Explore and create: Exploratory Creation lab 
Preregistration Required
This presentation aims to empower educators with the knowledge and skills to integrate AI education into their classrooms while addressing algorithmic bias and promoting equity. The session's objectives focus on participant outcomes:
1. Understanding AI in Education:
Educators will comprehend the current state of AI in the educational landscape.
Participants will gain insights into the role of AI in preparing students for a digitally connected, data-rich world.
2. Interdisciplinary Connections with AI:
Educators will explore examples of interdisciplinary connections between AI and various subjects.
Educators will recognize the benefits of integrating AI across disciplines and brainstorm potential interdisciplinary projects.
3. Algorithmic Bias Awareness:
Participants will define algorithmic bias and understand its potential impact on students.
Educators will grasp the significance of addressing bias to promote equity in AI education.
4. Hands-on AI Activities:
Educators will engage in interactive AI activities using various AI tools and resources.
Educators will gain practical experience with AI applications and reflect on the benefits and limitations of these activities.
5. Inclusive AI Lesson Design:
Educators will learn strategies for creating inclusive AI lessons that address algorithmic bias.
Educators will access resources and guidelines for developing equitable AI lesson plans and have time to brainstorm their own.
6. Collaborative Sharing and Reflection:
Participants will collaboratively share their inclusive lesson ideas via a crowdsourced file.
A brief reflection will help educators recap key takeaways and identify resources for further exploration.
Educational Challenge: The educational challenge addressed is the integration of AI education while ensuring equity and inclusivity. Educators often face barriers in navigating the AI landscape, addressing algorithmic bias, and creating inclusive AI lessons.
Technology Intervention: Various AI tools and resources will be introduced during hands-on activities, such as Teachable Machine, chatbots, and sample large language models. These tools will enable educators to explore AI functionalities directly.
Lesson Plans/Instructional Activities:
Interactive Peardeck or Similar Tool: Used for engagement and goal setting.
Notice and Wonder Activities: Encourage critical thinking and reflection.
Crowdsourcing Interdisciplinary Ideas: Promotes collaboration.
Hands-on AI Activities: Enable practical experience.
Inclusive Lesson Design Discussions: Facilitate sharing and brainstorming.
Crowdsourced Lesson Ideas: Promote collaboration and sharing.
How does AI integration with an anti-bias lens support student learning?
Anecdotal research suggests that integrating AI into the curriculum has made learning more engaging and relevant for students. AI activities and projects capture interest, as students interact with real-world applications and technologies. We have seen this engagement foster a deeper connection to various content areas, enhancing motivation and active participation in the learning process. Critical Thinking and Problem-Solving Skills: Incorporating AI prompts students to think critically and develop problem-solving skills. We see students encouraged to analyze data, identify patterns, and make informed decisions based on AI-generated insights. This process has nurtured their ability to approach complex problems, evaluate information, and apply creative solutions—an essential skill set in the digital age. Interdisciplinary Connections: The interdisciplinary nature of AI allows students to explore connections between different subject areas. By integrating AI into various disciplines, we see students develop a holistic understanding of how AI impacts different fields. This interdisciplinary approach fosters a broader perspective and encourages students to make connections across subjects. Collaboration and Communication: We have witnessed AI projects requiring collaboration and teamwork, fostering interpersonal skills and effective communication. Students work together to design and implement AI-based solutions, share ideas, and present their findings. Collaborative learning experiences promote effective communication, empathy, and cooperation—crucial skills for success in the digital era. Ethical Considerations and Algorithmic Bias Awareness: Addressing algorithmic bias in AI education encourages students to think critically about ethical considerations surrounding technology. We have witnessed students gain an awareness of the potential biases embedded in AI systems and learn to question and evaluate them. This cultivates a sense of responsibility, empathy, and fairness, empowering them to become responsible digital citizens who can navigate the ethical complexities of a data-rich world. Digital Literacy and Future Readiness: Integrating AI into the curriculum prepares students for a digitally connected future. They develop digital literacy skills, such as data analysis, computational thinking, and AI literacy, which are essential for success in the 21st century workforce.
I. Introduction (5 minutes)
Welcome and introduction to the session
Overview of the session's goals and objectives
participants engage via peardeck or other interactive tool to activate background knowledge and set their own personal learning goal.
II. State of AI (10 minutes)
Discuss the current landscape of AI in education
Highlight the importance of preparing students for a digitally connected, data-rich world based on reports from world economic forum (participants reflect on the research via notice and wonder activities)
III. Exploring Interdisciplinary Connections (10 minutes)
Educators experience examples of interdisciplinary connections with AI across various subjects
Discuss the benefits of integrating AI into different disciplines
Encourage educators to brainstorm potential interdisciplinary projects and activities
IV. Understanding Algorithmic Bias (5 minutes)
Define algorithmic bias and its potential impact on students
Emphasize the importance of addressing bias to promote equity in AI education Provide examples of algorithmic bias in real-world scenarios
V. Interactive AI Activities (15 minutes)
Engage educators in hands-on activities using AI tools and resources
Allow participants to explore AI applications and experience their functionalities firsthand
Encourage educators to reflect on the potential benefits and limitations of these activities
VI. Designing Inclusive AI Lessons (10 minutes)
Discuss strategies for creating inclusive lessons that address algorithmic bias Provide resources and guidelines for developing lesson plans that promote equity in AI education
Allow educators time to brainstorm and outline their own inclusive AI lesson ideas
VII. Sharing and Reflection (5 minutes)
Provide an opportunity for educators to share their inclusive lesson ideas via crowdsourced file
Encourage discussion and collaboration among participants
Facilitate a brief reflection on the session's key takeaways
Recap the main points covered in the session
Provide a list of additional resources for further exploration
Express appreciation to participants for their engagement and commitment to inclusive AI education
Strategies and techniques presented align to CSTA standards and national CS framework and other content area standards/framework documents, as well as guidance from California Department of Education and its recent guidance "Learning With AI, Learning About AI", documents regarding interdisciplinary connections for CS, and the AIK12 framework which is endorsed by CSTA (Computer Science Teachers Association) Philosophy on AI reflects report on AI from US Department of Education, particularly in regards to its emphasis on focus on humanity and AI's impacts of society. Session reflects strategies and content that garnered positive feedback via resources, panel discussions, and learning sessions provided to educators from California Department of Education, and CSforCA AI working group.
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