| 2019 | A Better Cold-Start for Early Prediction of Student At-Risk Status in New School Districts. Chad Coleman, Ryan S. Baker, Shonte Stephenson |
| 2019 | A Comparative Analysis of Emotional Words for Learning Effectiveness in Online Education. Jaechoon Jo, Yeongwook Yang, Gyeongmin Kim, Heuiseok Lim |
| 2019 | A Comparison of Automated Scale Short Form Selection Strategies. Anthony W. Raborn, Walter L. Leite, Katerina M. Marcoulides |
| 2019 | A Data-Driven Approach for Automated Assessment of Scientific Explanations in Science Inquiry. Rachel Dickler, Haiying Li, Janice D. Gobert |
| 2019 | A Human-Machine Hybrid Peer Grading Framework for SPOCs. Yong Han, Wenjun Wu, Suozhao Ji, Lijun Zhang, Hui Zhang |
| 2019 | A Meta-Learning Augmented Bidirectional Transformer Model for Automatic Short Answer Grading. Zichao Wang, Andrew S. Lan, Andrew E. Waters, Phillip Grimaldi, Richard G. Baraniuk |
| 2019 | A Methodology for Student Video Interaction Patterns Analysis and Classification. Boniface Mbouzao, Michel C. Desmarais, Ian Shrier |
| 2019 | A Multivariate ELO-based Learner Model for Adaptive Educational Systems. Solmaz Abdi, Hassan Khosravi, Shazia Sadiq, Dragan Gasevic |
| 2019 | A Novel Use of Educational Data Mining to Inform Effective Management of Academic Programs. Anwar Ali Yahya, Fekri Abdulwadod Mohammed, Addin Osman |
| 2019 | A Self Attentive model for Knowledge Tracing. Shalini Pandey, George Karypis |
| 2019 | A generalizable performance evaluation model of driving games via risk-weighted trajectories. Rory Flemming, Emmanuel Schmück, Dominic Mussack, Pedro Cardoso-Leite, Paul Schrater |
| 2019 | ATC Framework: A fully Automatic Cognitive Tracing Model for Student and Educational Contents. Yanjun Pu, Wenjun Wu, Tianrui Jiang |
| 2019 | Academic Performance Estimation with Attention-based Graph Convolutional Networks. Qian Hu, Huzefa Rangwala |
| 2019 | Accurate Modelling of Language Learning Tasks and Students Using Representations of Grammatical Proficiency. Ahmed H. Zaidi, Andrew Caines, Christopher Davis, Russell Moore, Paula Buttery, Andrew Rice |
| 2019 | Active Learning for Student Affect Detection. Tsung-Yen Yang, Ryan S. Baker, Christoph Studer, Neil T. Heffernan, Andrew S. Lan |
| 2019 | Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations. Chen Liang, Jianbo Ye, Han Zhao, Bart Pursel, C. Lee Giles |
| 2019 | Adding duration-based quality labels to learning events for improved description of students' online learning behavior. Matthew W. Guthrie, Zhongzhou Chen |
| 2019 | Affect detection in home-based educational software for young children. Roger Smeets, Francette L. Broekman, Eric Bouwers |
| 2019 | Affective State Prediction in a Mobile Setting using Wearable Biometric Sensors and Stylus. Rafael Wampfler, Severin Klingler, Barbara Solenthaler, Victor R. Schinazi, Markus Gross |
| 2019 | Anatomy of mobile learners: Using learning analytics to unveil learning in presence of mobile devices. Varshita Sher |
| 2019 | Application of Hidden Markov Models to quantify the impact of enrollment patterns on student performance. Shahab Boumi, Adan Vela |
| 2019 | Assessing Student Response in Tutorial Dialogue Context using Probabilistic Soft Logic. Rajendra Banjade, Vasile Rus |
| 2019 | Assessing the Fairness of Graduation Predictions. Henry Anderson, Afshan Boodhwani, Ryan S. Baker |
| 2019 | Augmenting Transcripts with Natural Language Processing and Multimodal Data. Tyler Angert, Bertrand Schneider |
| 2019 | Automatic identification of questions in MOOC forums and association with self-regulated learning. Fatima Harrak, François Bouchet, Vanda Luengo, Rémi Bachelet |
| 2019 | Balancing Student Success and Inferring Personalized Effects in Dynamic Experiments. Hammad Shaikh, Arghavan Modiri, Joseph Jay Williams, Anna N. Rafferty |
| 2019 | Beyond Autoscoring: Extracting Conceptual Connections from Essays for Classroom Instruction. Korah J. Wiley, Allison Bradford, Zachary A. Pardos, Marcia C. Linn |
| 2019 | Beyond Autoscoring: Extracting Conceptual Connections from Essays for Classroom Instruction. Korah J. Wiley, Allison Bradford, Zachary A. Pardos, Marcia C. Linn |
| 2019 | Binary Q-matrix Learning with dAFM. Nan Jiang, Zachary A. Pardos |
| 2019 | Categorizing students' questions using an ensemble hybrid approach. Fatima Harrak, François Bouchet, Vanda Luengo |
| 2019 | Characterising Students' Writing Processes Using Temporal Keystroke Analysis. Donia Malekian, James Bailey, Gregor E. Kennedy, Paula G. de Barba, Sadia Nawaz |
| 2019 | Clustering Students Based on Their Prior Knowledge. Nisrine Ait Khayi, Vasile Rus |
| 2019 | Collaboration Analysis Using Object Detection. Zhang Guo, Roghayeh Barmaki |
| 2019 | Collaborative Problem-Solving Process in A Science Serious Game: Exploring Group Action Similarity Trajectory. Jina Kang, Dongwook An, Lili Yan, Min Liu |
| 2019 | Concept-Aware Deep Knowledge Tracing and Exercise Recommendation in an Online Learning System. Fangzhe Ai, Yishuai Chen, Yuchun Guo, Yongxiang Zhao, Zhenzhu Wang, Guowei Fu, Guangyan Wang |
| 2019 | Content-based Course Recommender System for Liberal Arts Education. Raphaël Morsomme, Sofia Vazquez Alferez |
| 2019 | DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills. Benoît Choffin, Fabrice Popineau, Yolaine Bourda, Jill-Jênn Vie |
| 2019 | Deep Hierarchical Knowledge Tracing. Tianqi Wang, Fenglong Ma, Jing Gao |
| 2019 | Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory. Chun-Kit Yeung |
| 2019 | Design and Deployment of a Better University Course Search: Inferring Latent Keywords from Enrollments. Matthew Dong, Run Yu, Zachary A. Pardos |
| 2019 | Design and evaluation of a semantic indicator for automatically supporting programming learning. Julien Broisin, Clément Hérouard |
| 2019 | Design of an Elective Course Recommendation System for University Environment. Boxuan Ma |
| 2019 | Detecting Creativity in an Open Ended Geometry Environment. Roi Shillo, Nicholas Hoernle, Kobi Gal |
| 2019 | Detecting Outlier Behaviors in Student Progress Trajectories Using a Repeated Fuzzy Clustering Approach. Colm P. Howlin, Charles D. Dziuban |
| 2019 | Detecting Suggestions in Peer Assessments. Gabriel Zingle, Balaji Radhakrishnan, Yunkai Xiao, Edward F. Gehringer, Zhongcan Xiao, Ferry Pramudianto, Gauraang Khurana, Ayush Arnav |
| 2019 | Detecting Wheel Spinning and Productive Persistence in Educational Games. V. Elizabeth Owen, Marie-Helene Roy, K. P. Thai, Vesper Burnett, Daniel Jacobs, Eric Keylor, Ryan S. Baker |
