digital learning

CrashCourse on YouTube — via Matt Tower’s The EdSheet Vol. 18

Description:
At Crash Course, we believe that high-quality educational videos should be available to everyone for free! Subscribe for weekly videos from our current courses! The Crash Course team has produced more than 50 courses on a wide variety of subjects, ranging from the humanities to sciences and so much more! We also recently teamed up with Arizona State University to bring you more courses on the Study Hall channel.

And as Matt stated:

Hank Green’s 16M+ subscriber Crash Course Youtube channel is one the largest educational content providers in the world. Last week we learned that Green’s platform partnership with ASU generated 13,000 course enrollments and 2,000+ credits earned.

From DSC:
I wasn’t familiar with this “channel” — but I like their mission to help people learn…very inexpensively! Along these lines, I, too, pray for the world’s learning ecosystems — especially those belonging to children.

Now available: The 2025 Changing Landscape of Online Education (CHLOE) 10 Report

On 08/28/2025, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, business side of he, change, changing business models, collaboration, colleges, communications, communities of practice, community colleges, content development, aggregation, repositories, credentialing, culture, digital learning, education technology, face-to-face, faculty/staff, higher education, instructional design, IT in HE, law schools, leadership, learning, learning ecosystem, Learning Experience Design, learning preferences, learning spaces, liberal arts, new business models, online learning, online media, online tutoring, organizational change, policy, strategy, student-related, teaching & learning, teaching online, traditional / tradition, trends, United States, universities, vision/possibilities, by Daniel Christian

The 2025 Changing Landscape of Online Education (CHLOE) 10 Report — from qualitymatters.org; emphasis below from DSC

Notable findings from the 73-page report include:

Online Interest Surges Across Student Populations: …
Institutional Preparedness Falters Amid Rising Demand: Despite accelerating demand, institutional readiness has stagnated—or regressed—in key areas. …
The Online Education Marketplace Is Increasingly Competitive: …
Alternative Credentials Take Center Stage: …
AI Integration Lacks Strategic Coordination: …

Just 28% of faculty are considered fully prepared for online course design, and 45% for teaching. Alarmingly, only 28% of institutions report having fully developed academic continuity plans for future emergency pivots to online.

Also relevant, see:

Great Expectations, Fragile Foundations — from onedtech.philhillaa.com by Glenda Morgan
Lessons about growth from the CHLOE & BOnES reports

Cultural resistance remains strong. Many [Chief Online Learning Officers] COLOs say faculty and deans still believe in-person learning is “just better,” creating headwinds even for modest online growth. As one respondent at a four-year institution with a large online presence put it:

Supportive departments [that] see the value in online may have very different levels of responsiveness compared to academic departments [that] are begrudgingly online. There is definitely a growing belief that students “should” be on-ground and are only choosing online because it’s easy/ convenient. Never mind the very real and growing population of nontraditional learners who can only take online classes, and the very real and growing population of traditional-aged learners who prefer online classes; many faculty/deans take a paternalistic, “we know what’s best” approach.

…
Ultimately, what we need is not just more ambition but better ambition. Ambition rooted in a realistic understanding of institutional capacity, a shared strategic vision, investments in policy and infrastructure, and a culture that supports online learning as a core part of the academic mission, not an auxiliary one. It’s time we talked about what it really takes to grow online learning , and where ambition needs to be matched by structure.

From DSC:
Yup. Culture is at the breakfast table again…boy, those strategies taste good.

I’d like to take some of this report — like the graphic below — and share it with former faculty members and members of a couple of my past job families’ leadership. They strongly didn’t agree with us when we tried to advocate for the development of online-based learning/programs at our organizations…but we were right. We were right all along. And we were LEADING all along. No doubt about it — even if the leadership at the time said that we weren’t leading.

The cultures of those organizations hurt us at the time. But our cultivating work eventually led to the development of online programs — unfortunately, after our groups were disbanded, they had to outsource those programs to OPMs.

Arizona State University — with its dramatic growth in online-based enrollments.

