Leveraging Human-in-the-Loop Engagement Through AI in Web Design Education: A Case Study on Adapting to Dynamic Client Requirements

Authors

Jason D. Lively, Lindenwood UniversityFollow

Abstract

The integration of Artificial Intelligence (AI) within educational frameworks, particularly in disciplines such as web design and development, represents a significant evolution in pedagogical strategies. This article examines a unique educational setup where students, while engaging in a web design class, utilize AI tools for text, image, and code creation within a simulated real-world scenario involving a client—dubbed "Chef Cookie Cutter". This simulated client interaction introduces unpredictability through mid-assignment requirement changes, thereby mimicking the dynamic nature of real-world web development projects. The focus of this case study is the critical role of human-in-the-loop (HITL) engagement in AI-assisted assignments, where students' adaptability, creativity, and problem-solving skills are put to the test. Such engagement not only prepares students for the intricacies and challenges of their future professions but also emphasizes the importance of human oversight in AI-driven processes. By incorporating generative AI, video avatars, and personalized learning mechanisms, this educational approach fosters a rich, interactive learning environment that enhances digital pedagogy. The findings suggest that integrating HITL in AI assignments significantly improves learning outcomes by fostering an adaptive learning environment that closely mirrors the complexities and demands of the industry, thereby preparing students more effectively for their future careers.

Recommended Citation

Lively, Jason D. (2024) "Leveraging Human-in-the-Loop Engagement Through AI in Web Design Education: A Case Study on Adapting to Dynamic Client Requirements," International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM: Vol. 2: Iss. 1, Article 4.
DOI: https://doi.org/10.62608/2831-3550.1016
Available at: https://digitalcommons.lindenwood.edu/ijedie/vol2/iss1/4

Date

3/28/2024

Comments

Thank you for this opportunity.