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14th EDM 2021 [virtual]
- Sharon I-Han Hsiao, Shaghayegh (Sherry) Sahebi, François Bouchet, Jill-Jênn Vie:
Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021, virtual, June 29 - July 2, 2021. International Educational Data Mining Society 2021
Full Papers
- Fareedah Alsaad, Thomas Reichel, Yuchen Zeng, Abdussalam Alawini:
Topic Transitions in MOOCs: An Analysis Study. EDM 2021 - Varun Mandalapu, Lujie Chen, Zhiyuan Chen, Jiaqi Gong:
Student-centric Model of Login Patterns: A Case Study with Learning Management Systems. EDM 2021 - Zhikai Gao, Collin F. Lynch, Sarah Heckman, Tiffany Barnes:
Automatically classifying student help requests: a multi-year analysis. EDM 2021 - Lele Sha, Mladen Rakovic, Alexander Whitelock-Wainwright, David Carroll, Dragan Gasevic, Guanliang Chen:
Which Hammer should I Use? A Systematic Evaluation of Approaches for Classifying Educational Forum Posts. EDM 2021 - Anup Shakya, Vasile Rus, Deepak Venugopal:
Student Strategy Prediction using a Neuro-Symbolic Approach. EDM 2021 - Kexin Bella Yang, Xuejian Wang, Vanessa Echeverría, LuEttaMae Lawrence, Kenneth Holstein, Nikol Rummel, Vincent Aleven:
SimPairing - Exploring Dynamic Pairing Policies through Historical Data Simulation and User-centered Research. EDM 2021 - Adam Sales, Ethan Prihar, Neil T. Heffernan, John Pane:
Estimating the Intelligent Tutor Effects on Specific Posttest Problems. EDM 2021 - Samiha Marwan, Yang Shi, Ian Menezes, Min Chi, Tiffany Barnes, Thomas W. Price:
Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming. EDM 2021 - Mengxue Zhang, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan:
Math Operation Embeddings for Open-ended Solution Analysis and Feedback. EDM 2021 - Chunpai Wang, Siqian Zhao, Shaghayegh Sahebi:
Learning from Non-Assessed Resources: Deep Multi-Type Knowledge Tracing. EDM 2021 - Sami Baral, Anthony F. Botelho, John A. Erickson, Priyanka Benachamardi, Neil T. Heffernan:
Improving Automated Scoring of Student Open Responses in Mathematics. EDM 2021 - Mirko Marras, Julien Tuan Tu Vignoud, Tanja Käser:
Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses. EDM 2021 - Jeffrey Matayoshi, Shamya Karumbaiah:
Investigating the Validity of Methods Used to Adjust for Multiple Comparisons in Educational Data Mining. EDM 2021 - Ye Mao, Yang Shi, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi:
Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks. EDM 2021 - Guillaume Cleuziou, Frédéric Flouvat:
Learning student program embeddings using abstract execution traces. EDM 2021 - Jade Cock, Mirko Marras, Christian Giang, Tanja Käser:
Early Prediction of Conceptual Understanding in Interactive Simulations. EDM 2021 - Samuel L. Pugh, Shree Krishna Subburaj, Arjun Ramesh Rao, Angela Stewart, Jessica Andrews-Todd, Sidney D'Mello:
Say What? Automatic Modeling of Collaborative Problem Solving Skills from Student Speech in the Wild. EDM 2021 - Benjamin Nye, Mark G. Core, Shikhar Jaiswal, Aviroop Ghosal, Daniel Auerbach:
Acting Engaged: Leveraging Player Persona Archetypes for Semi-Supervised Classification of Engagement. EDM 2021 - Ali Malik, Mike Wu, Vrinda Vasavada, Jinpeng Song, Madison Coots, John Mitchell, Noah D. Goodman, Chris Piech:
Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems. EDM 2021 - Nathan L. Henderson, Wookhee Min, Andrew Emerson, Jonathan P. Rowe, Seung Y. Lee, James Minogue, James C. Lester:
Early Prediction of Museum Visitor Engagement with Multimodal Adversarial Domain Adaptation. EDM 2021 - Marina Delianidi, Konstantinos I. Diamantaras, George Chrysogonidis, Vasileios Nikiforidis:
Student Performance Prediction Using Dynamic Neural Models. EDM 2021 - Minsam Kim, Yugeun Shim, Seewoo Lee, Hyunbin Loh, Juneyoung Park:
