yusuke1997/dblp-id-title huggingface dataset:
Scholars Walk: A Markov Chain Framework for Course Recommendation
Automatic Subject-based Contextualisation of Programming Assignment Lists
Psychological Effects of In-Group Activity Feedback in an Online Explanation Task: Lexical Network Analysis
Where in the World? Demographic Patterns in Access Data
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction
Exploring the Impact of Spacing in Mathematics Learning through Data Mining
Optimizing Partial Credit Algorithms to Predict Student Performance
What is a Step? A User Study on How to Sub-divide the Solution Process of Introductory Python Tasks
How we talk about math: Leveraging naturalistic datasets to define the discourse of math in contrast to other domains
Evaluation of Logic Proof Problem Difficulty Through Student Performance Data
Discovering skill prerequisite structure through Bayesian estimation and nested model comparison
Design and Deployment of a Better University Course Search: Inferring Latent Keywords from Enrollments
Conditions for Effectively Deriving a Q-Matrix from Data with Non-negative Matrix Factorization. Best Paper Award
Towards a Model-Free Estimate of the Limits to Student Modeling Accuracy
Sequence Matters, But How Exactly? A Method for Evaluating Activity Sequences from Data
Understanding Engagement in MOOCs
Using an Additive Factor Model and Performance Factor Analysis to Assess Learning Gains in a Tutoring System to Help Adults with Reading Difficulties
A Platform for Integrating and Analyzing Data to Evaluate the Impacts of Educational Technologies
Student Behavioral Embeddings and Their Relationship to Outcomes in a Collaborative Online Course
Can we Take Advantage of Time-Interval Pattern Mining to Model Students Activity?
Predicting GRE Scores from Application Materials in Test-Optional Admissions
Data-Knowledge-Driven Automatic Discovery of Teacher Classroom Teaching Behavior Indicator Categories
Predicting Student Grade based on Free-style Comments using Word2Vec and ANN by Considering Prediction Results Obtained in Consecutive Lessons
Categorizing students' questions using an ensemble hybrid approach
Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions
A Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs
Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks
Whitebox: A Device To Assist Group Work Evaluation
Trading Off Scientific Knowledge and User Learning with Multi-Armed Bandits
Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems
A Prediction and Early Alert Model Using Learning Management System Data and Grounded in Learning Science Theory
Online Learning Persistence and Academic Achievement
Exploring the effectiveness of Vocabulary Proficiency Diagnosis Using Linguistic Concept and Skill Modeling
This Paper Was Written with the Help of ChatGPT: Exploring the Consequences of AI-Driven Academic Writing on Scholarly Practices
Investigating the Validity of Methods Used to Adjust for Multiple Comparisons in Educational Data Mining
Limits to accuracy: how well can we do at student modeling?
Toward Near Zero-Parameter Prediction Using a Computational Model of Student Learning
Math Content Readability, Student Reading Ability, and Behavior Associated with Gaming the System in Adaptive Learning Software
Educational Data Mining - EDM 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining
Learning Gains for Core Concepts in a Serious Game on Scientific Reasoning
Automatical Graph-based Knowledge Tracing
Who to Help? A Time-Slice Analysis of K-12 Teachers' Decisions in Classes with AI-Supported Tutoring
Data Efficient Machine Learning for Educational Content Creation
Filtering non-relevant short answers in peer learning applications
Modeling the Zone of Proximal Development with a Computational Approach
LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences
Toward Replicable Predictive Model Evaluation in MOOCs
When LLMs Hallucinate: Examining the Effects of Erroneous Feedback in Math Tutoring Systems
LIVELINET: A Multimodal Deep Recurrent Neural Network to Predict Liveliness in Educational Videos
Predicting Students Drop Out: A Case Study
an Argument Learning Environment Using Agent-Based ITS (ALES)
Mining Data from an Automated Grading and Testing System by Adding Rich Reporting Capabilities
Automatic Scoring Method for Descriptive Test Using Recurrent Neural Network
An Ensemble Method to Predict Student Performance in an Online Math Learning Environment
Collaborative Review in Writing Analytics: N-Gram Analysis of Instructor and Student Comments
Fine-Grained Versus Coarse-Grained Data for Estimating Time-on-Task in Learning Programming
