Artificial intelligence has emerged as a transformative force across numerous sectors in recent years, and education is no exception. As online learning continues to evolve and expand globally, integrating AI technologies presents both unprecedented opportunities and complex challenges for educators, students, and institutions alike (Bates et al., 2020).

The rapid acceleration of digital transformation in education, particularly following the global pandemic, has created a landscape where AI tools have transitioned from futuristic concepts to present-day necessities (García-Peñalvo, 2021). Simultaneously, online learning has increased enrollment and acceptance, comprising 40% of the offerings at a growing number of colleges and universities worldwide. From automated grading systems and intelligent tutoring to personalized learning pathways and predictive analytics, AI is reshaping our approach to teaching and learning in virtual environments (Holmes et al., 2022). Indeed, (Kirkpatrick and Morales, 2024) underscore that distance education quality assurance must now consider the role of AI tools in enhancing instruction, assessment, and student support services - especially as these technologies become increasingly integrated into learning management systems.

This presentation examines how incorporating AI can effectively enhance pedagogical practices, improve learning outcomes, and create more engaging and accessible educational experiences in online environments. Attendees will receive information about:
- Current applications of AI in online teaching and learning contexts
- Instructional design aided by artificial intelligence
- Integrating AI into online course design

Drawing from research literature and real-world case studies, this presentation provides a comprehensive yet accessible guide for educators and administrators seeking to navigate the increasingly AI-influenced landscape of online education (Reich, 2023). By grasping the possibilities and limitations of current AI technologies, educational stakeholders can make informed decisions that leverage these powerful tools while prioritizing sound pedagogical principles and student success in online learning environments.

References:
[1] Bates, T., Cobo, C., Mariño, O., & Wheeler, S. (2020). Can artificial intelligence transform higher education? International Journal of Educational Technology in Higher Education, 17(1), 1-12.
[2] Bowen, J. A., & Watson, C. E. (2024). Teaching with AI: A practical guide to a new era of human learning. Johns Hopkins University Press.
[3] Fu, Y., & Weng, Z. (2024). Navigating the ethical terrain of AI in education: A systematic review on framing responsible human-centered AI practices. Computers and Education: Artificial Intelligence, 100306. Retrieved from: https://www.sciencedirect.com/science/article/pii/S2666920X24001097
[4] García-Peñalvo, F. J. (2021). Digital transformation in the universities: Implications of the COVID-19 pandemic. Education in the Knowledge Society, 22, e25465.
[5] Kirkpatrick, K., Morales, C. (2024, July). Ten Steps to Quality Assurance in Distance Education. Journal of Distance Learning Administration, 27(2). Retrieved from: https://ojdla.com/articles/ten-steps-to-quality-assurance-in-distance-education
[6] Picciano, A. G. (2022). Artificial intelligence and the academy's loss of purpose. Online Learning, 26(1), 296-307.

Keywords: Online course design, artificial intelligence, instructional design, student success.