⚠ Official Notice: www.ijisrt.com is the official website of the International Journal of Innovative Science and Research Technology (IJISRT) Journal for research paper submission and publication. Please beware of fake or duplicate websites using the IJISRT name.



Awareness, Utilization, and Satisfaction of AI-Services Offered by Tagaytay Higher Education Institutions


Authors : Raphael Emmanuel H. Sabangan; Ma. Lindie D. Masalinto

Volume/Issue : Volume 11 - 2026, Issue 5 - May


Google Scholar : https://tinyurl.com/5aansw2s

Scribd : https://tinyurl.com/mr6e8sft

DOI : https://doi.org/10.38124/ijisrt/26May746

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : The rapid expansion of Artificial Intelligence (AI) technologies has transformed the higher education landscape, reshaping how teachers access information, engage with learning tools, and deliver instructional activities. Over the past few years, the integration of AI-enabled systems such as generative language models, intelligent tutoring systems, and automated feedback tools has become increasingly essential in improving teaching efficiency and supporting student learning outcomes. However, the combined influence of teachers’ awareness, utilization, and satisfaction with AI services in specific local higher education contexts remains underexplored. This study addressed this gap by examining the relationships among awareness, utilization, and satisfaction of AI services among 75 teachers in Higher Education Institutions (HEIs) in Tagaytay City for the academic year 2025–2026. The sample size of 63 was determined using the Raosoft Calculator and selected through simple random sampling (Rahi, 2020). Using a descriptive-correlational research design, data were gathered through survey questionnaires. Findings revealed very high levels of awareness, utilization, and satisfaction across all indicators of AI services. Correlational analysis showed limited but significant relationships between awareness and utilization, particularly in academic and learning support tools with integration in administrative processes (r = .252, p < .05) and ethical use and data privacy policies with faculty and staff adoption rates (r = .335, p < .05). However, no significant relationships were found between awareness and satisfaction, and between utilization and satisfaction, except for a few low correlations such as research and data analytics support with efficiency in task completion (r = -0.290, p < .05) and usage in student support services with efficiency in task completion (r = .262, p < .05). These results indicate that while awareness contributes to increased utilization in selected areas, it does not necessarily translate to higher satisfaction. Hence, an action plan is proposed to further enhance awareness, utilization, and satisfaction of AI services in HEIs in Tagaytay City.

Keywords : Artificial Intelligence, Awareness, Utilization, Satisfaction, Higher Education Institutions, Descriptive-Correlational Research.

References :

  1. Abad, R. J., Santos, K. M., & Reyes, M. L. (2025). The evolution of student services: Implementing AI-driven mentoring and guidance systems in Philippine higher education. Philippine Journal of Educational Technology, 18(2), 45–63.
  2. Abella-García, V.  Grande-de-Prado, M., García-Martín, S., & Baelo-Álvarez, R., (2024). Artificial Intelligence: A Review of Educational Literature in Spain. In International Conference on New Media Pedagogy (pp. 413-424).               Springer, Cham.
  3. Abolnejadian, M., Alipour, S., & Taeb, K. (2024, May). Leveraging chatgpt for adaptive learning through personalized prompt-based instruction: A cs1        education case study. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 1-8).
  4. Abrenilla, J. M., Santos, R., & Reyes, M. L. (2023). Digital divide and AI: Assessing            inclusive technical support in Philippine state universities. Philippine Social Science Journal, 6(3), 45–59.
  5. Abumalloh, R. A., & Nilashi, M. (2025). Agentic Artificial Intelligence: Autonomy, Decision-Making, and Responsibility in the Age of Intelligent Systems. Journal of Soft Computing and Decision Support Systems, 12(2), 14-20.
  6. Achhibat, A. (2025). The impact of artificial intelligence on student satisfaction in higher education: Opportunities and ethical challenges. International Journal of Information and Education Technology, 15(6), 1182–1192. https://doi.org/10.18178/ijiet.2025.15.6.2105
  7. Alejandro, A., Villanueva, M. C., Colasito, D. M., & Tuante, M. C. (2025). The emergence of service robots at selected quick service restaurants: Impact on customer experience and satisfaction. Journal of Interdisciplinary Perspectives, 3. https://doi.org/10.69569/jip.2024.0562
  8. AI Ethical Guidelines, (2025)On ethical AI principles. Journal of Open, Distance, and Digital Education.
  9. Alqawasmi, A., Al-Khayyat, R., & Mansour, M. (2025). Measuring AI awareness as a predictor for professional readiness: A study of undergraduate students. International Journal of Educational Technology in Higher Education, 22(1), 12–34.
  10. Aqle, A., Al-Thani, D., & Jaoua, A. (2022). Can search result summaries enhance the web search efficiency and experiences of the visually impaired users?. Universal Access in the Information Society, 21(1), 171-192.
  11. Al-Maroof, R. S., Salloum, S. A., & Shaalan, K. (2024). The adoption trajectory of artificial intelligence in higher education: From search engines to real-time instructional aids. Journal of Educational Technology & Online Learning, 7(2), 45–62. https://doi.org/10.31681/jetol.1352481
  12. An, Z., Zhang, L., & Ng, D. T. K. (2025). Student perceptions of AI in higher education: A systematic review of benefits and challenges. Journal of Educational Computing Research, 63(1), 45–68.
  13. Anwar, S., et al. (2025). Assessing students’ satisfaction with AI tools in higher education. International Journal of Research and Innovation in Social Science (IJRISS), 9(10), 267–278. https://doi.org/10.47772/IJRISS.2025.910022
  14. Arrieta, M. G., Benson, L., & Tenedero, R. P. (2022). Digital intelligence and pedagogical shift: Assessing AI competency among higher education faculty in Southeast Asian urban centers. Journal of Educational Computing Research, 60(4), 892–915.https://doi.org/10.1177/07356331211052643
  15. Asirit, L. C., & Hua, J. (2023). Readiness and utilization of artificial intelligence in Philippine higher education: A status report. International Journal of Information and Education Technology, 13(9), 1342–1351.
  16. Aure, P. A., & Cuenca, J. M. (2024). Adoption of AI tools and their impact on the academic research output of business school students. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2025.2556892
  17. Azevedo, J., & Marques, B. (2025). Efficiency-seeking behavior and AI adoption in university administration. Journal of Higher Education Policy and Management, 47(1), 112–129
  18. Baah-Peprah, P., et al. (2025). Behavioral patterns and autonomous motivation in the utilization of AI services among university students. International Journal of      Educational Research, 114, 102118. https://doi.org/10.1016/j.ijer.2025.102118
  19. Babanoğlu, M. P., Öztürk Karataş, T., & Dündar, E. (2025). Ethical considerations of AI through a socio-technical lens: Insights from ELT context as a higher education system. Cogent Education, 12(1). https://doi.org/10.1080/2331186X.2025.2488546
  20. Bandari, V. (2021). A comprehensive review of AI applications in Automated Container Orchestration, Predictive maintenance, security and compliance, resourcee optimization, and continuous Deployment and Testing. International Journal of Intelligent Automation and Computing, 4(1), 1-19.
  21. Banihashem, S. K., Noroozi, O., Biemans, H., & Molenaar, I. (2025). Artificial intelligence in higher education: Impact depends on support, pedagogy, human agency, and purpose. Interactive Learning Environments, 33(2), 210–225. https://doi.org/10.1080/10494820.2023.2214567
  22. Barajas, J. R., Sangil, M. J., Aspra, N., Gealone, P. J., Lucero, A., Ramos, M., ... & Oropesa, R. (2024, May). Exploratory data analysis of artificial intelligence integration in Philippine engineering programs offered by state universities and colleges: A preliminary assessment. In 2024 Systems and Information Engineering Design Symposium (SIEDS) (pp. 360-365). IEEE.
  23. Basu, A. (2025). Inclusive AI: Bridging the gap between intelligent systems and human-centered design. International Journal of Human-Computer Interaction, 41(2), 112–128. https://doi.org/10.1080/ai-hci.2025.0456
  24. Bautista, M. S., & Rivera, K. J. (2025). Just-in-time support: Evaluating the impact of responsive technical assistance on AI integration in Philippine higher education. Journal of Educational Support Systems, 19(2), 76–94.
  25. Bernardo, A. B., et al. (2023). Generational shifts in AI adoption: A study of Filipino educators’ instructional workflows. Philippine Journal of Science, 152(S1), 45–58.
  26. Bhattacherjee, S., Shah, D., & Pal, D. (2024, April). Deploying Artificial Intelligence in Design Verification to Accelerate IP/SoC Sign-off with Zero Escape. In 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS) (pp. 477-481). IEEE.
  27. Bhargava, D. (2025). People-first inclusive design: The role of generative AI in adaptive user interfaces. Global Journal of Digital Accessibility, 9(1), 45–62.
