yusuke1997/dblp-id-title huggingface dataset:
Execution Trace Based Feature Engineering To Enable Formative Feedback on Visual, Interactive Programs
Stream Mining in Education? Dealing with Evolution
Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions?
A Meta-Learning Augmented Bidirectional Transformer Model for Automatic Short Answer Grading
Does Deep Knowledge Tracing Model Interactions Among Skills?
A Partition Tree Approach to Combine Techniques to Refine Item to Skills Q-Matrices
CausalEDM: Linking Innovations in Instructional Design and the Complex Behaviors that Underlie Learning Processes and Outcomes
Evaluating and Optimizing Educational Content with Large Language Model Judgments
Using Problem Solving Times and Expert Opinion to Detect Skills
Acting Engaged: Leveraging Player Persona Archetypes for Semi-Supervised Classification of Engagement
Leveraging KOALA for Programming Data Collection: A Half-Day Tutorial for Research Application
Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics
Towards Generalizable Detection of Urgency of Discussion Forum Posts
Navigating the Data-Rich Landscape of Online Learning: Insights and Predictions from ASSISTments
Do students really learn an equal amount independent of whether they get an item correct or wrong?
When and who at risk? Call back at these critical points
Does a Peer Recommender Foster Students' Engagement in MOOCs?
Using Machine Learning Explainability Methods to Personalize Interventions for Students
Students' Use of Support Functions in DBAs: Analysis of NAEP Grade 8 Mathematics Process Data
Soft Clustering of Physics Misconceptions Using a Mixed Membership Model
Learner Differences in Hint Processing
A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization
Towards Real Interpretability of Student Success Prediction Combining Methods of XAI and Social Science
A method for generating features representing the students' degree of anticipation/delay to complete assignments
Grading emails and generating feedback
Recognizing Perceived Task Difficulty from Speech and Pause Histograms
Degeneracy in Student Modeling with Dynamic Bayesian Networks in Intelligent Edu-Games
Using Partial Credit and Response History to Model User Knowledge
Individual Fairness Evaluation for Automated Essay Scoring System
MOOC Learner Behaviors by Country and Culture; an Exploratory Analysis
Mining students' strategies to enable collaborative learning
Rethinking Accessibility: Applications in Educational Data Mining (Canceled)
Can AI help MOOCs?
Differences Between Intelligent Tutor Lessons, and the Choice to Go Off-Task
Inferring the Differential Student Model in a Probabilistic Domain Using Abduction inference in Bayesian networks
Going Deeper with Deep Knowledge Tracing
Investigating Cognitive Strategies in a Mental Rotation Task using Eye Tracking Heat Maps
Domain Independent Assessment of Dialogic Properties of Classroom Discourse
Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation
Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011
Empirically Valid Rules for Ill-Defined Domains
Introduction to Neural Networks and Uses in EDM
Extracting Time-evolving Latent Skills from Examination Time Series
On the Influence on Learning of Student Compliance with Prompts Fostering Self-Regulated Learning
Tracing Knowledge and Engagement in Parallel in an Intelligent Tutoring System
Auto-scoring Student Responses with Images in Mathematics
Use of Time Information in Models behind Adaptive Practice System for Building Fluency in Mathematics
Visual representation of co-authorship with GPT-3: Studying human-machine interaction for effective writing
Can Typical Behaviors Identified in MOOCs be Discovered in Other Courses?
Off Topic Conversation in Expert Tutoring: Waste of Time or Learning Opportunity
Mining Social Deliberation in Online Communication - If You Were Me and I Were You
Challenges on adopting BKT to model student knowledge in multi-context online learning platform
Acquiring Item Difficulty Estimates: a Collaborative Effort of Data and Judgment. Nominee for Best Paper Award
Math Multiple Choice Question Generation via Human-Large Language Model Collaboration
More Data and Better Keywords Imply Better Educational Transcript Classification?
Evaluating a Bayesian Student Model of Decimal Misconceptions
A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing
Automatic assessment of student reading comprehension from short summaries
CHOP: Integrating ChatGPT into EFL Oral Presentation Practice
Massively Scalable EDM with Spark
On generalizability of MOOC models
Improved Automated Essay Scoring using Gaussian Multi-Class SMOTE for Dataset Sampling
Recommending Remedial Readings Using Student's Knowledge state
An Efficient Linearized Optimization Framework for Designing Balanced and Efficient Degree Plans
What is the Source of Social Capital? The Association between Social Network Position and Social Presence in Communities of Inquiry
Improving problem detection in peer assessment through pseudo-labeling using semi-supervised learning
Session-based Course Recommendation Frameworks using Deep Learning
A Predictive Model for Video Lectures Classification
Data-driven Automated Induction of Prerequisite Structure Graphs
Accurate Measurement of Lexical Sophistication in ESL with Reference to Learner Data
Exploring real-time student models based on natural-language tutoring sessions
Joint Topic Modeling and Factor Analysis of Textual Information and Graded Response Data
Sentiment Analysis in Student Experiences of Learning
Visual Exploration of Interactions and Performance with LeMo
Learning Analytics Based on the Number of Synchronous Viewings of Online Teaching Materials in a Face-to-Face Blended Course
Gender Differences in Work-Integrated Learning Assessments
Math Question Solving and MCQ Distractor Generation with attentional GRU Networks
An Analysis of Peer-submitted and Peer-reviewed Answer Rationales in a Web-based Peer Instruction Based Learning Environment
Semantic Textual Similarity of Course Materials at a Distance-Learning University
A Contextual Bandits Framework for Personalized Learning Action Selection
Carnegie Learning's Cognitive Tutor
Data-Driven Curriculum Design: Mining the Web to Make Better Teaching Decisions
Visualization of Differences in Data Measuring Mathematical Skills
Parametric Constraints for Bayesian Knowledge Tracing from First Principles
Enhancing Student Competency Models for Game-Based Learning with a Hybrid Stealth Assessment Framework
Predicting School Failure Using Data Mining
Shedding Light on the Automated Essay Scoring Process
Personalized Feedback for Open-Response Mathematical Questions using Long Short-Term Memory Networks
Using Data Mining in a Recommender System to Search for Learning Objects in Repositories
A generalizable performance evaluation model of driving games via risk-weighted trajectories
MOOC-Rec: Instructional Video Clip Recommendation for MOOC Forum Questions
On Competition for Undergraduate Co-op Placements: A Graph Mining Approach
Comparison of Selection Criteria for Multi-Feature Hierarchical Activity Mining in Open Ended Learning Environments
Factorization Models for Forecasting Student Performance
Semi-supervised Learning Method for Adjusting Biased Item Difficulty Estimates Caused by Nonignorable Missingness under 2PL-IRT Model
Data Analysis Tools and Methods for Improving the Interaction Design in e-Learning
Mining Gap-fill Questions from Tutorial Dialogues
Predicting Learning by Analyzing Eye-Gaze Data of Reading Behavior
Improving Automated Teacher Discourse Classification via Automated Reliability Modeling
Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags
Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments
Modeling Learning Trajectories with Epistemic Network Analysis: A Simulation-based Investigation of a Novel Analytic Method for Epistemic Games
Predicting Engagement in Video Lectures
A Latent Factor Model For Instructor Content Preference Analysis
Applying Sequence Analysis to Understand the Debugging Process of Novice Programmers
Benefits of alternative evaluation methods for Automated Essay Scoring
Can We Get Better Assessment From A Tutoring System Compared to Traditional Paper Testing? Can We Have Our Cake (Better Assessment) and Eat It too (Student Learning During the Test)?
An Automated Test of Motor Skills for Job Selection and Feedback
Mining Student Behavior Patterns in Reading Comprehension Tasks
Learning Paths in a Non-Personalizing e-Learning Environment
Discovering Concept Maps from Textual Sources
Predicting Performance in a Small Private Online Course
Validating Automated Triggers and Notifications @ Scale in Blackboard Learn
The Impact of Semester Gaps on Student Grades
A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance
Proceedings of the 12th International Conference on Educational Data Mining, EDM 2019, Montréal, Canada, July 2-5, 2019
A Nonlinear State Space Model for Identifying At-Risk Students in Open Online Courses
Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning
Linguistic Changes across Different User Roles in MOOCs: What do they tell us?
