EconPapers    
Economics at your fingertips  
 

Automatic comprehension of algorithms for algorithmic assessment

Bouacha Ismail and Bensebaa Tahar

International Journal of Innovation and Learning, 2015, vol. 18, issue 4, 413-431

Abstract: The evaluation is an unpleasing load of the teacher. Usually, in programming but especially in algorithmic, many parameters must be taken into consideration (diversity of the solutions, quality standards). These parameters could make the evaluation more difficult. The promises of an automatic evaluation are really necessary to eliminate the hard task of evaluation. These promises can reduce the direct evaluation and at the same time, they can produce a common feedback of the students. Unfortunately, the automatic approaches of evaluation of the programs are not widespread. We propose an automatic evaluation approach that comprehends algorithms. This approach uses techniques of program comprehension applied in software engineering to maintain and reuse existing applications. We present the results of our first tests.

Keywords: TEL; program comprehension; software engineering; automatic comprehension; algorithms; algorithmic assessment; automatic evaluation; student feedback; technology-enhanced learning. (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=72456 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijilea:v:18:y:2015:i:4:p:413-431

Access Statistics for this article

More articles in International Journal of Innovation and Learning from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijilea:v:18:y:2015:i:4:p:413-431