How to teach AI : weaving strategies and activities into any content area / Rachelle Dené Poth.
Material type:
TextPublication details: Arlington, VA : International Society for Technology in Education, 2024Description: xiv, 178 pages : illustrations ; 24 cmISBN: 9798888370353Subject(s): Artificial intelligence -- Study and teaching | Interdisciplinary approach in educationAdditional physical formats: How to teach AIDDC classification: 006.3071/2 LOC classification: Q335.7 | .P67 2024| Item type | Current library | Call number | Status | Date due | Barcode |
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Hard Covered Materials
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MACHAKOS UNIVERSITY LIBRARY Open shelf | Q335.7 .P67 2024 (Browse shelf (Opens below)) | Available | 40483 | |
Hard Covered Materials
|
MACHAKOS UNIVERSITY LIBRARY Open shelf | Q335.7 .P67 2024 (Browse shelf (Opens below)) | Available | 40484 | |
Hard Covered Materials
|
MACHAKOS UNIVERSITY LIBRARY Open shelf | Q335.7 .P67 2024 (Browse shelf (Opens below)) | Available | 40485 |
Includes bibliographical references.
Artificial Intelligence : what is it? -- Navigating AI's ethical implications -- The impact of AI in education -- Putting ChatGPT and GenAI to work -- Fostering creators and innovators with AI -- AI impact : preparing students for the future of work -- Best practices for teaching AI.
"Get practical tools and strategies for teaching AI across the K-12 curriculum with this accessible guide. As AI continues to transform our world, educators have a responsibility to stay current with the changes, and ensure that students have the necessary knowledge and skills to succeed in the future. Written by an educator who is currently teaching on this topic, How to Teach AI shares practical strategies and tools based on what good practice looks like in the classroom right now. Readers will build confidence in integrating AI into their curriculum so they can effectively prepare students for their careers. Taking a friendly and accessible approach, the book covers a range of topics related to AI, such as machine learning, robotics and natural language processing, and includes examples of how these technologies are being implemented in different industries and their impact on education. The book includes a chapter dedicated to the ethics of AI, addressing issues around bias, intellectual property, student data privacy and more"-- Provided by publisher.

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