teachers

“AI agents arrive in US classrooms” [Rajkumar] + other items re: AI in our learning ecosystems

On 04/25/2025, in Artificial Intelligence/Agents/LLMs/and Related, colleges, community colleges, content development, aggregation, repositories, creativity, education, education technology, emerging technologies, experimentation, faculty/staff, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, personalized/customized learning, podcasting, research, teachers, teaching & learning, trends, UK, United States, universities, vendors, by Daniel Christian

AI agents arrive in US classrooms — from zdnet.com by Radhika Rajkumar
Kira AI’s personalized learning platform is currently being implemented in Tennessee schools. How will it change education?

AI for education is a new but rapidly expanding field. Can it support student outcomes and help teachers avoid burnout?

On Wednesday, AI education company Kira launched a “fully AI-native learning platform” for K-12 education, complete with agents to assist teachers with repetitive tasks. The platform hosts assignments, analyzes progress data, offers administrative assistance, helps build lesson plans and quizzes, and more.

“Unlike traditional tools that merely layer AI onto existing platforms, Kira integrates artificial intelligence directly into every educational workflow — from lesson planning and instruction to grading, intervention, and reporting,” the release explains. “This enables schools to improve student outcomes, streamline operations, and provide personalized support at scale.”

Also relevant/see:

Coursera Founder Andrew Ng’s New Venture Brings A.I. to K–12 Classrooms — from observer.com by Victor Dey
Andrew Ng’s Kira Learning uses A.I. agents to transform K–12 education with tools for teachers, students and administrators.

“Teachers today are overloaded with repetitive tasks. A.I. agents can change that, and free up their time to give more personalized help to students,” Ng said in a statement.

Kira was co-founded by Andrea Pasinetti and Jagriti Agrawal, both longtime collaborators of Ng. The platform embeds A.I. directly into lesson planning, instruction, grading and reporting. Teachers can instantly generate standards-aligned lesson plans, monitor student progress in real time and receive automated intervention strategies when a student falls behind.

Students, in turn, receive on-demand tutoring tailored to their learning styles. A.I. agents adapt to each student’s pace and mastery level, while grading is automated with instant feedback—giving educators time to focus on teaching.

‘Using GenAI is easier than asking my supervisor for support’ — from timeshighereducation.com
Doctoral researchers are turning to generative AI to assist in their research. How are they using it, and how can supervisors and candidates have frank discussions about using it responsibly?

Generative AI is increasingly the proverbial elephant in the supervisory room. As supervisors, you may be concerned about whether your doctoral researchers are using GenAI. It can be a tricky topic to broach, especially when you may not feel confident in understanding the technology yourself.

While the potential impact of GenAI use among undergraduate and postgraduate taught students, especially, is well discussed (and it is increasingly accepted that students and staff need to become “AI literate”), doctoral researchers often slip through the cracks in institutional guidance and policymaking.

AI as a Thought Partner in Higher Education — from er.educause.edu by Brian Basgen

When used thoughtfully and transparently, generative artificial intelligence can augment creativity and challenge assumptions, making it an excellent tool for exploring and developing ideas.
…
The glaring contrast between the perceived ubiquity of GenAI and its actual use also reveals fundamental challenges associated with the practical application of these tools. This article explores two key questions about GenAI to address common misconceptions and encourage broader adoption and more effective use of these tools in higher education.

AI for Automation or Augmentation of L&D? — from drphilippahardman.substack.com by Dr. Philippa Hardman
An audio summary of my Learning Technologies talk

Like many of you, I spent the first part of this week at Learning Technologies in London, where I was lucky enough to present a session on the current state of AI and L&D.

In this week’s blog post, I summarise what I covered and share an audio summary of my paper for you to check out.

Bridging the AI Trust Gap — from chronicle.com by Ian Wilhelm, Derek Bruff, Gemma Garcia, and Lee Rainie

In a 2024 Chronicle survey, 86 percent of administrators agreed with the statement: “Generative artificial intelligence tools offer an opportunity for higher education to improve how it educates, operates, and conducts research.” In contrast, just 55 percent of faculty agreed, showing the stark divisions between faculty and administrative perspectives on adopting AI.

Among many faculty members, a prevalent distrust of AI persists — and for valid reasons. How will it impact in-class instruction? What does the popularity of generative AI tools portend for the development of critical thinking skills for Gen-Z students? How can institutions, at the administrative level, develop policies to safeguard against students using these technologies as tools for cheating?

