Perceptions of artificial intelligence in academic teaching and research: a qualitative study from AI experts and professors’ perspectives

Gardado en:
Detalles Bibliográficos
Publicado en:International Journal of Educational Technology in Higher Education vol. 22, no. 1 (Dec 2025), p. 46
Autor Principal: Verboom, Ana Daniela Peres Rebelo
Outros autores: Pais, Leonor, Zijlstra, Fred R. H., Oswald, Frederick L., Santos, Nuno Rebelo dos
Publicado:
Springer Nature B.V.
Materias:
Acceso en liña:Citation/Abstract
Full Text
Full Text - PDF
Etiquetas: Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

MARC

LEADER 00000nab a2200000uu 4500
001 3236031966
003 UK-CbPIL
022 |a 2365-9440 
022 |a 1698-580X 
024 7 |a 10.1186/s41239-025-00546-w  |2 doi 
035 |a 3236031966 
045 2 |b d20251201  |b d20251231 
084 |a 142233  |2 nlm 
100 1 |a Verboom, Ana Daniela Peres Rebelo  |u University of Coimbra, Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), Faculty of Psychology and Education Sciences, Coimbra, Portugal (GRID:grid.8051.c) (ISNI:0000 0000 9511 4342) 
245 1 |a Perceptions of artificial intelligence in academic teaching and research: a qualitative study from AI experts and professors’ perspectives 
260 |b Springer Nature B.V.  |c Dec 2025 
513 |a Journal Article 
520 3 |a Artificial Intelligence (AI) is significantly reshaping work settings, influencing the context, conditions, and content of various professional roles. It becomes crucial to assess AI’s effect on academic work. This study explores AI’s application within teaching and research tasks in academia. Specifically, it pursues two Objectives (1) to identify and describe both current and prospective AI systems in higher education, and (2) to characterize the opportunities and risks of integrating AI into academic environments. Interviews were conducted with 28 participants from Portugal, the Netherlands, and the United States. The questions addressed AI’s influence on Ethical Principles and Decent Work Dimensions. Results were analyzed considering the Socio-Technical Systems Approach. Interviews were coded, analyzed for sentiment, and clustered into seven participant profiles based on coding similarities: “Optimists,” “Moderates,” “Dreamers,” “Cautious Skeptics,” “Expansionists,” “Knowledgeable,” and “Strategists.” Findings emphasize the importance of aligning technology and human needs to achieve successful AI integration. They also point to the value of well-defined guidelines, fair funding, and continuous professional development. By illustrating the spectrum of attitudes and readiness levels among academic stakeholders, this study offers key insights for policymakers, administrators, and educators seeking to embrace AI while preserving Ethical Principles and Decent Work standards. 
610 4 |a United Nations--UN 
653 |a Teaching 
653 |a Higher education 
653 |a Collaboration 
653 |a Professional development 
653 |a Automation 
653 |a Privacy 
653 |a Ethics 
653 |a Ethical standards 
653 |a System theory 
653 |a Accountability 
653 |a Skills 
653 |a Workers 
653 |a Artificial intelligence 
653 |a Sustainable development 
653 |a Employees 
653 |a Transparency 
653 |a Well being 
653 |a Integrated approach 
653 |a Surveillance 
653 |a Learning 
653 |a Digital technology 
653 |a Teacher attitudes 
653 |a College professors 
653 |a Interviews 
653 |a Professional training 
653 |a Policy making 
653 |a Occupational roles 
653 |a Academic work 
653 |a Optimism 
653 |a Principles 
653 |a Educational systems 
653 |a Qualitative research 
653 |a Teachers 
653 |a Attitudes 
653 |a Academic achievement 
653 |a Academic writing 
653 |a Work environment 
653 |a Systems approach 
653 |a Standards 
653 |a Research applications 
653 |a Administrators 
653 |a Economic Progress 
653 |a Professional Autonomy 
653 |a Institutional Autonomy 
653 |a Copyrights 
653 |a Skill Obsolescence 
653 |a Stakeholders 
653 |a Educational Research 
653 |a Influence of Technology 
653 |a Educational Technology 
653 |a Labor 
653 |a Social Systems 
653 |a Data Analysis 
653 |a Participant Satisfaction 
700 1 |a Pais, Leonor  |u University of Coimbra, Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), Faculty of Psychology and Education Sciences, Coimbra, Portugal (GRID:grid.8051.c) (ISNI:0000 0000 9511 4342) 
700 1 |a Zijlstra, Fred R. H.  |u Maastricht University, Department of Work & Social Psychology, Maastricht, The Netherlands (GRID:grid.5012.6) (ISNI:0000 0001 0481 6099) 
700 1 |a Oswald, Frederick L.  |u Rice University, Department of Psychological Sciences, Houston, USA (GRID:grid.21940.3e) (ISNI:0000 0004 1936 8278) 
700 1 |a Santos, Nuno Rebelo dos  |u Universidade de Évora, Research Centre in Education and Psychology (CIEP-UÉ), School of Social Sciences, Évora, Portugal (GRID:grid.8389.a) (ISNI:0000 0000 9310 6111) 
773 0 |t International Journal of Educational Technology in Higher Education  |g vol. 22, no. 1 (Dec 2025), p. 46 
786 0 |d ProQuest  |t Political Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3236031966/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3236031966/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3236031966/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch