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2020 – today
- 2024
[j10]Meehyun Yoon
, Koun Choi, Seonghye Yoon, Il-Hyun Jo:
Task type matters: The impact of virtual reality training on training performance. J. Comput. Assist. Learn. 40(1): 205-218 (2024)- 2021
- [j9]Meehyun Yoon, Jungeun Lee, Il-Hyun Jo:
Video learning analytics: Investigating behavioral patterns and learner clusters in video-based online learning. Internet High. Educ. 50: 100806 (2021) - 2020
- [c9]Kakyeong Kim, Il-Hyun Jo:
The Effect of Visual Cues on Cognitive Load Depending on Self-Regulation in Video-Based Learning. EDM 2020 - [c8]Hye Jeong Park, Il-Hyun Jo:
Correlation Between the Change of Cognitive Load and Learning Performance in Video-based Learning. ICLS 2020
2010 – 2019
- 2019
- [j8]Dami Huh, Ji-Hyun Kim, Il-Hyun Jo:
A novel method to monitoring changes in cognitive load in video-based learning. J. Comput. Assist. Learn. 35(6): 721-730 (2019) - 2018
- [j7]Dongho Kim, Meehyun Yoon, Il-Hyun Jo, Robert Maribe Branch:
Learning analytics to support self-regulated learning in asynchronous online courses: A case study at a women's university in South Korea. Comput. Educ. 127: 233-251 (2018) - 2016
- [j6]Yeonjeong Park, Ji Hyun Yu, Il-Hyun Jo:
Clustering blended learning courses by online behavior data: A case study in a Korean higher education institute. Internet High. Educ. 29: 1-11 (2016) - [j5]Dongho Kim, Yeonjeong Park, Meehyun Yoon, Il-Hyun Jo:
Toward evidence-based learning analytics: Using proxy variables to improve asynchronous online discussion environments. Internet High. Educ. 30: 30-43 (2016) - 2015
- [j4]Il-Hyun Jo, Dongho Kim, Meehyun Yoon:
Constructing Proxy Variables to Measure Adult Learners. Time Management Strategies in LMS. J. Educ. Technol. Soc. 18(3): 214-225 (2015) - [j3]Yeonjeong Park, Il-Hyun Jo:
Development of the Learning Analytics Dashboard to Support Students' Learning Performance. J. Univers. Comput. Sci. 21(1): 110-133 (2015) - 2014
- [j2]Il-Hyun Jo, Stephanie Kang, Meehyun Yoon:
Effects of Communication Competence and Social Network Centralities on Learner Performance. J. Educ. Technol. Soc. 17(3): 108-120 (2014) - [c7]Jeonghyun Kim, Yeonjeong Park, Jongwoo Song, Il-Hyun Jo:
Predicting students' learning achievement by using online learning patterns in blended learning environments: Comparison of two cases on linear and non-linear model. EDM 2014: 407-408 - [c6]Yesom Yoo, Hyeyun Lee, Il-Hyun Jo, Yeonjeong Park:
Educational Dashboards for Smart Learning: Review of Case Studies. ICSLE 2014: 145-155 - [c5]Il-Hyun Jo, Taeho Yu, Hyeyun Lee, Yeonjoo Kim:
Relations between Student Online Learning Behavior and Academic Achievement in Higher Education: A Learning Analytics Approach. ICSLE 2014: 275-287 - [c4]Jeonghyun Kim, Hyeyun Lee, Yesom Yoo, Hanall Sung, Il-Hyun Jo, Yeonjeong Park:
Towards Smart Asynchronous Discussion Activity: Using Social Network Analysis to Investigate Students' Discussion Patterns. ICSLE 2014: 361-370 - [c3]Kunhee Ha, Il-Hyun Jo, Sohye Lim, Yeonjeong Park:
Tracking Students' Eye-Movements on Visual Dashboard Presenting Their Online Learning Behavior Patterns. ICSLE 2014: 371-376 - [c2]Il-Hyun Jo, Dongho Kim, Meehyun Yoon:
Analyzing the log patterns of adult learners in LMS using learning analytics. LAK 2014: 183-187 - [c1]Taeho Yu, Il-Hyun Jo:
Educational technology approach toward learning analytics: relationship between student online behavior and learning performance in higher education. LAK 2014: 269-270 - 2012
- [j1]Il-Hyun Jo:
Shared Mental Models on the Performance of e-Learning Content Development Teams. J. Educ. Technol. Soc. 15(1): 289-297 (2012)
Coauthor Index
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