| 2022 | "Closing the Loop" in Educational Data Science with an Open Source Architecture for Large-Scale Field Trials. Stephen Fancsali, April Murphy, Steven Ritter |
| 2022 | #lets-discuss: Analyzing Student Affect in Course Forums Using Emoji. Ariel Blobstein, Kobi Gal, David R. Karger, Marc T. Facciotti, Hyunsoo Gloria Kim, Jumana Almahmoud, Kamali Sripathi |
| 2022 | 6th Educational Data Mining in Computer Science Education (CSEDM) Workshop. Bita Akram, Thomas W. Price, Yang Shi, Peter Brusilovsky, Sharon I-Han Hsiao |
| 2022 | A Paraphrase Identification Approach in Paragraph length texts. Arwa Al Saqaabi, Craig D. Stewart, Eleni C. Akrida, Alexandra I. Cristea |
| 2022 | A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics. Ryan Hodgson, Jingyun Wang, Alexandra I. Cristea, Fumiko Matsuzaki, Hiroyuki Kubota |
| 2022 | A Variant of Performance Factors Analysis Model for Categorization. Meng Cao, Philip I. Pavlik |
| 2022 | A deep dive into microphone hardware for recording collaborative group work. Mariah Bradford, Paige Hansen, J. Ross Beveridge, Nikhil Krishnaswamy, Nathaniel Blanchard |
| 2022 | A deep reinforcement learning approach to automatic formative feedback. Aubrey Condor, Zachary A. Pardos |
| 2022 | Addressing Competing Objectives in Allocating Funds to Scholarships and Need-based Financial Aid. Vinthuy Phan, Laura Wright, Bridgette Decent |
| 2022 | Admitting you have a problem is the first step: Modeling when and why students seek help in programming assignments. Zhikai Gao, Bradley Erickson, Yiqiao Xu, Collin F. Lynch, Sarah Heckman, Tiffany Barnes |
| 2022 | Adversarial bandits for drawing generalizable conclusions in non-adversarial experiments: an empirical study. Zhi-Han Yang, Shiyue Zhang, Anna N. Rafferty |
| 2022 | Algorithmic unfairness mitigation in student models: When fairer methods lead to unintended results. Frank Stinar, Nigel Bosch |
| 2022 | An Evaluation of code2vec Embeddings for Scratch. Benedikt Fein, Isabella Graßl, Florian Beck, Gordon Fraser |
| 2022 | Analyzing the Equity of the Brazilian National High School Exam by Validating the Item Response Theory's Invariance. Vitória Guardieiro, Marcos M. Raimundo, Jorge Poco |
| 2022 | Assessing Instructor Effectiveness Based on Future Student Performance. Gary Weiss, Erik Brown, Michael Riad-Zaky, Ruby Iannone, Daniel D. Leeds |
| 2022 | Automatic Classification of Learning Objectives Based on Bloom's Taxonomy. Yuheng Li, Mladen Rakovic, Boon Xin Poh, Dragan Gasevic, Guanliang Chen |
| 2022 | Automatic Short Math Answer Grading via In-context Meta-learning. Mengxue Zhang, Sami Baral, Neil T. Heffernan, Andrew S. Lan |
| 2022 | Automatical Graph-based Knowledge Tracing. Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia, Zhicheng He, Ruiming Tang, Yong Yu |
| 2022 | Building a Reinforcement Learning Environment from Limited Data to Optimize Teachable Robot Interventions. Tristan Maidment, Mingzhi Yu, Nikki G. Lobczowski, Adriana Kovashka, Erin Walker, Diane J. Litman, Timothy Nokes-Malach |
| 2022 | CHUNK Learning: A Tool that Supports Personalized Education. Ralucca Gera, D'Marie Bartolf, Simona Tick, Akrati Saxena |
| 2022 | Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments. Sahan Bulathwela, Meghana Verma, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor |
| 2022 | Causal Inference in Educational Data Mining. Adam Sales, Neil T. Heffernan |
| 2022 | Challenges and Feasibility of Automatic Speech Recognition for Modeling Student Collaborative Discourse in Classrooms. Rosy Southwell, Samuel L. Pugh, E. Margaret Perkoff, Charis Clevenger, Jeffrey B. Bush, Rachel Lieber, Wayne H. Ward, Peter W. Foltz, Sidney D'Mello |
