Abstract
Digital storytelling motivates students to effectively organize and express their ideas meaningfully. Students face challenges in educational digital story design and storytelling creation. High-quality digital stories require time for planning, creation, and refinement. Recently, researchers started to examine the possibility of co-writing stories with ChatGPT. This study used Cohen's four story elements to build an AI chatbot. We investigated the effects of the AI chatbot on students' story design performance and intrinsic motivation before and after using it via a case study design. The results showed significant differences in students' story design performance among the pre-, mid-, and post-intervention test phases. Students reported high levels of perceived ease and usefulness of the chatbot with a positive attitude. However, there was no significant difference in intrinsic motivation to story design before and after the use. Some suggestions for improving the chatbot design and implications were discussed. Copyright © 2024 IEEE.
Original language | English |
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Title of host publication | Proceedings of 2024 the 4th International Conference on Educational Technology (ICET 2024) |
Place of Publication | USA |
Publisher | IEEE |
ISBN (Electronic) | 9798350376944 |
DOIs | |
Publication status | Published - 2024 |
Citation
Bai, S., & Chan, T.-T. (2024). Enhancing students’ digital story design: Investigating the impact of an AI chatbot on performance and intrinsic motivation. In Proceedings of 2024 the 4th International Conference on Educational Technology (ICET 2024). IEEE. https://doi.org/10.1109/ICET62460.2024.10867905Keywords
- Artificial intelligence
- Chatbot
- Digital storytelling
- Intrinsic motivation