| 2026 | AIED | Developing and Evaluating a Large Language Model-Based Tool for Qualitative Analysis of Teacher Interviews. | Mingyu Feng, Ethan Prihar, Natalie Brezack |
| 2025 | AIED | AI-Powered Math Learning: Evaluating the Impact of a Personalized Tutoring Platform that Responds to Affect. | Mingyu Feng, Natalie Brezack, Chunwei Huang, Megan Schneider, Ivon Arroyo, Beverly P. Woolf, Danielle Allessio |
| 2025 | AIED | Personalized Math Learning for Young Learners: Preliminary Findings from a Rigorous Study of a Game-Based Program. | Mingyu Feng, Linlin Li, Chunwei Huang, Natalie Brezack, Hee Jin Bang |
| 2025 | AIED | Empowering Teachers with Technology: A National Study on a Formative Assessment Platform. | Mingyu Feng, Linlin Li, Chunwei Huang, Natalie Brezack, Kim Luttgen |
| 2025 | AIED | From Sketch to Understanding: Exploring LLM-Based Assessment of Student-Drawn Science Models. | Andy Smith, Natalie Brezack, Wynnie Chan, Abby Lavine, Bradford W. Mott, Cathy Ringstaff, Mingyu Feng, James C. Lester |
| 2025 | LAK | Examining the Relationship between Math Anxiety, Effort, and Learning Outcomes Using Latent Class Analysis. | Melissa Lee, Chunwei Huang, Kelly Collins, Mingyu Feng |
| 2024 | EDM | Leveraging Large Language Models for Next-Generation Educational Technologies. | Neil T. Heffernan, Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace A. Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach A. Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew S. Lan, Lan Jiang, Mingyu Feng, Tanja Kser, Eamon Worden |
| 2024 | LAK | Student Effort and Progress Learning Analytics Data Inform Teachers' SEL Discussions in Math Class. | Natalie Brezack, Wynnie Chan, Mingyu Feng |
| 2023 | AIED | Promising Long Term Effects of ASSISTments Online Math Homework Support. | Mingyu Feng, Chunwei Huang, Kelly Collins |
| 2023 | AIED | Implementing and Evaluating ASSISTments Online Math Homework Support At large Scale over Two Years: Findings and Lessons Learned. | Mingyu Feng, Neil T. Heffernan, Kelly Collins, Cristina Heffernan, Robert F. Murphy |
| 2020 | CSEDU | Identifying Gaps in Use of and Research on Adaptive Learning Systems. | Shuai Wang, Claire Christensen, Elizabeth A. McBride, Hannah Kelly, Wei Cui, Richard Jiarui Tong, Linda Shear, Louise Yarnall, Mingyu Feng |
| 2019 | AIED | Using Exploratory Data Analysis to Support Implementation and Improvement of Education Technology Product. | Mingyu Feng, Daniel Brenner, Andrew Coulson |
| 2019 | CSEDU | Learning from an Adaptive Learning System: Student Profiling among Middle School Students. | Shuai Wang, Mingyu Feng, Marie A. Bienkowski, Claire Christensen, Wei Cui |
| 2018 | AIED | Adaptive Learning Goes to China. | Mingyu Feng, Wei Cui, Shuai Wang |
| 2018 | CSEDU | Yixue Adaptive Learning System and Its Promise on Improving Student Learning. | Haoyang Li, Wei Cui, Zhaohui Xu, Zhenyue Zhu, Mingyu Feng |
| 2016 | EDM | Investigating Gender Difference on Homework in Middle School Mathematics. | Mingyu Feng, Jeremy Roschelle, Craig Mason, Ruchi Bhanot |
| 2016 | EDM | Quantifying How Students Use an Online Learning System: A Focus on Transitions and Performance. | Erica L. Snow, Andrew E. Krumm, Timothy E. Podkul, Mingyu Feng, Alex J. Bowers |
| 2016 | LAK | Elaborating data intensive research methods through researcher-practitioner partnerships. | Mingyu Feng, Andrew E. Krumm, Alex J. Bowers, Timothy E. Podkul |
| 2014 | EDM | Towards Uncovering the Mysterious World of Math Homework. | Mingyu Feng |
| 2014 | ITS | Implementation of an Intelligent Tutoring System for Online Homework Support in an Efficacy Trial. | Mingyu Feng, Jeremy Roschelle, Neil T. Heffernan, Janet Fairman, Robert F. Murphy |
| 2011 | EDM | Comparing of Traditional Assessment with Dynamic Testing in a Tutoring System. | Mingyu Feng, Neil T. Heffernan, Zachary A. Pardos, Cristina Heffernan |
| 2010 | EDM | Can We Get Better Assessment From A Tutoring System Compared to Traditional Paper Testing? Can We Have Our Cake (Better Assessment) and Eat It too (Student Learning During the Test)? | Mingyu Feng, Neil T. Heffernan |
| 2010 | ITS | Can We Get Better Assessment from a Tutoring System Compared to Traditional Paper Testing? Can We Have Our Cake (Better Assessment) and Eat It too (Student Learning during the Test)? | Mingyu Feng, Neil T. Heffernan |
| 2010 | ITS | Using Data Mining Findings to Aid Searching for Better Cognitive Models. | Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger |
| 2009 | AIED | Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System. | Mingyu Feng, Neil T. Heffernan, Joseph E. Beck |
| 2009 | EDM | Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning. | Mingyu Feng, Joseph Beck, Neil T. Heffernan |
| 2008 | EDM | Can an Intelligent Tutoring System Predict Math Proficiency as Well as a Standarized Test?. | Mingyu Feng, Joseph E. Beck, Neil T. Heffernan, Kenneth R. Koedinger |
| 2008 | EDM | Can we predict which groups of questions students will learn from?. | Mingyu Feng, Neil T. Heffernan, Joseph E. Beck, Kenneth R. Koedinger |
| 2007 | AIED | Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects Methods. | Zachary A. Pardos, Mingyu Feng, Neil T. Heffernan, Cristina Linquist-Heffernan |
| 2006 | ITS | Predicting State Test Scores Better with Intelligent Tutoring Systems: Developing Metrics to Measure Assistance Required. | Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger |
| 2006 | WWW | Addressing the testing challenge with a web-based e-assessment system that tutors as it assesses. | Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger |
| 2005 | AIED | Blending Assessment and Instructional Assisting. | Leena M. Razzaq, Mingyu Feng, Goss Nuzzo-Jones, Neil T. Heffernan, Kenneth R. Koedinger, Brian Junker, Steven Ritter, Andrea Knight, Edwin Mercado, Terrence E. Turner, Ruta Upalekar, Jason A. Walonoski, Michael A. Macasek, Christopher Aniszczyk, Sanket Choksey, Tom Livak, Kai P. Rasmussen |