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Students are the Curriculum and the Community is the School

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W109A

Idea Lab
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Session description

This session demonstrates how to use interests as the curriculum by connecting learners with local experts who share those interests. Educators explore how to build these relationships and design impactful interdisciplinary learning. Participants leave with practical strategies to center interest, deepen relationships, and create meaningful learning experiences beyond the classroom.

Outline

Session Outline (90 Minutes)

1. Pick Me Up: Leading with Interests (10 min)
Participants reflect on their own passions using prompts around interests, relationships, and learning practices. They connect this to student interests and community expertise.

2. Community of Practice Values (3 min)
Brief review of group norms focused on collaboration, brave spaces, and shared learning. Participants reflect on how to create these conditions in their own settings.

3. Context Builder: Students as Curriculum, Community as School (10 min)
Introduction to the Interests + Relationships + Practice framework. Includes examples from New Image Youth Center and student stories. Participants consider application in their context.

4. Student Presentations of Learning (30 min)
Students lead 20-minute mini-lessons on their passions followed by 10 minutes of Q&A and feedback. Participants observe interest-driven teaching in action.

5. Reflection & Implications (10 min)
Guided reflection on engagement, assumptions about expertise, and shifts needed in systems, culture, and learning design.

6. AI-Powered Project Ideation & Competency Alignment (20 min)
In small groups, participants use AI tools to generate interest-based project ideas, align them to competencies, and identify possible expert partners. Groups share takeaways.

7. Final Reflection: Translate to My World (7 min)
Participants reflect on rigor, barriers, opportunities, and one change they can implement immediately to honor student passions.

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Outcomes

Attendees will leave with resources for designing interest-driven, real-world learning experiences powered by AI. This includes:

A protocol for using AI to map and analyze student interests

An AI-assisted process for identifying local or virtual experts aligned with those interests

A draft outline for a meaningful project co-designed with AI prompts that connect student passion, real-world impact, and competency goals

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Supporting research

Works Cited
Barron, B. J. S., Schwartz, D. L., Vye, N. J., Moore, A., Petrosino, A., Zech, L., & Bransford, J. D. (1998). Doing with understanding: Lessons from research on problem- and project-based learning. Journal of the Learning Sciences, 7(3–4), 271–311. https://doi.org/10.1080/10508406.1998.9672056
Bayly-Castaneda, K., Ramirez-Montoya, M.-S., & Morita-Alexander, A. (2024). Crafting personalized learning paths with AI for lifelong learning: A systematic literature review. Frontiers in Education, 9, Article 1424386. https://doi.org/10.3389/feduc.2024.1424386
Carpenter, D. (2006). Modeling the charter school landscape. Journal of School Choice, 1(2), 47–82. https://doi.org/10.1080/00098659809599369
Chen, C.-H., & Yang, Y.-C. (2019). Revisiting the effects of project-based learning on students’ academic achievement: A meta-analysis investigating moderators. Educational Research Review, 26, 71–81. https://doi.org/10.1016/j.edurev.2018.11.001
Dozier, L., & Libby, M. (2024). Student-centered learning at Dozier-Libbey Medical High School: A case study. Learning Policy Institute. https://learningpolicyinstitute.org/sites/default/files/2024-04/Student_Centered_Learning_Dozier_Libby_Scope_CaseStudy.pdf
Friedlaender, D. (2014). Student-centered learning: City Arts and Technology High School. Stanford Center for Opportunity Policy in Education. https://uj9.a82.myftpupload.com/wp-content/uploads/2021/12/SCOPE-Student-Centered-Learning-City-Arts-final.pdf
Getting Smart. (2020). Early lessons from the Real World Learning initiative. Getting Smart. https://www.gettingsmart.com/2020/12/early-lessons-from-the-real-world-learning-initiative/
Green, C., & Harrington, C. (2021). Student-centered learning in Michigan K-12 schools: Factors that impact successful implementation. Michigan Virtual University. https://michiganvirtual.org/research/publications/student-centered-learning-in-michigan-k-12-schools-factors-that-impact-successful-implementation/
Kaput, K. (2018, January). Evidence for student-centered learning. Education Evolving. https://files.eric.ed.gov/fulltext/ED581111.pdf
Kim, S.-E. (2005). Effects of implementing performance assessments on student learning: Meta-analysis using HLM (Doctoral dissertation, The Pennsylvania State University). Retrieved from https://etda.libraries.psu.edu/files/final_submissions/5566
Kokotsaki, D., Menzies, V., & Wiggins, A. (2016). Project-based learning: A review of the literature. Improving Schools, 19(3), 267–277. https://doi.org/10.1177/1365480216659733
Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Englewood Cliffs, NJ: Prentice-Hall.
Kolb, D. A. (2015). Experiential learning theory. Upper Saddle River, NJ: Pearson Education.
Krajcik, J., Schneider, B., Miller, E. A., Chen, I.-C., Bradford, L., Baker, Q., Bartz, K., Miller, C., Li, T., Codere, S., & Peek-Brown, D. (2022). Assessing the effect of project-based learning on science learning in elementary schools. American Educational Research Journal, 60(1), 70–102. https://doi.org/10.3102/00028312221129247 (Original work published 2023)
Learning Policy Institute. (2024). Redesigning High School: 10 Features for Success. https://www.redesigninghighschool.org/
Makkonen, R. (2004). Advisory program research and evaluation. Horace, 20(4). Retrieved from https://docsbay.net/doc/1201530/advisory-program-research-and-evaluation
Morgan, H. (2025). Using performance assessments instead of high-stakes tests: A promising strategy for a better future. Policy Futures in Education, 0(0). https://doi.org/10.1177/14782103251328406
Pane, J. F., Steiner, E. D., Baird, M. D., & Hamilton, L. S. (2015). Continued progress: Promising evidence on personalized learning. RAND Corporation. https://www.rand.org/pubs/research_reports/RR1365.html
Reber, R., Canning, E. A., & Harackiewicz, J. M. (2018). Personalized education to increase interest. Current Directions in Psychological Science, 27(6), 449–454. https://doi.org/10.1177/0963721418793140
Saavedra, A. R., Lock Morgan, K., Liu, Y., Garland, M. W., Rapaport, A., Hu, A., Hoepfner, D., & Haderlein, S. K. (2022). The impact of project-based learning on AP exam performance. Educational Evaluation and Policy Analysis, 44(4), 638–666. https://doi.org/10.3102/01623737221084355 (Original work published 2022)
Vlachopoulos, D., & Makri, A. (2024). A systematic literature review on authentic assessment in higher education: Best practices for the development of 21st-century skills and policy considerations. Studies in Educational Evaluation, 83, Article 101425. https://doi.org/10.1016/j.stueduc.2024.101425

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Presenters

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Director
Education Knowledge Broker Network
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National Director for Partnerships
Big Picture Learning

Session specifications

Topic:

CTE, College, and Career Readiness

Grade level:

PK-12

Audience:

District-Level Leadership, School Level Leadership, Teacher

Attendee devices:

Devices required

Attendee device specification:

Smartphone: Android, iOS, Windows
Laptop: Chromebook, Mac, PC
Tablet: Android, iOS, Windows

Participant accounts, software and other materials:

Their favorite Gnereative AI: ChatGPT, Gemini, Claude, etc.

Subject area:

Interdisciplinary (STEM/STEAM)

ISTE Standards:

For Education Leaders: Equity and Citizenship Advocate
For Educators: Collaborator
For Students: Innovative Designer

Transformational Learning Principles:

Connect Learning to Learner, Prioritize Authentic Experiences

Additional detail:

Student presentation