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Teaching with Smart Machines: An Advanced AI Workshop for Educators

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Colorado Convention Center, Bluebird Ballroom 3AB

Participate and share: Interactive session
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Presenters

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Kenneth Shelton
Founder and Principal
Elevate Education
@k_shelton
@kshelton
Over 20 years, Ken Shelton taught middle school technology. He served on an Education Technology Task Force created by a former California State Superintendent of Public Instruction and has worked at the policy level with several state departments of education, ministries, and nonprofits. Shelton speaks and leads workshops on educational technology, equity and inclusion, anti-racism, multimedia literacy, cultural intelligence, visual storytelling, and instructional design. His credentials include Apple Distinguished Educator, Microsoft Innovative Educator Expert, and Google Certified Innovator. He won ISTE awards in 2018 and 2022. He was also named an influencer to follow by EdTech Magazine.

Session description

Dive into the future of artificial intelligence and build digital fluency as we explore large language model uses. In this intermediate/advanced session, we'll explore linguistics and communication strategies through hands-on activities using an LLM. We'll also discuss practical and ethical ways to incorporate them into your teaching.

Purpose & objective

Participant outcomes in this session are as follows:

Learn bias mitigation techniques and natural language processing models that promote diversity and inclusion.

Develop an acute linguistics approach to effectively utilizing a Large Language Model platform

Develop sample lesson plans and instructional strategies for responsibly integrating AI through various prompts, including idea, feedback, exploratory, segmented, instructional, and the building blocks to generate a Super Prompt.

Leave equipped with concrete plans and strategies to integrate AI equitably to meet the needs of all learners.

Recognize common educational and infrastructure challenges around equitable access to AI technologies.

Enhance their own digital fluency in AI systems and ethical implementation.

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Outline

Introduction (5 mins)

Pre-assessment of AI knowledge, more specifically, Large Language Models
AI Landscape (10 mins)

Overview of major AI systems and capabilities
Bias Mitigation (15 mins)

Content: Techniques to mitigate bias in the results and promote inclusion
Process: Small group discussion, hands-on activities
Outcomes: Learn bias mitigation techniques using natural language processing models

Hands-On Prompting (30 mins)

Content: Crafting effective prompts for Large Language Model Systems
Process: Small groups draft prompts for different instructional strategies
Outcomes: Develop sample prompts and strategies for integrating AI responsibly. Acquire an acute linguistics approach to utilizing large language models. This section will include scenario-based context.

Ethics Conversation (10 mins)

Content: Responsible and equitable implementation
Implementation Planning (15 mins)

Content: Develop plan for classroom integration
Process: Individual reflection and goal setting
Outcomes: Leave with concrete plans to integrate AI equitably using prompts and strategies learned.

Wrap-Up (5 mins)

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Supporting research

Artificial Intelligence and the Future of Teaching and Learning, United States Department of Education

Mitigating Bias in Artificial Intelligence: An Equity Fluent Leadership Playbook, Haas School of Business, University of California, Berkeley

Artificial Intelligence in Education: Addressing Ethical Challenges in K-12 Settings. Selin Akgun and Christine Greenhow

AI For Educators, Matt Miller

Race After Technology: Abolitionist Tools for the New Jim Code, Ruha Benjamin

Weapons of Math Destruction, Cathy O'Neill

Algorithms of Oppression, Safiya Noble

Unmasking AI, Joy Boulamwini

The Algorithmic Justice League, website

Coded Bias, movie

The Coded Gaze, documentary

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Session specifications

Topic:
Artificial Intelligence
Skill level:
Intermediate
Audience:
Curriculum/district specialists, Principals/head teachers, Teachers
Attendee devices:
Devices required
Attendee device specification:
Laptop: Chromebook, Mac, PC
Participant accounts, software and other materials:
In order to maximize the experience, attendees will need to ensure access to Chat GPT, Claude, Dall-E, Stable Diffusion, and Adobe Firefly
ISTE Standards:
For 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.
For Education Leaders:
Equity and Citizenship Advocate
  • Ensure all students have skilled teachers who actively use technology to meet student learning needs.
For Educators:
Leader
  • Advocate for equitable access to educational technology, digital content and learning opportunities to meet the diverse needs of all students.

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