This project explores how faculty members in higher education approach course development alongside artificial intelligence (AI). The study investigates faculty perceptions, comfort levels, and practical applications of AI tools in creating instructional materials. It also introduces a structured model for AI-assisted course design, called “Prompt: Wait, Confirm, Execute”, which guides faculty in engaging with AI tools more intentionally and effectively.
By leveraging freely available or institutionally licensed AI tools, instructors can minimize design constraints, accelerated the development of new courses from scratch, and enhanced existing learning materials for greater clarity, engagement, and accessibility. The model’s focus on prompt refinement and confirmation reduces wasted time and output revisions, maximizing productivity with minimal cost. This initiative inform institutional strategies for faculty development and digital literacy. Data collected help decision-makers identify training needs, improve support services for instructors, and integrate AI responsibly into academic policies. The project also promotes evidence-based decisions on curriculum innovation, emphasizing transparency and ethical AI use in teaching and learning.
The “Prompt: Wait, Confirm, Execute” model provides a practical, reflective framework for faculty to use AI tools efficiently and responsibly. It promotes deliberate interaction rather than automatic generation, helping educators stay in control of the creative process.
- Prompt – Clearly define your goal, context, and expectations for the task. When crafting your initial prompt, instruct the AI to wait for further direction before generating a response. This creates a “pause” that allows you to refine the setup, provide data, or add clarifying details.
- Wait – Use this pause to review and think critically about your input and intended outcomes. This step encourages reflection and ensures that you guide the process and maintain alignment with academic objectives.
- Confirm and Execute – Once you are confident in your setup, give the AI permission to proceed by giving curating the an output carefully for accuracy, relevance, tone, and ethical alignment.
This structured approach ensures that AI supports academic expertise rather than replacing it. By encouraging intentional engagement, the model helps make AI use both sustainable and cost-effective across disciplines.