AI-Based Diagnostic Assessment System: Integrated With Knowledge Map in MOOCs

This paper proposes an AI-based diagnostic assessment system integrated with knowledge maps for MOOCs (university-level online courses) that uses deep learning to evaluate student mastery of content and recommend personalized learning materials. The system analyzes student performance data to generate visual knowledge maps showing areas of strength and weakness.

Massive open online courses offer a valuable platform for efficient and flexible learning. They can improve teaching and learning effectiveness by enabling the evaluation of learning behaviors and the collection of feedback from students. The knowledge map approach constitutes a suitable tool for evaluating and presenting students' learning performance levels. This study proposes an artificial-intelligence-based knowledge assessment system that integrates knowledge maps to determine students' fa

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