Using the robot-assisted Attention-Engagement-Error-Feedback- Reflection (AEER) pedagogical design to develop machine learning concepts and facilitate reflection on learning-to-learn skills: Evaluation of an empirical study in Hong Kong primary schools

This paper presents the results of an empirical study that aimed to evaluate the effectiveness of using robots to teach machine learning concepts to primary school students and consolidate their reflection on learning-to-learn skills. The pedagogical design of this study was based on the neuroscience-informed Attention-Engagement-Error-feedback-Reflection (AEER) framework. The study involved 87 Grade 5 students from Hong Kong. Data collection included pre- and post-tests on machine learning concepts, as well as pre- and post-questionnaires on learning-to-learn skills based on the AEER framework. The findings suggest that the use of purposely designed robots for understanding machine learning significantly enhanced primary school students’ understanding of machine learning concepts. Further, it can facilitate students’ reflection on their learning-to-learn skills, which have been nurtured over their years of study period, thereby effectively preparing them for the transition to secondary school education. The paper concludes with a discussion of the findings and provides potential directions for future research. Copyright © 2024 by SCITEPRESS– Science and Technology Publications, Lda.