A Review of Data Mining in Personalized Education: Current Trends and Future Prospects

Understand

Personalized education, tailored to individual student needs, leverages educational technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness.

• The integration of AI in educational platforms provides insights into academic performance, learning preferences, and behaviors, optimizing the personal learning process.
• Driven by data mining techniques, it not only benefits students but also provides educators and institutions with tools to craft customized learning experiences.
• To offer a comprehensive review of recent advancements in personalized educational data mining, this paper focuses on four primary scenarios: educational recommendation, cognitive diagnosis, knowledge tracing, and learning analysis.