Research Topics – Learning Theory

Research Area/ Research Interest: Learning Theory

Research Paper Topics for Masters and Ph.D. Thesis and publication

Mathematical reasoning outside the classroom-A case study with primary school students solving math trail tasks
Elementary math class in face-to-face, fully online, and flipped mode: A comparative study on students’ achievement and satisfaction
CHOICE OF PEDAGOGICAL AGENTS AS VIRTUAL MATH TUTORS: PERSPECTIVES FROM CHILDREN AND COLLEGE STUDENTS.
Action Research to Examine the Effects of Integrating Facebook, Twitter, and YouTube in Online Math Classes on Students’ Engagement
Parents’ math anxiety and their controlling and autonomy-supportive involvement in children’s math learning: Implications for children’s math achievement.
The principles of deep learning theory
… and longitudinal associations between parental educational involvement, teacher support, and math anxiety: The role of math learning involvement in elementary …
Student Teams Achievement Type Cooperative Learning Model Division For Increase Results Learn Math On Student
The Anxiety in the Room: An IPA Study of Coaching as an Intervention for Elementary Teachers with Math Anxiety
Motivation outcomes in math-related videogames
The effect of problem solving first vs explicit instruction first on math learning
The home math environment and math achievement: A meta-analysis.
Presenting a model of elementary school math curriculum with a mobile learning approach
Contextualized Mathematics: Teaching and Learning Math with Contextualized Mathematics
Maker Math: Exploring Mathematics through Digitally Fabricated Tools with K–12 In-Service Teachers
Building a math-talk learning community through number talks
The Effect of Prekindergarten Participation on Third-Grade Reading and Math
Linking academic buoyancy and math achievement in secondary school students: Does academic self-efficacy play a role?
Longitudinal prediction of children’s math anxiety from parent-child relationships
The Effects of Singaporean Math Model Method in Learning Place Values in Mathematical Operations
Math anxiety interferes with learning novel mathematics contents in early elementary school.
Identifying Non-Math Students from Brain MRIs with an Ensemble Classifier Based on Subspace-Enhanced Contrastive Learning
Math learning module model to stimulate critical thinking skills for elementary school students
An attempt of adaptability of the learning process and content in mobile math educational game
Achievement goals as predictors of female pre-service elementary school teachers’ self-efficacy for learning math in a methods course
Improvements in math instruction and student achievement through professional learning around the Common Core State Standards in Chicago
TAXONOMY OF TECHNOLOGY-BASED SUPPORT FOR ACCELERATED LEARNING OF SCHOOL MATH
Teacher implemented communal learning in math: Boosting learning with African American elementary students
Multi-Group Measurement Invariance of the IXL Real-Time Diagnostic Math Assessment
A literature review on math anxiety and learning mathematics: A general overview
THE ONLINE MATH INTERVIEW: BEGINNING ELEMENTARY TEACHERS ASSESSING MATHEMATICAL LEARNING IN THE VIRTUAL SPACE
Living math: Lave and Walkerdine on the meaning of everyday arithmetic
Effect on Student Achievement for Middle School Math Students Using Blackboard, Canvas and Schoology in the State of Virginia
The Effect of a Contextualized Dosage Calculation Learning Intervention on Pre-Nursing Students’ Math Self-Efficacy and Ability to Pass High Stakes Dosage …
The Home Math Environment and Math Achievement: A Meta-Analysis* Mia C. Daucourt, MS Amy R. Napoli, Ph. D. 3 Jamie M. Quinn, Ph. D. 2
Math trails supporting the collaboration between mathematics teachers in professional development
Multi-Representation Discourse Model and Math Problem Solving Skills of High School Students
Cooperation between preschool peers in relation to their math learning
Modelling Learner Growth for The Management of Math Anxiety and Fostering Achievement Through Resilience
Best Practices in Assessing and Intervening with Children with Math Disorders
Comparison of Differences in Levels per Group on Math Self-Regulated Learning Factors of High School Students
Geography and math teachers in distance learning education amid COVID-19 pandemic in Albania
The Impact of IXL on Math and ELA Learning in Wyoming
Improving mathematic communication ability through islamic math e-comic media: A study on building flat sides
Latine family math engagement: a phenomenological study of co-design approaches
A Teaching Practice Design Based on a Computational Thinking Approach for Prospective Math Teachers Using Ed-Tech Apps.
LEARNERS’LEARNING, PERFORMANCE, AND APPRECIATION TOWARDS TEACHER MADE MATH MODULES WITH ACROSS CURRICULUM …
Clause-level Relationship-aware Math Word Problems Solver
Math Anxiety, Engagement, and Performance in High and Low-stakes Tests in AP Statistics
Computer aided math learning as a tool to assess and increase motivation in learning math by visually impaired students
Practicing the Right Math: Enhancing Trust in an E-Learning Platform Using an Explainable Recommender System
The Intelligence Quotient-math achievement link: evidence from behavioral and biological research
Examining the contribution of student anxiety and opposition-defiance to the internal dynamics of affective, Cognitive and Behavioural Engagement in Math
Flexible Assessment in Math During (and After) COVID
Promoting Latinx adolescents’ math motivation through competence support: Culturally responsive practices in an afterschool program context
Learning Spatial Transformations and their Math Representations through Embodied Learning in Augmented Reality
A Pilot Movement Integrity with Intelligent Play Program (MIIP): Effects on Math Performance and Enjoyment for Preschoolers in China
An Examination of the Effect of Fine Arts Programs on Math Standardized Test Performance: A Quantitative Non-experimental Study
The influence of ict use and related attitudes on students’ math and science performance: multilevel analyses of the last decade’s pisa surveys
Handmade diagrams-learners doing math by using gestures
Old Math? New Math? Math!
Whiteboard seminars in an undergraduate math class: learning by doing
An Automatic Optimal Course Recommendation Method for Online Math Education Platforms Based on Bayesian Model
Task similarity aware meta learning: Theory-inspired improvement on maml
Students’ Activity in Problem-Based Learning (PBL) Math Classroom Be Oriented Lesson Study for Learning Community (LSLC)
Does Handwriting Impact Learning on Math Tutoring Systems?.
The Dynamic Influence of Remedial Teaching on Students’ Math Learning Motivation
Community math stories: Informal adult educators exploring mathematics identity through digital mathematics storytelling
Comparative study of gender on mental health selected aspects of problematic ses of the mobile phones (PUMP), stress, self-efficacy and locus of control …
Remote Teaching and Learning Math in English Through CLIL
IMPROVING RESULTS LEARNING MATH STUDENT CLASS I MIS MASHEBA THROUGH MODEL GAMES TWO COLOR TP 2020/2021
Does Daily Support of an In-School Math Tutoring Program Improve the Academic Performance of Subgroups in Seventh-Grade Mathematics in a Focus School?
‘I Can Create and Eat it for Snack’: How Can Cooking Activities Support Early Math Learning?
Meditative math-making
Effects of digital tasks on learning math for first-year engineering students
THE ROLE OF CULTURALLY RESPONSIVE MATH TEACHING WITHIN ADOLESCENT STUDENTS’BIO-ECOLOGICAL SYSTEMS
An Ontology-based Approach to Annotating Enactive Educational Media: Studies in Math Learning
Marvelous Math Club as a Catalyst for Asset-and Justice-based Thinking and Practices
Learning a Trade: Increasing Success Rates of African American Males in Gateway English and Math Courses in Trade Programs at Wilson Community College
Analyzing the Effects of Mathematical Mindsets and Self-regulation of Middle School Students to Overcome the Challenges of Math Anxiety
Elementary math in elementary school: The effect of interference on learning the multiplication table
Kernel Methods for Machine Learning with Math and Python: 100 Exercises for Building Logic
Math for the Masses
Making the difference: Training early childhood math teachers in STEM skills
Machine-learning mathematical structures
Identification of math teacher’s capabilities in classroom action research
After plantations’ precarities: curating math-thematic curriculum plots in initial teacher education for multispecies’ flourishing and a freedom-yet-to-come
Math abilities in deaf and hard of hearing children: The role of language in developing number concepts.
Responsive Math Teaching Heuristic: An Intervention for Supporting the Cognitive and Emotional Needs of Preservice Teachers
Embedded Tutors for Remedial Math
Jurnal Math Educator Nusantara
Evidence and Promises of AI Predictions to Understand Student Approaches to Math Learning in Abu Dhabi K12 Public Schools
Exploring the nature of math anxiety in young children: Intensity, prevalence, reasons
A scholarship of teaching and learning study of hospitality students’ attitudes toward and perceptions of math
Using logic to determine key items in math education
A sustainable model to structurally improve outcomes in Math courses for Engineering students.
