mlsanityData to 14 Oct 2026

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

arXiv 2407.05181 ↗First posted 23 Apr 2024cs.CY cs.AIcited by 4

Not on the map. Why?

Abstract (arXiv)

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 tools tailored to their students' needs. While the exercises in this paper are a starting point, not a definitive solutions, they demonstrate AI's potential to expand what is possible in teaching and learning.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 0 of its 28 references that are in the map. First posted on arXiv 23 Apr 2024.

Builds on

0 of 28 references.

No references here yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.