Mining Students' Interaction Data from a System that Support Learning by Reflection
A comparative analysis of the cognitive levels of Science and Mathematics secondary school board examination questions in India
Modeling Speed-Accuracy Tradeoff in Adaptive System for Practicing Estimation
Uncertainty-preserving deep knowledge tracing with state-space models
Proceedings of the 7th International Conference on Educational Data Mining, EDM 2014, London, UK, July 4-7, 2014
Five Aspirations for Educational Data Mining
How to Visualize Success: Presenting Complex Data in a Writing Strategy Tutor
Promoting Growth Mindset Within Intelligent Tutoring Systems
Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood Profile
Your Model Is Predictive - but Is It Useful? Theoretical and Empirical Considerations of a New Paradigm for Adaptive Tutoring Evaluation
Embedding navigation patterns for student performance prediction
Ethical Educational Data Processing Differences of Students with Special Needs in Post-Soviet Countries
A deep reinforcement learning approach to automatic formative feedback
Student Models for Prior Knowledge Estimation
Educational Technology: What 49 Schools Discovered about Usage when the Data were Uncovered
Visualizing Learning Performance Data and Model Predictions as Objects in a 3D Space
Classroom Analytics for the Teacher, by the Teacher: Building Interpretable Descriptors for Student Posture Analysis in a Physical Classroom
How productive are homework and elective practice? Applying a post hoc modeling of student knowledge in a large, introductory computing course (Full Paper)
Personalization and Incentive Design in E-Learning Systems
Do Learners Know What's Good for Them? Crowdsourcing Subjective Ratings of OERs to Predict Learning Gains
Automated Session-Quality Assessment for Human Tutoring Based on Expert Ratings of Tutoring Success
Automated Assessment of Computer Science Competencies from Student Programs with Gaussian Process Regression
Modeling Math Identity and Math Success through Sentiment Analysis and Linguistic Features
Generalising IRT to Discriminate Between Examinees
Real-time programming exercise feedback in MOOCs
Parent as a Companion for Solving Challenging Math Problems: Insights from Multi-modal Observational Data
Toward Adaptive Unsupervised Dialogue Act Classification in Tutoring by Gender and Self-Efficacy
Modeling Affect in Student-driven Learning Scenarios
Variations in Learning Rate: Student Clustering Based on Systematic Residual Error Patterns Across Practice Opportunities
Automated Identification of Relevant Worked Examples for Programming Problems
Increasing Enrollment by Optimizing Scholarship Allocations Using Machine Learning and Genetic Algorithms
Acquisition of Triples of Knowledge from Lecture Notes: A Natural Langauge Processing Approach
Choosing a Better Moment to Assign Reviewers in Peer Assessment: The Earlier the Better, or the Later the Better?
WISE Ways to Strengthen Inquiry Science Learning
Automated Scoring of Students' Annotations When Learning from Multiple Texts
Towards Modeling Chunks in a Knowledge Tracing Framework for Students' Deep Learning
Building a Student At-Risk Model: An End-to-End Perspective From User to Data Scientist
Bringing student backgrounds online: MOOC user demographics, site usage, and online learning
Application of Hidden Markov Models to quantify the impact of enrollment patterns on student performance
Predicting Student Performance in a Master's Program in Data Science using Admissions Data
Tutorbot Corpus: Evidence of Human-Agent Verbal Alignment in Second Language Learner Dialogues
When Data Exploration and Data Mining meet while Analysing Usage Data of a Course
LLM-supported Thematic Analysis: Evaluating GATOS Workflow on Complex Qualitative Data
Methodological Challenges in the Analysis of MOOC Data for Exploring the Relationship between Discussion Forum Views and Learning Outcomes
Dimensions of Difficulty in Translating Natural Language into First-Order Logic
Learning student program embeddings using abstract execution traces
Towards Suggesting Actionable Interventions for Wheel Spinning Students
Student Knowledge Diagnosis on Response Data via the Model of Sparse Factor Learning
Comparison of Algorithms for Automatically Building Example-Tracing Tutor Models
Comparing Ebook Student Interactions With Test Scores: A Case Study Using CSAwesome (Work in Progress)
Investigating the Relations between Students' Affective States and the Coherence in their Activities in Open-Ended Learning Environments
Linguistic and Gestural Coordination: Do Learners Converge in Collaborative Dialogue?