Behavioral Testing of Deep Knowledge Tracing Models. EDM 2021
Short Papers
- Nilanjana Chakraborty, Samrat Roy, Walter L. Leite, George Michailidis:
The effects of a personalized recommendation system on students' high-stakes achievement scores: A field experiment. EDM 2021 - Byungsoo Kim, Hangyeol Yu, Dongmin Shin, Youngduck Choi:
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction. EDM 2021 - Haydée Guillot Jiménez, Anna Carolina Finamore, Marco Antonio Casanova, Gonçalo Simões:
Sentiment Analysis of Student Surveys - A Case Study on Assessing the Impact of the COVID-19 Pandemic on Higher Education Teaching. EDM 2021 - Hasan Tanvir, Irene-Angelica Chounta:
Exploring the Importance of Factors Contributing to Dropouts in Higher Education Over Time. EDM 2021 - Arabella Sinclair, Bertrand Schneider:
Linguistic and Gestural Coordination: Do Learners Converge in Collaborative Dialogue? EDM 2021 - Afrizal Doewes, Mykola Pechenizkiy:
On the Limitations of Human-Computer Agreement in Automated Essay Scoring. EDM 2021 - Menna Fateen, Tsunenori Mine:
Predicting Student Performance Using Teacher Observation Reports. EDM 2021 - Tao Huang, Mengyi Liang, Huali Yang, Zhi Li, Tao Yu, Shengze Hu:
Context-aware knowledge tracing integrated with the exercise representation and association in mathematics. EDM 2021 - Frank Höppner:
Grouping Source Code by Solution Approaches - Improving Feedback in Programming Courses. EDM 2021 - Ekaterina Loginova, Dries F. Benoit:
Embedding navigation patterns for student performance prediction. EDM 2021 - Guangyuan Piao:
Recommending Knowledge Concepts on MOOC Platforms with Meta-path-based Representation Learning. EDM 2021 - Anastasia Kovalkov, Benjamin Paassen, Avi Segal, Kobi Gal, Niels Pinkwart:
Modeling Creativity in Visual Programming: From Theory to Practice. EDM 2021 - Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi:
Fair-Capacitated Clustering. EDM 2021 - Ethan Prihar, Neil T. Heffernan:
A Novel Algorithm for Aggregating Crowdsourced Opinions. EDM 2021 - Anirudhan Badrinath, Frédéric Wang, Zachary A. Pardos:
pyBKT: An Accessible Library of Bayesian Knowledge Tracing Models. EDM 2021 - Leonardo J. Vida, Maria Bolsinova, Matthieu J. S. Brinkhuis:
Speeding up without Loss of Accuracy: Item Position Effects on Examinees' Performance in University Exams. EDM 2021 - Qiao Zhang, Christopher MacLellan:
Going Online: A simulated student approach for evaluating knowledge tracing in the context of mastery learning. EDM 2021 - Kimberly Williamson, René F. Kizilcec:
Effects of Algorithmic Transparency in Bayesian Knowledge Tracing on Trust and Perceived Accuracy. EDM 2021 - Mo Zhang, Hongwen Guo, Xiang Li:
Using Keystroke Analytics to Understand Cognitive Processes during Writing. EDM 2021 - Joy He-Yueya, Adish Singla:
Quizzing Policy Using Reinforcement Learning for Inferring the Student Knowledge State. EDM 2021 - Qian Wan, Scott A. Crossley, Michelle P. Banawan, Renu Balyan, Danielle S. McNamara, Laura K. Allen:
Automated Claim Identification Using NLP Features in Student Argumentative Essays. EDM 2021 - Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer:
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments. EDM 2021 - Sylvio Rüdian, Niels Pinkwart:
Finding the optimal topic sequence for online courses using SERPs as a Proxy. EDM 2021 - Florian Sense, Michael Krusmark, Joshua Fiechter, Michael G. Collins, Lauren Sanderson, Joshua Onia, Tiffany S. Jastrzembski:
Combining Cognitive and Machine Learning Models to Mine CPR Training Histories for Personalized Predictions. EDM 2021 - Pan Deng, Jianjun Zhou, Jing Lyu, Zitong Zhao:
Assessing attendance by peer information. EDM 2021 - Théo Barollet, Florent Bouchez-Tichadou, Fabrice Rastello:
