Negative Impacts of ChatGPT on Higher Education: A Critical Review

The research "Negative Impacts of ChatGPT in Higher Education: A Critical Review" addresses the challenges brought by the use of artificial intelligence such as ChatGPT in the educational context, focusing on student dependence, superficiality in studies, and increased cases of academic plagiarism. The introduction highlights concerns about technological dependence that can weaken students' critical capacity, leading to superficial learning and plagiarism practices, according to Essel et al. (2023), Valentim and Abreu (2024), and Almeida et al. (2023). The research aims to investigate these negative impacts, filling gaps in the literature and proposing strategies for a more responsible use of technology. The methodology adopted includes a systematic literature review, semi-structured interviews with teachers, and case studies, using content analysis and thematic coding methods. The results indicate that the excessive use of ChatGPT compromises critical skills, promotes superficiality in studies, and facilitates plagiarism. The discussion emphasizes the need for educational policies that integrate AI in an ethical and responsible manner. The conclusion offers guidelines for educators and policymakers to promote the ethical use of ChatGPT in higher education, contributing to the existing literature with valuable guidance. This study contributes significantly to the understanding of the negative impacts of ChatGPT in higher education, proposing strategies that ensure a balance between the benefits and risks associated with the use of this technology.

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Identifier
DOI https://doi.org/10.17632/pn8rrgfjzb.1
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-79-96wj
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:350827
Provenance
Creator Maciel, T
Publisher Data Archiving and Networked Services (DANS)
Contributor Thiago Maciel
Publication Year 2024
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Other