Automatic assessment marking and plagiarism detection using SOM, fuzzy logic, and decision trees

Title: Automatic assessment marking and plagiarism detection using SOM, fuzzy logic, and decision trees
Creator: Ghosh, Moumita; Ghosh, Ranadhir
Date: 2005
Type: Text; Conference proceedings
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/57635
Identifier: vital:4769
Identifier: http://www.scopus.com/inward/record.url?eid=2-s2.0-84867359323&partnerID=40&md5=d42851b7d8b7fc37cddd562fb277731a
Abstract: In this paper, we propose and discuss a fully automated system for marking and plagiarism detection for programming assessment using self organizing map (SOM) and fuzzy logic. The plagiarism approach involves finding similarities between programs submitted by students, and rank them depending on their similarity metrics based SOM clustering. The distance from the cluster centroid for individual assignment is calculated using fuzzy technique. The system is a syntax dependant approach for C language and is based on a tree data structure with leafs and attributes that denote the semantic translation of the given program. The system has been tested successfully on real world programming assignments from software development course.
Publisher: Orlando, FL International Institute of Informatics and Systems
Rights: Copyright International Institute of Informatics and Systems
Rights: This metadata is freely available under a CCO license