What’s In Your Statement? — from aiedusimplified.substack.com by Lance Eaton, Ph.D.
Friendly reminder that there’s a Syllabi AI Policy Repository

AI Policy Resources

AI Syllabi Policy Repository: 180+ policies
AI Institutional Policy Repository: 17 policies

“The future of L&D is here, and it’s powered by AI.” [Cavalier] + other items re: AI in our LE’s

On 08/21/2025, in Artificial Intelligence/Agents/LLMs/and Related, bots, business, change, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, experimentation, faculty/staff, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learning, learning ecosystem, Learning Experience Design, learning preferences, multimedia, Open AI, platforms, tools, training / L&D, trends, United States, universities, vision/possibilities, by Daniel Christian

The future of L&D is here, and it’s powered by AI. — from linkedin.com by Josh Cavalier

4 Ways I Use AI to Think Better — from wondertools.substack.com by Jeremy Caplan
How AI helps me learn, decide, and create

Learn something new.
Map out a personalized curriculum

Try this: Give an AI assistant context about what you want to learn, why, and how.

Detail your rationale and motivation, which may impact your approach.
Note your current knowledge or skill level, ideally with examples.

Summarize your learning preferences

Note whether you prefer to read, listen to, or watch learning materials.
Mention if you like quizzes, drills, or exercises you can do while commuting or during a break at work.
If you appreciate learning games, task your AI assistant with generating one for you, using its coding capabilities detailed below.
Ask for specific book, textbook, article, or learning path recommendations using the Web search or Deep Research capabilities of Perplexity, ChatGPT, Gemini or Claude. They can also summarize research literature about effective learning tactics.
If you need a human learning partner, ask for guidance on finding one or language you can use in reaching out.

The Ends of Tests: Possibilities for Transformative Assessment and Learning with Generative AI

GPT-5 for Instructional Designers — from drphilippahardman.substack.com by Dr Philippa Hardman
10 Hacks to Work Smarter & Safer with OpenAI’s Latest Model

The TLDR is that as Instructional Designers, we can’t afford to miss some of the very real benefits of GPT-5’s potential, but we also can’t ensure our professional standards or learner outcomes if we blindly accept its outputs without due testing and validation.

For this reason, I decided to synthesise the latest GPT-5 research—from OpenAI’s technical documentation to independent security audits to real-world user testing—into 10 essential reality checks for using GPT-5 as an Instructional Designer.

These aren’t theoretical exercises; they’re practical tests designed to help you safely unlock GPT-5’s benefits while identifying and mitigating its most well-documented limitations.

Grammarly launches new specialist AI agents providing personalized assistance for students — from edtechinnovationhub.com by Rachel Lawler
Grammarly, an AI communication tool, has announced the launch of eight new specialized AI agents. The new assistants can support specific writing challenges such as finding credible sources and checking originality.

Students will now be offered “responsible AI support” through Grammarly, with the eight new agents:

Reader Reactions agent …
AI Grader agent …
Citation Finder agent …
Expert Review agent …
Proofreader agent …
AI Detector agent …
Plagiarism Checker agent …
Paraphraser agent …

Why Perplexity AI Is My Go-To Research Tool as a Higher Education CIO — from mikekentz.substack.com; a guest post from Michael Lyons, CIO at MassBay Community College

While I regularly use tools like ChatGPT, Grammarly, Microsoft Copilot, and even YouTube Premium (I would cancel Netflix before this), Perplexity has earned a top spot in my toolkit. It blends AI and real-time web search into one seamless, research-driven platform that saves time and improves the quality of information I rely on every day.

Bringing the best of AI to college students for free [Pichai] + plus other items re: AI in our LE’s

On 08/13/2025, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, bots, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, digital learning, education technology, emerging technologies, experimentation, faculty/staff, future, future of higher education, game-changing environment, generational differences, Google, higher education, homeschooling/homeschoolers, 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, learning hubs & pods & microschooling, learning spaces, liberal arts, library / librarians, lifelong learning, multimedia, online media, online tutoring, personalized/customized learning, platforms, productivity / tips and tricks, skills, society, student-related, teachers, teaching & learning, technologies for your home, tools, training / L&D, trends, United States, universities, vendors, vision/possibilities, by Daniel Christian

Bringing the best of AI to college students for free — from blog.google by Sundar Pichai

Millions of college students around the world are getting ready to start classes. To help make the school year even better, we’re making our most advanced AI tools available to them for free, including our new Guided Learning mode. We’re also providing $1 billion to support AI education and job training programs and research in the U.S. This includes making our AI and career training free for every college student in America through our AI for Education Accelerator — over 100 colleges and universities have already signed up.
…
Guided Learning: from answers to understanding
AI can broaden knowledge and expand access to it in powerful ways, helping anyone, anywhere learn anything in the way that works best for them. It’s not about just getting an answer, but deepening understanding and building critical thinking skills along the way. That opportunity is why we built Guided Learning, a new mode in Gemini that acts as a learning companion guiding you with questions and step-by-step support instead of just giving you the answer. We worked closely with students, educators, researchers and learning experts to make sure it’s helpful for understanding new concepts and is backed by learning science.

Google introduces Guided Learning [Zau] + other items re: AI in our learning ecosystems

On 08/09/2025, in 21st century, 24x7x365 access, adjunct faculty, adult learning, Apple, Artificial Intelligence/Agents/LLMs/and Related, bots, career development, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, experimentation, faculty/staff, game-changing environment, Google, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning spaces, liberal arts, lifelong learning, online tutoring, personalized/customized learning, platforms, productivity / tips and tricks, research, skills, student-related, teachers, teaching & learning, teaching online, tools, training / L&D, trends, United States, universities, user experience (UX), vendors, vision/possibilities, by Daniel Christian

BREAKING: Google introduces Guided Learning — from aieducation.substack.com by Claire Zau
Some thoughts on what could make Google’s AI tutor stand out

Another major AI lab just launched “education mode.”

Google introduced Guided Learning in Gemini, transforming it into a personalized learning companion designed to help you move from quick answers to real understanding.

Instead of immediately spitting out solutions, it:

Asks probing, open-ended questions
Walks learners through step-by-step reasoning
Adapts explanations to the learner’s level
Uses visuals, videos, diagrams, and quizzes to reinforce concepts

This Socratic style tutor rollout follows closely behind similar announcements like OpenAI’s Study Mode (last week) and Anthropic’s Claude for Education (April 2025).

How Sci-Fi Taught Me to Embrace AI in My Classroom — from edsurge.com by Dan Clark

I’m not too naive to understand that, no matter how we present it, some students will always be tempted by “the dark side” of AI. What I also believe is that the future of AI in education is not decided. It will be decided by how we, as educators, embrace or demonize it in our classrooms.

My argument is that setting guidelines and talking to our students honestly about the pitfalls and amazing benefits that AI offers us as researchers and learners will define it for the coming generations.

Can AI be the next calculator? Something that, yes, changes the way we teach and learn, but not necessarily for the worse? If we want it to be, yes.

How it is used, and more importantly, how AI is perceived by our students, can be influenced by educators. We have to first learn how AI can be used as a force for good. If we continue to let the dominant voice be that AI is the Terminator of education and critical thinking, then that will be the fate we have made for ourselves.

AI Tools for Strategy and Research – GT #32 — from goodtools.substack.com by Robin Good
Getting expert advice, how to do deep research with AI, prompt strategy, comparing different AIs side-by-side, creating mini-apps and an AI Agent that can critically analyze any social media channel

In this issue, discover AI tools for:

Getting Expert Advice
Doing Deep Research with AI
Improving Your AI Prompt Strategy
Comparing Results from Different AIs
Creating an AI Agent for Social Media Analysis
Summarizing YouTube Videos
Creating Mini-Apps with AI
Tasting an Award-Winning AI Short Film

GPT-Building, Agentic Workflow Design & Intelligent Content Curation — from drphilippahardman.substack.com by Dr. Philippa Hardman
What 3 recent job ads reveal about the changing nature of Instructional Design

In this week’s blog post, I’ll share my take on how the instructional design role is evolving and discuss what this means for our day-to-day work and the key skills it requires.
…
With this in mind, I’ve been keeping a close eye on open instructional design roles and, in the last 3 months, have noticed the emergence of a new flavour of instructional designer: the so-called “Generative AI Instructional Designer.”

