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Embracing the future of distance science education: Opportunities and challenges of ChatGPT integration

Authors: Kılınç, S;

Embracing the future of distance science education: Opportunities and challenges of ChatGPT integration

Abstract

This study focuses on how distance education can be shaped by ChatGPT, one of the most striking examples of generative AI, which is making progress considering current technological developments. Based on the idea that it will be at the center of our lives very soon with the recent developments in artificial intelligence, the study set out to exhibit specific examples of how it can be used in distance education, whose importance is better understood with the pandemic process. The prompts and outputs related to each particular case were explained in detail, and the resulting products were evaluated regarding their educational benefits and limitations. The findings emphasize the need to harness technology, cultivate a sense of community, and encourage educators to pursue continual professional development to improve the quality and participation of distance scientific education. Additionally, the study underscores the significance of ongoing research, evaluation, policy development, and implementation to create a robust framework that supports the growth of distance science education responsibly and sustainably. The study's outputs were surprisingly creative, and it was concluded that ChatGPT could be very useful for both learners and educators in distance education, even though it is stated that ChatGPT has current limitations. This research contributes valuable insights into distance science education, providing practical guidance for educators, researchers, and policymakers alike.

Kılınç, S. (2023). Embracing the future of distance science education: Opportunities and challenges of ChatGPT integration. Asian Journal of Distance Education, 18(1), 205-237. https://doi.org/10.5281/zenodo.7857396

Keywords

generative artificial intelligence, distance education, artificial intelligence in education, chatgpt, online learning

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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