What's possible when educators with no coding background use AI tools to build custom solutions? This presentation visually documents how educators can move from technology consumer to creator using AI development tools. My journey began with multi-level ESL students needing quick personalized feedback in a test prep class. Google Forms and existing tools didn't address the needs for my specific context, so I learned to collaborate with AI tools to build what my students needed. Through this development process, I built an application grounded in Zimmerman's Self-Regulated Learning model and Flavell's metacognition theory that delivers timed metacognitive reflection prompts during class, analyzes student responses, and delivers personalized task recommendations by session end, freeing me to focus on meaningful one-on-one coaching and responsive instruction. AI is constrained to a validated educator-designed task bank, ensuring complete pedagogical control. AI handles pattern recognition, response mapping, and delivery while I maintain instructional decision-making. This visual documentation displays the complete development journey using design thinking methodology. It demonstrates key breakthrough moments and problem-solving strategies, creating a replicable roadmap for other educators. Take-away resources empower attendees to begin AI-assisted development journeys, moving beyond waiting for perfect solutions to instead creating technology that serves their students' specific needs while maintaining educator agency.

Authors:
Vanessa Balagtas, Hawaii Tokai International College, United States

About the Presenter(s)
Vanessa Balagtas is an Associate Professor at Hawaii Tokai International College. Her current interests include AI in education and educator-led technology development.

See this presentation on the full schedule – Monday Schedule

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