Utilization of Artificial Intelligence on Educational Climate and Students’ Academic Achievement
Rex Chanpokin | Elpedio Lomarda
Discipline: Artificial Intelligence
Abstract:
The main objective of the study was to describe the level of artificial intelligence on learning process utilize in educational climate considering their benefits and challenges of using AI in the teaching and learning process, awareness and perception of students toward AI in education and significance of perception and effectiveness to students and teachers in AI teaching and learning; find out the students’ academic achievement in Social Sciences’ subject and correlate the significant relationship between the artificial intelligence on learning process utilize in educational climate and students’ academic achievement. The respondents of the study were 120 students in Camiguin Polytechnic College, Balbagon, Mambajao, Camiguin Province during first semester of 2024. Random sampling was employed due to the large scope of the population to determine the students enrolled in the Social Science subject. The instrument on the level artificial intelligence on learning process utilize in educational climate was adapted from Sopera, Alaban, Briones and Magnaye (2023). For the students’ academic achievement in Social Sciences’ subject was adapted from the grading system of Camiguin Polytechnic State College. Descriptive analysis measures the level of artificial intelligence on learning process utilize in educational climate in terms of Awareness and Perception of Students toward AI in Education, Benefits and Challenges of Using AI in the Teaching and Learning Process, and Significance of Perception and Effectiveness to Students and Teachers in AI Teaching and Learning which is highly utilized, that is, great extent on the level responses of the students. It is essential to note the academic achievement of students in the Social Sciences subject based on a grading scale and corresponding frequency. The majority of students, described as "Excellent Superior." This indicates that over half of the students are performing at an exceptional level, demonstrating high academic achievement in Social Sciences. Correlation results indicated the significant relationships between different aspects of artificial intelligence utilization in the learning process and students' academic achievement. The variables include the benefits and challenges of using AI, awareness, and perception of students toward AI, and the significance of AI's perception and effectiveness to both students and teachers in the educational climate.
References:
- Ahmad, S. F., Alam, M. M., Rahmat, Mohd. K., Mubarik, M. S., & Hyder, S. I. (2022). Academic and Administrative Role of Artificial Intelligence in Education. Sustainability, 14(3), 1101. MDPI AG. Retrieved from http://dx.doi.org/10.3390/su14031101
- Akgun, S., Greenhow, C., (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI Ethics 2, 431–440.
- Anyfantis, A., Kaur, H., (2023). Amid ChatGPT bans in Australian schools,educators consider risks and benefits. https://www.sbs.com.au/language/punjabi/en/podcast-episode/
- Aripin, R., Mahmood, Z., Rohaizad, R., Yeop, U., & Anuar, M. (2018). Students’ earning styles and academic performance. Malaysia: Kuala Lumpur Convention Center.
- Baker, T., Smith, L., & Anissa, N. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges.
- Baker, R. S., Inventado, P. S., & Labrum, M. (2020). Educational data mining and learning analytics. In J. Michael Spector (Ed.), The SAGE Handbook of Learning Sciences (2nd ed., pp. 236-253). Sage Publications.
- Bonsu, E. and Baffour-Koduah, D. (2023). From the Consumers’ Side: Determining Students’ Perception and Intention to Use ChatGPT in Ghanaian Higher Education. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4387107.
- Brachman, R. J. (2016). (AA)AI — more than the sum of its parts, 2005 AAAI Presidential Address, AI Magazine 27, 4, pp. 19–34
- Castrillón, O., Sarache, & Herrera, R. (2020). Predicción del rendimiento académico por medio de técnicas de inteligencia artificial. Formación Universitaria, 13(1), 93–102. http://doi.org/ 10.4067/S0718-50062020000100093
- Chandrasekaran, B. (2014). What kind of information processing is intelligence? in The foundation of artificial intelligence—a sourcebook (Cambridge University Press, New York), pp. 14–46.
- Chounta, I.-A., Bardone, E., Raudsep, A. and Pedaste, M. (2022). Exploring Teachers’ Perceptions of Artificial Intelligence as a Tool to Support their Practice in Estonian K-12 Education. International Journal of Artificial Intelligence in Education, 32(3), pp. 725-755. https://doi.org/10.1007/s40593-021-00243-5.