Is the Mathematics Diagnostic Test a Good Predictor of College Students’ Prior Knowledge in Math?.
On the uniform approximation estimation of deep ReLU networks via frequency decomposition
Giving Number Words a Hand: Iconic Gesture’s Role in Supporting Children’s Math Language Development
Effectiveness of Sensory-Motor Integration on Self-Esteem and Performance Mathematical in Male Students with Math Learning Disorder in Kerman
Essential Math
An Examination of Effects and Interaction between Grade Looping, Grade Level, Elementary Math and English Language Arts Achievement
Maternal support of children’s math learning in associations between family income and math school readiness
The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
Direct numeracy activities and early math skills: Math language as a mediator
… Knowledge, Use, and Self-Efficacy of Teachers Teaching English Language Learners on Science, Technology, Engineering, Math, and Social Studies …
Math-odology: Methodology for teaching mathematics and tools for the implementation of virtual classes
The relationship between math anxiety and math achievement in young children is mediated through working memory, not by number sense, and it is not direct
Numbers (but not words) make math anxious individuals sweat: Physiological evidence
Student Success Analysis from Running a Pre-College Computer Science and Math Summer Program
Enhancing children’s math motivation with a joint intervention on mindset and gender stereotypes
The City as a Tool for STEAM Education: Problem-Posing in the Context of Math Trails
Learning Theory from First Principles
Model complexity of deep learning: A survey
The Role of Professional Learning Communities in Helping Teachers Use Metacognitive Discourse in Their Math Classroom
Influence of Math Anxiety on the Academic Performance of Grade 7 Students in Mathematics
Gender by racial/ethnic intersectionality in the patterns of Adolescents’ math motivation and their math achievement and engagement
The Patterns of Adolescents’ Math and Science Motivational Beliefs: Examining Within–Racial/Ethnic Group Changes and Their Relations to STEM Outcomes
Using the Rasch’s Partial Credit Model to Analyze the Quality of an Essay Math Test
An examination of gender differences in spatial skills and math attitudes in relation to mathematics success: A bio-psycho-social model
Development of math attitudes and math self-concepts: Gender differences, implicit–explicit dissociations, and relations to math achievement
The Role ofCLIL Integrated Mental Math Enhancement Technique’in Mathematical Reasoning Abilities of Secondary School Children
Can a short math video enhance the brain’s mathematical networks?
Rescuing Math and Science from Critical Race Theory’s Racial Discrimination. Issue Brief No. 5201.
Educational Environment As A Form For Development Of Math Teachers Methodological Competence
Do grades make me big? School effects of math ability and math grades on math self-concept
Generalization in quantum machine learning from few training data
“There are Always Ways to Cheat” Academic Dishonesty Strategies During Online Learning
The quality of teacher feedback matters: Examining Chinese teachers’ use of feedback strategies in preschool math lessons
A mixed-method cluster analysis of physical computing and robotics integration in middle-grade math lesson plans
Math Catcher Outreach Program
Differential patterns of growth in reading and math skills during elementary school.
Using Chess for Identifying and Correcting “Problem Areas” in the School Math Course
Modeling nonlinear dynamics of fluency development in an embodied-design mathematics learning environment with Recurrence Quantification Analysis
The association between student socioeconomic status and student–teacher relationships on math achievement.
Executive functions, math anxiety and math performance in middle school students
Exploring the mediating effect of academic engagement on math and reading achievement for students who have experienced maltreatment
The effectiveness of dynamic geometry software applications in learning mathematics: A meta-analysis study
The immigrant paradox and math self-concept: An SES-of-origin-country hypothesis
“I Can Math, Too!”: Reducing Math Anxiety in STEM-Related Courses Using a Combined Mindfulness and Growth Mindset Approach (MAGMA) in the Classroom
… AT THE UNIVERSITY OF MISSISSIPPI ENROLLED IN INTERMEDIATE MATH (DS 099) EARN HIGHER GRADES IN COLLEGE ALGEBRA (MATH 121) THAN THOSE …
How Ms. Mayen and her students co-constructed good-at-math
Optimal dimension dependence of the metropolis-adjusted langevin algorithm
The Effect Of Think Talk Write (TTW) Towards On Ability To Solve Math Story Questions In SD Negeri Tidung Rappocini District Makassar City
Applied Math in Introductory Chemistry
The Application of Rasch Model and MCI in Math Measurement in Grade 5th
Future math teachersreadiness to develop mathematical abilities of pupils
Effectiveness of Mother Tongue Based (MTB) Instruction in the Performance of Grade I Pupils in Math
Effects of Virtual Math Mentorships on Elementary Student Math Scores
A meta-analysis of the relation between math anxiety and math achievement.
The effect of brief anxiety interventions on reported anxiety and math test performance
Developing math talent: A comprehensive guide to math education for gifted students in elementary and middle school
Student perceptions of homework quality, autonomy support, effort, and math achievement: Testing models of reciprocal effects
Experimental analysis of machine learning methods for credit score classification
Using Wikis to Support Student Inquiry in Large Math Classes.
Skill, thrill, and will: the role of metacognition, interest, and self-control in predicting student engagement in mathematics learning over time
The Effect of Giving Ill-structured Math Problem and Well-structured Math Problem on the Self-efficacy of Junior High School Students
Using visual manipulatives to enhance math instruction
MATH DEPARTMENT
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction
Polytopes and machine learning
Structural Relationships Among School-Family Partnerships, Parental Involvement, Students’ Self-Efficacy, and Students’ Math Achievement: A Multilevel SEM …
… Teachers’ Beliefs and Awareness about Design Features and Academic Language Features When Choosing and Evaluating Digital Math Games for English …
Random processes in the brain: From experimental data to Math and back
Ambitious instruction and student achievement: Evidence from early career teachers and the TRU math observation instrument
Implementation of Educative Learning Media Counting Tree to Improve Student’s Cognitive Abilities in Kartika Tanjung Morawa Kindergarten
Identifying Students at Risk Using a New Math Skills Assessment
Effects of schematic chunking on enhancing geometry performance in students with Math difficulties and students at risk of Math failure
A CULTURE OF CHANGE: STUDENTS STORIES IN UNDERGRADUATE REFORM MATH
Rural Teachers’ and School Leaders’ Perceptions of School Climate and Student Achievement in Math and Reading: A Multiple Case Study
Tensor programs iv: Feature learning in infinite-width neural networks
Enforcing exact physics in scientific machine learning: a data-driven exterior calculus on graphs
A test for identification of math talent: developing a three-tier number sense test
Project-based learning and its potential in physical education: an instructional model inquiry
Fostering Critical Thinking Skills, and Engagement to Produce Better Retention of 4th Grade Math
Family cohesion facilitates learning-related behaviors and math competency at the transition to elementary school
Beyond Skill: Students’ Dispositions towards Math.
Using math in physics: Overview
A survey of on-device machine learning: An algorithms and learning theory perspective
A math-avoidant profession?: Review of the current research about early childhood teachers’ mathematics anxiety and empirical evidence
ODBOT: Outlier detection-based oversampling technique for imbalanced datasets learning
Teachers caring for students and students caring for math: The development of culturally and linguistically diverse adolescents’ math motivation
Ph. D. in Computer Science management in Social and Economic Systems Sajjad Haghgoo, 1st year student Computer Science math and computer science …
The stem of meaningful learning
Algorithms for solving high dimensional PDEs: from nonlinear Monte Carlo to machine learning
An improved Yolov3 based on dual path network for cherry tomatoes detection
Expectancy-value profiles in math and science: A person-centered approach to cross-domain motivation with academic and STEM-related outcomes
Long-Term Effects of Social-Emotional Learning on Academic Skills: Evidence from a Randomized Trial of INSIGHTS
What kinds of functions do deep neural networks learn? Insights from variational spline theory
“I can math!”: Reducing math anxiety and increasing math self-efficacy using a mindfulness and growth mindset-based intervention in first-year students
Development of math efficacy scale for junior high school student in Indonesia
Prediction of cement-based mortars compressive strength using machine learning techniques
Promoting children’s math motivation by changing parents’ gender stereotypes and expectations for math.
