This resource includes a set of activities, teacher guides, assessments, materials, and …
This resource includes a set of activities, teacher guides, assessments, materials, and more to assist educators in teaching about the ethics of artificial intelligence. These activities were developed at the MIT Media Lab to meet a growing need for children to understand artificial intelligence, its impact on society, and how they might shape the future of AI.
This curriculum was designed and tested for middle school students (approximately grades 5th-8th). Most activities are unplugged and only require the materials included in this document, although unplugged modifications are suggested for the activities which require computer access.
Description: A short deep dive into how facial recognition technology is used, …
Description: A short deep dive into how facial recognition technology is used, some biases it has, and some ways companies, individuals, and the law are fighting against its use in surveillance Skills/knowledge you'll gain: Ethics Length: 1 hour
Curriculum aligns to: - NGSS Engineering standards - ISTE standards - Common Core ELA/Literacy standards - Also maps to CSTA standards
As we mentioned last episode, one of the best test spaces for …
As we mentioned last episode, one of the best test spaces for building new AI systems are games. This is because games provide a great framework for an AI to learn an objective and slowly improve. In recent years, AI has made huge strides in games from beating Jeopardy! champions to crushing a five-person team in DOTA 2. Today, we’re going to walk you through creating a Tic Tac Toe bot that uses the minimax algorithm to become undefeatable and we’ll talk about evolutionary neural networks like in SethBling’s MarI/O project. Next week we’ll create our very own game and create an AI to master it!
AIRS is an open source set of online modules and resources in …
AIRS is an open source set of online modules and resources in research skills and knowledge. It provides the grounding in research processes with practical tools to support you.
AIRS is a mandatory coursework requirement for Higher Degree Research (HDR) students enrolled in a Doctor of Philosophy (PhD) or Master of Philosophy (MPhil), at the Queensland University of Technology (QUT).
The Student Guide to Artificial Intelligence is an initiative of Elon University, …
The Student Guide to Artificial Intelligence is an initiative of Elon University, in partnership with the American Association of Colleges and Universities (AAC&U). It is a continuation of a 2023 global collaboration that established a statement of principles to guide development of AI policies and practices in higher education. The statement was released at the United Nations Internet Governance Forum in Kyoto, Japan, and was supported by more than 140 higher education organizations, administrators, researchers and faculty members from 48 countries.
NOTE -- Generative AI was used in the creation of this resources. You can find more information, including the prompts used, here: https://studentguidetoai.org/about/
AI processes vast information, generates new content, and helps decision-making through predictive …
AI processes vast information, generates new content, and helps decision-making through predictive analyses. In education, AI has transformed the traditional teacher–student relationship into a teacher–AI–student dynamic.
This shift requires a re-examination of teachers’ roles and the competencies they need in the AI era. Yet, few countries have defined these competencies or developed national programmes to train teachers in AI, leaving many educators without proper guidance.
The AI competency framework for teachers addresses this gap by defining the knowledge, skills, and values teachers must master in the age of AI. Developed with principles of protecting teachers’ rights, enhancing human agency, and promoting sustainability, the publication outlines 15 competencies across five dimensions: Human-centred mindset, Ethics of AI, AI foundations and applications, AI pedagogy, and AI for professional learning. These competencies are categorized into three progression levels: Acquire, Deepen, and Create.
As a global reference, this tool guides the development of national AI competency frameworks, informs teacher training programmes, and helps in designing assessment parameters. It also provides strategies for teachers to build AI knowledge, apply ethical principles, and support their professional growth.
Computer science is about so much more than coding! Learn about AI, …
Computer science is about so much more than coding! Learn about AI, machine learning, training data, and bias, while exploring ethical issues and how AI can be used to address world problems.
AI and education are not just topics for industry. The education system …
AI and education are not just topics for industry. The education system should be prepared to identify how best to make use of AI in the classroom, reassure teachers, make them responsible users and start an effective teacher-training program. The goal of this textbook is to give teachers the knowledge necessary for deciding if, where and how AI can help. • How can artificial intelligence impact learning and teaching in my classroom? • Can it help me do what I want to do with my students? • How can it change the dynamics and interactions I have with my students? • How do I even know when it is being used correctly or incorrectly? • And, what should I be aware of if I want to put it to good use? Available in English, French, German, Italian, and Slovenian
Learn about the implementation and practical aspects of Artificial Intelligence and how …
Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.
This course is not about difficult algorithms and complex programming; it is a course for anyone interested in learning how to integrate AI into their own organization.
