In this lab, students will train three simple neural networks using the AP Gridworld software and a perceptron neural network. The lab culminates when students have trained an autonomous car to drive around simple cars without crashing.
Material Type: Lesson Plan
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
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
Powered by the School Library Systems Association of New York and made possible in part through the Allison-Rosen Foundation, LibraryReady.AI is an initiative that aims to integrate artificial intelligence, media literacy, and information fluency into New York State's school libraries. The goal is to prepare students for an increasingly digital and AI-driven world.
Material Type: Teaching/Learning Strategy
Overview: Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 100,000 words on the topic, with a 4-500 item bibliography. It is the 2024 Second Edition of a 2023 book. It is about 100 pages longer than the first edition.
Material Type: Textbook
Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 95,000 words on the topic, with a 3-400 item bibliography.
Material Type: Reading, Textbook
Host Brenna Clarke Gray (Thompson Rivers University) and guest Autumm Caines (University of Michigan - Dearborn) explore the pedagogical implications of generative AI in this conversation in honour of Open Education Week. They ask such questions as: - What happens when we leap into new technologies without first pausing to imagine harms, such as surveillance, bias, and discrimination? - Can recentering the core values of the open education movement—equity, inclusion, transparency, and social justice—in our pedagogy help us move forward in a good way? - How do we introduce these considerations to our students and empower them to make informed decisions with new technologies?
Material Type: Lecture
In CampGPT, educators experimented with generative AI-enabled tools like chatbots and image generators to learn and explore together. Their work and insights have been compiled in the Open Prompt Book from CampGPT. Throughout this prompt book, you’ll learn more about generative AI, what educators use it for, and key tips and tricks. The “Try It Out” links enable you to try the prompts in your own account (links for ChatGPT and Bard are provided). This means that, if you like an idea, you can start with the prompt in the book and then continue interacting with a chatbot to further adapt the output to your needs. In addition to the open prompts, we’ve included quotes from the educators from whom the ideas and prompts in this book were crowdsourced.
Material Type: Teaching/Learning Strategy
Garnet Valley School District in PA established a deep commitment to open education when it first joined the #GoOpen Network over eight years ago to advance an OER initiative. Still on an innovative journey to transform teaching and learning, the district’s Director of Technology and Online Learning and Founder and Executive Director of nonprofit Edvative Learning, Sam Mormando is actively exploring the rapidly evolving landscape of AI technology and reflecting on ways it may be advantageous for education, and specifically, for OER.
Material Type: Reading
The Northeast OER Summit is a gathering of Open Educational Resources practitioners from the Northeast region of the United States. Initiated in 2017, the planning committee consists of OER advocates (administrators, librarians, instructional designers, faculty and staff) from the Northeast. This resource is a session presentation that discusses the intersection of OER and AI.
Material Type: Lecture
On the eve of the CC Global Summit, members of the CC global community and Creative Commons held a one-day workshop to discuss issues related to AI, creators, and the commons. The community attending the Summit has a long history of hosting these intimate discussions before the Summit begins on critical and timely issues. Emerging from that deep discussion and in subsequent conversation during the three days of the Summit, this group identified a set of common issues and values, which are captured in the statement below. These ideas are shared here for further community discussion and to help CC and the global community navigate uncharted waters in the face of generative AI and its impact on the commons.