Always look on the bright side of math: A Closer Look at the Role of Emotion Regulation in Math Anxiety
Machine learning of high dimensional data on a noisy quantum processor
The influence of teachers’ math instructional practices on English learners’ reading comprehension and math problem-solving performance in Spanish and English
MATH CREATIVE GAMES: AN INTERVENTION MATERIAL IN TEACHING BASIC MATHEMATICS
The ability to solve mathematical problems through realistic mathematics learning based on ethnomathematics
But I’m Bad at Math: Students’ Feelings about Math and Intention to Declare a Degree in Psychology
A review of psychological impact on students online learning during covid-19 in malaysia
… ‘ Intelligence Mindset on Math Anxiety of Boys and Girls and the Role of Parents’ Failure Beliefs and Evaluation of Child’s Math Performance as Mediators
Length measurement in the early years: teaching and learning with learning trajectories
The impact of parents’ home-and school-based involvement on adolescents’ intrinsic motivation and anxiety in math
Multi-group analysis of the effects of coping with mathematics on math anxiety and achievement
How specific are learning disabilities?
Efficient measure for the expressivity of variational quantum algorithms
Skill-by-Treatment Interaction: Increasing the Likelihood for Success in Reading and Math
Learning in matrix games can be arbitrarily complex
The Design of Religious Value-Based Teaching Materials in Increasing Students’ Learning Achievement Elementary School
Only a burden for females in math? Gender and domain differences in the relation between adolescents’ fixed mindsets and motivation
Virtual Activities to Strengthen Basic Math Skills in Children
Visualizing Commognitive Responsibility Shift in Collaborative Problem-Solving During Computer-Supported One-to-One Math Tutoring
AN ETHNOGRAPHY OF RE/HUMANIZING (MATH) PEDAGOGIES AT A PREDOMINANTLY LATINX CALIFORNIA HIGH SCHOOL
EXPLORE THE INTEREST OF HIGH SCHOOL STUDENT IN MATH AND THEIR ABILITY TO THINK CRITICALLY IN PERCEPTIONS OF TEACHERS
A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus
Perceptions of mathematical creativity among math teachers in special education classrooms
Where’s the Math in Engineering?
Biology Students’ Math and Computer Science Task Values Are Closely Linked
Bilingualism, Math Anxiety, and Math Performance
An improved DQN path planning algorithm
Learning Size and Shape of Calabi-Yau Spaces
Trying to Make the Math World a Better Place
Stable sample compression schemes: New applications and an optimal SVM margin bound
Math Tasks to Promote Oral Language Development With English Learners
Applying learning analytics to detect sequences of actions and common errors in a geometry game
Network psychometrics and cognitive network science open new ways for understanding math anxiety as a complex system
Students’ motivational trajectories and academic success in math-intensive study programs: Why short-term motivational assessments matter.
A priori generalization analysis of the deep ritz method for solving high dimensional elliptic partial differential equations
Comorbidity between math and reading problems: Is phonological processing a mutual factor?
Machine learning applied on the district heating and cooling sector: A review
Matthew or compensatory effects? Factors that influence the math literacy of primary-school children in Germany
Convolutional neural network with group theory and random selection particle swarm optimizer for enhancing cancer image classification
Soft Computing
Effects of digital learning skill training on the academic performance of undergraduates in science and mathematics.
Effect of teacher support on students’ math attitudes: Measurement invariance and moderation of students’ background characteristics
CREATIVELY CONTEXTUALIZING THE MATH COURSE FOR ARCHITECTURE FRESHMEN
Proximal causal learning with kernels: Two-stage estimation and moment restriction
High school students’ math and science gender stereotypes: relations with their STEM outcomes and socializers’ stereotypes
Deep neural networks for choice analysis: A statistical learning theory perspective
Learning with user-level privacy
Themes in High School Math Teachers Racial Attitudes and the Impacts of Socio-demographic Factors
Soil–conduit interaction: an artificial intelligence application for reinforced concrete and corrugated steel conduits
Developmental dynamics between reading and math in elementary school
Are Students’ Math and Verbal Beliefs Malleable? the Roles of Theories of Intelligence and Praise
Teacher Perception of Implicit Mindset and its Influence on Math Instruction in Elementary Classrooms
Whose Math and For What Purpose? A Community Seminar on Identity, Culture, and Mathematics
Self-regulated learning and satisfaction: A key determinants of MOOC success
My 4 in 1 Math Plate
Artificial intelligence-based predictive model of nanoscale friction using experimental data
Superfast second-order methods for unconstrained convex optimization
Should I Start at MATH 101? Content Repetition as an Academic Strategy in Elective Curriculums
Exponential savings in agnostic active learning through abstention
Machine learning based energy-free structure predictions of molecules, transition states, and solids
Learning nonlinear dynamics with behavior ordinary/partial/system of the differential equations: looking through the lens of orthogonal neural networks
Leader in Me: Effects on Math Achievement
Calculated Avoidance: The Role of Effort-Based Valuations in the Relation Between Math Anxiety and Math Avoidance
A manifold p-spectral clustering with sparrow search algorithm
Machine learning for mobile network payment security evaluation system
The reciprocal 2I/E model: An investigation of mutual relations between achievement and self-concept levels and changes in the math and verbal domain across three …
Developmental trajectories of number line estimations in math anxiety: evidence from bounded and unbounded number line estimation
RIPPLES HAMILTONIAN GRAPH
Reducing Math Anxiety Through Art
What does gender has to do with math? Complex questions require complex answers
A novel transfer learning approach for the classification of histological images of colorectal cancer
Psychometric properties of the Ani Banani Math test
Improving Lesson Plan Models Using Online-Based in the New Normal Era

Feasibility-based fixed point networks
Quantum compiling by deep reinforcement learning
Comparison of machine learning and deep learning algorithms for hourly global/diffuse solar radiation predictions
An Investigation of the Relationship between the Parents’ Math Literacy Self-Efficacy and Their Math Anxieties
String Model Building, Reinforcement Learning and Genetic Algorithms
Physical education teachers’ online teaching experiences and perceptions during the COVID-19 pandemic
Social persuasions in math and their prediction of stem courses self-efficacy in middle school
A weighted network community detection algorithm based on deep learning
Parental math input is not uniformly beneficial for young children: The moderating role of inhibitory control.
Convergence rates for learning linear operators from noisy data
Voltage-sag source detection: Developing supervised methods and proposing a new unsupervised learning
Cultural reproduction theory and schooling: The relationship between student capital and opportunity to learn
Longitude & Latitude Latitude-8, 13, 42, Longitude-77, 24, 55 Phone number 04652 237400 Fax Number 04652290466 Office Hours at the institution 9: 00 AM …
Sample complexity bounds for stochastic shortest path with a generative model
EVALUATING THE LEVEL OF THEMATIC AND PEDAGOGICAL KNOWLEDGE OF STUDENT-MATH TEACHERS IN THE FIELD OF PROBABILITY
Intergenerational features of math skills: symbolic and non-symbolic magnitude comparison and written calculation in mothers and children
Universal compiling and (no-) free-lunch theorems for continuous-variable quantum learning
Rademacher complexity of noisy quantum circuits
Explainable machine learning can outperform Cox regression predictions and provide insights in breast cancer survival
Electrophysiological evidence for internalized representations of canonical finger-number gestures and their facilitating effects on adults’ math verification …
A framework for machine learning of model error in dynamical systems
Evaluating the effectiveness of cognitive-behavioral therapy on math self-concept and math anxiety of elementary school students
Incorporating problem-based learning in a secondary school mathematics preservice teacher education course
Rates of estimation of optimal transport maps using plug-in estimators via barycentric projections
A novel ensemble learning-based grey model for electricity supply forecasting in China
Machine Learning-driven optimization for SVM-based intrusion detection system in vehicular ad hoc networks
A cautionary tale of decorrelating theory uncertainties
Relationship Among Class Perceptions, Math Identification, and STEM Choice: Examining Gender and Racial Differences
Math for Liberation: Designing a Math of Voting Systems Unit for Lewiston Middle School
The Association between Approximate Number Sense (ANS) and Math Achievement Depends on the Format of the ANS Test
Integration of social media for smart pedagogy: initial perceptions of senior high school students in Ghana
Latinx High School Students’ Math/Science Motivational Beliefs Predicting AP Math and AP Science Enrollment and the Role of Educators
Evaluation quantitative structure-activity relationship (QSAR) using ensemble learning methods on acetylcholinesterase inhibitors for Alzheimer’s disease
Do I belong in my math class? The importance of perceived racial/ethnic context and math course sequence
Preschool Teachers Perspectives on Math Curriculum Orientations: A cross-cultural study between Portugal and Sweden
Zeroth-order algorithms for smooth saddle-point problems
Digital medicine and the curse of dimensionality
Challenging the Gold Standard in Lifespan Cognitive Neuroscience: An Event-Related Potential Analysis of Math as We Grow and Reading as We Age
COUNTERSTORIES OF PRESERVICE ELEMENTARY TEACHERS: STRATEGIES FOR SUCCESSFUL COMPLETION OF THEIR MATH CONTENT …
Tensor programs iib: Architectural universality of neural tangent kernel training dynamics
Feel-good thompson sampling for contextual bandits and reinforcement learning
A dimension-free computational upper-bound for smooth optimal transport estimation
Adversarial laws of large numbers and optimal regret in online classification
Augmented reality technology in science education for students with specific learning difficulties: Its effect on students’ learning and views
Factor Structure and Gender Invariance of the Abbreviated Math Anxiety Scale (AMAS) in Middle School Students
Learning to unknot
International differences in math and science tilts: The stability, geography, and predictive power of tilt for economic criteria
Numerical estimation strategies are correlated with math ability in school-aged children
On fitting and forecasting the log-returns of cryptocurrency exchange rates using a new logistic model and machine learning algorithms
Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods
Machine-learning-enhanced tail end prediction of structural response statistics in earthquake engineering
The Warped Resolvent of a Set-Valued Operator: Theory and Applications
ISSUE CONTENTS
Machine Learning Kreuzer–Skarke Calabi–Yau Threefolds
RESEARCH ANNOUNCEMENTS ON DPK: DEEP NEURAL NETWORK APPROXIMATION OF THE FIRST PIOLA-KIRCHHOFF STRESS¥
Distribution-free robust linear regression
A systematic review of research on personalized learning: Personalized by whom, to what, how, and for what purpose (s)?
