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This paper explores AI grading in education, highlighting its benefits like efficiency and uniformity but also its drawbacks like accuracy and self-impacting biases. It addresses ethics, societal issues, and potential effects on high-stakes assessments. Case studies are used to illustrate the potential and problems of AI grading implementation. The paper emphasizes the need for ongoing research, ethical considerations, and professional development to align AI grading with educational goals and students’ needs. Regular assessment is crucial for realizing AI grading potential.

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Adapting to Change: The Role of Artificial Intelligence in Grading and its Effects on Educational Stakeholders

  • 会议论文

  • 发表日期：

    2026年

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  • Satwant Kaur,
  • Inderpreet Kaur

摘要

This paper explores AI grading in education, highlighting its benefits like efficiency and uniformity but also its drawbacks like accuracy and self-impacting biases. It addresses ethics, societal issues, and potential effects on high-stakes assessments. Case studies are used to illustrate the potential and problems of AI grading implementation. The paper emphasizes the need for ongoing research, ethical considerations, and professional development to align AI grading with educational goals and students’ needs. Regular assessment is crucial for realizing AI grading potential.