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Applying Educational Data Mining to the Study of the Novice Programmer, within a Neo-Piagetian Theoretical Perspective
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ahadi, Alireza |
| Copyright Year | 2014 |
| Abstract | It is well known that many first year undergraduate university students struggle with learning to program. Educational Data Mining (EDM) applies data mining, machine learning and statistics to information generated from educational settings. In this PhD project, I will apply EDM to study firstsemester novice programmers, using data collected from students as they work on computers to complete their normal weekly laboratory exercises. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ppig.org/sites/ppig.org/files/2014-PPIG-25th-Ahadi.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |