yusuke1997/dblp-id-title huggingface dataset:
A Dynamical System Model of Microgenetic Changes in Performance, Efficacy, Strategy Use and Value during Vocabulary Learning
Measuring Students' Programming Skill via Online Practice
Modeling Student Performance and Disengagement Using Decomposition of Response Time Data
Using a Glicko-based Algorithm to Measure In-Course Learning
Discovering the Structure of Mathematical Problem Solving
Measuring Problem Solving Skills in Plants vs. Zombies 2
Monitoring Learners' Proficiency: Weight Adaptation in the Elo Rating System
Going Online: A simulated student approach for evaluating knowledge tracing in the context of mastery learning
A Tool for Speech Act Classification Using Interactive Machine Learning
Towards Including Instructor Features in Student Grade Prediction
Using Topic Models to Bridge Coding Schemes of Differing Granularity
Intelligent Tutor Recommender System for On-Line Educational Environments
Re-designing the Structure of Online Courses to Empower Educational Data Mining
Web as a textbook: Curating Targeted Learning Paths through the Heterogeneous Learning Resources on the Web
Mining coherent evolution patterns in education through biclustering
Interactive Workshop: Multimodal, Multiparty Learning Analytics (MMLA)
Modeling Knowledge Acquisition from Multiple Learning Resource Types
An Exploratory Analysis of Students' Problem-Solving Strategies in the Water Cycle Game
Generalizability of Face-Based Mind Wandering Detection Across Task Contexts
Predicting Group Programming Project Performance using SVN Activity Traces
Why data standards are critical for EDM and AIED
Making Course Recommendation Explainable: A Knowledge Entity-Aware Model using Deep Learning
Classification via clustering for predicting final marks starting from the student participation in Forums
8th Educational Data Mining in Computer Science Education (CSEDM) Workshop
Evaluating Multi-Knowledge Component Interpretability of Deep Knowledge Tracing Models in Programming
Modeling Exercise Relationships in E-Learning: A Unified Approach
Alternating Recursive Method for Q-matrix Learning
Analysing and Refining Pilot Training
Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), Virtual Event, July 10, 2020
Improving Long-Term Retention Level in an Environment of Personalized Expanding Intervals
Mining and Identifying Relationships Among Sequential Patterns in Multi-Feature, Hierarchical Learning Activity Data
Demonstration of a Moodle student monitoring web application
Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process
Using Graph-based Modelling to explore changes in students' affective states during exploratory learning tasks
Predicting Short- and Long-Term Vocabulary Learning via Semantic Features of Partial Word Knowledge
Back to the future: a non-automated method for constructing transfer models
You are your words: Modeling Students' Vocabulary Knowledge with Natural Language Processing Techniques
Mining the Web to Leverage Collective Intelligence and Learn Student Preferences
Automated Speech Act Categorization of Chat Utterances in Virtual Internships
Grade Prediction Based on Cumulative Knowledge and Co-taken Courses
Preliminary Results On Dialogue Act and Subact Classification in Chat-based Online Tutorial Dialogues
Predicting Executive Functions in a Learning Game: Accuracy and Reaction Time
Analyzing the relative learning benefits of completing required activities and optional readings in online courses
Stealth Assessment in Games: Why, What, and How
A Longitudinal Study on Student Persistence in Programming Self-assessments
DeepIRT with a Hypernetwork to Optimize the Degree of Forgetting of Past Data
Unsupervised Discovery of Student Strategies
Design of an Elective Course Recommendation System for University Environment
Analyzing Student Strategies In Blended Courses Using Clickstream Data
Automatic Concept Relationships Discovery for an Adaptive E-course
Applying DebiasEd: A Package for Mitigating Unfairness in Educational Data
Who Do You Think I Am? Modeling Individual Differences for More Adaptive and Effective Instruction
Which Hammer should I Use? A Systematic Evaluation of Approaches for Classifying Educational Forum Posts
Examining the Algorithmic Fairness in Predicting High School Dropouts
The Eyes Have It: Gaze-based Detection of Mind Wandering during Learning with an Intelligent Tutoring System
Discovering the Relationship between Student Effort and Ability for Predicting the Performance of Technology-Assisted Learning in a Mathematics After-School Program
Graph-based Modelling of Students' Interaction Data from Exploratory Learning Environments
On the Practicality of Differential Privacy for Knowledge Tracing
Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach
Towards the understanding of cultural differences in between gamification preferences: A data-driven comparison between the US and Brazil
Identifying Critical Pedagogical Decisions through Adversarial Deep Reinforcement Learning
Identifying relevant user behavior and predicting learning and persistence in an ITS-based afterschool program
A Response Time Model For Bottom-Out Hints as Worked Examples
Analyzing Large Language Models for Classroom Discussion Assessment
Measuring students' thermal comfort and its impact on learning
Corpus Methods and Textual Visualization to Enhance Learning in Core Writing Courses
Workshop proposal: deep learning for educational data mining
BOTS: Selecting Next-Steps from Player Traces in a Puzzle Game
YouEDU: Addressing Confusion in MOOC Discussion Forums by Recommending Instructional Video Clips
Detection of Learners with a Performance Inconsistent with Their Effort
Personalization of Learning Paths in Online Communities of Creators
Building Predictive Models for CS Students Help-Seeking Behaviors with Coding Log Data
Exploring Collaboration Using Motion Sensors and Multi-Modal Learning Analytics
Pacing through MOOCs: Course Design or Teaching Effect?
