Group Membership and Administration
(View Complete Item Description)What is a Group on the Oregon Open Learning Hub and what are the roles of the Group Members and Group Administrators?
Material Type: Primary Source
What is a Group on the Oregon Open Learning Hub and what are the roles of the Group Members and Group Administrators?
Material Type: Primary Source
This is the GitHub repository for course CMP 414/765: Artificial Intelligence taught at The City University of New York, Lehman College, in Fall 2022
Material Type: Lecture Notes
The People's Guide to Artificial Intelligence is an educational and speculative approach to understanding artificial intelligence (AI) and its growing impact on society. The 78-page booklet explores the forms AI takes today and the role AI-based technologies can play in fostering equitable futures. The project resists narratives of dystopian futures by using popular education, design, and storytelling to lay the groundwork for creative imaginings.
Material Type: Reading
This course, AI in Practice: Preparing for AI, is the 1st course of the online education program AI in Practice. The course gives you a kaleidoscope of examples of applications of AI in various organizations, outlines the state of the art in modern AI research, and provides practical tools for integrating AI into your own organization. The program AI in Practice is built from two initial courses, AI in Practice: Preparing for AI and AI in Practice: Applying AI. The AI in Practice: Preparing for AI course is designed for people who want to apply AI in their own practical situation. For the experienced manager who wants to know what AI can do for her own organization. For the data analyst or business consultant who wants to understand how AI can be applied in the business processes of the company for which they work. For the student who wants to understand how the results of AI research can be translated into practical applications.
Material Type: Full Course
Bytes of AI are fun, quick introductions to artificial intelligence through a variety of different topics. These can be used to spark an interest in AI before exploring the AI4ALL curriculum further. Bytes of AI introduce students and teachers to some of the core ideas of AI including:How data becomes output in an AI modelWhat AI is capable of, what risks it can haveHow human biases enter datasetsHow AI can be used in diverse fields Access the full series of AI4ALL's Bytes of AI from their website.
Material Type: Lesson
Bytes of AI are fun, quick introductions to artificial intelligence through a variety of different topics. These can be used to spark an interest in AI before exploring the AI4ALL curriculum further. Bytes of AI introduce students and teachers to some of the core ideas of AI including:How data becomes output in an AI modelWhat AI is capable of, what risks it can haveHow human biases enter datasetsHow AI can be used in diverse fields Access the full series of AI4ALL's Bytes of AI from their website.
Material Type: Lesson
Bytes of AI are fun, quick introductions to artificial intelligence through a variety of different topics. These can be used to spark an interest in AI before exploring the AI4ALL curriculum further. Bytes of AI introduce students and teachers to some of the core ideas of AI including:How data becomes output in an AI modelWhat AI is capable of, what risks it can haveHow human biases enter datasetsHow AI can be used in diverse fields Access the full series of AI4ALL's Bytes of AI from their website.
Material Type: Lesson
Bytes of AI are fun, quick introductions to artificial intelligence through a variety of different topics. These can be used to spark an interest in AI before exploring the AI4ALL curriculum further. Bytes of AI introduce students and teachers to some of the core ideas of AI including:How data becomes output in an AI modelWhat AI is capable of, what risks it can haveHow human biases enter datasetsHow AI can be used in diverse fields Access the full series of AI4ALL's Bytes of AI from their website.
Material Type: Lesson
Short Description: This book provides an overview of the field of natural language processing and recently developed methods, presuming only knowledge of computing with data structures. Long Description: This book allows a reader with a background in computing to quickly learn about the principles of human language and computational methods for processing it. The book discusses what natural language processing (NLP) is, where it is useful, and how it can be deployed using modern software tools. It covers the core topics of modern NLP, including an overview of the syntax and semantics of English, benchmark tasks for computational language modelling, and higher level tasks and applications that analyze or generate language. It takes the perspective of a computer scientist. The primary themes are abstraction, data, algorithms, applications and impacts. It also includes history and trends that are important for understanding why things have been done the way that they have. Word Count: 70048 ISBN: 978-1-7376595-1-8 (Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)
Material Type: Textbook
This OER goes about to relate Personalized-Learning, Artificial Intelligence in Education, Inclusive Education, and Massive Open Online Courses, as well as talk about sustainabality.
Material Type: Lesson
This overview by CoSN delves into the facts and myths of AI: "If you've had time to pay attention, you may have picked up on the noise happening in K-12 circles around ChatGPT and the myriad of other AI web tools that suddenly are in the spotlight. Why all the noise and how do EdTech minded administrators respond?"
Material Type: Lecture
This course provides an understanding of how geospatial perspectives and technologies support all stages of emergency management activities, from small scale emergency management efforts to large scale disaster/humanitarian efforts. This includes learning about commonly used and emerging geospatial tools. It also includes an exploration of advancements in data collection, processing and analysis capabilities, such as unmanned aerial systems, geospatial artificial intelligence, volunteered geographic information, social media, and many more.
Material Type: Full Course
The projects in this guide use a student-driven approach to learning. Instead of simply learning about AI through videos or lectures, the students completing these projects are active participants in their AI exploration. In the process, students work directly with innovative AI technologies, participate in “unplugged” activities that further their understanding of how AI technologies work, and create various authentic products—from machine learning models to video games—to demonstrate their learning. Project 1: Programming with Machine Learning Project 2: AI-Powered Players in Video Games Project 3: Using AI for Robotic Motion Planning Project 4: Machine Learning as a Service Visit the ISTE website with all the free practical guides for engaging students in AI creation: https://www.iste.org/areas-of-focus/AI-in-education
Material Type: Lesson, Lesson Plan, Module, Unit of Study
Esta guía ofrece proyectos centrados en los alumnos que pueden enseñar directamente estándares de áreas de estudio en conjunto con comprensiones fundamentales de los que es la IA, cómo funciona y cómo impacta a la sociedad. Fueron considerados varios enfoques clave para diseñar estos proyectos. Entender estos enfoques sustentará su comprensión y la implementación de los proyectos de esta guía, así como su trabajo para diseñar más actividades que integren la enseñanza sobre la IA en su plan de estudios. PROYECTO 1: Chatbots de IA PROYECTO 2: Desarrollo de una mirada crítica PROYECTO 3: Uso de la IA para resolver problemas del medio ambiente PROYECTO 4: Leyes para la IA
Material Type: Lesson, Lesson Plan, Module, Unit of Study
In this video segment adapted from the Massachusetts Institute of Technology, researchers in the Artificial Intelligence Laboratory working to engineer smarter robots are now building a machine that interacts socially with people.
Material Type: Activity/Lab
In this video from Science City, meet Eduardo Torres-Jara, a postdoctoral associate in electrical engineering and computer science at the MIT Artificial Intelligence Lab. He describes his work on innovative robots that use tactile feedback to locate and grasp objects.
Material Type: Lecture
The demand for STEM qualified employees has grown significantly over the years. That is one of the main reasons schools are pushing STEM programs, especially for female students. The number of job vacancies has reach the millions point. This has caused a large gap in qualified employees to head the charge in artificial intelligence.
Material Type: Unit of Study
This STEAM device includes different activities and tasks directed to 10th-grade students who are L2 learners with an A2 level of English. This device is aimed to help them to improve the six language skills: oral production, oral interaction, reading comprehension, writing production, and writing interaction, while they learn about Artificial Intelligence and its role in art.
Material Type: Lesson
Esta guía ofrece proyectos centrados en los alumnos que pueden enseñar directamente estándares de áreas de estudio en conjunto con comprensiones fundamentales de los que es la IA, cómo funciona y cómo impacta a la sociedad. Fueron considerados varios enfoques clave para diseñar estos proyectos. Entender estos enfoques sustentará su comprensión y la implementación de los proyectos de esta guía, así como su trabajo para diseñar más actividades que integren la enseñanza sobre la IA en su plan de estudios. PROYECTO 1: Lo que la IA hace bien y lo que no hace tan bien PROYECTO 2: Datos de entrenamiento y aprendizaje automático PROYECTO 3: Los sentidos comparados con los sensores PROYECTO 4: Navegación e IA
Material Type: Lesson, Lesson Plan, Module, Unit of Study
This guide provides student-driven projects that can directly teach subject area standards in tandem with foundational understandings of what AI is, how it works, and how it impacts society. Instead of simply learning about AI through videos or lectures, the students completing these projects are active participants in their AI exploration. In the process, students work directly with innovative AI technologies, participate in “unplugged” activities that further their understanding of how AI technologies work, and create various authentic products—from presentations to designing an AI robot—to demonstrate their learning. • Project 1: What AI Does Well and Does Not Do Well • Project 2: Training Data and Machine Learning • Project 3: Senses vs. Sensors • Project 4: Navigation and AI Visit the ISTE website with all the free practical guides for engaging students in AI creation: https://www.iste.org/areas-of-focus/AI-in-education
Material Type: Lesson, Lesson Plan, Module, Unit of Study