  28. Bhat, J. (2026). Automating higher education administrative processes with AI-powered workflows: An evaluation of operational transparency and efficiency. International Journal of Emerging Technology and Computer Science in IT (IJETCSIT), 4(4), 147–157.
  29. Brynjolfsson, E., Li, D., & Raymond, L. (2023). Generative AI at work. arXiv. https://doi.org/10.48550/arxiv.2304.11771`
  30. Bokingkito, P. B., et al. (2025). AI integration in IT education: Challenges, opportunities, and future directions. ERIC. https://files.eric.ed.gov/fulltext/EJ1487116.pdf
  31. Bond, M., et al. (2024). Institutional scaffolding and the adoption of AI in higher education: A systematic review. International Journal of Educational Technology in Higher Education, 21(4), 1–25.
  32. Bora, B. Y., & Kölemen, C. Ş. (2025). Artificial intelligence in higher education: A state-of-the-art overview of pedagogical integrity, artificial intelligence literacy, and policy integration. Education Sciences. https://doi.org/10.3390/educsci15030343
  33. Boubker, O. (2024). Factors influencing the adoption of artificial intelligence in higher education: An empirical study. Education and Information Technologies, 29(4), 1123–1145.
  34. Bouzar, A., Idrissi, K. E., & Ghourdou, T. (2024). Use of artificial intelligence tools by doctoral students: A mixed-methods explanatory-sequential investigation. Journal of Further and Higher Education. https://doi.org/10.1080/0309877X.2025.2515135
  35. Bundy, T., & Wright, L. (2025). The continuous engagement loop: How generative AI reshapes student participation in higher education. Journal of Interactive Learning Research, 36(1), 88–104.
  36. Center for Democracy and Technology. (2025). AI-powered instruction and the future of schools: A report on teacher and student engagement. https://cdt.org/insights/ai-education-report-2025
  37. Chan, B. S., & Sung, M. Y. (2025). Integrating generative artificial intelligence in education: Enhancing multimodal literacy and student-centered pedagogy. Journal of Digital Learning in Teacher Education, 41(2), 102–118. https://doi.org/10.1080/21532974.2025.2445891
  38. Chaudhary, S., Khalil, A., Attri, R., & Ractham, P. (2025). Deploying explainable AI in entrepreneurial organizations: Role of the human-AI interface. Technological Forecasting and Social Change, 220, 124324.
  39. Chen, X., & Liao, S. (2023). The visibility of artificial intelligence: A study on the adoption of learning management systems and integrity tools in modern universities. International Journal of Educational Technology in Higher Education, 20(12), 45–62. https://doi.org/10.1186/s41239-023-00389-w
  40. Chen, L., & Yamashita, T. (2026). The invisible partner: Longitudinal trends in user satisfaction and reliance on generative AI in Asian academia. International Journal of Human-Computer Interaction, 42(1), 88–105. https://doi.org/10.1080/10447318.2025.2410982
  41. Chiu, T. K. (2024). Future research recommendations for transforming higher education with generative AI. Computers and education: Artificial intelligence, 6, 100197.
  42. Chiu, T. K., et al. (2025). The role of AI in predictive student support: A framework for academic success. Journal of Educational Computing Research, 62(1), 15–34
  43. Co, S. J. (2025). Artificial intelligence in Philippine education: A narrative review of applications, perceptions, and challenges. International Research Journal of Science, Technology, Education, and Management, 5(2), 25–38.
  44. Collado Pérez I. J., Freire-Morán, M., Calvo-Morata, A., Pérez-Colado, V. M., & Fernández-Manjón, B. (2024, May). AI asyet another tool in undergraduate student projects: Preliminary results. In 2024 IEEE Global Engineering Education Conference (EDUCON) (pp. 1-7). IEEE.
  45. Cruz M., & Acoba-Rivera, G. (2025). Challenges and Opportunities in Integrating Artificial Intelligence into Early Childhood Education Pedagogy: Insights from Isabela State University. International Journal on Culture, History, and Religion, 7(SI3), 546-558.
  46. Custodio, R. G., & Belen, M. (2024). Automating the SUC: Staff adoption of AI in Philippine state universities. Journal of Public Administration and Governance (Philippines), 14(2), 77–92.
  47. Dela Rosa, J., et al. (2024). Promoting AI responsibility: Strategies for maintaining academic integrity in Philippine higher education.
  48. De La Cruz, R., & Pineda, M. (2024). Artificial intelligence in the Philippine educational system: Perspectives on administrative efficiency. Philippine Journal of Public Administration, 68(1), 45–60.
