Soohyun Nam Liao

According to our database, Soohyun Nam Liao authored at least 24 papers between 2016 and 2024.

Collaborative distances:

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

2024

ClearMind Workshop: An ACT-based Intervention Tailored for Academic Procrastination among Computing Students.

Yunyi She, Korena S. Klimczak, Michael E. Levin, Soohyun Nam Liao

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

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

2022

Student Performance on the BDSI for Basic Data Structures.

Kevin C. Webb, Daniel Zingaro, Soohyun Nam Liao, Cynthia Bagier Taylor, Cynthia Bailey Lee, Michael J. Clancy, Leo Porter

ACM Trans. Comput. Educ., 2022

PreSS: Predicting Student Success Early in CS1. A Pilot International Replication and Generalization Study.

Keith Quille, Soohyun Nam Liao, Eileen Costelloe, Keith Nolan, Aidan Mooney, Kartik Shah

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

2021

Targeting Metacognition by Incorporating Student-Reported Confidence Estimates on Self-Assessment Quizzes.

Priscilla Lee, Soohyun Nam Liao

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

A Qualitative Study on How Students Interact with Quizzes and Estimate Confidence on Their Answers.

Kartik Shah, Priscilla Lee, Daphne Barretto, Soohyun Nam Liao

Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021

A Quantitative Analysis of Study Habits Among Lower- and Higher-Performing Students in CS1.

Soohyun Nam Liao, Kartik Shah, William G. Griswold, Leo Porter

Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021

Exploring Why Underrepresented Students Are Less Likely to Study Machine Learning and Artificial Intelligence.

Daphne Barretto, Julienne LaChance, Emanuelle Burton, Soohyun Nam Liao

Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021

2020

Using Validated Assessments to Learn About Your Students.

Michael J. Clancy, Cynthia Bailey Lee, Soohyun Nam Liao, Leo Porter, Cynthia Bagier Taylor, Kevin C. Webb

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

2019

Early Identification of At-risk Students and Understanding Their Behaviors.

Soohyun Nam Liao

PhD thesis, 2019

A Robust Machine Learning Technique to Predict Low-performing Students.

Soohyun Nam Liao, Daniel Zingaro, Kevin Thai, Christine Alvarado, William G. Griswold, Leo Porter

ACM Trans. Comput. Educ., 2019

Exploring the Value of Different Data Sources for Predicting Student Performance in Multiple CS Courses.

Soohyun Nam Liao, Daniel Zingaro, Christine Alvarado, William G. Griswold, Leo Porter

Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

Behaviors of Higher and Lower Performing Students in CS1.

Soohyun Nam Liao, Sander Valstar, Kevin Thai, Christine Alvarado, Daniel Zingaro, William G. Griswold, Leo Porter

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

Paper or Online?: A Comparison of Exam Grading Techniques.

Yingjun Cao, Leo Porter, Soohyun Nam Liao, Rick Ord

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

BDSI: A Validated Concept Inventory for Basic Data Structures.

Leo Porter, Daniel Zingaro, Soohyun Nam Liao, Cynthia Bagier Taylor, Kevin C. Webb, Cynthia Bailey Lee, Michael J. Clancy

Proceedings of the 2019 ACM Conference on International Computing Education Research, 2019

2018

A Multi-Institution Exploration of Peer Instruction in Practice: (Abstract Only).

David P. Bunde, Cynthia Bagier Taylor, Jaime Spacco, Andrew Petersen, Soohyun Nam Liao, Leo Porter

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

A multi-institution exploration of peer instruction in practice.

Cynthia Bagier Taylor, Jaime Spacco, David P. Bunde, Andrew Petersen, Soohyun Nam Liao, Leo Porter

Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 2018

Classroom experience report on jigsaw learning.

Soohyun Nam Liao, William G. Griswold, Leo Porter

Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 2018

Predicting academic performance: a systematic literature review.

Arto Hellas, Petri Ihantola, Andrew Petersen, Vangel V. Ajanovski, Mirela Gutica, Timo Hynninen, Antti Knutas, Juho Leinonen, Chris H. Messom, Soohyun Nam Liao

Proceedings of the Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 2018

Taxonomizing features and methods for identifying at-risk students in computing courses.

Arto Hellas, Petri Ihantola, Andrew Petersen, Vangel V. Ajanovski, Mirela Gutica, Timo Hynninen, Antti Knutas, Juho Leinonen, Chris H. Messom, Soohyun Nam Liao

Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 2018

Identifying Student Difficulties with Basic Data Structures.

Daniel Zingaro, Cynthia Bagier Taylor, Leo Porter, Michael J. Clancy, Cynthia Bailey Lee, Soohyun Nam Liao, Kevin C. Webb

Proceedings of the 2018 ACM Conference on International Computing Education Research, 2018

2017

Impact of Class Size on Student Evaluations for Traditional and Peer Instruction Classrooms.

Soohyun Nam Liao, William G. Griswold, Leo Porter

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

2016

Lightweight, Early Identification of At-Risk CS1 Students.

Soohyun Nam Liao, Daniel Zingaro, Michael A. Laurenzano, William G. Griswold, Leo Porter

Proceedings of the 2016 ACM Conference on International Computing Education Research, 2016

Identify and Help At-Risk Students Before It Is Late.

Soohyun Nam Liao

Proceedings of the 2016 ACM Conference on International Computing Education Research, 2016