Michael Liut

101 papers A* 3A 5B 6C 3Misc 4Journal 31Unranked 47
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Comparative Study of Technical Writing Feedback Quality: Evaluating LLMs, SLMs, and Humans in Computer Science Topics.
CoRR
Suqing Liu, Bogdan Simion, Christopher Eaton, Michael Liut
2026 J jnl
Detecting GenAI assistance in programming assessments with over-uniqueness and sample matching.
Discov. Comput.
Oscar Karnalim, Hapnes Toba, Maresha Caroline Wijanto, Yehezkiel David Setiawan, Nico Surantha, Michael Liut
2026 J jnl
Exploring Emerging Norms of AI Disclosure in Programming Education.
CoRR
Runlong Ye, Oliver Huang, Jessica He, Michael Liut
2026 — conf
Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning.
SIGCSE (1)
Xinying Hou, Ruiwei Xiao, Runlong Ye, Michael Liut, John C. Stamper
2026 A conf
From Toil to Thought: Designing for Strategic Exploration and Responsible AI in Systematic Literature Reviews.
IUI
Runlong Ye, Naaz Sibia, Angela M. Zavaleta Bernuy, Tingting Zhu, Carolina Nobre, Viktoria Pammer-Schindler, Michael Liut
2026 J jnl
From Toil to Thought: Designing for Strategic Exploration and Responsible AI in Systematic Literature Reviews.
CoRR
Runlong Ye, Naaz Sibia, Angela M. Zavaleta Bernuy, Tingting Zhu, Carolina Nobre, Viktoria Pammer-Schindler, Michael Liut
2026 A* conf
Reflexis: Supporting Reflexivity and Rigor in Collaborative Qualitative Analysis though Design for Deliberation.
CHI
Runlong Ye, Oliver Huang, Patrick Yung Kang Lee, Michael Liut, Carolina Nobre, Ha-Kyung Kong
2026 J jnl
Reflexis: Supporting Reflexivity and Rigor in Collaborative Qualitative Analysis through Design for Deliberation.
CoRR
Runlong Ye, Oliver Huang, Patrick Yung Kang Lee, Michael Liut, Carolina Nobre, Ha-Kyung Kong
2026 J jnl
Transforming GenAI Policy to Prompting Instruction: An RCT of Scalable Prompting Interventions in a CS1 Course.
CoRR
Ruiwei Xiao, Runlong Ye, Xinying Hou, Jessica Wen, Harsh Kumar, Michael Liut, John C. Stamper
2026 J jnl
TreeWriter: AI-Assisted Hierarchical Planning and Writing for Long-Form Documents.
CoRR
Zijian Zhang, Fangshi Du, Xingjian Liu, Pan Chen, Oliver Huang, Runlong Ye, Michael Liut, Alán Aspuru-Guzik
2025 — conf
A Comparison of On-Demand Hints and Progress Bar Feedback on Programming Exercises.
ITiCSE (2)
Inaas Asad, Naaz Sibia, Angela M. Zavaleta Bernuy, Michael Liut, Thomas W. Price, Andrew Petersen
2025 C conf
Assessment of Algorithmic Abstraction Skills in Higher Education: An Application of the PGK Framework.
EDUCON
Xiaoling Zhang, Efthimia Aivaloglou, Michael Liut, Marcus Specht
2025 J jnl
Automated Feedback on Student-Generated UML and ER Diagrams Using Large Language Models.
CoRR
Sebastian Gürtl, Gloria Schimetta, David Kerschbaumer, Michael Liut, Alexander Steinmaurer
2025 J jnl
Beyond Autocomplete: Designing CopilotLens Towards Transparent and Explainable AI Coding Agents.
CoRR
Runlong Ye, Zeling Zhang, Boushra Almazroua, Michael Liut
2025 C conf
Codetierlist: Competitive Gamification's Impact on Self-Efficacy, Motivation, and Performance in Computing Education.
ACE
Yousef Bulbulia, Ido Ben Haim, Jackson Lee, Brian Zhang, Daksh Malhotra, Andrew Petersen, Michael Liut
2025 — conf
Enhancing Self-Explanation in Student Learning Through Large Language Models.