  49. Delos Santos, J. M. (2025). The productivity surplus: Assessing the impact of AI automation on faculty workload in Philippine universities. Journal of Educational Administration and Policy, 22(1), 45–62.
  50. Delfino, R. P. (2025). Artificial intelligence integration in rural Philippine higher education: Perspectives, challenges, and ethical considerations. International   Journal of Educational Research and Innovation (IJERI), (15), 112–125.
  51. Diaz, J. (2025). Evaluating college students’ awareness and utilization of natural language generation AI in private higher education institutions. GVCFI Research Journal, 1(1), 1–23.
  52. Digital Education Council. (2025). Global AI student survey 2024–2025: Usage, perceptions, and the future of learning. https://www.digitaleducationcouncil.com/reports
  53. Dizon, R. C., Malanyaon, O. S., & Ganal, N. J. (2025). The architecture of digital maturity: Evaluating cross-functional AI infrastructure in Philippine provincial universities. Asia-Pacific Education Researcher, 34(2), 112–130. https://doi.org/10.1007/s40299-024-00815-x
  54. Djuradj, B. (2025). Maximum electric field estimation in the vicinity of 5G base stations before their start-up. Vojnotehnički glasnik, 71(2), 345-361.
  55. EDUCAUSE. (2025). 2025 EDUCAUSE Horizon report: Teaching and learning edition. EDUCAUSE Publications.
  56. El-Haj, M., Smith, R., & Lee, T. (2024). Institutional frameworks for AI engagement in higher education: A qualitative approach. Educational Research Review, 29, 115–130.
  57. Engageli (2025) The Science of Active vs. Passive Learning in Virtual Classrooms.
  58. Estrellado, C. J. P., & Miranda, J. C. (2023). Artificial intelligence in the Philippine educational context: Circumspection and future inquiries. International Journal of Scientific and Research Publications, 13(5), 16–24. https://doi.org/10.29322/IJSRP.13.05.2023.p13712
  59. Farayola, T. F., et al. (2024). The role of AI in institutional data governance and cybersecurity in higher education. Global Journal of Engineering and Technology Advances, 18(2),
  60. Faustino, P. R. (2024). The humanized algorithm: Assessing total quality satisfaction           of AI services in Philippine provincial universities. University of the Philippines Press
  61. Florencio, R., & Santos, M. (2024). Embedding AI literacy in the curriculum: A framework for academic integrity in Philippine HEIs.
  62. Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., … Vayena, E. (2021). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations.Minds and Machines, 31(4), 689–707.
  63. Ganal, N. J. (2024). The accessibility mandate: Evaluating the psychological and technical drivers of digital adoption in provincial higher education. University of the Philippines Press.
  64. Garcia B.,Chen L. (2024) Analytical and EZmock covariance validation for the DESI 2024 results. Journal of Cosmology and Astroparticle Physics, 2025(04), 055.
  65. Goli-Cruz, M. J. G. (2024). Perceptions of higher education faculty regarding the use of Chat Generative Pre-Trained Transformer (ChatGPT) in education. International Journal on Open and Distance e-Learning (IJODeL), 9(2), 73
  66. Gong, Y., & Kim, J. (2024). The expectation gap: How advanced awareness of AI capabilities influences user satisfaction in data-intensive research. International Journal of Information Management Data Insights, 4(2), 100–118. https://doi.org/10.1016/j.jjimei.2024.100245
  67. Hassan, A., Lee, S. Y., & Zain, M. (2024). Beyond the software: The role of proactive technical support in the sustained adoption of AI tools in Asian universities. Asian Journal of Technology in Education, 15(3), 201–218. https://doi.org/10.1016/j.ajte.2024.100342
  68. Holmes, W., & Tuomi, I. (2024). Artificial intelligence in education: Foundations, design, and ethical governance. Routledge.
  69. Horn, S., Nara, I., & Hun, H. (2026). Artificial intelligence for improving research productivity and knowledge creation in higher education institutions: A nano review. Journal of Agriculture and Environment, 3(2), 50–52.
  70. Hsu, P. S., & Chen, Y. H. (2026). The ethics gateway: How awareness of data privacy policies predicts AI adoption among university faculty. Journal of Business Ethics and Education, 23(1), 45–63.
  71. Humble, N., & Mozelius, P. (2024). AI tutor-bots in higher education: Expanding the reach of student guidance. Education and Information Technologies, 29, 445–462.
