yusuke1997/dblp-id-title huggingface dataset:
Machine Learning Based Decision Support System for Categorizing MOOC Discussion Forum Posts
Natural Language-Driven Teacher Gesture Recognition
Automated Assessment for Scientific Explanations in On-line Science Inquiry
Personal Knowledge/Learning Graph
Multimodal, Multi-Class Bias Mitigation for Predicting Speaker Confidence
Next-Term Grade Prediction: A Machine Learning Approach
Discovering Gender-Specific Knowledge from Finnish Basic Education using PISA Scale Indices
Automatic Rating of User-Generated Math Solutions
Recommendation System for Engineering Programs Candidates
Choosing to Interact: Exploring the Relationship Between Learner Personality, Attitudes, and Tutorial Dialogue Participation
Development of a Trajectory Model for Visualizing Teacher ICT Usage Based on Event Segmentation Data
How many friends can you make in a week?: evolving social relationships in MOOCs over time
Categorizing Students' Response Patterns using the Concept of Fractal Dimension
Investigating the effect of Automated Feedback on learning behavior in MOOCs for programming
SimGrade: Using Code Similarity Measures for More Accurate Human Grading
The Role of Initial Input in Reputation Systems to Generate Accurate Aggregated Grades from Peer Assessment
A Comparison of Automated Scale Short Form Selection Strategies
Analyzing Student Procrastination in MOOCs: A Multivariate Hawkes Approach
Automatic Assessment of the Design Quality of Python Programs with Personalized Feedback
Leveraging First Response Time into the Knowledge Tracing Model
Learner Affect Through the Looking Glass: Characterization and Detection of Confusion in Online Courses
Cost-Effective, Actionable Engagement Detection at Scale
Measuring Similarity between Manual Course Concepts and ChatGPT-generated Course Concepts
Linguistic Features Predicting Math Word Problem Readability Among Less-Skilled Readers
Tailored analysis of dropout in UBA distance postgraduate courses: first results
Language to Completion: Success in an Educational Data Mining Massive Open Online Class
A promising classification method for predicting distance students' performance
Toward Integrating Cognitive Tutor Interaction Data with Human Tutoring Text Dialogue Data in LearnSphere
Mining Assessment and Teaching Evaluation Data of Regular, Advanced Stream Students
How High School, College, and Online Students Differentially Engage with an Interactive Digital Textbook
Comparing Expert and Metric-Based Assessments of Association Rule Interestingness
Proceedings of 8th Educational Data Mining in Computer Science Education Workshop (CSEDM 2024) co-located with the 17th Educational Data Mining Conference (EDM 2024), Atlanta, GA, USA, July 14, 2024
A Self Attentive model for Knowledge Tracing
Proceedings of the 17th International Conference on Educational Data Mining, EDM 2024, Atlanta, Georgia, USA, July 14-17, 2024
Comparison of methods to trace multiple subskills: Is LR-DBN best?
Now We're Talking: Leveraging the Power of Natural Language Processing to Inform ITS Development
Is Students' Activity in LMS Persistent?
Variational Item Response Theory: Fast, Accurate, and Expressive
FATED 2022: Fairness, Accountability, and Transparency in Educational Data
From Reaction to Anticipation: Predicting Future Affect
Integrating Knowledge Gained From Data Mining With Pedagogical Knowledge
Skills Taught vs Skills Sought: Using Skills Analytics to Identify the Gaps between Curriculum and Job Markets
A Variant of Performance Factors Analysis Model for Categorization
Analysis of stopping criteria for Bayesian Adaptive Mastery Assessment
Insta-Reviewer: A Data-Driven Approach for Generating Instant Feedback on Students' Project Reports
Logistic Regression in a Dynamic Bayes Net Models Multiple Subskills Better!
Using Webcam-Based Eye Tracking during a Learning Task to Understand Neurodivergence
Using Markov Matrix to Analyze Students' Strategies for Solving Parsons Puzzles
Different parameters - same prediction: An analysis of learning curves
Enhancing Student Motivation and Learning Within Adaptive Tutors
Proceedings of the 15th International Conference on Educational Data Mining, EDM 2022, Durham, UK, July 24-27, 2022
Extending Adaptive Spacing Heuristics to MultiSkill Items
Supporting Theory Building in Design-Based Research through Large Scale Data-Based Models
Student Perception on the Effectiveness of On-Demand Assistance in Online Learning Platforms
Modeling Interactions Across Skills: A Method to Construct and Compare Models Predicting the Existence of Skill Relationships
Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets
Analyzing Parsons Puzzle Solutions using Modified Levenshtein's Algorithm
Generalizing Predictive Models of Reading Ability in Adaptive Mathematics Software
Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021, virtual, June 29 - July 2, 2021
Interaction Networks: Generating High Level Hints Based on Network Community Clusterings
Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task Learning
An Empirical Research on Identifiability and Q-matrix Design for DINA model
Higher Contributions Correlate with Higher Learning Gains
Using AI, ML and Sentiment Analysis to Increase Diversity and Equity in Technology Training and Careers
Social Network and Self-representation in Megathread: Group Formation in a Data Science Crowdsourcing Community
Recommendation System of Mobile Language Learning Applications: Similarity versus Diversity in Learner Preference
ATC Framework: A fully Automatic Cognitive Tracing Model for Student and Educational Contents
Grade Prediction via Prior Grades and Text Mining on Course Descriptions: Course Outlines and Intended Learning Outcomes
Assessing Student Contributions in Wiki-based Collaborative Writing System
Automatic Peer Tutor Matching: Data-Driven Methods to Enable New Opportunities for Help
Is there Method in Your Mistakes? Capturing Error Contexts by Graph Mining for Targeted Feedback
Principals' use of data analytics in Finnish schools
"Can we reach agreement?": A context- and semantic-based clustering approach with semi-supervised text-feature extraction for finding disagreement in peer-assessment formative feedback
A Multimodal Language Learning System for Chinese Character Using Foundation Model
Peer Review Data Warehouse: Insights From Different Systems
Multi-Stage Speaker Diarization for Noisy Classrooms
Differential Pattern Mining of Students' Handwritten Coursework
Using Keystroke Analytics to Understand Cognitive Processes during Writing
KC-Finder: Automated Knowledge Component Discovery for Programming Problems
Fit-to-Model Statistics for Evaluating Quality of Bayesian Student Ability Estimation
Linguistic Profiles of Students Interacting with Conversation-Based Assessment Systems
Uncovering the Evolution of Topics about AI Painting: Dynamic Topic Modeling of 180k Discourse Data in an Online Community
Using Inverse Planning for Personalized Feedback
Test-size Reduction for Concept Estimation
No Meaning Left Unlearned: Predicting Learners' Knowledge of Atypical Meanings of Words from Vocabulary Tests for Their Typical Meanings
Towards Modeling Forgetting and Relearning in ITS: Preliminary Analysis of ARRS Data
Ensemble Machine Learning System for Student AcademicPerformance Prediction
Modeling the Influence of Format and Depth during Effortful Retrieval Practice
How University Entrants are Choosing Their Department? Mining of University Admission Process with FCA Taxonomies
Detecting Wheel Spinning and Productive Persistence in Educational Games
Course Concepts: How Readable Are They for ESL Learners?
Help Me Read! Expanding Students' Reading with Wikipedia Articles
Understanding Student's Reviewing and Reflection Behaviors Using Web-based Programming Grading Assistant
On Assessing the Faithfulness of LLM-generated Feedback on Student Assignments
What and When do Students Learn? Fully Data-Driven Joint Estimation of Cognitive and Student Models
Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Train-ing Sequences on Category Learning
Using Markov Transition Matrix to Analyze Parsons Puzzle Solutions (Short Paper)
srcML-DKT: Enhancing Deep Knowledge Tracing with Robust Code Representations from srcML
Identifying Collaborative Learning States Using Unsupervised Machine Learning on Eye-Tracking, Physiological and Motion Sensor Data
Investigating Usage of Resources in LMS with Specific Association Rules
Affect detection in home-based educational software for young children
Meta-Reasoning Algorithm for Improving Analysis of Student Interactions with Learning Objects using Supervised Learning
Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions
Exploring the relationship between course structure and etext usage in blended and open online courses
Incorporating REDCap for Data Collection of K-12 CS Education Research
Integrating an Advanced Classifier in WEKA
The Third Workshop of the Learner Data Institute: Big Data, Research Challenges, \& Science Convergence in Educational Data Science
A Data-Driven Framework of Modeling Skill Combinations for Deeper Knowledge Tracing
UPreG: An Unsupervised approach for building the Concept Prerequisite Graph
Designing Interactive and Personalized Concept Mapping Learning Environments
The Apprentice Learner architecture: Closing the loop between learning theory and educational data
An Evaluation of a Placement Assessment for an Adaptive Learning System
A prediction model that uses the sequence of attempts and hints to better predict knowledge: "Better to attempt the problem first, rather than ask for a hint"
Using Case-Based Reasoning to Automatically Generate High-Quality Feedback for Programming Exercises
The Right To Be Forgotten and Educational Data Mining: Challenges and Paths Forward
Combining Cognitive and Generative AI for Self-Explanation in Interactive AI Agents
Toward Better Training in Peer Assessment: Does Calibration Help?
