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Detection of similarity rate of compiler independent text based computer programming assignment and homework grading

Year 2015, , 1197 - 1204, 28.12.2015
https://doi.org/10.24289/ijsser.279129

Abstract

Parallel to the developments in information technology, digital content that anyone can easily reach such as information, records, documents, lecture notes, assignments, books, magazines and the like has also increased. Electronic data is easily accessible, convenient and very useful for research, but it can also lead to such undesirable attitudes as laziness in students as well as copying and pasting information and plagiarism. Any kinds of information can be circulated immediately around the world through such tools as the internet, e-mails, smart phones, social media, flash disks etc. This situation hinders the students' ability to discover their abilities, their research capabilities and self-development. On the other hand, it also makes it difficult to determine to what extent the students are influenced from one another in the evaluation of the homework assignments. In this study, the homework assignments of the students from any course will be followed-up in the electronic environment and their similarity rate will be automatically detected. Thus, both the teachers will be able to evaluate the homework assignments in a sounder and easier manner and the students’ tendency for copying and pasting and plagiarism will be prevented to a certain extent. The study is conducted in an aspx.Net web environment coded in C # programming language and using MSSQL Express database. 

Parallel to the developments in information technology, digital content that anyone can easily reach such as information, records, documents, lecture notes, assignments, books, magazines and the like has also increased. Electronic data is easily accessible, convenient and very useful for research, but it can also lead to such undesirable attitudes as laziness in students as well as copying and pasting information and plagiarism. Any kinds of information can be circulated immediately around the world through such tools as the internet, e-mails, smart phones, social media, flash disks etc. This situation hinders the students' ability to discover their abilities, their research capabilities and self-development. On the other hand, it also makes it difficult to determine to what extent the students are influenced from one another in the evaluation of the homework assignments. In this study, the homework assignments of the students from any course will be followed-up in the electronic environment and their similarity rate will be automatically detected. Thus, both the teachers will be able to evaluate the homework assignments in a sounder and easier manner and the students’ tendency for copying and pasting and plagiarism will be prevented to a certain extent. The study is conducted in an aspx.Net web environment coded in C # programming language and using MSSQL Express database. 

Year 2015, , 1197 - 1204, 28.12.2015
https://doi.org/10.24289/ijsser.279129

Abstract

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Journal Section Makaleler
Authors

Muhammer İlkuçar This is me

Publication Date December 28, 2015
Published in Issue Year 2015

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APA İlkuçar, M. (2015). Detection of similarity rate of compiler independent text based computer programming assignment and homework grading. International Journal of Social Sciences and Education Research, 1(4), 1197-1204. https://doi.org/10.24289/ijsser.279129
AMA İlkuçar M. Detection of similarity rate of compiler independent text based computer programming assignment and homework grading. International Journal of Social Sciences and Education Research. December 2015;1(4):1197-1204. doi:10.24289/ijsser.279129
Chicago İlkuçar, Muhammer. “Detection of Similarity Rate of Compiler Independent Text Based Computer Programming Assignment and Homework Grading”. International Journal of Social Sciences and Education Research 1, no. 4 (December 2015): 1197-1204. https://doi.org/10.24289/ijsser.279129.
EndNote İlkuçar M (December 1, 2015) Detection of similarity rate of compiler independent text based computer programming assignment and homework grading. International Journal of Social Sciences and Education Research 1 4 1197–1204.
IEEE M. İlkuçar, “Detection of similarity rate of compiler independent text based computer programming assignment and homework grading”, International Journal of Social Sciences and Education Research, vol. 1, no. 4, pp. 1197–1204, 2015, doi: 10.24289/ijsser.279129.
ISNAD İlkuçar, Muhammer. “Detection of Similarity Rate of Compiler Independent Text Based Computer Programming Assignment and Homework Grading”. International Journal of Social Sciences and Education Research 1/4 (December 2015), 1197-1204. https://doi.org/10.24289/ijsser.279129.
JAMA İlkuçar M. Detection of similarity rate of compiler independent text based computer programming assignment and homework grading. International Journal of Social Sciences and Education Research. 2015;1:1197–1204.
MLA İlkuçar, Muhammer. “Detection of Similarity Rate of Compiler Independent Text Based Computer Programming Assignment and Homework Grading”. International Journal of Social Sciences and Education Research, vol. 1, no. 4, 2015, pp. 1197-04, doi:10.24289/ijsser.279129.
Vancouver İlkuçar M. Detection of similarity rate of compiler independent text based computer programming assignment and homework grading. International Journal of Social Sciences and Education Research. 2015;1(4):1197-204.

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