Let’s deep dive into three explicitly AI-focused instructional design positions that have popped up in the last quarter. Each one illuminates a different aspect of how the role is changing—and together, they paint a picture of where our profession is likely heading.

Designers who evolve into prompt engineers, agent builders, and strategic AI advisors will capture the new premium. Those who cling to traditional tool-centric roles may find themselves increasingly sidelined—or automated out of relevance.

Google to Spend $1B on AI Training in Higher Ed — from insidehighered.com by Katherine Knott

Google’s parent company announced Wednesday (8/6/25) that it’s planning to spend $1 billion over the next three years to help colleges teach and train students about artificial intelligence.

Google is joining other AI companies, including OpenAI and Anthropic, in investing in AI training in higher education. All three companies have rolled out new tools aimed at supporting “deeper learning” among students and made their AI platforms available to certain students for free.

5 Predictions for How AI Will Impact Community Colleges — from pistis4edu.substack.com by Feng Hou

Based on current technology capabilities, adoption patterns, and the mission of community colleges, here are five well-supported predictions for AI’s impact in the coming years.

Universal AI Tutor Access
AI as Active Teacher
Personalized Learning Pathways
Interactive Multimodal Learning
Value-Centric Education in an AI-Abundant World

“One-size-fits-all learning is about to become completely obsolete.” [Miller] + other items re: AI in our LE’s

On 08/05/2025, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, bots, CMS/LMS, collaboration, colleges, communities of practice, community colleges, content development, aggregation, repositories, digital learning, education technology, emerging technologies, experimentation, faculty/staff, game-changing environment, generational differences, Google, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, internet, IT in HE, K-12 related, law schools, leadership, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, liberal arts, lifelong learning, Microsoft, neurodivergent/special needs, NVIDIA, Open AI, personalized/customized learning, platforms, podcasting, productivity / tips and tricks, professional development, student-related, teachers, teaching & learning, tools, training / L&D, trends, United States, universities, usability, user experience (UX), user interface design, vendors, web-based collaboration, by Daniel Christian

One-size-fits-all learning is about to become completely obsolete. — from linkedin.com by Allie Miller

AI in the University: From Generative Assistant to Autonomous Agent This Fall — from insidehighered.com by
This fall we are moving into the agentic generation of artificial intelligence.

“Where generative AI creates, agentic AI acts.” That’s how my trusted assistant, Gemini 2.5 Pro deep research, describes the difference.
…
Agents, unlike generative tools, create and perform multistep goals with minimal human supervision. The essential difference is found in its proactive nature. Rather than waiting for a specific, step-by-step command, agentic systems take a high-level objective and independently create and execute a plan to achieve that goal. This triggers a continuous, iterative workflow that is much like a cognitive loop. The typical agentic process involves six key steps, as described by Nvidia:

AI in Education Podcast — from aipodcast.education by Dan Bowen and Ray Fleming

The State of AI in Education 2025 Key Findings from a National Survey — from Carnegie Learning

Our 2025 national survey of over 650 respondents across 49 states and Puerto Rico reveals both encouraging trends and important challenges. While AI adoption and optimism are growing, concerns about cheating, privacy, and the need for training persist.

Despite these challenges, I’m inspired by the resilience and adaptability of educators. You are the true game-changers in your students’ growth, and we’re honored to support this vital work.

This report reflects both where we are today and where we’re headed with AI. More importantly, it reflects your experiences, insights, and leadership in shaping the future of education.

Instructure and OpenAI Announce Global Partnership to Embed AI Learning Experiences within Canvas — from instructure.com

This groundbreaking collaboration represents a transformative step forward in education technology and will begin with, but is not limited to, an effort between Instructure and OpenAI to enhance the Canvas experience by embedding OpenAI’s next-generation AI technology into the platform.

