The effects of assessment design on academic dishonesty, learner engagement, and certification rates in MOOCs
Background Massive Open Online Courses (MOOCs) have touted the idea of democratizing education, but soon enough, this utopian idea collided with the reality of finding sustainable business models. In addition, the promise of harnessing interactive and social web technologies to promote meaningful le...
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Veröffentlicht in: | Journal of computer assisted learning 2023-02, Vol.39 (1), p.141-153 |
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Sprache: | eng |
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Zusammenfassung: | Background
Massive Open Online Courses (MOOCs) have touted the idea of democratizing education, but soon enough, this utopian idea collided with the reality of finding sustainable business models. In addition, the promise of harnessing interactive and social web technologies to promote meaningful learning was only partially successful. And finally, studies demonstrated that many learners exploit the anonymity and feedback to earn certificates unethically. Thus, establishing MOOC pedagogical models that balance open access, meaningful learning, and trustworthy assessment remains a challenge that is crucial for the field to achieve its goals.
Objectives
This study analysed the influence of an MOOC assessment model, denoted the Competency Exam (CE), on learner engagement, the level of cheating, and certification rates. At its core, this model separates learning from for‐credit assessment, and it was introduced by the MITx Biology course team in 2016.
Methods
We applied a learning analytics methodology to the clickstream data of the verified learners (N = 559) from four consecutive runs of an Introductory Biology MOOC offered through edX. The analysis used novel algorithms for measuring the level of cheating and learner engagement, which were developed in the previous studies.
Results and Conclusions
On the positive side, the CE model reduced cheating and did not reduce learner engagement with the main learning materials – videos and formative assessment items. On the negative side, it led to procrastination, and certification rates were lower.
Implications
First, the results shed light on the fundamental connection between incentive design and learner behaviour. Second, the CE provides MOOC designers with an ‘analytically verified’ model to reduce cheating without compromising on open access. Third, our methodology provides a novel means for measuring cheating and learner engagement in MOOCs.
Lay Description
What is already known about this topic?
Massive open online courses (MOOCs) have touted the idea of democratizing education, but soon enough, this utopian idea collided with the reality of finding sustainable business models
The promise of harnessing interactive and social web technologies to promote meaningful learning was only partially successful.
Studies demonstrated that many learners exploit the anonymity and feedback to earn certificates unethically.
Thus, establishing MOOC pedagogical models that balance open access, meaningful learning, and trust |
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ISSN: | 0266-4909 1365-2729 |
DOI: | 10.1111/jcal.12733 |