Enhancing Students’ Digital Story Design: Investigating the Impact of an AI Chatbot on Performance and Intrinsic Motivation

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.

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Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1109/icet62460.2024.10867905
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.35

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article

Enhancing Students’ Digital Story Design: Investigating the Impact of an AI Chatbot on Performance and Intrinsic Motivation

Tse-Tin Chan, Shurui Bai
1 citations
AI in Service Interactions
0.35
article

Enhancing Students’ Digital Story Design: Investigating the Impact of an AI Chatbot on Performance and Intrinsic Motivation

Tse-Tin Chan, Shurui Bai
article en
1 citations

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.

Education University of Hong Kong (HK)
University of Hong Kong
Openalex Percentile: Top 29%
AI in Service Interactions
0.35
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