The Effects of the Developments in Artificial Intelligence and Open-Access Software on the Visions of Academicians

Abstract This research aims to examine the effects of developments in Artificial Intelligence ( AI ) and open-access software on the visions of academicians. The research was conducted using the phenomenology pattern, one of the qualitative research methods, and semi-structured in-depth interviews were preferred during the data collection process. Descriptive and coding-based qualitative content analysis methods were used in the research process. Emerging themes include the use of artificial intelligence in higher education; situation analysis of the use of AI in academics ( SWOT ); and strategic dimension of using AI in higher education. These themes explain in detail the potential effects of AI and open-access software on the strategy and competitiveness dimensions of academics’ visions. It is expected that the study will make significant contributions to understanding the changes that AI and open-access software will create in the academic world and how these technologies can be integrated into the way academics work.

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Publication Details

Journal
Perspectives on Global Development and Technology
Published
2024-09-04
DOI
https://doi.org/10.1163/15691497-12341673
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.35
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article

The Effects of the Developments in Artificial Intelligence and Open-Access Software on the Visions of Academicians

Sinan Bataklar, Meri Taksi Deveciyan
1 citations
Perspectives on Global Development and Technology
AI in Service Interactions
0.35
article

The Effects of the Developments in Artificial Intelligence and Open-Access Software on the Visions of Academicians

Sinan Bataklar, Meri Taksi Deveciyan
article en
1 citations

Abstract

Abstract This research aims to examine the effects of developments in Artificial Intelligence ( AI ) and open-access software on the visions of academicians. The research was conducted using the phenomenology pattern, one of the qualitative research methods, and semi-structured in-depth interviews were preferred during the data collection process. Descriptive and coding-based qualitative content analysis methods were used in the research process. Emerging themes include the use of artificial intelligence in higher education; situation analysis of the use of AI in academics ( SWOT ); and strategic dimension of using AI in higher education. These themes explain in detail the potential effects of AI and open-access software on the strategy and competitiveness dimensions of academics’ visions. It is expected that the study will make significant contributions to understanding the changes that AI and open-access software will create in the academic world and how these technologies can be integrated into the way academics work.

Perspectives on Global Development and TechnologyVol. 23(1-2)
Istanbul Kültür University (TR)
Quality Education
Openalex Percentile: Top 34%
AI in Service Interactions
0.35
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