The smart archive management practicing pipeline: a virtual online learning platform for AI literacy development in archival science

Abstract

Introduction. In order to develop AI literacy for Chinese students majoring in archival science, this study presents the design and implementation of the Smart Archival Learning Platform (SAMPP), providing an immersive environment to understand AI-driven archival workflows, develop AI skills, and improve AI competence.

Method. The implementation of the SAMPP follows a three-step strategy: 1) an introductive and immersive 3D virtual environment to fix students’ attentions on AI learning; 2) AI-powered archive management tasks for skill development, and 3) an automated online exhibition project to enhance creativity and competency.

Analysis. As an impact evaluation, both questionnaires and interviews are conducted with 55 undergraduate students majoring in archival science at Wuhan University before and after using the SAMPP. The results of the questionnaires are used for sentiment analysis, and students' attitudes toward the platform are explored through interviews.

Results. Before using the SAMPP, 66% of students had negative perceptions of AI learning. Afterwards, 58% reported positive attitudes, showing enhanced confidence in using AI for archive management. Interviews reinforced these findings.

Conclusions. The SAMPP enhances AI literacy and creativity among archival science students, making AI learning accessible and engaging. Future improvements should integrate advanced AI models to expand its capabilities.