An evaluation of the incremental impact of math intervention on early literacy performance
What is life? A perspective of the mathematical kinetic theory of active particles
Personalized Computer Support of Performance Rates and Education Process in High School: Case Study of Engineering Students.
The effectiveness of hybrid learning in improving of teacher-student relationship in terms of learning motivation
The Warped Resolvent of a Set-Valued Operator: Theory and Applications
ISSUE CONTENTS
Machine Learning Kreuzer–Skarke Calabi–Yau Threefolds
RESEARCH ANNOUNCEMENTS ON DPK: DEEP NEURAL NETWORK APPROXIMATION OF THE FIRST PIOLA-KIRCHHOFF STRESS¥
Distribution-free robust linear regression
A systematic review of research on personalized learning: Personalized by whom, to what, how, and for what purpose (s)?
An evaluation of the incremental impact of math intervention on early literacy performance
What is life? A perspective of the mathematical kinetic theory of active particles
Personalized Computer Support of Performance Rates and Education Process in High School: Case Study of Engineering Students.
The effectiveness of hybrid learning in improving of teacher-student relationship in terms of learning motivation
Improved slime mould algorithm by opposition-based learning and Levy flight distribution for global optimization and advances in real-world engineering problems
The Culture of Acquisition and the Practice of Understanding 1
Color difference classification of dyed fabrics via a kernel extreme learning machine based on an improved grasshopper optimization algorithm
Kernel distributionally robust optimization: Generalized duality theorem and stochastic approximation
Moderators of dimensional comparison effects: A comprehensive replication study putting prior findings on five moderators to the test and going beyond.
Learning temporal quantum tomography
Local and global stimuli in reinforcement learning
Global optimality beyond two layers: Training deep relu networks via convex programs
Identifying Correlations in Academic Anxiety to Coin the Term” Math-Related Testing Anxiety”
STRESSORS AND BURNOUT SYMPTOMS OF MATH TEACHERS IN CROATIAN PRIMARY AND HIGH SCHOOLS
Safe learning in robotics: From learning-based control to safe reinforcement learning
Sustainable process improvements: Evidence from intervention-based research
Boyer 4th
Embodiment as a pedagogical tool to enhance learning
“Math gives me a tummy ache!” Mathematics anxiety in kindergarten
Statistics for kids: Model-eliciting activities to investigate concepts in statistics
An ensemble of prediction and learning mechanism for improving accuracy of anomaly detection in network intrusion environments
Resetting education priorities during COVID-19: Towards equitable learning opportunities through inclusion and equity
Mathematics Self-Efficacy and the Use of Virtual Math Manipulatives Among Pre-Service Teachers
Math Aiders Mentoring Program as Remedial Class for Low-Performing Learners
Uniform convergence of interpolators: Gaussian width, norm bounds and benign overfitting
Hilbert series, machine learning, and applications to physics
CALL-enhanced L2 vocabulary learning: using spaced exposure through CALL to enhance L2 vocabulary retention
A novel method of spectral clustering in attributed networks by constructing parameter-free affinity matrix
TLMPA: Teaching-learning-based Marine Predators algorithm
Machine learning-data mining integrated approach for premature ventricular contraction prediction
The Effects of Mental Abacus Instruction on First and 2nd Grade Students’ Math Assessment Scores in a Small Northeastern US State
A meta-analysis of Geogebra software decade of assisted mathematics learning: what to learn and where to go?
Early damage detection by an innovative unsupervised learning method based on kernel null space and peak-over-threshold
Alternating DCA for reduced-rank multitask linear regression with covariance matrix estimation
Learning maximally monotone operators for image recovery
Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation
Manifold learning with arbitrary norms
A new approach for generation of generalized basic probability assignment in the evidence theory
Reduction of computational error by optimizing SVR kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization …
Students’ modelling processes when working with math trails
Deep reinforcement learning techniques in diversified domains: a survey
Modelling the mechanical behaviour of soils using machine learning algorithms with explicit formulations
Statistical machine learning in model predictive control of nonlinear processes
Fractal structure and generalization properties of stochastic optimization algorithms
Data-driven vector soliton solutions of coupled nonlinear Schrödinger equation using a deep learning algorithm
Semantic segmentation of PolSAR image data using advanced deep learning model
A framework based on sparse representation model for time series prediction in smart city
Graphic Calculators: Effect on the Mathematical Performance of Students
PotNet: Pothole detection for autonomous vehicle system using convolutional neural network
Adaptation and psychometric evaluation of Modified Abbreviated Math Anxiety Scale for children in Serbia
Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review
Differentially private stochastic optimization: New results in convex and non-convex settings
A Phenomenological Study of Perceived Factors Influencing Math Teachers’ Technology Self-Efficacy
Mirror descent and the information ratio
Training image free high-order stochastic simulation based on aggregated kernel statistics
Machine learning Lie structures & applications to physics
DEVELOPING STUDENT WORKSHEET-BASED COOPERATIVE LEARNING MODEL FOR IMPROVING PROBLEM SOLVING ABILITY
Leveraging Formulae and Text for Improved Math Retrieval
State-of-the-art review of machine learning applications in constitutive modeling of soils
DPRL Systems in the CLEF 2022 ARQMath Lab: Introducing MathAMR for Math-Aware Search
Flex: fixing flaky tests in machine learning projects by updating assertion bounds
Development of an authentic assessment model in mathematics learning: A science, technology, engineering, and mathematics (STEM) approach
The Relationships among Locus of Control, the Impostor Phenomenon, and Math Anxiety in Business Majors
The effectiveness of child-centered play therapy on improving working memory and attention in children with math disorders
A meta-analysis of COVID learning loss
An exploratory study on academic staff perception towards blended learning in higher education
Structured logconcave sampling with a restricted gaussian oracle
Improving the Academic Self-Efficacy of Students Using Mobile Educational Apps in Virtual Learning: A Review.
On optimal recovery in L2
Extensive studies of the neutron star equation of state from the deep learning inference with the observational data augmentation
The COVID-19 pandemic and school closure: learning loss in mathematics in primary education
Investigating factors that influence math homework purposes: A multilevel analysis
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
Digital learning enhancement through social network site (SNS)
Assessment practices and beliefs: Teachers’ perspectives on assessment during long distance learning
Task features change the relation between math anxiety and number line estimation performance with rational numbers: Two large-scale online studies
An intelligent diagnosis framework for roller bearing fault under speed fluctuation condition
Stability and Deviation Optimal Risk Bounds with Convergence Rate
The neural network collocation method for solving partial differential equations
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Using large-scale experiments and machine learning to discover theories of human decision-making
University students’ self-regulation, engagement and performance in flipped learning
Examining the Impacts of Florida’s Developmental Education Reform for Non-Exempt Students: The Case of First-Year English and Math Course Enrollment and …
Facial emotion expressions in human–robot interaction: a survey
Enabling security for the Industrial Internet of Things using deep learning, blockchain, and coalitions
CORRELATES OF EXAM PERFORMANCE IN AN INTRODUCTORY STATISTICS COURSE: BASIC MATH SKILLS ALONG WITH SELF-REPORTED …
Advancing mathematics by guiding human intuition with AI
Machine-learning the Sato–Tate conjecture
Understanding deep learning (still) requires rethinking generalization
Predictors and Consequences of Math Course Repetition: The Role of Horizontal and Vertical Repetition in Success Among Community College Transfer Students
Digital Educational Computer Games Environments Supporting Education (DECGE-SE).
