AI²: Augmenting Intelligence Through Prompt Design

Many educators are learning how to write better prompts. A more important question may be whether those prompts are producing better AI interactions and better learning outcomes.
In this interactive workshop, participants will explore how seemingly small prompt-design choices can significantly influence both the quality of AI responses and the quality of the learning experience. Through guided activities and real-world examples, attendees will examine how prompts shape the information AI gathers, the recommendations it provides, and the thinking that occurs throughout the process.
Using the AI² Framework—Artificial Intelligence for Augmenting Intelligence—participants will evaluate prompts through a learning lens and explore how AI can reduce uncertainty, support understanding, and enhance learning without replacing the productive thinking that leads to deeper understanding. Participants will also consider how different prompt designs align with different learning goals and how AI can be used to support learning rather than simply generate answers.
Attendees will leave with a practical framework and classroom-ready strategies that can be used immediately by both teachers and students to design more effective AI interactions that support understanding, independence, and meaningful learning.

Facilitated By

Kenshin Hitengoku

Head of Science and Technology, Khon Kaen Vithes Suksa Bilingual School

Kenshin Hitengoku (H) is an educator and Head of Science and Technology at KKVS in Thailand, where he teaches Physics, Astronomy, STEM, Robotics, and Coding. His work focuses on helping students develop curiosity, critical thinking, and practical problem-solving skills in an increasingly technology-driven world.

He holds academic backgrounds in physics, environmental science, education, and climatology, and is currently pursuing a PhD focused on education and the changing pace of scientific and technological advancement throughout history.

He is especially interested in how artificial intelligence can support learning without replacing student thinking. His classroom work centers on responsible AI use, interdisciplinary learning, and helping students build the critical thinking skills needed to navigate a rapidly evolving technological world.

He is passionate about creating engaging, realistic, and future-focused learning experiences that encourage students to think deeply, question carefully, and use technology responsibly.