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Participants will gain strategies for implementing the design thinking process into their current work to support authentic problem-solving.
Participants will be able to identify key concepts related to AI technologies and view examples of how they support innovative problem-solving.
Participants will gain access to assessment tools we use to provide students with descriptive feedback and evaluate student work throughout the design thinking process.
Participants will gain strategies for developing a process any school system can use to develop a strong foundation for inclusive maker learning and design thinking across the curriculum that infuses opportunities to learn about AI technologies.
I. Introduction (5 Minutes)
Brief Overview
Introduction of the session
Importance of design thinking and examples of AI in problem-solving
II. Understanding Design Thinking (15-20 Minutes)
Defining Design Thinking
Essential principles and stages
Explore examples of Authentic Problem Solving in K-12
Overview of how AI can enhance design thinking processes and teach additional skills
III. Exploring AI Capabilities and Possible Risks (10 Minutes)
Introduction to AI
Brief overview of on what AI is and examples of features of AI
AI and Ethics
Interactive activity on how to engage students in learning about the ethical considerations while using AI
IV. Design Thinking and AI: Methods and Resources (10 Minutes)
Effective Methods
Provide and Strategies for implementing design thinking and AI in solving authentic problems
Share resources, tools, and platforms teacher can use to integrate these principles in their work
Engage participants in a short Hands-on Quick interactive activity using a tool/platform to engage in a design exercise
V. Supporting Learner Variability and Diversity (5-7 Minutes)
Inclusive Learning Environments and Makerspaces
Strategies for creating inclusive design thinking learning expereince
Adapting to Learner Needs
Tools and methods to support diverse learning needs
VI. Examples from our Classrooms (5 Minutes)
Sharing Success Stories: Review of examples of student work and reflections
Learning from Challenges
Overview of common hurdles and ways to overcome them
VII. Q&A and Closing Remarks (5 Minutes)
Closing Thoughts
Summary and encouragement for implementation
Feedback and Evaluation: Request for participant feedback on the session
Answer questions
https://digitalpromise.org/initiative/maker-learning/
http://www.cast.org/publications/2020/udl-tips-designing-learning-experiences
There are many different ways to engage students in authentic problem solving and creation within different disciplines. There are some resources that support how this can be done and why it is important: http://smumakeredproject.org/uploads/pdf/SMUMaker_Resources_8.5x11.pdf
How Design Thinking and Making Supports Learning and development for career success : https://hbr.org/2018/09/why-design-thinking-works
http://news.mit.edu/2015/3-questions-martin-culpepper-making-future-makers-1222
Next Generation Science Standards: http://www.nextgenscience.org/search-standards
AI4K12: An initiative to develop guidelines for teaching AI in K-12. It provides a framework and resources for educators.
Google's AI for Everyone (Coursera): Though primarily for beginners in AI, educators can extract teaching strategies from this course.
OpenAI: Offers detailed articles and research papers about the state and future of artificial intelligence.
https://www.mindspark.org/ibm-ai
ISTE COMPUTATIONAL THINKING COMPETENCIES
Scratch: Developed by MIT, it's a beginner-friendly platform that allows students to code their own interactive stories, games, and animations. They've incorporated AI extensions as well.
Teachable Machine by Google: A tool that allows you to train a machine using your webcam, live in the browser without any code.
Our session is also aligned to The CSTA K–12 Computer Science Standards