Automated Evaluation Techniques and AI-Enhanced Methods
Sajeel Ahmed, Abira Zaki, Yongmei Bentley · Advances in educational technologies and instructional design book series · 2024
The chapter explores the transformative potential of artificial intelligence (AI) in reshaping assessment, grading, and feedback processes in higher education. They cover real-time feedback mechanisms, AI-driven practices, and evaluation of AI-based assessments, promoting a more equitable, student-centered learning environment. AI is revolutionizing higher education by providing personalized grading criteria, analyzing student data, and adjusting assessment criteria to accommodate diverse learning styles. This approach promotes student engagement, fairness, and equity, enabling educators to tailor teaching strategies and address learning gaps. The chapter emphasizes faculty training and AI-driven enhanced methods.