This presentation offers a comprehensive examination of the integration of generative AI platforms within the realm of certification exam development. Focusing on a specific voluntary certification program, we delve into the process undertaken to adapt and apply advanced AI technology to enhance exam item creation.

Through collaborative efforts with AI experts, the program embarked on a methodical approach to customize an AI model, aligning it meticulously with the blueprint of certification exams. This presentation reveals the operational complexities involved in leveraging generative AI platforms to expedite item creation, while maintaining rigorous quality standards upheld by Subject Matter Experts (SMEs).

The post-development phase encompasses an in-depth analysis of psychometric evaluations and comparative studies. These evaluations were conducted to assess the congruence between traditionally developed items and those generated through AI. By explaining the outcomes of these analyses, this presentation aims to contribute empirical insights into the implications for the validity and reliability of certification exams.

Drawing upon the findings, challenges encountered, and lessons learned, this presentation offers a view into the transformative potential of AI-driven methodologies in certification exam development. This presentation provides an exploration of the evolving landscape of certification exam development and assessment.