| 2019 | Do Learners Know What's Good for Them? Crowdsourcing Subjective Ratings of OERs to Predict Learning Gains. Jacob Whitehill, Cecilia Aguerrebere, Benjamin Hylak |
| 2019 | Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations. Chuankai Zhang, Yanzun Huang, Jingyu Wang, Dongyang Lu, Weiqi Fang, John C. Stamper, Stephen Fancsali, Kenneth Holstein, Vincent Aleven |
| 2019 | Evaluating Fairness and Generalizability in Models Predicting On-Time Graduation from College Applications. Stephen Hutt, Margo Gardner, Angela Lee Duckworth, Sidney K. D'Mello |
| 2019 | Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments. Tanja Käser, Daniel L. Schwartz |
| 2019 | Exploring Stealth Assessment via Deep Learning in an Open-Ended Virtual Environment. Joseph M. Reilly, Chris Dede |
| 2019 | Exploring the Link Between Motivations and Gaming. Steven Dang, Ken Koedinger |
| 2019 | Filtering non-relevant short answers in peer learning applications. Vincent Gagnon, Audrey Labrie, Sameer Bhatnagar, Michel C. Desmarais |
| 2019 | Gender Differences in Work-Integrated Learning Assessments. Shivangi Chopra, Abeer Khan, Melicaalsadat Mirsafian, Lukasz Golab |
| 2019 | Generalizability of Sensor-Free Affect Detection Models in a Longitudinal Dataset of Tens of Thousands of Students. Emily Jensen, Stephen Hutt, Sidney K. D'Mello |
| 2019 | Generalizing Expert Misconception Diagnoses Through Common Wrong Answer Embedding. John Kolb, Scott Farrar, Zachary A. Pardos |
| 2019 | Grade Prediction Based on Cumulative Knowledge and Co-taken Courses. Zhiyun Ren, Xia Ning, Andrew S. Lan, Huzefa Rangwala |
| 2019 | Grades are not Normal: Improving Exam Score Models Using the Logit-Normal Distribution. Noah Arthurs, Ben Stenhaug, Sergey Karayev, Chris Piech |
| 2019 | Grading emails and generating feedback. Abhishek Unnam, Rohit Takhar, Varun Aggarwal |
| 2019 | Hao Fa Yin: Developing Automated Audio Assessment Tools for a Chinese Language Course. Ashvini Varatharaj, Anthony F. Botelho, Xiwen Lu, Neil T. Heffernan |
| 2019 | Hello? Who is posting, who is answering, and who is succeeding in Massive Open Online Courses. Juan Miguel L. Andres-Bray, Jaclyn L. Ocumpaugh, Ryan S. Baker |
| 2019 | How Should Online Teachers of English as a Foreign Language (EFL) Write Feedback to Students? Cecilia Aguerrebere, Monica Bulger, Cristóbal Cobo, Sofía García, Gabriela Kaplan, Jacob Whitehill |
| 2019 | Hybrid Deep Neural Networks to Predict Socio-Moral Reasoning Skills. Ange Adrienne Nyamen Tato, Roger Nkambou, Aude Dufresne |
| 2019 | Identifying Collaborative Learning States Using Unsupervised Machine Learning on Eye-Tracking, Physiological and Motion Sensor Data. Karina Huang, Tonya Bryant, Bertrand Schneider |
| 2019 | Identifying Critical Pedagogical Decisions through Adversarial Deep Reinforcement Learning. Song Ju, Guojing Zhou, Hamoon Azizsoltani, Tiffany Barnes, Min Chi |
| 2019 | Identifying bias and underlying knowledge structures in Brazilian National Exam of Students Performance. Mariana S. Oliveira, Carlos E. Mello |
| 2019 | Implicit and Explicit Emotions in MOOCs. Munira Syed, Malolan Chetlur, Shazia Afzal, G. Alex Ambrose, Nitesh V. Chawla |
| 2019 | Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades. Tianqi Wang, Qi Li, Jing Gao, Xia Jing, Jie Tang |