  72. Hyland, K. (2026). Digital signatures: The impact of AI on academic writing and disciplinary discourse. Cambridge University Press.
  73. Igbokwe, I. C. (2023). Application of artificial intelligence (AI) in educational management. International Journal of Scientific and Research Publications, 13(3), 300–307. http://dx.doi.org/10.29322/IJSRP.13.03.2023.p13536
  74. Jindal, R., & Borah, M. D. (2025). Educational analytics and predictive modeling: Enhancing student success initiatives. Journal of Educational Technology Systems
  75. Johnson, A., Faber L.,& Harris, P. (2024). The importance of institutional support for student satisfaction with AI services. TechTrends, 68(4), 456–467.
  76. Johnson, S., & Lee, M. (2023). Analyzing the factors influencing AI awareness among university students. Educational Technology Research and Development, 71(1), 31–50.
  77. Kasneci, E., et al. (2023). ChatGPT for good? On the opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
  78. Khosravi, H., Sadiq, S., & Gasevic, D. (2026). Scaffolding motivation: The role of AI-mediated platforms in sustained student engagement. Computers & Education: Artificial Intelligence, 7, 100–115. https://doi.org/10.1016/j.caeai.2025.100115
  79. Kim, S., Chen, J., Cheng, T., Gindulyte, A., He, J., He, S., ... & Bolton, E. E. (2023). PubChem 2023 update. Nucleic acids research, 51(D1), D1373-D1380.
  80. Klímová, B., & Pikhart, M. (2025). Exploring the effects of artificial intelligence on             student and academic well-being in higher education: A mini review. Frontiers in Psychology, 16, Article 1498132. https://doi.org/10.3389/fpsyg.2025.1498132
  81. Kuzilwa, M. S., & Musabila, A. (2024). Electronic Resources Adoption by Academic Staff in Public Universities in Tanzania Using the Technology Acceptance Model. The African Review, 52(1-2), 217-230.
  82. Lagon, J. M., & Valenzuela, E. R. (2025). AI-integrated portals: Enhancing student affairs and advising in Metro Manila HEIs. Philippine Journal of Educational Technology, 10(2), 22–39.
  83. Aid.Lee, K., et al. (2024). Future of AI in higher education: Automated credentials and institutional efficiency. Educational Technology Research and Development, 72, 401–420.
  84. Legaspi, M. D., Cruz, E. S., & Tolentino, G. F. (2025). Digital safety nets: The impact of institutional support on the perceived reliability of AI among higher education faculty. Journal of Southeast Asian Educational Research, 19(3), 142–160.
  85. Li, Y., Castulo, N. J., & Xu, X. (2025). Embracing or rejecting AI? A mixed-method study on undergraduate students’ perceptions of artificial intelligence at a private university in China. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1505856
  86. Liu, Z., Zhang, W., & Yang, P. (2025). Can AI chatbots effectively improve EFL learners’ learning effects?—A meta-analysis of empirical research from 2022–2024. Computer Assisted Language Learning, 1-27.
  87. Liu, T., Luo, Y. T., Pang, P. C. I., & Kan, H. Y. (2025). Exploring the impact of information and communication technology on educational administration: A systematic scoping review. Education Sciences, 15(9), 1114.
  88. Livanis, G., Tabiolo, R., & Wang, K. (2023). Status of AI for university research: Scientific production and data-driven decision making. International Journal of Research in Education and Science, 9(3), 567–584.
  89. Loke, S. K., & Wong, J. (2026). Post-adoption constructs in educational AI: Why system quality outweighs usage frequency in determining faculty satisfaction.     Asia-Pacific Journal of Information Technology in Education, 11(2), 45–63.https://doi.org/10.1080/apjite.2025.110293
  90. Luyten, L., Vrouwe, I., & Acican, Ö. (2025). Pedagogical analysis of construction workshops in architecture programs to teach structure and construction. Architecture, Structures and Construction, 5(1), 31.
  91. Macaraig, A. L., Cruz, P. B., & Tolentino, S. J. (2026). The AI-enhanced university: Measuring the accuracy-velocity balance in institutional task completion. International Journal of Academic Productivity, 8(2), 115–134.
  92. Madrigal, E. L., & Choy, S. H. (2026). The reliability frontier: Assessing the accuracy of generative AI in institutional administration and grading. Journal of Educational Technology Systems, 54(1), 12–29. https://doi.org/10.1177/00472395251203451
  93. Magno, C., & Tapia, J. (2025). The AI adoption curve in NCR private universities: From lesson plans to assessment. Asia-Pacific Education Researcher, 34(1), 201–218.
