Philippine E-Journals

References:

1. Xue Wang (2022) Improvement of Students’ Autonomous Learning Behavior by Optimizing Foreign Language Blended Learning Mode https://journals.sagepub.com/doi/full/10.1177/21582440211071108#body-ref-bibr25-21582440211071108
2. lie Gligorea et al. (2023) Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review https://www.mdpi.com/2227-7102/13/12/1216
3. Yu-Min Wang et al., (2022) What drives students’ AI learning behavior: a perspective of AI anxiety https://www.tandfonline.com/doi/full/10.1080/10494820.2022.2153147
4. Carie Justine P. Estrellado (2023) Artificial Intelligence in the Philippine Educational Context:
5. Circumspection and Future Inquiries, International Journal of Scientific and Research Publications. https://www.ijsrp.org/research-paper-0523/ijsrp-p13704.pdf
6. Gul.ai: AI- (2022, November 23). and IoT-enabled Plant-growing System for Boosting STEM Education in the Philippines.IEEE Conference Publication | IEEE Xplore. https://ieeexplore.ieee.org/document/9983122
7. Nazareno, A. L., Lopez, M. J. F., Gestiada, G. A., Martinez, M. P., & Roxas-Villanueva, R. M. (2019). An artificial neural network approach in predicting career strand of incoming senior high school students. Journal of Physics. Conference Series, 1245(1), 012005. https://doi.org/10.1088/1742-6596/1245/1/012005
8. Hua, J. H. (2023, December 20). Converging perspectives: Assessing AI readiness and utilization in Philippine higher education. Pacific Journal of Social Research and Technology. Retrieved from https://pgjsrt.com/pgjsrt/index.php/qaj/article/view/152 
9. Dela, A. C. R., Dela, A. K. C., Angelez, C. B., N., C. J. R., Cabahug, L. J., & V., M. R. D. (2024). Assessing AI adoption: Investigating variances in AI utilization across student year levels in Far Eastern University-Manila, Philippines. SSRN Electronic Journal. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4826963
10. Bancoro, J. C. M. (2024, February). The relationship between artificial intelligence (AI) usage and academic performance of business administration students. Artificial Intelligence. Retrieved from https://journal.formosapublisher.org/index.php/ijabm/article/view/7876
11. Balaquiao, E. C. (2024). Optimizing students’ performance through artificial intelligence (AI) technology: A gamified approach to smart learning environment. Journal of Physical Education and Sport. Retrieved from https://journal.iistr.org/index.php/JPES/article/view/515
12. Educational Initiatives. (2019). The Impact of ASSET on Learning Outcomes: A Research Study by Educational Initiatives. Retrieved from https://www.assetonline.in/impact-of-asset-on-learning-outcomes/
13. SRI International. (2015). Adaptive Learning Platforms: Results from an Efficacy Study Funded by the Bill & Melinda Gates Foundation. Retrieved from https://www.sri.com/sites/default/files/publications/adaptive-learning-platforms-results-from-an-efficacy-study-funded-by-the-bill-melinda-gates-foundation.pdf
14. Alzahrani, L. (2023). Analyzing students’ attitudes and behavior toward artificial intelligence technologies in higher education. Retrieved from https://www.researchgate.net/publication/369647009_Analyzing_Students'_Attitudes_and_Behavior_Toward_Artificial_Intelligence_Technologies_in_Higher_Education eSchool News. What is the impact of artificial intelligence on students? (2024, February 5).Retrieved from https://www.eschoolnews.com/digital-learning/2024/02/05/what-is-the-impact-of-artificial-intelligence-on-students/?fbclid=IwZXh0bgNhZW0CMTEAAR2d32Gn7tYrBGv3QdKc7pP0GuIsL1hQbpuucB6Ct5mVK1-sAJ_ldvUExbM_aem_SsAM6_rv5ulI5b7bXLnF5w
15. Shahzad, M. F., Xu, S., Lim, W. M., Yang, X., & Khan, Q. R. (2024). Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning. Retrieved from https://www.sciencedirect.com/science/article/pii/S2405844024055543
16. García-Martínez, I., Fernández-Batanero, J. M., Fernández-Cerero, J., & León, S. P. (2023). Analysing the impact of artificial intelligence and computational sciences on student performance: Systematic review and meta-analysis. Retrieved from https://files.eric.ed.gov/fulltext/EJ1375397.pdf
17. Mureșan, M. (2023, June 8-9). Impact of artificial intelligence on education. Retrieved from https://rais.education/wp-content/uploads/2023/07/0285.pdf
18. Chen, L., Chen, P., & Lin, Z. (2020, April 17). Artificial intelligence in education: A review. IEEE Xplore. https://ieeexplore.ieee.org/abstract/document/9069875
19. Ahmad, S., El-Affendi, M. A., Anwar, M. S., & Iqbal, R. (2022, May 17). Potential future directions in optimization of students’ performance prediction system. Hindawi.https://onlinelibrary.wiley.com/doi/full/10.1155/2022/6864955
20. Hooda, M., Rana, C., Dahiya, O., Rizwan, A., & Hossain, M. S. (2022, May 5). Artificial intelligence for assessment and feedback to enhance student success in higher education. Hindawi. https://onlinelibrary.wiley.com/doi/full/10.1155/2022/5215722
21. Estrellado, C. J. P. (2023, May). Artificial intelligence in the Philippine educational context: Circumspection and future inquiries. ResearchGate. https://www.researchgate.net/publication/370603250_Artificial_Intelligence_in_the_Philippine_Educational_Context_Circumspection_and_Future_Inquiries
22. Asirit, L. B. L., & Hua, J. H. (2023). Converging perspectives: Assessing AI readiness and utilization in Philippine higher education. PGJSRT. https://pgjsrt.com/pgjsrt/index.php/qaj/article/view/152
23. Sopera, S. K., Alaban, J. S., Briones, Z., & Magnaye, N. A. (2023, September). Artificial intelligence (AI) on learning process. Multitech Publisher. https://journal.multitechpublisher.com/index.php/ijir/article/view/244
24. Balaquiao, E. C. (2024). Optimizing students’ performance through artificial intelligence (AI) technology: A gamified approach to smart learning environment. Journal of Physics: Emerging Science. https://journal.iistr.org/index.php/JPES/article/view/515
25. Salido, V. (2023, December). Impact of AI-powered learning tools on student understanding and academic performance. ResearchGate. https://www.researchgate.net/profile/Veronica-Salido/publication/376260972
26. Wang X, (2022). Improvement of Students’ Autonomous Learning Behavior by Optimizing Foreign Language Blended Learning Mode. Available from: https://journals.sagepub.com/doi/full/10.1177/21582440211071108#body-ref-bibr25-21582440211071108.
27. Gligorea I, et al., (2023). Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review. Available from: https://www.mdpi.com/2227-7102/13/12/1216.
28. Wang YM, et al., (2022). What drives students’ AI learning behavior: a perspective of AI anxiety. Available from: https://www.tandfonline.com/doi/full/10.1080/10494820.2022.2153147 .