| 2022 | Characterizing joint attention dynamics during collaborative problem-solving in an immersive astronomy simulation. Yiqiu Zhou, Jina Kang |
| 2022 | Clustering Students Using Pre-Midterm Behaviour Data and Predict Their Exam Performance. Huanyi Chen, Paul A. S. Ward |
| 2022 | Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks. Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price |
| 2022 | Combining domain modelling and student modelling techniques in a single automated pipeline. Gio Picones, Benjamin Paaßen, Irena Koprinska, Kalina Yacef |
| 2022 | Comparison of Learning Behaviors on an e-Book System in 2019 Onsite and 2020 Online Courses. Hiroaki Kawashima |
| 2022 | Data-driven goal setting: Searching optimal badges in the decision forest. Julian Langenhagen |
| 2022 | DeepIRT with a Hypernetwork to Optimize the Degree of Forgetting of Past Data. Emiko Tsutsumi, Yiming Guo, Maomi Ueno |
| 2022 | Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process. Jiayi Zhang, Juliana Ma. Alexandra L. Andres, Stephen Hutt, Ryan S. Baker, Jaclyn Ocumpaugh, Caitlin Mills, Jamiella Brooks, Sheela Sethuraman, Tyron Young |
| 2022 | Detecting When a Learner Requires Assistance with Programming and Delivering a Useful Hint. Marcus Messer |
| 2022 | Distance measure between instructor-recommended and learner's learning pathways. Marie-Luce Bourguet, Yushan Li |
| 2022 | Do College Students Learn Math the Same Way as Middle School Students? On the Transferability of Findings on Within-Problem Supports in Intelligent Tutoring Systems. Michael Smalenberger, Kelly Smalenberger |
| 2022 | Does Practice Make Perfect? Analyzing the Relationship Between Higher Mastery and Forgetting in an Adaptive Learning System. Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun |
| 2022 | Does chronology matter? Sequential vs contextual approaches to knowledge tracing. Yueqi Wang, Zachary A. Pardos |
| 2022 | E-learning Preparedness: A Key Consideration to Promote Fair Learning Analytics Development in Higher Education. Jinnie Shin, Okan Bulut, Wallace N. Pinto Jr. |
| 2022 | Effect of Q-matrix Misspecification on Variational Autoencoders (VAE) for Multidimensional Item Response Theory (MIRT) Models Estimation. Mahbubul Hasan, Lih-Yuan Deng, John Sabatini, Dale Bowman, Ching-Chi Yang, John Hollander |
| 2022 | Employing Tree-based Algorithms to Predict Students' Self-Efficacy in PISA 2018. Bin Tan, Maria Cutumisu |
| 2022 | Enhancing Stealth Assessment in Game-Based Learning Environments with Generative Zero-Shot Learning. Nathan L. Henderson, Halim Acosta, Wookhee Min, Bradford W. Mott, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric N. Wiebe, James C. Lester |
| 2022 | Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models. Niall Twomey, Sarah McMullan, Anat Elhalal, Rafael Poyiadzi, Luis M. Vaquero |
| 2022 | Equity and Fairness of Bayesian Knowledge Tracing. Sebastian Tschiatschek, Maria Knobelsdorf, Adish Singla |
| 2022 | Estimating the causal effects of Khan Academy Map Accelerator across demographic subgroups. Phillip Grimaldi, Kodi Weatherholtz, Kelli Millwood Hill |
| 2022 | Evaluating Gaming Detector Model Robustness Over Time. Nathan Levin, Ryan Baker, Nidhi Nasiar, Stephen Fancsali, Stephen Hutt |
| 2022 | Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser |
| 2022 | Exploring Common Trends in Online Educational Experiments. Ethan Prihar, Manaal Syed, Korinn Ostrow, Stacy T. Shaw, Adam Sales, Neil T. Heffernan |
| 2022 | Exploring Cultural Diversity and Collaborative Team Communication through a Dynamical Systems Lens. Mohammad Amin Samadi, Jacqueline G. Cavazos, Yiwen Lin, Nia Nixon |
