<![CDATA[Digital archive management is an increasingly essential competence for lecturers and teachers amid the rapid integration of Artificial Intelligence (AI) in education, yet educators’ literacy and practical skills in designing AI-based digital archive instructional media remain limited. This Community Service (PKM) activity aimed to conduct a Workshop on Designing AI-Based Digital Archive Instructional Media and to evaluate its effectiveness on participants’ understanding and perception. The activity was held on 2–3 July 2026 and attended by 38 lecturers/teachers from 32 institutions. Evaluation used a one-group pretest-posttest design accompanied by a 10-item perception questionnaire (1–4 scale), analyzed using paired difference tests, effect size, N-Gain, and Cronbach’s Alpha reliability. Results showed a significant increase in understanding scores from a mean of 79.74 to 90.79 (p < .001; Cohen’s d = 0.99; N-Gain = 0.52, medium category). The perception instrument showed high reliability (α = .868) with a composite satisfaction score of 91.71 out of 100, although no significant correlation was found between perception and the magnitude of understanding gains. The activity proved effective both cognitively and affectively and may serve as a sustainable training model for educators integrating AI into digital archive management.]]>
Copyrights © 2026
