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AI Powered Adaptive Formative Assessment: Validity and Reliability Evaluation

  • Yaw Bimpeh

摘要

This work presents an AI-powered formative assessmentFormative assessment system for secondary school mathematics that uses learning objectives, cognitive mapping, and many factors—including detailed measures of competency, metacognitionMetacognition, time—to accurately measure each learner’s weak/strong areas to determine where to place more attention. It provides timely feedback to students, enabling them to monitor their progress and identify areas of improvement. FeedbackFeedback includes explanations, hints, and targeted remediation resources based on individual learning needs. Using empirical studies, the validity, reliability, and effectivenessEffectiveness of the AI-powered formative assessmentFormative assessment system are discussed and evaluated. The results showed that the adaptive system engages students and give consistent information about students’ knowledge and ability.