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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2023 IEEE 6th International Conference on Knowledge Innovation and Invention, ICKII 2023
EditorsTeen-Hang Meen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages224-228
Number of pages5
ISBN (Electronic)9798350323535
DOIs
StatePublished - 2023
Event6th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2023 - Sapporo, Japan
Duration: 11 Aug 202313 Aug 2023

Publication series

NameProceedings 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
Country/TerritoryJapan
CitySapporo
Period11/08/2313/08/23

Keywords

  • Cognitive-behavioral Theory
  • Comics
  • Social-emotional Learning

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