Automatic Gaze-Based Detection of Mind Wandering during Film Viewing
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor
Exploring Expertise through Visualizing Agent Policies and Human Strategies in Open-Ended Games
Assigning Educational Videos at Appropriate Locations in Textbooks
The Effect of Visual Cues on Cognitive Load Depending on Self-Regulation in Video-Based Learning
Gathering Emotional Data from Multiple Sources
Machine-Learned School Dropout Early Warning at Scale
Matrix Factorization Feasibility for Sequencing and Adaptive Support in Intelligent Tutoring Systems
Using Markov Models and Random Walks to Examine Strategy Use of More or Less Successful Comprehenders
Feature Selection Metrics: Similarities, Differences, and Characteristics of the Selected Models
Investigating the efficacy of algorithmic student modelling in predicting students at risk of failing in tertiary education
Pinpointing Learning Moments; A finer grain P(J) model
Developing a Log-based Motivation Measuring Tool
Deep Hierarchical Knowledge Tracing
Mining behaviors of students in autograding submission system logs
Direct Estimation of the Minimum RSS Value for Training Bayesian Knowledge Tracing Parameters
The effect of teachers reassigning students to new Cognitive Tutor sections
Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks
Regularizing Student Parameters of Individualized Bayesian Knowledge Tracing Model
Analytic Comparison of Three Methods to Evaluate Tutorial Behaviors
Fair-Capacitated Clustering
Quality Control and Data Mining Techniques Applied to Monitoring Scaled Scores
Using Temporal Association Rule Mining to Predict Dyadic Rapport in Peer Tutoring
Mining Login Data For Actionable Student Insight
How do Students Organize Personal Information Spaces?
Investigating Writing Style Development in High School
Predicting Standardized Test Scores from Cognitive Tutor Interactions
The CommonLit Ease of Readability (CLEAR) Corpus
Does Time Matter? Modeling the Effect of Time with Bayesian Knowledge Tracing
The Impact of Incorporating Student Confidence Items into an Intelligent Tutor: A Randomized Controlled Trial
Tools for Planning and Analyzing Randomized Controlled Trials and A/B Tests
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills
Using Data Quality to compare the Prediction Accuracy based on diverse annotated Tutor Scorings
Effective Evaluation of Online Learning Interventions with Surrogate Measures
The Actionable Explanations for Student Success Prediction Models: A Benchmark Study on the Quality of Counterfactual Methods
Toward Scalable Improvement of Large Content Portfolios for Adaptive Instruction
Social Media Mining to Understand the Impact of Co-operative Education on Mental Health
Effect of Q-matrix Misspecification on Variational Autoencoders (VAE) for Multidimensional Item Response Theory (MIRT) Models Estimation
Analyzing the Mental Health of Engineering Students using Classification and Regression
Component Model in Discourse Analysis
Mining and Visualizing Visited Trails in Web-Based Educational Systems
Modeling person-specific development of math skills in continuous time: New evidence for mutualism
Clustering Students Using Pre-Midterm Behaviour Data and Predict Their Exam Performance
Identifying Experts from Interaction Behaviour
Expanding Knowledge Tracing to Prediction of Gaming Behaviors
A Framework for Multifaceted Evaluation of Student Models
Using a Randomized Experiment to Compare the Performance of Two Adaptive Assessment Engines
Predicting STEM and Non-STEM College Major Enrollment from Middle School Interaction with Mathematics Educational Software
Measuring task difficulty for online learning environments where multiple attempts are allowed - the Elo rating algorithm approach
Predicting Student Performance In a Collaborative Learning Environment
Cluster Analysis of Real Time Location Data - An Application of Gaussian Mixture Models
Analysing Engineering Expertise of High School Students Using Eye Tracking and Multimodal Learning Analytics
The Challenge of Challenges: Examining the Impact of Difficulty Dynamics on Mastery Learning in Math
Investigating effects of considering mobile and desktop learning data on predictive power of learning management system (LMS) features on student success
Mining Student Behavior Models in Learning-by-Teaching Environments
Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing
Promoting Open Science in Educational Data Mining: An Interactive Tutorial on Licensing, Data, and Containers
Investigating learners' Cognitive Engagement in Python Programming using ICAP framework
Estimating the Treatment Effect of New Device Deployment on Uruguayan Students' Online Learning Activity
Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner Proficiency
Affective State Detection in Educational Systems through Mining Multimodal Data Sources
Untangling The Program Name Versus The Curriculum: An Investigation of Titles and Curriculum Content
Simulating Multi-Subject Momentary Time Sampling
First Steps Towards NLP-based Formative Feedback to Improve Scientific Writing in Hebrew
Measuring Item Teaching Value in an Online Learning Environment
Identifying relationships between students' questions type and their behavior
Social Information Discovery
Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints (Full Paper)
Student Use of Inquiry Simulations in Middle School Science
EduQuest: Lecture Texts and Questions for Higher Education
Semantic Graphs for Mathematics Word Problems based on Mathematics Terminology
Adaptive Test Design with a Naive Bayes Framework
Distance measure between instructor-recommended and learner's learning pathways
Data Mining of both Right and Wrong Answers from a Mathematics and a Science M/C Test given Collectively to 11, 228 Students from India in years 4, 6 and 8
SKETCHMINER: Mining Learner-Generated Science Drawings with Topological Abstraction
Fostering Interaction in Computer-Supported Collaborative Learning Environment
Multi-Armed Bandits for Intelligent Tutoring Systems
Towards Difficulty Controllable Selection of Next-Sentence Prediction Questions
Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications
Reimagining Khan Analytics for Student Coaches
Modeling Cognitive Load and Affect to Support Adaptive Online Learning
On-Line Plan Recognition in Exploratory Learning Environments
A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems
Accelerating Practical Knowledge Sharing in Teachers' Communities with Human-aware Artificial Intelligence
Towards Automated Generation and Evaluation of Questions in Educational Domains
Learning Problem Decomposition-Recomposition with Data-driven Chunky Parsons Problems within an Intelligent Logic Tutor
Designing Simulated Students to Emulate Learner Activity Data in an Open-Ended Learning Environment
Measuring Gameplay Affordances of User-Generated Content in an Educational Game
To Scale or Not to Scale: Comparing Popular Sentiment Analysis Dictionaries on Educational Twitter Data
Data-Driven Proficiency Profiling
Problem detection in peer assessments between subjects by effective transfer learning and active learning
Determining Problem Selection for a Logic Proof Tutor
Novel features for capturing cooccurrence behavior in dyadic collaborative problem solving tasks
Exploring Cultural Diversity and Collaborative Team Communication through a Dynamical Systems Lens
Modeling and Optimizing Forgetting and Spacing Effects during Musical Interval Training
Mining Bodily Patterns of Affective Experience during Learning
Data Mining Algorithms to Classify Students
Spectral Clustering in Educational Data Mining
E3: Emotions, Engagement and Educational Games
Educational Data Mining 2008, The 1st International Conference on Educational Data Mining, Montreal, Québec, Canada, June 20-21, 2008. Proceedings
Back to the basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation
Teachers and Students Learn Cyber Security: Comparing Software Quality, Security
Problem-Solving Behavior and EdTech Effectiveness: A Model for Exploratory Causal Analysis
Data-driven modelling of students' interactions in an ILE
DARE: Deep Anaphora Resolution in Dialogue based Intelligent Tutoring Systems
Extracting Latent Skills from Time Series of Asynchronous and Incomplete Examinations
Predicting Cognitive Load Using Sensor Data in a Literacy Game
Towards a Unified Framework for Evaluating Explanations
Understanding Revision Behavior in Adaptive Writing Support Systems for Education
The Impact of a Personalization Intervention for Mathematics on Learning and Non-Cognitive Factors
How to Judge Learning on Online Learning: Minimum Learning Judgment System
Exploring the Impact of Data-driven Tutoring Methods on Students' Demonstrative Knowledge in Logic Problem Solving
Tracking Classroom Movement Patterns with Person Re-ID
Human-Centric eXplainable AI in Education (HEXED) Workshop
Indicator Visualization for Adaptive Exploratory Learning Environments
Predicting Challenge Outcomes for Students in a Digital Game for Learning Genetics
An EDM-based Multimodal Method for Assessing Learners' Affective States in Collaborative Crisis Management Serious Games
Can ChatGPT Detect Student Talk Moves in Classroom Discourse? A Preliminary Comparison with Bert
Mining Epistemic Actions of Programming Problem Solving with Chat-GPT
Examining the Influence of Varied Levels of Domain Knowledge Base Inclusion in GPT-based Intelligent Tutors