| 2022 | FATED 2022: Fairness, Accountability, and Transparency in Educational Data. Collin F. Lynch, Mirko Marras, Mykola Pechenizkiy, Anna N. Rafferty, Steven Ritter, Vinitra Swamy, Renzhe Yu |
| 2022 | Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood Profile. Benjamin Paaßen, Christina Göpfert, Niels Pinkwart |
| 2022 | Format-Aware Item Response Theory for Predicting Vocabulary Proficiency. Boxuan Ma, Gayan Prasad Hettiarachchi, Yuji Ando |
| 2022 | From Solution Synthesis to Student Attempt Synthesis for Block-Based Visual Programming Tasks. Adish Singla, Nikitas Theodoropoulos |
| 2022 | Generalisable Methods for Early Prediction in Interactive Simulations for Education. Jade Maï Cock, Mirko Marras, Christian Giang, Tanja Käser |
| 2022 | Generalized Sequential Pattern Mining of Undergraduate Courses. Daniel D. Leeds, Cody Chen, Yijun Zhao, Fiza Metla, James Guest, Gary Weiss |
| 2022 | Going Deep and Far: Gaze-based Models Predict Multiple Depths of Comprehension During and One Week Following Reading. Megan Caruso, Candace E. Peacock, Rosy Southwell, Guojing Zhou, Sidney D'Mello |
| 2022 | Going beyond "Good Job": Analyzing Helpful Feedback from the Student's Perspective. M. Parvez Rashid, Yunkai Xiao, Edward F. Gehringer |
| 2022 | Grade Prediction via Prior Grades and Text Mining on Course Descriptions: Course Outlines and Intended Learning Outcomes. Jiawei Li, S. Supraja, Wei Qiu, Andy W. H. Khong |
| 2022 | Identifying Explanations Within Student-Tutor Chat Logs. Ethan Prihar, Alexander Moore, Neil T. Heffernan |
| 2022 | Identifying Longitudinal Attendance Patterns through Student Subpopulation Distribution Comparison. Zitong Zhao, Pan Deng, Jianjun Zhou |
| 2022 | Improved Automated Essay Scoring using Gaussian Multi-Class SMOTE for Dataset Sampling. Jih Soong Tan, Ian K. T. Tan, Lay-Ki Soon, Huey Fang Ong |
| 2022 | Improving Automated Assessment and Feedback for Student Open-responses in Mathematics. Sami Baral |
| 2022 | Improving Peer Assessment with Graph Neural Networks. Alireza A. Namanloo, Julie Thorpe, Amirali Salehi-Abari |
| 2022 | Improving problem detection in peer assessment through pseudo-labeling using semi-supervised learning. Chengyuan Liu, Jialin Cui, Ruixuan Shang, Yunkai Xiao, Qinjin Jia, Edward F. Gehringer |
| 2022 | Individual Fairness Evaluation for Automated Essay Scoring System. Afrizal Doewes, Akrati Saxena, Yulong Pei, Mykola Pechenizkiy |
| 2022 | Insta-Reviewer: A Data-Driven Approach for Generating Instant Feedback on Students' Project Reports. Qinjin Jia, Mitchell Young, Yunkai Xiao, Jialin Cui, Chengyuan Liu, M. Parvez Rashid, Edward F. Gehringer |
| 2022 | Investigating Growth of Representational Competencies by Knowledge-Component Model. Jihyun Rho, Martina A. Rau, Barry Vanveen |
| 2022 | Investigating Multimodal Predictors of Peer Satisfaction for Collaborative Coding in Middle School. Yingbo Ma, Gloria Ashiya Katuka, Mehmet Celepkolu, Kristy Elizabeth Boyer |
| 2022 | Investigating Temporal Dynamics Underlying Successful Collaborative Problem Solving Behaviors with Multilevel Vector Autoregression. Guojing Zhou, Robert Moulder, Chen Sun, Sidney D'Mello |
| 2022 | Investigating learners' Cognitive Engagement in Python Programming using ICAP framework. Daevesh Kumar Singh, Ramkumar Rajendran |
| 2022 | Investigating the effect of Automated Feedback on learning behavior in MOOCs for programming. Hagit Gabbay, Anat Cohen |
| 2022 | Is there Method in Your Mistakes? Capturing Error Contexts by Graph Mining for Targeted Feedback. Maximilian Jahnke, Frank Höppner |
| 2022 | Item Response Theory-Based Gaming Detection. Yun Huang, Steven Dang, J. Elizabeth Richey, Michael W. Asher, Nikki G. Lobczowski, Danielle R. Chine, Elizabeth A. McLaughlin, Judith M. Harackiewicz, Vincent Aleven, Kenneth R. Koedinger |
