Four questions for AI in education
How I moved from a broad idea to four areas I can explore through teaching, building, and studying.
“Students need to learn to use AI” used to leave me with more questions than answers. I agreed with the direction, but I couldn't see clearly what I should work on as a pre-service teacher.
Attending Claude Build Day Seoul helped me organize that question into four connected areas. This is the framework I am developing for my own work.
AI literacy for everyone
What should someone understand to make useful choices about AI? I think about this while explaining AI to my family. Knowing how to open a chatbot is a beginning. Explaining what you want, giving it useful context, and deciding whether to trust an answer are harder to teach.
AI for educators
What would help teachers turn an idea into a lesson they can actually use? I am working on this through ZZAIM. Teachers can review proposed revisions and export the version they approve as an editable HWPX document, a Korean word-processing format. Integrating HWPXKit's document engine helped connect lesson planning with that practical output.
AI for learners
I am still a student, so my own studying gives me a place to explore this. I use AI in my coursework and keep asking what it helps me understand, and what I still need to work through myself. My experience as one learner is a starting point for questions about others.
AI for education systems
How could lesson design and assessment inform each other? One direction I am exploring for ZZAIM is a table of specifications: a plan that connects learning objectives with what an assessment asks students to demonstrate. This is a future direction for the project.
The four areas help me choose a more concrete next question. Explaining AI to a family member, designing a lesson, studying a topic, and connecting teaching with assessment involve different needs. I want the tools I build to grow from those differences.