This chapter examines the future potential of artificial intelligence (AI) in educational assessment, focusing on emerging technologies and their implications for teaching and learning. It explores advancements such as augmented reality (AR), virtual reality (VR), and multimodal assessments, which promise to enhance engagement and evaluate complex skills like creativity, collaboration, and problem-solving. The chapter highlights how AI can bridge gaps in accessibility, foster equity, and provide deeper insights into student learning. It also addresses challenges related to scalability, infrastructure, and ethical considerations, offering strategies to ensure the responsible adoption of AI. By analyzing current trends and future possibilities, this chapter outlines how AI can redefine assessment practices to meet the evolving demands of education.

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AI-Assisted Assessment for Diverse Learners

  • Goran Trajkovski,
  • Heather Hayes

摘要

This chapter examines the future potential of artificial intelligence (AI) in educational assessment, focusing on emerging technologies and their implications for teaching and learning. It explores advancements such as augmented reality (AR), virtual reality (VR), and multimodal assessments, which promise to enhance engagement and evaluate complex skills like creativity, collaboration, and problem-solving. The chapter highlights how AI can bridge gaps in accessibility, foster equity, and provide deeper insights into student learning. It also addresses challenges related to scalability, infrastructure, and ethical considerations, offering strategies to ensure the responsible adoption of AI. By analyzing current trends and future possibilities, this chapter outlines how AI can redefine assessment practices to meet the evolving demands of education.