Custom GPT MQA Advisor for academic accreditation: innovation at the Kulliyyah of Medicine

Wan Salleh, Wan Muhamad Salahudin and Abd. Rahim, Nour El Huda (2024) Custom GPT MQA Advisor for academic accreditation: innovation at the Kulliyyah of Medicine. International Journal of Allied Health Sciences, 8 (3). p. 89. E-ISSN 2600-8491

Preview	PDF Download (647kB) | Preview
	PDF - Published Version Restricted to Registered users only Download (26MB) | Request a copy
	PDF - Published Version Restricted to Registered users only Download (2MB) | Request a copy
	PDF - Published Version Restricted to Registered users only Download (271kB) | Request a copy
Preview	PDF Download (1MB) | Preview
Preview	PDF Download (1MB) | Preview

Abstract

The CustomGPT MQA Advisor represents a significant leap in research-based innovation, integrating cutting-edge AI technology to address the complexities of the Malaysia Qualifications Agency (MQA) standards and Malaysia Medical Council (MMC) requirements in Kulliyyah of Medicine. This digital advisory system exemplifies the fusion of advanced natural language processing (NLP) and bespoke software engineering, providing higher education institutions with precise, real-time guidance on accreditation requirements. Developed using the GPT-4 framework, the advisor is capable of processing and understanding extensive MQA and MMC documentation with exceptional accuracy and nuance. It offers users an interactive platform where inquiries can be addressed contextually, akin to conversing with a human expert. The system's ability to reference specific sections of official documents bridges the gap between complex policy language and practical application, streamlining the accreditation process and enhancing users' comprehension of accreditation guidelines. Furthermore, the advisor's stateful memory system ensures continuity in interactions, tailoring advice based on the institution's history and needs. Its user-friendly interface presents feedback clearly and concisely, making it accessible to all stakeholders regardless of their familiarity with accreditation policies. As MQA and MMC update their standards, the advisor continuously learns and assimilates new information, providing institutions with the most current and relevant guidance. This ongoing evolution ensures that educational institutions remain compliant and prepared for successful accreditation, ultimately elevating the quality of education through informed decision-making.

Item Type:	Article (Abstract)
Uncontrolled Keywords:	ChatGPT, Accreditation, Quality Assurance, Malaysian Quality Agency (MQA)
Subjects:	A General Works > AI Indexes (General) R Medicine > R Medicine (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Medicine > Department of Basic Medical
Depositing User:	dr wan muhamad salahudin wan salleh
Date Deposited:	09 Sep 2024 15:02
Last Modified:	09 Sep 2024 17:19
URI:	http://irep.iium.edu.my/id/eprint/113204

Actions (login required)

View Item