AI FOR ASSESSMENT: TRANSFORMING FEEDBACK MECHANISMS IN EDUCATION
Keywords:
artificial intelligence, assessment, feedback mechanisms, education technologyAbstract
This study explores the potential of artificial intelligence (AI) in transforming assessment and feedback mechanisms within education. AI-driven tools are increasingly being used to enhance the efficiency, accuracy, and personalization of student assessments, allowing for real-time feedback that can better support individualized learning paths. The research examines how AI technologies, such as automated grading systems, natural language processing, and predictive analytics, are reshaping traditional assessment practices. It highlights the benefits of AI in providing instant, data-driven feedback that addresses student needs while reducing teacher workload. However, the study also discusses challenges related to data privacy, algorithmic biases, and the need for teacher training. The findings provide insights into how AI can be integrated effectively into educational assessment systems, offering recommendations for policy and practice to maximize its potential while ensuring fairness and equity.
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