Effects of AI on the Trust and Confidence of Faculty Members in Submitted Academic Works by Students

This study examined faculty trust, student confidence, and the perceived impact of artificial intelligence (AI) tools in academic assessment within higher education institutions. Specifically, it explored faculty perceptions regarding authenticity, authorial verifiability, and evaluative certainty; students’ confidence in submitting academic work; and the influence of AI-related practices such as algorithmic surveillance and linguistic flattening. Using a quantitative descriptive-correlational research design, data were gathered from faculty members and students through survey questionnaires and analyzed using weighted mean, Pearson correlation, and ANOVA. Findings revealed that faculty members generally remained confident in evaluating student submissions, with a grand mean interpreted as “Confident/Agree,” although concerns regarding authenticity and authorship verification persisted. Students likewise demonstrated confidence in submitting academic work, particularly in academic self-efficacy, but also reported anxiety regarding AI detection systems and moderate trust in institutional assessment practices. The study further found that AI tools significantly influenced student behavior, particularly through linguistic flattening, where students intentionally simplified writing styles to avoid detection. Correlation analysis showed no significant relationship between the frequency of AI detector use and faculty trust in student submissions, while ANOVA results revealed no significant differences in perceptions based on years of teaching experience. Overall, the study concluded that AI has substantially reshaped academic assessment practices, faculty perceptions, and student writing behavior, emphasizing the need for balanced institutional policies, ethical AI governance, improved AI literacy, and assessment frameworks that promote both academic integrity and responsible AI use in higher education.

academic integrity, artificial intelligence, faculty trust, higher education, student submissions, quantitative research

1. Abdelaal, N., & Al Sawy, I. (2024). Perceptions, challenges, and prospects: University professors’ use of artificial intelligence in education. Australian Journal of Applied Linguistics, 7(1), 1309. https://doi.org/10.29140/ajal.v7n1.1309 [Google Scholar] [Crossref]

2. Acosta-Enriquez, B. G., Guzmán Valle, M. de los Á., Arbulú Ballesteros, M., Arbulú Castillo, J. C., Arbulu Perez Vargas, C. G., Torres, I. S., Silva León, P. M., & Saavedra Tirado, K. (2025). What is the influence of psychosocial factors on artificial intelligence appropriation in college students? BMC Psychology, 13(1), 7. https://doi.org/10.1186/s40359-024-02328-x [Google Scholar] [Crossref]

3. Albino, M. G., Albino, F. S., Asio, J. M. R., & Gadia, E. D. (2025). Influence of AI Anxiety on AI Self-Efficacy Among College Students. International Journal of Technology in Education, 8(2), 557–573. https://doi.org/10.46328/ijte.1109 [Google Scholar] [Crossref]

4. Antonelli, M., Vaughan-Mcgovern, M., & Barrett, M. (2025). “Don’t Force It”: An Action Research Study on AI Integration in Undergraduate and Graduate Teacher Education Coursework. Contemporary Issues in Technology and Teacher Education, 25(4), 762–780. [Google Scholar] [Crossref]

5. Arcilla, A. O., Espallardo, A. K. V., Gomez, C. A. J., Viado, E. M. P., Ladion, V. J. T., Naanep, R. A. T., Pascual, A. R. L., Artificio, E. B., & Tubola, O. D. (2023). Ethics in AI Governance: Comparative Analysis, Implication, and Policy Recommendations for the Philippines. 2023 27th International Computer Science and Engineering Conference (ICSEC), 319–326. https://doi.org/10.1109/ICSEC59635.2023.10329756 [Google Scholar] [Crossref]

6. Arshavskaya, E. (2026). Exploring the Use of Generative Artificial Intelligence as a Tool to Mediate the Emotional Nature of Feedback in Writing Instruction. TESOL Journal, 17(1). https://doi.org/10.1002/tesj.70109 [Google Scholar] [Crossref]

7. Asio, J. M. R. (2024). AI LITERACY, SELF-EFFICACY, AND SELF-COMPETENCE AMONG COLLEGE STUDENTS: VARIANCES AND INTERRELATIONSHIPS AMONG VARIABLES. Malaysian Online Journal of Education Services. http://mojes.um.edu.my/EISSN:2289-3024 [Google Scholar] [Crossref]

8. Balasa, K. A., Hiedie Dumagay, A., Alieto, E. O., & González Vallejo, R. (2025). Gender and Age Dynamics in Future Educators’ Attitudes toward AI Integration in Education: A Sample from State-managed Universities in Zamboanga Peninsula, Philippines. Seminars in Medical Writing and Education, 4, 668. https://doi.org/10.56294/mw2025668 [Google Scholar] [Crossref]

