Development of artificial intelligence indicator for elementary students

Abstract

This research aimed to develop the Artificial Intelligence (AI) indicator for elementary students by synthesizing the components of artificial intelligence learning for elementary students which is designed to be aware of the issue of mental health of children as well. The results were assessed for appropriateness by five experts. Findings demonstrated that the indicator consisted of five aspects ordering by the complex from Grade 1 to 5. Firstly, it was Perception which the student could explain the origin of interaction between the AI and human by designing a reception system to conduct perception and response,and draw the response diagram. Secondly, it was Representation & Reasoning which the student could explain the reasoning algorithm of the AI. Thirdly, it was Machine Learning which the student could explain the machine learning, criticize the input data defect. Fourthly, the Natural interaction, which the student could justify the purpose of data trending and improvement of AI to be more natural by creating a realistic response system. Lastly, it was the Societal Impact which the student could suggest the solution to AI system problems to be more accurate and appropriate with the fewest impact on humans and facilitate human living efficiently.