EDM

Publications

2023

Husni Almoubayyed, Stephen Fancsali, Steven Ritter
Generalizing Predictive Models of Reading Ability in Adaptive Mathematics Software. EDM (2023)
Harshita Chopra, Yiwen Lin, Mohammad Amin Samadi, Jacqueline G. Cavazos, Renzhe Yu, Spencer Jaquay, Nia Nixon
Semantic Topic Chains for Modeling Temporality of Themes in Online Student Discussion Forums. EDM (2023)
Aaron Haim, Robert Gyurcsan, Chris Baxter, Stacy T. Shaw, Neil T. Heffernan
How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference. EDM (2023)
Jinglei Yu, Zitao Liu, Mi Tian, Deliang Wang, Yu Lu
A Multimodal Language Learning System for Chinese Character Using Foundation Model. EDM (2023)
Yo Ehara
Course Concepts: How Readable Are They for ESL Learners? EDM (2023)
Haoyu Liu, Fan-Yun Sun, Frieda Rong, Kumiko Nakajima, Nicholas Haber, Shima Salehi
Characterizing Learning Progress of Problem-Solvers Using Puzzle-Solving Log Data. EDM (2023)
Vishal Kiran Kuvar, Lauren E. Flynn, Laura K. Allen, Caitlin Mills
Partner Keystrokes can Predict Attentional States during Chat-based Conversations. EDM (2023)
Stephen Hutt, Sanchari Das, Ryan Baker
The Right To Be Forgotten and Educational Data Mining: Challenges and Paths Forward. EDM (2023)
K. Nisumba Soodhani
Analyzing Team Cognition and Combined Efficacy In Makerspaces Using Multimodal Data. EDM (2023)
Jean Vassoyan, Jill-Jênn Vie, Pirmin Lemberger
Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning. EDM (2023)
Philip I. Pavlik Jr., Luke G. Eglington
Automated Search for Logistic Knowledge Tracing Models. EDM (2023)
Praveen Garimella, Vasudeva Varma
Learning through Wikipedia and Generative AI Technologies. EDM (2023)
Mengxue Zhang, Neil T. Heffernan, Andrew S. Lan
Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions. EDM (2023)
Kerstin Wagner, Agathe Merceron, Petra Sauer, Niels Pinkwart
Can the Paths of Successful Students Help Other Students With Their Course Enrollments? EDM (2023)
Sylvio Rüdian, Clara Schumacher, Jakub Kuzilek, Niels Pinkwart
Pre-selecting Text Snippets to provide formative Feedback in Online Learning. EDM (2023)
Colton Botta, Avi Segal, Kobi Gal
Sequencing Educational Content Using Diversity Aware Bandits. EDM (2023)
Muntasir Hoq, Peter Brusilovsky, Bita Akram
Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course. EDM (2023)
Nischal Ashok Kumar, Wanyong Feng, Jaewook Lee, Hunter McNichols, Aritra Ghosh, Andrew S. Lan
A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing. EDM (2023)
Yunsung Kim, Sreechan Sankaranarayanan, Chris Piech, Candace Thille
Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner Proficiency. EDM (2023)
Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes, Thomas W. Price
KC-Finder: Automated Knowledge Component Discovery for Programming Problems. EDM (2023)
Antonette Shibani, Ratnavel Rajalakshmi, Faerie Mattins, Srivarshan Selvaraj, Simon Knight
Visual representation of co-authorship with GPT-3: Studying human-machine interaction for effective writing. EDM (2023)
Preya Shabrina, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi, Tiffany Barnes
Learning Problem Decomposition-Recomposition with Data-driven Chunky Parsons Problems within an Intelligent Logic Tutor. EDM (2023)
Stav Tsabari, Avi Segal, Kobi Gal
Predicting Bug Fix Time in Students' Programming with Deep Language Models. EDM (2023)
Narjes Rohani, Kobi Gal, Michael Gallagher, Areti Manataki
Early Prediction of Student Performance in a Health Data Science MOOC. EDM (2023)
Meera Pawar, Sahana Murthy
Understanding Learners' Alternative Conceptions through Interaction Patterns During analogical reasoning. EDM (2023)
Gyanesh Jain, Aditya Sharma, Nirmal Patel, Amit Anil Nanavati
