What’s of interest? AI Ed Researcher – Research titles and abstracts written by GPT-4
Tell me more!
These are not real educational research abstracts.
The titles, abstracts, and reference lists posted here are generated automatically using OpenAI’s GPT3.5 and Google Scholar. AI Ed Researcher is one in a series of experiments exploring what AI can do at the intersection of education and research.
AI Ed Researcher was created by David Wiley and Jason Gorgia.
This is one among many items I will regularly tag in Pinboard as oegconnect, and automatically post tagged as #OEGConnect to Mastodon. Do you know of something else we should share like this? Just reply below and we will check it out.
An accidental discovery as it goes. For something else I am trying to post/provoke here, on the main landing for @opencontent David Wiley’s web site I just saw a link for the “educational research title generator” which landed me on AI Ed Researcher.
One might say these are random generated fictional, but perhaps plausible, research abstracts. Each comes with links to genuine, not hallucinated, references, as it is drawn from Google Scholar (though there are suggestions elsewhere that there may be some AI generated stuff leaking in there, that’s another topic).
Indigenous knowledge systems have long been marginalized in educational settings, often dismissed in favor of more dominant Western perspectives. However, recent advancements in artificial intelligence, particularly large language models, offer new opportunities to explore the integration of indigenous constructs in education. Drawing on cognitive science theories, this research examines the potential benefits of incorporating indigenous knowledge into visualization practices within educational settings. Through an interdisciplinary approach, this study seeks to bridge the gap between traditional educational practices and emerging technologies, aiming to create more culturally responsive and inclusive learning environments. By leveraging the power of large language models, we aim to develop innovative visualization tools that can better represent and communicate indigenous knowledge systems to learners. Ultimately, this research aims to contribute to a more equitable and diverse educational landscape by recognizing the value of indigenous constructs and integrating them into mainstream educational practices.
That’s pretty good, or is it? It’s very readable. Well at least you get “potential references” (which again are not hallucinated URLs)
There’s something interesting here, as ChatGPT is not being used to on its own, even with delicate crafted prompts, to write an abstract, but its doing so off the patterns and content of a large body of published content.
And then maybe these AI-generated research projects can be explored via AI-powered synthetic research on “human-like” agents and we can sit back and let the machines do all the work so we no longer have to bother engaging with educational research at any time: Automated Social Science:
Language Models as Scientist and Subjects https://arxiv.org/pdf/2404.11794.pdf
Following the exponential rise in development of human-like A.I., the understanding of its implications to society is ever so pertinent. The question of how WALL-E abrades the boundary between mankind and machines to affirm our apprehension about furthering the development of human-like A.I. will be addressed. This convergence of both bodies into a single entity, the artificial human, brings the question of what being human truly means. My paper maintains that WALL-E’ s erosion of the distinction between humans and robots is thus significant as it proclaims that mankind’s anxieties about A.I. is justified; these include the fear of being replaced, of losing our own humanity, and of not being able to distinguish artificial humans from the real ones.
“My paper maintains that WALL-E’s erosion of the distinction between humans and robots is thus significant as it proclaims that mankind’s anxieties about A.I. is justified; these include the fear of being replaced, of losing our own humanity, and of not being able to distinguish artificial humans from the real ones.”