- Title
- A contextualised framework of academic integrity policy and practices in Islamic religious higher education institutions in Indonesia: perspectives of policy implementers
- Creator
- Akbar
- Relation
- University of Newcastle Research Higher Degree Thesis
- Resource Type
- thesis
- Date
- 2024
- Description
- Research Doctorate - Doctor of Philosophy (PhD)
- Description
- This study explored a culture of academic integrity (AI) in the context of Islamic Religious Higher Education (IRHE) in Indonesia, specifically focusing on AI policy and practices. The objective of the study was to identify common cross-institutional themes related to AI culture communicated within and about AI policies. This was to understand practices of AI in the context of IRHE institutions, and to examine perceptions of policy implementers in IRHE institutions about the current AI policies and their practices at their IRHE institutions. This study involved document analysis and interviews. The document analysis consisted of the analysis of AI policies and other published documents (e.g., news reports) that reflected AI practices. These data were gathered from relevant sources, including the official websites of three IRHE institutions. As a result, ten AI national policies, fifty-five AI policy documents at the institutional level, and eighty-eight other published documents (e.g., news reports) were collected for further analysis. Using a snowball technique, twenty-eight policy implementers in the IRHE institutions were identified and participated in a series of interviews. The documents collected and the interviews were then analysed using content analysis to answer the research questions. The study concluded that there was a difference in the AI culture between IRHE institutions and secular higher education institutions. Religious teaching was explicitly articulated in the AI policy and practices in IRHE institutions, while in the secular higher education institutions, it was not directly stated and encouraged. However, AI policies and practices often do not directly link religious teaching with AI. The data suggested that the link between religion and AI needed to be clearly emphasised to better develop AI culture in the IRHE institutions. Along with the need to explicitly communicate the link between religion and AI, the issue of inconsistency permeated the AI policy and practice culture of the IRHE institutions. Thus, this study developed a STAR Framework of AI that was context-appropriate to address the issues highlighted and to develop an AI culture appropriate to IRHE institutions. The implementation of the framework could help the policy implementers to explicitly link religion and AI, and to address the issue of inconsistency within the current AI policy and practice culture. The findings of the study can contribute to the refinement of AI policy and practice in the IRHE institutions. The findings also provide a valuable understanding of the efforts of higher education policymakers and policy implementers in Indonesia to devise their AI policies and practice to enhance the AI culture of their institutions. Based on the study findings, this thesis proposes several practical suggestions for refinement of the AI policy and practices, along with the suggested application of the STAR Framework of AI. The proposed framework could support the IRHE institutions in developing their AI policy and practices based on their contextual needs. The thesis also proposes further studies to extend the implication of the research to other religions and other IRHE institutions, specifically in the Muslim world.
- Subject
- academic integrity; policy and practice; Islamic religious higher education; the Muslim world
- Identifier
- http://hdl.handle.net/1959.13/1497698
- Identifier
- uon:54403
- Rights
- Copyright 2024 Akbar
- Language
- eng
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| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT01 | Thesis | 2 MB | Adobe Acrobat PDF | View Details Download | ||
| View Details Download | ATTACHMENT02 | Abstract | 284 KB | Adobe Acrobat PDF | View Details Download |