AI in K-12 Education: Transforming Teaching and Learning in the Classroom
Who should attend?
This course is perfect for K-12 educators who are ready to explore and apply the power of Generative AI in their teaching. Whether you're looking to boost student engagement, streamline your teaching processes, or create more personalized learning experiences, this course will provide you with the necessary knowledge and skills.
What you'll learn
-
Learning outcomes
By the end of this course, you will be able to:
- Gain in-depth knowledge of how Generative AI operates, including its algorithms, models, and mechanisms specific to educational applications.
- Develop the skills to effectively integrate and utilize Generative AI tools in curriculum development, personalized learning, and assessment strategies.
- Learn how to employ Generative AI to create dynamic and engaging learning experiences that cater to the diverse needs of students.
- Master the use of Generative AI in designing and automating assessments, providing immediate, personalized feedback to students.
- Discover strategies for leveraging Generative AI to streamline administrative tasks, freeing time to focus on teaching and student engagement.
- Understand how to analyze data generated by AI tools for informed decision-making about curriculum adjustments, teaching methodologies, and student support.
- Cultivate a critical understanding of the ethical implications of using AI in education, including privacy, bias, and ensuring digital literacy among students.
- Develop a plan for ongoing learning and adaptation of new Generative AI tools and resources as they evolve in the field of education.
-
Week 1: Introduction and overview of Generative AI and its underlying principles
- Foundational Concepts: Explore the basics of Generative AI, including its definition, key technologies, and the principles that govern its functionality and development.
-
Week 2: Prompt Engineering - How it works and best practices
- Understanding Prompt Engineering: Delve into the fundamentals of prompt engineering, exploring how precise inputs can guide Generative AI to produce desired outputs tailored for educational purposes.
- Best Practices and Applications: Learn the best practices for crafting effective prompts in educational settings, including creating dynamic learning materials, formulating assessment questions, and encouraging critical thinking among students.
-
Week 3: Generative AI Lesson Planning
- Innovative Lesson Design: Learn how to use Generative AI to design creative and personalized lesson plans that cater to the diverse learning styles and needs of students, incorporating AI-generated content and activities.
-
Week 4: Generative AI Content Development
- Introduction to Diverse AI Content Generators: Learn about the vast capabilities of Generative AI in producing varied educational content, including images, audio, and slideshows tailored for educational purposes.
- Hands-on Exploration: Engage in practical demonstrations and exercises to explore and understand how to leverage different Generative AI applications for creating dynamic and impactful educational materials.
- Application in Education: Gain insights into the innovative ways Generative AI can be utilized to enhance teaching materials, making learning more interactive and accessible to students.
-
Week 5: Generative AI Differentiated Instruction
- Tailored Learning Experiences: Learn how to use Generative AI to analyze student performance data and create customized learning pathways that accommodate the unique learning styles, preferences, and needs of each student.
-
Week 6: Generative AI Assessment, Feedback and Reporting
- Generative AI for Diverse Assessment Forms: Learn to use Generative AI to design assessments for learning (to guide teaching), as learning (to engage students in assessment), and of learning (to evaluate student progress), enhancing both formative (ongoing) and summative (final) assessments.
- Automated Feedback and Personalized Reporting: Master the creation of automated, immediate feedback through exit tickets and customized rubrics, and generate insightful comments for report cards, utilizing Generative AI to analyze and summarize student performance data effectively.
-
Week 7: AI and Digital Citizenship
- Understanding Digital Citizenship in the AI Era: Explore the concept of digital citizenship and its evolution with the advent of AI technologies, emphasizing responsible use, digital ethics, and the impact on society.
- AI's Role in Promoting Responsible Digital Behavior: Learn how Generative AI can be used to teach and reinforce digital citizenship among students, including privacy management, understanding AI biases, and fostering online safety and respect.
-
Week 8: Building a GPT and Exploring AI Tools
- Building Your Own GPT: Learn the step-by-step process of creating a Generative Pre-trained Transformer (GPT) tailored for educational purposes, including selecting training data, model training, and fine-tuning techniques.
- Exploring AI Tools for Educators: Discover a broad spectrum of AI tools beyond GPT, including content generators, grading automation, and interactive learning platforms, and understand how to integrate them into various teaching and learning contexts.
Course information
Winter 2025
| AI in K-12 Education: Transforming Teaching and Learning in the Classroom | Thursday's from 6:00 - 8:00 pm: Thursday, February 6 to Thursday, March 27, 2025 | 6 to 8 p.m. |
|---|
Winter 2025
| Registration fee | Registration status |
|---|---|
| $650 CAD + HST |
|
Registration for this course is through a secure online registration form. All course fees must be paid at the time of registration.
Discounts
Ontario Tech University students, alumni and staff are elligible for a discount on this program.
Please contact continuouslearning@ontariotechu.ca with your Student/Banner ID before registering for details on how to apply this discount.
Weekly course meeting times allow for an ongoing, practical learning cycle with individualized mentoring and feedback. Learn new concepts virtually, plan and implement these concepts on your own throughout the week, then debrief and reflect on your experience with the instructor and your peers in the next class to cement your learning. You will also create a portfolio of your work to demonstrate your new skills.
Those completing the Generative AI in K-12 Education: Enhancing Teaching and Learning in the Ontario Classroom course are subject to the policies of Ontario Tech University and Continuous Learning. Ontario Tech policies can be found in the Policy Library. Continuous Learning policies can be found in the Regulations section of the Continuous Learning website. Specifically, those completing the Generative AI in K-12 Education: Enhancing Teaching and Learning in the Ontario Classroom course are expected to adhere to the General and Open enrolment regulations.
Requirements
Though this course is open to all, it is expected that all learners in this course have post-secondary education and/or industry experience relating to teaching curriculum for grades 1 to 12.
Suitability for registration in this course is at the learner's discretion.
To obtain the Certificate, the participant must:
- Register and make full payment;
- Attend each (i.e. all eight) required online session;
- Actively participate in each (i.e. all eight) of each online sessions (including group discussions and debriefs);
- Successfully complete the final project (portfolio).
- Attendance requirements
Learners must attend and actively participate in all eight (8) virtual in-class sessions (including group discussions and debriefs). See the "Certificate requirements" section above for all requirements to obtain a University Certificate for this course.
|
Module Title |
Date and Time |
|
Week 1: Introduction and overview of Generative AI and its underlying principles |
April 17th - 6:00 - 8:00 pm |
|
Week 2: Prompt Engineering - How it works and best practices |
April 24th - 6:00 - 8:00 pm |
|
Week 3: Generative AI Lesson Planning |
May 1st - 6:00 - 8:00 pm |
|
Week 4: Generative AI Content Development |
May 8th - 6:00 - 8:00 pm |
|
Week 5: Generative AI Differentiated Instruction |
May 15th - 6:00 - 8:00 pm |
|
Week 6: Generative AI Assessment, Feedback and Reporting |
May 22nd - 6:00 - 8:00 pm |
|
Week 7: AI and Digital Citizenship |
May 29th - 6:00 - 8:00 pm |
|
Week 8: Building a GPT and Exploring AI Tools |
June 5th - 6:00 - 8:00 pm |
Online learning technology requirements:
- Computer with Internet access
- Stable internet or data connection
- Microphone
- Webcam
- Audio device (examples: speakers, headphones/earbuds, headset)
