Academic Integrity Training Module for Academic Stakeholders
Iepar Framework
Bibliographic Data
| ID | 12839737 |
|---|---|
| Authors | Zeenath Reza Khan (0000-0002-3386-4222, University of Wollongong in Dubai, corresponding author) |
| Year | 2024 |
| Volume | 22 |
| Issue | 1 |
| Pages | 9-31 |
| Publication date | 2024-02-17 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Academic Ethics (JOURNAL) |
| Journal identifiers | ISSN: 1570-1727 • E-ISSN: 1572-8544 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s10805-024-09517-8 |
| OpenAlex | W4391914494 |
| Language | EN |
| Citations received | 2 |
| References cited | 41 |
The 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
Academic integrity · Business · Computer security · Data integrity · Engineering ethics · Engineering management · Knowledge management · Medical education · Process management · Research integrity · Training (meteorology · Academic integrity and plagiarism · Computer Science · Engineering · Ethics in Business and Education · Medicine · Psychology
A review of technology acceptance and adoption models and theories
Detecting contract cheating
Students cheat more often from those known to them
Mapping the landscape of academic integrity education programs
Cheating on exams
In Other (People's) Words
Using thematic analysis in psychology
Three Approaches to Qualitative Content Analysis
Moving beyond self-reports to estimate the prevalence of commercial contract cheating
| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |