Instructors as Innovators: A future-focused approach to new AI learning opportunities, with prompts
Ethan Mollick, Lilach Mollick

TL;DR
This paper presents a future-focused approach where instructors use generative AI to design personalized, innovative learning exercises, promoting democratized educational technology development and transforming teaching practices.
Contribution
It introduces customizable AI-based exercises and prompts for instructors to create personalized learning experiences, emphasizing instructor-driven innovation in education.
Findings
AI enables personalized and diverse learning exercises.
Instructors can design and implement AI-driven activities with guidance.
Potential to democratize educational technology development.
Abstract
This paper explores how instructors can leverage generative AI to create personalized learning experiences for students that transform teaching and learning. We present a range of AI-based exercises that enable novel forms of practice and application including simulations, mentoring, coaching, and co-creation. For each type of exercise, we provide prompts that instructors can customize, along with guidance on classroom implementation, assessment, and risks to consider. We also provide blueprints, prompts that help instructors create their own original prompts. Instructors can leverage their content and pedagogical expertise to design these experiences, putting them in the role of builders and innovators. We argue that this instructor-driven approach has the potential to democratize the development of educational technology by enabling individual instructors to create AI exercises and…
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Taxonomy
TopicsOnline Learning and Analytics