ITiCSE (2)
Jessica Wen, Angela M. Zavaleta Bernuy, Naaz Sibia, Andrew Petersen, Michael Liut
2025 J jnl
Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning.
CoRR
Xinying Hou, Ruiwei Xiao, Runlong Ye, Michael Liut, John C. Stamper
2025 — conf
Fourth International Workshop on Data Systems Education (DataEd'25).
SIGMOD Conference Companion
Michael Liut, Sourav S. Bhowmick, Abdussalam Alawini
2025 J jnl
From Code to Concept: Evaluating Multiple Coordinated Views in Introductory Programming.
CoRR
Naaz Sibia, Valeria Ramirez Osorio, Jessica Wen, Rutwa Engineer, Angela M. Zavaleta Bernuy, Andrew Petersen, Michael Liut, Carolina Nobre
2025 — conf
From State to Structure: Towards Abstraction Support in CS2.
Koli Calling
Naaz Sibia, Jessica Wen, Amber Richardson, Yashika Jain, Angela M. Zavaleta Bernuy, Bogdan Simion, Andrew Petersen, Carolina Nobre, Michael Liut
2025 B conf
Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback.
EDM
Victor-Alexandru Padurean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny, Adish Singla
2025 J jnl
Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback.
CoRR
Victor-Alexandru Padurean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny, Adish Singla
2025 J jnl
Improving SVM performance through data reduction and misclassification analysis with linear programming.
Complex Intell. Syst.
Carlos Aníbal Suárez, Mauricio Castro, Mariuxi Leon, Carlos Martín-Barreiro, Michael Liut
2025 J jnl
Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education.
CoRR
Ruiwei Xiao, Xinying Hou, Runlong Ye, Majeed Kazemitabaar, Nicholas Diana, Michael Liut, John C. Stamper
2025 — conf
Integrating Small Language Models with Retrieval-Augmented Generation in Computing Education: Key Takeaways, Setup, and Practical Insights.
SIGCSE (1)
Zezhu Yu, Suqing Liu, Paul Denny, Andreas Bergen, Michael Liut
2025 A conf
Perfectly to a Tee: Understanding User Perceptions of Personalized LLM-Enhanced Narrative Interventions.
Conference on Designing Interactive Systems
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
2025 A conf
Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge.
LAK
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
2025 — ed.
Proceedings of the 4th International Workshop on Data Systems Education: Bridging Education Practice with Education Research, DataEd 2025, Berlin, Germany, June 22-27, 2025
DataEd@SIGMOD
Michael Liut, Sourav S. Bhowmick, Abdussalam Alawini
2025 — conf
Reducing Isolation through Peer-Modeled Posts.
SIGCSE (2)
Naaz Sibia, Angela M. Zavaleta Bernuy, Amber Richardson, Khushi Malik, Prajna Pendharkar, Carolina Nobre, Michael Liut, Andrew Petersen
2025 — conf
Self-Explanations: Does Timing Matter?
ITiCSE (2)
Jessica Wen, Bianca Arteaga Alvarez, Jorge Moreno Velasco, Naaz Sibia, Angela M. Zavaleta Bernuy, Carlos Suarez Hernandez, Andrew Petersen, Michael Liut
2025 B conf
Summarizing Computer Science Teaching Assistant Feedback with Large Language Models.
COMPSAC
Suqing Liu, Lisa Zhang, Oscar Karnalim, Michael Liut
2025 J jnl
The Design Space of Recent AI-assisted Research Tools for Ideation, Sensemaking, and Scientific Creativity.
CoRR
Runlong (Harry) Ye, Matthew Varona, Oliver Huang, Patrick Yung Kang Lee, Michael Liut, Carolina Nobre
2025 — conf
The Impostor Phenomenon in the Global Computing Graduate Student Population.
