| 2022 | Investigating Growth of Representational Competencies by Knowledge-Component Model. | Jihyun Rho, Martina A. Rau, Barry Vanveen |
| 2022 | Going beyond "Good Job": Analyzing Helpful Feedback from the Student's Perspective. | M. Parvez Rashid, Yunkai Xiao, Edward F. Gehringer |
| 2022 | Toward Better Grade Prediction via A2GP - An Academic Achievement Inspired Predictive Model. | Wei Qiu, S. Supraja, Andy W. H. Khong |
| 2022 | Exploring Common Trends in Online Educational Experiments. | Ethan Prihar, Manaal Syed, Korinn Ostrow, Stacy T. Shaw, Adam Sales, Neil T. Heffernan |
| 2022 | Identifying Explanations Within Student-Tutor Chat Logs. | Ethan Prihar, Alexander Moore, Neil T. Heffernan |
| 2022 | Towards Personalised Learning of Psychomotor Skills with Data Mining. | Miguel Portaz, Olga C. Santos |
| 2022 | Combining domain modelling and student modelling techniques in a single automated pipeline. | Gio Picones, Benjamin Paaen, Irena Koprinska, Kalina Yacef |
| 2022 | Addressing Competing Objectives in Allocating Funds to Scholarships and Need-based Financial Aid. | Vinthuy Phan, Laura Wright, Bridgette Decent |
| 2022 | Online Item Response Theory (OIRT) - Tracking Student Abilities in Online Learning System. | Luyao Peng, Chengzhi Wei |
| 2022 | Theory-Informed Problem-Solving Sequential Pattern Visualization. | Zilong Pan, Min Liu |
| 2022 | Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood Profile. | Benjamin Paaen, Christina Gpfert, Niels Pinkwart |
| 2022 | Sparse Factor Autoencoders for Item Response Theory. | Benjamin Paaen, Malwina Dywel, Melanie Fleckenstein, Niels Pinkwart |
| 2022 | Towards Including Instructor Features in Student Grade Prediction. | Nathan Ong, Jiaye Zhu, Daniel Moss |
| 2022 | Predicting Reading Comprehension Scores of Elementary School Students. | Yuyang Nie, Helene Deacon, Alona Fyshe, Carrie Demmans Epp |
| 2022 | Improving Peer Assessment with Graph Neural Networks. | Alireza A. Namanloo, Julie Thorpe, Amirali Salehi-Abari |
| 2022 | Detecting When a Learner Requires Assistance with Programming and Delivering a Useful Hint. | Marcus Messer |
| 2022 | Using a Randomized Experiment to Compare the Performance of Two Adaptive Assessment Engines. | Jeffrey Matayoshi, Hasan Uzun, Eric Cosyn |
| 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 | Investigating Multimodal Predictors of Peer Satisfaction for Collaborative Coding in Middle School. | Yingbo Ma, Gloria Ashiya Katuka, Mehmet Celepkolu, Kristy Elizabeth Boyer |
| 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 | Format-Aware Item Response Theory for Predicting Vocabulary Proficiency. | Boxuan Ma, Gayan Prasad Hettiarachchi, Yuji Ando |
| 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 | Automatical Graph-based Knowledge Tracing. | Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia, Zhicheng He, Ruiming Tang, Yong Yu |
| 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 | 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 |