| 2019 | Incorporating Prior Practice Difficulty into Performance Factor Analysis to Model Mandarin Tone Learning. Meng Cao, Philip I. Pavlik Jr., Gavin M. Bidelman |
| 2019 | Individual Differences in Student Learning Aid Usage. Andréa K. Davis, Yun Jin Rho, Daniel Furr |
| 2019 | Investigating Error Resolution Processes in C Programming Exercise Courses. Yuta Taniguchi, Atsushi Shimada, Shin'ichi Konomi |
| 2019 | Investigating Writing Style Development in High School. Stephan Lorenzen, Niklas Hjuler, Stephen Alstrup |
| 2019 | Investigating effects of considering mobile and desktop learning data on predictive power of learning management system (LMS) features on student success. Varshita Sher, Marek Hatala, Dragan Gasevic |
| 2019 | It's a Match! Reciprocal Recommender System for Graduating Students and Jobs. Anik Jacobsen, Gerasimos Spanakis |
| 2019 | Kappa Learning: A New Item-Similarity Method for Clustering Educational Items from Response Data. Tanya Nazaretsky, Sara Hershkovitz, Giora Alexandron |
| 2019 | Learning Feature Analysis for Quality Improvement of Web-Based Teaching Materials Using Mouse Cursor Tracking. Mizuho Ikeda |
| 2019 | Leveraging Deep Reinforcement Learning for Pedagogical Policy Induction in an Intelligent Tutoring System. Markel Sanz Ausin, Hamoon Azizsoltani, Tiffany Barnes, Min Chi |
| 2019 | Machine Learning Based Decision Support System for Categorizing MOOC Discussion Forum Posts. Gaurav Nanda, Kerrie Anna Douglas |
| 2019 | Machine-Learned School Dropout Early Warning at Scale. S. Thomas Christie, Daniel C. Jarratt, Lukas A. Olson, Taavi T. Taijala |
| 2019 | Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and Affect. Anthony F. Botelho, Ryan S. Baker, Neil T. Heffernan |
| 2019 | Measuring Item Teaching Value in an Online Learning Environment. Jon Harmon, Rasil Warnakulasooriya |
| 2019 | Measuring students' thermal comfort and its impact on learning. Han Jiang, Matthew Iandoli, Steven Van Dessel, Shichao Liu, Jacob Whitehill |
| 2019 | Mining University Registrar Records to Predict First-Year Undergraduate Attrition. Lovenoor S. Aulck, Dev Nambi, Nishant Velagapudi, Joshua Blumenstock, Jevin West |
| 2019 | Modeling Student Performance and Disengagement Using Decomposition of Response Time Data. Deniz Sonmez Unal |
| 2019 | Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective. Josh Gardner, Yuming Yang, Ryan S. Baker, Christopher Brooks |
| 2019 | Modeling person-specific development of math skills in continuous time: New evidence for mutualism. Lu Ou, Abe D. Hofman, Vanessa R. Simmering, Timo Bechger, Gunter K. J. Maris, Han L. J. van der Maas |
| 2019 | Modelling End-of-Session Actions in Educational Systems. Christian Hansen, Casper Hansen, Stephen Alstrup, Christina Lioma |
| 2019 | N-gram Graphs for Topic Extraction in Educational Forums. Glenn M. Davis, Cindy Wang, Christina Yuan |
| 2019 | Neural Attentive Knowledge-based Model for Grade Prediction. Sara Morsy, George Karypis |
| 2019 | One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming Tasks. Ye Mao, Rui Zhi, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi |
| 2019 | Optimizing Assignment of Students to Courses based on Learning Activity Analytics. Atsushi Shimada, Kousuke Mouri, Yuta Taniguchi, Hiroaki Ogata, Rin-Ichiro Taniguchi, Shin'ichi Konomi |
