Behavioral-pattern exploration and development of an instructional tool for young children to learn AI

Ting Chia Hsu*, Hal Abelson, Natalie Lao, Yu Han Tseng, Yi Ting Lin

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

6 引文 斯高帕斯(Scopus)

摘要

This study aimed at developing an instructional tool for the artificial intelligence education of young students, and used learning analytics to identify the sequential learning behavioral patterns of students during the process of learning with the instructional tool. The instructional experiment took 9 weeks. The first stage of the course was 5 weeks spent on individual learning of MIT App Inventor and Personal Image Classifier. The second stage was 4 weeks spent on cooperative learning to make a robot car and play a computational thinking board game. In the second stage, the students worked in pairs to make the robot car. Finally, they played the computational thinking board game with the personal image classification application they developed in the first stage and the robot car they made in the second stage. The innovative studies found meaningful behavioral patterns when the young students learned the application of artificial intelligence with the instructional tool developed and proposed in the study.

原文英語
文章編號100012
期刊Computers and Education: Artificial Intelligence
2
DOIs
出版狀態已發佈 - 2021 1月

ASJC Scopus subject areas

  • 教育
  • 人工智慧
  • 電腦科學應用

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