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AI for Formative and Summative Assessment: A Balanced Approach
Abstract
Artificial Intelligence (AI) is significantly reshaping educational assessment, offering useful tools to enhance both formative and summative practices. This chapter explores how AI can alter and improve assessment by providing personalized, real-time feedback and adaptive learning experiences for formative evaluation, while improving the efficiency, consistency, and scalability of summative assessments through automated grading and AI-driven rubrics. The integration of AI promises substantial benefits, including time-saving measures for educators, enhanced personalization, and data-driven insights. However, it also introduces critical challenges that necessitate a redesign of assessment practices. Ethical considerations such as algorithmic bias, the need for human oversight, data privacy, the importance of the teacher-student relationship, and equitable access must be carefully addressed. This chapter advocates for a balanced approach, emphasizing the synergistic potential of AI to augment human expertise and foster ethical, effective, and equitable assessment.
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