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ArticleFrontiers in artificial intelligence2024

A MAGDM approach for evaluating the impact of artificial intelligence on education using 2-tuple linguistic

Abid Mahboob, Zafar Ullah, Ali Ovais, Muhammad Waheed Rasheed, S A Edalatpanah, Kainat Yasin

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Article in Frontiers in artificial intelligence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Abid MahboobDepartment of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan.
Zafar UllahDepartment of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan.
Ali OvaisDepartment of Mathematics, University of Engineering and Technology, Lahore, Pakistan.
Muhammad Waheed RasheedDepartment of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan.
S A EdalatpanahDepartment of Applied Mathematics, Ayandegan Institute of Higher Education, Tonekabon, Iran.
Kainat YasinDepartment of Mathematics, Air University Islamabad, Multan, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Indexed as

2-tuple linguistic q-rung orthopair fuzzy setentropyimpact of AI in educationMAGDMVIKOR

Identifiers

PMID38550976
PMCPMC10972881

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.