Abstract
Massive Open Online Courses (MOOCs) play an ever more central role in open education. However, in contrast to traditional classroom settings, many aspects of learners' behaviour in MOOCs are not well researched. In this work, we focus on modelling learner behaviour in the context of continuous assessments with completion certificates, the most common assessment setup in MOOCs today. Here, learners can obtain a completion certificate once they obtain a required minimal score (typically somewhere between 50-70%) in tests distributed throughout the duration of a MOOC. In this setting, the course material or tests provided after "passing" do not contribute to earning the certificate (which is ungraded), thus potentially affecting learners' behaviour. Therefore, we explore how ``passing'' impacts MOOC learners: do learners alter their behaviour after this point? And if so how? While in traditional classroom-based learning the role of assessment and its influence on learning behaviour has been well-established, we are among the first to provide answers to these questions in the context of MOOCs.
Original language | English |
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Title of host publication | Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization, UMAP 2017 |
Place of Publication | New York, NY |
Publisher | Association for Computing Machinery (ACM) |
Pages | 83-88 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-4503-5067-9 |
DOIs | |
Publication status | Published - 2017 |
Event | UMAP 2017: 25th ACM International Conference on User Modeling, Adaptation, and Personalization - Bratislava, Slovakia Duration: 9 Jul 2017 → 12 Jul 2017 Conference number: 25 |
Conference
Conference | UMAP 2017 |
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Country/Territory | Slovakia |
City | Bratislava |
Period | 9/07/17 → 12/07/17 |
Keywords
- MOOCs
- Learning Analytics
- Certicate Achievement