Measuring Similarity of Educational Items Using Data on Learners' Performance
Mixed Data Sampling in Learning Analytics
Tutorial: Principal Stratification for EDM Experiments
The Impact on Individualizing Student Models on Necessary Practice Opportunities
How Does Student Behaviour Change Approaching Dropout? A Study of Gender and School Year Differences
MOOC Leaner Motivation and Learning Pattern Discovery
Browsing-Pattern Mining from e-Book Logs with Non-negative Matrix Factorization
The Learner Data Institute - Conceptualization: A Progress Report
Sequence Matters, But How Do I Discover How? Towards a Workflow for Evaluating Activity Sequences from Data
Does Self-Discipline impact students' knowledge and learning?
Towards Modeling Learner Performance with Large Language Models
Neuro-Symbolic Models: A Scalable, Explainable Framework for Strategy Discovery from Big Edu-Data
Math Operation Embeddings for Open-ended Solution Analysis and Feedback
Building Models to Predict Hint-or-Attempt Actions of Students
Mining Teaching Behaviors from Pedagogical Surveys
Tracking Online Reading of College Students
Microgenetic Designs for Educational Data Mining Research: Poster
SimPairing - Exploring Dynamic Pairing Policies through Historical Data Simulation and User-centered Research
Towards EDM Framework for Personalization of Information Services in RPM Systems
Modeling Student Learning: Binary or Continuous Skill?
Predictive Sequential Pattern Mining via Interpretable Convolutional Neural Networks
Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming
Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers
EduRank: A Collaborative Filtering Approach to Personalization in E-learning
Improving Course Recommendation Systems with Explainable AI: LLM-Based Frameworks and Evaluations
FlexEval: a customizable tool for chatbot performance evaluation and dialogue analysis
Peer Influence on Attrition in Massively Open Online Courses
Extracting Causal Relations in Deep Knowledge Tracing
Exploring Common Trends in Online Educational Experiments
Learning Behavior Characterization with Multi-Feature, Hierarchical Activity Sequences
Intrinsically Interpretable Artificial Neural Networks for Learner Modeling
Learning to Teach like a Bandit
Detecting Symptoms of Low Performance Using Production Rules
Combination of statistical and semantic data sources for the improvement of software engineering courses (Vision Paper)
Dynamic Knowledge Embedding and Tracing
Generating Competitive Distractors from Student Error Data
Analysing Frequent Sequential Patterns of Collaborative Learning Activity Around an Interactive Tabletop. Nominee for Best Paper Award
Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback
Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments
Toward Improving Student Model Estimates through Assistance Scores in Principle and in Practice
Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study
Standard error considerations on AFM parameters
Using Item Response Theory to Refine Knowledge Tracing
Crowd-sourcing and Automatic Generation of Semantic Information in Blended-Learning Environments
Return of the Student: Predicting Re-Engagement in Mobile Learning
Phone Use While Programming
An Open Repository and analysis tools for fine-grained, longitudinal learner data
Course Recommender Systems with Statistical Confidence
Equity and Fairness of Bayesian Knowledge Tracing
The Impact of Data-driven Positive Programming Feedback: When it Helps, What Happens when it Goes Wrong, and How Students Respond
Using Text Replay Tagging to Produce Detectors of Systematic Experimentation Behavior Patterns
Incorporating Task-specific Features into Deep Models to Classify Argument Components
Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference
Deep learning for sentence clustering in essay grading support
Coping with ADHD in College: Topic Modeling and Sentiment Analysis of Online Peer Discussions on Reddit
Math in Motion: Analyzing Real-Time Student Collaboration in Computer-Supported Learning Environments
Estimating the benefits of student model improvements on a substantive scale
Prediction of Academic Achievement Based on Digital Campus
Online Curriculum Planning Behavior of Teachers
Discovering and describing types of mathematical errors
Intelligent Argument Grading System forStudent-produced Argument Diagrams
Semi-Automatic Detection of Teacher Questions from Human-Transcripts of Audio in Live Classrooms
Predicting Graduate-level Performance from Undergraduate Achievements
Reengineering the Feature Distillation Process: A case study in detection of Gaming the System
Natural Language Processing for Open Ended Questions in Mathematics within Intelligent Tutoring Systems
Interventions During Student Multimodal Learning Activities: which, and why?