- Crawford, K., & Calo, R. (2016). There is a blind spot in AI research. Nature, 538(7625), 311–313.
- Cruz-Benito, J., Sánchez-Prieto, J. C., Therón, R., & García-Peñalvo, F. J. (2019). Measuring students’ acceptance to AI-driven assessment in eLearning: Proposing a first TAM-based research model. In: International conference on human–computer interaction (pp. 15–25). Springer, Cham.
- Cruz, M., & Reyes, P. (2023). Professional Development for Teachers in the Age of AI. Philippine Journal of Educational Research, 16(1), 22-35.
- Cruz, M., & Santos, J. (2023). Understanding Students' Awareness of AI in Education: A Philippine Context. Philippine Journal of Educational Research, 16(2), 34-50.
- Dalalah, D. and Dalalah, O.M.A. (2023). The false positives and false negatives of generative AI detection tools in education and academic research: The case of ChatGPT. The International Journal of Management Education, 21(2), article no. 100822. https://doi.org/10.1016/j.ijme.2023.100822.
- Dela Cruz, A. (2022). The Role of AI in Enhancing Student Understanding in Philippine Classrooms. Journal of Philippine Education Studies, 10(1), 15- 28.
- Dela Cruz, A. (2022). Bridging Educational Gaps: The Role of AI in Inclusivity. Asian Journal of Teacher Education, 11(3), 45-60.
- Dilmurod, R., & Fazliddin, A. (2021). Prospects for the introduction of artificial intelligence technologies in higher education. academicia: an international multidisciplinary research journal, 11(2), 929–934. https://doi.org/10.5958/2249-7137.2021.00468.7
- Elliot, A. (2017). A conceptual history of the achievement goal construct. In A. Elliot & C. Dweck (Eds.), Handbook of competence and motivation (pp.52-72). New York: Guilford Press.
- Engelmann, S., & Carnine, D. (2021). Theory of instruction: Principles and applications (Ed.). Eugene, OR: ADI Press.
- Estrellado, C. J. (2023). Artificial Intelligence in the Philippine Educational Context: Circumspection and Future Inquiries. 4. 16. 10.29322/IJSRP.13.04.2023.p13704.
- Fahrman, B., Norström, P., Gumaelius, L. and Skogh, I.-B., 2020. Experienced technology teachers’ teaching practices. International Journal of Technology and Design Education, 30(1), pp. 163-186. https://doi.org/10.1007/s10798-019-09494-9.
- Feigenbaum, E. A. and Feldman, J. (1963). Computers and Thought (McGraw- Hill, New York).
- Felix, C. V. (2020). The role of the teacher and AI in education. In: International perspectives on the role of technology in humanizing higher education. Emerald Publishing Limited.
- Fitria, T. N. (2021). QuillBot as an online tool: Students’ alternative in paraphrasing and rewriting of English writing. Englisia: Journal of Language, Education, and Humanities, 9(1), 183-196. https://doi.org/10.22373/ej.v9i1.10233
- Golic, Z. (2019). Finance and artificial intelligence: The fifth industrial revolution and its impact on the financial sector. Zbornik radova Ekonomskog fakulteta u Istočnom Sarajevu, (19), pp. 67–81.
- Gonzales, T., & Tan, L. (2022). The Challenges of AI Integration in Philippine Education. Journal of Educational Leadership, 19(2), 67-82.
- Grosz, B. J., & Stone, P. (2018). A century-long commitment to assessing artificial intelligence and its impact on society. Communications of the ACM, 61(12), pp. 68–73.
- Guey, L. (2021, August 26). Closing the AI Skills Gap Requires a Whole-of-Society Approach. Closing the AI Skills Gap Requires a Whole-of-Society Approach | Journal of Public and International Affairs. https://jpia.princeton.edu/news/closing-ai-skills
- Hagendorff, T. (2020). The ethics of AI ethics: An evaluation of guidelines. Minds and Machines, 30(1), 99–120. https://doi.org/10.1007/s11023-020-09517-8
- Haseski. H.I. (2019). What do Turkish pre-service teachers think about artificial intelligence? International Journal of Computer Science Education in Schools, 3(2), Doi: 10.21585/ijcses.v3i2.55
- Hijazi, S. T., & Naqvi, S. M. M. R. (2016). ‘Factors affecting students’performance: A case of private colleges’. Bangladesh E-Journal of Sociology, 3 (1), 65-99.