Given this increasing ‘trust gap,’ how can faculty and administrators work together to preserve academic integrity as AI seeps into all areas of academia, from research to the classroom?

Join us for “Bridging the AI Trust Gap,” an extended, 75-minute Virtual Forum exploring the trust gap on campus about AI, the contours of the differences, and what should be done about it.

Culminating Art Projects That Boost Students’ Confidence — from edutopia.org by Mary Beth Hertz
At the end of the year, high school students enjoy the opportunity to create a final product dictated by their own interests.

Boosting Engagement by Taking Math Outdoors — from edutopia.org by Sandy Vorensky
Bringing elementary students outside for math lessons provides a welcome change of pace and a chance for new activities.

Using a School Mural Project to Showcase Students’ Growth — from edutopia.org by Gloria Sevilla
Step-by-step instructions from an elementary school educator whose annual mural assignment is displayed at the spring open house.

How to Help Students Avoid Procrastinating — from edutopia.org by Sarah Kesty
A simple strategy can help students map out their assignments in manageable chunks so they can stay on top of their work.

Long-term projects and assignments present a unique challenge for many students, requiring several layers of executive function skills, like planning and time management, to be able to manage steps over an extended period of time. Much to our frustration, students may procrastinate or avoid working on an assignment when it seems overwhelming. This can lead to late, missing, or incomplete work, or it can push students into a stressful all-nighter, as they complete an assignment designed to take weeks in the span of just a few hours.

An effective way to address the challenges of overwhelm and procrastination—and a way that requires only a tweak to your teaching instead of another task on your plate—is to teach students to “scan and plan.” Scan and plans happen during the introduction of an assignment, usually one that takes more than a few steps. Teachers organically fold in the scan and plan approach as a layer to the assignment’s announcement to the class.

Higher Ed Institutions Rely Less on OPMs While Increasingly Hiring Fee-For-Service Models — from iblnews.org

A market report from Validated Insights released this month notes that fewer colleges and universities hire external online program management (OPM) companies to develop their courses.

For 2024, higher education institutions launched only 81 new partnerships with OPMs — a drop of 42% and the lowest number since 2016.

The report showed that institutions increasingly pay OPMs a fee-for-service instead of following a revenue-sharing model with big service bundles and profit splits.

Experts say revenue-sharing models, which critics denounce as predatory arrangements, incentivize service providers to use aggressive recruiting tactics to increase enrollments and maximize tuition revenue.

According to the report, fee-for-service has become the dominant business model for OPMs.

6 Online Edtech Professional Learning Communities & Resources for Teachers — from techlearning.com by Stephanie Smith Budhai, Ph.D.
These resources can help provide training, best practices, and advice, for using digital tools such as Canva, Curipod, Kahoot!, and more

While school-led professional development can be helpful, there are online professional learning communities on various edtech websites that can be leveraged. Also, some of these community spaces offer the chance to monetize your work.

Here is a summary of six online edtech professional learning spaces.

Translating Competency Based Education (CBE) Vision into Learning Design [reDesign]

On 04/17/2025, in competency-based learning/education, education, education reform, ideas, instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, podcasting, teachers, United States, by Daniel Christian

FOOD FOR THOUGHT + DISCUSSION
Translating CBE Vision into Learning Design

What if your Portrait of a Graduate could shape every unit, lesson, and conversation you’re building? Check out one of our most requested resources, The Teacher’s First Steps Guide, created in partnership with schools in South Carolina.
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Unpack the vision.
Start with small-group conversations about your graduate profile – where are you aligned? What feels fuzzy?

Connect to practice.
Use Future9 or your own framework to translate vision into observable skills.

Prototype with purpose.
Invite teachers to refine a task or lesson using one of the guide’s steps

Addendum on 4/21/25:

A Close Look at Competency-Based Learning — from cultofpedagogy.com by Jennifer Gonzalez

And despite not getting that original question answered, the search did lead me to something called competency-based learning. Although I was vaguely familiar with it — I believed it was in the same ballpark as standards-based learning and mastery learning, which we’ve seen in the Modern Classrooms approach — I had never looked closely at it. So I’m doing that now. I invited three people onto the podcast who have a lot of experience and success with this approach:

Susie Bell, Executive Director of Programs at the Mastery Transcript Consortium (MTC), an organization that supports schools in implementing competency-based learning.
Heather Messer, a teacher and advisor at a Wisconsin school where competency-based learning is a school-wide practice.
Beth Blankenship, an English teacher who has figured out how to use competency-based learning at her Virginia high school, a school that still uses traditional grading.

