Automated Decision Support for Multi-Level Educational Stakeholders: An AI- Powered Dashboard Using Taiwan’s Educational Big Data

Abstract

This study integrates learning analytics and generative artificial intelligence to design an intelligent educational dashboard capable of automatically interpreting educational data and generating corresponding actionable recommendations. The system aims to support key educational stakeholders—including policymakers, teachers, and students—in carrying out their respective educational responsibilities. Based on Taiwan’s educational big data, the study analyzes a total of 14,359,163 behavioral records collected from multiple digital learning platforms. The dashboard consists of three core modules: overall performance analysis, cluster-based comparisons, and AI-generated recommendations. These modules provide real-time data insights and role-specific suggestions tailored to stakeholders at different levels of the educational system. The findings of this research have the potential to enhance data interpretation capacity in educational settings, maximize the value of educational big data, and improve the overall quality of teaching and learning. Furthermore, the proposed system offers a reference framework for future developments in AI-powered educational dashboards.