An Empirical research of the Synergistic Reduction of Educational AI Algorithmic Bias by Technological Measures and Educational Awareness Raising

With the extensive application of AI in education, ethical issues like algorithmic bias have become prominent. Current research on solving AI-related educational ethical problems is insufficient, lacking in-depth exploration of relations among technological measures, education, awareness raising, and algorithmic bias. This paper addresses this issue through questionnaire survey and quantitative analysis based on equity theory. The analytical framework is constructed with technical measures, educational awareness raising, and algorithmic bias as the core. It is found that effective implementation of technical measures can directly reduce algorithmic bias and raise education and awareness, and that educational awareness raising play a mediating effect between the two. This enriches relevant research, providing guidance and promoting educational fairness and AI-education integration.