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There are additional AI videos in this playlist.

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Crash Course: Artificial Intelligence | What Is Artificial Intelligence? #1 | PBS

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Understand the role that perception plays in AI.

Articulate how neural networks connect with machine perception.

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1. Some AI researchers believe that in order for AI to advance further we need to understand more about how our brain functions. We are still a long way from understanding the complexities of the human brain well enough to replicate it in machines, but this is the ultimate goal of AI and what drives new development in the field.

2. The goal of Artificial Intelligence is to create technology that allows computers and machines to function intelligently, performing tasks such as making predictions or decisions, solving problems, holding conversations.

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AI is when computers, software or other computer-controlled tools think in a way similar to humans by performing nontrivial extractions of meaning from signals like auditory or visual inputs, or by constructing nontrivial representations of the world.

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Machine Learning: The process of giving a computer a sample set of data, so that it can “learn” by making associations between data and draw conclusions without the need to program explicit instructions.

The Turing Test: A test of a machine’s ability to exhibit intelligence comparable to a human; the ability to determine the difference between a machine and a human.

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https://docs.google.com/document/d/1Pt2twmbYFIZEj0I8pGJ7PjH71pukQipeFm3ZMD6JGMQ/edit?usp=sharing

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In Module 1, you learned that:

AI is “the science and engineering of making intelligent machines, especially intelligent computer programs.” — John McCarthy, the man who coined the term artificial intelligence

Artificial intelligence has a long history.

Artificial intelligence is capable of performing functions like learning, reasoning, perceiving, problem solving, and understanding language.

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OpenArt - AI image generator that elevates and realizes your creative vision | OpenArt

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Generate unique and creative images from text with OpenArt, the powerful AI image creation tool. Simply type in your desired image and OpenArt will use artificial intelligence to generate it for you. Perfect for artists, designers, and anyone who wants to create stunning visuals without any design experience.

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AI support for students (don't forbid it but work with it)

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AI support for students (don't forbid it but work with it)

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Student Problem: Students are losing their ability to think critically and problem-solve.

Solution: re-evaluate what, why, and how educators are teaching

1. more student collaboration (debates, group projects/presentations)

2. project-based, student directed learning

3. creating posters

4. game play to review material

5. math - could use AI to create math problems, using AI to test results

6. social studies - AI to create alternative history realities and discuss as a class

7. science - use chatbot to adopt the voice of a famous scientist and discuss their discoveries

8. use AI to edit writing, practice vocabulary, provide individualized tutoring.

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Should we let students use ChatGPT? | Natasha Berg | TEDxSioux Falls

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The Faculty Guide to Getting Started With AI

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Created in collaboration between The University of Texas at Austin and Grammarly, this guide offers 20 practical AI activities and 9 lesson plans that are easy to use and adaptable to various subjects.

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1. create lesson plans

2. create discussion prompts

3. create assessments

4. take complex text and transform to a 4th grade level

5. take text of Romeo and Juliet and make a modern day telenovela

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Should we let students use ChatGPT? | Natasha Berg | TEDxSioux Falls

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This video advises that schools teach students how to use AI safely, ethically, and effectively instead of banning it altogether.

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AI Courses by Iste

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ISTE U offers flexible online courses to help educators sharpen their skills and accelerate innovation within their schools and learning communities.

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Ways to use chatgpt 3.5 in classroom (free version)

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Ways to use chatgpt 3.5 in classroom (free version)

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1. Can help write weekly newsletter (prompt: write a weekly newsletter with 3 headings and 5 two-three sentence paragraphs about...)

2. lesson plans given the standard and 3 objectives, including a section for differentiation using small group (large group, read aloud/think aloud, etc. )

3. Create multiple choice, matching, or fill in the blank worksheets

4. create rubrics

5. create emails to parents or staff

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12 Ways to Use Chat GPT in the Classroom [ 100 ChatGPT Prompts for Teachers ]

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100+ ChatGPT Examples For Teachers (With Copyable Prompts) - ClassPoint Blog | ClassPoint

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This is the most complete list of more than 100 ChatGPT examples and prompts for all teaching tasks and purposes. Suitable for teachers of all education levels.

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MagicSchool.ai - AI for teachers - lesson planning and more!

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Join over a million teachers saving hours of time using the #1 AI Platform for Education, MagicSchool, to help lesson plan, differentiate, write assessments, write IEPs, communicate clearly, and more!

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Automated intelligent tutor - learns students strengths and weaknesses and adapts the questions

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In Module 2, you learned that:

Expert systems and machine learning problem solve in different ways.

Machine learning allows machines to improve with experience.

Machine learning impacts our lives: inside and outside the classroom.

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Expert systems: An early AI computer system designed similar to the decision-making ability of a human expert.

Machine Learning (ML): The process of giving a computer a sample set of data, so that it can “learn” by making associations between data and draw conclusions without the need to program explicit instructions.

Machine learning model: A mathematical representation of a dataset developed by AI, which can be used to support AI reasoning and problem solving.

Deep Learning: A subset of machine learning in which multilayered neural networks learn from vast amounts of data.

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Machine perception: The process of acquiring, interpreting, selecting, and organizing sensory information.

Image understanding: The ability to extract features from images to match features in models.

Neural networks: A computer system patterned after the operation of neurons in the human brain that use layers of nodes with weighted, directed connections to learn to perform tasks. Also referred to as artificial neural networks (ANN).

Algorithmic bias: when algorithms have outcomes that are unfair in a systematic way

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Start to draw something. The program will try to guess what you are drawing and offer icons of your item. You can save this drawing if needed to use elsewhere.

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Fast drawing for everyone. AutoDraw pairs machine learning with drawings from talented artists to help you draw stuff fast.

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Describe natural language processing.

Identify the functionality and purpose of chatbots and voice experiences.

Identify ways to use chatbots and voice experiences to support student learning and engage students in AI creation.

Optional: Develop a chatbot and/or Alexa-like voice experience.

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Chatbots: Computer programs that carry on a conversation with a human via text and/or speech.

Speech Recognition: The ability for a computer to correctly identify spoken words

Voice Recognition: The ability for a computer to identify the specific voice that is speaking.

Natural Language Processing (NLP): The interactions between computers and humans using natural language, in particular the programming of computers to effectively process large amounts of natural language data.

Voice experience: An interaction with a device that recognizes, processes, and responds to natural language.

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AI Projects for Elementary Teachers (K-5)

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AI Projects for Elementary Teachers (K-5)

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AI Projects for Secondary Teachers (6-12)

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AI Projects for Secondary Teachers (6-12)

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AI Projects for Elective Teachers (4-12)

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AI Projects for Elective Teachers (4-12)

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AI Projects for Computer Science Teachers (5-12)

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AI Projects for Computer Science Teachers (5-12)