Why agency is becoming a new buzzword in educational circles [Davies]

On 04/11/2025, in education, education reform, instructional design, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, learning preferences, more voice more choice more control, student-related, teachers, United States, youth, by Daniel Christian

Why agency is becoming a new buzzword in educational circles — from jerseyeveningpost.com by by Megan Davies
When people believe that they can effectively navigate life challenges, it’s easier to find the resilience and persistence that is needed

The term agency has gained increasing attention as educators and researchers emphasise the importance of providing students with a greater sense of ownership and competence in their learning journeys. Equally, agency has relevance to anyone who seeks to become more self-directed, confident, and be able to adapt to the challenges of a volatile, uncertain, complex and ambiguous world. There is no running away from the fact that, for most people, there is a need for a mindset that facilitates the capabilities for lifelong learning, personal responsibility and resilience.

Learners need: More voice. More choice. More control. -- this image was created by Daniel Christian

How might the memory of an AI — over time — impact personalized and lifelong learning? [Christian]

On 04/11/2025, in 21st century, 24x7x365 access, adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, cloud-based computing / apps / other cloud-related, colleges, community colleges, corporate universities / corporate training, Daniel S. Christian, education, education reform, education technology, emerging technologies, experimentation, faculty/staff, formal learning, future, future of higher education, game-changing environment, generational differences, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, informal learning, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, lifelong learning, online learning, online media, online tutoring, personalized/customized learning, platforms, skills, society, student-related, teachers, teaching & learning, teaching online, technologies for your home, training / L&D, trends, universities, vendors, vision/possibilities, web-based collaboration, by Daniel Christian

From DSC:
After seeing Sam’s posting below, I can’t help but wonder:

How might the memory of an AI over time impact the ability to offer much more personalized learning?
How will that kind of memory positively impact a person’s learning-related profile?
Which learning-related agents get called upon?
Which learning-related preferences does a person have while learning about something new?
Which methods have worked best in the past for that individual? Which methods didn’t work so well with him or her?

we have greatly improved memory in chatgpt–it can now reference all your past conversations!

this is a surprisingly great feature imo, and it points at something we are excited about: ai systems that get to know you over your life, and become extremely useful and personalized.

— Sam Altman (@sama) April 10, 2025

Starting today, memory in ChatGPT can now reference all of your past chats to provide more personalized responses, drawing on your preferences and interests to make it even more helpful for writing, getting advice, learning, and beyond. pic.twitter.com/s9BrWl94iY

— OpenAI (@OpenAI) April 10, 2025

Do I Need a Degree in Instructional Design? It Depends. [teamedforlearning.com]

On 04/11/2025, in adjunct faculty, career development, change, corporate universities / corporate training, credentialing, education, faculty/staff, instructional design, learning, learning ecosystem, Learning Experience Design, learning theories, skills, teachers, teaching & learning, workplace, by Daniel Christian

Do I Need a Degree in Instructional Design? It Depends. — from teamedforlearning.com

It’s a common question for those considering a career in instructional design: Do I need a degree to land a job? The answer? It depends.

Hiring managers aren’t just looking for a degree—they want proof that you have the knowledge, skills, and abilities to succeed. In fact, most employers focus on 3 key factors when assessing candidates. You typically need at least 2 of these to be considered:

A Credential – A degree or certification in instructional design, learning experience design, or a related field.
Relevant Work Experience – Hands-on experience designing and developing learning solutions.
Proof of Abilities – A strong portfolio showcasing eLearning modules, course designs, or learning strategies.

The good news? You don’t have to spend years earning a degree to break into the field. If you’re resourceful, you can fast-track your way in through volunteer projects, contract work, and portfolio building.

Whether you’re a recent graduate, a career changer, or a working professional looking for your next opportunity, focusing on these key factors can help you stand out and get hired.

