Abstract
Recent data-driven research has produced metrics for quantifying a novice programmer’s error profile, such as Jadud’s error quotient. However, these metrics tend to be context dependent and contain free parameters. This paper reviews the caveats of such metrics and proposes a more general approach to developing a metric. The online implementation of the proposed metric is publicly available at http://online-analysis-demo.herokuapp.com/.
| Original language | English |
|---|---|
| Title of host publication | ITiCSE 2018 |
| Subtitle of host publication | Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education |
| Editors | Irene Polycarpou, Janet C. Read, Panayiotis Andreou, Michal Armoni |
| Place of Publication | New York, NY |
| Publisher | Association for Computing Machinery |
| Pages | 10-14 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450357074 |
| DOIs | |
| Publication status | Published - 2018 |
| Externally published | Yes |
| Event | 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2018 - Larnaca, Cyprus Duration: 2 Jul 2018 → 4 Jul 2018 |
Conference
| Conference | 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2018 |
|---|---|
| Country/Territory | Cyprus |
| City | Larnaca |
| Period | 2/07/18 → 4/07/18 |
Keywords
- programming
- replication
- semantic errors
- syntactic errors
- student mistakes