IgniteAI announced earlier today, establishes Instructure’s future-ready, open ecosystem with agentic support as the AI landscape continues to evolve. This partnership with OpenAI exemplifies this bold vision for AI in education. Instructure’s strategic approach to AI emphasizes the enhancement of connections within an educational ecosystem comprising over 1,100 edtech partners and leading LLM providers.

“We’re committed to delivering next-generation LMS technologies designed with an open ecosystem that empowers educators and learners to adapt and thrive in a rapidly changing world,” said Steve Daly, CEO of Instructure. “This collaboration with OpenAI showcases our ambitious vision: creating a future-ready ecosystem that fosters meaningful learning and achievement at every stage of education. This is a significant step forward for the education community as we continuously amplify the learning experience and improve student outcomes.”

Faculty Latest Targets of Big Tech’s AI-ification of Higher Ed — from insidehighered.com by Kathryn Palmer
A new partnership between OpenAI and Instructure will embed generative AI in Canvas. It may make grading easier, but faculty are skeptical it will enhance teaching and learning.

The two companies, which have not disclosed the value of the deal, are also working together to embed large language models into Canvas through a feature called IgniteAI. It will work with an institution’s existing enterprise subscription to LLMs such as Anthropic’s Claude or OpenAI’s ChatGPT, allowing instructors to create custom LLM-enabled assignments. They’ll be able to tell the model how to interact with students—and even evaluate those interactions—and what it should look for to assess student learning. According to Instructure, any student information submitted through Canvas will remain private and won’t be shared with OpenAI.
…
Faculty Unsurprised, Skeptical
Few faculty were surprised by the Canvas-OpenAI partnership announcement, though many are reserving judgment until they see how the first year of using it works in practice.

Several items re: the new Study Mode from OpenAI

On 07/30/2025, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, bots, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, corporate / business world, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, experimentation, faculty/staff, future, future of higher education, game-changing environment, heutagogy, 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 hubs & pods & microschooling, liberal arts, library / librarians, online tutoring, Open AI, personalized/customized learning, platforms, productivity / tips and tricks, student-related, teachers, teaching & learning, technologies for your home, tools, training / L&D, United States, universities, user experience (UX), vendors, vision/possibilities, by Daniel Christian

BREAKING: OpenAI Releases Study Mode — from aieducation.substack.com by Claire Zau
What’s New, What Works, and What’s Still Missing

What is Study Mode?
Study Mode is OpenAI’s take on a smarter study partner – a version of the ChatGPT experience designed to guide users through problems with Socratic prompts, scaffolded reasoning, and adaptive feedback (instead of just handing over the answer).

Built with input from learning scientists, pedagogy experts, and educators, it was also shaped by direct feedback from college students. While Study Mode is designed with college students in mind, it’s meant for anyone who wants a more learning-focused, hands-on experience across a wide range of subjects and skill levels.

Who can access it? And how?
Starting July 29, Study Mode is available to users on Free, Plus, Pro, and Team plans. It will roll out to ChatGPT Edu users in the coming weeks.

ChatGPT became your tutor — from theneurondaily.com by Grant Harvey
PLUS: NotebookLM has video now & GPT 4o-level AI runs on laptop

Here’s how it works: instead of asking “What’s 2+2?” and getting “4,” study mode asks questions like “What do you think happens when you add these numbers?” and “Can you walk me through your thinking?” It’s like having a patient tutor who won’t let you off the hook that easily.

The key features include:

Socratic questioning: It guides you with hints and follow-up questions rather than direct answers.
Scaffolded responses: Information broken into digestible chunks that build on each other.
Personalized support: Adjusts difficulty based on your skill level and previous conversations.
Knowledge checks: Built-in quizzes and feedback to make sure concepts actually stick.
Toggle flexibility: Switch study mode on and off mid-conversation depending on your goals.

Try study mode yourself by selecting “Study and learn” from tools in ChatGPT and asking a question.

Introducing study mode — from openai.com
A new way to learn in ChatGPT that offers step by step guidance instead of quick answers.

