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mailto:Robert.Wise@ped.nm.gov

PED has a chief information security officer who is always willing to help our schools.

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Privacy Technical Assistance Center PTAC

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Privacy Technical Assistance Center PTAC

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FERPA, privacyTA@ed.gov

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New Mexico Cohort - Session 6 - October 9, 2024

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CISA

Andrew.Buschbom@cisa.dhs.gov

505-302-4299

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Future Ready New Mexico Cohort - Session 6 October 9, 2024 WELCOME Today’s Agenda: FutureReady.link/oct9

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FRS NM Cohort - Session 6 (October 9, 2024)

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Demystifying Artificial Intelligence (AI) for K-12 | All4Ed

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Artificial intelligence (AI) is not a new concept, however, the recent proliferation of generative AI tools across society has impact on teaching and learning.

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Artificial Intelligence in Education: Our Vision

Digital Promise's vision for artificial intelligence (AI) in education puts people first. We envision safe, equitable, and meaningful AI in education using emerging technologies to improve education by enhancing how we teach and learn.

Digital Promise is focused on AI in education to foster a future where every person engages in sustained and impactful experiences of powerful learning that lead to a life of well-being, fulfillment, and economic mobility.

Our work at the intersection of research, practice, and technology helps us connect the dots between what we know teachers and learners need, and the innovations that technology developers are creating. By centering people in the development and use of emerging technologies like generative AI, success for every learner won't be a goal-it'll be a given.

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Artificial Intelligence in Education - Digital Promise

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International Society for Technology in Education

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Download this free report on how GenAI is transforming classrooms and providing a framework for EPP leaders to navigate their GenAI journey.

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Microsoft works with communities, nonprofits, education institutions, businesses, and governments to help people excluded from the digital economy gain the skills, knowledge, and opportunity to gain jobs and livelihoods. Learn about AI and access resources and training on in-demand AI and machine learning skills for jobs and organizations.

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The Shape of the Future Report

How education System Leaders can respond to the provocations of Artificial Intelligence ​​

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​This report charts a project that ran between February and July 2024 involving leaders from 23 Multi-Academy Trusts and school groups, encompassing 413 schools, 32,000 staff, and approximately 250,000 students across England. The work is unique - the first of its kind to explore the realities of AI in education with such a large group of participants.

The Shape of the Future Report

Launching at the UK's House of Lords on Wednesday 18th September to a group of experts, this report charts a project that ran between February and July 2024 involving leaders from 23 Multi Academy Trusts (MATs) and school groups, encompassing 413 schools, 32,000 staff, and approximately 250,000 students across England. The project, supported by Educate Ventures Research (EVR) and a group of international experts, examines how MATs and school groups should respond to the challenges and opportunities presented by AI in education.

The report includes an MAT AI Guidance Framework, offering a structured approach for Multi Academy Trusts to integrate AI into education. Comprising 10 key question sets, this framework addresses crucial aspects of AI implementation, from strategy to ethics. It guides MAT leaders in developing a comprehensive approach to leveraging AI's potential while managing its challenges in educational settings.

Download the Full Report

The report stresses the need for thoughtful AI integration in education, balancing innovation with human elements to enhance, not replace, crucial learning interactions.

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Findings highlight the importance of a nuanced, context-specific approach to AI in education, emphasizing ongoing collaboration and research to maximize benefits while addressing challenges.

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Background

This report is the culmination of a project bringing together leaders from a group of Multi Academy Trusts (MATs) and families of schools who collectively represent the leadership of 413 schools, approximately 32,000 staff and ¼ million young people across England.

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The report is designed for those involved in school-specific system leadership, including the many stakeholders working within and around schools to support a safe, purposeful and intelligent approach to the use of AI by young people and the schools workforce. It provides:

A structure to guide school and group leaders as they navigate their way through responding to the many provocations and considerations raised by AI.

A series of insights and recommendations from school leaders at the very front of conversation in this space.

What do we mean by AI in schools?

There are many definitions of AI and a wide range of opinions about what constitutes the 'right' definition. For the purposes of this project, we have been guided by the European Commission High-Level Expert Group on AI definition:

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Artificial intelligence (AI) refers to systems that display intelligent behaviour by analysing their environment and taking actions -- with some degree of autonomy -- to achieve specific goals. AI-based systems can be purely software-based, acting in the virtual world (e.g. voice assistants, image analysis software, search engines, speech and face recognition systems) or AI can be embedded in hardware devices (e.g. advanced robots, autonomous cars, drones or Internet of Things applications).