| 2019 | Parent as a Companion for Solving Challenging Math Problems: Insights from Multi-modal Observational Data. Lujie Chen, Eva Gjekmarkaj, Artur Dubrawski |
| 2019 | Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study. Armando Maciel Toda, Wilk Oliveira, Lei Shi, Ig Ibert Bittencourt, Seiji Isotani, Alexandra I. Cristea |
| 2019 | Predicting Early and Often: Predictive Student Modeling for Block-Based Programming Environments. Andrew Emerson, Andy Smith, Cody Smith, Fernando J. Rodríguez, Wookhee Min, Eric N. Wiebe, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester |
| 2019 | Predicting Student Dropout in Higher Education Based on Previous Exam Results. Alexander Askinadze, Stefan Conrad |
| 2019 | Predicting student academic outcomes in UK secondary phase education: an architecture for machine learning and user interaction. Matthew Woodruff |
| 2019 | Predicting the Quality of Collaborative Problem Solving Through Linguistic Analysis of Discourse. Joseph M. Reilly, Bertrand Schneider |
| 2019 | Predictors of Student Satisfaction: A Large-scale Study of Human-Human Online Tutorial Dialogues. Guanliang Chen, David Lang, Rafael Ferreira, Dragan Gasevic |
| 2019 | Probabilistic Modeling of Peer Correction and Peer Assessment. Takeru Sunahase, Yukino Baba, Hisashi Kashima |
| 2019 | Proceedings of the 12th International Conference on Educational Data Mining, EDM 2019, Montréal, Canada, July 2-5, 2019 Michel C. Desmarais, Collin F. Lynch, Agathe Merceron, Roger Nkambou |
| 2019 | Rank-Based Tensor Factorization for Student Performance Prediction. Thanh-Nam Doan, Shaghayegh Sahebi |
| 2019 | Scholars Walk: A Markov Chain Framework for Course Recommendation. Agoritsa Polyzou, Athanasios N. Nikolakopoulos, George Karypis |
| 2019 | Shedding Light on the Automated Essay Scoring Process. David Boulanger, Vivekanandan Kumar |
| 2019 | Skills Embeddings: A Neural Approach to Multicomponent Representations of Students and Tasks. Russell Moore, Andrew Caines, Mark Elliott, Ahmed H. Zaidi, Andrew Rice, Paula Buttery |
| 2019 | Smart Learning Object Recommendations based on Time-Dependent Learning Need Models. Christopher Krauss, Agathe Merceron, Stefan Arbanowski |
| 2019 | Staying in the Zone: Sequencing Content in Classrooms Based on the Zone of Proximal Development. Oded Vainas, Yossi Ben David, Ran Gilad-Bachrach, Meitar Ronen, Ori Bar-Ilan, Roi Shillo, Galit Lukin, Daniel Sitton |
| 2019 | Student Knowledge Diagnosis on Response Data via the Model of Sparse Factor Learning. Yupei Zhang, Huan Dai, Yue Yun, Xuequn Shang |
| 2019 | Students' Use of Support Functions in DBAs: Analysis of NAEP Grade 8 Mathematics Process Data. Juanita Hicks, Ruhan Circi, Mengyi (Elaine) Li |
| 2019 | Studying Factors Influencing the Prediction of Student STEM and Non-STEM Career Choice. Varun Mandalapu, Jiaqi Gong |
| 2019 | Success prediction in MOOCs: A case study. Antoine Pigeau, Olivier Aubert, Yannick Prié |
| 2019 | Supporting Minority Student Success by using Machine Learning to Identify At-Risk Students. J. D. Jayaraman, Sue Gerber, Julian Garcia |
| 2019 | Teacher vs. Algorithm: Double-blind experiment of content sequencing in mathematics. Ben Levy, Arnon Hershkovitz, Odelia Tzayada, Orit Ezra, Avi Segal, Kobi Gal, Anat Cohen, Michal Tabach |