- Holstein, K., Hong, G., Tegene, M., McLaren, B. M., & Aleven, V. (2018). The classroom as a dashboard: Co-designing wear able cognitive augmentation for K-12 teachers. In: Proceedings of the 8th international conference on learning analytics and knowledge (pp. 79–88).
- Humble, N., & Mozelius, P. (2019, October). Artificial Intelligence in Education-a Promise, a Threat or a Hype?. In European Conference on the Impact of Artificial Intelligence and Robotics 2019 (ECIAIR 2019), Oxford, UK (pp. 149–156). Academic Conferences and Publishing International Limited.
- International Conference on Open and Distance eLearning (ICODeL). (2021, November 8). Artificial Intelligence in Education Discussed in ICODeL 2021 Special Session - University of the Philippines Open University. University of the Philippines Open University. https://www.upou.edu.ph/news/artificial-intelligence-in-education-discussed-in-icodel-2021-special-session/
- Ilkka, T. (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education.
- Jawaid, I., Javed, M. Y., Jaffery, M. H., Akram, A., Safder, U., & Hassan, S. (2020). Robotic system education for young children by collaborative-project-based learning. Computer Applications in Engineering Education, 28(1), 178–192. https://doi.org/10.1002/cae.22184
- Kaplan-Rakowski, R., Grotewold, K., Hartwick, P. and Papin, K., 2023. Generative AI and Teachers’ Perspectives on Its Implementation in Education. Journal of Interactive Learning Research, 34(2), pp. 313-338.
- Karsenti, T. (2019). Artificial intelligence in education: the urgent need to prepare teachers for tomorrow’s schools. Formation et profession, 27(1), pp. 112–116. Doi:10.18162/fp.2019.a166.
- Khribi, M. K., Jemni, M., & Nasraoui, O. (2019). Artificial intelligence in education: A review of the state-of-the-art and perspectives. International Journal of Smart Technology and Learning, 1(2), 70-99.
- Kim, J., Merrill, K., Xu, K. and Sellnow, D.D. (2020). My Teacher Is a Machine: Understanding Students’ Perceptions of AI Teaching Assistants in Online Education. International Journal of Human–Computer Interaction, 36(20), pp. 1902-1911. https://doi.org/10.1080/10447318.2020.1801227.
- Kim, Y., Soyata, T. and Behnagh, R.F., 2018. Towards Emotionally Aware AI Smart Classroom: Current Issues and Directions for Engineering and Education. IEEE Access, 6, pp. 5308-5331. https://doi.org/10.1109/ACCESS.2018.2791861.
- Kuleto, V., Ilić, M., Dumangiu, M., Ranković, M., Martins, O. M. D., Păun, D., & Mihoreanu, L. (2021). Exploring Opportunities and Challenges of Artificial Intelligence and Machine Learning in Higher Education Institutions. Sustainability, 13(18). https://doi.org/10.3390/SU131810424
- Kuzmin, E., Kopylov,T., Kudryavtsev, H., Tolspotyatov, R., Galimou, T. & Ionova, S. (2016). Student Attitudes Towards Learning and School-Study of Exploratory Models about the Effects of Socio-demographics and Personal Attributes.” Vol. 31, pp. 469-483, 2008.
- Liang, W. (2020). Development Trend and Thinking of Artificial Intelligence in Education. 2020 International Wireless Communications and Mobile Computing (IWCMC), Limassol, Cyprus, pp. 886 890, doi: 10.1109/IWCMC48107.2020.9148078
- Lim, E., & Tan, L. (2022). Cultural Context and Acceptance of AI in Education. Asian Journal of Teacher Education, 11(3), 42-58.
- Luckin, R., & Cukurova, M. (2019). Designing educational technologies in the age of AI: A learning sciences-driven approach. Br. J. Educ. Technol., 50(6), 2824–2838.
- Lynch, R., Ashley, K., & Kargozari, H. (2021). Intelligent tutoring systems: A comprehensive review. Computers & Education, 166, 104177.
