ImageNet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever et al.
2.0k
Citations
118
Influential Citations
Smart Learning Environments
Venue
2023
Year
Abstract Artificial Intelligence (AI) technologies have been progressing constantly and being more visible in different aspects of our lives. One recent phenomenon is ChatGPT, a chatbot with a conversational artificial intelligence interface that was developed by OpenAI. As one of the most advanced artificial intelligence applications, ChatGPT has drawn much public attention across the globe. In this regard, this study examines ChatGPT in education, among early adopters, through a qualitative instrumental case study. Conducted in three stages, the first stage of the study reveals that the public discourse in social media is generally positive and there is enthusiasm regarding its use in educational settings. However, there are also voices who are approaching cautiously using ChatGPT in educational settings. The second stage of the study examines the case of ChatGPT through lenses of educational transformation, response quality, usefulness, personality and emotion, and ethics. In the third and final stage of the study, the investigation of user experiences through ten educational scenarios revealed various issues, including cheating, honesty and truthfulness of ChatGPT, privacy misleading, and manipulation. The findings of this study provide several research directions that should be considered to ensure a safe and responsible adoption of chatbots, specifically ChatGPT, in education.
As one of the most rapidly adopted AI tools in history, ChatGPT has sparked intense debate about its role in education. This paper is among the first to systematically examine early adopters' perspectives on ChatGPT in educational settings, capturing the initial wave of enthusiasm and concern. Published in early 2023, just months after ChatGPT's release, it provides a timely snapshot of public discourse and user experiences, making it a foundational reference for subsequent research on generative AI in education.
The study's significance lies in its holistic approach, combining social media analysis, theoretical lenses, and scenario-based user experiences. By identifying both the transformative potential and the ethical pitfalls—such as cheating, honesty, privacy, and manipulation—it offers a balanced view that informs responsible adoption. With over 2000 citations, it has clearly influenced the conversation around AI in education.
Moreover, the paper's qualitative instrumental case study design allows for rich, contextual insights that quantitative surveys might miss. It highlights the need for policy and pedagogical frameworks to address the challenges posed by conversational AI, setting a research agenda that many have since followed.
As a qualitative study, the paper does not report quantitative metrics but presents thematic findings. The social media analysis revealed a generally positive discourse with enthusiasm for ChatGPT's educational potential, alongside cautious voices urging responsible use. The scenario-based investigation uncovered multiple issues: cheating (using ChatGPT to complete assignments), concerns about honesty and truthfulness (potential for generating plausible but incorrect information), privacy misleading (risks of sharing sensitive data), and manipulation (using ChatGPT to influence or deceive). These findings underscore the dual nature of ChatGPT as both a guardian angel and a potential devil, as the title metaphorically suggests.
The paper's significance extends beyond education. It contributes to the broader discourse on AI ethics and responsible innovation by highlighting the need for guardrails in conversational AI. Its findings have informed subsequent studies on academic integrity, AI literacy, and policy development. The study also demonstrates the value of qualitative research in capturing nuanced human-AI interactions, complementing quantitative approaches. As ChatGPT and similar models become ubiquitous, this paper's call for a balanced, ethical approach remains highly relevant, influencing educators, developers, and policymakers to design and deploy AI in ways that maximize benefits while mitigating risks.
Alex Krizhevsky, Ilya Sutskever et al.
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