Overview
This program aims to engage professionals in exploring the benefits and challenges of using AI in education. Through the course, gain exposure to AI tools to support teaching and learning, as well as develop a greater capacity to perceive the nuances and dilemmas of this technology, pedagogy, and its effect on education.
You will engage in a series of live virtual workshops where you will design learning activities and experiences that you intend to implement in your own classroom.
Program Details
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4 CEs University of Pennsylvania Continuing Education Credits
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120 Pennsylvania ACT 48 Credits
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December 2026 Grades will be awarded
About the Program
Implementing AI in the Classroom is a professional learning program that goes beyond the basics — giving educators a structured, hands-on curriculum they can put to work right away.
All participants must complete the 10-hour asynchronous prerequisite module before attending the first live session on September 15. The prerequisite consists of five self-paced activities totaling approximately ten hours.
| # | Prerequisite Topic Title | Monday Action / Deliverable | Time |
|---|---|---|---|
P1 | What AI Is, and What It Means for Education | Test three claims about AI in your subject area; record findings. | ~2 hrs |
P2 | The Educator's Core Toolkit | Run one task through two tools; pick a primary; write one sentence on why. | ~2 hrs |
P3 | Prompting Is the New Lesson Planning (CLASS) | Write five CLASS prompts for real tasks; begin Prompt Library. | ~2 hrs |
P4 | The Hidden Architecture of an Educator's Day | Complete a five-day time audit; identify three AI friction points and three must-nots. | ~2 hrs |
P5 | Responsible AI in the Classroom: Your Monday Policy | Draft, sign, and share your one-page classroom AI policy. | ~2 hrs |
Participants who arrive at Session 1 on September 15 without the prerequisite portfolio (prompt library, five-day time audit, one-page classroom AI policy) will spend the first three live sessions catching up. These three artifacts are required at the first live session.
Built around the Educator Value Chain, a nine-step framework that mirrors how teachers actually work, every module maps directly to a real task in your day-to-day practice. Learning is designed as a progressive funnel that follows your natural workflow from start to finish, culminating in a real implementation project you bring back to your classroom.
The program uses a flipped learning approach: theoretical content is consumed asynchronously before each session, and live class time is dedicated exclusively to practice, case studies, and peer collaboration. Each asynchronous module follows a consistent template:
Intro video (5–10 min instructor contextualization)
Reading or resource (curated article, paper, or guide)
Tool tutorial (step-by-step walkthrough of the module's featured tool)
Hands-on activity (direct application in the educator's own context)
Deliverable (artifact that feeds into the final portfolio)
Reflection forum (asynchronous peer discussion)
Module Overview
Each of the 8 modules corresponds to one link in the Educator Value Chain. Sessions run 5:00–7:00 p.m. ET.
# | Module Title | Description | Key Tools | Value Chain |
M1 | Opening: Educator Value Chain & AI Revolution | Program roadmap, pain point identification, demo of key AI tools. | ChatGPT, Claude, Gemini, Perplexity | Framework |
M2 | Read the Need: Understanding Students with AI | Student data analysis, rapid diagnostics, personalization strategies. | Elicit, NotebookLM, Perplexity, Claude | Step 1 |
M3 | Design Learning Experiences with AI | AI-assisted instructional design: objectives, sequences, rubrics. | Magic School, Gamma, Claude, ChatGPT | Step 2 |
M4 | Prepare the Environment & Facilitate Learning | Material creation, platform setup, AI-augmented classroom dynamics. | Suno, NapkinAI, Gamma, Canva AI, NotebookLM | Steps 3-4 |
M5 | Assessment & Evidence with AI | Assessment design, smart rubrics, learning evidence analysis. | Claude, ChatGPT, Magic School, Elicit | Step 5 |
M6 | Feedback & Intervention with AI | Automated feedback, early detection, differentiated intervention. | Claude, ChatGPT, Perplexity, NotebookLM | Step 6 |
M7 | Administration, Compliance & Coordination | Report automation, family communication, documentation. | ChatGPT, Claude, NapkinAI, Gamma | Steps 7-8 |
M8 | Continuous Improvement & Scaling with AI | Data-driven reflection, iterative redesign, PD, and innovation. | Elicit, Perplexity, NotebookLM, Claude | Step 9 |
Final Project — Grand Finale
The capstone experience brings together every strand of learning. Each participant designs and implements a complete AI-enhanced learning unit that spans at least three links of the Educator Value Chain, then presents it in a structured showcase.
Capstone Project Requirements
Each project must include all of the following:
AI-powered student needs assessment
Instructional design using at least two AI tools
Automated assessment and/or AI-driven feedback mechanism
Reflection on ethics, risks, and pedagogical decision-making
Presentation Format
10-minute presentation followed by 5-minute Q&A
Structured peer feedback using a shared rubric
Rubric aligned to the Educator Value Chain framework
Final Deliverable Package
Participants submit a complete portfolio at the conclusion of the program:
Digital portfolio containing artifacts produced in each module
Implementation plan with realistic timeline
Written reflection on expected impact in the educator's own context
Upon successful completion of the certificate, you’ll be able to:
Upon completing the program, participants will be able to:
Map their own value chain as an educator and identify where AI creates the greatest impact.
Use generative and agentic AI tools for diagnostics, instructional design, assessment, and feedback.
Design learning activities that integrate AI in an ethical, intentional, and student-centered way.
Automate administrative and compliance tasks to reclaim high-value pedagogical time.
Build a digital portfolio with applied artifacts from each link of the Educator Value Chain.
Implement and present a complete AI-enhanced learning unit.
Fall 2026 Schedule
| Dates | Time Commitments | Session |
|---|---|---|
| September 15, 2026 | 5:00-7:00 p.m. (ET) | The Educator Value Chain & the AI Revolution |
| September 22, 2026 | 5:00-7:00 p.m. (ET) | Read the Need – Understanding Your Students with AI |
| September 29, 2026 | 5:00-7:00 p.m. (ET) | Design Learning Experiences with AI |
| October 6, 2026 | 5:00-7:00 p.m. (ET) | Prepare the Environment & Facilitate Learning with AI |
| October 13, 2026 | 5:00-7:00 p.m. (ET) | Assessment & Evidence with AI |
| October 20, 2026 | 5:00-7:00 p.m. (ET) | Feedback & Intervention with AI |
| October 27, 2026 | 5:00-7:00 p.m. (ET) | Administration, Compliance & Coordination with AI |
| November 3, 2026 | 5:00-7:00 p.m. (ET) | Continuous Improvement & Scaling with AI |
| November 17, 2026 | 5:00-7:00 p.m. (ET) | Grand Finale - Project Presentations |
Take the Next Step
Simply click the Register Now button to create an account and submit an application. Or if you need more information to make an informed decision we encourage you to click Request Information.
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