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      ChatGPT in education: global reactions to AI innovations

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          Abstract

          The release and rapid diffusion of ChatGPT have caught the attention of educators worldwide. Some educators are enthusiastic about its potential to support learning. Others are concerned about how it might circumvent learning opportunities or contribute to misinformation. To better understand reactions about ChatGPT concerning education, we analyzed Twitter data (16,830,997 tweets from 5,541,457 users). Based on topic modeling and sentiment analysis, we provide an overview of global perceptions and reactions to ChatGPT regarding education. ChatGPT triggered a massive response on Twitter, with education being the most tweeted content topic. Topics ranged from specific (e.g., cheating) to broad (e.g., opportunities), which were discussed with mixed sentiment. We traced that authority decisions may influence public opinions. We discussed that the average reaction on Twitter (e.g., using ChatGPT to cheat in exams) differs from discussions in which education and teaching–learning researchers are likely to be more interested (e.g., ChatGPT as an intelligent learning partner). This study provides insights into people's reactions when new groundbreaking technology is released and implications for scientific and policy communication in rapidly changing circumstances.

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              Emotion and Decision Making

              A revolution in the science of emotion has emerged in recent decades, with the potential to create a paradigm shift in decision theories. The research reveals that emotions constitute potent, pervasive, predictable, sometimes harmful and sometimes beneficial drivers of decision making. Across different domains, important regularities appear in the mechanisms through which emotions influence judgments and choices. We organize and analyze what has been learned from the past 35 years of work on emotion and decision making. In so doing, we propose the emotion-imbued choice model, which accounts for inputs from traditional rational choice theory and from newer emotion research, synthesizing scientific models.
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                Author and article information

                Contributors
                tim.fuetterer@uni-tuebingen.de
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                15 September 2023
                15 September 2023
                2023
                : 13
                : 15310
                Affiliations
                [1 ]Hector Research Institute of Education Sciences and Psychology, University of Tübingen, ( https://ror.org/03a1kwz48) Europastraße 6, 72072 Tübingen, Germany
                [2 ]GRID grid.266093.8, ISNI 0000 0001 0668 7243, University of California, ; Irvine, USA
                [3 ]Leibniz-Institut für Wissensmedien, ( https://ror.org/03hv28176) Tübingen, Germany
                Author information
                http://orcid.org/0000-0001-5399-9557
                http://orcid.org/0000-0002-8809-2776
                http://orcid.org/0000-0002-7395-6180
                http://orcid.org/0000-0003-3158-0899
                http://orcid.org/0000-0002-1753-8435
                http://orcid.org/0000-0002-6817-4416
                http://orcid.org/0000-0003-1358-6779
                Article
                42227
                10.1038/s41598-023-42227-6
                10504368
                37714915
                735a7607-53bb-4555-8862-36e0c5172d7f
                © Springer Nature Limited 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 20 April 2023
                : 7 September 2023
                Funding
                Funded by: Eberhard Karls Universität Tübingen (1020)
                Categories
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                © Springer Nature Limited 2023

                Uncategorized
                psychology,human behaviour
                Uncategorized
                psychology, human behaviour

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