Research Article

Artificial Intelligence (AI) in the Classroom: Its Relevance on Students' Academic Integrity and Values Formation  

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Psych Educ Multidisc J, 2025, 41 (2), 296-315, DOI: https://doi.org/10.70838/pemj.410209, ISSN 2822-4353
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Abstract

The increasing integration of artificial intelligence (AI) in academic settings raises concerns about its potential effects on students’ adherence to academic integrity and ethical values. This study examined the level of students' engagement with AI, their adherence to academic integrity, and the extent of their values, as well as the relationships among these variables. Utilizing a descriptive-correlational research design, data were gathered from students through a structured survey questionnaire. Descriptive and inferential statistical analyses were conducted to determine the levels of AI engagement, academic integrity adherence, and values, as well as to assess the significance of their relationships. Findings revealed that students sometimes engage with AI in academic tasks, particularly in independent learning, classroom engagement, and collaborative involvement. Similarly, students sometimes uphold academic integrity, particularly in accuracy, honesty in reporting work, and adherence to ethical guidelines. In terms of values, students sometimes demonstrate accountability and responsibility in academic settings, though responsibility showed a slightly lower mean. Correlation analysis indicated a very weak negative relationship between AI engagement and academic integrity adherence, as well as a very weak positive relationship between AI engagement and students’ values formation. However, both relationships were not statistically significant, suggesting that AI engagement does not meaningfully influence students’ ethical behavior. These findings imply that while AI plays an increasing role in academic activities, its impact on students' academic integrity and values remains limited. Institutional efforts should focus on reinforcing ethical AI literacy, strengthening policies on responsible AI use, and integrating structured guidance on ethical academic practices. Enhancing AI-integrated learning through faculty training and student awareness programs may help promote responsible AI engagement while maintaining academic integrity.

Keywords artificial intelligence (ai) higher education student engagement ethical values academic integrity
Authors 2

The team behind this paper

2 authors, 1 institution.

This paper Sultan Kudarat State University Sultan Kudarat State Un… 2 authors John Vencint Galera — corresponding author JG John Vencint Galera ✉ Joselyn Estrellan JE Joselyn Estrellan

Readership

1,380 reads over 17 months.

June 2025 October 2026

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This article is token #5655 of SciMatic Articles (ERC-1155): 1,000,000 tokens, minted once, never more. The chain also stores a fingerprint (SHA-256) of the article's record, so anyone can check that it has not been altered.

HolderWalletTokens
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John Vencint Galera 0xABDA2D…17F34B 450,000 (45%)
Joselyn Estrellan 0xcf79dC…4b2ce5 450,000 (45%)
Content hash 0x777475ad0fb31abd2e0453dee5345f7b0c65ec7b8a02bdf7f1761d22cc77cb2c

Bibliographic Information

John Vencint Galera, Joselyn Estrellan, (2025). Artificial Intelligence (AI) in the Classroom: Its Relevance on Students' Academic Integrity and Values Formation  , Psychology and Education: A Multidisciplinary Journal, 41(2): 296-315
Bibtex Citation
@article{john_vencint_galera2025pemj,
author = {John Vencint Galera and Joselyn Estrellan},
title = {Artificial Intelligence (AI) in the Classroom: Its Relevance on Students' Academic Integrity and Values Formation},
journal = {Psychology and Education: A Multidisciplinary Journal},
year = {2025},
volume = {41},
number = {2},
pages = {296-315},
doi = {10.70838/pemj.410209},
url = {https://scimatic.org/index.php/show_manuscript/5655}
}
APA Citation
Galera, J.V., Estrellan, J., (2025). Artificial Intelligence (AI) in the Classroom: Its Relevance on Students' Academic Integrity and Values Formation  . Psychology and Education: A Multidisciplinary Journal, 41(2), 296-315. https://doi.org/10.70838/pemj.410209

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