Do Common Educational Datasets contain Static Information? A Statistical Study. EDM 2021 - Christopher J. MacLellan, Adit Gupta:
Learning Expert Models for Educationally Relevant Tasks using Reinforcement Learning. EDM 2021 - Yuhao Zhou, Xihua Li, Yunbo Cao, Xuemin Zhao, Qing Ye, Jiancheng Lv:
LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences. EDM 2021 - Neisarg Dave, Riley Owen Bakes, Bart Pursel, C. Lee Giles:
Math Question Solving and MCQ Distractor Generation with attentional GRU Networks. EDM 2021 - Stephen Fancsali, Hao Li, Michael Sandbothe, Steven Ritter:
Targeting Design-Loop Adaptivity. EDM 2021 - Chang Lu, Maria Cutumisu:
Integrating Deep Learning into An Automated Feedback Generation System for Automated Essay Scoring. EDM 2021 - Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Nigel Bosch, Luc Paquette, Gautam Biswas, Ryan Baker:
Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning. EDM 2021 - Aubrey Condor, Max Litster, Zachary A. Pardos:
Automatic short answer grading with SBERT on out-of-sample questions. EDM 2021 - Yang Shi, Ye Mao, Tiffany Barnes, Min Chi, Thomas W. Price:
More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code. EDM 2021 - Napol Rachatasumrit, Kenneth R. Koedinger:
Toward Improving Student Model Estimates through Assistance Scores in Principle and in Practice. EDM 2021 - Cheng-Yu Chung, I-Han Hsiao:
From Detail to Context: Modeling Distributed Practice Intensity and Timing by Multiresolution Signal Analysis. EDM 2021 - Nathalie Rzepka, Hans-Georg Müller, Katharina Simbeck:
What you apply is not what you learn! Examining students' strategies in German capitalization tasks. EDM 2021 - Jaroslav Cechák, Radek Pelánek:
Experimental Evaluation of Similarity Measures for Educational Items. EDM 2021 - Adam M. Gaweda, Collin F. Lynch:
Student Practice Sessions Modeled as ICAP Activity Silos. EDM 2021 - Yihuan Dong, Samiha Marwan, Preya Shabrina, Tiffany Barnes, Thomas W. Price:
Using Student Trace Logs To Determine Meaningful Progress and Struggle During Programming Problem Solving. EDM 2021 - Benjamin Paaßen, Andreas Bertsch, Katharina Langer-Fischer, Sylvio Rüdian, Xia Wang, Rupali Sinha, Jakub Kuzilek, Stefan Britsch, Niels Pinkwart:
Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks. EDM 2021 - Emiko Tsutsumi, Ryo Kinoshita, Maomi Ueno:
Deep-IRT with independent student and item networks. EDM 2021 - Erla Guðrún Sturludóttir, Eydís Arnardóttir, Gísli Hjálmtýsson, María Óskarsdóttir:
Gaining Insights on Student Course Selection in Higher Education with Community Detection. EDM 2021 - J. Walker Orr, Nathaniel Russell:
Automatic Assessment of the Design Quality of Python Programs with Personalized Feedback. EDM 2021
Poster Papers
- Sylvio Rüdian, Niels Pinkwart:
Using Data Quality to compare the Prediction Accuracy based on diverse annotated Tutor Scorings. EDM 2021 - Ikenna Osakwe, Alexander Whitelock-Wainwright, Guanliang Chen, Rafael Ferreira Mello, Anderson Pinheiro Cavalcanti, Dragan Gasevic:
Towards automated content analysis of feedback: A multi-language study. EDM 2021 - Saad Khan, Jesse Hamer, Tiago Almeida:
Generate: A NLG system for educational content creation. EDM 2021 - Sanaz Nazari, Walter L. Leite, Anne Corinne Huggins-Manley:
Detecting Careless Responding to Assessment Items in a Virtual Learning Environment Using Person-fit Indices and Random Forest. EDM 2021 - Michelle P. Banawan, Renu Balyan, Jinnie Shin, Walter L. Leite, Danielle S. McNamara:
Linguistic Features of Discourse within an Algebra Online Discussion Board. EDM 2021 - Ajay Kulkarni, Olga Gkountouna:
Demonstrating REACT: a Real-time Educational AI-powered Classroom Tool. EDM 2021 - Thomas Sergent, Morgane Daniel, François Bouchet, Thibault Carron:
Predicting Young Students' Self-Regulated Learning Deficits Through Their Activity and Self-Evaluation Traces. EDM 2021 - Jin Eun Yoo, Minjeong Rho:
LMS Log Data Analysis from Fully-Online Flipped Classrooms: An Exploratory Case Study via Regularization. EDM 2021 - Saad Khan, Joshua Rosaler, Jesse Hamer, Tiago Almeida:
Catalog: An educational content tagging system. EDM 2021 - Wengran Wang, Gordon Fraser, Tiffany Barnes, Chris Martens, Thomas W. Price:
Execution Trace Based Feature Engineering To Enable Formative Feedback on Visual, Interactive Programs. EDM 2021 - Daniel D. Leeds, Tianyi Zhang, Gary Weiss:
Mining Course Groupings based on Academic Performance. EDM 2021 - Effat Farhana, Andrew Potter, Teomara Rutherford, Collin F. Lynch:
Feedback and Self-Regulated Learning in Science Reading. EDM 2021 - Scott A. Crossley, Aron Heintz, Joon Suh Choi, Jordan Batchelor, Mehrnoush Karimi, Agnes Malatinszky:
The CommonLit Ease of Readability (CLEAR) Corpus. EDM 2021 - Tess Gutenbrunner, Daniel D. Leeds, Spencer Ross, Michael Riad-Zaky, Gary Weiss:
Measuring the Academic Impact of Course Sequencing using Student Grade Data. EDM 2021 - Shivangi Chopra, Lukasz Golab:
Analyzing Ranking Strategies to Characterize Competition for Co-Operative Work Placements. EDM 2021 - Edwin Chng, Stephanie Yang, Gahyun Sung, Tyler Yoo, Bertrand Schneider:
Leveraging Survey and Motion Sensors Data to Promote Gender Inclusion in Makerspaces. EDM 2021 - Seewoo Lee, Kyu Seok Kim, Jamin Shin, Juneyoung Park:
Tracing Knowledge for Tracing Dropouts: Multi-Task Training for Study Session Dropout Prediction. EDM 2021 - Li-Hsin Chang, Iiro Rastas, Jenna Kanerva, Valtteri Skantsi, Sampo Pyysalo, Filip Ginter:
Deep learning for sentence clustering in essay grading support. EDM 2021 - Maarten van der Velde, Florian Sense, Rinske Spijkers, Martijn Meeter, Hedderik van Rijn:
Lockdown Learning: Changes in Online Study Activity and Performance of Dutch Secondary School Students during the COVID-19 Pandemic. EDM 2021 - Ahmad Slim, Gregory L. Heileman, Chaouki T. Abdallah, Ameer Slim, Najem N. Sirhan:
Restructuring Curricular Patterns Using Bayesian Networks. EDM 2021 - Nicholas C. Hunkins, Emily Jensen, Sidney K. D'Mello:
Improving Automated Teacher Discourse Classification via Automated Reliability Modeling. EDM 2021 - Maliha Mahbub, Najia Manjur, Mahjabin Alam, Julita Vassileva:
Analysis of Factors Influencing User Contribution and Predicting Involvement of Users on Stack Overflow. EDM 2021 - Philip I. Pavlik Jr., Luke Eglington, Liang Zhang:
Automatic Domain Model Creation and Improvement. EDM 2021 - Conrad Borchers, Joshua Rosenberg, Benjamin Gibbons, Macy Alana Burchfield, Christian Fischer:
To Scale or Not to Scale: Comparing Popular Sentiment Analysis Dictionaries on Educational Twitter Data. EDM 2021 - Dimitrios Tzimas, Stavros N. Demetriadis:
The Impact of Learning Analytics on Student Performance and Satisfaction in a Higher Education Course. EDM 2021 - Yufei Gu, Kun Xu:
Sex-Related Behavioral Differences in Online Math Classes: An Epistemic Network Analysis. EDM 2021 - Sonja Johnson-Yu, Nicholas Bowman, Mehran Sahami, Chris Piech:
SimGrade: Using Code Similarity Measures for More Accurate Human Grading. EDM 2021 - Gary Weiss, Nam Nguyen, Karla Dominguez, Daniel D. Leeds:
Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments. EDM 2021 - Ryusuke Murata, Tsubasa Minematsu, Atsushi Shimada:
Early Detection of At-risk Students based on Knowledge Distillation RNN Models. EDM 2021 - Macy Burchfield, Joshua Rosenberg, Conrad Borchers, Tayla Thomas, Benjamin Gibbons, Christian Fischer:
Are Violations of Student Privacy "Quick and Easy"? Investigating the Privacy of Students' Images and Names in the Context of K-12 Educational Institution's Posts on Facebook. EDM 2021 - Jing Zhang, Teresa M. Ober, Yang Jiang, Jan Plass, Bruce D. Homer:
Predicting Executive Functions in a Learning Game: Accuracy and Reaction Time. EDM 2021 - Lujie Chen, David Gerritsen:
Classroom Analytics for the Teacher, by the Teacher: Building Interpretable Descriptors for Student Posture Analysis in a Physical Classroom. EDM 2021 - Rebecca Watson, Ekaterina Kochmar:
A New Readability Assessment Tool. EDM 2021 - Lan Jiang, Nigel Bosch:
Predictive Sequential Pattern Mining via Interpretable Convolutional Neural Networks. EDM 2021 - Juho Leinonen, Francisco Enrique Vicente Castro, Arto Hellas:
Fine-Grained Versus Coarse-Grained Data for Estimating Time-on-Task in Learning Programming. EDM 2021 - Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar:
Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles. EDM 2021 - John A. Erickson, Anthony F. Botelho, Zonglin Peng, Rui Huang, Meghana V. Kasal, Neil T. Heffernan:
Is It Fair? Automated Open Response Grading. EDM 2021 - Jingrong Feng, Jack Mostow:
Towards Difficulty Controllable Selection of Next-Sentence Prediction Questions. EDM 2021 - Androniki Sapountzi, Sandjai Bhulai, Ilja Cornelisz, Chris van Klaveren:
Analysis of stopping criteria for Bayesian Adaptive Mastery Assessment. EDM 2021 - Mohammad S. Parsa, Lukasz Golab:
Academic Integrity in Online Education during the COVID-19 Pandemic: a Social Media Mining Study. EDM 2021 - Manqian Liao, Yigal Attali, Alina A. von Davier:
AQuAA: Analytics for Quality Assurance in Assessment. EDM 2021 - Yingbin Zhang, Luc Paquette:
Mining sequential patterns with high usage variation. EDM 2021 - Jiayi Zhang, Rohini Das, Ryan S. Baker, Richard Scruggs:
The Cold Start Problem and Interpretation of Knowledge Tracing Models' Predictive Performance. EDM 2021 - Bruno Mota da Silva, Cláudia Antunes:
Recommendation System for Engineering Programs Candidates. EDM 2021 - Pichayut Liamthong, Jacob Whitehill:
Text Representations of Math Tutorial Videos forClustering, Retrieval, and Learning Gain Prediction. EDM 2021
JEDM Papers
- Lujie Karen Chen, Joseph D. Ramsey, Artur Dubrawski:
Affect, Support and Personal Factors: Multimodal Causal Models of One-on-one Coaching. EDM 2021 - Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef:
ast2vec: Utilizing Recursive Neural Encodings of Python Programs. EDM 2021 - Benoît Choffin, Fabrice Popineau, Yolaine Bourda:
Extending Adaptive Spacing Heuristics to MultiSkill Items. EDM 2021
Doctoral Consortium Papers
- Tai Le Quy, Eirini Ntoutsi:
Towards fair, explainable and actionable clustering for learning analytics. EDM 2021 - Raquel Horta-Bartomeu, Olga C. Santos:
A Time-Aware Approach to Detect Patterns and Predict Help-Seeking Behaviour in Adaptive Educational Systems. EDM 2021 - Julian Langenhagen:
Mixed Data Sampling in Learning Analytics. EDM 2021 - Romaric Bassole, Frédéric Tounwendyam Ouédraogo, Laurence Capus:
Towards a Conception and Integration of an Educational Social Network into an Institutional Learning Platform. EDM 2021
Industry Papers
- Jaesuk Park:
Online Estimation of Student Ability and Item Difficulty with Glicko-2 Rating System on Stratified Data. EDM 2021 - Varun Sabnis, Kumar Abhinav, Venkatesh Subramania, Alpana Dubey, Padmaraj Bhat:
UPreG: An Unsupervised approach for building the Concept Prerequisite Graph. EDM 2021 - Øistein E. Andersen, Rebecca Watson, Zheng Yuan, Kevin Yet Fong Cheung:
Benefits of alternative evaluation methods for Automated Essay Scoring. EDM 2021 - Lucy Portnoff, Erin Gustafson, Joseph Rollinson, Klinton Bicknell:
Methods for Language Learning Assessment at Scale: Duolingo Case Study. EDM 2021
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