On Baier's Sort of Maximal Lyndon Substrings. - Frantisek Franek; Michael Liut; William F. Smyth (Stringology, 2018)

Algorithms to Compute the Lyndon Array Revisited. - Frantisek Franek; Michael Liut (Stringology, 2019)

Selection of Code Segments for Exclusion from Code Similarity Detection. - Simon; Oscar Karnalim; Judy Sheard; Ilir Dema; Amey Karkare; Juho Leinonen 001; Michael Liut; Renée McCauley (ITiCSE, 2020)

Choosing Code Segments to Exclude from Code Similarity Detection. - Simon; Oscar Karnalim; Judy Sheard; Ilir Dema; Amey Karkare; Juho Leinonen 001; Michael Liut; Renée McCauley (ITiCSE-WGR, 2020)

Computing Maximal Lyndon Substrings of a String. - Frantisek Franek; Michael Liut (Algorithms, 2020)

Comparing and Evaluating Indoor Positioning Techniques. - Ali Raza; Lazar Lolic; Shahmir Akhter; Michael Liut (IPIN, 2021)

Spatial Skills and Demographic Factors in CS1. - Anna Ly; Jack Parkinson; Quintin I. Cutts; Michael Liut; Andrew Petersen 001 (Koli Calling, 2021)

Building a Better SQL Automarker for Database Courses. - Muyu Wang; Naaz Sibia; Ilir Dema; Michael Liut; Carlos Aníbal Suárez (Koli Calling, 2021)

A Multi-Course Report on the Experience of Unplanned Online Exams. - Larry Yueli Zhang; Andrew K. Petersen; Michael Liut; Bogdan Simion; Furkan Alaca (SIGCSE, 2021)

Revisiting Syntax Exercises in CS1. - Anna Ly; John Edwards 002; Michael Liut; Andrew Petersen 001 (SIGITE, 2021)

Computational Substantiation of the d-step Conjecture for Distinct Squares Revisited. - Frantisek Franek; Michael Liut (Stringology, 2021)

Practice report: six studies of spatial skills training in introductory computer science. - Jack Parkinson; Ryan Bockmon; Quintin I. Cutts; Michael Liut; Andrew Petersen 001; Sheryl A. Sorby (Inroads, 2021)

The Positive Effects of using Reflective Prompts in a Database Course. - Naaz Sibia; Michael Liut (DataEd@SIGMOD, 2022)

Additional Evidence for the Prevalence of the Impostor Phenomenon in Computing. - Angela M. Zavaleta Bernuy; Anna Ly; Brian Harrington 001; Michael Liut; Andrew Petersen 001; Sadia Sharmin; Lisa Zhang (SIGCSE (1), 2022)

Investigating the Impact of Voice Response Options in Surveys. - Pan Chen; Naaz Sibia; Angela M. Zavaleta Bernuy; Michael Liut; Joseph Jay Williams (SIGCSE (2), 2022)

Deep Camera Pose Regression Using Pseudo-LiDAR. - Ali Raza; Lazar Lolic; Shahmir Akhter; Alfonso Dela Cruz; Michael Liut (CoRR, 2022)

Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits. - Fernando J. Yanez; Angela M. Zavaleta Bernuy; Ziwen Han; Michael Liut; Anna N. Rafferty; Joseph Jay Williams (CoRR, 2022)

Report on the First International Workshop on Data Systems Education (DataEd '22). - Efthimia Aivaloglou; George Fletcher 001; Michael Liut; Daphne Miedema (SIGMOD Rec., 2022)

Using A/B Testing as a Pedagogical Tool for Iterative Design in HCI Classrooms. - Mohi Reza; Ilya Musabirov; Nathan Laundry; Michael Liut; Joseph Jay Williams (EduCHI, 2023)

MSMI1: Towards a Validated SQL Misconceptions Instrument. - Daphne Miedema; Michael Liut; George Fletcher 001; Efthimia Aivaloglou (ICER (2), 2023)

"I Am Not Enough": Impostor Phenomenon Experiences of University Students. - Angela M. Zavaleta Bernuy; Anna Ly; Brian Harrington 001; Michael Liut; Sadia Sharmin; Lisa Zhang; Andrew Petersen 001 (ITiCSE (1), 2023)

VoiceEx: Voice Submission System for Interventions in Education. - Angela M. Zavaleta Bernuy; Naaz Sibia; Pan Chen; Chloe Huang; Andrew Petersen 001; Joseph Jay Williams; Michael Liut (ITiCSE (2), 2023)

Self-Explanation Modality: Effects on Student Performance? - Angela M. Zavaleta Bernuy; Jessica Jia-Ni Xu; Naaz Sibia; Joseph Jay Williams; Andrew Petersen 001; Michael Liut (ITiCSE (2), 2023)

Building Recommendations for Conducting Equity-Focused, High Quality K-12 Computer Science Education Research. - Monica M. McGill; Sarah Heckman; Christos Chytas; Lien Diaz; Michael Liut; Vera A. Kazakova; Ismaila Temitayo Sanusi; Selina Marianna Shah; Claudia Szabo (ITiCSE (2), 2023)

Conducting Sound, Equity-Enabling Computing Education Research. - Monica M. McGill; Sarah Heckman; Christos Chytas; Michael Liut; Vera A. Kazakova; Ismaila Temitayo Sanusi; Selina Marianna Shah; Claudia Szabo (ITiCSE-WGR, 2023)

Student Usage of Q&A Forums: Signs of Discomfort? - Naaz Sibia; Angela M. Zavaleta Bernuy; Joseph Jay Williams; Michael Liut; Andrew K. Petersen (ITiCSE (1), 2023)

"There is no ambiguity on what to return": Investigating the Prevalence of SQL Misconceptions. - Daphne Miedema; Michael Liut; George H. L. Fletcher; Efthimia Aivaloglou (Koli Calling, 2023)

Do Students Read Instructor Emails? A Case Study of Intervention Email Open Rates. - Angela M. Zavaleta Bernuy; Runlong Ye 002; Elexandra Tran; Naaz Sibia; Abhijoy Mandal; Hammad Shaikh; Bogdan Simion; Michael Liut; Andrew Petersen 001; Joseph Jay Williams (Koli Calling, 2023)

Prior Programming Experience: A Persistent Performance Gap in CS1 and CS2. - Giang Bui; Naaz Sibia; Angela M. Zavaleta Bernuy; Michael Liut; Andrew Petersen 001 (SIGCSE (1), 2023)

A Case Study in Opportunities for Adaptive Experiments to Enable Rapid Continuous Improvement. - Ilya Musabirov; Angela M. Zavaleta Bernuy; Michael Liut; Joseph Jay Williams (SIGCSE (2), 2023)

Investigating Subject Lines Length on Students' Email Open Rates. - Elexandra Tran; Angela M. Zavaleta Bernuy; Bogdan Simion; Michael Liut; Andrew Petersen 001; Joseph Jay Williams (SIGCSE (2), 2023)

Designing, Deploying, and Analyzing Adaptive Educational Field Experiments. - Joseph Jay Williams; Nathan Laundry; Ilya Musabirov; Angela M. Zavaleta Bernuy; Michael Liut (SIGCSE (2), 2023)

ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models. - Mohi Reza; Nathan Laundry; Ilya Musabirov; Peter Dushniku; Zhi Yuan "Michael" Yu; Kashish Mittal; Tovi Grossman; Michael Liut; Anastasia Kuzminykh; Joseph Jay Williams (CoRR, 2023)

Opportunities for Adaptive Experiments to Enable Continuous Improvement that Trades-off Instructor and Researcher Incentives. - Ilya Musabirov; Angela M. Zavaleta Bernuy; Pan Chen; Michael Liut; Joseph Jay Williams (CoRR, 2023)

Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception. - Harsh Kumar; Ilya Musabirov; Mohi Reza; Jiakai Shi; Anastasia Kuzminykh; Joseph Jay Williams; Michael Liut (CoRR, 2023)

Does the Medium Matter? An Exploration of Voice-Interaction for Self-Explanations. - Angela M. Zavaleta Bernuy; Naaz Sibia; Pan Chen; Jessica Jia-Ni Xu; Elexandra Tran; Runlong Ye 002; Viktoria Pammer-Schindler; Andrew Petersen 001; Joseph Jay Williams; Michael Liut (Conference on Designing Interactive Systems, 2024)

Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination. - Ananya Bhattacharjee; Yuchen Zeng; Sarah Yi Xu; Dana Kulzhabayeva; Minyi Ma; Rachel Kornfield; Syed Ishtiaque Ahmed; Alex Mariakakis; Mary P. Czerwinski; Anastasia Kuzminykh; Michael Liut; Joseph Jay Williams (CHI, 2024)

ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models. - Mohi Reza; Nathan M. Laundry; Ilya Musabirov; Peter Dushniku; Zhi Yuan "Michael" Yu; Kashish Mittal; Tovi Grossman; Michael Liut; Anastasia Kuzminykh; Joseph Jay Williams (CHI, 2024)

Detecting LLM-Generated Text in Computing Education: Comparative Study for ChatGPT Cases. - Michael Sheinman Orenstrakh; Oscar Karnalim; Carlos Aníbal Suárez; Michael Liut (COMPSAC, 2024)

Exploring Self-Explanations in a Flipped Database Course. - Naaz Sibia; Angela M. Zavaleta Bernuy; Elexandra Tran; Jessica Jia-Ni Xu; Joseph Jay Williams; Andrew Petersen 001; Michael Liut (DataEd@SIGMOD, 2024)

A Preliminary Analysis of Students' Help Requests with an LLM-powered Chatbot when Completing CS1 Assignments. - Ruiwei Xiao; Xinying Hou; Harsh Kumar; Steven Moore; John C. Stamper; Michael Liut (CSEDM@EDM, 2024)

Exploring the Effects of Grouping by Programming Experience in Q&A Forums. - Naaz Sibia; Angela M. Zavaleta Bernuy; Tiana V. Simovic; Chloe Huang; Yinyue Tan; Eunchae Seong; Carolina Nobre; Daniel Zingaro; Michael Liut; Andrew Petersen 001 (ICER (1), 2024)

Can Small Language Models With Retrieval-Augmented Generation Replace Large Language Models When Learning Computer Science? - Suqing Liu; Zezhu Yu; Feiran Huang; Yousef Bulbulia; Andreas Bergen; Michael Liut (ITiCSE (1), 2024)

Curriculum Analysis for Data Systems Education. - Daphne Miedema; Toni Taipalus; Vangel V. Ajanovski; Abdussalam Alawini; Martin Goodfellow; Michael Liut; Svetlana Peltsverger; Tiffany Young (ITiCSE (2), 2024)

Data Systems Education: Curriculum Recommendations, Course Syllabi, and Industry Needs. - Daphne Miedema; Toni Taipalus; Vangel V. Ajanovski; Abdussalam Alawini; Martin Goodfellow; Michael Liut; Svetlana Peltsverger; Tiffany Young (ITiCSE-WGR, 2024)

Exploring the Impact of Multiple Representations in Introductory Programming: A Pilot Study. - Naaz Sibia; Valeria Ramirez Osorio; Angela M. Zavaleta Bernuy; Efthimia Aivaloglou; Rutwa Engineer; Andrew Petersen 001; Michael Liut; Carolina Nobre (Koli Calling, 2024)

Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. - Harsh Kumar; Ruiwei Xiao; Benjamin Lawson; Ilya Musabirov; Jiakai Shi; Xinyuan Wang; Huayin Luo; Joseph Jay Williams; Anna N. Rafferty; John C. Stamper; Michael Liut (L@S, 2024)

Student Interaction with Instructor Emails in Introductory and Upper-Year Computing Courses. - Angela M. Zavaleta Bernuy; Runlong Ye 002; Naaz Sibia; Rohita Nalluri; Joseph Jay Williams; Andrew Petersen 001; Eric Smith; Bogdan Simion; Michael Liut (SIGCSE (1), 2024)

Do Hints Enhance Learning in Programming Exercises? Exploring Students' Problem-Solving and Interactions. - Giang Bui; Nicholas Susanto; Naaz Sibia; Angela M. Zavaleta Bernuy; Michael Liut; Andrew Petersen 001 (SIGCSE (2), 2024)

"I Didn't Know": Examining Student Understanding of Academic Dishonesty in Computer Science. - Michael Liut; Anna Ly; Jessica Jia-Ni Xu; Justice Banson; Paul Vrbik; Caroline D. Hardin (SIGCSE (1), 2024)

Unlocking Excellence in Educational Research: Guidelines for High-Quality Research that Promotes Learning for All. - Monica M. McGill; Sarah Heckman; Michael Liut; Ismaila Temitayo Sanusi; Claudia Szabo (SIGCSE (2), 2024)

Examining Intention to Major in Computer Science: Perceived Potential and Challenges. - Naaz Sibia; Giang Bui; Bingcheng Wang; Yinyue Tan; Angela M. Zavaleta Bernuy; Christina Bauer; Joseph Jay Williams; Michael Liut; Andrew Petersen 001 (SIGCSE (1), 2024)

Third International Workshop on Data Systems Education (DataEd'24). - Daphne Miedema; Sourav S. Bhowmick; Michael Liut (SIGMOD Conference Companion, 2024)

Student Transitions Through an Entire Computing Program. - Angela M. Zavaleta Bernuy; Andrew Chung; Alana Hodge; Ayesha Tayyiba; Michael Liut; Andrew Petersen 001 (WCCCE, 2024)

Opportunities for Adaptive Experiments to Enable Continuous Improvement in Computer Science Education. - Ilya Musabirov; Angela M. Zavaleta Bernuy; Pan Chen; Michael Liut; Joseph Jay Williams (WCCCE, 2024)

"It Explains What I am Currently Going Through Perfectly to a Tee": Understanding User Perceptions on LLM-Enhanced Narrative Interventions. - Ananya Bhattacharjee; Sarah Yi Xu; Pranav Rao; Yuchen Zeng; Jonah Meyerhoff; Syed Ishtiaque Ahmed; David C. Mohr; Michael Liut; Alex Mariakakis; Rachel Kornfield; Joseph Jay Williams (CoRR, 2024)

Guiding Students in Using LLMs in Supported Learning Environments: Effects on Interaction Dynamics, Learner Performance, Confidence, and Trust. - Harsh Kumar; Ilya Musabirov; Mohi Reza; Jiakai Shi; Xinyuan Wang; Joseph Jay Williams; Anastasia Kuzminykh; Michael Liut (Proc. ACM Hum. Comput. Interact., 2024)

Perfectly to a Tee: Understanding User Perceptions of Personalized LLM-Enhanced Narrative Interventions. - Ananya Bhattacharjee; Sarah Yi Xu; Pranav Rao; Yuchen Zeng; Jonah Meyerhoff; Syed Ishtiaque Ahmed; David C. Mohr; Michael Liut; Alex Mariakakis; Rachel Kornfield; Joseph Jay Williams (Conference on Designing Interactive Systems, 2025)

What if (Everyday) Technologies were Designed for Learning? Towards "Support for Learning" as a Design Goal for Every(day) Technology. - Viktoria Pammer-Schindler; Michael Liut; Tobias Ley (CHI Extended Abstracts, 2025)

Summarizing Computer Science Teaching Assistant Feedback with Large Language Models. - Suqing Liu; Lisa Zhang; Oscar Karnalim; Michael Liut (COMPSAC, 2025)

Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries. - Harsh Kumar; Mohi Reza; Jeb Thomas-Mitchell; Ilya Musabirov; Lisa Zhang; Michael Liut (DataEd@SIGMOD, 2025)

Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback. - Victor-Alexandru Padurean; Tung Phung; Nachiket Kotalwar; Michael Liut; Juho Leinonen 001; Paul Denny 001; Adish Singla (EDM, 2025)

Assessment of Algorithmic Abstraction Skills in Higher Education: An Application of the PGK Framework. - Xiaoling Zhang; Efthimia Aivaloglou; Michael Liut; Marcus Specht (EDUCON, 2025)

A Comparison of On-Demand Hints and Progress Bar Feedback on Programming Exercises. - Inaas Asad; Naaz Sibia; Angela M. Zavaleta Bernuy; Michael Liut; Thomas W. Price; Andrew Petersen 001 (ITiCSE (2), 2025)

Self-Explanations: Does Timing Matter? - Jessica Wen; Bianca Arteaga Alvarez; Jorge Moreno Velasco; Naaz Sibia; Angela M. Zavaleta Bernuy; Carlos Suarez Hernandez; Andrew Petersen 001; Michael Liut (ITiCSE (2), 2025)

Enhancing Self-Explanation in Student Learning Through Large Language Models. - Jessica Wen; Angela M. Zavaleta Bernuy; Naaz Sibia; Andrew Petersen 001; Michael Liut (ITiCSE (2), 2025)

Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge. - Ilya Musabirov; Mohi Reza; Haochen Song; Steven Moore; Pan Chen; Harsh Kumar; Tong Li; John C. Stamper; Norman L. Bier; Anna N. Rafferty; Thomas W. Price; Nina Deliu; et al. (LAK, 2025)

Understanding the Impact of Using Generative AI Tools in a Database Course. - Valeria Ramirez Osorio; Angela M. Zavaleta Bernuy; Bogdan Simion; Michael Liut (SIGCSE (1), 2025)

Reducing Isolation through Peer-Modeled Posts. - Naaz Sibia; Angela M. Zavaleta Bernuy; Amber Richardson; Khushi Malik; Prajna Pendharkar; Carolina Nobre; Michael Liut; Andrew Petersen 001 (SIGCSE (2), 2025)

Integrating Small Language Models with Retrieval-Augmented Generation in Computing Education: Key Takeaways, Setup, and Practical Insights. - Zezhu Yu; Suqing Liu; Paul Denny 001; Andreas Bergen; Michael Liut (SIGCSE (1), 2025)

Fourth International Workshop on Data Systems Education (DataEd'25). - Michael Liut; Sourav S. Bhowmick; Abdussalam Alawini (SIGMOD Conference Companion, 2025)

The Design Space of Recent AI-assisted Research Tools for Ideation, Sensemaking, and Scientific Creativity. - Runlong (Harry) Ye; Matthew Varona; Oliver Huang; Patrick Yung Kang Lee; Michael Liut; Carolina Nobre (CoRR, 2025)

Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education. - Ruiwei Xiao; Xinying Hou; Runlong Ye 002; Majeed Kazemitabaar; Nicholas Diana; Michael Liut; John C. Stamper (CoRR, 2025)

Beyond Autocomplete: Designing CopilotLens Towards Transparent and Explainable AI Coding Agents. - Runlong Ye 002; Zeling Zhang; Boushra Almazroua; Michael Liut (CoRR, 2025)

TreeReader: A Hierarchical Academic Paper Reader Powered by Language Models. - Zijian Zhang; Pan Chen; Fangshi Du; Runlong Ye 002; Oliver Huang; Michael Liut; Alán Aspuru-Guzik (CoRR, 2025)

Automated Feedback on Student-Generated UML and ER Diagrams Using Large Language Models. - Sebastian Gürtl; Gloria Schimetta; David Kerschbaumer; Michael Liut; Alexander Steinmaurer (CoRR, 2025)