SingPAD: A Knowledge Tracing Dataset Based on Music Performance Assessment
How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses
Probabilistic Modeling of Peer Correction and Peer Assessment
Getting too personal(ized): The importance of feature choice in online adaptive algorithms
An Improved Data-Driven Hint Selection Algorithm for Probability Tutors
A New Interpretation of Knowledge Tracing Models' Predictive Performance in Terms of the Cold Start Problem
EAnalyst: Toward Understanding Large-scale Educational Data
Causal Discovery with Models: Behavior, Affect, and Learning in Cognitive Tutor Algebra
Comparing and combining tests for plagiarism detection in online exams
Data-driven goal setting: Searching optimal badges in the decision forest
Investigating teams' Socially Shared Metacognitive Regulation (SSMR) and transactivity in project-based computer supported collaborative learning environment
Using Knowledge Component Modeling to Increase Domain Understanding in a Digital Learning Game
The Simple Location Heuristic is Better at Predicting Students' Changes in Error Rate Over Time Compared to the Simple Temporal Heuristic
Optimal and Worst-Case Performance of Mastery Learning Assessment with Bayesian Knowledge Tracing
Collaborative Data Mining Tool for Education
Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems
Pundit: Intelligent Recommender of Courses
Using Students' Programming Behavior to Predict Success in an Introductory Mathematics Course
Using Multimodal Learning Analytics to Study Learning Mechanisms
Predicting Prospective Peer Helpers to Provide Just-In-Time Help to Users in Question and Answer Forums
Recent-Performance Factors Analysis
Interestingness Measures for Associations Rules in Educational Data
Principles for Assessing Adaptive Online Courses
Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25-28, 2017
Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System
Sensor-free automated detection of affect in a Cognitive Tutor for Algebra
Predicting Student Retention from Behavior in an Online Orientation Course
The Impact of Learning Analytics on Student Performance and Satisfaction in a Higher Education Course
Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning
Learning Curves for Problems with Multiple Knowledge Components
Using a Lexical Analysis of Student's Self-Explanation to Predict Course Performance
Expediting Support for Social Learning with Behavior Modeling
Investigating the Importance of Demographic Features for EDM-Predictions
Exploring Simultaneous Knowledge and Behavior Tracing
Uncovering Class-Wide Patterns in Responses to True/False Questions
Examining the Role of LLM-Driven Interactions on Attention and Cognitive Engagement in Virtual Classrooms
Deciding on Feedback Polarity and Timing
Automatic Question Generation and Constructed Response Scoring in Intelligent Texts
2nd Workshop on Educational Data Mining in Writing and Literacy Instruction
Combining Study of Complex Network and Text Mining Analysis to Understand Growth Mechanism of Communities on SNS
Improving Peer Assessment with Graph Neural Networks
A New Readability Assessment Tool
Temporally Coherent Clustering of Student Data
Clustering the Learning Patterns of Adults with Low Literacy Skills Interacting with an Intelligent Tutoring System
Unnatural Feature Engineering: Evolving Augmented Graph Grammars for Argument Diagrams
Exploring the Importance of Factors Contributing to Dropouts in Higher Education Over Time
Predictive performance of prevailing approaches to skills assessment techniques: Insights from real vs. synthetic data sets
Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations
Modeling student retention in an environment with delayed testing
Immediate Data-Driven Positive Feedback Increases Engagement on Programming Homework for Novices
Peer Production of Online Learning Resources: A Social Network Analysis
Using Publicly Available Auxiliary Data to Improve Precision of Treatment Effect Estimation in a Randomized Efficacy Trial
Restructuring Curricular Patterns Using Bayesian Networks
LLM-generated Feedback in Real Classes and Beyond: Perspectives from Students and Instructors
Supporting Minority Student Success by using Machine Learning to Identify At-Risk Students
Project CASSI: A Social-Graph Based Tool for Classroom Behavior Analysis and Optimization
Predicting Individualized Learner Models Across Tutor Lessons
AGG: Augmented Graph Grammars for Complex Heterogeneous Data
JupyterLab Extensions for Blocks Programming, Self-Explanations, and HTML Injection (Abstract)
From Text to Feedback: Leveraging Data Mining to Build Educational Technologies
