{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T01:33:22Z","timestamp":1773884002107,"version":"3.50.1"},"reference-count":77,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T00:00:00Z","timestamp":1710374400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Artif. Intell."],"abstract":"<jats:p>The impact of artificial intelligence (AI) in education can be viewed as a multi-attribute group decision-making (MAGDM) problem, in which several stakeholders evaluate the advantages and disadvantages of AI applications in educational settings according to distinct preferences and criteria. A MAGDM framework can assist in providing transparent and logical recommendations for implementing AI in education by methodically analyzing the trade-offs and conflicts among many components, including ethical, social, pedagogical, and technical concerns. A novel development in fuzzy set theory is the 2-tuple linguistic <jats:italic>q<\/jats:italic>-rung orthopair fuzzy set (2TL<jats:italic>q<\/jats:italic>-ROFS), which is not only a generalized form but also can integrate decision-makers quantitative evaluation ideas and qualitative evaluation information. The 2TL<jats:italic>q<\/jats:italic>-ROF Schweizer-Sklar weighted power average operator (2TL<jats:italic>q<\/jats:italic>-ROFSSWPA) and the 2TL<jats:italic>q<\/jats:italic>-ROF Schweizer-Sklar weighted power geometric (2TL<jats:italic>q<\/jats:italic>-ROFSSWPG) operator are two of the aggregation operators we create in this article. We also investigate some of the unique instances and features of the proposed operators. Next, a new Entropy model is built based on 2TL<jats:italic>q<\/jats:italic>-ROFS, which may exploit the preferences of the decision-makers to obtain the ideal objective weights for attributes. Next, we extend the VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) technique to the 2TL<jats:italic>q<\/jats:italic>-ROF version, which provides decision-makers with a greater space to represent their decisions, while also accounting for the uncertainty inherent in human cognition. Finally, a case study of how artificial intelligence has impacted education is given to show the applicability and value of the established methodology. A comparative study is carried out to examine the benefits and improvements of the developed approach.<\/jats:p>","DOI":"10.3389\/frai.2024.1347626","type":"journal-article","created":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T04:44:55Z","timestamp":1710391495000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["A MAGDM approach for evaluating the impact of artificial intelligence on education using 2-tuple linguistic q-rung orthopair fuzzy sets and Schweizer-Sklar weighted power average operator"],"prefix":"10.3389","volume":"7","author":[{"given":"Abid","family":"Mahboob","sequence":"first","affiliation":[]},{"given":"Zafar","family":"Ullah","sequence":"additional","affiliation":[]},{"given":"Ali","family":"Ovais","sequence":"additional","affiliation":[]},{"given":"Muhammad Waheed","family":"Rasheed","sequence":"additional","affiliation":[]},{"given":"S. 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