CompEd (1)
Caroline Pechenik, Angela M. Zavaleta Bernuy, Selina Marianna Shah, Shirley de Wit, Emmanuel Awuni Kolog, Oscar Karnalim, Mohammed Farghally, Carlos Aníbal Suárez, Jack Parkinson, Leo Porter, Rodrigo Duran, Paul Vrbik, Brian Harrington, Lisa Zhang, Michael Liut, Andrew Petersen
2025 B conf
TreeReader: A Hierarchical Academic Paper Reader Powered by Language Models.
VL/HCC
Zijian Zhang, Pan Chen, Fangshi Du, Runlong Ye, Oliver Huang, Michael Liut, Alán Aspuru-Guzik
2025 J jnl
TreeReader: A Hierarchical Academic Paper Reader Powered by Language Models.
CoRR
Zijian Zhang, Pan Chen, Fangshi Du, Runlong Ye, Oliver Huang, Michael Liut, Alán Aspuru-Guzik
2025 — conf
Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries.
DataEd@SIGMOD
Harsh Kumar, Mohi Reza, Jeb Thomas-Mitchell, Ilya Musabirov, Lisa Zhang, Michael Liut
2025 — conf
Understanding the Impact of Using Generative AI Tools in a Database Course.
SIGCSE (1)
Valeria Ramirez Osorio, Angela M. Zavaleta Bernuy, Bogdan Simion, Michael Liut
2025 — conf
What if (Everyday) Technologies were Designed for Learning? Towards "Support for Learning" as a Design Goal for Every(day) Technology.
CHI Extended Abstracts
Viktoria Pammer-Schindler, Michael Liut, Tobias Ley
2024 — conf
"I Didn't Know": Examining Student Understanding of Academic Dishonesty in Computer Science.
SIGCSE (1)
Michael Liut, Anna Ly, Jessica Jia-Ni Xu, Justice Banson, Paul Vrbik, Caroline D. Hardin
2024 J jnl
"It Explains What I am Currently Going Through Perfectly to a Tee": Understanding User Perceptions on LLM-Enhanced Narrative Interventions.
CoRR
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
2024 — conf
A Preliminary Analysis of Students' Help Requests with an LLM-powered Chatbot when Completing CS1 Assignments.
CSEDM@EDM
Ruiwei Xiao, Xinying Hou, Harsh Kumar, Steven Moore, John C. Stamper, Michael Liut
2024 A* conf
ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models.
CHI
Mohi Reza, Nathan M. Laundry, Ilya Musabirov, Peter Dushniku, Zhi Yuan "Michael" Yu, Kashish Mittal, Tovi Grossman, Michael Liut, Anastasia Kuzminykh, Joseph Jay Williams
2024 — conf
Can Small Language Models With Retrieval-Augmented Generation Replace Large Language Models When Learning Computer Science?
ITiCSE (1)
Suqing Liu, Zezhu Yu, Feiran Huang, Yousef Bulbulia, Andreas Bergen, Michael Liut
2024 — conf
Curriculum Analysis for Data Systems Education.
ITiCSE (2)
Daphne Miedema, Toni Taipalus, Vangel V. Ajanovski, Abdussalam Alawini, Martin Goodfellow, Michael Liut, Svetlana Peltsverger, Tiffany Young
2024 — conf
Data Systems Education: Curriculum Recommendations, Course Syllabi, and Industry Needs.
ITiCSE-WGR
Daphne Miedema, Toni Taipalus, Vangel V. Ajanovski, Abdussalam Alawini, Martin Goodfellow, Michael Liut, Svetlana Peltsverger, Tiffany Young
2024 B conf
Detecting LLM-Generated Text in Computing Education: Comparative Study for ChatGPT Cases.
COMPSAC
Michael Sheinman Orenstrakh, Oscar Karnalim, Carlos Aníbal Suárez, Michael Liut
2024 — conf
Do Hints Enhance Learning in Programming Exercises? Exploring Students' Problem-Solving and Interactions.
SIGCSE (2)
Giang Bui, Nicholas Susanto, Naaz Sibia, Angela M. Zavaleta Bernuy, Michael Liut, Andrew Petersen
2024 A conf
Does the Medium Matter? An Exploration of Voice-Interaction for Self-Explanations.
Conference on Designing Interactive Systems
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
2024 — conf
Examining Intention to Major in Computer Science: Perceived Potential and Challenges.