  94. Makovholo L.,, Batyashe T., Sekgweleo, & Iyamu T., 2021). Operational Architecture Framework for Information Technology Solutions: Diffusion of Innovation Perspective. In 2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall) (pp. 83-90). IEEE.
  95. Mariyono, J., & Nur Alif, M. (2025). The role of institutional frameworks in bridging the AI awareness–utilization gap among faculty members. Education and Information Technologies, 30(2), 1543–1567.
  96. Mendez, J. C. (2024). Democratizing the digital classroom: AI-driven collaboration and interaction in Philippine higher education institutions. Philippine Journal of Distance Education, 12(2), 31–48.
  97. Mendez, J., & Kim, Y. (2025). Peer influences on the adoption of AI tools in academic collaborations. Higher Education Research & Development, 44(3), 542–559.
  98. Mercado, F. D. (2025). The utilitarian adoption: Deconstructing the quality-utilization gap in the digital transformation of Philippine higher education. Ateneo de Manila University Press.
  99. Miano, L. C. (2025). Awareness on data privacy vis-à-vis data management practices at a state university in Quezon province: Input towards data-driven policy and manual for good governance. Edelweiss Applied Science and Technology, 9(1), 302–315.
  100. Mojica, A. (2024). Institutionalizing AI: Policy-driven awareness and its impact on academic standards
  101. Nakamura, K., & Tan, H. L. (2026). Institutional intelligence: The role of agentic AI in strategic university governance and student engagement. Journal of Higher Education Policy and Management, 48(1), 56–74.
  102. Obenza, J., Macabanding, A., & Lacia, L. (2024). The impact of generative AI on the cognitive load and task completion of Filipino tertiary students. Philippine Journal of Science and Technology in Education, 12(2), 88–102.
  103. Ocampo, J. R. (2024). Precision education and predictive analytics: The role of educator awareness in student success outcomes. Educational Technology & Society, 27(2), 112–128. https://doi.org/10.30191/ETS.202404_27(2).0008
  104. Olanday, J. R. (2026). From troubleshooting to coaching: The evolution of institutional IT support in the age of artificial intelligence. Philippine Review of Academic Infrastructure, 8(1), 12–29.
  105. Ozfidan, B., et al. (2025). Implementing artificial intelligence in academic and administrative processes through responsible strategic leadership in higher education institutions. Frontiers in Education. https://doi.org/10.3389/feduc.2025.1578451
  106. Park C.M. Lee, J. H., Hong, H., Nam, G.,& Hwang, E. J., (2023). Effect of human- AI interaction on detection of malignant lung nodules on chest radiographs. Radiology, 307(5), e222976.
  107. Pasipamire, N., Chigwada, J., & Maturure, R. (2025). Exploring the use and impact of artificial intelligence in higher education in Africa. Journal of Pedagogical Sociology and Psychology, 7(3), 108–131. https://doi.org/10.33902/jpsp.202532046
  108. Patel, N., Smith, T., & Enrico, J. (2023). Usability testing of AI tools in higher education: Implications for student satisfaction. Journal of Interactive Learning Research, 34(2), 233–249.
  109. Peralta, J. M., Reyes, C. L., & Santos, D. R. (2025). Cognitive ease and user interface design: Assessing the impact of AI platforms on faculty self-efficacy. Journal of Southeast Asian Educational Technology, 21(3), 142–159.
  110. Perante, L. (2025). Utilization of artificial intelligence tools in engineering education among HEIs in the Philippines. International Journal of Learning, Teaching and Educational Research, 24(1).
  111. Ramos, M. L., Garcia, J. P., & Sy, R. B. (2025). Beyond the awareness gap: Linking pedagogical utility to the utilization of AI support tools in higher education. Philippine Journal of Educational Technology, 18(4), 112–129.
  112. Redondo, M., & Paglinawan, R. (2025). Student perceptions of AI tools in academia:Utility and ethical concerns. Studies in Higher Education, 50(4), 325–342.
  113. Reyes, M. T., & Santiago, L. (2024). Sentiment analysis and student welfare: AI adoption in Philippine guidance offices. Asia-Pacific Social Science Review,            24(1), 58–73.
  114. Rivera, G., Cruz-Reyes, L., & Gómez Santillán, C. G. (2024). Editorial for Thematic Section: New Trends in Artificial Intelligence and its Applications. Computación y Sistemas, 28(3), 1483-1485.