Your Actions or Your Associates? Predicting Certification and Dropout in MOOCs with Behavioral and Social Features
Modeling study duration considering course enrollments and student diversity
Analyzing Student Spatial Deployment in a Computer Laboratory
Course Enrollment Recommender System
Why Do the Rich Get Richer? A Structural Equation Model to Test How Spatial Skills Affect Learning with Representations
Human-crafted Features in Machine Learning Increase Trust but Risk Over-reliance
Move your lamp post: Recent data reflects learner knowledge better than older data
How Much Mastery is Enough Mastery? The Relationship between Mastery in a Lesson and the Performance on the Subsequent Lesson
Understanding Learners' Opinion about Participation Certificates in Online Courses using Topic Modeling
Using Edit Distance to Mine for Errors in a Natural Language to Logic Translation Corpus
Clustering Student Sequential Trajectories Using Dynamic Time Wrapping
Predicting Task Completion from Rich but Scarce Data
How Hard can this Question be? An Exploratory Analysis of Features Assessing Question Difficulty using LLMs
Improving Stealth Assessment in Game-based Learning with LSTM-based Analytics
Predicting Correctness of Problem Solving from Low-level Log Data in Intelligent Tutoring Systems
Translating Head Motion into Attention - Towards Processing of Student's Body-Language
Studying Factors Influencing the Prediction of Student STEM and Non-STEM Career Choice
Prompting for Free Self-Explanations Promotes Better Code Comprehension (Work In Progress)
Identifying Influence Factors on Students Success by Subgroup Discovery
Spectral Bayesian Knowledge Tracing
Grouping Source Code by Solution Approaches - Improving Feedback in Programming Courses
PIPE: Predicting Logical Programming Errors in Programming Exercises
Ethics and Privacy in EDM
Application of Sentiment and Topic Analysis to Teacher Evaluation Policy in the U.S
Prescribing Deep Attentive Score Prediction Attracts Improved Student Engagement
Student Performance Prediction Using Dynamic Neural Models
The Effect of Variations of Prior on Knowledge Tracing
Accepting or Rejecting Students_ Self-grading in their Final Marks by using Data Mining
Content-based Course Recommender System for Liberal Arts Education
Building Test Recommender Systems for e-Learning Systems
Intelligent Evaluation of Social Knowledge Building Using Conceptual Maps with MLN
Modeling Students' Memory for Application in Adaptive Educational Systems
Estimating the causal effects of Khan Academy Map Accelerator across demographic subgroups
Teacher and Learner Behaviour in an Online EFL Workbook
Learning through Wikipedia and Generative AI Technologies
Analysis of Students' Attempts Trajectories in Learning Programming
Perfect Scores Indicate Good Students !? The Case of One Hundred Percenters in a Math Learning System
Investigating Students' Learning in Online Learning Environment
Early Prediction of Student Performance in a Health Data Science MOOC
Choosing Sample Size for Knowledge Tracing Models
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features
Closing the loop: Automated data-driven cognitive model discoveries lead to improved instruction and learning
Easing the Prediction of Student Dropout for everyone integration AutoML and Explainable Artificial Intelligence
Mining for Knowledge, Not Trouble: GDPR's Impact on Educational Data Mining
Integrating Process and Product Data: The Case of an Automated Writing Evaluation System
Methods to find the number of latent skills
Challenges and Feasibility of Automatic Speech Recognition for Modeling Student Collaborative Discourse in Classrooms
Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming
Grand Challenges for EDM and Related Research Areas
Optimizing Human Learning using Reinforcement Learning
Student Learning Strategies to Predict Success in an Online Adaptive Mathematics Tutoring System
Developing Computational Methods to Measure and Track Learners' Spatial Reasoning in an Open-Ended Simulation
Enhancing a Web-based Language Tutoring System with Learning Analytics
Incorporating Factors Influencing Knowledge Retention into a Student Model
Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA
On Convergence of Cognitive and Non-cognitive Behavior in Collaborative Activity
Robust Predictive Models on MOOCs : Transferring Knowledge across Courses
Identifying High-Level Student Behavior Using Sequence-based Motif Discovery
Investigating the Effects of Off-Task Personalization on System Performance and Attitudes within a Game-Based Environment
Is It Fair? Automated Open Response Grading
Estimating the Intelligent Tutor Effects on Specific Posttest Problems
Do Students Who See More Concepts in an ITS Learn More?
