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Soohyun Nam Liao
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2020 – today
- 2024
- [c22]Yunyi She
, Korena S. Klimczak
, Michael E. Levin
, Soohyun Nam Liao
:
ClearMind Workshop: An ACT-based Intervention Tailored for Academic Procrastination among Computing Students. SIGCSE (1) 2024: 1216-1222 - 2023
- [c21]Oluwakemi Ola
, Victoria C. Chávez
, Soohyun Nam Liao
, Joslenne Peña
, Lisa Zhang
:
Creating Safe Spaces for Instructor Identity in Computing. SIGCSE (2) 2023: 1196-1197 - 2022
- [j2]Kevin C. Webb, Daniel Zingaro, Soohyun Nam Liao, Cynthia Bagier Taylor, Cynthia Bailey Lee, Michael J. Clancy, Leo Porter
:
Student Performance on the BDSI for Basic Data Structures. ACM Trans. Comput. Educ. 22(1): 8:1-8:34 (2022) - [c20]Keith Quille
, Soohyun Nam Liao, Eileen Costelloe
, Keith Nolan, Aidan Mooney
, Kartik Shah:
PreSS: Predicting Student Success Early in CS1. A Pilot International Replication and Generalization Study. ITiCSE (1) 2022: 54-60 - 2021
- [c19]Kartik Shah, Priscilla Lee, Daphne Barretto, Soohyun Nam Liao:
A Qualitative Study on How Students Interact with Quizzes and Estimate Confidence on Their Answers. ITiCSE (1) 2021: 32-38 - [c18]Soohyun Nam Liao, Kartik Shah, William G. Griswold
, Leo Porter
:
A Quantitative Analysis of Study Habits Among Lower- and Higher-Performing Students in CS1. ITiCSE (1) 2021: 366-372 - [c17]Daphne Barretto, Julienne LaChance, Emanuelle Burton
, Soohyun Nam Liao:
Exploring Why Underrepresented Students Are Less Likely to Study Machine Learning and Artificial Intelligence. ITiCSE (1) 2021: 457-463 - [c16]Priscilla Lee, Soohyun Nam Liao:
Targeting Metacognition by Incorporating Student-Reported Confidence Estimates on Self-Assessment Quizzes. SIGCSE 2021: 431-437 - [c15]Michael J. Clancy, Cynthia Bailey Lee, Soohyun Nam Liao, Leo Porter, Cynthia Bagier Taylor, Kevin C. Webb:
Using Validated Assessments to Learn About Your Students. SIGCSE 2021: 1366 - 2020
- [c14]Michael J. Clancy, Cynthia Bailey Lee, Soohyun Nam Liao, Leo Porter, Cynthia Bagier Taylor, Kevin C. Webb:
Using Validated Assessments to Learn About Your Students. SIGCSE 2020: 1401
2010 – 2019
- 2019
- [b1]Soohyun Nam Liao:
Early Identification of At-risk Students and Understanding Their Behaviors. University of California, San Diego, USA, 2019 - [j1]Soohyun Nam Liao
, Daniel Zingaro, Kevin Thai, Christine Alvarado, William G. Griswold
, Leo Porter
:
A Robust Machine Learning Technique to Predict Low-performing Students. ACM Trans. Comput. Educ. 19(3): 18:1-18:19 (2019) - [c13]Leo Porter
, Daniel Zingaro, Soohyun Nam Liao, Cynthia Bagier Taylor, Kevin C. Webb, Cynthia Bailey Lee, Michael J. Clancy:
BDSI: A Validated Concept Inventory for Basic Data Structures. ICER 2019: 111-119 - [c12]Yingjun Cao, Leo Porter
, Soohyun Nam Liao, Rick Ord:
Paper or Online?: A Comparison of Exam Grading Techniques. ITiCSE 2019: 99-104 - [c11]Soohyun Nam Liao, Sander Valstar, Kevin Thai, Christine Alvarado, Daniel Zingaro, William G. Griswold
, Leo Porter
:
Behaviors of Higher and Lower Performing Students in CS1. ITiCSE 2019: 196-202 - [c10]Soohyun Nam Liao, Daniel Zingaro, Christine Alvarado, William G. Griswold
, Leo Porter
:
Exploring the Value of Different Data Sources for Predicting Student Performance in Multiple CS Courses. SIGCSE 2019: 112-118 - 2018
- [c9]Daniel Zingaro, Cynthia Bagier Taylor, Leo Porter
, Michael J. Clancy, Cynthia Bailey Lee, Soohyun Nam Liao, Kevin C. Webb:
Identifying Student Difficulties with Basic Data Structures. ICER 2018: 169-177 - [c8]Arto Hellas, Petri Ihantola
, Andrew Petersen, Vangel V. Ajanovski
, Mirela Gutica, Timo Hynninen, Antti Knutas, Juho Leinonen
, Chris H. Messom, Soohyun Nam Liao:
Predicting academic performance: a systematic literature review. ITiCSE (Companion) 2018: 175-199 - [c7]Soohyun Nam Liao, William G. Griswold
, Leo Porter
:
Classroom experience report on jigsaw learning. ITiCSE 2018: 302-307 - [c6]Cynthia Bagier Taylor, Jaime Spacco
, David P. Bunde, Andrew Petersen, Soohyun Nam Liao, Leo Porter
:
A multi-institution exploration of peer instruction in practice. ITiCSE 2018: 308-313 - [c5]Arto Hellas, Petri Ihantola
, Andrew Petersen, Vangel V. Ajanovski
, Mirela Gutica, Timo Hynninen, Antti Knutas
, Juho Leinonen
, Chris H. Messom, Soohyun Nam Liao:
Taxonomizing features and methods for identifying at-risk students in computing courses. ITiCSE 2018: 364-365 - [c4]David P. Bunde, Cynthia Bagier Taylor, Jaime Spacco, Andrew Petersen, Soohyun Nam Liao, Leo Porter
:
A Multi-Institution Exploration of Peer Instruction in Practice: (Abstract Only). SIGCSE 2018: 1079 - 2017
- [c3]Soohyun Nam Liao, William G. Griswold
, Leo Porter
:
Impact of Class Size on Student Evaluations for Traditional and Peer Instruction Classrooms. SIGCSE 2017: 375-380 - 2016
- [c2]Soohyun Nam Liao, Daniel Zingaro, Michael A. Laurenzano, William G. Griswold
, Leo Porter
:
Lightweight, Early Identification of At-Risk CS1 Students. ICER 2016: 123-131 - [c1]Soohyun Nam Liao:
Identify and Help At-Risk Students Before It Is Late. ICER 2016: 295-296
Coauthor Index
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last updated on 2024-08-05 21:15 CEST by the dblp team
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