Developing an Assessment Model of the Independent Campus Internship Program Based on an Expert System

Abstract

Improving the quality of vocational education is a critical priority to ensure that graduates possess the cognitive abilities, soft skills, and hard skills required by the modern workforce. However, significant challenges remain, such as the inability of graduates to meet workplace demands, outdated and conventional assessment methods, and the absence of expert system-based tools to evaluate the effectiveness of the Independent Learning Campus (MBKM) program. Additionally, the lack of comprehensive assessment guidelines provided by universities has further hindered the optimal implementation of this program. These issues underline the need for an innovative approach to address the gaps in assessment practices for the MBKM internship program. The objective of this research is to develop an expert system-based assessment model for the MBKM internship program that is valid, practical, and effective. The research leverages the Borg and Gall development model, focusing on creating a framework that integrates higher education assessments with industry-specific requirements. The resulting model facilitates theoretical and practical evaluations, using a website-based expert system that incorporates artificial intelligence to monitor and assess learning outcomes in real-time. The novelty of this study lies in its ability to bridge the gap between academic assessments and industry needs through an innovative, expert system-driven approach. This model provides a comprehensive assessment framework, including preparation guidelines, implementation strategies, assessment rubrics, and reporting mechanisms for lecturers, instructors, and students. By enhancing the alignment between vocational education and industry demands, this research offers a transformative contribution to the MBKM program and sets a foundation for further advancements in assessment technology.