Graduate Students' Attitudes Toward Academic Integrity (AI): The Perceptions of Social Needs, Involvement of AI Issues, and Support of Misconduct-Prevented Actions

[Speaker] Pan, Sophia Jui-an:1
[Co-author] Chou, Chien:1
1:Institute of Education, National Chiao Tung University (Taiwan)

In Mid-2014, SAGE Publications revealed a peer-review fraud involving a Taiwanese scientist, which motivated the current study to investigate around 370 local graduate students' attitudes toward academic integrity (AI) through a self-developed instrument. The results indicated that, firstly, students generally perceived that local scientists neither had enough AI knowledge nor fully performed ethical conduct in research. Moreover, by t-test analyses, the differences between students' background (i.e., academic levels, majors, and types of institute) were revealed. For example, master students significantly less studied AI issues during their years of study than doctoral students; doctoral students significantly more agreed the urgent need of AI training for local academics than their counterparts; students who majored in Humanities and Social and Behavioral Sciences significantly more supported individual-level preventing actions (e.g., AI training, ethical review) than Medical, Science, and Technology majors. Suggestions for instrument modification, discussion, and future implication will be presented in the conference.
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