生成式人工智能工具时代的高等教育评估实践

1 Pub Date : 2024-04-01 DOI:10.37074/jalt.2024.7.1.28
Bayode Ogunleye, K. I. Zakariyyah, Oluwaseun Ajao, Olakunle Olayinka, Hemlata Sharma
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引用次数: 0

摘要

高等教育(HE)部门造福于每个国家的经济和整个社会。然而,他们的贡献受到了生成式人工智能(GenAI)工具等先进技术的挑战。在本文中,我们对 GenAI 工具的评估和教学实践进行了全面评估,并随后讨论了其潜在影响。本研究使用数据科学、数据分析和建筑管理学科的三种评估工具进行了实验。我们的研究结果有两个方面:首先,研究结果表明,GenAI 工具展示了学科知识、解决问题、分析、批判性思维和表达能力,因此,如果使用不道德,可能会限制学习。其次,某些学科的评估设计揭示了 GenAI 工具的局限性。根据我们的研究结果,我们就如何在高等教育中利用人工智能工具进行教学提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Higher education assessment practice in the era of generative AI tools
The higher education (HE) sector benefits every nation's economy and society at large. However, their contributions are challenged by advanced technologies like generative artificial intelligence (GenAI) tools. In this paper, we provide a comprehensive assessment of GenAI tools towards assessment and pedagogic practice and, subsequently, discuss the potential impacts. This study experimented using three assessment instruments from data science, data analytics, and construction management disciplines. Our findings are two-fold: first, the findings revealed that GenAI tools exhibit subject knowledge, problem-solving, analytical, critical thinking, and presentation skills and thus can limit learning when used unethically. Secondly, the design of the assessment of certain disciplines revealed the limitations of the GenAI tools. Based on our findings, we made recommendations on how AI tools can be utilised for teaching and learning in HE.
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