yusuke1997/dblp-id-title huggingface dataset:
Multiple Test Forms Construction based on Bees Algorithm
Discovering Process in Curriculum Data to Provide Recommendation
Computational Infrastructures for School Improvement: A Way to Move Forward
Using Dirichlet priors to improve model parameter plausibility
Neural Recall Network: A Neural Network Solution to Low Recall Problem in Regex-based Qualitative Coding
Predicting Student Dropout in Higher Education Based on Previous Exam Results
Identifying Off-Task Users in a Large-Scale, Game-Based Practice Assessment
Integrating Learning Styles into Adaptive e-Learning System
Dynamics of Peer Grading: An Empirical Study
Predicting Students' Outcome by Interaction Monitoring
Toward Instrumenting Makerspaces: Using Motion Sensors to Capture Students' Affective States in Open-Ended Learning Environments
Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and Affect
Automatic Discovery of Speech Act Categories in Educational Games
Building a Reinforcement Learning Environment from Limited Data to Optimize Teachable Robot Interventions
Comparing Novice and Experienced Students in Virtual Performance Assessments
Behavioral Testing of Deep Knowledge Tracing Models
Teacher-Student Classroom Interactions: A Computational Approach
Predicting College Enrollment from Student Interaction with an Intelligent Tutoring System in Middle School
An Evaluation of code2vec Embeddings for Scratch
Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information
Matching Hypothesis Text in Diagrams and Essays
Comparison of Off the Shelf Data Mining Methodologies in Educational Game Analytics
Explainable Analysis of AI-Generated Responses in Online Learning Discussions
A Comparison of Real-Time User Classification Methods using Interaction Data for Open-ended Learning
Adaptive Practice of Facts in Domains with Varied Prior Knowledge
Identifying Students' Inquiry Planning Using Machine Learning
Augmenting Transcripts with Natural Language Processing and Multimodal Data
Online Optimization of Teaching Sequences with Multi-Armed Bandits
A Comparison of Student Skill Knowledge Estimates
Sequence Modelling For Analysing Student Interaction with Educational Systems
Partially Observable Sequential Decision Making for Problem Selection in an Intelligent Tutoring System
Preliminary Experiments with Transformer based Approaches To Automatically Inferring Domain Models from Textbooks
Assistant for the detection of potential cheating behavior in synchronous online programming exams
Interpreting model discovery and testing generalization to a new dataset
Using Educational Data Mining Methods to Study the Impact of Virtual Classroom in E-Learning
Predicting students' learning achievement by using online learning patterns in blended learning environments: Comparison of two cases on linear and non-linear model
Desperately Seeking Subscripts: Towards Automated Model Parameterization
Enhancing the Accuracy of Predicting Students Grades in Open-Ended Questions through Adjustments to Attention Weights
Clustering Student Learning Activity Data
IntelliMOOC: Intelligent Online Learning Framework for MOOC Platforms
Investigating Swarm Intelligence for Performance Prediction
Using online text books and in-class quizzes to predict in class performance
Using Latent Variable Models to Observe Academic Pathways
Analysis and extraction of behaviors by students in lectures
Exploring the function of discussion forums in MOOCs: comparing data mining and graph-based approaches
CHUNK Learning: A Tool that Supports Personalized Education
Using Intelligent Texts in a Computer Science Classroom: Findings from an iTELL Deployment
Mining Innovative Augmented Graph Grammars for Argument Diagrams through Novelty Selection
Seeking Programming-related Information from Large Scaled Discussion Forums, Help or Harm?
Graph-based Educational Data Mining
Predicting Student Dropout by Mining Advisor Notes
Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data
A Human-Machine Hybrid Peer Grading Framework for SPOCs
Sequences of Frustration and Confusion, and Learning
Development of a Workbench to Address the Educational Data Mining Bottleneck
Analyzing Ranking Strategies to Characterize Competition for Co-Operative Work Placements
Power Calculations for Randomized Controlled Trials with Auxiliary Observational Data
Automated Extraction of Results from Full Text Journal Articles
Proceedings of the 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015
A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets
Comparing Human Roleplayers and LLM-Simulated Clients in Online Counselling Training: An Analysis of Counselling Patterns
Exploring Social Influence on the Usage of Resources in an Online Learning Community
Linguistic Features of Discourse within an Algebra Online Discussion Board
Adaptive Sequential Recommendation for Discussion Forums on MOOCs using Context Trees
How Should Online Teachers of English as a Foreign Language (EFL) Write Feedback to Students?
A Comparative Analysis of Emotional Words for Learning Effectiveness in Online Education
Identifying Styles and Paths toward Success in MOOCs
A Methodology for Student Video Interaction Patterns Analysis and Classification
Comparing Feature Engineering Approaches to Predict Complex Programming Behaviors
Towards Automated Assessment of Scientific Explanations in Turkish using Language Transfer
RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations
Studying the Problem-solving Strategies in the Early Stages of Learning Programming
Inferring Frequently Asked Questions from Student Question Answering Forums
Explainability in Educational Data Mining and Learning Analytics: An Umbrella Review
Using Course Evaluations and Student Data to Predict Computer Science Student Success
The effects of a personalized recommendation system on students' high-stakes achievement scores: A field experiment
Context-aware knowledge tracing integrated with the exercise representation and association in mathematics
How quickly can wheel spinning be detected?
Towards Better Understanding of Transfer in Cognitive Models of Practice
Understanding Revision Planning in Peer-Reviewed Writing
Discovering the Pedagogical Resources that Assist Students to Answer Questions Correctly - A Machine Learning Approach
Predicting Bug Fix Time in Students' Programming with Deep Language Models
Evaluation of Automatically Generated Hint Feedback
Overcoming Foreign Language Anxiety in an Emotionally Intelligent Tutoring System
A Distillation Approach to Refining Learning Objects
A Neural Network Approach to Estimate Student Skill Mastery in Cognitive Diagnostic Assessments
Partner Keystrokes can Predict Attentional States during Chat-based Conversations
Accounting for Slipping and Other False Negatives in Logistic Models of Student Learning
Personalized and Explainable Course Recommendations for Students at Risk of Dropping out
Improving Contextual Models of Guessing and Slipping with a Trucated Training Set
Replicating an "Astonishing Regularity in Student Learning Rate"
Student Practice Sessions Modeled as ICAP Activity Silos
Towards Modeling Students' Problem-solving Skills in Non-routine Mathematics Problems
Studying Assignment Size and Student Performance Using Propensity Score Matching
Riding an emotional roller-coaster: A multimodal study of young child's math problem solving activities
Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments
Document Chunking and Learning Objective Generation for Instruction Design
Writing Transfer as a Framework for Big Data and Writing Analytics Research
The Use of Student Confidence for Prediction & Resolving Individual Student Knowledge Structure
Educational Data Mining and Analyzing of Student Learning Outcomes from the Perspective of Learning Experience
Automatic Gaze-Based Detection of Mind Wandering during Reading
Moving beyond Test Scores: Analyzing the Effectiveness of a Digital Learning Game through Learning Analytics
Exploration of Process Mining Opportunities In Educational Software Engineering - The GitLab Analyser
A Unified 5-Dimensional Framework for Student Models
Evaluating sources of course information and models of representation on a variety of institutional prediction tasks
Open Science and Educational Data Mining: Which Practices Matter Most?
