Home⇛Psychology and Education: A Multidisciplinary Journal⇛vol. 25 no. 7 (2024)

The Role of Artificial Intelligence in Shaping Effective Teaching Strategies: A Multiple Case Study of Filipino and Indonesian Teachers

Charles Andre Nieves | Kyla Mae Lenantud | Nalodiya Dee Golingay | Pearl Joy Loquinio | Ma. Imelda Grace Dañas | Denmark Dominguez | Erick T. Baloran | Finita Dewi

Discipline: Artificial Intelligence

 

Abstract:

Artificial Intelligence is considered a technological platform that impacts the teaching and learning process, particularly on its effect on assessment and grading and influence on graduates' future careers. However, the use of AI in the field of education, specifically on effective teaching strategies and classroom management poses issues experienced by teachers in the field. The increased use of AI in the classroom faces significant challenges because of insufficient resources for complete implementation. Nevertheless, researchers ground the argument in the gap and observed the need to find out more in the context of the experiences, coping mechanisms, and insights of Filipino and Indonesian teachers regarding the role of AI in shaping effective teaching strategies to improve student learning outcomes within the Philippine and Indonesian education system. Through this study initiative, an international university collaboration is established to conduct a multiple case study using qualitative interviews to gather essential information. Face-to-face interviews and online interviews were conducted with the participants with the guide of a given research questionnaire. Thus, semi-structured interviews are conducted with three Filipino and two Indonesian teachers as participants from private schools to gather their experiences in implementing and using AI-driven teaching strategies in their classrooms, forming the basis of this multiple case study. The researchers then proceeded to analyze the gathered information using descriptive-case analysis, within-case analysis, and cross-case analysis. In the concluding part of this study, from technical obstacles to systemic issues of digital infrastructure and technological inequality, these complexities underscore the need for concerted efforts to address barriers to AI-driven education. Despite these challenges, teachers demonstrate resilience and resourcefulness in navigating technological hurdles and promoting student engagement. By investing in professional development and fostering collaboration, educators unlock the full potential of AI in education and create inclusive learning environments that empower all students to succeed in the digital age.



References:

  1. Artuso, A. R., & Graf, S. T. (2020). Science and math courses in a Danish digital learning platform - What makes them more or less popular ?. IARTEM Journal, 12(1), 1-35. https://doi.org/10.21344/iartem.v12i1.726
  2. Baskarada, S. (2014). Qualitative case studies guidelines. The Qualitative Report, 19(40), 1-25. Retrieved from: https://ssrn.com/abstract=2559424
  3. Baxter, P., & Jack, S. (2008). Qualitative case study methodology: study design and implementation for novice researchers. The Qualitative Report, 13(4), 544-559. Retrieved from: http://www.nova.edu/ssss/QR/QR13-4/baxter.pdf
  4. Bacolod, D. B. (2022). Mobile learning as a solution for restricted learning during the COVID-19 pandemic. Journal of Digital Educational Technology, 2(1). https://doi.org/10.21601/jdet/11584
  5. Cardona, M., Rodríguez, R. & Ishmael, K., 2023. Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations, Office of Educational Technology. Retrieved from https://policycommons.net/artifacts/3854312/ai-report/4660267/ on 24 Jul 2024. CID: 20.500.12592/rh21zz.
  6. Crowe, S., Cresswell, K., Robertson, A., Huby, G., Avery, A., & Sheikh, A. (2011). The case study approach. BMC Medical Research Methodology, 11(1), 1-9. https://doi.org/10.1186/1471-2288-11-100 Elmusharaf, (2016). Maximum variation sampling method. Retrieved from: https://www.gfmer.ch/SRH-Course-2016/research-methodology/pdf/ Qualitativesampling-techniques-Elmusharaf-2016.pdf
  7. Espinosa, A., Gomez, M. A., Miranda, P., David, A., & Abulon, E. (2023). Technology in education: a case study on the Philippines. Unesdoc.unesco.org. https://unesdoc.unesco.org/ark:/48223/pf0000387743
  8. Estrellado, C. J., & Miranda, J. C. (2023). Artificial Intelligence in the Philippine educational context: Circumspection and future inquiries. International Journal of Scientific and Research Publications, 13(5), 16–22. https://doi.org/10.29322/ijsrp.13.05.2023.p13704
  9. 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.
  10. Gwo-Jen Hwang, Haoran Xie, Benjamin W. Wah, Dragan Gašević, Vision, challenges, roles and research issues of Artificial Intelligence in Education, Computers and Education: Artificial Intelligence, Volume 1, 2020, 100001,ISSN 2666-920X, https://doi.org/10.1016/j.caeai.2020.100001.(https://www.sciencedirect.com/ science/article/pii/S2666920X20300011)
  11. Kang, M., & Im, T. (2013). Factors of learner–instructor interaction which predict perceived learning outcomes in online learning environment. Journal of Computer Assisted Learning, 29(3), 292–301.
  12. Laura, R. S., & Chapman, A. (2009). The technologisation of education: Philosophical reflections on being too plugged in. International Journal of Children’s Spirituality, 14(3), 289–298.
  13. Miao, F. (2023, January 1). Artificial Intelligence in education. UNESCO.org. https://www.unesco.org/en/digital-education/artificial-intelligence
  14. Milberg, T. (2024). The Future of Learning: AI is Revolutionizing Education 4.0. World Economic Forum. https://www.weforum.org/agenda/2024/04/future-learning-ai-revolutionizing-education-4-0/
  15. Mollick, Ethan R. and Mollick, Lilach, Using AI to Implement Effective Teaching Strategies in Classrooms: Five Strategies, Including Prompts (March 17, 2023). The Wharton School Research Paper, Available at SSRN: https://ssrn.com/abstract=4391243 or http://dx.doi.org/10.2139/ssrn.4391243
  16. Nation’s teachers and parents overwhelmingly embrace education technology in classrooms but want guardrails in place. (2023, October 12). American Federation of Teachers. https://www.aft.org/press-release/nations-teachers-and-parents-overwhelmingly- embrace-education-technology-classrooms
  17. Nuryadin, R., & M, M. (2023). The use of AI (Artificial Intelligence) in education - (literature review). Indonesian Journal of Primary Education. https://ejournal.upi.edu/index.php/IJPE/article/view/64290
  18. Palatino, M. (2023, February 22). The Philippines’ basic education crisis. The Diplomat. https://thediplomat.com/2023/02/the-philippines-basic-education-crisis/
  19. Poola, Indrasen & Božić, Velibor. (2023). Shaping the ChatGPT for Maximum Productivity. 10.13140/RG.2.2.29803.92968.
  20. 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.
  21. Rashid, Y., Rashid, A., Warraich, M. A., Sabir, S. S., & Waseem, A. (2019). Case Study Method: A Step-by-Step Guide for Business Researchers. International Journal of Qualitative Methods, 18. https://doi.org/10.1177/1609406919862424
  22. Roll, I., Russell, D. M., & Gašević, D. (2018). Learning at scale. International Journal of Artificial Intelligence in Education, 28(4), 471–477.
  23. Romaioli, D. (2022). A Generative Sequential Mixed Methods Approach Using Quantitative Measures to Enhance Social Constructionist Inquiry. Journal of Mixed Methods Research, 16(2), 207–225. https://doi.org/10.1177/1558689820986273
  24. Slimi, Z., & Carballido, B. V. (2023). Navigating the Ethical Challenges of Artificial Intelligence in Higher Education: An Analysis of Seven Global AI Ethics Policies. TEM Journal, 12(2).
  25. Tai, Michael Cheng-Tek. The impact of artificial intelligence on human society and bioethics.
  26. Tzu Chi Medical Journal 32(4):p 339-343, Oct–Dec 2020. | DOI: 10.4103/tcmj.tcmj_71_20
  27. Teng, A. (2021, April 11). Schools in Singapore continue to reap benefits of remote learning. The StraitsTimes.https://www.straitstimes.com/singapore/parenting-education/how-a-virus- taught-education-in-singapore-a-lesson-in-adapability
  28. Thongprasit, J., & Wannapiroon, P. (2022). Framework of Artificial Intelligence Learning Platform for Education. International Education Studies, 15(1), 76. https://doi.org/10.5539/ies.v15n1p76
  29. Utami, V. C. (2020, September 2). Developments in artificial intelligence research at ITB during COVID-19 pandemic -. Institut Teknologi Bandung. https://www.itb.ac.id/news/developments-in-artificial-intelligence-research-at-itb-during-covid-19
  30. Walia, Dr. S. (2023, September 1). India’s achievements in Sustainable Development Goals and the role of social capital. LinkedIn. https://www.linkedin.com/pulse/indias-achievements-sustainable-development- goals-role-smriti-walia
  31. Yin, R. K. (2003). Case study research design and methods third edition. Applied Social Research Methods Series, 5. Retrieved from: https://books.google.com.ph/books/about/Case_Study_Research.htmlid=BWea_9 ZGQMwC&redir_esc=y
  32. Zach (2020). What is maximum variation sampling? Statology. Retrieved from: https://www.statology.org/maximum-variation-sampling/
  33. 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.

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