RiPLE: Recommendation in Peer-Learning Environments Based on Knowledge Gaps and Interests
On the Faithfulness of Simulated Student Performance Data
Understanding Learners' Alternative Conceptions through Interaction Patterns During analogical reasoning
Optimizing Representations and Policies for Question Sequencing using Reinforcement Learning
Reducing the Knowledge Tracing Space
Early Prediction of Museum Visitor Engagement with Multimodal Adversarial Domain Adaptation
Analyzing the behavior of a teacher network in a Web 2.0 environment
Educational Data Mining in Writing and Literacy Instruction
Predicting and Understanding Success in an Innovation-Based Learning Course
Hints: You Can't Have Just One
A page jump recommendation model and result interpretation based on structured annotation methods
Towards the Prediction of Semantic Complexity Based on Concept Graphs
Modeling Students' Activity in Online Discussion Forums: A Strategy based on Time Series and Agglomerative Hierarchical Clustering
What Can Closed Sets of Students and Their Marks Say?
Toward Better Grade Prediction via A2GP - An Academic Achievement Inspired Predictive Model
Tuned Models of Peer Assessment in MOOCs
Assessing the Quality of Automatic Summarization for Peer Review in Education
Evaluating Gaming Detector Model Robustness Over Time
An Approach of Collaboration Analytics in MOOCs Using Social Network Analysis and Influence Diagram
Analyzing Student Inquiry Data Using Process Discovery and Sequence Classification
Studying Affect Dynamics and Chronometry Using Sensor-Free Detectors
Choosing to Learn: Achievement Goals, Immersion, and Competition in Non-Educational Gaming Contexts
Students Activity Visualization Tool
Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles
Causal Inference in Educational Data Mining
A Java Desktop Tool for Mining Moodle Data
A Data Mining Approach for Detecting Collusion in Unproctored Online Exams
Data Mining for Generating Hints in a Python Tutor
Improving Automated Scoring of Student Open Responses in Mathematics
Student Use of Scaffolded Inquiry Simulations in Middle School Science
Creative Feedback: a Manifesto for Social Learning
Analyzing the Equity of the Brazilian National High School Exam by Validating the Item Response Theory's Invariance
Inferring learners' knowledge from observed actions
Log mining for course recommendation in limited information scenarios
La Mort du Chercheur: How well do students' subjective understandings of affective representations used in self- report align with one another's, and researchers'?
