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ORCIDMichael Liut
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- affiliation: University of Toronto Mississauga, Canada
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2020 – today
- 2025
[c52]Viktoria Pammer-Schindler
, Michael Liut, Tobias Ley:
What if (Everyday) Technologies were Designed for Learning? Towards "Support for Learning" as a Design Goal for Every(day) Technology. CHI Extended Abstracts 2025: 595:1-595:7- [c51]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, Audrey Durand, Michael Liut, Joseph Jay Williams:
Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge. LAK 2025: 13-23 - [c50]Valeria Ramirez Osorio, Angela M. Zavaleta Bernuy, Bogdan Simion, Michael Liut:
Understanding the Impact of Using Generative AI Tools in a Database Course. SIGCSE (1) 2025: 959-965 - [c49]Zezhu Yu, Suqing Liu, Paul Denny, Andreas Bergen, Michael Liut:
Integrating Small Language Models with Retrieval-Augmented Generation in Computing Education: Key Takeaways, Setup, and Practical Insights. SIGCSE (1) 2025: 1302-1308 - [c48]Naaz Sibia, Angela M. Zavaleta Bernuy, Amber Richardson, Khushi Malik, Prajna Pendharkar, Carolina Nobre, Michael Liut, Andrew Petersen:
Reducing Isolation through Peer-Modeled Posts. SIGCSE (2) 2025: 1621-1622 - [i12]Runlong (Harry) Ye, Matthew Varona, Oliver Huang, Patrick Yung Kang Lee, Michael Liut, Carolina Nobre:
The Design Space of Recent AI-assisted Research Tools for Ideation, Sensemaking, and Scientific Creativity. CoRR abs/2502.16291 (2025) - 2024
- [j4]Harsh Kumar, Ilya Musabirov, Mohi Reza, Jiakai Shi, Xinyuan Wang, Joseph Jay Williams, Anastasia Kuzminykh, Michael Liut:
Guiding Students in Using LLMs in Supported Learning Environments: Effects on Interaction Dynamics, Learner Performance, Confidence, and Trust. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-30 (2024) - [c47]Angela M. Zavaleta Bernuy, Naaz Sibia, Pan Chen, Jessica Jia-Ni Xu, Elexandra Tran, Runlong Ye, Viktoria Pammer-Schindler, Andrew Petersen, Joseph Jay Williams, Michael Liut:
Does the Medium Matter? An Exploration of Voice-Interaction for Self-Explanations. Conference on Designing Interactive Systems 2024 - [c46]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:
Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination. CHI 2024: 15:1-15:18 - [c45]Mohi Reza, Nathan M. Laundry, Ilya Musabirov, Peter Dushniku, Zhi Yuan "Michael" Yu, Kashish Mittal, Tovi Grossman, Michael Liut, Anastasia Kuzminykh, Joseph Jay Williams:
ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models. CHI 2024: 1042:1-1042:18 - [c44]Michael Sheinman Orenstrakh, Oscar Karnalim, Carlos Aníbal Suárez, Michael Liut:
Detecting LLM-Generated Text in Computing Education: Comparative Study for ChatGPT Cases. COMPSAC 2024: 121-126 - [c43]Naaz Sibia, Angela M. Zavaleta Bernuy, Elexandra Tran, Jessica Jia-Ni Xu, Joseph Jay Williams, Andrew Petersen, Michael Liut:
Exploring Self-Explanations in a Flipped Database Course. DataEd@SIGMOD 2024 - [c42]Ruiwei Xiao, Xinying Hou, Harsh Kumar, Steven Moore, John C. Stamper, Michael Liut:
A Preliminary Analysis of Students' Help Requests with an LLM-powered Chatbot when Completing CS1 Assignments. CSEDM@EDM 2024 - [c41]Naaz Sibia, Angela M. Zavaleta Bernuy, Tiana V. Simovic, Chloe Huang, Yinyue Tan, Eunchae Seong, Carolina Nobre, Daniel Zingaro, Michael Liut, Andrew Petersen:
Exploring the Effects of Grouping by Programming Experience in Q&A Forums. ICER (1) 2024: 206-221 - [c40]Suqing Liu, Zezhu Yu, Feiran Huang, Yousef Bulbulia, Andreas Bergen, Michael Liut:
