ImageNet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever et al.
585
Citations
26
Influential Citations
Journal of Applied Learning & Teaching
Venue
2023
Year
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.
The rapid emergence of ChatGPT has sparked intense debate in higher education about its potential to transform learning and its risks to academic integrity. This paper, published in the Journal of Applied Learning & Teaching in May 2023, provides a timely and balanced perspective on the role of ChatGPT in tertiary education. With 585 citations, it has become a key reference for educators and administrators grappling with the integration of generative AI into teaching and learning.
Grounded in constructivist learning theory, the paper argues that ChatGPT can support active, student-centered learning if used appropriately. It systematically outlines five benefits and five challenges, offering a structured framework for evaluating the tool's role. This balanced approach is particularly valuable as institutions rush to adopt or ban ChatGPT without a clear understanding of its implications.
The paper's significance lies in its practical propositions for responsible use, including education on ethical use, new assessment strategies, addressing bias, and incorporating AI literacy into graduate skills. These recommendations have influenced policy discussions and curriculum design in higher education worldwide.
As a perspective paper, it does not present empirical results or metrics. Instead, it provides a conceptual analysis that identifies five benefits and five challenges, and proposes propositions for balancing them. The paper argues that by addressing these challenges through the proposed measures, ChatGPT can enhance students' learning experiences. The high citation count (585) indicates the paper's influence and the relevance of its propositions to the academic community.
The paper has significant implications for higher education practice and policy. It urges educators and students to exercise caution and emphasizes the need for ethical, reliable, and effective use of ChatGPT. By proposing the inclusion of AI literacy as a graduate skill, it anticipates the growing importance of AI in the workforce. The paper's balanced perspective has informed institutional guidelines and sparked further research on AI in education. Its widespread citation reflects its role in shaping the discourse on generative AI in academia, making it a foundational reference for practitioners and researchers alike.
Alex Krizhevsky, Ilya Sutskever et al.
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