“AI agents that can train thousands of employees simultaneously” [Nuñez], “Introducing Claude for Education” [Anthropic], + other items re: AI in our LEs

On 04/03/2025, in adult learning, Artificial Intelligence/Agents/LLMs/and Related, chemistry, cloud-based computing / apps / other cloud-related, colleges, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, design, education technology, emerging technologies, experimentation, future, future of higher education, game-changing environment, generational differences, Google, graphics, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning spaces, lifelong learning, mathematics, multimedia, Open AI, pedagogy, platforms, productivity / tips and tricks, student-related, teachers, teaching & learning, tools, training / L&D, trends, United States, universities, vendors, workplace, youth, by Daniel Christian

Uplimit raises stakes in corporate learning with suite of AI agents that can train thousands of employees simultaneously — from venturebeat.com by Michael Nuñez|

Uplimit unveiled a suite of AI-powered learning agents today designed to help companies rapidly upskill employees while dramatically reducing administrative burdens traditionally associated with corporate training.

The San Francisco-based company announced three sets of purpose-built AI agents that promise to change how enterprises approach learning and development: skill-building agents, program management agents, and teaching assistant agents. The technology aims to address the growing skills gap as AI advances faster than most workforces can adapt.

“There is an unprecedented need for continuous learning—at a scale and speed traditional systems were never built to handle,” said Julia Stiglitz, CEO and co-founder of Uplimit, in an interview with VentureBeat. “The companies best positioned to thrive aren’t choosing between AI and their people—they’re investing in both.”

Introducing Claude for Education — from anthropic.com

Today we’re launching Claude for Education, a specialized version of Claude tailored for higher education institutions. This initiative equips universities to develop and implement AI-enabled approaches across teaching, learning, and administration—ensuring educators and students play a key role in actively shaping AI’s role in society.

As part of announcing Claude for Education, we’re introducing:

Learning mode: A new Claude experience that guides students’ reasoning process rather than providing answers, helping develop critical thinking skills
University-wide Claude availability: Full campus access agreements with Northeastern University, London School of Economics and Political Science (LSE), and Champlain College, making Claude available to all students
Academic partnerships: Joining Internet2 and working with Instructure to embed AI into teaching & learning with Canvas LMS
Student programs: A new Claude Campus Ambassadors program along with an initiative offering API credits for student projects

A comment on this from The Rundown AI:

Why it matters: Education continues to grapple with AI, but Anthropic is flipping the script by making the tech a partner in developing critical thinking rather than an answer engine. While the controversy over its use likely isn’t going away, this generation of students will have access to the most personalized, high-quality learning tools ever.

Should College Graduates Be AI Literate? — from chronicle.com by Beth McMurtrie (behind a paywall)
More institutions are saying yes. Persuading professors is only the first barrier they face.

Last fall one of Jacqueline Fajardo’s students came to her office, eager to tell her about an AI tool that was helping him learn general chemistry. Had she heard of Google NotebookLM? He had been using it for half a semester in her honors course. He confidently showed her how he could type in the learning outcomes she posted for each class and the tool would produce explanations and study guides. It even created a podcast based on an academic paper he had uploaded. He did not feel it was important to take detailed notes in class because the AI tool was able to summarize the key points of her lectures.

Showing Up for the Future: Why Educators Can’t Sit Out the AI Conversation — from marcwatkins.substack.com with a guest post from Lew Ludwig

The Risk of Disengagement
Let’s be honest: most of us aren’t jumping headfirst into AI. At many of our institutions, it’s not a gold rush—it’s a quiet standoff. But the group I worry most about isn’t the early adopters. It’s the faculty who’ve decided to opt out altogether.

That choice often comes from a place of care. Concerns about data privacy, climate impact, exploitative labor, and the ethics of using large language models are real—and important. But choosing not to engage at all, even on ethical grounds, doesn’t remove us from the system. It just removes our voices from the conversation.

And without those voices, we risk letting others—those with very different priorities—make the decisions that shape what AI looks like in our classrooms, on our campuses, and in our broader culture of learning.

Turbocharge Your Professional Development with AI — from learningguild.com by Dr. RK Prasad

You’ve just mastered a few new eLearning authoring tools, and now AI is knocking on the door, offering to do your job faster, smarter, and without needing coffee breaks. Should you be worried? Or excited?

If you’re a Learning and Development (L&D) professional today, AI is more than just a buzzword—it’s transforming the way we design, deliver, and measure corporate training. But here’s the good news: AI isn’t here to replace you. It’s here to make you better at what you do.

The challenge is to harness its potential to build digital-ready talent, not just within your organization but within yourself.

Let’s explore how AI is reshaping L&D strategies and how you can leverage it for professional development.

