The Impact of AIGC on Critical Thinking Disposition and Motivation Levels in Scriptwriting Courses
- DOI
- 10.2991/978-94-6463-574-4_23How to use a DOI?
- Keywords
- AIGC; Critical Thinking Disposition; Learning Motivation; Scriptwriting Education
- Abstract
This study examines the influence of Artificial Intelligence Generated Content (AIGC) on Critical Thinking Disposition (CTD) and motivation levels in micro-film scriptwriting courses. The research explores both the opportunities AIGC presents for enhancing creativity and efficiency and the challenges it poses, such as authenticity concerns, ethical dilemmas, and potential job displacement. Utilizing a quasi-experimental pretest-posttest design, the study employs statistical analyses to evaluate the impact of AIGC on students’ CTD and varying motivation levels—intrinsic motivation, extrinsic motivation, and amotivation. The findings underscore the significant effects of AIGC on critical thinking and motivation, suggesting that tailored educational strategies are necessary to effectively integrate AI technologies in scriptwriting education. These insights are crucial for understanding how to harness AI to promote critical thinking and accommodate the diverse motivational profiles of learners.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xinyu Chen AU - Wan Ahmad Jaafar Wan Yahaya AU - Zhenbin Huang AU - Xuejun Zhu PY - 2024 DA - 2024/11/21 TI - The Impact of AIGC on Critical Thinking Disposition and Motivation Levels in Scriptwriting Courses BT - Proceedings of the 4th International Conference on Internet, Education and Information Technology (IEIT 2024) PB - Atlantis Press SP - 193 EP - 200 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-574-4_23 DO - 10.2991/978-94-6463-574-4_23 ID - Chen2024 ER -