Which planning tactics predict online course completion?
File(s)LAK24_Planning_Tactics.pdf (629.56 KB)
Accepted version
Author(s)
Cho, Ji Yong
Tao, Yan
Yeomans, Michael
Tingley, Dustin
Kizilcec, Rene F
Type
Conference Paper
Abstract
Planning is a self-regulated learning strategy and widely used behavior change technique that can help learners achieve academic goals (e.g., pass an exam, apply to college, or complete an online course). Numerous studies have tested the effects of planning interventions, but few have examined the content of learners’ plans and how it relates to their academic outcomes. Building on a large-
scale intervention study, we conducted a qualitative content analysis of 650 learner plans sampled from 15 massive open online courses (MOOCs). We identified a number of planning tactics, compared their prevalence, and examined which ones significantly predict course progress and completion using regression analyses. We found that learners whose plans specify a time of day (e.g., morning, afternoon, night) are significantly more likely to complete a MOOC, but only 25% of the learners in our sample used this tactic. The high degree of variation in the effectiveness of planning tactics may contribute to mixed intervention findings in scale-up studies. Models of plan effectiveness can be used to provide feedback on the quality of learners’ plans and encourage them to use effective tactics to achieve their learning goals.
scale intervention study, we conducted a qualitative content analysis of 650 learner plans sampled from 15 massive open online courses (MOOCs). We identified a number of planning tactics, compared their prevalence, and examined which ones significantly predict course progress and completion using regression analyses. We found that learners whose plans specify a time of day (e.g., morning, afternoon, night) are significantly more likely to complete a MOOC, but only 25% of the learners in our sample used this tactic. The high degree of variation in the effectiveness of planning tactics may contribute to mixed intervention findings in scale-up studies. Models of plan effectiveness can be used to provide feedback on the quality of learners’ plans and encourage them to use effective tactics to achieve their learning goals.
Date Issued
2024-03
Date Acceptance
2023-12-12
Citation
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024, pp.360-370
ISBN
979-8-4007-1618-8
Publisher
ACM
Start Page
360
End Page
370
Journal / Book Title
Proceedings of the 14th Learning Analytics and Knowledge Conference
Copyright Statement
© ACM 2024. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in LAK '24: Proceedings of the 14th Learning Analytics and Knowledge Conference, https://doi.org/10.1145/3636555.3636891
Identifier
https://dl.acm.org/doi/10.1145/3636555.3636891
Source
14th Learning Analytics and Knowledge Conference (LAK 2024)
Place of Publication
New York, NY, United States
Publication Status
Published
Start Date
2024-03-18
Finish Date
2024-03-22
Coverage Spatial
Kyoto, Japan
Date Publish Online
2024-03-18