| 2022 | Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring. Raysa Rivera-Bergollo, Sami Baral, Anthony Botelho, Neil T. Heffernan |
| 2022 | Linguistic Profiles of Students Interacting with Conversation-Based Assessment Systems. Carol Forsyth, Jesse R. Sparks, Jonathan Steinberg, Laura McCulla |
| 2022 | Log mining for course recommendation in limited information scenarios. Juan Camilo Sanguino, Rubén Manrique, Olga Mariño, Mario Linares, Nicolás Cardozo |
| 2022 | Looking for the best data fusion model in Smart Learning Environments for detecting at risk university students. Cristóbal Romero, Wilson Chango, Rebeca Cerezo |
| 2022 | MOOC-Rec: Instructional Video Clip Recommendation for MOOC Forum Questions. Peide Zhu, Claudia Hauff, Jie Yang |
| 2022 | Mining Artificially Generated Data to Estimate Competency. Robby Robson, Benjamin Goldberg, Shelly Blake-Plock, Cliff Casey, William Hoyt, Mike Hernandez, Fritz Ray |
| 2022 | Mining Assignment Submission Time to Detect At-Risk Students with Peer Information. Yuancheng Wang, Nanyu Luo, Jianjun Zhou |
| 2022 | Mining and Assessing Anomalies in Students' Online Learning Activities with Self-supervised Machine Learning. Lan Jiang, Nigel Bosch |
| 2022 | Modeling Cognitive Load and Affect to Support Adaptive Online Learning. Minghao Cai, Carrie Demmans Epp |
| 2022 | Modeling One-on-one Online Tutoring Discourse using an Accountable Talk Framework. Renu Balyan, Tracy Arner, Karen Taylor, Jinnie Shin, Michelle P. Banawan, Walter L. Leite, Danielle S. McNamara |
| 2022 | Modeling study duration considering course enrollments and student diversity. Niels Seidel |
| 2022 | Modifying Deep Knowledge Tracing for Multi-step Problems. Qiao Zhang, Zeyu Chen, Natasha Lalwani, Christopher MacLellan |
| 2022 | Neural Recall Network: A Neural Network Solution to Low Recall Problem in Regex-based Qualitative Coding. Zhiqiang Cai, Cody Marquart, David W. Shaffer |
| 2022 | No Meaning Left Unlearned: Predicting Learners' Knowledge of Atypical Meanings of Words from Vocabulary Tests for Their Typical Meanings. Yo Ehara |
| 2022 | Online Item Response Theory (OIRT) - Tracking Student Abilities in Online Learning System. Luyao Peng, Chengzhi Wei |
| 2022 | Optimizing Representations and Policies for Question Sequencing using Reinforcement Learning. Aqil Zainal Azhar, Avi Segal, Kobi Gal |
| 2022 | Personalized and Explainable Course Recommendations for Students at Risk of Dropping out. Kerstin Wagner, Agathe Merceron, Petra Sauer, Niels Pinkwart |
| 2022 | Predicting Cognitive Engagement in Online Course Discussion Forums. Guher Gorgun, Seyma Nur Yildirim-Erbasli, Carrie Demmans Epp |
| 2022 | Predicting Reading Comprehension Scores of Elementary School Students. Yuyang Nie, Helene Deacon, Alona Fyshe, Carrie Demmans Epp |
| 2022 | Preliminary Experiments with Transformer based Approaches To Automatically Inferring Domain Models from Textbooks. Rabin Banjade, Priti Oli, Lasang Jimba Tamang, Vasile Rus |
| 2022 | Proceedings of the 15th International Conference on Educational Data Mining, EDM 2022, Durham, UK, July 24-27, 2022 Antonija Mitrovic, Nigel Bosch, Alexandra I. Cristea, Chris Brown |
| 2022 | Process-BERT: A Framework for Representation Learning on Educational Process Data. Alexander Scarlatos, Christopher Brinton, Andrew S. Lan |
| 2022 | Recommendation System of Mobile Language Learning Applications: Similarity versus Diversity in Learner Preference. Juyeong Song, Kisu Yang, Hyeji Jang, Hyo-Jeong So |
| 2022 | Rethinking Accessibility: Applications in Educational Data Mining (Canceled). Juanita Hicks, Ruhan Circi, Burhan Ogut, Michelle Yin, Darrick Yee |
