Strategi Implementasi Inovasi Teknologi Pendidikan dan Pemanfaatan AI di Perguruan Tinggi

Abstract

The development of artificial intelligence (AI) technology has brought significant impact to the transformation of higher education, particularly in the aspect of learning evaluation and assessment. This article discusses strategies for implementing AI as a tool to assist in the process of generating exam questions and evaluating students’ answers in higher education environments. Through machine learning and natural language processing methods, AI is capable of automatically generating questions, adjusting difficulty levels, and assessing both objective and essay-based responses with high accuracy. The proposed approach includes stages of needs analysis, assessment rubric design, AI model training, validation of results, and integration into Learning Management Systems (LMS). The findings show that AI implementation improves efficiency, objectivity, and speed of learning evaluation, although human involvement remains necessary for validation and ethical oversight. This article also identifies several challenges, including human resource readiness, ethical considerations in AI use, and the need for institutional policies to ensure transparency and academic fairness.