Artificial intelligence impacts educational design

Main Article Content

somporn name-in
Chatree Suksabay

Abstract

This article explores the impact of artificial intelligence (AI) technology on instructional design in the education sector. AI has the potential to enhance learning efficiency and tailor content to meet the needs of individual students through learning behavior analysis, virtual teaching assistants like chatbots, automated content creation, and real-time assessments. AI also helps create diverse learning materials, such as using VR and AR technology to create immersive learning experiences. Adapting content and teaching methods to suit learners is something AI can accomplish effectively. The use of AI in education not only reduces teachers' workload and provides 24/7 learning support but also plays a role in developing interactive learning platforms and adaptive assessments based on students' knowledge levels. However, ethical considerations and data security must be addressed to ensure the safe and effective use of AI. This article highlights the potential and challenges of using AI in instructional design and provides guidelines for applying AI to improve future educational quality. AI's role in creating learning content includes diverse materials, such as VR and AR, to create realistic and enjoyable learning experiences. AI also aids in the creation of assessments and evaluations tailored to students' knowledge and capabilities, as well as long-term learning analytics and tracking. Adapting content and teaching methods to suit learners is something AI can accomplish efficiently.

Article Details

How to Cite
name-in, somporn, & Suksabay, C. . . . (2024). Artificial intelligence impacts educational design. Journal of Scholar Community, 2(4), 60–71. retrieved from https://so12.tci-thaijo.org/index.php/watmahasawat_jsc/article/view/1462
Section
บทความวิชาการ

References

ขวัญใจ ทวนดำ, พระสมพร นามอินทร์. (2023). ปัญญาประดิษฐ์กับการสอนวิชาศิลปะ. วารสารคอมพิวเตอร์ และเทคโนโลยีสร้างสรรค์, 1(3), 33-39.

Akinwalere, S. N., & Ivanov, V. (2022). Artificial intelligence in higher education: Challenges and opportunities. Border Crossing, 12(1), 1-15.

Beaumont, I. H. (1994). User modeling in the interactive anatomy tutoring system ANATOM-TUTOR. The Journal of Personalization Research, 4, 21-45.

Bisconti, P. L., & Nardi, D. (2018). Companion robots: The hallucinatory danger of human-robot interactions. In, AIES'18: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society.

Levesque, M. E. (2019). The role of AI in education and the changing U.S. workforce. https://www.brookings.edu/articles/the-role-of-ai-in-education-and-the-changing-u-s-workforce/

Goel, A. K., & Joyner, D. A. (2017). Using AI to teach AI: Lessons from an online AI class. AI Magazine, 38(2), 48-59.

Grigorescu, S., Trasnea, B., Cocias, T., & Macesanu, G. (2020). A survey of deep learning techniques for autonomous driving. Journal of Field Robotics, 37(3), 362-386.

Kadaruddin. (2023). Empowering education through generative AI: Innovative instructional strategies for tomorrow's learners. International Journal of Business, Law, and Education, 4(2), 618-625.

Kurdi, G., Leo, J., Parsia, B., Sattler, U., & Al-Emari, S. (2020). A systematic review of automatic question generation for educational purposes. International Journal of Artificial Intelligence in Education, 30(1), 121-204.

Luckin, R., Holmes, W., Griffiths, M. & Forcier, L.B., (2016). Intelligence unleashed: An argument for AI in education. Pearson.

Madunić, J., & Sovulj, M. (2024). Application of ChatGPT in information literacy instructional design. Publications, 12(2), 1-14.

Mulla, N., & Gharpure, P. (2023). Automatic question generation: A review of methodologies, datasets, evaluation metrics, and applications. Progress in Artificial Intelligence, 12, 1–32.

Nwana, H. S. (1990). Intelligent tutoring systems: An overview. Artificial Intelligence Review, 4(4), 251-277.

Ruiz, L., Vargas, P. A., De-Moreta-Llovet, J., & Gonzalez-Rodriguez, M. (2023). Empowering education with generative artificial intelligence tools: Approach with an instructional design matrix. Sustainability, 15(15), 1-20.

Romero, C., & Ventura, S. (2020). Educational data mining and learning analytics: An updated survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 10(3), Article e1355.

SAS. (2024). What is natural language processing?. https://www.sas.com/th_th/insights/analytics/what-is-natural-language-processing-nlp.html

ThideAI. (2023). AI in education: Adaptive learning and student assessment. https://thideai.com/ai-in-education-adaptive-learning-and-student-assessment/

Watulak, S. L. (2017). Editorial. International Journal of Information and Learning Technology, 34(5), 370-371.

Wiley. (2024). Alta: Personalized learning that's impactful, accessible, and affordable. https://www.wiley.com/en-sg/education/alta