The Future of AI in Education: Personalized Learning and Student Assessment

Authors

  • Jovan Stojanovic Institute of Computer Science, University of Monaco, Monaco

Abstract

Artificial Intelligence (AI) is transforming the educational landscape by introducing personalized learning experiences and advanced assessment methods. Through adaptive learning technologies and intelligent tutoring systems, AI tailors educational content to individual students’ needs, fostering more effective and engaging learning paths. In the realm of student assessment, AI-powered tools automate grading processes and provide in-depth performance analytics, offering educators insights into student progress and areas needing improvement. This shift not only enhances the efficiency of assessments but also helps in designing targeted interventions. However, the integration of AI in education also presents challenges such as data privacy concerns and ethical dilemmas. As AI continues to evolve, its role in education is expected to expand, potentially improving educational outcomes and accessibility for diverse learner populations.

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Published

2023-10-25

How to Cite

Stojanovic, J. (2023). The Future of AI in Education: Personalized Learning and Student Assessment. MZ Computing Journal, 4(2). Retrieved from http://mzresearch.com/index.php/MZCJ/article/view/319