การประยุกต์ใช้ปัญญาประดิษฐ์ (AI) ในการเรียนการสอนยุคดิจิทัลในศตวรรษที่ 21

Papangkorn  Saibua

Authors

Papangkorn Saibua Bachelor of Education Program in Social Studies, NakhonPhanom Buddhist College Mahachulalongkornrajavidyalaya University

Keywords:

Artificial Intelligence, Digital Learning, Personalized Learning, 21st Century Skills, Educational Innovation

Abstract

The purpose of this article was to analyze and synthesize key concepts regarding the application of Artificial Intelligence (AI) in digital - age teaching and learning in the 21^st century. The paper presented definitions, roles, benefits, limitations, and strategic approaches for integrating AI into educational systems appropriately and sustainably. A documentary analysis method was employed, drawing upon international research studies and global policy reports. The findings indicated that AI had significant potential to support personalized learning, provide real - time feedback, analyze learner data, and enhance 21^st century skills effectively. However, the implementation of AI in education faced several challenges, including the digital divide, ethical concerns, data privacy issues, and the readiness of teachers and technological infrastructure. Therefore, the successful integration of AI required clear policy frameworks, capacity building for educators and learners, and a balanced approach that harmonized technological advancement with human values. Such efforts would contribute to creating flexible, equitable, and sustainable learning systems aligned with the rapidly changing global society.

Downloads

Download data is not yet available.

References

ศิริชัย กาญจนวาสี. (2566). การพัฒนาครูไทยกับการใช้เทคโนโลยี AI อย่างสร้างสรรค์และยั่งยืน. กรุงเทพฯ: จุฬาลงกรณ์มหาวิทยาลัย.

สำนักงานเลขาธิการสภาการศึกษา. (2567). รายงานนโยบายการศึกษาไทยในยุคดิจิทัล. กรุงเทพฯ: สำนักงานเลขาธิการสภาการศึกษา.

Dringó - Horváth, I., Rajki, Z., & Nagy, J. T. (2025). University Teachers’ Digital Competence and AI Literacy: Moderating Role of Gender, Age, Experience, and Discipline. Education Sciences, 15(7), 868. https://doi.org/10.3390/educsci15070868

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston, MA: Center for Curriculum Redesign.

Luckin, R., George, K., & Cukurova, M. (2022). AI for School Teachers. CRC Press.

Mollick, E. R., & Mollick, L. (2023). Assigning AI: Seven Approaches for Students, with Prompts (Wharton School Research Paper). Wharton School of the University of Pennsylvania. https://ssrn.com/abstract=4475995

Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Hoboken, NJ: Pearson.

UNESCO. (2021). AI and education: Guidance for Policy - Makers. United Nations Educational, Scientific and Cultural Organization. https:// unesdoc. unesco. org/ark:/48223/pf0000376709

UNESCO. (2024). AI and Education: Guidance for Policy Makers. Paris: UNESCO Publishing.

Williamson, B., & Eynon, R. (2020). Historical Threads, Missing Links, and Future Directions in AI in Education. Learning, Media and Technology, 45(3), 223 - 235.

Xie, H., Chu, H. C., Hwang, G. J., & Wang, C. C. (2019). Trends and Development in Technology - Enhanced Adaptive/Personalized Learning: A Systematic Review of Journal Publications from 2007 to 2017. Computers & Education, 140, 103599. https://doi.org/10.1016/j.compedu.2019.103599

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(39), 1 - 27. https:// doi.org/ 10.1186/ s41239-019-0171-0