  115. Russell H., & Norvig M.,(2024 ) The quest for artificial intelligence in projects. PM World Journal, 11(3).
  116. Salcedo, L. M. (2024). The AI-ready educator: Mastery, advocacy, and the promotion of digital tools in institutional settings. Educational Innovation Review, 15(3), 210–225.
  117. Saleem, M., Amin, Z., Siddique, H., Javed, R., & Akbar, M. (2026). Social Support, AI Literacy, and Well-Being Among University Students. Policy Journal of Social Science Review, 4(1), 104-108.
  118. Saputra, A., Hooda, M., & Yadav, S. (2024). From rule-based to generative: A systematic review of AI integration in classroom instruction and writing skills. Educational Technology Development and Exchange, 5(2), 981–994.
  119. Schoeffer, J., et al. (2023). New sources of inaccuracy? A conceptual framework for studying AI hallucinations. Harvard Kennedy School Misinformation Review. https://misinforeview.hks.harvard.edu/article/new-sources-of-inaccuracy-a-conceptual-framework-for-studying-ai-hallucinations/
  120. Šević, Ž., Neumann, T., & Usher, L. (2025). Empirical findings on AI tool usage among students in higher education. International Journal of Artificial Intelligence in Education, 35(2), 147–162.
  121. Singh, H., Sharma, A., & Gupta, P. (2023). Artificial intelligence in higher education: Satisfaction and performance analysis of students. Technology, Knowledge and Learning, 28(3), 889–910.
  122. Sitanggang, N. F., Pasaribu, G. M., Sihombing, G., Pinem, R. J., Sitinjak, C. M., Yana, E. Y., & Sipahutar, R. J. (2025). Artificial intelligence use and its effects on academic task quality and efficiency: A study in higher education. International Journal of Educational Practice and Policy, 3(1), 66–72.
  123. Soriano, F. A., & Lim, T. G. (2026). The consumerization of AI in academia: Trends in interface design and institutional satisfaction. International Journal of Human-Computer Interaction in Education, 9(1), 22–38. https://doi.org/10.1016/j.ijhcie.2025.100412
  124. Smith, R. L., & Lester, H. (2024, June). Navigating the AI Revolution in Engineering Management Education: Strategies for Detection, Integrity, and Pedagogical Enhancement. In 2024 ASEE Annual Conference & Exposition.
  125. Suleman, et al. (2025). Exploring the effects of artificial intelligence on student and academic well-being in higher education: A mini-review. PubMed Central. https://pmc.ncbi.nlm.nih.gov/articles/PMC11830699/
  126. Talan, T., & Kalinkara, Y. (2023). Diffusion of innovation: Faculty members’ adoption of AI services in adaptive learning. Educational Technology &   Society, 26(3), 145–160.
  127. Tabiolo, J. L., Ricarte, M. C., & Estacio, R. D. (2024). Digital maturity and technology acceptance: A structural equation model of AI integration in Philippine provincial colleges. Philippine Journal of Higher Education and Innovation, 11(2), 15–34.
  128. Tan, K., & Hashimoto, R. (2024). Efficiency gains and professional burnout: A longitudinal study of AI adoption in Asian higher education. Asian Review of Educational Technology, 13(4), 210–228.https://doi.org/10.1016/j.aret.2024.100289
  129. Tan-Sotto, M. R. (2024). The functional hesitation: Assessing the gap between digital awareness and classroom utilization in provincial universities. University of the Philippines Press.
  130. Tenedero, R. P., & Benson, L. (2025). Reliance-based trust: A longitudinal study on faculty satisfaction with AI output fidelity in Southeast Asian universities. Computers in Human Behavior, 163, 108–124.
  131. Thakur, S., & Lemke, C. (2025). Factors influencing student satisfaction with AI tools in higher education: A comparative study. Journal of Educational Research, 118(1), 67–80.
  132. Todorov, T., & Dochkova-Todorova, J. (2023). Accessible UX/UI design: Automated contrast and layout optimization using AI algorithms. In Proceedings of the International Conference on Computer Systems and Technologies (CompSysTech ’23) (pp. 88–95). Association for Computing Machinery. https://doi.org/10.1145/3606305.3606312
  133. Thompson, H. A. (2025). Digital self-efficacy: The psychological and structural drivers of AI adoption in modern academia. Oxford University Press.
