This chapter explores the role of artificial intelligence (AI) in advancing personalized learning and adaptive assessments, emphasizing its potential to tailor educational experiences to individual learner needs. It examines how AI systems dynamically adjust assessment content, pacing, and difficulty based on real-time data and student interactions. The chapter highlights the benefits of these technologies, including improved engagement, targeted feedback, and enhanced learning outcomes. It also addresses challenges such as ensuring equity, mitigating bias, and maintaining transparency in adaptive systems. Through practical examples and strategies for implementation, this chapter provides a roadmap for integrating AI into education to create more personalized, inclusive, and effective learning environments.

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Implementing AI-Assisted Assessment in Educational Institutions

  • Goran Trajkovski,
  • Heather Hayes

摘要

This chapter explores the role of artificial intelligence (AI) in advancing personalized learning and adaptive assessments, emphasizing its potential to tailor educational experiences to individual learner needs. It examines how AI systems dynamically adjust assessment content, pacing, and difficulty based on real-time data and student interactions. The chapter highlights the benefits of these technologies, including improved engagement, targeted feedback, and enhanced learning outcomes. It also addresses challenges such as ensuring equity, mitigating bias, and maintaining transparency in adaptive systems. Through practical examples and strategies for implementation, this chapter provides a roadmap for integrating AI into education to create more personalized, inclusive, and effective learning environments.