9. Borbon, N. M. D., Hernandez, G. R. P., Villamayor, P. D., Silva, C. L., & Pastrana, J. Q. (2025). Academic Integrity in the Age of AI: Exploring on the Educational Experiences for Students and Teachers in a Private University in the Philippines. In INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING (ICITME) 2023. www.istes.orghttps://orcid.org/0000-0002-4834-6313https://orcid.org/0009-0002-9776-0630https://orcid.org/0009-0007-6012-6990https://orcid.org/0009-0001-8496-4303www.istes.org [Google Scholar] [Crossref]

10. Cao, X., Lin, Y.-J., Zhang, J.-H., Tang, Y.-P., Zhang, M.-P., & Gao, H.-Y. (2025). Students’ perceptions about the opportunities and challenges of ChatGPT in higher education: a cross-sectional survey based in China. Education and Information Technologies, 30(9), 12345–12364. https://doi.org/10.1007/s10639-025-13339-5 [Google Scholar] [Crossref]

11. Capinding, A. T. (2026). Embracing AI in Academia: Faculty Researchers’ Awareness, Acceptance, and Utilization for Scholarly Innovation. International Journal of Information and Education Technology, 16(4), 1020–1033. https://doi.org/10.18178/ijiet.2026.16.4.2572 [Google Scholar] [Crossref]

12. Capinding, A. T., & Dumayas, F. T. (2024). TRANSFORMATIVE PEDAGOGY IN THE DIGITAL AGE: UNRAVELING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HIGHER EDUCATION STUDENTS. Problems of Education in 21st Century, 82, 630–657. [Google Scholar] [Crossref]

13. Chavez, J. V., Cuilan, J. T., Mannan, S. S., Ibrahim, N. U., Carolino, A. A., Radjuni, A., Albani, S. E., & Garil, B. A. (2024). Discourse Analysis on the Ethical Dilemmas on the Use of AI in Academic Settings from ICT, Science, and Language Instructors. Forum for Linguistic Studies, 6(5), 349–363. https://doi.org/10.30564/fls.v6i5.6765 [Google Scholar] [Crossref]

14. Chen, X. (2025). The Impact of Artificial Intelligence Tools on College Students’ Academic Self-efficacy. Transactions on Materials, Biotechnology and Life Sciences, 8, 142–148. https://doi.org/10.62051/4sgyh834 [Google Scholar] [Crossref]

15. Choiriyah, S., Nugroho, A., Ramadhan, S., Pembangunan, H. R. P., & Muharom, F. (2025). Artificial intelligence-driven learning assessment in faculties of education: An exploratory study. Munaddhomah: Jurnal Manajemen Pendidikan Islam, 6(3), 482–495. https://doi.org/10.31538/munaddhomah.v6i3.1937 [Google Scholar] [Crossref]

16. Chua, L., Aquino, F. I., Ligot, D. V., Santiago, S. A., Ato, N. B., Bawagan, P., & Cuevas, E. (2023). Public Call on Ethics, Safety, and Governance of AI in the Philippines. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4461284 [Google Scholar] [Crossref]

17. Clorion, F. D. D., Alieto, E. O., Fuentes, J. O., Suicano, D. J. B., Natividad, E.-R., Miñoza, M. V., Pil, A. O., Aidil-Karanain, F., & Vallejo, R. G. (2024). Artificial Intelligence in Academic Writing in Higher Education in a Country of Emerging Economy: An Analysis of Knowledge, Perceived Influence, Extent of Use and Perception. In General Aspects of Applying Generative AI in Higher Education (pp. 301–326). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-65691-0_16 [Google Scholar] [Crossref]

18. Copeland, B. J. (2026). Artificial Intelligence. In B. J. Copeland (Ed.), Encyclopedia Britannica. https://www.britannica.com/technology/artificial-intelligence. [Google Scholar] [Crossref]

19. Delfin, J. O., Guerrero, R. M., Maghamil, M. C., & Toylo, M. D. (2025). ChatGPT and Writing Skills: The College of Education Experience. Journal of English Language Teaching and Applied Linguistics, 7(3), 129–142. https://doi.org/10.32996/jeltal.2025.7.3.13 [Google Scholar] [Crossref]

20. Désiron, J. C., & Petko, D. (2023). Academic dishonesty when doing homework: How digital technologies are put to bad use in secondary schools. Education and Information Technologies, 28(2), 1251–1271. https://doi.org/10.1007/s10639-022-11225-y [Google Scholar] [Crossref]

21. Diamante, R. E. J., Martin, A. B., Berry, E. B., Chavez, J. V., Dela Calzada, K. P., & Dimzon, S. D. (2025). Developing trust and confidence in the delivery of Ai-Oriented teaching strategies among Non-ICT expert teachers. Environment and Social Psychology, 10(8). https://doi.org/10.59429/esp.v10i8.3851 [Google Scholar] [Crossref]

22. Domingo, M. A. (2025). Investigating the influence of AI-driven tools in ESL students’ experience of AI-induced impostor syndrome and academic confidence. Asian Journal of English Language Studies, 13(1), 98–125. https://doi.org/10.59960/13.1.a5 [Google Scholar] [Crossref]

23. Edmund, D. (2025). Faculty and Administrators’ Perspectives of Generative Artificial Intelligence at an Online Higher Education Institution. In Walden University ProQuest Dissertations & Theses. https://www.proquest.com/openview/f28aa3329d5f690f6dbec3431a7412ef/1 [Google Scholar] [Crossref]

24. Elrefaei, E., El-Deep, O. S., Abd El-Khalik, S. R., Eltokhy, A. K., Okasha, A. H., Elsheikh, M., Shamma, S., Ibrahim, R. R., & Aboraya, A. A. (2025). Exploring the Effect of Using Artificial Intelligence Tools on Preclinical Medical Students’ Workload and Well-being: A Cross-Sectional Study. Journal of Health Professions Education and Innovation, 2(1), 11–21. https://doi.org/10.21608/jhpei.2025.347543.1040 [Google Scholar] [Crossref]

25. Espartinez, A. S. (2025). Between Innovation and Tradition: A Narrative Inquiry of Students’ and Teachers’ Experiences with ChatGPT in Philippine Higher Education. Social Sciences, 14(6), 359. https://doi.org/10.3390/socsci14060359 [Google Scholar] [Crossref]

26. Fošner, A. (2024). University Students’ Attitudes and Perceptions towards AI Tools: Implications for Sustainable Educational Practices. Sustainability, 16(19), 8668. https://doi.org/10.3390/su16198668 [Google Scholar] [Crossref]

27. Giray, L., De Silos, P. Y., Adornado, A., Buelo, R. J. V., Galas, E., Reyes-Chua, E., Santiago, C., & Ulanday, Ma. L. (2024). Use and Impact of Artificial Intelligence in Philippine Higher Education: Reflections from Instructors and Administrators. Internet Reference Services Quarterly, 28(3), 315–338. https://doi.org/10.1080/10875301.2024.2352746 [Google Scholar] [Crossref]

28. Giray, L., Jacob, J., Encanto, V., & Mansilungan, C. J. (2026). Cheating Writing with Generative AI: Exploring Student Motivations Using the Theory of Planned Behavior. Journal of Academic Ethics, 24(1), 19. https://doi.org/10.1007/s10805-025-09695-z [Google Scholar] [Crossref]

29. Giray, L., Nemeño, J., & Edem, J. (2025). Self-directed Learning Using ChatGPT Positively Affects Student Engagement. International Journal of Technology in Education, 8(3), 667–680. https://doi.org/10.46328/ijte.1162 [Google Scholar] [Crossref]

30. Guan, H., Chen, Q., Han, S., & Zhang, B. (2021). The Influence of “Artificial Intelligence + Human–Computer Interaction” on Teachers’ Psychological Changes in Academic Management in Colleges. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.730345 [Google Scholar] [Crossref]

31. Herath, D. B., Ode, E., & Herath, G. B. (2025a). Can AI replace humans? Comparing the capabilities of AI tools and human performance in a business management education scenario. British Educational Research Journal, 51(3), 1073–1096. https://doi.org/10.1002/berj.4111 [Google Scholar] [Crossref]

32. Herath, D. B., Ode, E., & Herath, G. B. (2025b). Can AI replace humans? Comparing the capabilities of AI tools and human performance in a business management education scenario. British Educational Research Journal, 51(3), 1073–1096. https://doi.org/10.1002/berj.4111 [Google Scholar] [Crossref]

33. Hortelano, J. C., & Salamia, S. (2025). Perceptions of Artificial Intelligence among Philippine Undergraduate Students: Examining Instrument Construct and Demographic Influences on Knowledge and Beliefs. Journal of Teaching and Learning, 19(4). https://doi.org/10.22329/jtl.v19i4.9790 [Google Scholar] [Crossref]

34. Jala, J. V. M., Nacalaban, E. A., Sandinao, N. R. A., Origines, R. B. D., Ventayen, R. J. M., & Bation, N. D. (2026). The Influence of Artificial Intelligence on Higher Education in the Philippines. In ICT Systems and Sustainability (pp. 262–276). https://doi.org/10.1007/978-3-032-06671-8_27 [Google Scholar] [Crossref]

35. Jinowat, N., Wiboolyasarin, K., Chomchuen, F., & Wiboolyasarin, W. (2026). Trust, resistance, and transformation: A Q‐methodological study of teachers’ perspectives on AI‐generated feedback in second language writing. Foreign Language Annals, 59(1), 34–62. https://doi.org/10.1111/flan.70042 [Google Scholar] [Crossref]

36. Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274 [Google Scholar] [Crossref]

37. Khlaif, Z. N., Ayyoub, A., Hamamra, B., Bensalem, E., Mitwally, M. A. A., Ayyoub, A., Hattab, M. K., & Shadid, F. (2024). University Teachers’ Views on the Adoption and Integration of Generative AI Tools for Student Assessment in Higher Education. Education Sciences, 14(10), 1090. https://doi.org/10.3390/educsci14101090 [Google Scholar] [Crossref]

38. Kotmungkun, S., Chompurach, W., & Thaksanan, P. (2024). OpenAI ChatGPT vs Google Gemini: A study of AI chatbots’ writing quality evaluation and plagiarism checking. English Language Teaching Educational Journal, 7(2), 90–108. https://doi.org/10.12928/eltej.v7i2.11572 [Google Scholar] [Crossref]

39. Lee, D., Arnold, M., Srivastava, A., Plastow, K., Strelan, P., Ploeckl, F., Lekkas, D., & Palmer, E. (2024). The impact of generative AI on higher education learning and teaching: A study of educators’ perspectives. Computers and Education: Artificial Intelligence, 6, 100221. https://doi.org/10.1016/j.caeai.2024.100221 [Google Scholar] [Crossref]

40. Llausas, S. M., Ruiz, E., Ayucan, S. M., & Evardo Jr., O. J. (2024). A Systematic Literature Review on the Use of Grammarly in Improving the Writing Skills of ESL/EFL Students. International Journal of Multidisciplinary: Applied Business and Education Research, 5(9), 3507–3516. https://doi.org/10.11594/ijmaber.05.09.10 [Google Scholar] [Crossref]

41. Luo, W., & Tang, T. (2026). A Study on Chinese College Students’ Intention to Use Toward AI Chatbots: Integrating Innovation Diffusion Theory and Technology Acceptance Model. European Journal of Education, 61(1). https://doi.org/10.1111/ejed.70377 [Google Scholar] [Crossref]

42. Mallillin, L. L. D., Enriquez, B. B., & Yee, C. C. (2025). ARTIFICIAL INTELLIGENCE (AI) IN THE HIGHER EDUCATION INSTITUTIONS (HEIS) PRACTICES: A TRANSFORMATION TRENDS IN TEACHING AND LEARNING. European Journal of Education Studies, 12(2). https://doi.org/10.46827/ejes.v12i2.5811 [Google Scholar] [Crossref]

43. Marzuki, Widiati, U., Rusdin, D., Darwin, & Indrawati, I. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2). https://doi.org/10.1080/2331186X.2023.2236469 [Google Scholar] [Crossref]

44. Nassar, H. M. (2025). Comparing the Quality of AI-generated and Instructor Feedback in a University Writing Program . AUC Knowledge Fountain. [Google Scholar] [Crossref]

45. National Aeronautics and Space Administration. (2024). What is Artificial Intelligence? National Aeronautics and Space Administration. [Google Scholar] [Crossref]

46. Ogwueleka, F. N. (2025). Plagiarism Detection in the Age of Artificial Intelligence: Current Technologies and Future Directions (Vol. 3). AI and ethics, academic integrity and the future of quality assurance in higher education. https://www.researchgate.net/profile/Mamman-Muazu-2/publication/384969429_AI_and_EthicsAcademic_integrity_and_the_future_of_Quality_Assurance_in_Higher_Education_Hand_Book_on_AI_and_Quality_Higher_Education_in_Honour_of_Prof_Abubakar_Adamu_Rasheed_Volume_3/links/67655c89e74ca64e1f20daff/AI-and-Ethics-Academic-integrity-and-the-future-of-Quality-Assurance-in-Higher-Education-Hand-Book-on-AI-and-Quality-Higher-Education-in-Honour-of-Prof-Abubakar-Adamu-Rasheed-Volume-3.pdf#page=133 [Google Scholar] [Crossref]

