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Seven Effective Uses of AI for Any Educator

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Learning Lab

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Session description

This session will showcase a variety of effective and proven AI use cases in educational settings, categorized into seven areas: brainstorming, reducing administrative tasks, content creation, differentiation, review and analysis, comparison, and external data manipulation. Participants will engage with interactive examples from each category across diverse educational subject areas

Outline

The presentation will begin with participants taking a brief, humorous poll about their experience and initial reactions to AI.

Participants will then join a web-based workshop section where they will explore seven AI use cases based on their chosen subject area (e.g., English, math, science, world studies). The facilitator will guide them through these steps, and they will be able to continue their journey in the workshop after the session concludes.

Participants will share their reactions and have the opportunity to ask questions after each of the seven use cases.

They will also learn how to construct a custom chatbot to use in their classrooms for more targeted activities.

We will conclude with a gallery walk of ideas and/or future uses.

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Supporting research

AI Will Transform Teaching and Learning. Let’s Get it Right.
https://hai.stanford.edu/news/ai-will-transform-teaching-and-learning-lets-get-it-right

Educating in a World of Artificial Intelligence
https://www.gse.harvard.edu/ideas/edcast/23/02/educating-world-artificial-intelligence

Practical Strategies for Teaching with AI
https://mitsloanedtech.mit.edu/ai/teach/practical-strategies-for-teaching-with-ai/

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Presenters

Steve Cottington

Professional Development Specialist

CodeHS

Session specifications

Topic:

Artificial Intelligence

TLP:

Grade level:

PK-12

Audience:

School Level Leadership, Teacher Development, Teacher

Attendee devices:

Devices useful

Attendee device specification:

Laptop: Chromebook, Mac, PC
Tablet: Android, iOS, Windows

Participant accounts, software and other materials:

Chrome or similar browser with access to the internet.

Subject area:

Computer Science, Teacher Education

ISTE Standards:

For Educators:
Leader

Model for colleagues the identification, experimentation, evaluation, curation and adoption of new digital resources and tools for learning.

Analyst

Use technology to design and implement a variety of formative and summative assessments that accommodate learner needs, provide timely feedback to students and inform instruction.
Use assessment data to guide progress, personalize learning, and communicate feedback to education stakeholders in support of students reaching their learning goals.

Influencer Disclosure:

This session includes a presenter that indicated a “material connection” to a brand that includes a personal, family or employment relationship, or a financial relationship. See individual speaker menu for disclosure information.