Early Prediction of Student Self-Regulation Strategies by Combining Multiple Models
The Nature of Achievement Goal Motivation Profiles: Exploring Situational Motivation in An Algebra-Focused Intelligent Tutoring System
Document Segmentation for Labeling with Academic Learning Objectives
Items, Skills, and Transfer Models: Which Really Matters for Student Modeling?
Hierarchical Cluster Analysis Heatmaps and Pattern Analysis: An Approach for Visualizing Learning Management System Interaction Data
Analysis of Factors Influencing User Contribution and Predicting Involvement of Users on Stack Overflow
Automatic identification of questions in MOOC forums and association with self-regulated learning
Improving Generative AI Student Feedback: Direct Preference Optimization with Teachers in the Loop
Metrics for Evaluation of Student Models
CurriM: Curriculum Mining
Exploring the Implementation of NLP Topic Modeling for Understanding the Dynamics of Informal Learning in an AI Painting Community
Class Association Rules Mining from Students' Test Data
Grades are not Normal: Improving Exam Score Models Using the Logit-Normal Distribution
Adapting Bayesian Knowledge Tracing to a Massive Open Online Course in edX
Visualization of Solution Processes to Reach the Correct Answer in Online Math Tests
A Review of Student Churn in the Light of Theories on Business Relationships
Methods for Language Learning Assessment at Scale: Duolingo Case Study
seqClustR: An R Package for Sequence Clustering (Short Paper)
Predicting MOOC performance with Week 1 Behavior
Using Edit Distance Trails to Analyze Path Solutions of Parsons Puzzles
Student Teamwork on Programming Projects. What can GitHub logs show us?
Tell Me More: Digital Eyes to the Physical World for Early Childhood Learning
Heterogeneous Treatment Effects of Learning Analytics Dashboards: Do All Learners Benefit Equally?
Automatically Recognizing Facial Expression: Predicting Engagement and Frustration
Toward Revision-Sensitive Feedback in Automated Writing Evaluation
Investigating the Transitions between Learning and Non-learning Activities as Students Learn Online
Using Logistic Regression to Trace Multiple Sub-skills in a Dynamic Bayes Net
Guiding Students Towards Frequent High-Utility Paths in an Ill-Defined Domain
Exploring Problem-Solving Behavior in an Optics Game
Building Automated Detectors of Gameplay Strategies to Measure Implicit Science Learning
To speak or not to speak, and what to speak, when doing task actions collaboratively
Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), Held Virtually, 2021
Exploring Exploration: Inquiries into Exploration Behavior in Complex Problem Solving Assessment
Academic Integrity in Online Education during the COVID-19 Pandemic: a Social Media Mining Study
Empowering Predictions of the Social Determinants of Mental Health through Large Language Model Augmentation in Students' Lived Experiential Essays
Semantic Similarity Graphs of Mathematics Word Problems: Can Terminology Detection Help?
Integrating Deep Learning into An Automated Feedback Generation System for Automated Essay Scoring
Using Student Logs to Build Bayesian Models of Student Knowledge and Skills
Exploring homophily in demographics and academic performance using spatial-temporal student networks
Leveraging Large Language Models for Next-Generation Educational Technologies
Improving Models of Peer Grading in SPOC
Identifying and Visualizing the Similarities Between Course Content at a Learning Object, Module and Program Level
Multi-Agent Collaborative Framework For Math Problem Generation
Zero-shot Learning of Hint Policy via Reinforcement Learning and Program Synthesis
Similarity Functions for Collaborative Master Recommendations
Modeling the Effects of Students' Interactions with Immersive Simulations using Markov Switching Systems
Data Reduction Methods Applied to Understanding Complex Learning Hypotheses
Closing the Loop with Quantitative Cognitive Task Analysis
Using Large Language Models to Detect Self-Regulated Learning in Think-Aloud Protocols
Course Content Analysis: An Initiative Step toward Learning Object Recommendation Systems for MOOC Learners
More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code
Estimating Individual Treatment Effect from Educational Studies with Residual Counterfactual Networks
Mining Rare Association Rules from e-Learning Data
Unsupervised Approach for Modeling Content Structures of MOOCs
What You Say is Relevant to How You Make Friends: Measuring the Effect of Content on Social Connection
Modelling End-of-Session Actions in Educational Systems
Automatic Short Math Answer Grading via In-context Meta-learning
Forum Thread Recommendation for Massive Open Online Courses
A Preliminary Analysis of Students' Help Requests with an LLM-powered Chatbot when Completing CS1 Assignments
Predicting Student Performance Based on Online Study Habits: A Study of Blended Courses
Predicting Student Performance Using Teacher Observation Reports
Plagiarism Detection Using Keystroke Logs
Good Communities and Bad Communities: Does Membership Affect Performance?
