Perceptions of artificial intelligence in academic teaching and research: a qualitative study from AI experts and professors’ perspectives
Abstract 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 academ...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-08-01
|
| Series: | International Journal of Educational Technology in Higher Education |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41239-025-00546-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849343531190059008 |
|---|---|
| author | Ana Daniela Peres Rebelo Verboom Leonor Pais Fred R. H. Zijlstra Frederick L. Oswald Nuno Rebelo dos Santos |
| author_facet | Ana Daniela Peres Rebelo Verboom Leonor Pais Fred R. H. Zijlstra Frederick L. Oswald Nuno Rebelo dos Santos |
| author_sort | Ana Daniela Peres Rebelo Verboom |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-bfbb83f1f2644b2896e633458b99ffac |
| institution | Kabale University |
| issn | 2365-9440 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | International Journal of Educational Technology in Higher Education |
| spelling | doaj-art-bfbb83f1f2644b2896e633458b99ffac2025-08-20T03:42:56ZengSpringerOpenInternational Journal of Educational Technology in Higher Education2365-94402025-08-0122112310.1186/s41239-025-00546-wPerceptions of artificial intelligence in academic teaching and research: a qualitative study from AI experts and professors’ perspectivesAna Daniela Peres Rebelo Verboom0Leonor Pais1Fred R. H. Zijlstra2Frederick L. Oswald3Nuno Rebelo dos Santos4Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), Faculty of Psychology and Education Sciences, University of CoimbraCenter for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), Faculty of Psychology and Education Sciences, University of CoimbraDepartment of Work & Social Psychology, Maastricht UniversityDepartment of Psychological Sciences, Rice UniversityResearch Centre in Education and Psychology (CIEP-UÉ), School of Social Sciences, Universidade de ÉvoraAbstract 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.https://doi.org/10.1186/s41239-025-00546-wArtificial intelligenceAcademic workEthicsDecent workSocio-technical systemsHigher education |
| spellingShingle | Ana Daniela Peres Rebelo Verboom Leonor Pais Fred R. H. Zijlstra Frederick L. Oswald Nuno Rebelo dos Santos Perceptions of artificial intelligence in academic teaching and research: a qualitative study from AI experts and professors’ perspectives International Journal of Educational Technology in Higher Education Artificial intelligence Academic work Ethics Decent work Socio-technical systems Higher education |
| title | Perceptions of artificial intelligence in academic teaching and research: a qualitative study from AI experts and professors’ perspectives |
| title_full | Perceptions of artificial intelligence in academic teaching and research: a qualitative study from AI experts and professors’ perspectives |
| title_fullStr | Perceptions of artificial intelligence in academic teaching and research: a qualitative study from AI experts and professors’ perspectives |
| title_full_unstemmed | Perceptions of artificial intelligence in academic teaching and research: a qualitative study from AI experts and professors’ perspectives |
| title_short | Perceptions of artificial intelligence in academic teaching and research: a qualitative study from AI experts and professors’ perspectives |
| title_sort | perceptions of artificial intelligence in academic teaching and research a qualitative study from ai experts and professors perspectives |
| topic | Artificial intelligence Academic work Ethics Decent work Socio-technical systems Higher education |
| url | https://doi.org/10.1186/s41239-025-00546-w |
| work_keys_str_mv | AT anadanielaperesrebeloverboom perceptionsofartificialintelligenceinacademicteachingandresearchaqualitativestudyfromaiexpertsandprofessorsperspectives AT leonorpais perceptionsofartificialintelligenceinacademicteachingandresearchaqualitativestudyfromaiexpertsandprofessorsperspectives AT fredrhzijlstra perceptionsofartificialintelligenceinacademicteachingandresearchaqualitativestudyfromaiexpertsandprofessorsperspectives AT frederickloswald perceptionsofartificialintelligenceinacademicteachingandresearchaqualitativestudyfromaiexpertsandprofessorsperspectives AT nunorebelodossantos perceptionsofartificialintelligenceinacademicteachingandresearchaqualitativestudyfromaiexpertsandprofessorsperspectives |