TY - GEN
T1 - University Students’ Perceptions of Using Generative AI in Digital Story Creation
T2 - 18th International Conference on Blended Learning, ICBL 2025
AU - Liu, Ruixue
AU - Meng, Jingrou
AU - Lee, Lap Kei
AU - Wei, Xiaodong
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Digital Storytelling
KW - Generative Artificial Intelligence
KW - Higher Education
UR - https://www.scopus.com/pages/publications/105009979279
U2 - 10.1007/978-981-96-8430-4_5
DO - 10.1007/978-981-96-8430-4_5
M3 - Conference contribution
AN - SCOPUS:105009979279
SN - 9789819684298
T3 - Lecture Notes in Computer Science
SP - 63
EP - 73
BT - Blended Learning. Sustainable and Flexible Smart Learning - 18th International Conference on Blended Learning, ICBL 2025, Proceedings
A2 - Ma, Will W. K.
A2 - Cheung, Simon S. K.
A2 - Li, Chen
A2 - Prayadsab, Praewpran
A2 - Mungwattana, Anan
Y2 - 22 July 2025 through 25 July 2025
ER -