EDM B

77 papers

YearTitle / Authors
2023"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.
M. Parvez Rashid, Divyang Doshi, Sai Venkata Vinay, Qinjin Jia, Edward F. Gehringer
2023A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing.
Nischal Ashok Kumar, Wanyong Feng, Jaewook Lee, Hunter McNichols, Aritra Ghosh, Andrew S. Lan
2023A Data Mining Approach for Detecting Collusion in Unproctored Online Exams.
Janine Langebein, Till Massing, Jens Klenke, Michael Striewe, Michael Goedicke, Christoph Hanck, Natalie Reckmann
2023A Multimodal Language Learning System for Chinese Character Using Foundation Model.
Jinglei Yu, Zitao Liu, Mi Tian, Deliang Wang, Yu Lu
2023A Trace-Based Generalized Multimodal SRL Framework for Reading-Writing Tasks.
Debarshi Nath, Dragan Gasevic, Ramkumar Rajendran
2023A comparative analysis of the cognitive levels of Science and Mathematics secondary school board examination questions in India.
Anirban Roy Chowdhury, Nandagopal K. S., Vijay Prakash, Syaamantak Das
2023An Analysis of Diffusion of Teacher-curated Resources on Pinterest.
Hamid Karimi, Kaitlin Torphy Knake, Kenneth A. Frank
2023Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course.
Muntasir Hoq, Peter Brusilovsky, Bita Akram
2023Analyzing Team Cognition and Combined Efficacy In Makerspaces Using Multimodal Data.
K. Nisumba Soodhani
2023Analyzing the impact of metacognition prompts on learning in CBLE.
Jyoti Shaha, Ramkumar Rajendran
2023Auto-scoring Student Responses with Images in Mathematics.
Sami Baral, Anthony Botelho, Abhishek Santhanam, Ashish Gurung, Li Cheng, Neil T. Heffernan
2023Automated Identification and Validation of the Optimal Number of Knowledge Profiles in Student Response Data.
Brad Din, Tanya Nazaretsky, Yael Feldman-Maggor, Giora Alexandron
2023Automated Search for Logistic Knowledge Tracing Models.
Philip I. Pavlik Jr., Luke G. Eglington
2023Can ChatGPT Detect Student Talk Moves in Classroom Discourse? A Preliminary Comparison with Bert.
Deliang Wang, Dapeng Shan, Yaqian Zheng, Kai Guo, Gaowei Chen, Yu Lu
2023Can the Paths of Successful Students Help Other Students With Their Course Enrollments?
Kerstin Wagner, Agathe Merceron, Petra Sauer, Niels Pinkwart
2023Can't Inflate Data? Let the Models Unite and Vote: Data-agnostic Method to Avoid Overfit with Small Data.
Machi Shimmei, Noboru Matsuda
2023Characterizing Learning Progress of Problem-Solvers Using Puzzle-Solving Log Data.
Haoyu Liu, Fan-Yun Sun, Frieda Rong, Kumiko Nakajima, Nicholas Haber, Shima Salehi
2023Clustering to define interview participants for analyzing student feedback: a case of Legends of Learning.
Ayaz Karimov, Mirka Saarela, Tommi Kärkkäinen
2023Course Concepts: How Readable Are They for ESL Learners?
Yo Ehara
2023Data Driven Online Training Program for Education Robotics Competition.
Suprabha Jadhav, Sridhar Iyer, Kavi Arya
2023Data Efficient Machine Learning for Educational Content Creation.
Ganesh Ramakrishnan, Ayush Maheshwari
2023Designing a Learning Environment to Foster Critical Thinking.
Ram Das Rai
2023Discovering prerequisite relationships between knowledge components from an interpretable learner model.
Olivier Allègre, Amel Yessad, Vanda Luengo
2023Early Prediction of Student Performance in a Health Data Science MOOC.
Narjes Rohani, Kobi Gal, Michael Gallagher, Areti Manataki
2023Effective Evaluation of Online Learning Interventions with Surrogate Measures.
Ethan Prihar, Kirk Vanacore, Adam Sales, Neil T. Heffernan
2023Evaluating Quadratic Weighted Kappa as the Standard Performance Metric for Automated Essay Scoring.
Afrizal Doewes, Nughthoh Arfawi Kurdhi, Akrati Saxena
2023Explainable models for feedback design: An argumentative writing example.
Antonette Shibani, Ratnavel Rajalakshmi, Srivarshan Selvaraj, Faerie Mattins, Dhivya Chinnappa
2023Exploring students' learning processes by logging and analyzing their interaction behavior in a Virtual Reality learning environment.
Antony Prakash
2023Exploring the Implementation of NLP Topic Modeling for Understanding the Dynamics of Informal Learning in an AI Painting Community.
Ran Bi, Shiyao Wei
2023Exploring the effectiveness of Vocabulary Proficiency Diagnosis Using Linguistic Concept and Skill Modeling.
Boxuan Ma, Gayan Prasad Hettiarachchi, Sora Fukui, Yuji Ando
2023Fast Dynamic Difficulty Adjustment for Intelligent Tutoring Systems with Small Datasets.
Anan Schütt, Tobias Huber, Ilhan Aslan, Elisabeth André
2023Fostering Interaction in Computer-Supported Collaborative Learning Environment.
Pratiksha Virendra Patil, Ashwin T. S., Ramkumar Rajendran
2023Generalizing Predictive Models of Reading Ability in Adaptive Mathematics Software.
Husni Almoubayyed, Stephen Fancsali, Steven Ritter
2023Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models.
Tung Phung, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares
2023Help Me Read! Expanding Students' Reading with Wikipedia Articles.
Arun Balajiee Lekshmi Narayanan, Khushboo Thaker, Peter Brusilovsky, Jordan Barria-Pineda
2023How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference.
Aaron Haim, Robert Gyurcsan, Chris Baxter, Stacy T. Shaw, Neil T. Heffernan
2023How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining Community.
Aaron Haim, Stacy T. Shaw, Neil T. Heffernan
2023In Search of Negative Moments: Multi-Modal Analysis of Teacher Negativity in Classroom Observation Videos.
Zilin Dai, Andrew A. McReynolds, Jacob Whitehill
2023Introduction to Neural Networks and Uses in EDM.
Agathe Merceron, Ange Tato
2023Investigating teams' Socially Shared Metacognitive Regulation (SSMR) and transactivity in project-based computer supported collaborative learning environment.
Vishwas Badhe, Chandan Dasgupta, Ramkumar Rajendran
2023Investigating the Importance of Demographic Features for EDM-Predictions.
Lea Cohausz, Andrej Tschalzev, Christian Bartelt, Heiner Stuckenschmidt
2023Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models.
Mélina Verger, Sébastien Lallé, François Bouchet, Vanda Luengo
2023KC-Finder: Automated Knowledge Component Discovery for Programming Problems.
Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes, Thomas W. Price
2023Knowledge Tracing Over Time: A Longitudinal Analysis.
Morgan P. Lee, Ethan A. Croteau, Ashish Gurung, Anthony F. Botelho, Neil T. Heffernan
2023LECTOR: An attention-based model to quantify e-book lecture slides and topics relationships.
Erwin D. López Z., Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
2023Learning Problem Decomposition-Recomposition with Data-driven Chunky Parsons Problems within an Intelligent Logic Tutor.
Preya Shabrina, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi, Tiffany Barnes
2023Learning through Wikipedia and Generative AI Technologies.
Praveen Garimella, Vasudeva Varma
2023Measuring Similarity between Manual Course Concepts and ChatGPT-generated Course Concepts.
Yo Ehara
2023Meta-Learning for Better Learning: Using Meta-Learning Methods to Automatically Label Exam Questions with Detailed Learning Objectives.
Amir Zur, Isaac Applebaum, Jocelyn Nardo, Dory DeWeese, Sameer Sundrani, Shima Salehi
2023Mining Detailed Course Transaction Records for Semantic Information.
Yinuo Xu, Zachary A. Pardos
2023Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions.
Mengxue Zhang, Neil T. Heffernan, Andrew S. Lan
2023Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts.
Tianze Shou, Conrad Borchers, Shamya Karumbaiah, Vincent Aleven
2023Partner Keystrokes can Predict Attentional States during Chat-based Conversations.
