_EduAI

Empowering Learners for the Age of AI
Empowering Learners for the Age of AI
Scrolling through the OECD Framework for AILit “Empowering Learners for the Age of AI”. The AILit Framework connects knowledge, skills, and attitudes, and highlights the importance of ethical and critical understanding of AI. Young people must understand how AI works, appreciate its societal impact, and choose how to use it ethically in order to be prepared for a society and economy in the age of AI. I believe in keeping the human in the middle of this process and that means nurturing the “critical thinking skills necessary to understand, interact with, and innovate using digital technologies, preparing them to contribute meaningfully to society”.
·topgold.micro.blog·
Empowering Learners for the Age of AI
Should teachers use AI to write emails to parents? - Education Technology Society
Should teachers use AI to write emails to parents? - Education Technology Society
AI tools are now being sold with the promise of doing all sorts of routine tasks for teachers.We talk to Brad Robinson (Texas State University) about one such tool – MagicSchool AI – and the growing temptation for teachers to let GenAI do their work for them.Accompanying reference   Robinson, B. & Leander, K. (2025). ‘I hope this email finds you well’: how synthetic affect circulates through MagicSchool AI. Learning, Media and Technology, 1-13
·buzzsprout.com·
Should teachers use AI to write emails to parents? - Education Technology Society
The transparency dilemma: How AI disclosure erodes trust
The transparency dilemma: How AI disclosure erodes trust
When people disclosed using AI for their work — whether grading student assignments, writing job applications, creating investment advertisements, drafting performance reviews or even composing routine emails — others trusted them significantly less than if they'd said nothing at all.
·sciencedirect.com·
The transparency dilemma: How AI disclosure erodes trust
The Captain’s Chair
The Captain’s Chair

Purposeful, conscious, effortful integration. Take what comes from outside, a book, a conversation, an AI output and do the work of making it yours. Test it against experience. Reconcile it with what you already believe. Change your mind when you must and know why you are changing it. Be able to trace the path.

This is authenticity. Not purity of origin. Purposeful integration.

A person who writes with AI is not less authentic than a person who writes alone. A person who cannot explain their reasoning, who has lost the thread of their own integration, who has become a conduit for unassimilated outputs, has lost something essential, regardless of tools.

·hybridhorizons.substack.com·
The Captain’s Chair
AIAS Translations
AIAS Translations
AIAS Translations Thanks to our community of educators, we are able to share translations of the AIAS in a range of languages. Buttons link to previews, downloads, or editable originals. If you don…
·aiassessmentscale.com·
AIAS Translations
GenAI Community
GenAI Community
Welcome to the Gen AI community Hub! Join a global movement of innovators as we shape the future of work and business.
·community.genai.works·
GenAI Community
Microsoft To Provide Free AI Tools For Washington State Schools - Slashdot
Microsoft To Provide Free AI Tools For Washington State Schools - Slashdot
theodp writes: GeekWire reports that Microsoft is bringing artificial intelligence to every public classroom in its home state -- and sparking new questions about its role in education. The Redmond tech giant on Thursday unveiled Microsoft Elevate Washington, a sweeping new initiative that will pro...
·news.slashdot.org·
Microsoft To Provide Free AI Tools For Washington State Schools - Slashdot
AI Isn't a Curse. It's a Gift for College Learning.
AI Isn't a Curse. It's a Gift for College Learning.
The Chronicle of Higher Education recently ran a piece that offers a beautiful and evocative snapshot of intellectual life at its best. Its authors, Khafiz Kerimov and Nicholas Bellinson of St. John&r
·realcleareducation.com·
AI Isn't a Curse. It's a Gift for College Learning.
AI tutors coming to California Community Colleges
AI tutors coming to California Community Colleges
Commentary on AI tutors coming to California Community Colleges by Stephen Downes. Online learning, e-learning, new media, connectivism, MOOCs, personal learning environments, new literacy, and more
·downes.ca·
AI tutors coming to California Community Colleges
Hand in Hand: Schools’ Embrace of AI Connected to Increased Risks to Students
Hand in Hand: Schools’ Embrace of AI Connected to Increased Risks to Students
Artificial intelligence (AI) has continued to alter the educational experiences of teachers, students, and parents during the 2024-25 school year. The frequency and variety of AI uses continues to grow; at the same time, the increased use of AI in educational settings is correlated with heightened risks to students. This report details the current status […]
·cdt.org·
Hand in Hand: Schools’ Embrace of AI Connected to Increased Risks to Students
The wicked problem of AI and assessment
The wicked problem of AI and assessment

Our findings demonstrate that the GenAI-assessment challenge exhibits all ten characteristics of wicked problems. For instance, it resists definitive formulation, offers only better or worse rather than correct solutions, cannot be tested without consequence, and places significant responsibility on decision-makers. In the light of this redefinition of the AI and Assessment problem, we argue that educators require certain institutional permissions – including permission to compromise, diverge, and iterate – to appropriately navigate the assessment challenges they face.