Learning the Creative Potential of Students by Mining a Word Association Task
A Preliminary Investigation of Hierarchical Hidden Markov Models for Tutorial Planning
The Hospital Classrooms Environments Challenge
Techniques for Automatically Evaluating Machine-Generated Questions
An Extended Learner Modeling Method to Assess Students' Learning Behaviors
Students at Risk: Detection and Remediation
What can we learn from college students' network transactions? Constructing useful features for student success prediction
Clustering Students Based on Their Prior Knowledge
Educational Data Mining and Personalized Support in Online Introductory Physics Courses
Application of the Dynamic Time Warping Distance for the Student Drop-out Prediction on Time Series Data
Accurate Modelling of Language Learning Tasks and Students Using Representations of Grammatical Proficiency
Sex-Related Behavioral Differences in Online Math Classes: An Epistemic Network Analysis
Iterative Feature Engineering Through Text Replays of Model Error
Scaffolding AI Literacy Through Student-AI Collaboration in Chatbot Development
Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades
Sensor-based Data Fusion for Multimodal Affect Detection in Game-based Learning Environments
The Effect of Mutual Gaze Perception on Students' Verbal Coordination
Admitting you have a problem is the first step: Modeling when and why students seek help in programming assignments
Complex Conversations: LLM vs. Knowledge Engineering Conversation-based Assessment
Modeling Wheel-spinning and Productive Persistence in Skill Builders
Learning a Policy Primes Quality Control: Towards Evidence-Based Automation of Learning Engineering
Data-Driven Approach Towards a Personalized Curriculum
Concept Drift Detection for Knowledge Tracing
Gaze-based Detection of Mind Wandering during Lecture Viewing
Discrimination-Aware Classifiers for Student Performance Prediction
Learning from Non-Assessed Resources: Deep Multi-Type Knowledge Tracing
Fairness of Bayesian Knowledge Tracing for Math Learners of Different Reading Ability
Transferring an existing gaming detection model to different system using semi-supervised approach
Strategic Game Moves Mediate Implicit Science Learning
The Future of Practical Applications of EDM at Scale
De-Identifying Student Personally Identifying Information with GPT-4
Convolutional Neural Network for Automatic Detection of Sociomoral Reasoning Level
Can Engagement be Compared? Measuring Academic Engagement for Comparison
Weighted Log-odds-ratio, Informative Dirichlet Prior Method to Enhance Peer Review Feedback for Low- and High-scoring College Students in a Required First-year Writing Program
Investigating the Impact of Slipping Parameters on Additive Factors Model Parameter Estimates
Toward Data-Driven Design of Educational Courses: A Feasibility Study
E-learning Web Miner: A Data Mining Application to Help Instructors Involved in Virtual Courses
Assessing Reviewer's Performance Based on Mining Problem Localization in Peer-Review Data
Gaining Insights on Student Course Selection in Higher Education with Community Detection
Toward a Real-time (Day) Dreamcatcher: Detecting Mind Wandering Episodes During Online Reading
Concept-Aware Deep Knowledge Tracing and Exercise Recommendation in an Online Learning System
Integrating a Web-based ITS with DM tools for Providing Learning Path Optimization and Visual Analytics
A Paraphrase Identification Approach in Paragraph length texts
"Hello, [REDACTED]": Protecting Student Privacy in Analyses of Online Discussion Forums
Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning
Linking Language to Math Success in a Blended Course
Using the Open Science Framework to promote Open Science in Education Research