Lisa Zhang

According to our database, Lisa Zhang authored at least 43 papers between 2018 and 2026.

Collaborative distances:

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

2026

AI-Generated Slides: Are They Good? Can Students Tell?

Juho Leinonen, Lisa Zhang, Arto Hellas

CoRR, May, 2026

Bridging Prerequisite Gaps: When, How, and How Much?

Lisa Zhang, Alice Gao, Jessica Wen, Alisha Hasan

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1, 2026

Effective Strategies for Teaching Machine Learning.

Firas Moosvi, Fraida Fund, Varada Kolhatkar, Meiying Qin, Thomas W. Price, Lisa Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Analysis of Motivations in Machine Learning Textbooks.

Khushi Malik, Amber Richardson, Tingting Zhu, Lisa Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Analyzing Fine-Grained Skill Development across Computer Science Course Progressions.

Bogdan Simion, Lisa Zhang, Giang Bui, Hancheng Huang, Ramzi Abu-Zeineh, Shrey Vakil

ACM Trans. Comput. Educ., 2025

Prerequisites and Performance in a Machine Learning Course: A Quantitative Analysis.

Marina Tawfik, Andrew Petersen, Leo Porter, Lisa Zhang

Proceedings of the 25th Koli Calling International Conference on Computing Education Research, 2025

Interests and Challenges in Machine Learning: Differences by Gender, Prior Experience, and First Generation Status.

Amber Richardson, Khushi Malik, Saayna Halder, Fatima Ahmed, Lisa Zhang

Proceedings of the 25th Koli Calling International Conference on Computing Education Research, 2025

Student Perspectives on the Challenges in Machine Learning.

Naaz Sibia, Amber Richardson, Alice Gao, Andrew Petersen, Lisa Zhang

Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1, 2025

Show Me the Mastery Learning! Obstacles to Adoption and Opportunities for New Solutions.

Claudio Álvarez, Nickolas J. G. Falkner, Päivi Kinnunen, Jaromír Savelka, Lisa Zhang

Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1, 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

Proceedings of the 4th International Workshop on Data Systems Education: Bridging Education Practice with Education Research, 2025

Summarizing Computer Science Teaching Assistant Feedback with Large Language Models.

Suqing Liu, Lisa Zhang, Oscar Karnalim, Michael Liut

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

The Impostor Phenomenon in the Global Computing Graduate Student Population.

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

Proceedings of the ACM Global on Computing Education Conference 2025 Vol 1, 2025

Comparing Artificial Intelligence Curricula in Canadian and US Universities.

Rose Niousha, Lexie Jingruo Guo, Rick Kaifeng Li, Narges Norouzi, Lisa Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Model AI Assignments 2025.

Todd W. Neller, Rasika Bhalerao, Eun Kyung Ko, Vishodana Thamotharan, Lisa Zhang, Sonya Allin, Mahdi Haghifam, Michael Pawliuk, Rutwa Engineer, Florian Shkurti, Cunyan Ma, Daniella DiPaola, Cynthia Breazeal, Loreto Alonzi, Brian Wright, Ali Rivera, Kristin Fasiang, Duri Long, Shruthi Chockkalingam, Giulia Toti, Evan Shieh, Princewill Okoroafor, Thema Monroe-White, Mustafa Haiderbhai, Carolyn Quinlan, Ashwin R. Bharadwaj, Anio Zhang, Rajagopal Venkatesaramani, Sarah Wharton, John Masla, Lydia Guterman, Mary Cate Gustafson-Quiett, Christina A. Bosch, Samar Abu Hegley, Calvin Macatantan, Eric Klopfer, Hal Abelson, Shira Wein, Mercy Wairimu Gachoka, Li-Hsin Chang, Maryam Mirzaei, Mohammad Mahdi Ajallooeian

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

AI in Computing Education from Research to Practice.

Bita Akram, Juho Leinonen, Narges Norouzi, James Prather, Lisa Zhang

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

Early Computer Science Students' Perspectives Towards The Importance Of Writing.

Rutwa Engineer, Naaz Sibia, Michael Kaler, Bogdan Simion, Lisa Zhang

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

Mapping the Pathways: A Comparative Analysis of AI/ML/DS Prerequisite Structures in R1 Institutions in the United States.

Rose Niousha, Dev Ahluwalia, Michael Wu, Lisa Zhang, Narges Norouzi

Proceedings of the IEEE Frontiers in Education Conference, 2024

2023

Just-In-Time Prerequisite Review for a Machine Learning Course.