| 2019 | Techniques for Automatically Evaluating Machine-Generated Questions. Zichao Wang |
| 2019 | The Guided Team-Partitioning Problem: Definition, Complexity, and Algorithm. Sanaz Bahargam, Theodoros Lappas, Evimaria Terzi |
| 2019 | The Influence of School Demographics on the Relationship Between Students' Help-Seeking Behavior and Performance and Motivational Measures. Shamya Karumbaiah, Jaclyn Ocumpaugh, Ryan S. Baker |
| 2019 | Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States. Byungsoo Jeon, Eyal Shafran, Luke Breitfeller, Jason Levin, Carolyn P. Rosé |
| 2019 | Toward Data-Driven Example Feedback for Novice Programming. Rui Zhi, Samiha Marwan, Yihuan Dong, Nicholas Lytle, Thomas W. Price, Tiffany Barnes |
| 2019 | Toward Instrumenting Makerspaces: Using Motion Sensors to Capture Students' Affective States in Open-Ended Learning Environments. Lucia Ramirez, William Yao, Edwin Chng, Iulian Radu, Bertrand Schneider |
| 2019 | Toward Near Zero-Parameter Prediction Using a Computational Model of Student Learning. Daniel Weitekamp III, Erik Harpstead, Christopher J. MacLellan, Napol Rachatasumrit, Kenneth R. Koedinger |
| 2019 | Towards Modeling Students' Problem-solving Skills in Non-routine Mathematics Problems. Huy Anh Nguyen, John C. Stamper, Bruce M. McLaren |
| 2019 | Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses. Giora Alexandron, José A. Ruipérez-Valiente, David E. Pritchard |
| 2019 | Towards discovering problem similarity through deep learning: combining problem features and user behavior. Dominic Mussack, Rory Flemming, Paul Schrater, Pedro Cardoso-Leite |
| 2019 | Towards the Prediction of Semantic Complexity Based on Concept Graphs. Rémi Venant, Mathieu d'Aquin |
| 2019 | Tutorbot Corpus: Evidence of Human-Agent Verbal Alignment in Second Language Learner Dialogues. Arabella Sinclair, Kate McCurdy, Christopher G. Lucas, Adam Lopez, Dragan Gasevic |
| 2019 | Using Knowledge Component Modeling to Increase Domain Understanding in a Digital Learning Game. Huy Anh Nguyen, Yeyu Wang, John C. Stamper, Bruce M. McLaren |
| 2019 | Using Latent Variable Models to Observe Academic Pathways. Nate Gruver, Ali Malik, Brahm Capoor, Chris Piech, Mitchell L. Stevens, Andreas Paepcke |
| 2019 | Using a Glicko-based Algorithm to Measure In-Course Learning. Rachel Reddick |
| 2019 | Utterance-level Modeling of Indicators of Engaging Classroom Discourse. Cathlyn Stone, Patrick J. Donnelly, Meghan Dale, Sarah Capello, Sean Kelly, Amanda Godley, Sidney K. D'Mello |
| 2019 | Validating the Myth of Average through Evidences. Praseeda, Srinath Srinivasa, Prasad Ram |
| 2019 | Visualization and clustering of learner pathways in an interactive online learning environment. Daniel Furr |
| 2019 | Visualizing Learning Performance Data and Model Predictions as Objects in a 3D Space. Bruno Emond, Julio J. Valdés |
| 2019 | What You Say is Relevant to How You Make Friends: Measuring the Effect of Content on Social Connection. Yiqiao Xu, Niki Gitinabard, Collin F. Lynch, Tiffany Barnes |
| 2019 | What will you do next? A sequence analysis on the student transitions between online platforms in blended courses. Niki Gitinabard, Tiffany Barnes, Sarah Heckman, Collin F. Lynch |
| 2019 | Why Deep Knowledge Tracing has less Depth than Anticipated. Xinyi Ding, Eric C. Larson |