Michael Liut

According to our database, Michael Liut authored at least 55 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries.

Harsh Kumar, Mohi Reza, Jeb Mitchell, Ilya Musabirov, Lisa Zhang, Michael Liut

CoRR, 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

Proceedings of the 26th Western Canadian Conference on Computing Education, 2024

Student Transitions Through an Entire Computing Program.

Angela M. Zavaleta Bernuy, Andrew Chung, Alana Hodge, Ayesha Tayyiba, Michael Liut, Andrew Petersen

Proceedings of the 26th Western Canadian Conference on Computing Education, 2024

Third International Workshop on Data Systems Education (DataEd'24).

Daphne Miedema, Sourav S. Bhowmick, Michael Liut

Proceedings of the Companion of the 2024 International Conference on Management of Data, 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

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 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

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 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

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 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

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Student Interaction with Instructor Emails in Introductory and Upper-Year Computing Courses.

Angela M. Zavaleta Bernuy, Runlong Ye, Naaz Sibia, Rohita Nalluri, Joseph Jay Williams, Andrew Petersen, Eric Smith, Bogdan Simion, Michael Liut

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 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

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Curriculum Analysis for Data Systems Education.

Daphne Miedema, Toni Taipalus, Vangel V. Ajanovski, Abdussalam Alawini, Martin Goodfellow, Michael Liut, Svetlana Peltsverger, Tiffany Young

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 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

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 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

Proceedings of the 2024 ACM Conference on International Computing Education Research, 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

Proceedings of 8th Educational Data Mining in Computer Science Education Workshop (CSEDM 2024) co-located with the 17th Educational Data Mining Conference (EDM 2024), 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, Michael Liut

Proceedings of the 3rd International Workshop on Data Systems Education: Bridging education practice with education research, 2024

Detecting LLM-Generated Text in Computing Education: Comparative Study for ChatGPT Cases.

Michael Sheinman Orenstrakh, Oscar Karnalim, Carlos Aníbal Suárez, Michael Liut

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 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

Proceedings of the CHI Conference on Human Factors in Computing 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

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

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, Viktoria Pammer-Schindler, Andrew Petersen, Joseph Jay Williams, Michael Liut

Proceedings of the Designing Interactive Systems Conference, 2024

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

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

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

Designing, Deploying, and Analyzing Adaptive Educational Field Experiments.

Joseph Jay Williams, Nathan Laundry, Ilya Musabirov, Angela M. Zavaleta Bernuy, Michael Liut

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Investigating Subject Lines Length on Students' Email Open Rates.

Elexandra Tran, Angela M. Zavaleta Bernuy, Bogdan Simion, Michael Liut, Andrew Petersen, Joseph Jay Williams

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 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

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Prior Programming Experience: A Persistent Performance Gap in CS1 and CS2.

Giang Bui, Naaz Sibia, Angela M. Zavaleta Bernuy, Michael Liut, Andrew Petersen

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Do Students Read Instructor Emails? A Case Study of Intervention Email Open Rates.

Angela M. Zavaleta Bernuy, Runlong Ye, Elexandra Tran, Naaz Sibia, Abhijoy Mandal, Hammad Shaikh, Bogdan Simion, Michael Liut, Andrew Petersen, Joseph Jay Williams

Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, 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

Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, 2023

Student Usage of Q&A Forums: Signs of Discomfort?

Naaz Sibia, Angela M. Zavaleta Bernuy, Joseph Jay Williams, Michael Liut, Andrew K. Petersen

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 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

Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education, 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

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2, 2023

Self-Explanation Modality: Effects on Student Performance?

Angela M. Zavaleta Bernuy, Jessica Jia-Ni Xu, Naaz Sibia, Joseph Jay Williams, Andrew Petersen, Michael Liut

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2, 2023

VoiceEx: Voice Submission System for Interventions in Education.

Angela M. Zavaleta Bernuy, Naaz Sibia, Pan Chen, Chloe Huang, Andrew Petersen, Joseph Jay Williams, Michael Liut

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2, 2023

"I Am Not Enough": Impostor Phenomenon Experiences of University Students.