Compromise: It allows educators to state plainly that this assessment prioritizes X at the expense of Y, and here is why. It transforms institutional culture from one that punishes imperfection to one that learns from it. When we stop seeking perfect solutions, we can start having honest conversations about which trade-offs serve our students best, which failures taught us most, and how to be thoughtfully imperfect rather than accidentally inadequate.

Permission to Diverge: At its core, ‘permission to diverge’ means accepting that successful practices in one educational context need not – and often should not – be replicated elsewhere. It is the recognition that divergent approaches to common challenges can reflect contextual wisdom rather than inconsistency or failure. By granting ourselves permission to diverge, we acknowledge that different contexts might require quite different responses. This recognises that quality manifests differently across years, disciplines, cohort sizes, and professional destinations. The business educator who integrates AI because employers demand it and the nursing educator who restricts it to ensure clinical competence are both appropriate. Divergence can reflect wisdom that we can easily mistake for confusion. This permission transforms institutional expectations from uniformity to fitness for purpose. Divergence becomes a sign of thoughtful response rather than institutional failure.

Permission to iterate: When AI capabilities transform monthly, when student behaviours shift each semester, and when professional requirements evolve constantly, the result can be that educators design assessments for yesterday’s technology, implemented with today’s students, preparing for tomorrow’s unknowns. Permission to iterate recognizes that wicked problems evolve continuously, making fixed solutions obsolete.

The permission to iterate recognizes wicked problems evolve continuously, making fixed solutions obsolete. This permission transforms assessment from a product to be delivered to a practice to be refined.

The path forward requires abandoning the search for silver bullets in favour of developing adaptive capacity. This means creating institutional structures that support educator decision-making rather than mandating uniform responses, recognizing divergent approaches as evidence of contextual wisdom rather than institutional inconsistency, and treating assessment iteration as professional development rather than design failure.

Our findings demonstrate that the GenAI-assessment challenge exhibits all ten characteristics of wicked problems. For instance, it resists definitive formulation, offers only better or worse rather than correct solutions, cannot be tested without consequence, and places significant responsibility on decision-makers. In the light of this redefinition of the AI and Assessment problem, we argue that educators require certain institutional permissions – including permission to compromise, diverge, and iterate – to appropriately navigate the assessment challenges they face.
It allows educators to state plainly that this assessment prioritizes X at the expense of Y, and here is why. It transforms institutional culture from one that punishes imperfection to one that learns from it. When we stop seeking perfect solutions, we can start having honest conversations about which trade-offs serve our students best, which failures taught us most, and how to be thoughtfully imperfect rather than accidentally inadequate.
At its core, ‘permission to diverge’ means accepting that successful practices in one educational context need not – and often should not – be replicated elsewhere. It is the recognition that divergent approaches to common challenges can reflect contextual wisdom rather than inconsistency or failure. By granting ourselves permission to diverge, we acknowledge that different contexts might require quite different responses. This recognises that quality manifests differently across years, disciplines, cohort sizes, and professional destinations. The business educator who integrates AI because employers demand it and the nursing educator who restricts it to ensure clinical competence are both appropriate. Divergence can reflect wisdom that we can easily mistake for confusion. This permission transforms institutional expectations from uniformity to fitness for purpose. Divergence becomes a sign of thoughtful response rather than institutional failure.
When AI capabilities transform monthly, when student behaviours shift each semester, and when professional requirements evolve constantly, the result can be that educators design assessments for yesterday’s technology, implemented with today’s students, preparing for tomorrow’s unknowns. Permission to iterate recognizes that wicked problems evolve continuously, making fixed solutions obsolete.The permission to iterate recognizes that wicked problems evolve continuously, making fixed solutions obsolete.
This permission transforms assessment from a product to be
This permission transforms assessment from a product to be delivered to a practice to be refined
The path forward requires abandoning the search for silver bullets in favour of developing adaptive capacity. This means creating institutional structures that support educator decision-making rather than mandating uniform responses, recognizing divergent approaches as evidence of contextual wisdom rather than institutional inconsistency, and treating assessment iteration as professional development rather than design failure.
·tandfonline.com·
The wicked problem of AI and assessment
Eduaide.Ai: AI Created for Teachers
Eduaide.Ai: AI Created for Teachers
AI for Teachers: Eduaide offers AI tools to create graphic organizers, engaging educational games, lesson plans, and high-quality instructional materials.
·eduaide.ai·
Eduaide.Ai: AI Created for Teachers
TeachShare
TeachShare
TeachShare is where lesson creation meets learning science - a leading platform for educators to create and differentiate instructional materials and curriculum with AI. Trusted by over 100,000 educators.
·teachshare.com·
TeachShare
Hugging Face Diffusion Course
Hugging Face Diffusion Course
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
·huggingface.co·
Hugging Face Diffusion Course
Hugging Face ML for 3D Course
Hugging Face ML for 3D Course
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
·huggingface.co·
Hugging Face ML for 3D Course
Hugging Face ML for Games Course
Hugging Face ML for Games Course
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
·huggingface.co·
Hugging Face ML for Games Course
Hugging Face Audio Course
Hugging Face Audio Course
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
·huggingface.co·
Hugging Face Audio Course