Proyectos prácticos de la IA para el aula: Una guía ética sobre la IA

En esta guía, la exploración de la IA por parte de los alumnos se enmarca en el contexto de las consideraciones éticas, y en concordancia con los estándares, conceptos y profundidad adecuados para varias materias de K–12. Dependiendo del nivel de sus alumnos y la cantidad de tiempo que tenga disponible, puede completar todas las actividades de Inicio hasta las actividades de Demostraciones culminantes; puede seleccionar actividades de la lista; o puede llevar el aprendizaje de los alumnos más lejos, aprovechando las extensiones y recursos adicionales proporcionados. Para los alumnos sin experiencia previa de formación en la IA, la exposición misma a las actividades de aprendizaje guiadas creará una comprensión de su mundo que probablemente no tenían antes. Y para aquellos con conocimientos previos en informática o con la IA, los proyectos y recursos completos seguirán desafiando su razonamiento y los expondrán a nuevas tecnologías y aplicaciones de la IA en diversos campos de estudio. PROYECTO 1: Lo justo es justo PROYECTO 2: ¿Quién tiene el control? PROYECTO 3: Las ventajas y desventajas de la tecnología de la IA PROYECTO 4: La IA y el trabajador del siglo XXI

Material Type: Lesson, Lesson Plan, Module, Unit of Study

Authors: General Motors, International Society for Technology in Education (ISTE)

Proyectos prácticos de IA para el aula: Una guía para maestros de informática

Los proyectos de esta guía utilizan un enfoque centrado en los alumnos para el aprendizaje. En lugar de solo aprender acerca de la IA con videos o conferencias, los alumnos que realizan estos proyectos son participantes activos en la exploración de ella. En el proceso, los estudiantes trabajarán directamente con tecnologías innovadoras de IA, participarán en actividades no en línea para ampliar su comprensión de cómo funcionan las tecnologías de IA y crearán diversos productos auténticos desde modelos de aprendizaje automático hasta videojuegos— para demostrar su aprendizaje. PROYECTO 1: Programación con aprendizaje automático PROYECTO 2: Jugadores asistidos por IA en videojuegos PROYECTO 3: Uso de la IA para planificar movimientos robóticos PROYECTO 4: El aprendizaje automático como un servicio

Material Type: Lesson, Lesson Plan, Module, Unit of Study

Authors: General Motors, International Society for Technology in Education (ISTE)

Machine Learning Lab

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

Authors: Ramsey Young, Jonathan Ringenberg

LibraryReady.AI

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

Author: Rebecca Henderson

Artificial Intelligence and Librarianship: Notes for Teaching 2nd Edition

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

Author: Martin Frické

Artificial Intelligence and Librarianship

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

Author: Martin Frické

Planes, trains, and generative AI: Recentering open education values in new technology adoption

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

Authors: Autumm Caines, Brenna Clarke Gray

Master Class: Generative AI for Open Education

World Education's AI for Learning and Work initiative is dedicated to exploring the intersection of artificial intelligence and education, and how it can shape the future of the way we live and work.  In this webinar,  Jeff Goumas and Rachel Riggs share their insights.

Material Type: Teaching/Learning Strategy

Author: Rebecca Henderson

Open Prompt Book from CampGPT

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

Author: Rebecca Henderson

AI’s Role in Revolutionizing Open Educational Resources (OER)

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

Author: Rebecca Henderson

Who is afraid of the big bad wolf? Artificial Intelligence and Open Educational Resources

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

Author: Rebecca Henderson

Making AI Work for Creators and the Commons

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

Author: Creative Commons

Poster session - AI at OER Commons: Supporting OER Search and Discovery

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

Author: Peter Musser

Exploring New Horizons: Teacher Professional Development in the Age of AI – Insights from Thematic Seminar and Report

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

Author: Rebecca Henderson

Using the Magic of AI to Innovate Professional Learning

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

Author: Rebecca Henderson

Engineering for the Red Planet

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

Authors: Argosy Foundation, WGBH Educational Foundation

Free online computer science books

Freebookcentre.net's computer science section contains links to many technical books offered free online, either as html pages or downloadable pdfs. Books are arranged by subject: Data Structures and Algorithms, Compiler Design, Object Oriented Programming, Operating Systems, Computation Theory, Artificial Intelligence, and others.

Material Type: Lecture

2020 MRS Communications Lecture: Machine learning for composite materials

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

Explanatory artificial intelligence improves the diagnosis of congenital heart defects before birth

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

Lecture on Predicate Logic

Video on Predicate Logic in the course Artificial Intelligence

Material Type: Lecture

Authors: Anupam Basu, Sudeshna Sarkar