  134. UNESCO. (2025). Guidance for generative AI in education and research. United Nations Educational, Scientific and Cultural Organization. https://unesdoc.unesco.org/ark:/48223/pf0000386693
  135. Vakkuri, V., Halme, E., Jantunen, M., & Abrahamsson, P. (2023). Ethical AI in practice: A design science research approach to implementing ethics in AI development. Springer Nature.
  136. Valdez, A. B. (2025). Beyond awareness: The socio-technical drivers of satisfaction in digital transformation within Philippine higher education. University of the Philippines Press.
  137. Valerio, T. (2024). The precision mandate: Evaluating the accuracy and dependability of AI-driven research tools in Philippine academia. University of Santo Tomas Press.
  138. Vázquez Cano, E., Reyes Millán, M., & Vázquez Villegas, P. (2024). Using an adaptive learning tool to improve student performance and satisfaction in online and face-to-face education for a more personalized approach. Smart Learning Environments, 11(6).
  139. Vázquez-Parra, J. C., Castillo-Martínez, I. M., Ramírez-Montoya, M. S., & Millán, A. (2024). Student utilization and perceptions of AI technology for academic purposes: A mixed-method analysis. Cogent Education, 11(1), 234–250. https://doi.org/10.1080/2331186X.2024.2340567
  140. Venkatesh, V. (2022). Adoption and use of AI tools: a research agenda grounded in UTAUT. Annals of operations research, 308(1), 641-652.
  141. Ventayen, C. C. (2024, November). Empowering education through transformative role of artificial intelligence (AI) in teaching and learning: educators'perspective and research trends. In 2024 9th International conference on information technology and digital applications (ICITDA) (pp. 1-5). IEEE.
  142. Villanueva, K. J. (2023). Bridging the distance: AI-powered chatbots in rural Philippine higher education. Journal of Open and Distance Learning (Philippines), 15(3), 102–115.
  143. Wadhwa, R., Rabby, F., Bansal, R., & Hundekari, S. (2024). Drivers and Impact of Artificial Intelligence on Student Engagement. In AI algorithms and ChatGPT for student engagement in online learning (pp. 161-170). IGI Global.
  144. Wong, D., & Chen, L. (2022). The relationship between usability and student satisfaction with AI applications in education. Journal of Computing in Higher Education, 34(3), 399–416.
  145. Xing, W., & Jiang, R. (2024). Accuracy as a mediator of user satisfaction in AI driven chat systems for student support. Journal of Educational Technology & Society, 27(2), 45
  146. Zhang X., et al. (2024). AI in career services: From resume parsing to interview simulation. Computers and Education: Artificial Intelligence, 6, 100185.

The rapid expansion of Artificial Intelligence (AI) technologies has transformed the higher education landscape, reshaping how teachers access information, engage with learning tools, and deliver instructional activities. Over the past few years, the integration of AI-enabled systems such as generative language models, intelligent tutoring systems, and automated feedback tools has become increasingly essential in improving teaching efficiency and supporting student learning outcomes. However, the combined influence of teachers’ awareness, utilization, and satisfaction with AI services in specific local higher education contexts remains underexplored. This study addressed this gap by examining the relationships among awareness, utilization, and satisfaction of AI services among 75 teachers in Higher Education Institutions (HEIs) in Tagaytay City for the academic year 2025–2026. The sample size of 63 was determined using the Raosoft Calculator and selected through simple random sampling (Rahi, 2020). Using a descriptive-correlational research design, data were gathered through survey questionnaires. Findings revealed very high levels of awareness, utilization, and satisfaction across all indicators of AI services. Correlational analysis showed limited but significant relationships between awareness and utilization, particularly in academic and learning support tools with integration in administrative processes (r = .252, p < .05) and ethical use and data privacy policies with faculty and staff adoption rates (r = .335, p < .05). However, no significant relationships were found between awareness and satisfaction, and between utilization and satisfaction, except for a few low correlations such as research and data analytics support with efficiency in task completion (r = -0.290, p < .05) and usage in student support services with efficiency in task completion (r = .262, p < .05). These results indicate that while awareness contributes to increased utilization in selected areas, it does not necessarily translate to higher satisfaction. Hence, an action plan is proposed to further enhance awareness, utilization, and satisfaction of AI services in HEIs in Tagaytay City.

Keywords : Artificial Intelligence, Awareness, Utilization, Satisfaction, Higher Education Institutions, Descriptive-Correlational Research.

Paper Submission Last Date
30 - June - 2026

SUBMIT YOUR PAPER CALL FOR PAPERS
Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe