| 2020 | "Hello, [REDACTED]": Protecting Student Privacy in Analyses of Online Discussion Forums. Nigel Bosch, R. Wes Crues, Najmuddin Shaik, Luc Paquette |
| 2020 | A Dataset of Learnersourced Explanations from an Online Peer Instruction Environment. Sameer Bhatnagar, Michel C. Desmarais, Amal Zouaq, Elizabeth S. Charles |
| 2020 | A Procrastination Index for Online Learning Based on Assignment Start Time. Lalitha Agnihotri, Ryan Baker, Steve Stalzer |
| 2020 | A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions. Yijun Zhao, Bryan Lackaye, Jennifer G. Dy, Carla E. Brodley |
| 2020 | A method for generating features representing the students' degree of anticipation/delay to complete assignments. Francisco Cervera, Juan Alfonso Lara |
| 2020 | An EDM-based Multimodal Method for Assessing Learners' Affective States in Collaborative Crisis Management Serious Games. Ibtissem Daoudi, Erwan Tranvouez, Raoudha Chebil, Bernard Espinasse, Wided Lejouad Chaari |
| 2020 | An Empirical Analysis of Skewed Temporal Data for Distribution-based Course Similarity. Tao Xie, Chaohua Gong, Geping Liu |
| 2020 | An effect-size-based temporal interestingness metric for sequential pattern mining. Yingbin Zhang, Luc Paquette |
| 2020 | Analyzing Student Procrastination in MOOCs: A Multivariate Hawkes Approach. Mengfan Yao, Shaghayegh Sahebi, Reza Feyzi-Behnagh |
| 2020 | Analyzing Student Strategies In Blended Courses Using Clickstream Data. Nil-Jana Akpinar, Aaditya Ramdas, Umut A. Acar |
| 2020 | Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling. Clarence Chen, Zachary A. Pardos |
| 2020 | Are You Really a Team Player?: Profiles of collaborative problem solvers in an online environment. Carol Forsyth, Jessica Andrews-Todd, Jonathan Steinberg |
| 2020 | Assessing Student Contributions in Wiki-based Collaborative Writing System. Tianyu Hu, Guangzhong Sun, Zhongtian Xu |
| 2020 | Auto generation of diagnostic assessments and their quality evaluation. Soma S. Dhavala, Chirag Bhatia, Joy Bose, Keyur Faldu, Aditi Avasthi |
| 2020 | Automated Assessment of Computer Science Competencies from Student Programs with Gaussian Process Regression. Bita Akram, Hamoon Azizsoltani, Wookhee Min, Eric N. Wiebe, Bradford W. Mott, Anam Navied, Kristy Elizabeth Boyer, James C. Lester |
| 2020 | Automatic Subject-based Contextualisation of Programming Assignment Lists. Samuel C. Fonseca, Filipe Dwan Pereira, Elaine H. T. Oliveira, David Fernandes, Leandro S. G. Carvalho, Alexandra I. Cristea |
| 2020 | Building Test Recommender Systems for e-Learning Systems. Oana Maria Teodorescu |
| 2020 | CSCLRec: Personalized Recommendation of Forum Posts to Support Socio-collaborative Learning. Zhaorui Chen, Carrie Demmans Epp |
| 2020 | Can we Take Advantage of Time-Interval Pattern Mining to Model Students Activity? Oriane Dermy, Armelle Brun |
| 2020 | Claim Detection and Relationship with Writing Quality. Qian Wan, Scott A. Crossley, Laura K. Allen, Danielle S. McNamara |
| 2020 | Comparing and combining tests for plagiarism detection in online exams. Edward F. Gehringer, Xiaohan Liu, Abhirav Kariya, Guoyi Wang |
| 2020 | Confident Learning Curves in Additive Factor Modeling. Cyril Goutte, Guillaume Durand |
| 2020 | Course Recommendation for University Environment. Boxuan Ma, Yuta Taniguchi, Shin'ichi Konomi |
| 2020 | Course Recommender Systems with Statistical Confidence. Zachary Warnes, Magnus Kinder, Evgueni N. Smirnov |
| 2020 | Crowd-sourcing and Automatic Generation of Semantic Information in Blended-Learning Environments. Elad Yacobson |
| 2020 | Curriculum profile: modelling the gaps between curriculum and the job market. Aleksandr Gromov, Andrei Maslennikov, Nikolas Dawson, Katarzyna Musial, Kirsty Kitto |
| 2020 | Data Efficient Educational Assessment via Multi-Dimensional Pairwise Comparisons. Hyunbin Loh, Piljae Chae, Chanyou Hwang |
| 2020 | Decomposition of Response Time to Give Better Predictions of Children's Reading Comprehension. Zhila Aghajari, Deniz Sonmez Unal, Mesut Erhan Unal, Ligia Gómez, Erin Walker |
| 2020 | Deep Embeddings of Contextual Assessment Data for Improving Performance Prediction. Benjamin Clavié, Kobi Gal |
| 2020 | Detecting Problem Statements in Peer Assessments. Yunkai Xiao, Gabriel Zingle, Qinjin Jia, Harsh R. Shah, Yi Zhang, Tianyi Li, Mohsin Karovaliya, Weixiang Zhao, Yang Song, Jie Ji, Ashwin Balasubramaniam, Harshit Patel, Priyankha Bhalasubbramanian, Vikram Patel, Edward F. Gehringer |
| 2020 | Developing Curriculum Analytics and Student Social Networking for Graduate Employability Model. Aleksandr Gromov |
| 2020 | Differential Responses to Personalized Learning Recommendations Revealed by Event-Related Analysis. Kevin Dieter, Jamie Studwell, Kirk Vanacore |
| 2020 | Discovering the Prerequisite Relationships Among Instructional Videos From Subtitles. Mehmet Cem Aytekin, Stefan Räbiger, Yücel Saygin |
| 2020 | Does autonomy help Help? The impact of unsolicited hints and choice on help avoidance and learning. Christa Cody, Mehak Maniktala, David Warren, Min Chi, Tiffany Barnes |
| 2020 | Dynamic Knowledge Embedding and Tracing. Liangbei Xu, Mark A. Davenport |
| 2020 | Dynamic knowledge tracing through data driven recency weights. Deepak Agarwal, Ryan Baker, Anupama Muraleedharan |
| 2020 | EAnalyst: Toward Understanding Large-scale Educational Data. Tao Huang, Zhi Li, Hao Zhang, Huali Yang, Hekun Xie |
| 2020 | EDM and Privacy: Ethics and Legalities of Data Collection, Usage, and Storage. Mark Klose, Vasvi Desai, Yang Song, Edward F. Gehringer |
| 2020 | Educational Data Mining and Personalized Support in Online Introductory Physics Courses. Farook Al-Shamali, Hongxin Yan, Sabine Graf, Fuhua Lin |
| 2020 | Effective Forum Curation via Multi-task Learning. Faeze Brahman, Nikhil Varghese, Suma Bhat, Snigdha Chaturvedi |
| 2020 | Enhancing Student Competency Models for Game-Based Learning with a Hybrid Stealth Assessment Framework. Nathan L. Henderson, Vikram Kumara, Wookhee Min, Bradford W. Mott, Ziwei Wu, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric N. Wiebe, James C. Lester |
| 2020 | Erroneous Answers Categorization for Sketching Questions in Spatial Visualization Training. Tiffany Wenting Li, Luc Paquette |
| 2020 | Estimation for cognitive load in Video-based learning through Physiological Data and Subjective Measurement by Video Annotation. In-Hye Lee |
| 2020 | Evaluating sources of course information and models of representation on a variety of institutional prediction tasks. Weijie Jiang, Zachary A. Pardos |
| 2020 | Exploration Maps, Beyond Top Scores: Designing Formative Feedback for Open-Ended Problems. Aditi Mallavarapu, Leilah Lyons |
| 2020 | Exploration of Process Mining Opportunities In Educational Software Engineering - The GitLab Analyser. Philipp Dumbach, Alexander Aly, Markus Zrenner, Björn M. Eskofier |
| 2020 | Exploring homophily in demographics and academic performance using spatial-temporal student networks. Quan Nguyen, Oleksandra Poquet, Christopher Brooks, Warren Li |
| 2020 | Extending the Hint Factory: Towards Modelling Productivity for Open-ended Problem-solving. Mehak Maniktala, Tiffany Barnes, Min Chi |
| 2020 | Feature Selection Metrics: Similarities, Differences, and Characteristics of the Selected Models. Debopam Sanyal, Nigel Bosch, Luc Paquette |
| 2020 | First Steps Towards NLP-based Formative Feedback to Improve Scientific Writing in Hebrew. Moriah Ariely, Tanya Nazaretsky, Giora Alexandron |
| 2020 | Getting too personal(ized): The importance of feature choice in online adaptive algorithms. ZhaoBin Li, Luna Yee, Nathaniel Sauerberg, Irene Sakson, Joseph Jay Williams, Anna N. Rafferty |
| 2020 | Harbingers of Collaboration? The Role of Early-Class Behaviors in Predicting Collaborative Problem Solving. Paul Hur, Nigel Bosch, Luc Paquette, Emma Mercier |
| 2020 | How Does Student Behaviour Change Approaching Dropout? A Study of Gender and School Year Differences. Jessica McBroom, Irena Koprinska, Kalina Yacef |
| 2020 | How we talk about math: Leveraging naturalistic datasets to define the discourse of math in contrast to other domains. Rachel Jansen, Ruthe Foushee |
| 2020 | Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach. Hang Li, Wenbiao Ding, Songfan Yang, Zitao Liu |
| 2020 | Image Reconstruction of Tablet Front Camera Recordings in Educational Settings. Rafael Wampfler, Andreas Emch, Barbara Solenthaler, Markus Gross |
| 2020 | Incidence of teacher curricular emphasis in reading achievement of Uruguayan ninth-grade students. Leonardo Moreno, Matías Núñez, Cecilia Emery, Inés Méndez, Elisa Borba, Eliana Lucián |
| 2020 | Incorporating Task-specific Features into Deep Models to Classify Argument Components. Linting Xue, Collin F. Lynch |
| 2020 | Increasing Enrollment by Optimizing Scholarship Allocations Using Machine Learning and Genetic Algorithms. Lovenoor S. Aulck, Dev Nambi, Jevin West |
| 2020 | IntelliMOOC: Intelligent Online Learning Framework for MOOC Platforms. Patara Trirat, Sakonporn Noree, Mun Yong Yi |
| 2020 | Investigating Relations between Self-Regulated Reading Behaviors and Science Question Difficulty. Effat Farhana, Teomara Rutherford, Collin F. Lynch |
| 2020 | Investigating Students' Learning in Online Learning Environment. Lavendini Sivaneasharajah, Katrina Falkner, Thushari Atapattu |
| 2020 | Iterative Feature Engineering Through Text Replays of Model Error. Stefan Slater, Ryan Baker, Yeyu Wang |
| 2020 | Learning a Policy Primes Quality Control: Towards Evidence-Based Automation of Learning Engineering. Machi Shimmei, Noboru Matsuda |
| 2020 | Linguistic Changes across Different User Roles in MOOCs: What do they tell us? Lavendini Sivaneasharajah, Katrina Falkner, Thushari Atapattu |
| 2020 | Measuring Ability-to-Learn Using Parametric Learning Gain Functions. Chris Piech, Engin Bumbacher, Richard Lee Davis |
| 2020 | Measuring task difficulty for online learning environments where multiple attempts are allowed - the Elo rating algorithm approach. Maciej Pankiewicz |
| 2020 | Methodology to measure of similarity in student video sequence of interactions. Boniface Mbouzao, Michel C. Desmarais, Ian Shrier |
| 2020 | Modeling Knowledge Acquisition from Multiple Learning Resource Types. Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi |
| 2020 | More Data and Better Keywords Imply Better Educational Transcript Classification? Theodora Danciulescu, Stella Heras, Javier Palanca, Vicente Julián, Cristian Mihaescu |