Vishal Kiran Kuvar, Lauren E. Flynn, Laura K. Allen, Caitlin Mills
2023Pre-selecting Text Snippets to provide formative Feedback in Online Learning.
Sylvio Rüdian, Clara Schumacher, Jakub Kuzilek, Niels Pinkwart
2023Predicting Bug Fix Time in Students' Programming with Deep Language Models.
Stav Tsabari, Avi Segal, Kobi Gal
2023Proceedings of the 16th International Conference on Educational Data Mining, EDM 2023, Bengaluru, India, July 11-14, 2023
Mingyu Feng, Tanja Käser, Partha P. Talukdar, Rakesh Agrawal, Y. Narahari, Mykola Pechenizkiy
2023Response Process Data in Educational and Psychological Assessment: A Scoping Review of Empirical Studies.
Guanyu Chen, Yan Liu
2023Scalable and Equitable Math Problem Solving Strategy Prediction in Big Educational Data.
Anup Shakya, Vasile Rus, Deepak Venugopal
2023Self-Assessment Task Processing Behavior of Students in Higher Education.
Regina Kasakowskij, Jörg M. Haake, Niels Seidel
2023Semantic Topic Chains for Modeling Temporality of Themes in Online Student Discussion Forums.
Harshita Chopra, Yiwen Lin, Mohammad Amin Samadi, Jacqueline G. Cavazos, Renzhe Yu, Spencer Jaquay, Nia Nixon
2023Sequencing Educational Content Using Diversity Aware Bandits.
Colton Botta, Avi Segal, Kobi Gal
2023Session-based Course Recommendation Frameworks using Deep Learning.
Md. Akib Zabed Khan, Agoritsa Polyzou
2023The Predictiveness of PFA is Improved by Incorporating the Learner's Correct Response Time Fluctuation.
Wei Chu, Philip I. Pavlik Jr.
2023The Right To Be Forgotten and Educational Data Mining: Challenges and Paths Forward.
Stephen Hutt, Sanchari Das, Ryan Baker
2023The impact of online educational platform on students' motivation and grades: the case of Khan Academy in the under-resourced communities.
Ayaz Karimov, Mirka Saarela, Tommi Kärkkäinen
2023Timing Matters: Inferring Educational Twitter Community Switching from Membership Characteristics.
Conrad Borchers, Lennart Klein, Hayden Johnson, Christian Fischer
2023To speak or not to speak, and what to speak, when doing task actions collaboratively.
Jauwairia Nasir, Aditi Kothiyal, Haoyu Sheng, Pierre Dillenbourg
2023Tool Usage and Efficiency in an Online Test.
Gyanesh Jain, Aditya Sharma, Nirmal Patel, Amit Anil Nanavati
2023Towards Automated Assessment of Scientific Explanations in Turkish using Language Transfer.
Tanya Nazaretsky, Haci Hasan Yolcu, Moriah Ariely, Giora Alexandron
2023Towards Generalizable Detection of Urgency of Discussion Forum Posts.
Valdemar Svábenský, Ryan Baker, Andrés Zambrano, Yishan Zou, Stefan Slater
2023Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning.
Jean Vassoyan, Jill-Jênn Vie, Pirmin Lemberger
2023Understanding Learners' Alternative Conceptions through Interaction Patterns During analogical reasoning.
Meera Pawar, Sahana Murthy
2023Understanding Revision Behavior in Adaptive Writing Support Systems for Education.
Luca Mouchel, Thiemo Wambsganss, Paola Mejia-Domenzain, Tanja Käser
2023Unfolding Learners' Response to Different Versions of Automated Feedback in a MOOC for Programming - A Sequence Analysis Approach.
Hagit Gabbay, Anat Cohen
2023Using Markov Matrix to Analyze Students' Strategies for Solving Parsons Puzzles.
Amruth N. Kumar
2023Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner Proficiency.
Yunsung Kim, Sreechan Sankaranarayanan, Chris Piech, Candace Thille
2023Visual representation of co-authorship with GPT-3: Studying human-machine interaction for effective writing.
Antonette Shibani, Ratnavel Rajalakshmi, Faerie Mattins, Srivarshan Selvaraj, Simon Knight