Gap Assessment and AI-Based Quality Enhancement In Medical Curriculum: CIPP Framework
Abstract
Objective: The current study aims to evaluate and redesign the curriculum of one of Pakistan's leading medical institutes by identifying its strengths and gaps and designing a more robust corrective plan.
Methodology: The CIPP model (Context, Input, Process, Product) was used as the main evaluation model in the present study. It incorporated Harden’s SPICES principles and the famous eleven steps of the Integration model. The current study identified gaps in the 5th year MBBS curriculum of UHS and further proposed an artificial intelligence (AI) based quality enhancement tool to bridge this gap.
Results: The study has found the need for regular use of AI assistance for the evaluation of curriculum and quality enhancement. We identified that the curriculum of UHS is suffering deficiencies at the levels 6 and 7 (Harden’s 11-step integration model) and recommends for employment of AI synchronization model for more vigorous improvement in integration throughout the curriculum.
Conclusion: A comprehensive curriculum evaluation should be performed for the incorporation of the latest high-tech advances in medical education. An artificial intelligence-based AI synchronization model proposed in the current study could efficiently and effectively improve teaching, learning, and assessment.
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