- Manyika, J., Chui, M., Miremadi, M., Bughin, J., George, K., Willmott, P., & Dewhurst, M. (2017). A future that works: Automation, employment, and productivity. Chicago: McKinsey Global Institute.
- Marzuki, M. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. https://www.tandfonline.com/doi/epdf/10.1080/2331186X.2023.2236469?needAccess=true
- McCarthy, J., Minsky, M., Rochester, N. and Shannon, C. (1955). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, URL: http://wwwformal.stanford.edu/jmc/history/dartmouth.html.
- Mendoza, R. (2023). Data Privacy Concerns in AI-Enhanced Education. International Journal of Educational Technology, 25(4), 200-215.
- Mendoza, R. (2023). Challenges of AI Implementation in Rural Education: Bridging the Gap. International Journal of Educational Technology, 24(4), 210-225.
- Minsky, M. (1985). The Society of Mind (Simon and Schuster, New York).
- Mohammed P.S., & Watson E. N. (2019). Towards inclusive education in the age of artificial intelligence: perspectives, challenges, and opportunities. In: Knox J., Wang Y., Gallagher M. (eds) Artificial Intelligence and Inclusive Education. Perspectives on Rethinking and Reforming Education. Singapore: Springer.
- Moorhouse, B. and Kohnke, L. (2023). The Effects of Generative Ai on Initial Language Teacher Education: The Perspectives of Teacher Educators.
- Moreno, R. D. (2019). The arrival of artificial intelligence to education. RITI Journal, 7(14), 260–270. https://doi.org/10.36825/RITI.07.14.022
- Murphy, R. F. (2019). Artificial intelligence applications to support K–12 teachers and teaching. RAND Corporation. https:// doi.org/10.7249/PE315
- Newell, A. (1990). Unified Theories of Cognition (Harvard University Press, Cambridge, Massachusetts).
- Ng, A. (2017, January 25). Artificial intelligence is the new electricity. Speech presented at Stanford MSx Future Forum in California, Stanford.
- Ocaña, Y., Valenzuela, L., & Garro, L. (2019). Artificial Intelligence and its Implications in Higher Education. Propósito y Representaciones, 7(2), 536–568. http://doi.org/10.20511/ pyr2019.v7n2.274
- Osetskyi, V., Vitrenko, A., Tatomyr, I., Bilan, S., & Hirnyk, Ye. V. (2020). artificial intelligence application in education: financial implications and prospects. Financial and Credit Activity Problems of Theory and Practice, 2(33), 574– 584.
- Păvăloaia, V.-D. and Necula, S.-C. (2023). Artificial Intelligence as a Disruptive Technology – A Systematic Literature Review. Electronics, 12(5), article no. 1102. https://doi.org/ 10.3390/electronics12051102.
- Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. Paris: UNESCO.
- Petko, D., Schmid, R., Müller, L., & Hielscher, M. (2019). Metapholio: A mobile app for supporting collaborative note taking and reflection in teacher education. Technology, Knowledge and Learning, 24(4), 699–710. https://doi.org/10.1007/s10758-019-09398-6
- Pisica, A.I., Edu, T., Zaharia, R.M. and Zaharia, R. (2023). Implementing Artificial Intelligence in Higher Education: Pros and Cons from the Perspectives of Academics. Societies, 13(5), article no. 118. https://doi.org/10.3390/soc13050118.
- Popenici, S. A., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 22.
- Ramirez, J., & Gonzales, T. (2023). The Benefits of AI in Learning: Students' Perspectives. Journal of Philippine Education Studies, 10(3), 102-117.
- Reiss, M. J. (2021). The use of AI in education: Practicalities and ethical considerations. London Review of Education, 19(1).
- Reyes, P., & Gonzales, T. (2023). AI and Student Engagement: Implications for Academic Achievement. Philippine Journal of Educational Research, 16(3), 55-70.
- Santos, J., Lim, E., & Villanueva, S. (2023). Personalized Learning through AI: Impacts on Student Engagement. Journal of Philippine Education Studies, 10(2), 99-115.
- SCI Journal. (2022, January 19). 28 Best Academic Search Engines That make your research easier. SCI Journal.
- Schölkopf, B. (2019). Causality for Machine Learning. Probabilistic and Causal Inference, 765–804. https://doi.org/10.1145/3501714.3501755
- Sekeroglu, B., Dimililer, K., & Tuncal, K. (2019). Artificial intelligence in education: application in student performance evaluation. Dilemas Contemporáneos: Educación, Política y Valores, 7(1), pp. 1–21.
- Sit, C., Srinivasan, R., Amlani, A., Muthuswamy, K., Azam, A., Monzon, L. and Poon, D.S., (2020). Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey. Insights into Imaging, 11(1), article no. 14. https://doi.org/10.1186/s13244-019-0830-7.
- Taeihagh, A. (2021). Governance of artificial intelligence. Policy and Society, 40(2), 137–157. https://doi.org/10.1080/14494035.2021.1928377
- Tan, E., & Bautista, R. (2023). Contextualizing AI in the Philippine Educational Landscape. Educational Review, 30(1), 150-165.
- Tech Business News, (2023). ChatGPT May Lead To The Downfall Of Education And Critical Thinking. https://www.techbusinessnews.com.au/blog/chatgpt-may-lead-to-thedownfall-of-eduction-and-critical-thinking/
- Timms, M. J. (2016). Letting artificial intelligence in education out of the box: educational cobots and smart classrooms. International Journal of Artificial Intelligence in Education, 26(2), pp. 701–712, Doi: 10.1007/s40593 016-0095-y
- Tribdino, R. G. B. (2023). Will AI be beneficial to education?. https://malaya.com.ph/news_special_feature/will-ai-be-beneficial to-education/
- Tuychieva, N. (2022). Innovative Management In The Development Of The Higher Education System. Journal of Academic Research and Trends in Educational Sciences, 1(10), 346–351. Retrieved from http://www.ijournal.uz/index.php/jartes/article/view/277
- UNESCO. (2019). The Sustainable Development Goals Report. Retrieved from https://bit.ly/ 34nbq60
- Urinov Bakhrom Jamoliddinovich (2022). Fundamentals Of Education Quality In Higher Education. International Journal Of Social Science & Interdisciplinary Research. ISSN: 2277-3630 Impact Factor: 7.429, 11(01), 149–151. Retrieved from https://gejournal.net/index.php/IJSSIR/article/view/107
- Vampugani, V. S., & Swathi, K. (2018). Artificial Intelligence and its Implications in Education. https://www.researchgate.net/publication/328686410
- Wang, M., & Sun, J. (2020). Artificial Intelligence in Education: A Review. IEEE/CAA Journal of Automatica Sinica, 7(1), 3-17.
- Wartman, S. A., & Combs, C. D. (2018). Medical education must move from the information age to the age of artificial intelligence. Academic Medicine, 93(8), pp. 1107–1109.
- Williams, R., Park, H. W., & Breazeal, C. (2019). A is for Artificial Intelligence: The Impact of Artificial Intelligence Activities on Young Children’s Perceptions of Robots. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 4, 11. https://doi.org/10.1145/3290605.3300677
- Wogu, I. A. P., Misra, S., Olu-Owolabi, E. F., Assibong, P. A.. & Udoh, O. D. (2018). Artificial intelligence, artificial teachers and the fate of learners in the 21st century education sector: Implications for theory and practice. International Journal of Pure and Applied Mathematics, 119(16), pp. 2245–2259.
- Yang, Y., Zhuang, Y., & Pan, Y. (2021). Multiple knowledge representation for big data artificial intelligence: framework, applications, and case studies. Frontiers of Information Technology & Electronic Engineering, 22(12), 1551–1558. https://doi.org/10.1631/FITEE.2100463
- Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39.
- Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J. B., Yuan, J., & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021. https://doi.org/10.1155/2021/8812542
- Zhao, Y., Pinto, A. & Sánchez, M. (2021). Digital competence in higher education research: A systematic literature Computers & https://doi.org/10.1016/j.compedu.2021.104212.
- Zou, B., Liviero, S., Hao, M. and Wei, C., 2020. Artificial Intelligence Technology for EAP Speaking Skills: Student Perceptions of Opportunities and Challenges. pp. 433-463. https://doi.org/10.1007/978-3-030-34212-8_17.