Hao Fa Yin: Developing Automated Audio Assessment Tools for a Chinese Language Course
Assessing the Roles of Student Engagement and Academic Emotions within Middle School Computer-Based Learning in College-Going Pathways
Early Detection of At-risk Students based on Knowledge Distillation RNN Models
Mining Reading Comprehension Within Educational Objective Frameworks
An Investigation of Psychometric Measures for Modelling Academic Performance in Tertiary Education
Estimation of prerequisite skills model from large scale assessment data using semantic data mining
Evaluating Student Models
Workshop and Tutorial Proceedings of the 9th International Conference on Educational Data Mining, Raleigh, NC, USA, June 29, 2016
Beyond Prediction: Towards Automatic Intervention in MOOC Student Stop-out
Beyond Tutor Logs: Utilizing sensor data for measuring student behavior
Understanding Student Procrastination via Mixture Models
The Guided Team-Partitioning Problem: Definition, Complexity, and Algorithm
Academic Performance Estimation with Attention-based Graph Convolutional Networks
Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study
Using the Hint Factory to Compare Model-Based Tutoring Systems
Affect, Support and Personal Factors: Multimodal Causal Models of One-on-one Coaching
Individualizing Bayesian Knowledge Tracing. Are Skill Parameters More Important Than Student Parameters?
Discovering Theoretically Grounded Predictors of Shallow vs. Deep- level Learning
Learning to Represent Student Knowledge on Programming Exercises Using Deep Learning
Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data
Using community-based problems to increase motivation in a data science virtual internship
Examining Learner Control in a Structured Inquiry Cycle Using Process Mining
Multimodal Assessment of Classroom Discourse Quality: A Text-Centered Attention-Based Multi-Task Learning Approach
Exploring Causal Mechanisms in a Randomized Effectiveness Trial of the Cognitive Tutor Algebra I Program
Dynamic Re-Composition of Learning Groups Using PSO-Based Algorithms
The Impact of Small Learning Group Composition on Drop-Out Rate and Learning Performance in a MOOC
Evaluating Fairness and Generalizability in Models Predicting On-Time Graduation from College Applications
Student Strategy Prediction using a Neuro-Symbolic Approach
Generating Semantic Concept Map for MOOCs
Next-Term Student Performance Prediction: A Recommender Systems Approach
Towards automated content analysis of feedback: A multi-language study
Efficient Feature Embeddings for Student Classification with Variational Auto-encoders
A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions
Quantifying How Students Use an Online Learning System: A Focus on Transitions and Performance
Dynamic knowledge tracing through data driven recency weights
How employment constrains participation in MOOCs?
Zone out no more: Mitigating mind wandering during computerized reading
Bridging the Data Gap: Using LLMs to Augment Datasets for Text Classification
Investigating Student Interest in a Minecraft Game-Based Learning Environment: A Changepoint Detection Analysis
A Bias-Aware Deep Learning Framework for Hierarchical Microcredential Classification
Student Emotion, Co-occurrence, and Dropout in a MOOC Context
The Impact of Cognitive and Non-Cognitive Text-Based Factors on Solving Mathematics Story Problems
How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining Community
Multimodal Affect Recognition for Adaptive Intelligent Tutoring Systems
Interaction Network Estimation: Predicting Problem-Solving Diversity in Interactive Environments
Exploring Stealth Assessment via Deep Learning in an Open-Ended Virtual Environment
Generalizing Expert Misconception Diagnoses Through Common Wrong Answer Embedding
E-learning Preparedness: A Key Consideration to Promote Fair Learning Analytics Development in Higher Education
The Composition Effect: Conjuntive or Compensatory? An Analysis of Multi-Skill Math Questions in ITS
Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning
Analyzing University Data for Determining Student Profiles and Predicting Performance
Building an Intelligent PAL from the Tutor.com Session Database Phase 1: Data Mining
Algorithmic unfairness mitigation in student models: When fairer methods lead to unintended results
Goodness of Fit of Skills Assessment Approaches: Insights from Patterns of Real vs. Synthetic Data Sets
Analyzing Student Action Sequences and Affect While Playing Physics Playground
Intelligent Instructional Hand Offs
Pick the Moment: Identifying Critical Pedagogical Decisions Using Long-Short Term Rewards
LOOL: Towards Personalization with Flexible \& Robust Estimation of Heterogeneous Treatment Effects
Identifying Profiles of Collaborative Problem Solvers in an Online Electronics Environment
Predicting Response Time of Questions Using Linear Mixed-effects Model
Preserving the integrity of study behaviour in online retrieval practice using quantified learner dynamics
9th Educational Data Mining in Computer Science Education (CSEDM) Workshop
From Solution Synthesis to Student Attempt Synthesis for Block-Based Visual Programming Tasks