Adaptive momentum-based optimization to train deep neural network for simulating the static stability of the composite structure
A virtual coaching model of professional development to increase teachers’ digital learning competencies
Robust semi-supervised support vector machines with Laplace kernel-induced correntropy loss functions
The Good, The Bad, and The Ugly of a Synchronous Online CS1
Bio-inspired design of a porous resorbable scaffold for bone reconstruction: A preliminary study
Guided math in action: Building each student’s mathematical proficiency with small-group Instruction
Chaos and complexity from quantum neural network. A study with diffusion metric in machine learning
Machine learning approach for the prediction and optimization of thermal transport properties
Minimax regret for stochastic shortest path with adversarial costs and known transition
Real-time fire detection algorithm based on support vector machine with dynamic time warping kernel function
Provably efficient reinforcement learning in decentralized general-sum markov games
Artificial intelligence in education: The three paradigms
Matching-theory-based low-latency scheme for multitask federated learning in MEC networks
The Factor Structure of Parents’ Math-Related Talk and Its Relation to Children’s Early Academic Skills
Self-concept and self-efficacy in math: longitudinal interrelations and reciprocal linkages with achievement
Gender differences in digital learning during COVID-19: competence beliefs, intrinsic value, learning engagement, and perceived teacher support
Two decades of game concepts in digital learning environments–A bibliometric study and research agenda
The Impact of Computer Based Test and Students’ Ability in Computer Self-Efficacy on Mathematics Learning Outcomes
Deep learning-influenced joint vehicle-to-infrastructure and vehicle-to-vehicle communication approach for internet of vehicles
Large-scale pinball twin support vector machines

Understanding what determines university students’ behavioral engagement in a group-based flipped learning context
The effects of scientific self-efficacy and cognitive anxiety on science engagement with the “question-observation-doing-explanation” model during school …
Machine learning applications for building structural design and performance assessment: State-of-the-art review
Detection of the multivariate geochemical anomalies associated with mineralization using a deep convolutional neural network and a pixel-pair feature method
Foundations of online learning: Challenges and opportunities
Illusory gender-equality paradox, math self-concept, and frame-of-reference effects: New integrative explanations for multiple paradoxes.
Probalistic Thinking Based on Probabilistic Thinking Responses to Math Problem Solving
A precise and stable machine learning algorithm: eigenvalue classification (EigenClass)
Encoding the atomic structure for machine learning in materials science
Application of Collaborative Teamwork Learning Model and Guided Note Taking Model and Their Influence on Students’ Ability to Understand Mathematical Concepts
An extended hesitant fuzzy set using SWARA-MULTIMOORA approach to adapt online education for the control of the pandemic spread of COVID-19 in …
Variable-order approach to nonlocal elasticity: Theoretical formulation, order identification via deep learning, and applications
A review on extreme learning machine
Stochastic training is not necessary for generalization
Few-shot language coordination by modeling theory of mind
Bayesian Topology Learning and noise removal from network data
Scale-covariant and scale-invariant Gaussian derivative networks
… . University of California, Riverside, California, November 9–10, 2019. Providence, RI: American Mathematical Society (AMS). Contemp. Math. 774, 97-151 …
Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks
Fl-ntk: A neural tangent kernel-based framework for federated learning analysis
A practical perspective on knowledge space theory: ALEKS and its data
The intrinsic learning goals of elementary school students, in their own words
Enhancing the understanding of hydrological responses induced by ecological water replenishment using improved machine learning models: A case study in …
Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic
Using machine learning to predict the sentiment of online reviews: a new framework for comparative analysis
Stock market trend detection and automatic decision-making through a network-based classification model
Amorphous metal oxide semiconductor thin film, analog memristor, and autonomous local learning for neuromorphic systems
Deep learning for geophysics: Current and future trends
Growth mindset predicts achievement only among rich students: examining the interplay between mindset and socioeconomic status
Recent advances for quantum classifiers
Expressive Writing Intervention Effects on Math Anxiety and Math Performance
Machine learning-based genetic feature identification and fatigue life prediction
Disrupting deficit narratives in informal science education: applying community cultural wealth theory to youth learning and engagement
Stunted upward mobility in a learning environment reduces the academic benefits of growth mindsets
Generalization of model-agnostic meta-learning algorithms: Recurring and unseen tasks
Development of math anxiety in prospective elementary teachers
Effects of fuzzy settings in Korovkin theory via P p-statistical convergence
Stability and generalization of stochastic gradient methods for minimax problems
Modeling: ratio between means of teaching and motor training in junior school physical education classes
Magnetic resonance parameter mapping using model-guided self-supervised deep learning
Improving climate change awareness of preservice teachers (Psts) through a university science learning environment
An intelligent computer method for vibration responses of the spinning multi-layer symmetric nanosystem using multi-physics modeling
Learning rates for stochastic gradient descent with nonconvex objectives
A unifying representer theorem for inverse problems and machine learning
Advanced metaheuristic techniques for mechanical design problems
Intelligent problem-solving as integrated hierarchical reinforcement learning
Brain tumor diagnosis based on metaheuristics and deep learning
An overview of MCMC methods: from theory to applications
Learning and exploring motor skills with spacetime bounds
… effect of game–based immersive virtual reality learning environment on learning outcomes: designing an intrinsic integrated educational game for pre–class learning
Teacher Professional Development on Self-Determination Theory–Based Design Thinking in STEM Education
High performance correctly rounded math libraries for 32-bit floating point representations
High school students’ acceptance and use of mobile technology in learning mathematics
The Relationship between Prekindergarten and Math Achievement of First Graders in a Title One School
Poetry and math: The philosophy of education throughout history
Resource-rational decision making
Which class matters? Juxtaposing multiple class environments as frames-of-reference for academic self-concept formation.
A survey of defensive deception: Approaches using game theory and machine learning
Adaptive Reasoning Profile Field-Dependent And Field-Independent Cognitive Style Of Students In Planing Solutions To Solve The Math-Problem
To flip or not to flip? A meta-analysis of the efficacy of flipped learning in higher education
Tight bounds on the Fourier growth of bounded functions on the hypercube
An approach to generate correctly rounded math libraries for new floating point variants
The Economic In International Islamic Education Strategy Collaboration: A Rapid Review
Walk-forward empirical wavelet random vector functional link for time series forecasting
DeepGreen: Deep learning of Green’s functions for nonlinear boundary value problems
A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine
Learning points, lines, and plane geometry with Hawgent dynamic mathematics software
Neighborhood and center difference-based-LBP for face recognition
Quantum information processing algorithms with emphasis on machine learning
Strategic learning towards equilibrium. Exploratory analysis and models.
