Experimenting with GenAI

Designing Learning Experiences

1. There is no universal rule for blending human and AI instruction; it must be balanced for each activity or project, ensuring that students are guided by teachers.
2. Detailed human input is crucial for AI to produce quality output; generic instructions yield poorer results.
3. AI can generate quality questions for assessment and assist in text analysis, with human oversight for modifications.
4. AI helps teachers create lesson plans and materials tailored to individual student needs.
5. It serves as a tool to personalize learning, for example, by customizing stories for students based on their reading level and interests, and saving teachers time.
6. A group of teachers and administrators is currently testing different AI tools, with plans to share feedback to enhance the teaching toolkit and staff training.
7. AI can support various tasks such as searching information, creating images, presenting, and correction tools.
8. Individualized learning is perceived as necessary but challenging with large classes.
9. AI aids in initial idea generation and supports student evaluations.
10. The quality of tools is variable and often discovered anecdotally.
11. Teachers use AI for lesson planning, aligning to standards, creating assessments, and administrative tasks.
12. Upper secondary teachers have used AI as a collaborative tool in study planning.
13. Empirical evidence from teachers experimenting with AI tools indicates benefits in creating subject-relevant lesson plans and activities.