Chasing Unicorns: Designing Practical Solutions and Personalizing Learning with AI

Outline

In this session, participants will learn more about how they can attend to the problems and promises of AI by using AI with students. Participants will engage in interactive demonstrations of SchoolAI spaces and have the opportunity to explore real examples of successful AI integration in classrooms in Griswold Public Schools. As they are guided through the hands-on process of creating a personalized learning module using AI tools, participants will engage in collaborative discussions and be able to receive peer feedback. Throughout the session, participants will see how SchoolAI can be used to design engaging and tailored lessons for diverse learners and discuss the role and potential of AI in transforming traditional assignments into personalized learning experiences.

Outline:
1. Introduction (5-7 minutes)
a. Share the “problems of practice” in Griswold Public Schools when AI surfaced, and the vision that led to solutions.
b. Connect more broadly to AI's impact on education: problems and promises.
c. Poll audience on concerns/challenges faced with student use of AI.
d. Provide an overview of the session; outline objectives, terms and concepts.
2. Interactive Demonstration (10-15 minutes)
a. Show the “before”: original learning module that one teacher had
b. Introduce the process of shifting the design and provide a live demonstration of SchoolAI features and tools in the context of the sample learning module.
c. Participants engage in a sample SchoolAI space with personal devices to see how AI personalizes experiences for learners
3. Hands-On Creation (25 minutes)
a. Participants analyze one of a selection of REAL examples of learning modules incorporating AI (and shift from traditional).
b. Participants create their own personalized learning modules referring to the examples and model design process, including planning key AI experiences.
c. Peer-to-Peer Interaction: Encourage participants to work in pairs or small groups during the creation phase for enhanced collaboration.
4. Collaborative Sharing (10 minutes)
a. Group discussions and sharing of created modules.
b. Gather feedback and explore classroom applications.
5. Conclusion and Q&A (5 minutes)
a. Recap key takeaways and future possibilities of AI in education.
b. Open floor for questions and additional resources.

Supporting research

Ayeni, O. O., Hamad, N. M. A., Chisom, O. N., Osawaru, B., Adewusi, O. E., Ayeni, O. O., Hamad, N. M. A., Chisom, O. N., Osawaru, B., & Adewusi, O. E. (2024). AI in education: A review of personalized learning and educational technology. GSC Advanced Research and Reviews, 18(2), 261–271. https://doi.org/10.30574/gscarr.2024.18.2.0062

Fitzpatrick, D., Fox, A., and Weinstein, B. (2023). The AI Classroom: The Ultimate Guide to Artificial Intelligence in Education. Beech Grove: IN. TeacherGoals Publishing

Novak, K. and Tucker, C. (2021). UDL and blended learning: Thriving in flexible learning landscapes. San Diego: CA. IMpress.

Rane, N., Choudhary, S., & Rane, J. (2023). Education 4.0 and 5.0: Integrating Artificial Intelligence (AI) for Personalized and Adaptive Learning. Social Science Research Network. https://doi.org/10.2139/ssrn.4638365