Prediction of Student Success Using Enrollment Data
Stress Analytics in Education
Analyzing Team Cognition and Combined Efficacy In Makerspaces Using Multimodal Data
Tool Usage and Efficiency in an Online Test
Data mining techniques for design of ITS student models
Testing the Multimedia Principle in the Real World: A Comparison of Video vs. Text Feedback in Authentic Middle School Math Assignments
Making the Grade: How Learner Engagement Changes After Passing a Course
The Problem Solving Genome: Analyzing Sequential Patterns of Student Work with Parameterized Exercises
Considering the Influence of Prerequisite Performance on Wheel Spinning
Investigating Multimodal Predictors of Peer Satisfaction for Collaborative Coding in Middle School
Improving Student Performance Using Nudge Analytics
An Exploration of Data-Driven Hint Generation in an Open-Ended Programming Problem
Generalisable Methods for Early Prediction in Interactive Simulations for Education
Format-Aware Item Response Theory for Predicting Vocabulary Proficiency
Graph Grammar Induction via Evolutionary Computation
Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring
Feedback and Self-Regulated Learning in Science Reading
The Opportunities and Limitations of Scaling Up Sensor-Free Affect Detection
Automatic Classification of Learning Objectives Based on Bloom's Taxonomy
Exploring the Link Between Motivations and Gaming
Mining MOOC Lecture Transcripts to Construct Concept Dependency Graphs
Meta-learning for predicting the best vote aggregation method: Case study in collaborative searching of LOs
Designing an Intelligent Tutoring System Across Multiple Classes
How to Classify Tutorial Dialogue? Comparing Feature Vectors vs. Sequences
Mutual spontaneous aid between students in distance learning and the role of the feeling of social belonging to a training group
Boosted Decision Tree for Q-matrix Refinement
Mining the Impact of Course Assignments on Student Performance
Analysis of a causal modeling approach: a case study with an educational intervention
Thinking Causally in EDM: A Hands-On Tutorial for Causal Modeling Using DAGs
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs
Modifying Deep Knowledge Tracing for Multi-step Problems
Semi-Markov model for simulating MOOC students
Supporting the Encouragement of Forum Participation
Using Numeric Optimization To Refine Semantic User Model Integration Of Adaptive Educational Systems
TutorSpace: Content-centric Platform for Enabling Blended Learning in Developing Countries
Prediction of Grades for Reviewing with Automated Peer-review and Reputation Metrics
How Deep is Knowledge Tracing?
Fair Prediction of Students' Summative Performance Changes Using Online Learning Behavior Data
Learning Aid Use Patterns and Their Impact on Exam Performance in Online Developmental Mathematics
Analyzing Student Performance with Personalized Study Path and Learning Trouble Ratio
Toward Predicting Test Score Gains With Online Behavior Data of Teachers
Say What? Automatic Modeling of Collaborative Problem Solving Skills from Student Speech in the Wild
Transactivity as a Predictor of Future Collaborative Knowledge Integration in Team-Based Learning in Online Courses
Improving Student Question Classification
Early Prediction of Student Dropout in Higher Education using Machine Learning Models
Can an Intelligent Tutoring System Predict Math Proficiency as Well as a Standarized Test?
Student Translations of Natural Language into Logic: The Grade Grinder Translation Corpus Release 1.0
Fully Latent Principal Stratification with Misspecified Measurement Models in Intelligent Tutoring Systems
Task and Timing: Separating Procedural and Tactical Knowledge in Student Models
Examining the necessity of problem diagrams using MOOC AB experiments
Predicting Cognitive Engagement in Online Course Discussion Forums
Automated Feedback on the Quality of Collaborative Processes: An Experience Report
Predicting Early and Often: Predictive Student Modeling for Block-Based Programming Environments
Applicability of Educational Data Mining in Afghanistan: Opportunities and Challenges
Computer-based Adaptive Speed Tests
How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors?
