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AI Simulation Game | Teach How AI Works | Alignment, Bias & Prompting Activity
Be sure to watch this 30-minute Teacher Facilitator Training Video, which walks you through the prep and how to run a session for your students.Please feel free to reach out to me. This is a heady topic; I want you to feel confident about how AI works. johannagroene@gmail.comHACKED! – AI Safety & AI Literacy Game / Simulation (Print & Play) A hands-on, fully turn-key week of lessons or a professional development session on AI simulation that helps students and educators understand how AI systems
6th - 12th, Adult Education, Higher Education
Computer Science - Technology, Instructional Technology, Statistics
CCSS
RI.9-10.8
, RI.11-12.7
, W.9-10.6
+1
Dress The Weather Seasonal Sorting Activity | Preschool File Folder Game
Dress The Season Clothing Identify & Sort Activity | Summer & Winter Theme Sorting | File Folder Game:This sorting activity is such a fun hands-on activity. It helps students learn about different seasons while they sort the different clothing according to what time of the year they would be worn. This specific file folder game gives them two different seasons to choose from...the winter season or the summer season. Objective: To help your students practice identifying and sorting different item
PreK - 2nd
Statistics
Machine Learning 201
This is a mid-level basic explanation of What is Machine Learning and how it works. It includes a basic overview of algorithms, the different types of algorithms, basic artificial intelligence, and the basics of how they work. It also includes the two basic types of Machine Learning, Supervised and Unsupervised, and how they work to improve our lives everyday! It also includes a two page term/description exercise match for review.
Not Specific
Computer Science - Technology, Instructional Technology, Statistics
Machine Learning AI 101
This is a basic introduction into Artificial Intelligence Machine Learning. This product uses simple to understand terms any student can understand. It covers supervised machine learning, unsupervised machine learning, and reinforcement machine learning. It also includes an exercise to review the basics of machine learning.
Not Specific
Computer Science - Technology, Other (Math), Statistics
Insect Theme File Folder Game | Ladybug Shape & Color Match | Preschool Learning
Ladybug Theme File Folder Shape & Color Matching Game:This cute colorful Insect-Themed file folder game is so much fun and will get your students excited to learn all about insects! It’s not only great for shape recognition and matching practice but for color matching practice as well. There are #2 pages of leaves with shapes on them that you will attach to the file folder. As well as #3 pages of “ladybug flashcards” (that you will cut out and laminate). Print, laminate, and attach the #2 pages
PreK - 1st
Order of Operations, Other (Math), Statistics
Introduction to Accounting - Ch 1 - Basic Accounting for High School
Chapter 1 Introduction to Accounting - Ch 1 - Basic Accounting for High SchoolAccounting is essential for understanding financial information, making informed decisions, and managing money. By learning accounting basics, students gain skills that help them in personal finance, business, and other professional areas. This chapter covers fundamental accounting concepts and practices, including how to record, analyze, and interpret financial data. What’s Included:All files are editable for teacher
9th - 12th
Business, Economics , Statistics
The brain-shaped mind: what the brain can tell us about the mind pdf
In the same way atomic structures explain the physical properties of an object, neuroscientists are now learning about the human mind by examining how the neurons in the brain are connected to one another and their surrounding environments. Will brain scientists ever be capable of reading minds? Why are certain things harder to remember than others? The Brain-Shaped Mind addresses these and other questions to provide a clear account of how the structure of the brain influences the workings of th
Not Specific
Statistics
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