Safeguarding Integrity in AI-Enhanced Education: Stakeholder Perspectives on Accuracy, Validity, and Ethics in ASEAN

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Bibliographic Details
Title: Safeguarding Integrity in AI-Enhanced Education: Stakeholder Perspectives on Accuracy, Validity, and Ethics in ASEAN
Language: English
Authors: Fahd Ali Raza (ORCID 0000-0003-4577-6083), Abtar Darshan Singh (ORCID 0000-0003-4525-5966), Jonathan Jeevan Strinivas Kovilpillai (ORCID 0000-0001-7517-2809), Analisa Hamdan (ORCID 0000-0003-4225-129X), Vaikunthan Rajaratnam (ORCID 0000-0001-7498-4995)
Source: European Journal of STEM Education. 2025 10(1).
Availability: Lectito Journals. Wassenaarseweb 20, 2596 CH, The Hague, The Netherlands. Tel: 31-70-2190600; e-mail: info@lectitojournals.com; Web site: http://www.lectitopublishing.nl
Peer Reviewed: Y
Page Count: 16
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Foreign Countries, Integrity, Artificial Intelligence, Stakeholders, Attitudes, Accuracy, Validity, Ethics, Technology Uses in Education, Technology Integration, Evaluation Methods, Participant Characteristics, Sex, Geographic Regions, Role, Teacher Attitudes, Educational Policy
Geographic Terms: Asia
ISSN: 2468-1954
2468-4368
Abstract: Artificial Intelligence (AI) is rapidly reshaping educational systems worldwide, raising critical debates about the reliability of AI-generated content, the validity of AI-driven assessments, and the ethical implications of its integration into diverse learning environments. This study examines the integrity of AI-enhanced education within the ASEAN region by focusing on three core dimensions: content accuracy, assessment validity, and ethical challenges. Data were collected from 661 respondents, including educators, policymakers, and technology providers, during the ASEAN Stakeholder Summit 2024 through a cross-sectional survey design. To interrogate the data, Chi-Square Tests of Independence were used to explore associations between categorical variables such as gender and ethical concerns, while ANOVA assessed differences in perceptions of AI-driven assessments across ASEAN member states. Correlation analysis further investigated relationships between respondent demographics and perceptions of AI accuracy, offering a nuanced view of stakeholder trust in AI-enabled practices. Findings indicate that while AI holds transformative potential for education, its deployment must be accompanied by region-specific guidelines, rigorous ethical safeguards, and multi-stakeholder collaboration. Such measures are essential to ensure that AI-driven education is both culturally relevant and socio-economically equitable, supporting responsible and sustainable implementation across the ASEAN context.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1491164
Database: ERIC
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