Lisa Zhang, Sonya Allin

Proceedings of the 25th Western Canadian Conference on Computing Education, 2023

Embedding and Scaling Writing Instruction Across First- and Second-Year Computer Science Courses.

Lisa Zhang, Bogdan Simion, Michael Kaler, Amna Liaqat, Daniel Dick, Andi Bergen, Michael Miljanovic, Andrew Petersen

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

Creating Safe Spaces for Instructor Identity in Computing.

Oluwakemi Ola, Victoria C. Chávez, Soohyun Nam Liao, Joslenne Peña, Lisa Zhang

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

Common Errors in Machine Learning Projects: A Second Look.

Renato Magela Zimmermann, Sonya Allin, Lisa Zhang

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

Classifying Course Discussion Board Questions using LLMs.

Paul Zhang, Brandon Jaipersaud, Jimmy Ba, Andrew Petersen, Lisa Zhang, Michael R. Zhang

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

Enhancing Diversity and Inclusion in Computer Science Undergraduate Programs: The Role of Admissions.

Ouldooz Baghban Karimi, Giulia Toti, Mirela Gutica, Rebecca Robinson, Lisa Zhang, James H. Paterson, Peggy Lindner, Michael O'Dea

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

Exploring Computing Science Programs' Admission Procedures with a Diversity and Inclusion Lens.

Ouldooz Baghban Karimi, Giulia Toti, Mirela Gutica, Rebecca Robinson, Lisa Zhang, James H. Paterson, Peggy Lindner, Michael O'Dea

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

Decomposed Prompting to Answer Questions on a Course Discussion Board.

Brandon Jaipersaud, Paul Zhang, Jimmy Ba, Andrew Petersen, Lisa Zhang, Michael R. Zhang

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

Exploring Common Writing Issues in Upper-Year Computer Science.

Rehmat Munir, Francesco Strafforello, Niveditha Kani, Michael Kaler, Bogdan Simion, Lisa Zhang

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

Using Deep Learning to Localize Errors in Student Code Submissions.

Shion Fujimori, Mohamed Harmanani, Owais Siddiqui, Lisa Zhang

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

Student Reactions to Bots on Course Q&A Platform.

Yu-Chieh Wu, Andrew Petersen, Lisa Zhang

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

2021

AI education matters: text denoising autoencoder for news headlines.

Lisa Zhang, Pouria Fewzee, Charbel Feghali

AI Matters, 2021

Model AI Assignments 2021.

Todd W. Neller, Nathan Sprague, John Maraist, Lisa Zhang, Pouria Fewzee, Duri Long, Jonathan Moon, Brian Magerko, Alex Leto, Toni Lefton, Tom Williams

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Analyzing CS1 Student Code Using Code Embeddings.

Robert Bazzocchi, Micah Flemming, Lisa Zhang

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Model AI Assignments 2020.

Todd W. Neller, Stephen Keeley, Michael Guerzhoy, Wolfgang Hönig, Jiaoyang Li, Sven Koenig, Ameet Soni, Krista Thomason, Lisa Zhang, Bibin Sebastian, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, James Allingham, Sejong Yoon, Jonathan Chen, Tom Larsen, Marion Neumann, Narges Norouzi, Ryan Hausen, Matthew Evett

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

AI education matters: building a fake news detector.

Michael Guerzhoy, Lisa Zhang, Georgy Noarov

AI Matters, 2019

Experience Report: Mini Guest Lectures in a CS1 Course via Video Conferencing.

Lisa Zhang, Michelle Craig, Mark Kazakevich, Joseph Jay Williams

Proceedings of the ACM Conference on Global Computing Education, 2019

Impact of Open-Ended Assignments on Student Self-Efficacy in CS1.

Sadia Sharmin, Daniel Zingaro, Lisa Zhang, Clare Brett

Proceedings of the ACM Conference on Global Computing Education, 2019

Inference in Probabilistic Graphical Models by Graph Neural Networks.

KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Model AI Assignments 2019.

Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul G. Talaga, Christopher Archibald, Adam Summerville, Joseph C. Osborn, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, Nate Derbinsky, Elena Strange, Marion Neumann, Jonathan Chen, Zac Christensen, Michael Wollowski, Oscar Youngquist

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Neural Guided Constraint Logic Programming for Program Synthesis.

Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, Matthew Might, Raquel Urtasun, Richard S. Zemel

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Reviving and Improving Recurrent Back-Propagation.

Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel

Proceedings of the 35th International Conference on Machine Learning, 2018

Leveraging Constraint Logic Programming for Neural Guided Program Synthesis.

Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, Raquel Urtasun, Richard S. Zemel

Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Deep Structured Active Contours End-to-End.

Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018