Detecting Creativity in an Open Ended Geometry Environment
The real world significance of performance prediction
InVis: An EDM Tool For Graphical Rendering And Analysis Of Student Interaction Data
From Detail to Context: Modeling Distributed Practice Intensity and Timing by Multiresolution Signal Analysis
Classifying behavior to elucidate elegant problem solving in an educational game
Discovering the Prerequisite Relationships Among Instructional Videos From Subtitles
Predicting Young Students' Self-Regulated Learning Deficits Through Their Activity and Self-Evaluation Traces
Validating the Myth of Average through Evidences
Less is More: Improving the Speed and Prediction Power of Knowledge Tracing by Using Less Data
The EDM Vis Tool
pyBKT: An Accessible Library of Bayesian Knowledge Tracing Models
Learning Individual Behavior in an Educational Game: A Data-Driven Approach
ELBA: Exceptional Learning Behavior Analysis
Towards Temporality-Sensitive Recurrent Neural Networks through Enriched Traces
First-Year Composition as "Big Data": Examining Student Revisions at Scale
Semantic Topic Chains for Modeling Temporality of Themes in Online Student Discussion Forums
Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning
Educational Data Mining in an Open-Ended Remote Laboratory on Electric Circuits. Goals and Preliminary Results
Discovering 'Tough Love' Interventions Despite Dropout
Investigating the Dynamic Change of Pre- and In-service Teachers' Experiences, Attitudes, and Perceptions through CS Autobiography Using Topic Modeling
Exploration Maps, Beyond Top Scores: Designing Formative Feedback for Open-Ended Problems
Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty
Automated Search for Logistic Knowledge Tracing Models
Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory
Unraveling Students' Interaction Around a Tangible Interface Using Gesture Recognition
Confident Learning Curves in Additive Factor Modeling
Finding Dependent Test Items: An Information Theory Based Approach
Are You Really a Team Player?: Profiles of collaborative problem solvers in an online environment
The Cold Start Problem and Interpretation of Knowledge Tracing Models' Predictive Performance
Starting Seatwork Earlier as a Valid Measure of Student Engagement
A deep dive into microphone hardware for recording collaborative group work
Consistency of Students' Pace in Online Learning
Comparing Clustering Methods in Group-level Test Collusion Detection
Proceedings of the Workshops held at Educational Data Mining 2014, co-located with 7th International Conference on Educational Data Mining (EDM 2014), London, United Kingdom, July 4-7, 2014
Enabling people to harness and control EDM for lifelong, life-wide learning
The refinement of a Q-matrix: Assessing methods to validate tasks to skills mapping
Educational Reports That Scale Across Users and Data
Simulating Policy Changes in Prerequisite-Free Curricula: A Supervised Data-Driven Approach
Textbook annotations as an early predictor of student learning
Collaboration Analysis Using Object Detection
Prompting as Panacea? A Case Study of In-Context Learning Performance for Qualitative Coding of Classroom Dialog
Predicting Course Transferability Using Deep Embeddings and Traditional Classifiers
Adaptive Assessment Experiment in a HarvardX MOOC
Social Positioning and Performance in MOOCs
Predicting students' performance using emotion detection from face-recording video when interacting with an ITS
Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020, Fully virtual conference, July 10-13, 2020
The Misidentified Identifiability Problem of Bayesian Knowledge Tracing
Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks
Topic Transition in Educational Videos Using Visually Salient Words
Exploring Differences in Problem Solving with Data-Driven Approach Maps
Predicting Performance on MOOC Assessments using Multi-Regression Models
Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization
Relation of Linguistic Indicators to Civic Engagement in Special Education
Epistemic Network Analysis and Topic Modeling for Chat Data from Collaborative Learning Environment
Mining Artificially Generated Data to Estimate Competency
Toward Automated Support for Teacher-Facilitated Formative Feedback on Student Writing
Modelling the way: Using action sequence archetypes to differentiate learning pathways from learning outcomes
Deep-IRT with independent student and item networks
#lets-discuss: Analyzing Student Affect in Course Forums Using Emoji
Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016
Clustering to define interview participants for analyzing student feedback: a case of Legends of Learning
Analyzing Frequent Sequential Patterns of Learning Behaviors in Concept Mapping
Learning Feature Analysis for Quality Improvement of Web-Based Teaching Materials Using Mouse Cursor Tracking
Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice
Characterising Students' Writing Processes Using Temporal Keystroke Analysis
Implementation, Not Capabilities: How Chatbot Utilization Shapes Learners' Navigation Patterns in MOOCs
Auto generation of diagnostic assessments and their quality evaluation
Investigating Relations between Self-Regulated Reading Behaviors and Science Question Difficulty
Data Mining in the Classroom: Discovering Groups' Strategies at a Multi-tabletop Environment
Refining Learning Maps with Data Fitting Techniques: Searching for Better Fitting Learning Maps
Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming
Discovering Prerequisite Relationships Among Knowledge Components
How to Aggregate Multimodal Features for Perceived Task Difficulty Recognition in Intelligent Tutoring Systems
Do College Students Learn Math the Same Way as Middle School Students? On the Transferability of Findings on Within-Problem Supports in Intelligent Tutoring Systems
Does Representational Understanding Enhance Fluency - Or Vice Versa? Searching for Mediation Models
Deductive Coding's Role in AI vs. Human Performance
Teaching Students to Give and To Receive: Improving Disciplinary Writing Through Peer Review
A Trace-Based Generalized Multimodal SRL Framework for Reading-Writing Tasks
Building Explainable Recommender System for Engineering Students Work-Integrated Learning (WIL)
Using Association Rule Mining to Uncover Rarely Occurring Relationships in Two University Online STEM Courses: A Comparative Analysis
A Multi-View Predictive Student Modeling Framework with Interpretable Causal Graph Discovery for Collaborative Learning Analytics
Data-Driven Education: Some opportunities and Challenges
Predicting Reading Comprehension Scores of Elementary School Students
A Comparison of Automatic Teaching Strategies for Heterogeneous Student Populations
Factors Impacting Novice Code Comprehension in a Tutor for Introductory Computer Science
Early Prediction of Conceptual Understanding in Interactive Simulations
The Cleaned Repository of Annotated Personally Identifiable Information
Analyzing the impact of metacognition prompts on learning in CBLE
Detecting Problem Statements in Peer Assessments
An Offline Evaluation Method for Individual Treatment Rules and How to Find Heterogeneous Treatment Effect
Determining Review Coverage by Extracting Topic Sentences Using A Graph-based Clustering Approach
Predicting Student Progress from Peer-Assessment Data
Paragraph Specific N-Gram Approaches to Automatically Assessing Essay Quality
Confounding Carelessness? Exploring Causal Relationships Between Carelessness, Affect, Behavior, and Learning in Cognitive Tutor Algebra Using Graphical Causal Models
Proceedings of the 11th International Conference on Educational Data Mining, EDM 2018, Buffalo, NY, USA, July 15-18, 2018
Collaborative Problem Solving Skills versus Collaboration Outcomes: Findings from Statistical Analysis and Data Mining
Brick: Mining Pedagogically Interesting Sequential Patterns
The predictive power of the SNA metrics for education
Equity of Learning Opportunities in the Chicago City of Learning Program
Anatomy of mobile learners: Using learning analytics to unveil learning in presence of mobile devices
From "Events" to "Activities": Creating Abstraction Techniques for Mining Students' Model-Based Inquiry Processes
Forgetting curves and testing effect in an adaptive learning and assessment system
Educational Data Mining: Illuminating Student Learning Pathways in an Online Fraction Game
Objective Metrics for Evaluating Large Language Models Using External Data Sources
Towards Uncovering the Mysterious World of Math Homework
GritNet: Student Performance Prediction with Deep Learning
Deep Embeddings of Contextual Assessment Data for Improving Performance Prediction
A Framework for the Estimation of Students' Programming Abilities
Towards reliable and valid measurement of individualized student parameters
Problem Response Theory and its Application for Tutoring
Short-Answer Responses to STEM Exercises: Measuring Response Validity and Its Impact on Learning
Modeling Dormitory Occupancy Using Markov Chains
Desirable Difficulty and Other Predictors of Effective Item Orderings
Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students
Grouping Students for Maximizing Learning from Peers
A Spectral Learning Approach to Knowledge Tracing
InVis: An Interactive Visualization Tool for Exploring Interaction Networks
The Sequence of Action Model: Leveraging the Sequence of Attempts and Hints
Is this Data for Real?
Utterance-level Modeling of Indicators of Engaging Classroom Discourse
Interpreting Latent Student Knowledge Representations in Programming Assignments
Do Country Stereotypes Exist in Educational Data? A Clustering Approach for Large, Sparse, and Weighted Data
Tracking Choices: Computational Analysis of Learning Trajectories
The Ebb and Flow of Student Engagement: Measuring motivation through temporal pattern of self-regulation
Obtaining weights of a rubric through a pairwise learning model when the assessment process involves more than one lecturer
A Novel Use of Educational Data Mining to Inform Effective Management of Academic Programs
Learning Parameters for a Knowledge Diagnostic Tools in Orthopedic Surgery
Evolutionary Features for Mitigating Cold Starts in Logistic Knowledge Tracing
Using a Common Sense Knowledge Base to Auto Generate Multi-Dimensional Vocabulary Assessments
Does Student Learning Rate Depend on Feedback Type and Prior Knowledge?
Evaluating Local LLMs on Japanese National University Entrance Examination Dataset in Comparison with Student Performance
Using multiple Dirichlet distributions to improve parameter plausibility
Analysis of problem-solving behavior in open-ended scientific-discovery game challenges
Analyzing Students' Interaction Based on Their Response to Determine Their Learning Outcomes
LeCoRe: A Framework for Modeling Learner's preference