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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


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.

Original languageEnglish
Article number100012
JournalComputers and Education: Artificial Intelligence
Publication statusPublished - 2021 Jan


  • Artificial intelligence education
  • Behavioral patterns
  • Interdisciplinary instructional tool

ASJC Scopus subject areas

  • Education
  • Computer Science Applications
  • Artificial Intelligence


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