Academic Integrity Training Module for Academic Stakeholders: IEPAR Framework

Author:

Khan Zeenath RezaORCID

Abstract

AbstractThe global surge in academic misconduct during the COVID-19 pandemic, exacerbated by remote teaching and online assessment, necessitates a comprehensive understanding of the multidimensional aspects and stakeholders' perspectives associated with this issue. This paper addresses the prevalent use of answer-providing sites and other types of academic misconduct, underscoring the challenge of detecting all or most of the student misconduct. Exploring factors such as faculty inexperience in remote teaching and assessment, the paper advocates for proactive measures to preserve integrity in education. Emphasizing the need for a culture of integrity beyond traditional classrooms, the paper reviews existing models, then details steps to create a framework using the International Labour Organization (ILO)’s TREE training method. It presents the IEPAR framework (Inspiration, Education, Pedagogical considerations, Assessment design, Response and Restorative practice), and assesses its effectiveness. Incorporating faculty feedback, the paper concludes with evidence-based findings, positioning the IEPAR framework as a robust approach for addressing academic misconduct and fostering a culture of academic integrity in higher education through responsible training of all stakeholders.

Funder

The University of Wollongong

Publisher

Springer Science and Business Media LLC

Reference66 articles.

1. Ally, M., & Wark, N. (2020). Sustainable Development and Education in the Fourth Industrial Revolution (4IR). Commonwealth of Learning (COL). British Columbia. Canada. http://hdl.handle.net/11599/3698

2. Adzima, K. (2020). Examining online cheating in higher education using traditional classroom cheating as a guide. The Electronic Journal of e-Learning, 18(6), 476–493. Available online at www.ejel.org

3. Anderson, L.W., Krathwohl, D. R., Airasian, P. W., Cruikshank, K. A., Mayer, R. E., Pintrich, P. R., Raths, J., & Wittrock, M. C. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s Taxonomy of Educational Objectives (Complete edition). Longman. Retrieved November 10, 2023, from https://www.uky.edu/~rsand1/china2018/texts/Anderson-Krathwohl%20-%20A%20taxonomy%20for%20learning%20teaching%20and%20assessing.pdf

4. Awdry, R., & Ives, B. (2021). Students cheat more often from those known to them: Situation matters more than the individual. Assessment & Evaluation in Higher Education, 46(8), 1254–1268. https://doi.org/10.1080/02602938.2020.1851651

5. Benson, L., & Enstroem, R. (2023). A model for preventing academic misconduct: Evidence from a large-scale intervention. International Journal for Educational Integrity, 19, 25. https://doi.org/10.1007/s40979-023-00147-y

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