Machine learning with quantum computers
A machine-learning-based alloy design platform that enables both forward and inverse predictions for thermo-mechanically controlled processed (TMCP) …
Teachers’ potential to promote students’ deeper learning in whole-class teaching: An observation study in Norwegian classrooms
Image deconvolution for optical small satellite with deep learning and real-time GPU acceleration
Inquiring tweets want to know:# Edchat supports for# RemoteTeaching during COVID-19
Using the UTAUT model to understand students’ usage of e-learning systems in developing countries
Supervised machine learning models for prediction of COVID-19 infection using epidemiology dataset
Curriculum design in the flipped classroom for elementary math lessons
Investigating bidirectional links between the quality of teacher–child relationships and children’s interest and pre-academic skills in literacy and math
A survey on machine-learning approaches: Theory and their concepts
Systematics of type IIB moduli stabilisation with odd axions
A survey of learning-based intelligent optimization algorithms
Separating adaptive streaming from oblivious streaming using the bounded storage model
Efficient constrained sampling via the mirror-Langevin algorithm
Beneficial and harmful explanatory machine learning
A new transductive learning method with universum data
Sample-efficient learning of interacting quantum systems
Evaluation of self-regulated learning on problem-solving skills in online basic Physics learning during the COVID-19 pandemic
A quantum-inspired classifier for clonogenic assay evaluations
Artificial intelligence to model the performance of concrete mixtures and elements: a review
Entanglement-based feature extraction by tensor network machine learning
Analysis of blended learning model application using text mining method
Learning Moore machines from input–output traces
Digital support for student engagement in blended learning based on self-determination theory
Nonparametric variational learning of multivariate beta mixture models in medical applications
Tea leaf disease detection using multi-objective image segmentation
Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models
I Don’T Know What to Do: a Mixed Method Study of Math Anxiety as Perceived by Students and Their Parents
Density-weighted support vector machines for binary class imbalance learning
New technology, new role of parents: How parents’ beliefs and behavior affect students’ digital media self-efficacy
Educational theory and its application to advanced life support courses: a narrative review
Mathematical problem solving ability and student interest in learning using google classroom
Using the first principles of instruction and multimedia learning principles to design and develop in-game learning support videos
Extracurricular activities and Chinese children’s school readiness: Who benefits more?
Applying machine learning approach in recycling
Monte Carlo method at the 24 game and its application for mathematics education
The discovery of dynamics via linear multistep methods and deep learning: Error estimation
Facilitating young children’s numeracy talk in play: The role of parent prompts
A review on COVID-19 forecasting models
DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires
Train to Reason: Sports and the Girls’ Math-Reading Gap
Engagement and satisfaction: Mixed-method analysis of blended learning in the sciences
Developing research-based instructional materials to support large-scale transformation of science teaching and learning: The approach of the OpenSciEd middle …
‘ELLevating’the Success of High School Emergent Bilinguals in Math:: Appropriate Accommodations and Strategies for Building Confident Learners
Efficient and targeted COVID-19 border testing via reinforcement learning
Learning technology models that support personalization within blended learning environments in higher education
Data augmentation and feature selection for automatic model recommendation in computational physics
Partially online damage detection using long-term modal data under severe environmental effects by unsupervised feature selection and local metric learning
Relations between perceived teacher’s autonomy support, cognitive appraisals and boredom in physics learning among lower secondary school students
Motivating Online Learning through Project-Based Learning during the 2020 COVID-19 Pandemic.
Improved rates for differentially private stochastic convex optimization with heavy-tailed data
Spectral bias and task-model alignment explain generalization in kernel regression and infinitely wide neural networks
Negative emotions, cognitive load, acceptance, and self-perceived learning outcome in emergency remote education during COVID-19
Null relations between CLASS scores and gains in children’s language, math, and executive function skills: A replication and extension study
A knowledge-enhanced deep reinforcement learning-based shape optimizer for aerodynamic mitigation of wind-sensitive structures
Crack detection using fusion features-based broad learning system and image processing
Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem
Linking inhibitory control to math achievement via comparison of conflicting decimal numbers
A new base basic probability assignment approach for conflict data fusion in the evidence theory
The moderating effect of social capital on co-regulated learning for MOOC achievement
On the statistical complexity of quantum circuits
Emerging neurodevelopmental perspectives on mathematical learning
Translating math formula images to LaTeX sequences using deep neural networks with sequence-level training
An Investigation of the Factors that Motivate Students in Algebra II Math Class at a Selected High School in Tennessee.
Supportive Environments for Developing Talent 2
Intelligent fault diagnosis of hydraulic piston pump based on wavelet analysis and improved alexnet
Same But Different Math: Helping Students Connect Concepts, Build Number Sense, and Deepen Understanding
The role of strategy-based motivation in mathematical problem solving: The case of learner-generated drawings
Is skill type the key to the prek fadeout puzzle? Differential associations between enrollment in preK and constrained and unconstrained skills across kindergarten
The impact of coronavirus pandemic (COVID-19) on education: The role of virtual and remote laboratories in education
Robust regional coordination of inverter-based Volt/Var control via multi-agent deep reinforcement learning
Fine-tuning is fine in federated learning
The Effectiveness of Educational Pillars Based on Vygotsky’s Theory in Achievement and Information Processing Among First Intermediate Class Students
Explicit soft supersymmetry breaking in the heterotic M-theory B− L MSSM
Benefits of additional online practice opportunities in higher education
Discrepancy bounds for a class of negatively dependent random points including Latin hypercube samples
Data-driven mechanism based on fuzzy Lagrangian twin parametric-margin support vector machine for biomedical data analysis
A Holistic Digital Game-Based Learning Approach to Out-of-School Primary Programming Education.
A deep survey on supervised learning based human detection and activity classification methods
Non stationary multi-armed bandit: Empirical evaluation of a new concept drift-aware algorithm
Performance analysis on liquid-cooled battery thermal management for electric vehicles based on machine learning
The role of affective teacher-student relationships in adolescents’ school engagement and achievement trajectories
Higher education students’ online instruction perceptions: A quality virtual learning environment
Management and entrepreneurship management mechanism of college students based on support vector machine algorithm
Scalable kernel-based SVM classification algorithm on imbalance air quality data for proficient healthcare
Energy consumption prediction method based on LSSVM-PSO model for autonomous underwater gliders
Improving students’ retention using machine learning: Impacts and implications
Near-optimal no-regret learning for correlated equilibria in multi-player general-sum games
Control Systems and Reinforcement Learning
Teacher Mindsets Help Explain Where a Growth-Mindset Intervention Does and Doesn’t Work
Jurnal Math Educator Nusantara
Grokking Machine Learning
Data-enabled extremum seeking: a cooperative concurrent learning-based approach
Robust learning from noisy, incomplete, high-dimensional experimental data via physically constrained symbolic regression
Review on machine learning algorithm based fault detection in induction motors
Agent architecture of an intelligent medical system based on federated learning and blockchain technology
Math Attitudes and Achievement: The Moderating Role of Perceived Same-Ethnic Representation in Math Class
Deep-learning-based inverse modeling approaches: A subsurface flow example
Performance task assessment supported by the design thinking process: Results from a true experimental research
Revealed preferences of fourth graders when requesting face-to-face help while doing math exercises online
PPT-Audio; The Alternative Audio-Visual Media for Online Learning during the Corona Pandemic
Graph neural networks for distributed linear-quadratic control
Medical image analysis based on deep learning approach
Learning dynamical systems from data: a simple cross-validation perspective, part I: parametric kernel flows
Comparative analysis of machine learning algorithms for prediction of smart grid stability†
Online reinforcement learning for a continuous space system with experimental validation
Parents’ perceived goals for early mathematics learning and their relations with children’s motivation to learn mathematics
Full STEAM Ahead, but Who Has the Map for Integration?–A PRISMA Systematic Review on the Incorporation of Interdisciplinary Learning into Schools.
A blended learning teaching strategy strengthens the nursing students’ performance and self-reported learning outcome achievement in an anatomy …
Stein’s Method Meets Statistics: A Review of Some Recent Developments
Classification by ordinal sums of conjunctive and disjunctive functions for explainable AI and interpretable machine learning solutions
Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods
Numerical solution and bifurcation analysis of nonlinear partial differential equations with extreme learning machines
Impact Evaluation of Technology Driven Mental Health Capacity Building in Bihar, India
Why college students procrastinate in online courses: A self-regulated learning perspective
Detection and severity analysis of tea leaf blight based on deep learning
Interpretable machine learning: Fundamental principles and 10 grand challenges
Solving localized wave solutions of the derivative nonlinear Schrödinger equation using an improved PINN method
Profiles of teachers’ need-support: How do autonomy support, structure, and involvement cohere and predict motivation and learning outcomes?
