Name
Abstract | ||
|---|---|---|
Vast numbers of publications in computing education begin with the premise that programming is hard to learn and hard to teach. Many papers note that failure rates in computing courses, and particularly in introductory programming courses, are higher than their institutions would like. Two highly distinct research projects have established that average success rates in introductory programming courses world-wide are in the region of 67%. However, there is little published work comparing pass rates in computing courses with those in other STEM disciplines. As institutions continually ask computing educators to justify the atypical failure rates in their courses, a thoroughly researched comparison of this sort could prove useful in demonstrating whether the phenomenon is real, and, if so, whether it extends somewhat beyond the boundaries of individual institutions. This working group will gather information on pass rates in computing courses, particularly introductory programming courses, and in courses at comparable levels in other STEM disciplines. Members of the group will be required to gather the information from their own institutions, and further data will be gathered by way of a broad survey. The data will be analysed to see whether global patterns can be established, and the group will survey the literature to gather and summarise postulated explanations for any difference between pass rates in computing and in other STEM disciplines.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3304221.3325532 | Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education |
Keywords | DocType | ISBN |
cs1, failure rate, introductory programming, iticse working group, pass rate, stem disciplines | Conference | 978-1-4503-6301-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Simon | 1 | 320 | 40.39 |
| Andrew Luxton-Reilly | 2 | 398 | 51.48 |
| Vangel V. Ajanovski | 3 | 11 | 4.61 |
| Eric Fouh | 4 | 34 | 4.06 |
| Chris Gonsalvez | 5 | 0 | 0.34 |
| Juho Leinonen | 6 | 18 | 6.92 |
| Jack Parkinson | 7 | 2 | 3.76 |
| Matthew Poole | 8 | 27 | 3.23 |
| Neena Thota | 9 | 1 | 1.38 |