The use of Artificial Intelligence in Thai Language Education

Varangkana Topothai

Authors

Varangkana Topothai School of Educational Studies, Sukhothai Thammathirat Open University

Keywords:

Artificial Intelligence in Education, Thai Language Education, AI Literacy, AI-TPACK, SAMR Model

Abstract

This article aims to 1) present foundational concepts for applying artificial intelligence in Thai language education, 2) propose practical approaches to Thai language education, and 3) suggest assessment approaches in the context of AI-supportedThai language education. The article emphasizes the use of artificial intelligence as a tool to support learning rather than to replace students’ thinking processes. The analysis and synthesis revealed that AI-supported Thai language education should be grounded in the concepts of AI Literacy, Artificial Intelligence Technological Pedagogical Content Knowledge (AI-TPACK), and the SAMR model, which can serve as frameworks for designing learning activities and reflecting on learning outcomes. In addition, practical approaches to Thai language education at the primary, secondary, and higher education levels can use artificial intelligence as a tool to support higher-order thinking through activities covering reading, writing, listening, viewing, and speaking, principles of language usage, and literature and literary works. The role of artificial intelligence should shift from merely being a content-generation tool to becoming a tool that promotes critical thinking. Regarding assessment, Thai language education should integrate Assessment for Learning, Assessment as Learning, and Assessment of Learning with rubric-based assessment that evaluates AI literacy competencies, awareness of limitations, and ethical governance in the use of artificial intelligence. These approaches can help promote academic integrity and the appropriate use of artificial intelligence in Thai language education.

References

กระทรวงดิจิทัลเพื่อเศรษฐกิจและสังคม. (2561). แผนพัฒนาดิจิทัลเพื่อเศรษฐกิจและสังคม. https://ict.moph.go.th/th/extension/718

กระทรวงศึกษาธิการ. (2566). นโยบายและจุดเน้นการจัดการศึกษาของกระทรวงศึกษาธิการ ปีงบประมาณ พ.ศ. 2566. https://www.moe.go.th/360policy-and-focus-moe-2023/

กิตติพงศ์ มะโน. (2567). การพัฒนารูปแบบการสอนภาษาโดยใช้ภาระงานเป็นฐานร่วมกับการให้ข้อมูลป้อนกลับด้วยปัญญาประดิษฐ์แบบรู้สร้างเพื่อพัฒนาทักษะการเขียนเชิงวิพากษ์และการมีส่วนร่วมของนักเรียน [วิทยานิพนธ์ปริญญาดุษฎีบัณฑิต, จุฬาลงกรณ์มหาวิทยาลัย]. Chula Digital Collections. https://digital.car.chula.ac.th/cgi/viewcontent.cgi?article=76410&context=chulaetd

จักรพงษ์ จันทวงศ์. (2566). การใช้เทคโนโลยีปัญญาประดิษฐ์ (AI) เพื่อพัฒนาทักษะการอ่านของผู้เรียน. วารสารศิลปศาสตร์และอุตสาหกรรมบริการ, 6(1), 744–755.

สำนักงานเลขาธิการสภาการศึกษา. (2566). แนวทางการจัดการศึกษาเพื่อพัฒนาทักษะแห่งอนาคตของผู้เรียนไทย. สำนักงานเลขาธิการสภาการศึกษา.

Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7–74. https://doi.org/10.1080/0969595980050102

Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(38), 1-25. https://doi.org/10.1186/s41239-023-00408-3

Hamilton, E. R., Rosenberg, J. M., & Akcaoglu, M. (2016). The substitution augmentation modification redefinition (SAMR) model: A critical review and suggestions for its use. TechTrends, 60(5), 433–441. https://doi.org/10.1007/s11528-016-0091-y

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.https://www.researchgate.net/publication/332180327_Artificial_Intelligence_in_Education_Promise_and_Implications_for_Teaching_and_Learning

Jurafsky, D., & Martin, J. H. (2023). Speech and language processing (3rd ed.). Pearson.

Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3313831.3376727

Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054.

Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504–509. https://doi.org/10.1002/pra2.487

OECD. (2021). OECD digital education outlook 2021: Pushing the frontiers with artificial intelligence, blockchain and robots. OECD Publishing. https://doi.org/10.1787/589b283f-en

Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.

Sadler, D. R. (1989). Formative assessment and the design of instructional systems. Instructional Science, 18(2), 119–144. https://doi.org/10.1007/BF00117714

UNESCO. (2021). AI and education: Guidance for policy- makers.UNESCO. https://www.unesco.org/en/articles/ai-and-education-guidance-policy-makers

UNESCO. (2023). Guidance for generative AI in education and research. UNESCO. https://www.unesco.org/en/articles/guidance-generative-ai-education-and-research