Angela M. Zavaleta Bernuy, Anna Ly, Brian Harrington, Michael Liut, Sadia Sharmin, Lisa Zhang, Andrew Petersen

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

MSMI1: Towards a Validated SQL Misconceptions Instrument.

Daphne Miedema, Michael Liut, George Fletcher, Efthimia Aivaloglou

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

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

Proceedings of the 5th Annual Symposium on HCI Education, 2023

2022

Report on the First International Workshop on Data Systems Education (DataEd '22).

Efthimia Aivaloglou, George Fletcher, Michael Liut, Daphne Miedema

SIGMOD Rec., December, 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

Deep Camera Pose Regression Using Pseudo-LiDAR.

Ali Raza, Lazar Lolic, Shahmir Akhter, Alfonso Dela Cruz, Michael Liut

CoRR, 2022

Investigating the Impact of Voice Response Options in Surveys.

Pan Chen, Naaz Sibia, Angela M. Zavaleta Bernuy, Michael Liut, Joseph Jay Williams

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Additional Evidence for the Prevalence of the Impostor Phenomenon in Computing.

Angela M. Zavaleta Bernuy, Anna Ly, Brian Harrington, Michael Liut, Andrew Petersen, Sadia Sharmin, Lisa Zhang

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

The Positive Effects of using Reflective Prompts in a Database Course.

Naaz Sibia, Michael Liut

Proceedings of the 1st ACM SIGMOD International Workshop on Data Systems Education: Bridging Education Practice with Education Research, 2022

2021

Practice report: six studies of spatial skills training in introductory computer science.

Jack Parkinson, Ryan Bockmon, Quintin I. Cutts, Michael Liut, Andrew Petersen, Sheryl A. Sorby

Inroads, 2021

Computational Substantiation of the d-step Conjecture for Distinct Squares Revisited.

Frantisek Franek, Michael Liut

Proceedings of the Prague Stringology Conference 2021, 2021

Revisiting Syntax Exercises in CS1.

Anna Ly, John Edwards, Michael Liut, Andrew Petersen

Proceedings of the SIGITE '21: The 22nd Annual Conference on Information Technology Education, SnowBird, UT, USA, October 6, 2021

A Multi-Course Report on the Experience of Unplanned Online Exams.

Larry Yueli Zhang, Andrew K. Petersen, Michael Liut, Bogdan Simion, Furkan Alaca

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Building a Better SQL Automarker for Database Courses.

Muyu Wang, Naaz Sibia, Ilir Dema, Michael Liut, Carlos Aníbal Suárez

Proceedings of the Koli Calling '21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18, 2021

Spatial Skills and Demographic Factors in CS1.

Anna Ly, Jack Parkinson, Quintin I. Cutts, Michael Liut, Andrew Petersen

Proceedings of the Koli Calling '21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18, 2021

Comparing and Evaluating Indoor Positioning Techniques.

Ali Raza, Lazar Lolic, Shahmir Akhter, Michael Liut

Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021

2020

Computing Maximal Lyndon Substrings of a String.

Frantisek Franek, Michael Liut

Algorithms, 2020

Choosing Code Segments to Exclude from Code Similarity Detection.

Simon, Oscar Karnalim, Judy Sheard, Ilir Dema, Amey Karkare, Juho Leinonen, Michael Liut, Renée McCauley

Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education, 2020

Selection of Code Segments for Exclusion from Code Similarity Detection.

Simon, Oscar Karnalim, Judy Sheard, Ilir Dema, Amey Karkare, Juho Leinonen, Michael Liut, Renée McCauley

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020

2019

Algorithms to Compute the Lyndon Array Revisited.

Frantisek Franek, Michael Liut

Proceedings of the Prague Stringology Conference 2019, 2019

2018

On Baier's Sort of Maximal Lyndon Substrings.

Frantisek Franek, Michael Liut, William F. Smyth

Proceedings of the Prague Stringology Conference 2018, 2018