Scholarlink

This paper presents a systematic review of the role of artificial intelligence (AI) in enhancing educational assessment processes. Covering literature from 2020 to 2024, the study elucidates how AI streamlines tasks such as grading and feedback, providing objective and detailed insights into student performance. It highlights the benefits of AI in improving the design of evaluations, thereby increasing the validity and reliability of assessments. However, the review also addresses critical challenges, including concerns related to algorithmic validity, data privacy, and potential biases in AI systems. Overall, the findings suggest that while AI has the potential to significantly transform student learning assessments, careful consideration of ethical implications and challenges is essential for its effective implementation in educational settings.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

The Integration of AI in Student Learning Assessment: Systematic Review

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Khaoula Achour,
  • Lahoussaine Ait Ounejjar,
  • My Driss Laanaoui,
  • Mohamed Lachgar,
  • Mustapha Ourahay

摘要

This paper presents a systematic review of the role of artificial intelligence (AI) in enhancing educational assessment processes. Covering literature from 2020 to 2024, the study elucidates how AI streamlines tasks such as grading and feedback, providing objective and detailed insights into student performance. It highlights the benefits of AI in improving the design of evaluations, thereby increasing the validity and reliability of assessments. However, the review also addresses critical challenges, including concerns related to algorithmic validity, data privacy, and potential biases in AI systems. Overall, the findings suggest that while AI has the potential to significantly transform student learning assessments, careful consideration of ethical implications and challenges is essential for its effective implementation in educational settings.