AI learning modules for elementary students

Abstract

The article is a documentary research. The results were brought for assessment and trial, with the objectives to synthesize AI learning components for elementary students and to create the prototype AI learning modules for elementary students. The results revealed as follows. 1) There were 5 AI learning components for elementary students, i.e., (1) perception (of the computer world by using sensors), (2) representation & reasoning (3) machine learning (ML), (4) natural interaction, and (5) societal impacts. These 5 dimensions covered the principles of teaching educational concepts and AI. 2) There were 5 prototype AI learning modules for elementary students, i.e., (1) Perception Module, (2) Representation & Reasoning Module, (3) Machine Learning Module, (4) Natural Interaction Module, and (5) Societal Impact Module; with practice through teaching media in accordance with the contents. There was an intelligent decision support system (IDSS) to assess AI learning competency for students. To clarify, the system predicted each dimensions of their AI ability. There was also an intelligent advice management system (IAMS) for teachers to reinforce learning management. The prototype modules were assessed by 5 experts. It was found that the suitability of most modules was highest, followed by the high ones.