5 Recent AI Notables — from automatedteach.com by Graham Clay

1. OpenAI’s New Image Generator
What Happened: OpenAI integrated a much more powerful image generator directly into GPT-4o, making it the default image creator in ChatGPT. Unlike previous image models, this one excels at accurately rendering text in images, precise visualization of diagrams/charts, and multi-turn image refinement through conversation.

Why It’s Big: For educators, this represents a significant advancement in creating educational visuals, infographics, diagrams, and other instructional materials with unprecedented accuracy and control. It’s not perfect, but you can now quickly generate custom illustrations that accurately display mathematical equations, chemical formulas, or process workflows — previously a significant hurdle in digital content creation — without requiring graphic design expertise or expensive software. This capability dramatically reduces the time between conceptualizing a visual aid and implementing it in course materials.
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The 4 AI modes that will supercharge your workflow — from aiwithallie.beehiiv.com by Allie K. Miller
The framework most people and companies won’t discover until 2026

Outsourcing Thought: The Hidden Cost of Letting AI Think for You — from linkedin.com by Robert Atkinson

I’ve watched it unfold in real time. A student submits a flawless coding assignment or a beautifully written essay—clean syntax, sharp logic, polished prose. But when I ask them to explain their thinking, they hesitate. They can’t trace their reasoning or walk me through the process. The output is strong, but the understanding is shallow. As a professor, I’ve seen this pattern grow more common: AI-assisted work that looks impressive on the surface but reveals a troubling absence of cognitive depth underneath.

This article is written with my students in mind—but it’s meant for anyone navigating learning, teaching, or thinking in the age of artificial intelligence. Whether you’re a student, educator, or professional, the question is the same: What happens to the brain when we stop doing our own thinking?

We are standing at a pivotal moment. With just a few prompts, generative AI can produce essays, solve complex coding problems, and summarize ideas in seconds. It feels efficient. It feels like progress. But from a cognitive neuroscience perspective, that convenience comes at a hidden cost: the gradual erosion of the neural processes that support reasoning, creativity, and long-term learning.

Some tips for educators from eduptopia.org

On 04/02/2025, in education, engagement / engaging students, ideas, instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, student-related, teachers, by Daniel Christian

3 Strategies for Asking Better Questions. — from edutopia.org by Cathleen Beachboard
By reframing your questions slightly, you can create more opportunities for students to think deeply, reflect, and engage.

Try these reframes:

Instead of Why didn’t you finish the assignment? ask, What helped you complete the parts you did finish?
Instead of What’s the problem with this argument? ask, What’s a strength in this argument that you could build on?

Tip for question formation: Identify the problem-based question, shift the focus to strengths or opportunities, and ask in a way that encourages forward movement.

Using Weekly Routines to Build Speaking Skills — from edutopia.org by Marianne Rule
These six strategies guide students to build confidence in their speaking skills through low-stakes, highly engaging discussions.

By making dialogue a daily practice, we equip students not just for academic success but for meaningful engagement with the world. Even small shifts—like dedicating five minutes to student-generated prompts—can positively shape classroom culture at a time when conversations can feel like battles that are won or lost.

What to Do When Your Lesson Goes Kaput — from edutopia.org by Sarah Gonser
Teacher-tested strategies for handling instructional snafus—including when to call it quits on a lesson and regroup.

To put you back on track, we checked in with veteran teachers across grade levels, set the scene, and asked for guidance.

5 Axioms to Promote Deeper Discussions — from edutopia.org by Matthew R. Kay
Getting students engaged in sustained conversations requires a combination of inquiry, routine, and relationship building.

All great discussions have one thing in common, whether they exist in a classroom, a barber shop, a boardroom, or on a marriage counselor’s couch: inquiry. All participants in a great discussion are trying to figure something out.

Sometimes it starts like this:

How Letting Go of Perfectionism Made Me a Better Teacher — from edutopia.org by Michelle Singh
Shifting the focus of a classroom from performance to process means embracing mistakes as a necessary part of learning.

The good news? Every mindset we challenge opens the door to deeper learning, stronger student connections, and a more fulfilling teaching experience. Shifting even one of these beliefs can create lasting change—for both you and your students. Choose one shift to try this week, and notice what changes.

