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Proposal of a Framework to Enhance the Adoption of Artificial Intelligence in Higher Education Considering Sustainable Development: A Hybrid Lawshe-TOPSIS Approach

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Title: Proposal of a Framework to Enhance the Adoption of Artificial Intelligence in Higher Education Considering Sustainable Development: A Hybrid Lawshe-TOPSIS Approach
Language: English
Authors: Reimison Moreira Fernandes, Verônica de Menezes Nascimento Nagata (ORCID 0000-0002-9380-2314), Walter Leal Filho, Izabela Simon Rampasso, Lucas Veiga Avila, Jonhatan Magno Norte da Silva (ORCID 0000-0003-4084-9511), Rosley Anholon, Vitor William Batista Martins (ORCID 0000-0003-4891-8630)
Source: International Journal of Educational Management. 2026 40(1-2):8-28.
Availability: Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight
Peer Reviewed: Y
Page Count: 21
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Sustainable Development, Adoption (Ideas), Developing Nations, Models, College Faculty, Foreign Countries
Geographic Terms: Brazil
DOI: 10.1108/IJEM-08-2024-0441
ISSN: 0951-354X
1758-6518
Abstract: Purpose: The main objective of this study was to propose a framework to enhance the adoption of artificial intelligence (AI) in higher education, considering sustainable development in the context of an emerging economy country. Design/methodology/approach: The method adopted was a literature review and a survey conducted with higher education faculty members from Brazilian universities. Through an electronic questionnaire, 71 responses were collected. The data were analyzed using a hybrid Lawshe-TOPSIS approach. Findings: As a result, the validated framework highlights six challenges related to the adoption of AI in higher education and nine ordered benefits of AI adoption, with the most significant for the analyzed context being the ability to process large amounts of data; sustainable solutions for industry, commerce and the economy; adaptive teaching strategies and greater scientific assistance for students and faculty. Research limitations/implications: The article contributes to the literature by filling a research gap and provides insights for higher education institution managers regarding AI adoption in this mode of education. Originality/value: The research underscores the importance of aligning technological initiatives with sustainable development goals, providing a structured guide.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1503058
Database: ERIC
FullText Text:
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  Data: Proposal of a Framework to Enhance the Adoption of Artificial Intelligence in Higher Education Considering Sustainable Development: A Hybrid Lawshe-TOPSIS Approach
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  Data: <searchLink fieldCode="AR" term="%22Reimison+Moreira+Fernandes%22">Reimison Moreira Fernandes</searchLink><br /><searchLink fieldCode="AR" term="%22Verônica+de+Menezes+Nascimento+Nagata%22">Verônica de Menezes Nascimento Nagata</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-9380-2314">0000-0002-9380-2314</externalLink>)<br /><searchLink fieldCode="AR" term="%22Walter+Leal+Filho%22">Walter Leal Filho</searchLink><br /><searchLink fieldCode="AR" term="%22Izabela+Simon+Rampasso%22">Izabela Simon Rampasso</searchLink><br /><searchLink fieldCode="AR" term="%22Lucas+Veiga+Avila%22">Lucas Veiga Avila</searchLink><br /><searchLink fieldCode="AR" term="%22Jonhatan+Magno+Norte+da+Silva%22">Jonhatan Magno Norte da Silva</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-4084-9511">0000-0003-4084-9511</externalLink>)<br /><searchLink fieldCode="AR" term="%22Rosley+Anholon%22">Rosley Anholon</searchLink><br /><searchLink fieldCode="AR" term="%22Vitor+William+Batista+Martins%22">Vitor William Batista Martins</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-4891-8630">0000-0003-4891-8630</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Educational+Management%22"><i>International Journal of Educational Management</i></searchLink>. 2026 40(1-2):8-28.
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  Data: Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight
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  Data: 21
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  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainable+Development%22">Sustainable Development</searchLink><br /><searchLink fieldCode="DE" term="%22Adoption+%28Ideas%29%22">Adoption (Ideas)</searchLink><br /><searchLink fieldCode="DE" term="%22Developing+Nations%22">Developing Nations</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22College+Faculty%22">College Faculty</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink>
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  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Brazil%22">Brazil</searchLink>
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  Data: 10.1108/IJEM-08-2024-0441
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  Data: 0951-354X<br />1758-6518
– Name: Abstract
  Label: Abstract
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  Data: Purpose: The main objective of this study was to propose a framework to enhance the adoption of artificial intelligence (AI) in higher education, considering sustainable development in the context of an emerging economy country. Design/methodology/approach: The method adopted was a literature review and a survey conducted with higher education faculty members from Brazilian universities. Through an electronic questionnaire, 71 responses were collected. The data were analyzed using a hybrid Lawshe-TOPSIS approach. Findings: As a result, the validated framework highlights six challenges related to the adoption of AI in higher education and nine ordered benefits of AI adoption, with the most significant for the analyzed context being the ability to process large amounts of data; sustainable solutions for industry, commerce and the economy; adaptive teaching strategies and greater scientific assistance for students and faculty. Research limitations/implications: The article contributes to the literature by filling a research gap and provides insights for higher education institution managers regarding AI adoption in this mode of education. Originality/value: The research underscores the importance of aligning technological initiatives with sustainable development goals, providing a structured guide.
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  Data: 2026
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      – SubjectFull: Technology Uses in Education
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