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ORCID14th EDM Workshops 2021 [virtual]
- Thomas W. Price, Sweet San Pedro:
Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), Held Virtually, 2021. CEUR Workshop Proceedings 3051, CEUR-WS.org 2021 - Max Fowler, Binglin Chen, Matthew West, Craig B. Zilles:
How productive are homework and elective practice? Applying a post hoc modeling of student knowledge in a large, introductory computing course (Full Paper). - Juan D. Pinto, Yingbin Zhang, Luc Paquette, Aysa Xuemo Fan:
Investigating Elements of Student Persistence in an Introductory Computer Science Course (Full Paper). - Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef:
Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints (Full Paper). - Mohsen Dorodchi, Alexandria Benedict, Erfan Al-Hossami, Andrew Quinn, Sandra Wiktor, Aileen Benedict, Mohammadali Fallahian:
Clustering Students' Short Text Reflections: A Software Engineering Course Case Study (Full Paper). - Wengran Wang, Gordon Fraser, Tiffany Barnes, Chris Martens, Thomas W. Price:
Execution-Trace-Based Feature Engineering To Enable Formative Feedback on Visual, Interactive Programs (Full Paper). - Cristina Villa-Torrano, Pankaj Chejara, Juan I. Asensio-Pérez, Yannis A. Dimitriadis, Miguel L. Bote-Lorenzo, Alejandra Martínez-Monés, Eduardo Gómez-Sánchez:
Dataset on an online collaborative learning situation in a computer networks course (Abstract). - Mostafa Mohammed, Clifford A. Shaffer:
Clickstream Data from a Formal Languages eTextbook (Abstract). - Andrew M. Olney, Scott D. Fleming:
JupyterLab Extensions for Blocks Programming, Self-Explanations, and HTML Injection (Abstract). - Alexander Hicks, Clifford A. Shaffer:
Containerizing an eTextbook Infrastructure (Abstract). - Hisamitsu Maeda, Barbara Ericson, Paramveer S. Dhillon:
Comparing Ebook Student Interactions With Test Scores: A Case Study Using CSAwesome (Work in Progress). - Spencer Yoder, Cansu Tatar, Ifeoluwa Aderemi, Sankalp Boorugu, Shiyan Jiang, Bita Akram:
Gaining Insight into Effective Teaching of AI Problem-Solving Through CSEDM: A Case Study (Work in Progress). - Poorvaja Penmetsa, Yang Shi, Thomas W. Price:
Investigate Effectiveness of Code Features in Knowledge Tracing Task on Novice Programming Course. (Work in Progress). - Vasile Rus, Kamil Akhuseyinoglu, Jeevan Chapagain, Lasang Jimba Tamang, Peter Brusilovsky:
Prompting for Free Self-Explanations Promotes Better Code Comprehension (Work In Progress). - Xiaoyu Wan, Jingwan Tang, Xiaofei Zhou, Zhen Bai:
Exploratory Process Analysis of Teacher Learning of AI Integration through Collaborative Design (Short Paper). - Denise Reis Costa:
LOGANShiny: An app for illustrating process data analysis from international large-scale assessments (Short Paper). - Aditya Sharma:
seqClustR: An R Package for Sequence Clustering (Short Paper). - Ruhan Circi, Manqian Liao, Chad Scott, Juanita Hicks:
Understanding Students' Problem-Solving Processes via Action Sequence Analyses (Short Paper). - Amruth N. Kumar:
Using Markov Transition Matrix to Analyze Parsons Puzzle Solutions (Short Paper). - Vasile Rus, Stephen E. Fancsali, Philip I. Pavlik Jr., Deepak Venugopal, Arthur C. Graesser, Steven Ritter, Dale Bowman, The L. D. I. Team:
The Learner Data Institute - Conceptualization: A Progress Report. - Stephen E. Fancsali, Hao Li, Steven Ritter:
Toward Scalable Improvement of Large Content Portfolios for Adaptive Instruction. - Susan Elswick, William Hendrick, Laura Baylot Casey:
ENGAGE: An API Capable Data Collection and Analysis System for Classroom Behavior. - Deepak Venugopal, Vasile Rus, Anup Shakya:
Neuro-Symbolic Models: A Scalable, Explainable Framework for Strategy Discovery from Big Edu-Data. - Leigh M. Harrell-Williams, Christian Mueller, Stephen Fancsali, Steven Ritter, Xiaofei Zhang, Deepak Venugopal:
The Nature of Achievement Goal Motivation Profiles: Exploring Situational Motivation in An Algebra-Focused Intelligent Tutoring System. - Andrew M. Olney:
Sentence Selection for Cloze Item Creation: A Standardized Task and Preliminary Results. - Anlan Du, Alexandra Plukis, Huzefa Rangwala:
Using Course Evaluations and Student Data to Predict Computer Science Student Success. - Yinkai Wang, Aowei Ding, Kaiyi Guan, Yuanqi Du:
Ensemble Machine Learning System for Student AcademicPerformance Prediction. - Dom Huh, Huzefa Rangwala:
Synthetic Embedding-based Data Generation Methods for Student Performance. - Haejin Lee, Paul Hur, Suma Bhat, Nigel Bosch:
Promoting Self-regulated Learning in Online Learning by Triggering Tailored Interventions. - Vedant Bahel, Seth Akonor Adjei, Ryan S. Baker:
Transferring an existing gaming detection model to different system using semi-supervised approach. - Sonia Cromp, Diane J. Litman:
Essay Revision and Corresponding Grade Change asCaptured by Text Similarity and Revision Purposes. - Rohini Das, Jiayi Zhang, Ryan S. Baker, Richard Scruggs:
A New Interpretation of Knowledge Tracing Models' Predictive Performance in Terms of the Cold Start Problem.
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