Can Small Language Models With Retrieval-Augmented Generation Replace Large Language Models When Learning Computer Science? ITiCSE (1) 2024 - [c39]Daphne Miedema, Toni Taipalus, Vangel V. Ajanovski, Abdussalam Alawini, Martin Goodfellow, Michael Liut, Svetlana Peltsverger, Tiffany Young:
Curriculum Analysis for Data Systems Education. ITiCSE (2) 2024 - [c38]Daphne Miedema, Toni Taipalus, Vangel V. Ajanovski, Abdussalam Alawini, Martin Goodfellow, Michael Liut, Svetlana Peltsverger, Tiffany Young:
Data Systems Education: Curriculum Recommendations, Course Syllabi, and Industry Needs. ITiCSE-WGR 2024: 95-123 - [c37]Naaz Sibia, Valeria Ramirez Osorio, Angela M. Zavaleta Bernuy, Efthimia Aivaloglou, Rutwa Engineer, Andrew Petersen, Michael Liut, Carolina Nobre:
Exploring the Impact of Multiple Representations in Introductory Programming: A Pilot Study. Koli Calling 2024: 25:1-25:2 - [c36]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:
Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. L@S 2024: 86-97 - [c35]Michael Liut, Anna Ly, Jessica Jia-Ni Xu, Justice Banson, Paul Vrbik, Caroline D. Hardin:
"I Didn't Know": Examining Student Understanding of Academic Dishonesty in Computer Science. SIGCSE (1) 2024: 757-763 - [c34]Naaz Sibia, Giang Bui, Bingcheng Wang, Yinyue Tan, Angela M. Zavaleta Bernuy, Christina Bauer, Joseph Jay Williams, Michael Liut, Andrew Petersen:
Examining Intention to Major in Computer Science: Perceived Potential and Challenges. SIGCSE (1) 2024: 1237-1243 - [c33]Angela M. Zavaleta Bernuy, Runlong Ye, Naaz Sibia, Rohita Nalluri, Joseph Jay Williams, Andrew Petersen, Eric Smith, Bogdan Simion, Michael Liut:
Student Interaction with Instructor Emails in Introductory and Upper-Year Computing Courses. SIGCSE (1) 2024: 1477-1483 - [c32]Giang Bui, Nicholas Susanto, Naaz Sibia, Angela M. Zavaleta Bernuy, Michael Liut, Andrew Petersen:
Do Hints Enhance Learning in Programming Exercises? Exploring Students' Problem-Solving and Interactions. SIGCSE (2) 2024: 1578-1579 - [c31]Monica M. McGill, Sarah Heckman, Michael Liut, Ismaila Temitayo Sanusi, Claudia Szabo:
Unlocking Excellence in Educational Research: Guidelines for High-Quality Research that Promotes Learning for All. SIGCSE (2) 2024: 1871-1872 - [c30]Daphne Miedema, Sourav S. Bhowmick, Michael Liut:
Third International Workshop on Data Systems Education (DataEd'24). SIGMOD Conference Companion 2024: 659-660 - [c29]Ilya Musabirov, Angela M. Zavaleta Bernuy, Pan Chen, Michael Liut, Joseph Jay Williams:
Opportunities for Adaptive Experiments to Enable Continuous Improvement in Computer Science Education. WCCCE 2024: 4:1-4:7 - [c28]Angela M. Zavaleta Bernuy, Andrew Chung, Alana Hodge, Ayesha Tayyiba, Michael Liut, Andrew Petersen:
Student Transitions Through an Entire Computing Program. WCCCE 2024: 5:1-5:7 - [e1]Daphne Miedema, Sourav S. Bhowmick, Michael Liut:
Proceedings of the 3rd International Workshop on Data Systems Education: Bridging education practice with education research, DataEd 2024, Santiago, Chile, June 9-15, 2024. ACM 2024 [contents] - [i11]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:
Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. CoRR abs/2406.07571 (2024) - [i10]Harsh Kumar, Mohi Reza, Jeb Mitchell, Ilya Musabirov, Lisa Zhang, Michael Liut:
Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries. CoRR abs/2408.08401 (2024) - [i9]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:
"It Explains What I am Currently Going Through Perfectly to a Tee": Understanding User Perceptions on LLM-Enhanced Narrative Interventions. CoRR abs/2409.16732 (2024) - 2023