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This definition is not specific to generative AI of the sort used by tools like ChatGPT and it is important to be clear about what this project refers to by the use of AI, because since the launch of Chat GPT in November 2022, the term 'AI' has often been incorrectly attributed just to Large Language Models (LLM) becoming accessible to everyday consumers. This misuse of the term AI is unhelpful because it sidelines products that utilise AI functionality (e.g. data analytics, adaptive learning tools, chatbots, image generators etc), and suggests that the presence of AI is on an opt-in basis - ignoring the aggressive permeation of AI in the everyday lives of children and adults as global citizens (e.g. facial recognition, location tracking, educational user data, organisations combining complex personal consumer datasets). This is important, because these issues become central to how children and adults experience their lives holistically - not just within school. With societal issues historically tending to become school priorities (Brighouse & Waters, 2021), a pro-active response to this contemporary consideration by school system leaders becomes vital. Other nations, including Singapore have already recognised this and begun a country-wide strategic intervention, with specific leadership within education.

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In a contemporary landscape, conversations concerned with AI in schools are likely to be provocative, and conversations which pivot specifically around AI tools are likely to change rapidly from one week to the next. Reflecting this fast pace of change, a great deal has been written and spoken about AI in education, particularly in the last few years. A wide range of perspectives have been seen and heard, with many feeling deeply passionate about particular viewpoints or issues. This project does not intend to replicate those insights, concerns or arguments here. Instead, colleagues wishing to read contemporary, evidence-based material on AI aimed specifically at school leadership, are instead signposted to:

Machine Learning and Human Intelligence: the future of education for the 21st century (2018) Luckin, R. (Originally published buy IOE Press, now freely downloadable here: https://www.educateventures.com/resources

Co-intelligence: Living and working with AI. (2024) Mollick, E. Portfolio (Penguin Random House).

The fourth education revolution (2018) will artificial intelligence liberate or infantilise humanity: Seldon, A., and Abidoye, O.: Buckingham, University of Buckingham.

AI for School Teachers (2022) Luckin, R., George, K. and Cukurova, M Routledge, London

Understanding AI for School: tips for school leaders (2023) Teacher Development Trust.

In the report that follows we first contextualise the field of AI in education with a brief review of the literature. We then describe the MAT AI Guidance Framework and provide thematic project findings. With each finding, there are recommendations which school and education system leaders are encouraged to consider in relation to their own role and future actions. There is also an appendix with greater detail about the research that has been completed as part of this project. We very much hope that readers will enjoy reading this report and find its contents useful as they navigate their engagement with AI.

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The Shape of the Future Report | Professor Rose Luckin's EDUCATE Ventures Research | AI for Education

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This report charts a project that ran between February and July 2024 involving leaders from 23 Multi-Academy Trusts and school groups, encompassing 413 schools, 32,000 staff, and approximately 250,000 students across England. The work is unique - the first of its kind to explore the realities of AI in education with such a large group of participants.

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Overview of the EDSAFE AI SAFE framework for educators, policymakers, and the education community. Focused on safe, accountable, fair transparent, and efficacious AI use in education

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AI Literacy Lessons for Grades 6–12 | Common Sense Education

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Quick, grab-and-go lessons to teach your students how to be ethical and empowered users of artificial intelligence.

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Out of the laboratory and into the classroom: the future of artificial intelligence in education

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Like previous educational technologies, artificial intelligence in education (AIEd) threatens to disrupt the status quo, with proponents highlighting the potential for efficiency and democratization, and skeptics warning of industrialization and…

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Digital Education Council Global AI Student Survey 2024

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The Digital Education Council Global AI Student Survey aims to provide insights into student perceptions around artificial intelligence (AI) in higher education to inform decision-making for university leadership. The report covers the status of AI usage and readiness, student perception of AI use cases, expectations and preferences on university actions on AI, satisfaction with institutions’ AI adoption, concerns and key attributes for AI use.

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Learning Systems: Shaping the Role of Artificial Intelligence in Education | Bellwether

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A national nonprofit focused on dramatically improving education and life outcomes for systemically marginalized young people and their communities.

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View of The Untold Story of Training Students with Generative AI: Are We Preparing Students for True Learning or Just Personalization?

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Guiding The Future Of Learning And Innovation Empowering educators, students, families, and other education stakeholders by fostering a dynamic ecosystem that leverages AI to enhance learning, equity, and educational outcomes. AI Principles The Education Technology Industry's Principles for the Future of AI in Education Learn More Responsible Innovation Responsible Innovation: Shaping AI in Education.

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Artificial Intelligence and Extraordinary Learning for All - Transcend Education

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With the help of artificial intelligence (AI), achieving extraordinary, equitable learning for our young people may be more possible than ever. The potential uses for AI in learning environments are extensive. If these varied uses are applied to equitably transform student experiences for the 21st century, there could be an array of benefits. However, if…