A new model for semiautomatic student source code assessment
Journal
Journal of computing and information technology
Date Issued
2013-10-31
Author(s)
Madevska Bogdanova, Ana
Abstract
Programming courses at university and high school level,
and competitions in informatics (programming), often
require fast assessment of the received programming
tasks solutions. This problem is usually solved by the
use of automated systems that check the produced output
for some test cases for every solution.
In this paper, we present a new model for semiautomatic
student source codes assessment for a given programming task, based on our approach of representation of the program codes as vectors. It represents a human and
computer collaborative effort. Our research on the use
of these vectors in data mining analysis of the source
codes, with the achieved excellent results on the number
of correctly clustered items, is a solid foundation for the
proposed model. At the end, we present the results of
the preliminary testing of the model.
and competitions in informatics (programming), often
require fast assessment of the received programming
tasks solutions. This problem is usually solved by the
use of automated systems that check the produced output
for some test cases for every solution.
In this paper, we present a new model for semiautomatic
student source codes assessment for a given programming task, based on our approach of representation of the program codes as vectors. It represents a human and
computer collaborative effort. Our research on the use
of these vectors in data mining analysis of the source
codes, with the achieved excellent results on the number
of correctly clustered items, is a solid foundation for the
proposed model. At the end, we present the results of
the preliminary testing of the model.
Subjects
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