27 citations · 45 across the 5 of their papers we have counts for
5 papers · 1 filter
A Multi-Level Trace Clustering Analysis Scheme for Measuring Students' Self-Regulated Learning Behavior in a Master-Based Online Learning Environment
Tom Zhang, Michelle Taub, Zhongzhou Chen
The study introduces a new analysis scheme to analyze trace data and visualize students' self-regulated learning strategies in a mastery-based online learning modules platform. The…
Measuring the Impact of COVID-19 Induced Campus Closure on Student Self-Regulated Learning in Physics Online Learning Modules
Tom Zhang, Michelle Taub, Zhongzhou Chen
This paper examines the impact of COVID-19 induced campus closure on university students' self-regulated learning behavior by analyzing click-stream data collected from student int…
Toward more accurate measurement of the impact of online instructional design on students' ability to transfer physics problem-solving skills
Kyle M. Whitcomb, Matthew W. Guthrie, Chandralekha Singh +1
In two earlier studies, we developed a new method to measure students' ability to transfer physics problem solving skills to new contexts using a sequence of online learning module…
Exploring the relation between students' online learning behavior and course performance by including contextual information in data analysis
Zhongzhou Chen, Mengyu Xu, Geoffrey Garrido +1
This study examines whether including more contextual information in data analysis could improve our ability to identify the relation between students' online learning behavior and…
Measuring the Effectiveness of Learning Resources Via Student Interaction with Online Learning Modules
Zhongzhou Chen, Matthew Guthrie
We present a new method for measuring the effectiveness of online learning resources, through the analysis of time-stamped log data of students' interaction with a sequence of onli…