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Influences on cheating practice of graduate students in IT courses: what are the factors?

Published:30 June 2003Publication History

ABSTRACT

This paper presents an analysis of results of a survey of graduate students in IT courses that aimed to gain an understanding of their views of cheating and knowledge of their cheating practice. The survey was part of an investigation into the cheating behaviour of IT students within the Faculty of Information Technology of Monash University. Using a factor analysis technique, categories of cheating behaviour and categories of reasons that could cause cheating or prevent cheating were identified. These were then used to determine possible influences on different types of cheating behaviour. A search of the literature has shown that there is a scarcity of studies of cheating behaviour of IT students, especially at the graduate level. The results of this study are informing an education program and development of policy on student cheating within our Faculty.

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Index Terms

  1. Influences on cheating practice of graduate students in IT courses: what are the factors?

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    Reviews

    Kipp Jones

    Sheard and Dick attempt to address the dearth of quality research related directly to the factors influencing cheating within the graduate information technology student body. Through this research, the authors attempt to identify not only the types or "quality" of unethical behavior, but also what factors influence this behavior. The end result indicates some courses of action that may help educators and students reduce the amount of academic misconduct. The research used a questionnaire to gather the data. From this data, a series of factor analyses were conducted to isolate the four major categories of cheating (from unacceptable assistance to exam cheating), as well as positive and negative factors that influence cheating behavior. The study was conducted over a single student body of 112 graduate information technology (IT) students. While this by no means invalidates the research findings, it should be validated against a larger and more diverse set of campus student bodies, to eliminate factors that may be isolated to a single campus or student body. Another factor that would be interesting to explore would be the correlation between students who were guilty of "major" cheating, and those that were also involved in one or more of the "minor" cheating categories. Interestingly, more than ten percent of students admitted to engaging in serious forms of cheating. This result should certainly raise interest in the associated factors that appear to influence this behavior, which included grade improvement and other external factors, as well as workload pressures. Faculty and students alike would do well to understand and address these issues, and researchers should continue to explore this topic to expand our overall understanding of this problem. Online Computing Reviews Service

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    • Published in

      cover image ACM Conferences
      ITiCSE '03: Proceedings of the 8th annual conference on Innovation and technology in computer science education
      June 2003
      291 pages
      ISBN:1581136722
      DOI:10.1145/961511
      • cover image ACM SIGCSE Bulletin
        ACM SIGCSE Bulletin  Volume 35, Issue 3
        Proceedings of the 8th annual conference on Innovation and technology in computer science education
        September 2003
        277 pages
        ISSN:0097-8418
        DOI:10.1145/961290
        Issue’s Table of Contents

      Copyright © 2003 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 30 June 2003

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