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