Secure prediction and assessment of sports injuries using deep learning based convolutional neural network
Near-optimal lower bounds for convex optimization for all orders of smoothness
Building bridges to advance the community of inquiry framework for online learning
The development of learning innovation to enhance higher order thinking skills for students in Thailand junior high schools
The Context-Oriented System Based on ELECTRA for Solving Math Word Problem
A survey of active learning for quantifying vegetation traits from terrestrial earth observation data
Autonomy support predicts language mindsets: Implications for developing communicative competence and willingness to communicate in EFL classrooms
Blockchain technology adoption in smart learning environments
Improved fuzzy-assisted hierarchical neural network system for design of computer-aided English teaching system
Estimation of flood in a river basin through neural networks: a case study
Individual differences in self-regulated learning: Exploring the nexus of motivational beliefs, self-efficacy, and SRL strategies in EFL writing
Introduction to high-dimensional statistics
Let’s do the Math… About Creativity and Mathematical Reasoning: A Correlational Study in Primary School Children
Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices
The Context-Oriented System Based on ELECTRA for Solving Math Word Problem
A survey of active learning for quantifying vegetation traits from terrestrial earth observation data
Autonomy support predicts language mindsets: Implications for developing communicative competence and willingness to communicate in EFL classrooms
Blockchain technology adoption in smart learning environRegret minimization in stochastic non-convex learning via a proximal-gradient approach
Online inverse reinforcement learning for nonlinear systems with adversarial attacks
Reward biased maximum likelihood estimation for reinforcement learning
In-depth analysis of SVM kernel learning and its components
Decentralized Q-learning in zero-sum Markov games
The impact of the virtual learning platform EDUKA on the academic performance of primary school children
Construction of statistical SVM based recognition model for handwritten character recognition
Materialist epistemology lends design wings: educational design as an embodied process
On the trade-off between number of examples and precision of supervision in machine learning problems
Mathbert: A pre-trained model for mathematical formula understanding
ments
Improved fuzzy-assisted hierarchical neural network system for design of computer-aided English teaching system
Estimation of flood in a river basin through neural networks: a case study
Individual differences in self-regulated learning: Exploring the nexus of motivational beliefs, self-efficacy, and SRL strategies in EFL writing
Introduction to high-dimensional statistics
Let’s do the Math… About Creativity and Mathematical Reasoning: A Correlational Study in Primary School Children
Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices
Asymptotics for semidiscrete entropic optimal transport
Flipped learning design fidelity, self-regulated learning, satisfaction, and continuance intention in a university flipped learning course
JFB: Jacobian-free backpropagation for implicit networks
Comparison of high-dimensional neural networks using hypercomplex numbers in a robot manipulator control
Five strategies for optimizing instructional materials: Instructor-and learner-managed cognitive load
Evaluating Math to Mastery using brief experimental analysis procedures
Mindfulness and other simple neuroscience-based proposals to promote the learning performance and mental health of students during the COVID-19 pandemic
A single-timescale stochastic bilevel optimization method
No-go theorem for acceleration in the hyperbolic plane
Motivation-achievement cycles in learning: A literature review and research agenda
Noise stability of weighted majority
Compressive statistical learning with random feature moments
Tropical geometry and machine learning
Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review
The contribution of dispositional learning analytics to precision education
Analysis and prediction of COVID-19 Using SIR, SEIQR, and machine learning models: Australia, Italy, and UK Cases
State-dependent temperature control for Langevin diffusions
How “Flipped RTI” Affects Middle School Student Math Growth and Self-Efficacy Perceptions
Evolving deep convolutional neutral network by hybrid sine–cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray images
Comparing the Efficacy of Two Affirmation Interventions to Reduce Stereotype Threat Effects on Women’s Math Performance
Math Education and Piaget’s Theory: A Conversation with Constance Kamii.
On the different effects of teacher–student rapport on urban and rural students’ math learning in China: An empirical study
Exploring the Material-to-Abstract Transition in Mathematical Thinking to Increase the Performance in Math for Selected Fifth Grader Pupils
A Study of the Implementation of a Middle School Math Program and Student Achievement
Math for Humans: Teaching Math Through 7 Intelligences
Learning in the context of math anxiety
Examining the influence of a mobile learning intervention on third grade math achievement
The challenge of collaborative learning in engineering and math
TAXONOMY OF TECHNOLOGY-BASED SUPPORT FOR ACCELERATED LEARNING OF SCHOOL MATH
University− Urban high school partnership: Math and science professional learning communities
Student Teams Achievement Type Cooperative Learning Model Division For Increase Results Learn Math On Student
Positive mood and math performance
Developing A Math Learning Environment–A Learning Object Approach
The effect of problem solving first vs explicit instruction first on math learning
MATH AND PROFESSIONAL STUDIES SUPPORTING EACH OTHER
Did Learning Mathematics Online increase Students’ Math Proficiency?: An Outcome Study of a Vocational High School’s use of an Online Mathematics Program
Conceptual model for problem-based learning in learning media math
Students as Math Level Designers: How students position themselves through design of a math learning game
Math learning environment with game-like elements: an incremental approach for enhancing student engagement and learning effectiveness
Math 322: Group Theory Fall Term, 2014
Using video prompting to teach math skills to adolescent students with specific learning disabilities (SLD) via iPad
Creating Project-Based Math Curricula: A Narrative Inquiry
PROPOSAL: INSTRUCTIONAL MATH TESTING SOFTWARE
Math reading comprehension: Comparing effectiveness of various conversation frameworks in an ITS
Efforts To Increase Learning Math Levels With Realistic Math Learning (Pmr) For Student Class V Min Bukit Kubu Beres
UDL Implementation in the Math Classroom: Practical Applications for Monday’s Lessons
Self-efficacy beliefs as mediators in math learning: A structural model
A Quantitative Study of the Use of DreamBox Learning and Its Effectiveness in Improving Math Achievement of Elementary Students with Math Difficulties
A two-phase classifier for automatic answer generation for math word problems
Teacher perceptions of professional learning communities’ impact on math critical thinking pedagogy
The influence of math beliefs on math success in introductory college math classes
Effect of Collaborative Learning in Interaction with the Learning Styles (Dependent and Independent on Context) on Educational Achievement of Female …
The effects of a learning station on the completion and accuracy of math homework for middle school students
Two-stage screening for math problem-solving difficulty using dynamic assessment of algebraic learning
Teaching with a Fully Digital, Year-Long Math Program: Learning Science Futures on the Front Line.
Implementation of Web-based Learning Tool using Skemp’s Theory and Its applications to Multiplication and Division Operations in Elementary School Math …
Service learning within a secondary math and science teacher education program: Preservice MAT teachers’ perspectives
Math History Study Abroad Program: Learning Math History in
Sex differences in math performance: The role of children’s approach to schoolwork.
The role of self-efficacy, achievement goals, learning strategies and persistence in math achievement of 11th Grade High Schools Students in Tehran
Connecting learning, memory, and representation in math education.
E-learning resources for successful math teaching to pupils of primary school
Selection Criterion for Log-Linear Models Using Statistical Learning Theory
The math of detecting communities
Basics of Math and Graph
THE IMPACT OF MATH TEACHERS ON STUDENT LEARNING AND MOTIVATION
Self-selected learning communities for problem solving in online math courses
Extended instruction in business courses to enhance student achievement in math
THE COGNITIVE COMPLEXITY ESTIMATION OF THE BASIC STATEMENTS OF THE SCHOOL MATH COURSE
Processing abilities associated with math skills in adult learning disability
Development of math anxiety and its longitudinal relationships with arithmetic achievement among primary school children
Self-regulation, motivation, and math achievement in middle school: Variations across grade level and math context
Quality evaluation of learning math tests
Flipping the math classroom for non-math majors to enrich their learning experience
How to do math with words: Learning algebra through peer discussions
BISOCIATION IN MATH EDUCATION
A literature review on math anxiety and learning mathematics: A general overview
Self-Regulated Learning Strategies and Their Effects on MUFY Math Performance
Self-regulated learning between low, average, and high math achievers among pre-university international students in Malaysia
… Qualitative Case Study: Early Childhood Teachers Applying the RTI Framework to At Risk Students to Support the Increase of Academic Scores in Reading and Math
Career development: A math and science social cognitive model
Comparing mental maintenance in students with and without learning specific disorder (deficiencies in math)
An a-maze-ing approach to math
Innovative instructional strategies and improved math learning among grades 2 to 6 students
Does Mathletics, A Supplementary Digital Math Tool, Improve Student Learning and Teaching Methods at Three Private Catholic Schools in Florida?-A Mixed Methods …
Designing assessment using the MATH taxonomy
A user experience case study: two embodied cognition user interface solutions for a math learning game
Coordinating Language Use in Junior High School Math Instruction: Framework for Math Self-Learning Module Evaluation
Math Is Not for Girl? Investigating the Impact of e-Learning Platforms on the Development of Growth Mindsets in Elementary Classrooms
… models for investigating the effects of computer-based learning in math classrooms on science technology engineering and math (STEM) major selection …
A systematic review on overfitting control in shallow and deep neural networks
Machine learning framework for computing the most probable paths of stochastic dynamical systems
From particle swarm optimization to consensus based optimization: stochastic modeling and mean-field limit
Curriculum innovation in times of the COVID-19 pandemic: the thinking-based instruction theory and its application
Bayesian-optimized unsupervised learning approach for structural damage detection
A novel approach for solving rough multi-objective transportation problem: development and prospects
Effects of spherical video-based virtual reality on nursing students’ learning performance in childbirth education training
Using PLS-SEM model to explore the influencing factors of learning satisfaction in blended learning
A critical review on structural health monitoring: definitions, methods, and perspectives
Achievement emotions of female students in mathematical problem-solving situations
Automated COVID-19 detection in chest X-ray images using fine-tuned deep learning architectures
Modeling illegal pedestrian crossing behaviors at unmarked mid-block roadway based on extended decision field theory
Pengaruh Model Pembelajaran Kooperatif Think Pair Share (TPS) Pada Prestasi matematika Siswa Sekolah Menengah Pertama
Landscape and training regimes in deep learning
Opportunity Grounded in Geography: Rural Transfer Students Majoring in Science, Technology, Engineering, and Math.
Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine
What are higher-order networks?
Regularized System Identification: Learning Dynamic Models from Data
Ethnomathematics on the Gringsing batik motifs in Javanese culture
Generating conjectures on fundamental constants with the Ramanujan Machine
Stability analysis of neural networks
Engagement and companion constructs in language learning: Conceptualizing learners’ involvement in the L2 classroom
Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage
Facilitating educationally disadvantaged students’ learning of torque using a design-based activity
Multi-step-ahead crude oil price forecasting based on two-layer decomposition technique and extreme learning machine optimized by the particle swarm optimization …
Closing the gap: Tighter analysis of alternating stochastic gradient methods for bilevel problems
A conceptual model to investigate the role of mobile game applications in education during the COVID-19 pandemic
Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation
Unsupervised learning for magnetization transfer contrast MR fingerprinting: Application to CEST and nuclear Overhauser enhancement imaging
Hierarchical reinforcement learning: A comprehensive survey
Ensemble learning-based structural health monitoring by Mahalanobis distance metrics
Descent-to-delete: Gradient-based methods for machine unlearning
Exploring the factors affecting mobile learning for sustainability in higher education
More intelligent and robust estimation of battery state-of-charge with an improved regularized extreme learning machine
The inverse variance–flatness relation in stochastic gradient descent is critical for finding flat minima
Learning Markov models via low-rank optimization
Application of convolutional neural network in image processing
Natural language generation using deep learning to support MOOC learners
The utilization of mobile-assisted gamification for vocabulary learning: Its efficacy and perceived benefits
True few-shot learning with language models
Automated video interview personality assessments: Reliability, validity, and generalizability investigations.
Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis
Gamification in science education. A systematic review of the literature
Experimental investigation and comparative machine-learning prediction of compressive strength of recycled aggregate concrete
The neural coding framework for learning generative models
A study of fixed point sets based on Z-soft rough covering models
Reinforcement learning-based nonlinear tracking control system design via LDI approach with application to trolley system
Research on intelligent algorithm for alerting vehicle impact based on multi-agent deep reinforcement learning
Psychological Impact of Online Learning during the COVID-19 Pandemic: A Case Study on Vocational Higher Education
Engage in Practice: Hosting Math Competitions in College of Engineering
Data Science and Human Behaviour Interpretation and Transformation
Assessment of cognitive, behavioral, and affective learning outcomes in massive open online courses: A systematic literature review
Six solutions for more reliable infant research
Prediction of the concentrations of PM1, PM2. 5, PM4, and PM10 by using the hybrid dragonfly-SVM algorithm
Distributed formation control for multiple non-holonomic wheeled mobile robots with velocity constraint by using improved data-driven iterative learning
Exploring the Nature of Teachers’ Math-Gender Stereotypes: The Math-Gender Misconception Questionnaire
Student engagement declines in STEM undergraduates during COVID-19–driven remote learning
Early prediction of neoadjuvant chemotherapy response by exploiting a transfer learning approach on breast DCE-MRIs
Comparing the efficacy of early arithmetic instruction based on a learning trajectory and teaching-to-a-target.
A survey of deep meta-learning
Characterizing network dynamics of online hate communities around the COVID-19 pandemic
A reduced order model based on machine learning for numerical analysis: An application to geomechanics
Comparison of students’ use and acceptance of emergency online learning due to COVID-19 in the USA, Mexico, Peru, and Turkey
Design of multi innovation fractional LMS algorithm for parameter estimation of input nonlinear control autoregressive systems
A novel reasoning mechanism for multi-label text classification
Machine learning in construction: From shallow to deep learning
Fast extra gradient methods for smooth structured nonconvex-nonconcave minimax problems
Ranking of hospitals: A new approach comparing organizational learning criteria
Copulae: An overview and recent developments
Educational data mining versus learning analytics: A review of publications from 2015 to 2019
Exploiting heterogeneity in operational neural networks by synaptic plasticity
Design of online intelligent English teaching platform based on artificial intelligence techniques
Stochastic assessment of hard rock pillar stability based on the geological strength index system
Active learning Bayesian support vector regression model for global approximation
Interpretable approximation of high-dimensional data
Restricted Boltzmann machine: Recent advances and mean-field theory
Theoretical investigations: Philosophical foundations of group cognition
Children’s and adults’ math attitudes are differentiated by number type
Fostering students’ workplace communicative competence and collaborative mindset through an inquiry-based learning design
A review of application of machine learning in design, synthesis, and characterization of metal matrix composites: current status and emerging applications
An integrated entropy weight and grey clustering method–based evaluation to improve safety in mines
ICTs and Speed Learning in Special Education: High-Consciousness Training Strategies for High-Capacity Learners through Metacognition Lens
Student’s mathematical connection ability through GeoGebra assisted project-based learning model
Weisfeiler and Lehman go cellular: CW networks
Deep-learning-based guided wave detection for liquid-level state in porcelain bushing type terminal
Numerical solving of the generalized Black-Scholes differential equation using Laguerre neural network
Theory-guided deep-learning for electrical load forecasting (TgDLF) via ensemble long short-term memory
Pure non-local machine-learned density functional theory for electron correlation
The support of the process of training pre-service mathematics teachers by means of cloud services
Sustainable education through e-learning: The case study of ilearn2. 0
Learning to optimize molecular geometries using reinforcement learning
Distributed deep fusion predictor for a multi-sensor system based on causality entropy
Numerical solution of the parametric diffusion equation by deep neural networks
Finite-sample analysis of off-policy natural actor-critic algorithm
Enhanced grasshopper optimization algorithm using elite opposition-based learning for solving real-world engineering problems
Mathematics education students’ experiences during lockdown: Managing collaboration in elearning
When does inequality grow? A seasonal analysis of racial/ethnic disparities in learning from kindergarten through eighth grade
Optimizing functionals on the space of probabilities with input convex neural networks
Task scheduling, resource provisioning, and load balancing on scientific workflows using parallel SARSA reinforcement learning agents and genetic algorithm
Quantum cognition
Neural network approximation of refinable functions
Developing and evaluating language-based machine learning algorithms for inferring applicant personality in video interviews
An empirical review of automated machine learning
Reinforcement learning in robotic applications: a comprehensive survey
Adaptive and universal algorithms for variational inequalities with optimal convergence
Sheaf-theoretic stratification learning from geometric and topological perspectives
Machine learning arrives in archaeology
Deep learning algorithms for cybersecurity applications: A technological and status review
Tree boosting for learning EFT parameters
Reward is enough
Collaborative innovation efficiency: From within cities to between cities—Empirical analysis based on innovative cities in China
Learning loss in vulnerable student populations after the first COVID-19 school closure in the Netherlands
Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models
Stability of sgd: Tightness analysis and improved bounds
Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill
Human representation learning
Software reuse analytics using integrated random forest and gradient boosting machine learning algorithm
Revealing the impact of global heating on North Atlantic circulation using transparent machine learning
The presence and absence of barren plateaus in tensor-network based machine learning
Critical attitude and ability associated with students’ self-confidence and attitude toward “predict-observe-explain” online science inquiry learning
The effects of cooperative learning on trait emotional intelligence and academic achievement of Spanish primary school students
Unsupervised deep learning and analysis of harmonic variation patterns using big data from multiple locations
Kemampuan Berpikir Kritis Siswa Dalam Pembelajaran Matematika Model Discovery Learning
The Use of Generative Learning Model in Improving Students’ Understanding of Mathematical Concepts of Al-Azhar 19 Islamic High School

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