透视图(图形)
高等教育
工程伦理学
可靠性(半导体)
计算机科学
知识管理
心理学
政治学
工程类
人工智能
功率(物理)
物理
量子力学
法学
作者
Tareq Rasul,Sumesh Nair,Diane Robyn Kalendra,Mulyadi Robin,Fernando de Oliveira Santini,Wagner Júnior Ladeira,Mingwei Sun,Ingrid Day,Raouf Ahmad Rather,Liz Heathcote
出处
期刊:Journal of applied learning and teaching
[Kaplan Higher Education Academy Pte Ltd]
日期:2023-05-11
卷期号:6 (1)
被引量:510
标识
DOI:10.37074/jalt.2023.6.1.29
摘要
This paper examines the potential benefits and challenges of using the generative AI model, ChatGPT, in higher education, in the backdrop of the constructivist theory of learning. This perspective-type study presents five benefits of ChatGPT: the potential to facilitate adaptive learning, provide personalised feedback, support research and data analysis, offer automated administrative services, and aid in developing innovative assessments. Additionally, the paper identifies five challenges: academic integrity concerns, reliability issues, inability to evaluate and reinforce graduate skill sets, limitations in assessing learning outcomes, and potential biases and falsified information in information processing. The paper argues that tertiary educators and students must exercise caution when using ChatGPT for academic purposes to ensure its ethical, reliable, and effective use. To achieve this, the paper proposes various propositions, such as prioritising education on the responsible and ethical use of ChatGPT, devising new assessment strategies, addressing bias and falsified information, and including AI literacy as part of graduate skills. By balancing the potential benefits and challenges, ChatGPT can enhance students’ learning experiences in higher education.
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