47. Oliviera, K. K. de S., & Souza, R. (2022). Digital Transformation towards Education 4.0. Informatics in Education - An International Journal, 21(2), 283–309. https://www.ceeol.com/search/article-detail?id=1045455 [Google Scholar] [Crossref]

48. Opele, J. K., Alade, T. T., & Ajifowoke, R. O. (2024). THE IMPACT OF ARTIFICIAL INTELLIGENCE (AI) ON TEACHING AND RESEARCH EXPERIENCE OF UNIVERSITY LECTURERS: A REVIEW. Journal of Educational Research and Policy Studies, 17(1), 24–35. [Google Scholar] [Crossref]

49. Otermans, P. C. J., Baines, S., Livingstone, C., & Aditya, D. (2026). <b>Talking Technology Tutors: The Perceptions of Conversational AI in Education through the Eyes of Parents and Teachers Worldwide </b> International Journal of Technology in Education and Science, 10(1), 1–16. https://doi.org/10.46328/ijtes.5437 [Google Scholar] [Crossref]

50. Parker, L. (2024). AI in Academia: Assessing ChatGPT’s Integration in College Classrooms. Proceedings of the 2024 AERA Annual Meeting. https://doi.org/10.3102/2103302 [Google Scholar] [Crossref]

51. Parra G., L., & Calero S., X. (2019). Automated Writing Evaluation Tools in the Improvement of the Writing Skill. International Journal of Instruction, 12(2), 209–226. https://doi.org/10.29333/iji.2019.12214a [Google Scholar] [Crossref]

52. Plattner, M., Kosec, I., & Pejić Bach, M. (2024). The Impact of AI Tools on Education: Preliminary Research of HEIs’ Teachers’ Perspectives. ENTRENOVA - ENTerprise REsearch InNOVAtion, 10(1), 1–11. https://doi.org/10.54820/entrenova-2024-0001 [Google Scholar] [Crossref]

53. Robert, J. (2026, January). The Impact of AI on Work in Higher Education. Research Report. Boulder, CO: EDUCAUSE. [Google Scholar] [Crossref]

54. Shahid, M. K., Zia, T., Bangfan, L., Iqbal, Z., & Ahmad, F. (2024). Exploring the relationship of psychological factors and adoption readiness in determining university teachers’ attitude on AI-based assessment systems. The International Journal of Management Education, 22(2), 100967. https://doi.org/10.1016/j.ijme.2024.100967 [Google Scholar] [Crossref]

55. Shrivastava, S. K., & Shrivastava, C. (2022). The Impact of Digitalization in Higher Educational Institutions. International Journal of Soft Computing and Engineering, 11(2), 7–11. https://doi.org/10.35940/ijsce.B3536.0111222 [Google Scholar] [Crossref]

56. Sultan, Y., Hussain, S. A., Anwar, S., & Faiz, M. U. (2025). Psychological Factors Influencing the Acceptance of AI Tools among Teachers and Students in inclusive Classroom. Review of Applied Management and Social Sciences, 8(2), 897–913. https://doi.org/10.47067/ramss.v8i2.524 [Google Scholar] [Crossref]

57. Sy, C. Y., Maceda, L. L., & Abisado, M. B. (2024). AI-Driven Analysis: Optimizing Tertiary Education Policy through Machine Learning Insights. International Journal of Advances in Intelligent Informatics, 10(2), 296. https://doi.org/10.26555/ijain.v10i2.1525 [Google Scholar] [Crossref]

58. Tang, K. H. D. (2024). Implications of Artificial Intelligence for Teaching and Learning. Acta Pedagogia Asiana, 3(2), 65–79. https://doi.org/10.53623/apga.v3i2.404 [Google Scholar] [Crossref]

59. Toquero, C. M. (2026). Trends, Trajectories and Tomorrows of AI Regulations in Philippine Higher Educational Institutions. Higher Education Quarterly, 80(1). https://doi.org/10.1111/hequ.70090 [Google Scholar] [Crossref]

60. Vieriu, A. M., & Petrea, G. (2025). The Impact of Artificial Intelligence (AI) on Students’ Academic Development. Education Sciences 2025, Vol. 15, Page 343, 15(3), 343. https://doi.org/10.3390/EDUCSCI15030343 [Google Scholar] [Crossref]

61. Vinay, S. B. (2023). Application Of Artificial Intelligence (Ai) In School Teaching And Learning Process- Review And Analysis. International Journal Of Information Technology And Management Information Systems (Ijitmis), 14(1), 1–5. [Google Scholar] [Crossref]

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