Image Reconstruction of Tablet Front Camera Recordings in Educational Settings
Probing the Landscape: Toward a Systematic Taxonomy of Online Peer Assessment Systems in Education
Edu-mining for Book Recommendation for Pupils
Toward the Automatic Labeling of Course Questions for Ensuring their Alignment with Learning Outcomes
Bringing Generative Artificial Intelligence (GenAI) to Education
Investigating Growth of Representational Competencies by Knowledge-Component Model
VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics
A Transfer Learning Approach for Applying Matrix Factorization to Small ITS Datasets
Predicting Student Success with Heterogeneous Graph Deep Learning and Machine Learning Models
Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling
Recommending Knowledge Concepts on MOOC Platforms with Meta-path-based Representation Learning
Investigating How Student's Cognitive Behavior in MOOC Discussion Forum Affect Learning Gains
Topic-wise Classification of MOOC Discussions: A Visual Analytics Approach
Improving the Generalizability of Models of Collaborative Discourse
Impact of Revision Planning on Peer-Reviewed Writing
Short answer grading with sentence similarity and a few given grades
The impact of online educational platform on students' motivation and grades: the case of Khan Academy in the under-resourced communities
Automatic Matchmaking in Two-Versus-Two Sports
Developing Explainable AI Systems to Support Feedback for Students
Video-Based Affect Detection in Noninteractive Learning Environments
Evaluating Correctness of Student Code Explanations: Challenges and Solutions
Deep Learning + Student Modeling + Clustering: a Recipe for Effective Automatic Short Answer Grading
Safe Generative Chats in a WhatsApp Intelligent Tutoring System
Dropout Prediction in MOOCs using Learners' Study Habits Features
How patterns in source codes of students can help in detection of their programming skills?
Data-Driven Feedback Beyond Next-Step Hints
Peer assessment in the first French MOOC : Analyzing assessors' behavior
Identifying and Evaluating Novel Knowledge Component Models for Programming Skills
Data Sharing: Low-Cost Sensors for Affect and Cognition
LMS Log Data Analysis from Fully-Online Flipped Classrooms: An Exploratory Case Study via Regularization
Kappa Learning: A New Item-Similarity Method for Clustering Educational Items from Response Data
Improving Short and Long-term Learning in an Online Homework System
Assessing attendance by peer information
Towards Automatic Classification of Learning Objects: Reducing the Number of Used Features
Towards Personalised Learning of Psychomotor Skills with Data Mining
Where to aim? Factors that influence the performance of Brazilian secondary schools
Evaluating Topic-Word Review Analysis for Understanding Student Peer Review Performance
Predicting Performance on Dichotomous Questions: Comparing Models for Large-Scale Adaptive Testing
AutoJoin: Generalizing an Example into an EDM query
Claim Detection and Relationship with Writing Quality
The Half-Life of Epistemic Emotions: How Motivation Influences Affective Chronometry
A Model for Student Action Prediction in 3D Virtual Environments for Procedural Training
An Annotations Approach to Peer Tutoring
An Empirical Analysis of Skewed Temporal Data for Distribution-based Course Similarity
AQuAA: Analytics for Quality Assurance in Assessment
Mining Multi-dimensional Patterns for Student Modelling
Can't Inflate Data? Let the Models Unite and Vote: Data-agnostic Method to Avoid Overfit with Small Data
Automated Metareviewing: A Classifier Approach to Assess the Quality of Reviews
Exploring the Effect of Student Confusion in Massive Open Online Courses
Predicting student grades from online, collaborative social learning metrics using K-NN
Sequencing Educational Content Using Diversity Aware Bandits
Mining Course Groupings based on Academic Performance
A Data-Driven Approach for Automated Assessment of Scientific Explanations in Science Inquiry
Evaluation of a Data-driven Feedback Algorithm for Open-ended Programming
Applying three models of learning to individual student log data
A Moodle Block for Selecting, Visualizing and Mining Students' Usage Data
Studying MOOC Completion at Scale Using the MOOC Replication Framework
Assessing Student Response in Tutorial Dialogue Context using Probabilistic Soft Logic
A Time-Aware Approach to Detect Patterns and Predict Help-Seeking Behaviour in Adaptive Educational Systems
EDM and the 4th Paradigm of Scientific Discovery - Reflections on KDD Cup 2010
Automated Claim Identification Using NLP Features in Student Argumentative Essays
A Comparison of Model Selection Metrics in DataShop