Article: Fuzzy best-worst method for analysing the threats of AI in education Journal: International Journal of Mathematics in Operational Research (IJMOR) 2026 Vol.33 No.5 pp.1 - 18 Abstract: AI integration to support functional operations has been a growing interest in the literature owing to the numerous perceived and actual benefits. While this has been widely considered in several industries, integrating AI in education (AIEd) has been limited primarily due to diverse requirements in the educational platform. As such, it is difficult to pinpoint the threat that hampers such innovation. To provide an analytical framework to analyse the threats of applying AIEd, this paper employs the fuzzy best-worst method (BWM). To illustrate the framework, a case study in a state university in the Philippines is conducted. Interesting results revealed that the stakeholders prioritise threats related to the knowledge-based implementation of AI technologies, followed by threats related to the evaluation of the type of technologies available. Such results provide a guideline to stakeholders to address high-priority threats before integrating AIEd. Inderscience Publishers - linking academia, business and industry through research

Title: Fuzzy best-worst method for analysing the threats of AI in education

Authors: Irene Orayag Mamites

Addresses: College of Education, Cebu Technological University, Main Campus, Corner MJ Cuenco Ave. and R Palma St, Cebu City, Cebu, 6000, Philippines

Abstract: AI integration to support functional operations has been a growing interest in the literature owing to the numerous perceived and actual benefits. While this has been widely considered in several industries, integrating AI in education (AIEd) has been limited primarily due to diverse requirements in the educational platform. As such, it is difficult to pinpoint the threat that hampers such innovation. To provide an analytical framework to analyse the threats of applying AIEd, this paper employs the fuzzy best-worst method (BWM). To illustrate the framework, a case study in a state university in the Philippines is conducted. Interesting results revealed that the stakeholders prioritise threats related to the knowledge-based implementation of AI technologies, followed by threats related to the evaluation of the type of technologies available. Such results provide a guideline to stakeholders to address high-priority threats before integrating AIEd.

Keywords: artificial intelligence; education; fuzzy set theory; best-worst method; BWM.

DOI: 10.1504/IJMOR.2026.152325

International Journal of Mathematics in Operational Research, 2026 Vol.33 No.5, pp.1 - 18

Received: 31 Aug 2024
Accepted: 06 Feb 2025
Published online: 16 Mar 2026 *

Title: Fuzzy best-worst method for analysing the threats of AI in education

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