SIGCSE (1)
Naaz Sibia, Giang Bui, Bingcheng Wang, Yinyue Tan, Angela M. Zavaleta Bernuy, Christina Bauer, Joseph Jay Williams, Michael Liut, Andrew Petersen
2024 — conf
Exploring Self-Explanations in a Flipped Database Course.
DataEd@SIGMOD
Naaz Sibia, Angela M. Zavaleta Bernuy, Elexandra Tran, Jessica Jia-Ni Xu, Joseph Jay Williams, Andrew Petersen, Michael Liut
2024 — conf
Exploring the Effects of Grouping by Programming Experience in Q&A Forums.
ICER (1)
Naaz Sibia, Angela M. Zavaleta Bernuy, Tiana V. Simovic, Chloe Huang, Yinyue Tan, Eunchae Seong, Carolina Nobre, Daniel Zingaro, Michael Liut, Andrew Petersen
2024 — conf
Exploring the Impact of Multiple Representations in Introductory Programming: A Pilot Study.
Koli Calling
Naaz Sibia, Valeria Ramirez Osorio, Angela M. Zavaleta Bernuy, Efthimia Aivaloglou, Rutwa Engineer, Andrew Petersen, Michael Liut, Carolina Nobre
2024 J jnl
Guiding Students in Using LLMs in Supported Learning Environments: Effects on Interaction Dynamics, Learner Performance, Confidence, and Trust.
Proc. ACM Hum. Comput. Interact.
Harsh Kumar, Ilya Musabirov, Mohi Reza, Jiakai Shi, Xinyuan Wang, Joseph Jay Williams, Anastasia Kuzminykh, Michael Liut
2024 — conf
Opportunities for Adaptive Experiments to Enable Continuous Improvement in Computer Science Education.
WCCCE
Ilya Musabirov, Angela M. Zavaleta Bernuy, Pan Chen, Michael Liut, Joseph Jay Williams
2024 — ed.
Proceedings of the 3rd International Workshop on Data Systems Education: Bridging education practice with education research, DataEd 2024, Santiago, Chile, June 9-15, 2024
DataEd@SIGMOD
Daphne Miedema, Sourav S. Bhowmick, Michael Liut
2024 — conf
Student Interaction with Instructor Emails in Introductory and Upper-Year Computing Courses.
SIGCSE (1)
Angela M. Zavaleta Bernuy, Runlong Ye, Naaz Sibia, Rohita Nalluri, Joseph Jay Williams, Andrew Petersen, Eric Smith, Bogdan Simion, Michael Liut
2024 — conf
Student Transitions Through an Entire Computing Program.
WCCCE
Angela M. Zavaleta Bernuy, Andrew Chung, Alana Hodge, Ayesha Tayyiba, Michael Liut, Andrew Petersen
2024 B conf
Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms.
L@S
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
2024 J jnl
Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms.
CoRR
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
2024 — conf
Third International Workshop on Data Systems Education (DataEd'24).
SIGMOD Conference Companion
Daphne Miedema, Sourav S. Bhowmick, Michael Liut
2024 J jnl
Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries.
CoRR
Harsh Kumar, Mohi Reza, Jeb Mitchell, Ilya Musabirov, Lisa Zhang, Michael Liut
2024 A* conf
Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination.
CHI
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
2024 — conf
Unlocking Excellence in Educational Research: Guidelines for High-Quality Research that Promotes Learning for All.
SIGCSE (2)
Monica M. McGill, Sarah Heckman, Michael Liut, Ismaila Temitayo Sanusi, Claudia Szabo
2023 — conf
"I Am Not Enough": Impostor Phenomenon Experiences of University Students.
ITiCSE (1)
Angela M. Zavaleta Bernuy, Anna Ly, Brian Harrington, Michael Liut, Sadia Sharmin, Lisa Zhang, Andrew Petersen
2023 — conf
"There is no ambiguity on what to return": Investigating the Prevalence of SQL Misconceptions.
Koli Calling
Daphne Miedema, Michael Liut, George H. L. Fletcher, Efthimia Aivaloglou
2023 — conf
A Case Study in Opportunities for Adaptive Experiments to Enable Rapid Continuous Improvement.
SIGCSE (2)
Ilya Musabirov, Angela M. Zavaleta Bernuy, Michael Liut, Joseph Jay Williams
2023 J jnl
ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models.
CoRR
Mohi Reza, Nathan Laundry, Ilya Musabirov, Peter Dushniku, Zhi Yuan "Michael" Yu, Kashish Mittal, Tovi Grossman, Michael Liut, Anastasia Kuzminykh, Joseph Jay Williams
2023 — conf
Building Recommendations for Conducting Equity-Focused, High Quality K-12 Computer Science Education Research.
ITiCSE (2)
Monica M. McGill, Sarah Heckman, Christos Chytas, Lien Diaz, Michael Liut, Vera A. Kazakova, Ismaila Temitayo Sanusi, Selina Marianna Shah, Claudia Szabo
2023 — conf
Conducting Sound, Equity-Enabling Computing Education Research.
ITiCSE-WGR
Monica M. McGill, Sarah Heckman, Christos Chytas, Michael Liut, Vera A. Kazakova, Ismaila Temitayo Sanusi, Selina Marianna Shah, Claudia Szabo
2023 — conf
Designing, Deploying, and Analyzing Adaptive Educational Field Experiments.
SIGCSE (2)
Joseph Jay Williams, Nathan Laundry, Ilya Musabirov, Angela M. Zavaleta Bernuy, Michael Liut
2023 J jnl
Detecting LLM-Generated Text in Computing Education: A Comparative Study for ChatGPT Cases.
CoRR
Michael Sheinman Orenstrakh, Oscar Karnalim, Carlos Aníbal Suárez, Michael Liut
2023 — conf
Do Students Read Instructor Emails? A Case Study of Intervention Email Open Rates.
Koli Calling
Angela M. Zavaleta Bernuy, Runlong Ye, Elexandra Tran, Naaz Sibia, Abhijoy Mandal, Hammad Shaikh, Bogdan Simion, Michael Liut, Andrew Petersen, Joseph Jay Williams
2023 J jnl
Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception.
CoRR
Harsh Kumar, Ilya Musabirov, Mohi Reza, Jiakai Shi, Anastasia Kuzminykh, Joseph Jay Williams, Michael Liut
2023 — conf
Investigating Subject Lines Length on Students' Email Open Rates.
SIGCSE (2)
Elexandra Tran, Angela M. Zavaleta Bernuy, Bogdan Simion, Michael Liut, Andrew Petersen, Joseph Jay Williams
2023 — conf
MSMI1: Towards a Validated SQL Misconceptions Instrument.
ICER (2)
Daphne Miedema, Michael Liut, George Fletcher, Efthimia Aivaloglou
2023 J jnl
Opportunities for Adaptive Experiments to Enable Continuous Improvement that Trades-off Instructor and Researcher Incentives.
CoRR
Ilya Musabirov, Angela M. Zavaleta Bernuy, Pan Chen, Michael Liut, Joseph Jay Williams
2023 — conf
Prior Programming Experience: A Persistent Performance Gap in CS1 and CS2.
SIGCSE (1)
Giang Bui, Naaz Sibia, Angela M. Zavaleta Bernuy, Michael Liut, Andrew Petersen
2023 — conf
Self-Explanation Modality: Effects on Student Performance?
ITiCSE (2)
Angela M. Zavaleta Bernuy, Jessica Jia-Ni Xu, Naaz Sibia, Joseph Jay Williams, Andrew Petersen, Michael Liut
2023 — conf
Student Usage of Q&A Forums: Signs of Discomfort?
ITiCSE (1)
Naaz Sibia, Angela M. Zavaleta Bernuy, Joseph Jay Williams, Michael Liut, Andrew K. Petersen
2023 J jnl
Student Usage of Q&A Forums: Signs of Discomfort?
CoRR
Naaz Sibia, Angela M. Zavaleta Bernuy, Joseph Jay Williams, Michael Liut, Andrew Petersen
2023 J jnl
Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination.
CoRR
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
2023 — conf
Using A/B Testing as a Pedagogical Tool for Iterative Design in HCI Classrooms.
EduCHI
Mohi Reza, Ilya Musabirov, Nathan Laundry, Michael Liut, Joseph Jay Williams
2023 — conf
VoiceEx: Voice Submission System for Interventions in Education.
ITiCSE (2)
Angela M. Zavaleta Bernuy, Naaz Sibia, Pan Chen, Chloe Huang, Andrew Petersen, Joseph Jay Williams, Michael Liut
2022 — conf
Additional Evidence for the Prevalence of the Impostor Phenomenon in Computing.
SIGCSE (1)
Angela M. Zavaleta Bernuy, Anna Ly, Brian Harrington, Michael Liut, Andrew Petersen, Sadia Sharmin, Lisa Zhang
2022 J jnl
Deep Camera Pose Regression Using Pseudo-LiDAR.
CoRR
Ali Raza, Lazar Lolic, Shahmir Akhter, Alfonso Dela Cruz, Michael Liut
2022 J jnl
Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits.
CoRR
Fernando J. Yanez, Angela M. Zavaleta Bernuy, Ziwen Han, Michael Liut, Anna N. Rafferty, Joseph Jay Williams
2022 — conf
Investigating the Impact of Voice Response Options in Surveys.
SIGCSE (2)
Pan Chen, Naaz Sibia, Angela M. Zavaleta Bernuy, Michael Liut, Joseph Jay Williams
2022 J jnl
Report on the First International Workshop on Data Systems Education (DataEd '22).
SIGMOD Rec.
Efthimia Aivaloglou, George Fletcher, Michael Liut, Daphne Miedema
2022 — conf
The Positive Effects of using Reflective Prompts in a Database Course.
DataEd@SIGMOD
Naaz Sibia, Michael Liut
2021 A conf
A Multi-Course Report on the Experience of Unplanned Online Exams.
SIGCSE
Larry Yueli Zhang, Andrew K. Petersen, Michael Liut, Bogdan Simion, Furkan Alaca
2021 — conf
Building a Better SQL Automarker for Database Courses.
Koli Calling
Muyu Wang, Naaz Sibia, Ilir Dema, Michael Liut, Carlos Aníbal Suárez
2021 C conf
Comparing and Evaluating Indoor Positioning Techniques.
IPIN
Ali Raza, Lazar Lolic, Shahmir Akhter, Michael Liut
2021 Misc conf
Computational Substantiation of the d-step Conjecture for Distinct Squares Revisited.
PSC
Frantisek Franek, Michael Liut
2021 J jnl
Practice report: six studies of spatial skills training in introductory computer science.
Inroads
Jack Parkinson, Ryan Bockmon, Quintin I. Cutts, Michael Liut, Andrew Petersen, Sheryl A. Sorby
2021 Misc conf
Revisiting Syntax Exercises in CS1.
SIGITE
Anna Ly, John Edwards, Michael Liut, Andrew Petersen
2021 — conf
Spatial Skills and Demographic Factors in CS1.
Koli Calling
Anna Ly, Jack Parkinson, Quintin I. Cutts, Michael Liut, Andrew Petersen
2020 — conf
Choosing Code Segments to Exclude from Code Similarity Detection.
ITiCSE-WGR
Simon, Oscar Karnalim, Judy Sheard, Ilir Dema, Amey Karkare, Juho Leinonen, Michael Liut, Renée McCauley
2020 J jnl
Computing Maximal Lyndon Substrings of a String.
Algorithms
Frantisek Franek, Michael Liut
2020 B conf
Selection of Code Segments for Exclusion from Code Similarity Detection.
ITiCSE
Simon, Oscar Karnalim, Judy Sheard, Ilir Dema, Amey Karkare, Juho Leinonen, Michael Liut, Renée McCauley
2019 Misc conf
Algorithms to Compute the Lyndon Array Revisited.
PSC
Frantisek Franek, Michael Liut
2018 Misc conf
On Baier's Sort of Maximal Lyndon Substrings.
PSC
Frantisek Franek, Michael Liut, William F. Smyth