Abstract
A recent approach to engaging students in deep learning involves an online tool, PeerWise, through which students contribute multiple-choice questions to a shared question bank. Earlier work demonstrated a strong correlation between the use of PeerWise and student performance. In this study we investigate the quality of the MCQ repository created by students in an introductory programming course by analysing the range of topics on which students chose to write questions (i.e.∼the repository coverage) without guidance from an instructor. We assess the repository coverage by comparing it with a common list of typical introductory programming topics, and by looking at its extent. We find that, despite having freedom to choose any topic, students created a repository that covered all the major topics in the curriculum.
| Original language | English |
|---|---|
| Title of host publication | ITiCSE-2009 - Proceedings of the 2009 ACM SIGCSE Annual Conference on Innovation and Technology in Computer Science Education |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 11-15 |
| Number of pages | 5 |
| ISBN (Print) | 9781605583815 |
| DOIs | |
| Publication status | Published - 2009 |
| Externally published | Yes |
| Event | Annual Conference on Innovation and Technology in Computer Science Education 2009 - Paris, France Duration: 6 Jul 2009 → 8 Jul 2009 https://dl.acm.org/toc/sigcse/2009/41/3 (Proceedings) |
Conference
| Conference | Annual Conference on Innovation and Technology in Computer Science Education 2009 |
|---|---|
| Abbreviated title | ITiCSE-2009 |
| Country/Territory | France |
| City | Paris |
| Period | 6/07/09 → 8/07/09 |
| Internet address |
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Keywords
- Automated
- Contributing student
- MCQ
- Peer assessment
- PeerWise
- Question test bank
- Topic coverage
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