Learning Effectiveness of Integrating Peer Assessment and Board Games in a Computational Thinking and Artificial Intelligence Unit: Taking Speech Recognition as Examples

Abstract

This study aims to investigate the impact of peer assessment and educational board games on computational thinking (CT) and artificial intelligence (AI) courses using a two-factor experimental design. Combining educational technology, we designed an AI speech recognition course suitable for first-year students with no prior knowledge of CT or AI. The goal is to develop their foundational understanding and application of CT and AI. By employing educational board games, the study seeks to enhance learning enjoyment, increase students’ self-efficacy in CT, and reduce their learning anxiety. Additionally, through the strategy of peer assessment, the study aims to provide benefits to students in both evaluating and being evaluated, thereby improving their learning outcomes and engagement.