| 2022 | SQL-DP: A Novel Difficulty Prediction Framework for SQL Programming Problems. Jia Xu, Tingting Wei, Pin Lv |
| 2022 | Selecting Reading Texts Suitable for Incidental Vocabulary Learning by Considering the Estimated Distribution of Acquired Vocabulary. Yo Ehara |
| 2022 | Simulating Policy Changes in Prerequisite-Free Curricula: A Supervised Data-Driven Approach. Frederik Baucks, Laurenz Wiskott |
| 2022 | Skills Taught vs Skills Sought: Using Skills Analytics to Identify the Gaps between Curriculum and Job Markets. Alireza Ahadi, Kirsty Kitto, Marian-Andrei Rizoiu, Katarzyna Musial |
| 2022 | Sparse Factor Autoencoders for Item Response Theory. Benjamin Paaßen, Malwina Dywel, Melanie Fleckenstein, Niels Pinkwart |
| 2022 | Student Perception on the Effectiveness of On-Demand Assistance in Online Learning Platforms. Aaron Haim, Neil T. Heffernan |
| 2022 | Supervised Machine Learning for Modelling STEM Career and Education Interest in Irish School Children. Annika Lindh, Keith Quille, Aidan Mooney, Kevin Marshall, Katriona O'Sullivan |
| 2022 | The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues. Anaïs Tack, Chris Piech |
| 2022 | The Impact of Semester Gaps on Student Grades. Gary Weiss, Joseph Denham, Daniel D. Leeds |
| 2022 | The Third Workshop of the Learner Data Institute: Big Data, Research Challenges, \& Science Convergence in Educational Data Science. Vasile Rus, Stephen Fancsali |
| 2022 | Theory-Informed Problem-Solving Sequential Pattern Visualization. Zilong Pan, Min Liu |
| 2022 | Toward Better Grade Prediction via A2GP - An Academic Achievement Inspired Predictive Model. Wei Qiu, S. Supraja, Andy W. H. Khong |
| 2022 | Towards Automated Generation and Evaluation of Questions in Educational Domains. Shravya Bhat, Huy Anh Nguyen, Steven Moore, John C. Stamper, Majd Sakr, Eric Nyberg |
| 2022 | Towards Including Instructor Features in Student Grade Prediction. Nathan Ong, Jiaye Zhu, Daniel Mossé |
| 2022 | Towards Personalised Learning of Psychomotor Skills with Data Mining. Miguel Portaz, Olga C. Santos |
| 2022 | Towards Real Interpretability of Student Success Prediction Combining Methods of XAI and Social Science. Lea Cohausz |
| 2022 | Towards the understanding of cultural differences in between gamification preferences: A data-driven comparison between the US and Brazil. Armando M. Toda, Ana C. T. Klock, Filipe Dwan Pereira, Luiz A. L. Rodrigues, Paula Toledo Palomino, Vinícius Lopes, Craig D. Stewart, Elaine H. T. Oliveira, Isabela Gasparini, Seiji Isotani, Alexandra I. Cristea |
| 2022 | Using AI, ML and Sentiment Analysis to Increase Diversity and Equity in Technology Training and Careers. Jonathan Young, Sue Black, Alexandra I. Cristea, Ryan Hodgson, Cristina Todor |
| 2022 | Using Machine Learning Explainability Methods to Personalize Interventions for Students. Paul Hur, Haejin Lee, Suma Bhat, Nigel Bosch |
| 2022 | Using Markov Models and Random Walks to Examine Strategy Use of More or Less Successful Comprehenders. Katerina Christhilf, Natalie Newton, Reese Butterfuss, Kathryn S. McCarthy, Laura K. Allen, Joseph P. Magliano, Danielle S. McNamara |
| 2022 | Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags. Shamya Karumbaiah, Jiayi Zhang, Ryan Baker, Richard Scruggs, Whitney L. Cade, Margaret Clements, Shuqiong Lin |
| 2022 | Using a Randomized Experiment to Compare the Performance of Two Adaptive Assessment Engines. Jeffrey Matayoshi, Hasan Uzun, Eric Cosyn |
| 2022 | Using community-based problems to increase motivation in a data science virtual internship. Jillian Christine Johnson, Andrew Olney |
| 2022 | Using the Open Science Framework to promote Open Science in Education Research. Stacy T. Shaw, Adam Sales |