Data Driven Online Training Program for Education Robotics Competition
Quizzing Policy Using Reinforcement Learning for Inferring the Student Knowledge State
Hello? Who is posting, who is answering, and who is succeeding in Massive Open Online Courses
Assessing the Fairness of Graduation Predictions
Student Performance Prediction by Discovering Inter-Activity Relations
Visualization and clustering of learner pathways in an interactive online learning environment
Estimating the Local Size and Coverage of Interaction Network Regions
Using Process Data to Evaluate Scientific Inquiry Practice in Technology-Enhanced Assessment
Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm
Gaining Insight into Effective Teaching of AI Problem-Solving Through CSEDM: A Case Study (Work in Progress)
Using Similarity to the Previous Problem to Improve Bayesian Knowledge Tracing
Dynamic User Modeling within a Game-Based ITS
Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor
Auditing an Automatic Grading Model with deep Reinforcement Learning
Skill Assessment Using Behavior Data in Virtual World
eLAT: An Exploratory Learning Analytics Tool for Reflection and Iterative Improvement of Technology Enhanced Learning
Quest-Genius: An AI-Driven Personalised Learning Platform Bridging Educational Gaps for Secondary Students - A Quasi-Experimental Study on Academic Performance, Engagement, and Equity
Explainable models for feedback design: An argumentative writing example
On the Limitations of Human-Computer Agreement in Automated Essay Scoring
Towards Fair Educational Data Mining: A Case Study on Detecting At-risk Students
On the Performance Characteristics of Latent-Factor and Knowledge Tracing Models
Exploring students' learning processes by logging and analyzing their interaction behavior in a Virtual Reality learning environment
Study on Automatic Scoring of Descriptive Type Tests using Text Similarity Calculations
Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models
Using Survival Analysis to Identify the Factors that Mitigate Attrition among Adult Learners with Low Literacy Skills in an ITS-based Literacy Program
Sensor-Free or Sensor-Full: A Comparison of Data Modalities in Multi-Channel Affect Detection
Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study
Adding eye-tracking AOI data to models of representation skills does not improve prediction accuracy
Hint Availability Slows Completion Times in Summer Work
When Trying to Be Helpful, Peer Reviews Are Also More Accurate
Towards fair, explainable and actionable clustering for learning analytics
Designing a Learning Environment to Foster Critical Thinking
A Binary Integer Programming Model for Global Optimization of Learning Path Discovery
FlexCCT: Software for Maximum Likelihood Cultural Consensus Theory
SPL: A Socratic Playground for Learning Powered by Large Language Model
QuanTyler : Apportioning Credit for Student Forum Participation
Building Learner Activity Models From Log Data Using Sequence Mapping and Hidden Markov Models
Data-Driven Approaches for Exploring the Effects of Teacher Instruction on Student Programming Behaviors
Curriculum profile: modelling the gaps between curriculum and the job market
Predicting student academic outcomes in UK secondary phase education: an architecture for machine learning and user interaction
An Analysis of Diffusion of Teacher-curated Resources on Pinterest
Synthetic Embedding-based Data Generation Methods for Student Performance
Who are they looking at? Automatic Eye Gaze Following for Classroom Observation Video Analysis
Propositional Extraction from Natural Speech in Small Group Collaborative Tasks
Mining User Trajectories in Electronic Text Books
How Can We Use LLMs for EDM Tasks? The Case of Course Recommendation
Using ITS Generated Data to Predict Standardized Test Scores
"Closing the Loop" in Educational Data Science with an Open Source Architecture for Large-Scale Field Trials
Binary Q-matrix Learning with dAFM
Cultural aspects related to motivation to learn in a Mexican context
Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), Atlanta, Georgia, USA, July 14, 2024
Text analysis with LIWC and Coh-Metrix: Portraying MOOCs Instructors
Mining Free-form Spoken Responses to Tutor Prompts
Subspace Clustering of Skill Mastery: Identifying Skills that Separate Students
Toward a deep convolutional LSTM for eye gaze spatiotemporal data sequence classification
Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses
Why, What, and How to Log? Lessons from LISTEN
From Discourse to Dynamics: Understanding Team Interactions Through Temporally Sensitive NLP
Can we predict which groups of questions students will learn from?
Determining Perceived Text Complexity: An Evaluation of German Sentences Through Student Assessments
Mining a Written Values Affirmation Intervention to Identify the Unique Linguistic Features of Stigmatized Groups
Beyond Log Files: Using Multi-Modal Data Streams Towards Data-Driven KC Model Improvement
Facilitating Graph Interpretation via Interactive Hierarchical Edges
Workshops Proceedings of EDM 2015 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015
Student Subtyping via EM-Inverse Reinforcement Learning
BOTS: Harnessing Player Data and Player Effort to Create and Evaluate Levels in a Serious Game
Neural Attentive Knowledge-based Model for Grade Prediction
Knowledge Tracing Over Time: A Longitudinal Analysis
Finding the optimal topic sequence for online courses using SERPs as a Proxy
Active Learning for Student Affect Detection
Be back in 5 minutes: Exploring correlations between short breaks with student performance
Exploring Learning Management System Interaction Data: Combining Data-driven and Theory-driven Approaches
Designing and Evaluating Evidence-Centered Design based Conversations for Assessment with LLMs
Mining for Evidence of Collaborative Learning in Question & Answering Systems
Evaluating multidimensional extensions of the Elo rating systems for tracking ability in online learning environments
Are You an Early Dropper or Late Shopper? Mining Enrollment Transaction Data to Study Procrastination in Higher Education
Singular Value Decomposition in Education: a case study on recommending courses
Learning Analytics Platform. Towards an Open Scalable Streaming Solution for Education
Staying in the Zone: Sequencing Content in Classrooms Based on the Zone of Proximal Development
Grade Prediction with Temporal Course-wise Influence
A Constraints-Based Approach to Fully Interpretable Neural Networks for Detecting Learner Behaviors
Implicit and Explicit Emotions in MOOCs
Using Big Data to Sharpen Design-Based Inference in A/B Tests
GPT vs. Llama2: Which Comes Closer to Human Writing?
