Shared Mental Models on the Performance of e-Learning Content Development Teams. - Il-Hyun Jo (J. Educ. Technol. Soc., 2012)

Predicting students' learning achievement by using online learning patterns in blended learning environments: Comparison of two cases on linear and non-linear model. - Jeonghyun Kim; Yeonjeong Park; Jongwoo Song; Il-Hyun Jo (EDM, 2014)

Tracking Students' Eye-Movements on Visual Dashboard Presenting Their Online Learning Behavior Patterns. - Kunhee Ha; Il-Hyun Jo; Sohye Lim; Yeonjeong Park (ICSLE, 2014)

Relations between Student Online Learning Behavior and Academic Achievement in Higher Education: A Learning Analytics Approach. - Il-Hyun Jo; Taeho Yu; Hyeyun Lee; Yeonjoo Kim (ICSLE, 2014)

Towards Smart Asynchronous Discussion Activity: Using Social Network Analysis to Investigate Students' Discussion Patterns. - Jeonghyun Kim; Hyeyun Lee; Yesom Yoo; Hanall Sung; Il-Hyun Jo; Yeonjeong Park (ICSLE, 2014)

Educational Dashboards for Smart Learning: Review of Case Studies. - Yesom Yoo; Hyeyun Lee; Il-Hyun Jo; Yeonjeong Park (ICSLE, 2014)

Analyzing the log patterns of adult learners in LMS using learning analytics. - Il-Hyun Jo; Dongho Kim; Meehyun Yoon (LAK, 2014)

Educational technology approach toward learning analytics: relationship between student online behavior and learning performance in higher education. - Taeho Yu; Il-Hyun Jo (LAK, 2014)

Effects of Communication Competence and Social Network Centralities on Learner Performance. - Il-Hyun Jo; Stephanie Kang; Meehyun Yoon (J. Educ. Technol. Soc., 2014)

Constructing Proxy Variables to Measure Adult Learners. Time Management Strategies in LMS. - Il-Hyun Jo; Dongho Kim; Meehyun Yoon (J. Educ. Technol. Soc., 2015)

Development of the Learning Analytics Dashboard to Support Students' Learning Performance. - Yeonjeong Park; Il-Hyun Jo (J. Univers. Comput. Sci., 2015)

Toward evidence-based learning analytics: Using proxy variables to improve asynchronous online discussion environments. - Dongho Kim; Yeonjeong Park; Meehyun Yoon; Il-Hyun Jo (Internet High. Educ., 2016)

Clustering blended learning courses by online behavior data: A case study in a Korean higher education institute. - Yeonjeong Park; Ji Hyun Yu; Il-Hyun Jo (Internet High. Educ., 2016)

Three interaction patterns on asynchronous online discussion behaviours: A methodological comparison. - Il-Hyun Jo; Yeonjeong Park; Hyeyun Lee (J. Comput. Assist. Learn., 2017)

Learning analytics to support self-regulated learning in asynchronous online courses: A case study at a women's university in South Korea. - Dongho Kim; Meehyun Yoon; Il-Hyun Jo; Robert Maribe Branch (Comput. Educ., 2018)

A novel method to monitoring changes in cognitive load in video-based learning. - Dami Huh; Ji-Hyun Kim; Il-Hyun Jo (J. Comput. Assist. Learn., 2019)

The Effect of Visual Cues on Cognitive Load Depending on Self-Regulation in Video-Based Learning. - Kakyeong Kim; Il-Hyun Jo (EDM, 2020)

Correlation Between the Change of Cognitive Load and Learning Performance in Video-based Learning. - Hye Jeong Park; Il-Hyun Jo (ICLS, 2020)

Video learning analytics: Investigating behavioral patterns and learner clusters in video-based online learning. - Meehyun Yoon; Jungeun Lee; Il-Hyun Jo (Internet High. Educ., 2021)

Task type matters: The impact of virtual reality training on training performance. - Meehyun Yoon; Koun Choi; Seonghye Yoon; Il-Hyun Jo (J. Comput. Assist. Learn., 2024)

Evolving the 4C/ID model through learning analytics approaches: Teaching and learning system design framework for supporting learners' complex problem-solving. - Soyeon Mun; Il-Hyun Jo (LAK, 2025)