To understand how current Artificial Intelligence applications can be successfully integrated in organizations, we look at different examples. For instance, how ING uses reinforcement learning for personalized dialog management with its customers or how Radboud UMC uses diagnostic image analysis to discover early stages of infectious diseases.
As part of our two-course program ‘AI in Practice’, this course will guide you in the practical aspects of applying AI in your own organization. You will examine typical applications of AI in use already and learn from their experience. These include challenges of implementation, lifecycle aspects, as well as the maintenance and management of AI applications.
The course presents a variety of case studies from actual situations in public organizations and private enterprises in the healthcare, financial, retail and telecommunications sectors. These include Radboud UMC, the Municipality of Amsterdam, ING, Ahold Delhaize and KPN.
‘AI in Practice – Applying AI’ gives you the ammunition to understand the practical aspects required for the implementation of a variety of AI applications in your organization.
This course, AI in Practice: Preparing for AI, is the 1st course …
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.
Learn the fundamentals and principal AI concepts about clustering, dimensionality reduction, reinforcement …
Learn the fundamentals and principal AI concepts about clustering, dimensionality reduction, reinforcement learning and deep learning to solve real-life problems.
Learn the fundamentals of machine learning to help you correctly apply various …
Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems.
A one-stop shop to get started on the key considerations about data …
A one-stop shop to get started on the key considerations about data for AI! Learn how crowdsourcing offers a viable means to leverage human intelligence at scale for data creation, enrichment and interpretation, demonstrating a great potential to improve both the performance of AI systems and their trustworthiness and increase the adoption of AI in general.
Description: Learn how conservationists use AI image recognition to save time identifying …
Description: Learn how conservationists use AI image recognition to save time identifying how and where to protect endangered species. Build your own species-identifying AI system Skills/knowledge you'll gain: Conservation Length: 1-2 hours
Curriculum aligns to: - NGSS Engineering standards - ISTE standards - Common Core ELA/Literacy standards - Also maps to CSTA standards
A video from the Extreme Ice Survey in which Dr. Tad Pfeffer …
A video from the Extreme Ice Survey in which Dr. Tad Pfeffer and photographer Jim Balog discuss the dynamics of the Columbia glacier's retreat in recent years through this time-lapse movie. Key point: glacier size is being reduced not just by glacial melting but due to a shift in glacial dynamics brought on by climate change.
ALAMOSE aims to educate undergraduate and graduate students on (i) what categories …
ALAMOSE aims to educate undergraduate and graduate students on (i) what categories of security weaknesses appear for artifacts used in DevOps, and (ii) how identified security weaknesses can be detected. ALAMOSE is funded by the U.S. National Science Foundation (NSF), and spearheaded by Akond Rahman at Auburn University. Please contact him with questions at akond@auburn.edu.
Este Guia Didático surgiu como produto da Dissertação de Mestrado do Programa …
Este Guia Didático surgiu como produto da Dissertação de Mestrado do Programa de Pós-Graduação de Mestrado Profissional em Rede para o Ensino das Ciências Ambientais – PROFCIAMB, sob o Tema “APRENDENDO COM A ESCASSEZ: ALTERNATIVAS DE USO DA ÁGUA EM EIRUNEPÉ/AM” como atividade prática com os discentes do Ensino Médio do Instituto Federal de Educação, Ciência e Tecnologia do Amazonas, Campus Eirunepé sobre o abastecimento de água e como as famílias atuam na obtenção deste bem quando não fornecido adequadamente pelo Poder Público. A construção do Guia Pedagógico surgiu a partir da necessidade dos discentes compreenderem a problemática da água no mundo. Esta compreensão deve ter como marco inicial, a percepção sobre o abastecimento de água na cidade onde os mesmos moram, compreendendo as condições de captação, abastecimento e uso da água pelas suas famílias. A partir do “local” o discente será capaz de compreender o contexto da água sob o aspecto global.
Women at NASA are doing some A-MAZE-ING things! Challenge your puzzle skills …
Women at NASA are doing some A-MAZE-ING things! Challenge your puzzle skills and learn about women at NASA making a mark in science, technology, engineering and mathematics. Celebrate their accomplishments with these printable worksheets.
Os ambientes de aprendizagem são locais onde os alunos e os professores …
Os ambientes de aprendizagem são locais onde os alunos e os professores podem se sentir mais a vontade e mais ativos para realizar as atividades em cada uma das disciplinas. Contribuindo desta maneira para que todos possam aprender cada vez mais.
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