Material Type: Reading
With over 305,000 open educational resources cataloged on OER Commons since 2007, ISKME works to make learning and knowledge sharing more participatory, equitable, and open, in pursuit of a more just society. Those resources don’t describe themselves, though. The metadata of every resource in OER Commons was put together by someone before it got added to our collection, and then a librarian at ISKME reviewed it for quality – and that’s a lot of work, both in and out of house! How much work? Well, if a librarian were to spend just five minutes on each record that ever found its way into our collection, that would take 25,433 hours. That’s enough time to… - do 123 round trips to the moon (time to finally take that leave you’ve been saving) - get 3,178 full nights of sleep (unless you’re a cat, then it’s only 1,413) - walk 8 times from Cape Town to Copenhagen (we’re gonna need a bigger passport) - work full-time for over 13 years (don’t worry, that excludes 4 weeks vacation) All of that to say, metadata takes time. It can be a challenge to balance metadata creation with other tasks like maintaining existing records, curation work, and supporting educational partners with curation. As such, we’re always on the lookout for tools and techniques that boost our capacity without compromising quality. In 2023 and 2024, we’re testing out how generative AI tools like large language models can support our work in the OER landscape. This poster highlights some of the places where we’ve had successes, along with possible future applications that we think are both useful and doable.
Material Type: Diagram/Illustration
This report from European Schoolnet Academy explores how professional development for teachers needs to change in the age of AI. From fostering an understanding of AI applications in education to equipping teachers with the requisite skills to leverage these technologies, our analysis aims to provide insights into how professional development can empower teachers to navigate the complexities of the changes brought about by AI.
Material Type: Reading
On January 4, 2024 the Curriculum Services Team delivered a 2-hour webinar titled "Using the Magic of AI to Innovate Professional Learning" to a national audience. Based on a presentation delivered at the AESA National Conference in December 2023, this webinar was a deeper dive into the ways that the WIU Curriculum Services Team leverages AI to develop professional learning activities to support the school districts in Westmoreland County and beyond.
Material Type: Simulation
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
In this video segment from NASA, robotics researcher Ayanna Howard uses engineering to improve the intelligence of robots in space exploration.
Material Type: Diagram/Illustration, Lecture
This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview: "The Materials Research Society is proud to announce the 2020 MRS Communications Lecture honorees, Drs. Chun-Teh Chen and Grace Gu from the University of California, Berkeley. The honor recognizes excellence in the field of materials research through work published in MRS Communications. Drs. Chen and Gu are recognized this year for their prospective paper on how researchers are harnessing artificial intelligence to accelerate the design and discovery of composite materials. Their work is featured in volume nine, issue two of MRS Communications. Composites are combinations of two or more base materials, whose collective properties exceed those possessed by either material alone. Composites are widely used as structural materials in the automotive and aerospace industries and can also be easily found in nature. Limitations in manufacturing methods have generally restricted the architecture these materials take on in real-world applications. Most commonly, they’re processed into multilayer sheets..." The rest of the transcript, along with a link to the research itself, is available on the resource itself.
Material Type: Diagram/Illustration, Reading
This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview: "Congenital heart defects affect approximately 1% of all babies born each year and account for almost 20% of all newborn deaths. Early diagnosis while still in the womb can greatly improve an affected baby’s chance of survival. Unfortunately, diagnosis relies exclusively on ultrasound imaging, where accurate readings aren’t guaranteed. Researchers in Japan are tackling this problem by enlisting the help of artificial intelligence. More importantly, they’re helping the doctors entrusted with patient care to understand how AI programs spot heart defects. Advancements in artificial intelligence have improved how congenital heart defects are diagnosed. Ultrasound videos of fetal hearts beating normally and others with structural defects can be studied with AI, which can then determine whether the fetal hearts in new videos are abnormal or not..." The rest of the transcript, along with a link to the research itself, is available on the resource itself.
Material Type: Diagram/Illustration, Reading
Video on Predicate Logic in the course Artificial Intelligence
Material Type: Lecture
Artificial Intelligence (AI) is emerging rapidly across industries—including K–12 education. To support educators and education leaders in equitable and inclusive uses of AI in classrooms across Washington, the Office of Superintendent of Public Instruction (OSPI) presents this initial guidance, which emphasizes a human-centered approach to using this ever-evolving tool. OSPI’s guidance on integrating AI into Washington classrooms is designed to be used by stakeholders across public education. The document covers definitions, principles and values, guidance, policy, academic integrity and AI assistance, and professional development. .
Material Type: Reading, Teaching/Learning Strategy
