Student skill and goal achievement in the mapping with google MOOC
Abstract
Students who registered for the Mapping with Google massive open online course (MOOC) were asked several questions during the registration process to identify prior experience with eleven skills as well as their goals for registering for the course. Students selected goals from a list; they were periodically reminded of these goals during the MOOC. At the end of the course, we compared students' self reports of goal achievement on a post-course survey with behavioral click-stream analysis. In addition, we assessed how well prior skill in a subject predicts a student's course completion and found no correlation. Our research shows that students who completed course activities were more likely to earn certificates of completion than peers who did not.
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Machine learning-based learner assessment techniques mainly reflect how students interact with, rather than learn from, the courses.
“Using data derived from interaction mechanisms currently available in MOOC platforms, machine learning-based learner assessment techniques mainly reflect how students interact with, rather than learn from, the courses.9,26,27”
From Towards AI-Powered Personalization in MOOC Learning (2017) · cites this paper as [27]
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- Authors
- Wilkowski, J., Deutsch, A., & Russell, D. M.
- Affiliations
- Google (United States) (US)
- ORCID
- Russell, Daniel M.
- Venue
- Proceedings of the first ACM conference on Learning @ scale conference
- Publisher
- ACM
- Published
- 2014-03-04
- Pages
- 3-10
- OpenAlex
- W2164972124
- Cited by
- 89
- References
- 7
- Citations by year
- 2024: 1 · 2023: 3 · 2022: 5 · 2021: 8 · 2020: 14 · 2019: 8 · 2018: 9 · 2017: 10 · 2016: 12 · 2015: 17 · 2014: 2
- FWCI
- 8.68
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM Conference on Learning @ Scale (L@S) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Social Sciences › Education › Online and Blended Learning
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Keywords
- massive open online courses, student goals, goal achievement, course completion, certificate of completion
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