A Preliminary Investigation of Learner Characteristics for Unsupervised Dialogue Act Classification
Mining information from tutor data to improve pedagogical content knowledge
Using Visual Analytics Tool for Improving Data Comprehension
A Brief Overview of Metrics for Evaluation of Student Models
Response Process Data in Educational and Psychological Assessment: A Scoping Review of Empirical Studies
Mining and Assessing Anomalies in Students' Online Learning Activities with Self-supervised Machine Learning
Incorporating Scaffolding and Tutor Context into Bayesian Knowledge Tracing to Predict Inquiry Skill Acquisition
Analysis of Productive Learning Behaviors in a Structured Inquiry Cycle Using Hidden Markov Models
Using Multi-level Models to Assess Data From an Intelligent Tutoring System
More, May not the Better: Insights from Applying Deep Reinforcement Learning for Pedagogical Policy Induction
Analyzing paths in a student database
Multimodal Learning Analytics for Predicting Student Collaboration Satisfaction in Collaborative Game-Based Learning
Gauging MOOC Learners' Adherence to the Designed Learning Path
Detecting Outlier Behaviors in Student Progress Trajectories Using a Repeated Fuzzy Clustering Approach
EDM and Privacy: Ethics and Legalities of Data Collection, Usage, and Storage
Redefining "What" in Analyses of Who Does What in MOOCs
Emerging Patterns in Student's Learning Attributes through Text Mining
Computerized Coding System for Life Narratives to Assess Students' Personality Adaption
Success prediction in MOOCs: A case study
Comparison of Data Imputation Performance in Deep Generative Models for Educational Tabular Missing Data
Defining Mastery: Knowledge Tracing Versus N- Consecutive Correct Responses
Detecting Player Goals from Game Log Files
Effects of Algorithmic Transparency in Bayesian Knowledge Tracing on Trust and Perceived Accuracy
Can the Paths of Successful Students Help Other Students With Their Course Enrollments?
Erroneous Answers Categorization for Sketching Questions in Spatial Visualization Training
A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks
Says Who? How different ground truth measures of emotion impact student affective modeling
Differentiating between Educational Data Mining and Learning Analytics: A Bibliometric Approach
Validating Game-based Measures of Implicit Science Learning
On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning
Joint Proceedings of the Workshops of the 12th International Conference on Educational Data Mining co-located with the 12th International Conference on Educational Data Mining, EDM 2019 Workshops, Montréal, Canada, July 2-5, 2019
Theory-Informed Problem-Solving Sequential Pattern Visualization
E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems
DISCUSS: Enabling Detailed Characterization of Tutorial Interactions Through Dialogue Annotation
Text Representations of Math Tutorial Videos forClustering, Retrieval, and Learning Gain Prediction
Discovering prerequisite relationships between knowledge components from an interpretable learner model
Practical Evaluation of Deep Knowledge Tracing Models for use in Learning Platforms
An Open Vocabulary Approach for Estimating Teacher Use of Authentic Questions in Classroom Discourse
Variable Construction and Causal Discovery for Cognitive Tutor Log Data: Initial Results
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs
Non-cognitive Factors of Learning as Predictors of Academic Performance in Tertiary Education
Towards discovering problem similarity through deep learning: combining problem features and user behavior
Acting the Same Differently: A Cross-Course Comparison of User Behavior in MOOCs
Does Practice Make Perfect? Analyzing the Relationship Between Higher Mastery and Forgetting in an Adaptive Learning System
The evolution of virtual tutors, clinician, and companions: A 20-year perspective on conversational agents in real-world applications
MATHia X: The Next Generation Cognitive Tutor
Machine Beats Experts: Automatic Discovery of Skill Models for Data-Driven Online Courseware Refinement
