Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/254
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Stankov, Emil | en_US |
dc.contributor.author | Jovanov, Mile | en_US |
dc.contributor.author | Kostadinov, Bojan | en_US |
dc.contributor.author | Madevska Bogdanova, Ana | en_US |
dc.date.accessioned | 2018-02-07T13:02:01Z | - |
dc.date.available | 2018-02-07T13:02:01Z | - |
dc.date.issued | 2015-03 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/254 | - |
dc.description.abstract | Teaching programming typically requires assessment of programming codes submitted by students (as solutions to practice or exam exercises). The task becomes particularly difficult if the number of students enrolled in the programming course being taught increases to more than 100 – in such situations the evaluation cannot be done manually in a reasonable amount of time. Furthermore, the feedback for the students becomes impossible. The need for fast assessment of programming codes has led to the development of automated grading systems. As opposed to most systems that check each program’s output for some predefined test cases in order to assess its correctness, in our previous work we have introduced a new model for semiautomatic student source code assessment. Here, based on the ideas of that model, we propose a new model for collaborative learning of programming in case when there are a large number of students involved in the system i.e. enrolled in the programming course or engaged in preparations for programming contests. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | IEEE | en_US |
dc.title | A new model for collaborative learning of programming using source code similarity detection | en_US |
dc.type | Proceeding article | en_US |
dc.relation.conference | 2015 IEEE Global Engineering Education Conference (EDUCON) | en_US |
dc.identifier.doi | 10.1109/educon.2015.7096047 | - |
dc.identifier.url | http://xplorestaging.ieee.org/ielx7/7086909/7095933/07096047.pdf?arnumber=7096047 | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.