From unsuccessful to successful learning: profiling behavior patterns and student clusters in Massive Open Online Courses

Shi, Hui; Zhou, Yihang; Dennen, Vanessa P.; Hur, Jaesung

doi:10.1007/s10639-023-12010-1

Cited by 1 publication

(2 citation statements)

References 73 publications

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“…To examine students' engagement patterns, a variety of quantitative measures and visible indicators have been used, such as posting frequency, posting volume, and time spent online (Malinen, 2015;Ruthotto et al, 2020;Shi et al, 2023;Wilton, 2018). Each indicator is an observable metric that can gauge students' engagement levels.…”

Section: Online Learning Engagementmentioning

confidence: 99%

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Instructional Strategies for Engaging Online Learners

Shi,

Hur,

Tang

et al. 2023

OLJ

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This study explores how online instructors use different instructional strategies to engage learners, and the active learning indicators that they look for among their students. Additionally, it examines how modality—synchronous versus asynchronous—and instructor learner-centeredness relate to instructional strategy choices. Using a mixed methods approach with a concurrent triangulation design, 101 higher education online instructors were surveyed and 11 were interviewed. Findings show that the use of learner-centered strategies, particularly discussion, occurs at a high rate regardless of an instructor’s learner-centeredness or modality. Interestingly, instructors with high learner-centeredness reported greater use of lectures as a percentage of both synchronous and asynchronous courses than instructors with low learner-centeredness. This finding was counterbalanced by the high learner-centeredness group reporting significantly higher importance for having learners speak and post messages during class.

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Section: Online Learning Engagementmentioning

confidence: 99%

“…For each modality they have previously taught, instructors were asked to choose from a list of indicators they have used to determine whether students were actively engaged. The indicators were adapted from Cerezo et al (2016), Kim et al (2016), andShi et al (2023), and appear in Tables 6 and 7.…”

Section: Instrumentsmentioning

confidence: 99%