Integrated Curriculum Analytics: Bridging Structure, Pass Rates, and Student Outcomes
A Preliminary Analysis of the Logged Questions that Students Ask in Introductory Computer Science
Structural Explanation of Automated Essay Scoring
Dataset on an online collaborative learning situation in a computer networks course (Abstract)
Evaluating Quadratic Weighted Kappa as the Standard Performance Metric for Automated Essay Scoring
Analyzing Learning Styles using Behavioral Indicators in Web based Learning Environments
Individual Differences in Student Learning Aid Usage
A Novel Algorithm for Aggregating Crowdsourced Opinions
Proceedings of the 5th International Conference on Educational Data Mining, Chania, Greece, June 19-21, 2012
Automated Identification and Validation of the Optimal Number of Knowledge Profiles in Student Response Data
Predicting Student Enrollment based on Student and College Characteristics
Mining Concept Maps to Understand Students' Learning
Characterizing Collaboration in the Pair Program Tracing and Debugging Eye-Tracking Experiment: A Preliminary Analysis
ENGAGE: An API Capable Data Collection and Analysis System for Classroom Behavior
The Antecedents of and Associations with Elective Replay in An Educational Game: Is Replay Worth It?
Assessing Instructor Effectiveness Based on Future Student Performance
Predicting Off-task Behaviors for Adaptive Vocabulary Learning System
Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels
Investigating Automated Student Modeling in a Java MOOC
Supervised Machine Learning for Modelling STEM Career and Education Interest in Irish School Children
Combining Cognitive and Machine Learning Models to Mine CPR Training Histories for Personalized Predictions
An Algorithm for Reducing the Complexity of Interaction Networks
Can Word Probabilities from LDA be Simply Added up to Represent Documents?
Integrating latent-factor and knowledge-tracing models to predict individual differences in learning
A Better Cold-Start for Early Prediction of Student At-Risk Status in New School Districts
Hierarchical Structures of Content Items in LMS
Identifying student communities in blended courses
Investigate Effectiveness of Code Features in Knowledge Tracing Task on Novice Programming Course. (Work in Progress)
Hierarchical Dialogue Act Classification in Online Tutoring Sessions
Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments
Detecting and Understanding the Impact of Cognitive and Interpersonal Conflict in Computer Supported Collaborative Learning Environments
Going Deep and Far: Gaze-based Models Predict Multiple Depths of Comprehension During and One Week Following Reading
Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network
Prioritizing the Indicators of Effective Inclusive Education Assessment Framework using TOPSIS Analysis for children with Disabilities: A Case of Delhi
Dropout Prediction in Home Care Training
Aim Low: Correlation-based Feature Selection for Model-based Reinforcement Learning
A Comparison of Error Metrics for Learning Model Parameters in Bayesian Knowledge Tracing
Speaker Diarization in the Classroom: How Much Does Each Student Speak in Group Discussions?
Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming
Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations
Adversarial bandits for drawing generalizable conclusions in non-adversarial experiments: an empirical study
Relevancy prediction of micro-blog questions in an educational setting
Extending the Assistance Model: Analyzing the Use of Assistance over Time
Student Usage Predicts Treatment Effect Heterogeneity in the Cognitive Tutor Algebra I Program
Modeling Network Dynamics of MOOC Discussion Interactions at Scale
An Improved Spectral Bisection Algorithm and its Application to Dynamic Load Balancing
Dynamic Simulation of Wastewater Treatment - The Process of Nitrification
EUROSIM'96, Simulation Congress, Proceedings of the 1995 EUROSIM Conference, Vienna, Austria, 11-15 September 1995
Simulation Model Structures with Mobile and Static Intelligent Entities
QNH: a numerical weather prediction model developed for massively parallel processors