- [c27]Mohi Reza, Ilya Musabirov, Nathan Laundry, Michael Liut, Joseph Jay Williams:
Using A/B Testing as a Pedagogical Tool for Iterative Design in HCI Classrooms. EduCHI 2023: 43-48 - [c26]Daphne Miedema, Michael Liut, George Fletcher, Efthimia Aivaloglou:
MSMI1: Towards a Validated SQL Misconceptions Instrument. ICER (2) 2023: 16-17 - [c25]Monica M. McGill, Sarah Heckman, Christos Chytas, Michael Liut, Vera A. Kazakova, Ismaila Temitayo Sanusi, Selina Marianna Shah, Claudia Szabo:
Conducting Sound, Equity-Enabling Computing Education Research. ITiCSE-WGR 2023: 30-56 - [c24]Naaz Sibia, Angela M. Zavaleta Bernuy, Joseph Jay Williams, Michael Liut, Andrew K. Petersen:
Student Usage of Q&A Forums: Signs of Discomfort? ITiCSE (1) 2023: 33-39 - [c23]Angela M. Zavaleta Bernuy, Anna Ly, Brian Harrington, Michael Liut, Sadia Sharmin, Lisa Zhang, Andrew Petersen:
"I Am Not Enough": Impostor Phenomenon Experiences of University Students. ITiCSE (1) 2023: 313-319 - [c22]Monica M. McGill, Sarah Heckman, Christos Chytas, Lien Diaz, Michael Liut, Vera A. Kazakova, Ismaila Temitayo Sanusi, Selina Marianna Shah, Claudia Szabo:
Building Recommendations for Conducting Equity-Focused, High Quality K-12 Computer Science Education Research. ITiCSE (2) 2023: 565-566 - [c21]Angela M. Zavaleta Bernuy, Naaz Sibia, Pan Chen, Chloe Huang, Andrew Petersen, Joseph Jay Williams, Michael Liut:
VoiceEx: Voice Submission System for Interventions in Education. ITiCSE (2) 2023: 585-586 - [c20]Angela M. Zavaleta Bernuy, Jessica Jia-Ni Xu, Naaz Sibia, Joseph Jay Williams, Andrew Petersen, Michael Liut:
Self-Explanation Modality: Effects on Student Performance? ITiCSE (2) 2023: 641 - [c19]Daphne Miedema, Michael Liut, George H. L. Fletcher, Efthimia Aivaloglou:
"There is no ambiguity on what to return": Investigating the Prevalence of SQL Misconceptions. Koli Calling 2023: 10:1-10:12 - [c18]Angela M. Zavaleta Bernuy, Runlong Ye, Elexandra Tran, Naaz Sibia, Abhijoy Mandal, Hammad Shaikh, Bogdan Simion, Michael Liut, Andrew Petersen, Joseph Jay Williams:
Do Students Read Instructor Emails? A Case Study of Intervention Email Open Rates. Koli Calling 2023: 13:1-13:12 - [c17]Giang Bui, Naaz Sibia, Angela M. Zavaleta Bernuy, Michael Liut, Andrew Petersen:
Prior Programming Experience: A Persistent Performance Gap in CS1 and CS2. SIGCSE (1) 2023: 889-895 - [c16]Joseph Jay Williams, Nathan Laundry, Ilya Musabirov, Angela M. Zavaleta Bernuy, Michael Liut:
Designing, Deploying, and Analyzing Adaptive Educational Field Experiments. SIGCSE (2) 2023: 1179 - [c15]Ilya Musabirov, Angela M. Zavaleta Bernuy, Michael Liut, Joseph Jay Williams:
A Case Study in Opportunities for Adaptive Experiments to Enable Rapid Continuous Improvement. SIGCSE (2) 2023: 1279 - [c14]Elexandra Tran, Angela M. Zavaleta Bernuy, Bogdan Simion, Michael Liut, Andrew Petersen, Joseph Jay Williams:
Investigating Subject Lines Length on Students' Email Open Rates. SIGCSE (2) 2023: 1363 - [i8]Naaz Sibia, Angela M. Zavaleta Bernuy, Joseph Jay Williams, Michael Liut, Andrew Petersen:
Student Usage of Q&A Forums: Signs of Discomfort? CoRR abs/2305.18717 (2023) - [i7]Michael Sheinman Orenstrakh, Oscar Karnalim, Carlos Aníbal Suárez, Michael Liut:
Detecting LLM-Generated Text in Computing Education: A Comparative Study for ChatGPT Cases. CoRR abs/2307.07411 (2023) - [i6]Mohi Reza, Nathan Laundry, Ilya Musabirov, Peter Dushniku, Zhi Yuan "Michael" Yu, Kashish Mittal, Tovi Grossman, Michael Liut, Anastasia Kuzminykh, Joseph Jay Williams:
ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models. CoRR abs/2310.00117 (2023) - [i5]Ilya Musabirov, Angela M. Zavaleta Bernuy, Pan Chen, Michael Liut, Joseph Jay Williams:
Opportunities for Adaptive Experiments to Enable Continuous Improvement that Trades-off Instructor and Researcher Incentives. CoRR abs/2310.12324 (2023) - [i4]Harsh Kumar, Ilya Musabirov, Mohi Reza, Jiakai Shi, Anastasia Kuzminykh, Joseph Jay Williams, Michael Liut:
Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception. CoRR abs/2310.13712 (2023) - [i3]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:
Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination. CoRR abs/2312.13581 (2023) - 2022
- [j3]Efthimia Aivaloglou, George Fletcher, Michael Liut, Daphne Miedema:
Report on the First International Workshop on Data Systems Education (DataEd '22). SIGMOD Rec. 51(4): 49-53 (2022) - [c13]Naaz Sibia, Michael Liut:
The Positive Effects of using Reflective Prompts in a Database Course. DataEd@SIGMOD 2022: 32-37 - [c12]Angela M. Zavaleta Bernuy, Anna Ly, Brian Harrington, Michael Liut, Andrew Petersen, Sadia Sharmin, Lisa Zhang:
Additional Evidence for the Prevalence of the Impostor Phenomenon in Computing. SIGCSE (1) 2022: 654-660 - [c11]Pan Chen, Naaz Sibia, Angela M. Zavaleta Bernuy, Michael Liut, Joseph Jay Williams:
Investigating the Impact of Voice Response Options in Surveys. SIGCSE (2) 2022: 1124 - [i2]Ali Raza, Lazar Lolic, Shahmir Akhter, Alfonso Dela Cruz, Michael Liut:
Deep Camera Pose Regression Using Pseudo-LiDAR. CoRR abs/2203.00080 (2022) - [i1]Fernando J. Yanez, Angela M. Zavaleta Bernuy, Ziwen Han, Michael Liut, Anna N. Rafferty, Joseph Jay Williams:
Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits. CoRR abs/2208.05090 (2022) - 2021
- [j2]Jack Parkinson, Ryan Bockmon, Quintin I. Cutts, Michael Liut, Andrew Petersen, Sheryl A. Sorby:
Practice report: six studies of spatial skills training in introductory computer science. Inroads 12(4): 18-29 (2021) - [c10]Ali Raza, Lazar Lolic, Shahmir Akhter, Michael Liut:
Comparing and Evaluating Indoor Positioning Techniques. IPIN 2021: 1-8 - [c9]Anna Ly, Jack Parkinson, Quintin I. Cutts, Michael Liut, Andrew Petersen:
Spatial Skills and Demographic Factors in CS1. Koli Calling 2021: 4:1-4:10 - [c8]Muyu Wang, Naaz Sibia, Ilir Dema, Michael Liut, Carlos Aníbal Suárez:
Building a Better SQL Automarker for Database Courses. Koli Calling 2021: 37:1-37:3 - [c7]Larry Yueli Zhang, Andrew K. Petersen, Michael Liut, Bogdan Simion, Furkan Alaca:
A Multi-Course Report on the Experience of Unplanned Online Exams. SIGCSE 2021: 17-23 - [c6]Anna Ly, John Edwards, Michael Liut, Andrew Petersen:
Revisiting Syntax Exercises in CS1. SIGITE 2021: 9-14 - [c5]Frantisek Franek, Michael Liut:
Computational Substantiation of the d-step Conjecture for Distinct Squares Revisited. Stringology 2021: 41-52 - 2020
- [j1]Frantisek Franek, Michael Liut:
Computing Maximal Lyndon Substrings of a String. Algorithms 13(11): 294 (2020) - [c4]Simon, Oscar Karnalim, Judy Sheard, Ilir Dema, Amey Karkare, Juho Leinonen, Michael Liut, Renée McCauley:
Choosing Code Segments to Exclude from Code Similarity Detection. ITiCSE-WGR 2020: 1-19 - [c3]Simon, Oscar Karnalim, Judy Sheard, Ilir Dema, Amey Karkare, Juho Leinonen, Michael Liut, Renée McCauley:
Selection of Code Segments for Exclusion from Code Similarity Detection. ITiCSE 2020: 500-501
2010 – 2019
- 2019
- [c2]Frantisek Franek, Michael Liut:
Algorithms to Compute the Lyndon Array Revisited. Stringology 2019: 16-28 - 2018
- [c1]Frantisek Franek, Michael Liut, William F. Smyth:
On Baier's Sort of Maximal Lyndon Substrings. Stringology 2018: 63-78
Coauthor Index
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