Tool Usage and Efficiency in an Online Test. EDM (2023)
Guanyu Chen, Yan Liu
Response Process Data in Educational and Psychological Assessment: A Scoping Review of Empirical Studies. EDM (2023)
Amruth N. Kumar
Using Markov Matrix to Analyze Students' Strategies for Solving Parsons Puzzles. EDM (2023)
Antonette Shibani, Ratnavel Rajalakshmi, Srivarshan Selvaraj, Faerie Mattins, Dhivya Chinnappa
Explainable models for feedback design: An argumentative writing example. EDM (2023)
Proceedings of the 16th International Conference on Educational Data Mining, EDM 2023, Bengaluru, India, July 11-14, 2023 EDM (2023)
Yinuo Xu, Zachary A. Pardos
Mining Detailed Course Transaction Records for Semantic Information. EDM (2023)
Zilin Dai, Andrew A. McReynolds, Jacob Whitehill
In Search of Negative Moments: Multi-Modal Analysis of Teacher Negativity in Classroom Observation Videos. EDM (2023)
Olivier Allègre, Amel Yessad, Vanda Luengo
Discovering prerequisite relationships between knowledge components from an interpretable learner model. EDM (2023)
Aaron Haim, Stacy T. Shaw, Neil T. Heffernan
How to Open Science: Promoting Principles and Reproducibility Practices within the Educational Data Mining Community. EDM (2023)
Tianze Shou, Conrad Borchers, Shamya Karumbaiah, Vincent Aleven
Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts. EDM (2023)
Pratiksha Virendra Patil, Ashwin T. S, Ramkumar Rajendran
Fostering Interaction in Computer-Supported Collaborative Learning Environment. EDM (2023)
Tanya Nazaretsky, Haci Hasan Yolcu, Moriah Ariely, Giora Alexandron
Towards Automated Assessment of Scientific Explanations in Turkish using Language Transfer. EDM (2023)
Afrizal Doewes, Nughthoh Arfawi Kurdhi, Akrati Saxena
Evaluating Quadratic Weighted Kappa as the Standard Performance Metric for Automated Essay Scoring. EDM (2023)
Ayaz Karimov, Mirka Saarela, Tommi Kärkkäinen
The impact of online educational platform on students' motivation and grades: the case of Khan Academy in the under-resourced communities. EDM (2023)
Arun Balajiee Lekshmi Narayanan, Khushboo Thaker, Peter Brusilovsky, Jordan Barria-Pineda
Help Me Read! Expanding Students' Reading with Wikipedia Articles. EDM (2023)
Hagit Gabbay, Anat Cohen
Unfolding Learners' Response to Different Versions of Automated Feedback in a MOOC for Programming - A Sequence Analysis Approach. EDM (2023)
M. Parvez Rashid, Divyang Doshi, Sai Venkata Vinay, Qinjin Jia, Edward F. Gehringer
"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. EDM (2023)
Tung Phung, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla, Gustavo Soares
Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models. EDM (2023)
Suprabha Jadhav, Sridhar Iyera, Kavi Aryaa
Data Driven Online Training Program for Education Robotics Competition. EDM (2023)
Ran Bi, Shiyao Wei
Exploring the Implementation of NLP Topic Modeling for Understanding the Dynamics of Informal Learning in an AI Painting Community. EDM (2023)
Ganesh Ramakrishnan, Ayush Maheshwari
Data Efficient Machine Learning for Educational Content Creation. EDM (2023)
Wei Chu, Philip I. Pavlik Jr.
The Predictiveness of PFA is Improved by Incorporating the Learner's Correct Response Time Fluctuation. EDM (2023)
Anirban Roy Chowdhury, Nandagopal K. S., Vijay Prakash, Syaamantak Das
A comparative analysis of the cognitive levels of Science and Mathematics secondary school board examination questions in India. EDM (2023)
Ayaz Karimov, Mirka Saarela, Tommi Kärkkäinen
Clustering to define interview participants for analyzing student feedback: a case of Legends of Learning. EDM (2023)
Debarshi Nath, Dragan Gasevic, Ramkumar Rajendran
A Trace-Based Generalized Multimodal SRL Framework for Reading-Writing Tasks. EDM (2023)