Generative AI Adoption in Postsecondary Education, AI Hype, and ChatGPT's Launch
- URL: http://arxiv.org/abs/2508.01003v1
- Date: Fri, 01 Aug 2025 18:14:36 GMT
- Title: Generative AI Adoption in Postsecondary Education, AI Hype, and ChatGPT's Launch
- Authors: Isabel Pedersen,
- Abstract summary: This paper contributes to the study of the multifaceted influence of generative AI.<n>It focuses on the rise of OpenAI's ChatGPT within academic settings during the first six months after the release.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The rapid integration of generative artificial intelligence (AI) into postsecondary education and many other sectors resulted in a global reckoning with this new technology. This paper contributes to the study of the multifaceted influence of generative AI, with a particular focus on OpenAI's ChatGPT within academic settings during the first six months after the release in three specific ways. First, it scrutinizes the rise of ChatGPT as a transformative event construed through a study of mainstream discourses exhibiting AI hype. Second, it discusses the perceived implications of generative AI for writing, teaching, and learning through the lens of critical discourse analysis and critical AI studies. Third, it encourages the necessity for best practices in the adoption of generative AI technologies in education.
Related papers
- AI Literacy in K-12 and Higher Education in the Wake of Generative AI: An Integrative Review [3.5297361401370044]
There is little consensus among researchers and practitioners on how to discuss and design AI literacy interventions.<n>This paper applies an integrative review method to examine empirical and theoretical AI literacy studies published since 2020.
arXiv Detail & Related papers (2025-02-27T23:32:03Z) - Artificial Intelligence from Idea to Implementation. How Can AI Reshape the Education Landscape? [0.0]
The paper shows how AI technologies have moved from theoretical constructs to practical tools that are reshaping pedagogical approaches and student engagement.
The essay concludes by discussing the prospects of AI in education, emphasizing the need for a balanced approach that considers both technological advancements and societal implications.
arXiv Detail & Related papers (2024-07-14T04:40:16Z) - Bringing Generative AI to Adaptive Learning in Education [58.690250000579496]
We shed light on the intersectional studies of generative AI and adaptive learning.
We argue that this union will contribute significantly to the development of the next-stage learning format in education.
arXiv Detail & Related papers (2024-02-02T23:54:51Z) - From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the
Generative Artificial Intelligence (AI) Research Landscape [5.852005817069381]
The study critically examined the current state and future trajectory of generative Artificial Intelligence (AI)
It explored how innovations like Google's Gemini and the anticipated OpenAI Q* project are reshaping research priorities and applications across various domains.
The study highlighted the importance of incorporating ethical and human-centric methods in AI development, ensuring alignment with societal norms and welfare.
arXiv Detail & Related papers (2023-12-18T01:11:39Z) - Exploration with Principles for Diverse AI Supervision [88.61687950039662]
Training large transformers using next-token prediction has given rise to groundbreaking advancements in AI.
While this generative AI approach has produced impressive results, it heavily leans on human supervision.
This strong reliance on human oversight poses a significant hurdle to the advancement of AI innovation.
We propose a novel paradigm termed Exploratory AI (EAI) aimed at autonomously generating high-quality training data.
arXiv Detail & Related papers (2023-10-13T07:03:39Z) - The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Ernie [0.17999333451993949]
This review paper delves deep into the rapidly evolving landscape of digital education by contrasting the capabilities and impact of OpenAI's pioneering text generation tools like Bing Chat, Bard, Ernie.<n>The study underscores its role in democratizing education, fostering autodidacticism, and magnifying student engagement.<n>However, with such transformative power comes the potential for misuse, as text-generation tools can inadvertently challenge academic integrity.
arXiv Detail & Related papers (2023-09-05T08:15:00Z) - Identifying and Mitigating the Security Risks of Generative AI [179.2384121957896]
This paper reports the findings of a workshop held at Google on the dual-use dilemma posed by GenAI.
GenAI can be used just as well by attackers to generate new attacks and increase the velocity and efficacy of existing attacks.
We discuss short-term and long-term goals for the community on this topic.
arXiv Detail & Related papers (2023-08-28T18:51:09Z) - Generative AI: Implications and Applications for Education [0.0]
The launch of ChatGPT in November 2022 precipitated a panic among some educators while prompting qualified enthusiasm from others.
Under the umbrella term Generative AI, ChatGPT is an example of a range of technologies for the delivery of computer-generated text, image, and other digitized media.
arXiv Detail & Related papers (2023-05-12T16:52:38Z) - A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to
GPT-5 All You Need? [112.12974778019304]
generative AI (AIGC, a.k.a AI-generated content) has made headlines everywhere because of its ability to analyze and create text, images, and beyond.
In the era of AI transitioning from pure analysis to creation, it is worth noting that ChatGPT, with its most recent language model GPT-4, is just a tool out of numerous AIGC tasks.
This work focuses on the technological development of various AIGC tasks based on their output type, including text, images, videos, 3D content, etc.
arXiv Detail & Related papers (2023-03-21T10:09:47Z) - The Role of AI in Drug Discovery: Challenges, Opportunities, and
Strategies [97.5153823429076]
The benefits, challenges and drawbacks of AI in this field are reviewed.
The use of data augmentation, explainable AI, and the integration of AI with traditional experimental methods are also discussed.
arXiv Detail & Related papers (2022-12-08T23:23:39Z) - Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society.
A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests.
This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
arXiv Detail & Related papers (2021-06-25T22:31:55Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.