Digital Education For All : Multi-University Study of Increasing Competent Student Admissions at Scale
Pirttinen, N., Leinonen, J., Auvinen, A., Lappalainen, V., Tynkkynen, K., Hedberg, H., Laakso, M.-J., & Lemström, K. (2022). Digital Education For All : Multi-University Study of Increasing Competent Student Admissions at Scale. In L@S '22 : Proceedings of the Ninth ACM Conference on Learning @ Scale (pp. 72-81). ACM. https://doi.org/10.1145/3491140.3528266
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Date
2022Discipline
Computing Education ResearchTutkintokoulutusTietotekniikkaValue Creation for Cyber-Physical Systems and ServicesComputing Education ResearchDegree EducationMathematical Information TechnologyValue Creation for Cyber-Physical Systems and ServicesCopyright
© 2022 Copyright held by the owner/author(s). Publication rights licensed to ACM
An indubitable way to put learning at scale in practice is to implement Massive Open Online Courses, or MOOCs. When a wide-enough portfolio of them is available, new applications arise. For instance, university admissions in Finland, where this study was conducted, have traditionally been based on students' grades in high school studies, an entrance examination, or a combination of both. A minority of students have been accepted through an open university admission path where students can get a study right if they complete enough university course credits with a high enough grade in a given time frame. In this work, we report results from a multi-university project in which the open university admission path has been expanded. All the universities in the Digital Education For All (DEFA) project remarkably expanded their portfolio of MOOCs that were offered both openly and for free, and the new admission path was simultaneously actively marketed and modified. In our analysis, we focus on examining whether the project increased computer science enrolments in the participating universities and how students accepted through the project perform in their studies compared to their peers accepted through other, traditional intake paths.
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ACMParent publication ISBN
978-1-4503-9158-0Conference
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L@S '22 : Proceedings of the Ninth ACM Conference on Learning @ ScaleKeywords
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https://converis.jyu.fi/converis/portal/detail/Publication/146469035
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