This chapter explores how artificial intelligence (AI) is driving transformative changes in education, reshaping how teaching, learning, and assessment are conducted. It highlights AI’s potential to create more equitable, personalized, and effective educational experiences while addressing systemic challenges such as resource disparities and learning gaps. The chapter examines key applications of AI, including adaptive learning platforms, data-driven decision-making, and immersive technologies such as augmented and virtual reality. Ethical considerations, including equity, bias mitigation, and privacy, are discussed alongside strategies for sustainable and responsible implementation. By providing a vision for AI’s role in shaping the future of education, this chapter emphasizes its potential as a catalyst for meaningful change.

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Practical Guide: Implementing AI-Assisted Assessment

  • Goran Trajkovski,
  • Heather Hayes

摘要

This chapter explores how artificial intelligence (AI) is driving transformative changes in education, reshaping how teaching, learning, and assessment are conducted. It highlights AI’s potential to create more equitable, personalized, and effective educational experiences while addressing systemic challenges such as resource disparities and learning gaps. The chapter examines key applications of AI, including adaptive learning platforms, data-driven decision-making, and immersive technologies such as augmented and virtual reality. Ethical considerations, including equity, bias mitigation, and privacy, are discussed alongside strategies for sustainable and responsible implementation. By providing a vision for AI’s role in shaping the future of education, this chapter emphasizes its potential as a catalyst for meaningful change.