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Exploring Perceptions of Educators about ChatGPT in Higher Education
University West, School of Business, Economics and IT.
2023 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This study delves into the evolving role of artificial intelligence in education by examining the perceptions of educators towards the incorporation of ChatGPT, a generative AI model, in higher education. Guided by the pivotal question – ”What perceptions do educators have about ChatGPT in higher education?" – the study employed thematic analysis on a chosen set of blog posts written primarily by educators. These posts shared insights on the potential ramifications of ChatGPT in the academic sphere.

The findings concur with existing literature, underscoring the promising advantages of ChatGPT such as alleviating the educators' workload, offering tailored assistance to learners, and improving the way students learn. However, challenges also emerged, including concerns about assessment integrity, latent biases within AI-generated content, and ensuring the continuation of a human-centric educational experience. Concerns also arose about data privacy and the potential for AI to facilitate cheating.

The study's intrinsic limitations comprise its concentration on educators' perspectives and the potential subjectivity of blog posts, which might not always capture a comprehensive or unbiased view. To augment our understanding, subsequent research should involve a broader array of stakeholders and harness mixed methodologies.

In building on current scholarly discussions, this study highlights how educators view ChatGPT, pointing to considerations for educational practitioners and policymakers as technology becomes more prevalent in classrooms.

Place, publisher, year, edition, pages
2023. , p. 72
Keywords [en]
AI Integration in Education, Educator Perceptions, ChatGPT in Academia, Thematic Analysis, AI-assisted Learning Benefits, AI Ethical Concerns, Assessment Integrity with AI, Human-centric Education in AI Era, Data Privacy in AI Education, Potential AI Biases
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:hv:diva-20836Local ID: EXI802OAI: oai:DiVA.org:hv-20836DiVA, id: diva2:1804669
Subject / course
Informatics
Educational program
IT och verksamhetsutveckling
Supervisors
Examiners
Available from: 2023-10-24 Created: 2023-10-13 Last updated: 2023-10-24Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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