Integration of artificial intelligence technology in learning evaluation using the ADDIE method

Abstract

Artificial intelligence offers significant potential to enhance learning evaluation, yet implementing fair and objective assessments remains a challenge. This study developed an artificial intelligence-based learning evaluation system to improve assessment inclusivity and efficiency. Employing the research and development method with the analysis, design, development, implementation, and evaluation (ADDIE) model, the system features a virtual assistant chatbot and an automated grading tool artificial intelligence assessment. The product underwent validation by media and material experts, followed by field trials with 20 secondary school teachers. The results demonstrated high feasibility, with validation scores of 96% by user interface/user experience (UI/UX) and 91.2% by material experts, and an implementation feasibility score of 94.4%. The system successfully assisted teachers in reducing administrative burdens and providing personalized feedback based on student learning styles. Future developments should expand subject coverage and support diverse assessment formats.