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University Students’ Perceptions of Using Generative AI in Digital Story Creation: Cognition, Willingness, and Concerns

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The application of Generative Artificial Intelligence (GAI) in education has grown significantly, aiming to enhance teacher-student interactions, learning outcomes, and instructional experiences. Digital storytelling (DST) serves as a critical pedagogical tool in teaching and learning, and proficiency in DST design has become an essential skill for learners. However, limited research exists on applying GAI in the context of DST design. This study explored university students’ attitudes toward using GAI technology in higher education, focusing on their cognition, willingness to use, and concerns about DST creation. A total of 78 undergraduate students majoring in educational technology participated in an 18-week course on DST creation. The course incorporated GAI tools such as ChatGPT, Midjourney, and Runway to accomplish key tasks related DST tasks. After completing the course, participants completed a questionnaire assessing their perceptions of using GAI tools in DST creation. Results indicated that students generally held positive attitudes toward the application of GAI tools. Cognitively, participants not only recognized the diverse functionalities of GAI but also demonstrated an awareness of its limitations. In terms of willingness, students were inclined to support using GAI tools to assist in completing work-related tasks. However, concerns focused on data privacy and security, and the risk of over-reliance on GAI tools. By examining the use of GAI tools in DST design, this study offers practical guidance for leveraging GAI tools in DST projects and insights into students’ perceptions. These findings provide valuable implications for future technological innovations involving GAI in educational contexts.

Original languageEnglish
Title of host publicationBlended Learning. Sustainable and Flexible Smart Learning - 18th International Conference on Blended Learning, ICBL 2025, Proceedings
EditorsWill W. K. Ma, Simon S. K. Cheung, Chen Li, Praewpran Prayadsab, Anan Mungwattana
Pages63-73
Number of pages11
DOIs
Publication statusPublished - 2025
Event18th International Conference on Blended Learning, ICBL 2025 - Bangkok, Thailand
Duration: 22 Jul 2025 → 25 Jul 2025

Publication series

NameLecture Notes in Computer Science
Volume15721 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Blended Learning, ICBL 2025
Country/TerritoryThailand
CityBangkok
Period22/07/25 → 25/07/25

Keywords

  • Digital Storytelling
  • Generative Artificial Intelligence
  • Higher Education

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