| 2020 | Moving beyond Test Scores: Analyzing the Effectiveness of a Digital Learning Game through Learning Analytics. Huy Anh Nguyen, Xinying Hou, John C. Stamper, Bruce M. McLaren |
| 2020 | Mutual spontaneous aid between students in distance learning and the role of the feeling of social belonging to a training group. Dalila Bebbouchi |
| 2020 | Natural Language Processing for Open Ended Questions in Mathematics within Intelligent Tutoring Systems. John A. Erickson |
| 2020 | Next-Term Grade Prediction: A Machine Learning Approach. Audrey Tedja Widjaja, Lei Wang, Nghia Trong Truong, Aldy Gunawan, Ee-Peng Lim |
| 2020 | Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network. Hamid Karimi, Tyler Derr, Jiangtao Huang, Jiliang Tang |
| 2020 | Overcoming Foreign Language Anxiety in an Emotionally Intelligent Tutoring System. Daneih Ismail |
| 2020 | PIPE: Predicting Logical Programming Errors in Programming Exercises. Dezhuang Miao, Yu Dong, Xuesong Lu |
| 2020 | Pick the Moment: Identifying Critical Pedagogical Decisions Using Long-Short Term Rewards. Song Ju, Min Chi, Guojing Zhou |
| 2020 | Predicting Engagement in Video Lectures. Sahan Bulathwela, María Pérez-Ortiz, Aldo Lipani, Emine Yilmaz, John Shawe-Taylor |
| 2020 | Predicting Student Dropout by Mining Advisor Notes. J. D. Jayaraman |
| 2020 | Predicting Student Performance in a Master's Program in Data Science using Admissions Data. Yijun Zhao, Qiangwen Xu, Ming Chen, Gary Weiss |
| 2020 | Predicting and Understanding Success in an Innovation-Based Learning Course. Lauren Singelmann, Enrique Alvarez Vazquez, Ellen Swartz, Ryan Striker, Mary Pearson, Dan Ewert |
| 2020 | Predicting students' performance using emotion detection from face-recording video when interacting with an ITS. Wilson Chango, Miguel Sánchez-Santillán, Rebeca Cerezo, Cristóbal Romero |
| 2020 | Prescribing Deep Attentive Score Prediction Attracts Improved Student Engagement. Youngnam Lee, Byungsoo Kim, Dongmin Shin, Junghoon Kim, Jineon Baek, Jinhwan Lee, Youngduck Choi |
| 2020 | Problem detection in peer assessments between subjects by effective transfer learning and active learning. Yunkai Xiao, Gabriel Zingle, Qinjin Jia, Shoaib Akbar, Song Yang, Muyao Dong, Li Qi, Edward F. Gehringer |
| 2020 | Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020, Fully virtual conference, July 10-13, 2020 Anna N. Rafferty, Jacob Whitehill, Cristóbal Romero, Violetta Cavalli-Sforza |
| 2020 | Recommending Remedial Readings Using Student's Knowledge state. Khushboo Thaker, Lei Zhang, Daqing He, Peter Brusilovsky |
| 2020 | Return of the Student: Predicting Re-Engagement in Mobile Learning. Maximillian Chen, René F. Kizilcec |
| 2020 | Scalability in Online Computer Programming Education: Automated Techniques for Feedback, Evaluation and Equity. Jessica McBroom, Kalina Yacef, Irena Koprinska |
| 2020 | Self-Regulated Learning and Science Reading of Middle-School Students. Effat Farhana |
| 2020 | Semi-supervised Learning Method for Adjusting Biased Item Difficulty Estimates Caused by Nonignorable Missingness under 2PL-IRT Model. Kang Xue |
| 2020 | Social Media Mining to Understand the Impact of Co-operative Education on Mental Health. Mohammad S. Parsa, Lukasz Golab |
| 2020 | Structural Explanation of Automated Essay Scoring. Afrizal Doewes, Mykola Pechenizkiy |
| 2020 | Student Subtyping via EM-Inverse Reinforcement Learning. Xi Yang, Guojing Zhou, Michelle Taub, Roger Azevedo, Min Chi |
| 2020 | Student Teamwork on Programming Projects. What can GitHub logs show us? Niki Gitinabard, Ruth Okoilu, Yiqiao Xu, Sarah Heckman, Tiffany Barnes, Collin F. Lynch |
| 2020 | The Ebb and Flow of Student Engagement: Measuring motivation through temporal pattern of self-regulation. Steven Dang, Kenneth R. Koedinger |
| 2020 | The Effect of Visual Cues on Cognitive Load Depending on Self-Regulation in Video-Based Learning. Kakyeong Kim, Il-Hyun Jo |
| 2020 | The NAEP EDM Competition: Theory-Driven Psychometrics and Machine Learning for Predictions Based on Log Data. Fabian Zehner, Scott Harrison, Beate Eichmann, Tobias Deribo, Daniel Bengs, Nico Andersen, Carolin Hahnel |
| 2020 | The Results of Zone of Proximal Development on Learning Outcome. Shengni Wang, Yuxin Zhao, Wei Ma, Zhenjun Ma, Ryan Baker |
| 2020 | The effect of teachers reassigning students to new Cognitive Tutor sections. Adam Sales, John Pane |
| 2020 | Toward a deep convolutional LSTM for eye gaze spatiotemporal data sequence classification. Komi Sodoké, Roger Nkambou, Aude Dufresne, Issam Tanoubi |
| 2020 | Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data. Renzhe Yu, Qiujie Li, Christian Fischer, Shayan Doroudi, Di Xu |
| 2020 | Towards Fair Educational Data Mining: A Case Study on Detecting At-risk Students. Qian Hu, Huzefa Rangwala |
| 2020 | Towards Suggesting Actionable Interventions for Wheel Spinning Students. Tong Mu, Andrea Jetten, Emma Brunskill |
| 2020 | Towards Temporality-Sensitive Recurrent Neural Networks through Enriched Traces. Thomas Sergent, François Bouchet, Thibault Carron |
| 2020 | Towards Understanding the Impact of Real-Time AI-Powered Educational Dashboards (RAED) on Providing Guidance to Instructors. Ajay Kulkarni, Michael Eagle |
| 2020 | Unsupervised Approach for Modeling Content Structures of MOOCs. Fareedah Alsaad, Abdussalam Alawini |
| 2020 | Using Association Rule Mining to Uncover Rarely Occurring Relationships in Two University Online STEM Courses: A Comparative Analysis. Hannah Valdiviejas, Nigel Bosch |
| 2020 | Using Edit Distance Trails to Analyze Path Solutions of Parsons Puzzles. Salil Maharjan, Amruth Kumar |
| 2020 | Using Process Data to Evaluate Scientific Inquiry Practice in Technology-Enhanced Assessment. Tao Gong, Lan Shuai, Burcu Arslan, Yang Jiang |
| 2020 | Using online text books and in-class quizzes to predict in class performance. Noah Hunt-Isaak, Peter Cherniavsky, Mark Snyder, Huzefa Rangwala |
| 2020 | VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics. Zichao Wang, Yi Gu, Andrew S. Lan, Richard G. Baraniuk |
| 2020 | Variational Item Response Theory: Fast, Accurate, and Expressive. Mike Wu, Richard Lee Davis, Benjamin W. Domingue, Chris Piech, Noah D. Goodman |
| 2020 | What Time is It? Student Modeling Needs to Know. Ye Mao, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi |
| 2020 | Where to aim? Factors that influence the performance of Brazilian secondary schools. Paulo J. L. Adeodato, Rogerio Luiz C. S. Filho |
| 2020 | Whose Truth is the "Ground Truth"? College Admissions Essays and Bias in Word Vector Evaluation Methods. Noah Arthurs, A. J. Alvero |
| 2020 | Zero-shot Learning of Hint Policy via Reinforcement Learning and Program Synthesis. Aleksandr Efremov, Ahana Ghosh, Adish Singla |
| 2020 | qDKT: Question-centric Deep Knowledge Tracing. Shashank Sonkar, Andrew S. Lan, Andrew E. Waters, Phillip Grimaldi, Richard G. Baraniuk |