7 ways to use ChatGPT’s new image AI — from wondertools.substack.com by Jeremy Caplan
Transform your ideas into strong visuals

7 ways to use ChatGPT’s new image AI

Cartoons
Infographics
Posters
…plus several more

AI in Education Survey: What UK and US Educators Think in 2025 — from twinkl.com
As artificial intelligence (AI) continues to shape the world around us, Twinkl conducted a large-scale survey between January 15th and January 22nd to explore its impact on the education sector, as well as the work lives of teachers across the UK and the USA.

Teachers’ use of AI for work continues to rise
Twinkl’s survey asked teachers whether they were currently using AI for work purposes. Comparing these findings to similar surveys over recent years shows the use of AI tools by teachers has seen a significant increase across both the UK and USA.

According to two UK surveys by the National Literacy Trust – 30% of teachers used generative AI in 2023 and nearly half (47.7%) in 2024. Twinkl’s survey indicates that AI adoption continues to rise rapidly, with 60% of UK educators currently integrating it into their work lives in 2025.
Similarly, with 62% of US teachers currently using AI for work, uptake appears to have risen greatly in the past 12 months, with just 25% saying they were leveraging the new technology in the 2023-24 school year according to a RAND report.
Teachers are using AI more for work than in their personal lives: In the UK, personal usage drops to 43% (from 60% at school). In the US, 52% are using AI for non-work purposes (versus 62% in education settings).

60% of UK teachers and 62% of US teachers use AI in their work life in 2025.

What trauma-informed practice is not — from timeshighereducation.com by Kate Cantrell, India Bryce, and Jessica Gildersleeve from The University of Southern Queensland
Before trauma-informed care can be the norm across all areas of the university, academic and professional staff need to understand what it is. Here, three academics debunk myths and demystify best practice

Recently, we conducted focus groups at our university to better ascertain how academics, administrators and student support staff perceive the purpose and value of trauma-informed practice, and how they perceive their capacity to contribute to organisational change.

We discovered that while most staff were united on the importance of trauma-informed care, several myths persist about what trauma-informed practice is (and is not). Some academic staff, for example, conflated teaching about trauma with trauma-informed teaching, confused trigger warnings with trigger points and, perhaps most alarmingly – given the prevalence of trauma exposure and risk among university students – misjudged trauma-informed practice as “the business of psychologists” rather than educators.

OpenAI opens OpenAI Academy — A free, online platform to help people gain AI literacy

On 03/28/2025, in 21st century, 24x7x365 access, adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, bots, career development, change, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, curriculum, digital audio, digital learning, digital video, economics, education technology, emerging technologies, experimentation, faculty/staff, future, game-changing environment, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), informal learning, intelligent systems, IT in HE, K-12 related, law schools, learning ecosystem, multimedia, new media literacies, online learning, online media, online tutoring, Open AI, open courseware and systems, platforms, productivity / tips and tricks, professional development, skills, social learning / networks, society, staying relevant, student teaching/teacher education, student-related, teachers, teaching & learning, technologies for your home, tools, trends, United States, universities, vendors, workplace, youth, by Daniel Christian

Students and folks looking for work may want to check out:

AI Career Prep: Resumes and Interviews

Also relevant/see:

OpenAI Launches OpenAI Academy: Free Guide To Understanding AI — from voi.id
OpenAI Launches OpenAI Academy to Drive AI Innovation in Low- and Middle-Income Countries — from startupsvibes.com by Emmaunel Daniji

The Third Horizon of Learning Shifting beyond the Industrial Model — from gettingsmart.com by Sujata Bhatt & Mason Pashia

Over 24 blog posts, we have sketched a bold vision of what this next horizon of education looks like in action and highlighted the many innovators working to bring it to life. These pioneers are building new models that prioritize human development, relationships, and real-world relevance as most valuable. They are forging partnerships, designing and adopting transformative technologies, developing new assessment methods, and more. These shifts transform the lived experiences of young people and serve the needs of families and communities. In short, they are delivering authentic learning experiences that better address the demands of today’s economy, society, and learners.

We’ve aggregated our findings from this blog series and turned it into an H3 Publication. Inside, you’ll find our key transformation takeaways for school designers and system leaders, as well as a full list of the contributing authors. Thank you to all of the contributors, including LearnerStudio for sponsoring the series and Sujata Bhatt at Incubate Learning for authorship, editing and curation support throughout the entirety of the series and publication.
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Learning Ecosystems

Do I Need a Degree in Instructional Design? It Depends. [teamedforlearning.com]

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