Application of Generative Adversarial Network Algorithm on Journaling System with Comics and Cognitive-Behavioral Theory in Social-Emotional Learning for Intermediate Elementary Students: A Pilot Study

Shih Wen Su*, Cathy Weng, Yu Ru Chang, Chuen Tsai Sun, Sheng Fang Huang

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

Like any other skill, social-emotional learning (SEL) must be practiced to be automatic. To transform the knowledge of SEL into a practical and deliverable lesson, we propose an emotion-oriented journaling system with comics for students. The system transforms the cognitive-behavioral therapy into manageable steps using comics-based storytelling and uses a method combining the term frequency-inverse document frequency (TF-IDF) method and generative adversarial network (GAN) algorithm to implement a text-to-graphics conversion. The system was tested by 36 fifth-grade students for four weeks. The experimental result shows that 41.7% of students improved their abilities of emotional recognition and self-awareness after one month of journaling on the system. Consequently, the system provides a creative and effective way for social-emotional education while speeding up the generation of visual journaling content in less time.

原文English
主出版物標題Proceedings of the 2023 IEEE 6th International Conference on Knowledge Innovation and Invention, ICKII 2023
編輯Teen-Hang Meen
發行者Institute of Electrical and Electronics Engineers Inc.
頁面224-228
頁數5
ISBN(電子)9798350323535
DOIs
出版狀態Published - 2023
事件6th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2023 - Sapporo, Japan
持續時間: 11 8月 202313 8月 2023

出版系列

名字Proceedings of the 2023 IEEE 6th International Conference on Knowledge Innovation and Invention, ICKII 2023

Conference

Conference6th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2023
國家/地區Japan
城市Sapporo
期間11/08/2313/08/23

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