Empowering Schools with Smart Energy: AI-Driven Optimization for Sustainable Classrooms

Monday, June 29, 2026 1:00 PM to 2:30 PM · 1 hr. 30 min. (America/New_York)
Poster
Digital Citizenship

Information

Empowering Schools with Smart Energy” leverages AI to optimize energy consumption in classrooms, analyzing usage patterns of lights, projectors, and HVAC systems. This innovative platform empowers educators to implement sustainable practices, reduce costs, and foster an eco-friendly learning environment, aligning with ISTELIVE's commitment to enhancing educational experiences through technology
Role Based Tracks
All LeadersLeaders - School (Principals)Leaders - TechnologyTeachersInstructional CoachesLibrariansCounselors
Grade Level
PK-12
Transformational Learning Principles
Connect Learning to LearnerPrioritize Authentic Experiences
ISTE Standards
Coaches: Change Agent: Create a shared vision and culture for using technology to learn and accelerate transformation through the coaching process.Coaches: Data-Driven Decision-Maker: Support educators to interpret qualitative and quantitative data to inform their decisions and support individual student learning.Coaches: Learning Designer: Collaborate with educators to develop authentic, active learning experiences that foster student agency, deepen content mastery and allow students to demonstrate their competency.
Delivery/Output
In Person
Subject
Interdisciplinary (STEM/STEAM)
Skill Level
Intermediate
Outline
I. Introduction (10 minutes) Content: Brief overview of the session objectives and relevance of AI in optimizing energy consumption in classrooms. Engagement: Icebreaker activity where participants share their current practices related to energy use in their classrooms. Process: Use a polling tool (e.g., Mentimeter) to gather initial thoughts on sustainability goals. II. Understanding AI-Driven Energy Optimization (20 minutes) Content: Explanation of how AI can analyze energy usage patterns and optimize consumption. Key concepts: AI Basics, Energy Consumption Patterns, Benefits of Optimization. Engagement: Interactive discussion on the potential impact of AI on classroom environments. Process: Small group discussions to brainstorm potential AI applications in their own settings (5 minutes). III. Designing Authentic Learning Experiences (25 minutes) Content: Steps to create learning experiences that incorporate energy data. Examples of project-based learning activities related to energy conservation. Engagement: Participants work in pairs to design a draft lesson plan that utilizes energy data. Process: Share and receive feedback within pairs, followed by a gallery walk where groups can display their ideas on flip charts (10 minutes). IV. Data Analysis for Informed Decision-Making (15 minutes) Content: Introduction to tools and methods for analyzing energy consumption data. Overview of qualitative and quantitative data interpretation. Engagement: Hands-on activity where participants explore sample data sets. Process: Use of breakout rooms for small group analysis, guided by a set of questions to facilitate discussion (5 minutes). V. Creating an Action Plan (15 minutes) Content: Steps for implementing energy optimization strategies in their classrooms. Components of an effective action plan. Engagement: Individual work time to draft a personalized action plan. Process: Participants share their plans with a partner for feedback (5 minutes). VI. Q&A and Wrap-Up (5 minutes) Content: Open floor for questions and clarification on any topics discussed. Engagement: Encourage participants to share final thoughts or commitments they are making based on the session. Process: Utilize a final poll to gauge what participants found most valuable and what next steps they plan to take. Summary of Engagement Tactics Peer-to-Peer Interaction: Small group discussions, pair work, and gallery walks to encourage collaboration. Device-Based Activities: Use of polling tools and data analysis software for interactive learning. Hands-On Activities: Drafting lesson plans and action plans to ensure practical application of concepts.
Supporting research
1. Bültemann, M., Rzepka, N., Junger, D., Simbeck, K., & Müller, H.G. (2023). Energy Consumption of AI in Education: A Case Study. ResearchGate. [https://www.researchgate.net/publication/376415352_Energy_Consumption_of_AI_in_Education_A_Case_Study] 2. Crompton, H., & Burke, D. (2024). The Nexus of ISTE Standards and Academic Progress: A Mapping Analysis of Empirical Studies. ResearchGate. [https://www.researchgate.net/publication/381279928_The_Nexus_of_ISTE_Standards_and_Academic_Progress_A_Mapping_Analysis_of_Empirical_Studies] 3. Illinois College of Education. (2024, October 24). AI in Schools: Pros and Cons. [https://education.illinois.edu/about/news-events/news/article/2024/10/24/ai-in-schools--pros-and-cons] 4. ISTE. (n.d.). Standards. [https://iste.org/standards] 5. Junger, D.M., Bültemann, M., Rzepka, N., Simbeck, K., & Müller, H.G. (2023). Energy Consumption of AI in Education: A Case Study. ResearchGate. [https://www.researchgate.net/publication/376415352_Energy_Consumption_of_AI_in_Education_A_Case_Study] 6. MDPI. (2024). Education for Sustainable Development: What Matters? MDPI. [https://www.mdpi.com/2071-1050/16/21/9493] 7. Teachflow.AI. (2023, May 8). The Role of AI in School Energy and Power Generation. [https://teachflow.ai/the-role-of-ai-in-school-energy-and-power-generation/] 8. TXU Energy. (2025, February 4). Leveraging AI to Improve Your School’s Energy Efficiency. [https://txuenergy.myenergysites.com/content/TXUEnergy/leveraging-ai-to-improve-your-schools-energy-efficiency?spaceId=dfe6f5e0ab6d43e9849f034552077ee9] 9. U.S. Department of Education. (2023). Artificial Intelligence and the Future of Teaching and Learning. [https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf] 10. National Education Policy Center. (2023). Artificial Intelligence in Education: Insights and Implications. [https://nepc.colorado.edu/publication/artificial-intelligence-education
Audience
School Level LeadershipTeacher DevelopmentTechnology Coach/Trainer
Attendee Devices
Devices required
Attendee Device Specification
Laptop: MacLaptop: PCSmartphone: AndroidSmartphone: iOSSmartphone: Windows
Presenter Type
Student Presentation

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