[On 7/29/25, we introduced] study mode in ChatGPT—a learning experience that helps you work through problems step by step instead of just getting an answer. Starting today, it’s available to logged in users on Free, Plus, Pro, Team, with availability in ChatGPT Edu coming in the next few weeks.

ChatGPT is becoming one of the most widely used learning tools in the world. Students turn to it to work through challenging homework problems, prepare for exams, and explore new concepts. But its use in education has also raised an important question: how do we ensure it is used to support real learning, and doesn’t just offer solutions without helping students make sense of them?

We’ve built study mode to help answer this question. When students engage with study mode, they’re met with guiding questions that calibrate responses to their objective and skill level to help them build deeper understanding. Study mode is designed to be engaging and interactive, and to help students learn something—not just finish something.

OpenAI’s Education Head Says Real Learning Takes Struggle—Not Just ChatGPT Help — from observer.com by Rachel Curry; via Ray Schroeder on LinkedIn
Students must struggle to learn, and offloading to ChatGPT risks weakening critical thinking skills, OpenAI’s head of education warns.

“We know that true learning takes friction. It takes struggle,” said Mills. “You have to engage with the materials, and if students offload all of that work to a tool like ChatGPT, they will not learn those skills and they will not gain that critical thinking. That said, when ChatGPT is used correctly as a learning assistant and as a tutor, the results are powerful.”

Given that 40 percent of ChatGPT users are under the age of 24—and that learning is the platform’s number one use case, according to Mills—the need to fine-tune guardrails is becoming increasingly urgent. Pew Research reports that twice as many teens now use ChatGPT for schoolwork compared to 2023, with nearly one-third of teen respondents saying it’s acceptable to use the tool to solve math problems.

In response, Mills said OpenAI is actively researching what appropriate A.I. use in education looks like, with plans to share that guidance widely and rapidly with educators around the world.

[Gifted article from NY Times] I Teach Creative Writing. This Is What A.I. Is Doing to Students. [O’Rourke]

On 07/24/2025, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, career development, change, colleges, communications, community colleges, cost of getting a degree, creativity, digital learning, education, education technology, emerging technologies, expectations, experimentation, faculty/staff, future of higher education, game-changing environment, generational differences, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, IT in HE, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, liberal arts, Open AI, pace of change, parents/guardians, skills, student-related, teachers, teaching & learning, technologies for your home, tools, United States, universities, vendors, writing, by Daniel Christian

I Teach Creative Writing. This Is What A.I. Is Doing to Students. — from nytimes.com by Meghan O’Rourke; this is a gifted article.

We need a coherent approach grounded in understanding how the technology works, where it is going and what it will be used for.

From DSC:
I almost feel like Meghan should right the words “this week” or “this month” after the above sentence. Whew! Things are moving fast.

For example, we’re now starting to see more agents hitting the scene — software that can DO things. But that can open up a can of worms too.

Students know the ground has shifted — and that the world outside the university expects them to shift with it. A.I. will be part of their lives regardless of whether we approve. Few issues expose the campus cultural gap as starkly as this one.ce

From DSC:
Universities and colleges have little choice but to integrate AI into their programs and offerings. There’s enough pressure on institutions of traditional higher education to prove their worth/value. Students and their families want solid ROI’s. Students know that they are going to need AI-related skills (see the link immediately below for example), or they are going to be left out of the competitive job search process.

A relevant resource here:

New Lightcast Report: AI Skills Command 28% Salary Premium as Demand Shifts Beyond Tech Industry — from lightcast.io; via Paul Fain
First-of-its-kind analysis reveals specific AI skills employers need most, enabling targeted workforce training strategies across all career areas

PODCAST: Did AI “break” school? Or will it “fix” it? …and if so, what can we do about it? [Noles & Harvey]

On 07/19/2025, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, change, content development, aggregation, repositories, digital learning, education, education reform, education technology, emerging technologies, experimentation, higher education, human-computer interaction (HCI), 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, Open AI, pedagogy, platforms, podcasting, productivity / tips and tricks, skills, society, student-related, teachers, teaching & learning, technologies for your home, the downsides of how people use tech, tools, training / L&D, trends, United States, universities, by Daniel Christian

PODCAST: Did AI “break” school? Or will it “fix” it? …and if so, what can we do about it? — from theneurondaily.com by Grant Harvey, Corey Noles, Grant Harvey, & Matthew Robinson

In Episode 5 of The Neuron Podcast, Corey Noles and Grant Harvey tackle the education crisis head-on. We explore the viral UCLA “CheatGPT” controversy, MIT’s concerning brain study, and innovative solutions like Alpha School’s 2-hour learning model. Plus, we break down OpenAI’s new $10M teacher training initiative and share practical tips for using AI to enhance learning rather than shortcut it. Whether you’re a student, teacher, or parent, you’ll leave with actionable insights on the future of education.

NotebookLM is one of my favorite AI tools for reading scholarly articles. — from linkedin.com by Med Kharbach, PhD

On blogging (again) [Weller]

On 07/19/2025, in blogs / blogging / vlogging, collaboration, communications, communities of practice, content development, aggregation, repositories, digital learning, education technology, experimentation, ideas, internet, learning ecosystem, Learning Experience Design, lifelong learning, online media, productivity / tips and tricks, social learning / networks, writing, by Daniel Christian

On blogging (again) — from by Martin Weller

I also pondered what functions blogging has provided for me over the years.

Continuity – as an individual you persist across multiple organisations, roles and jobs. Although I stayed in one institution, I had many roles and the blog wasn’t associated with one specific project. Now I have left it continues.
Holistic – you can blog about one topic, but over time I think some personality will creep in. You are not just one thing, you have a personal life, tastes, interests etc which will all feed into what you do. A blog allows this more rounded representation.
Experimentation – there is relatively low cost and risk for much of it (this may not be the case for many people online, we need to acknowledge), so you can try things, and if they don’t work, so what? Also you can try formats that conventional outlets might not be appropriate for.
Development – the blog has been both an intentional and unintentional vehicle for working up ideas, documenting the process and getting feedback, which have led to more substantial outputs, such as books, project proposals and papers. Most importantly though it has been the means through which I have continually developed writing.
Connecting – particularly in those halcyon early days, it was a good way of finding others, working on ideas together, sharing something of yourself. A lot of my career related personal friendships have resulted from blogging.
Publicity – I became at one point (the OU crisis of 2018) something of a public voice of the OU, and have often used the blog for projects such as GO-GN

That’s not a bad return for a lil’ ol’ blog. I couldn’t say the same for academic journals.

AI is rewiring how we learn, and it’s a game-changer for L&D— from chieflearningofficer.com by Josh Bersin
As AI becomes central to learner engagement, L&D leaders are being urged to fundamentally rethink corporate training, says global industry analyst Josh Bersin.

What are people really doing with ChatGPT? They’re learning. They’re asking questions, getting immediate answers, digging deeper, analyzing information and ultimately making themselves more productive. So, one could argue that simply by shifting to a “learn by inquiry” model, we may triple our value to the business.

From my experience, there are two main learning models in this industry. The first is “what you need to know”—linear or prescriptive things that every employee needs to understand about the company, its products and their role. This kind of content is well handled by existing L&D models.

The second, and far more important, is “what you’d like to know”—questions, curiosities and explorations about how the company works, what customers truly need and how we can each go further in our careers. Thanks to AI, this kind of learning is now explosive and transformative.

Imagine a sales rep who loses a deal. Naturally, they may ask, “What could I have done to be more successful?” A well-designed AI-powered learning system would take that question, give the employee an initial answer and chat with the individual to dig into the problem.

The system would then surface relevant sales training material and recommend videos, tips or case studies for help. And the employee, assuming they like the experience, would likely keep exploring until they feel they’ve learned what they need.

This “curiosity-based” learning is now possible, and its benefits extend far beyond traditional training.

“Why do we treat the syllabus like a liability waiver instead of a roadmap?” [Poff]

On 07/12/2025, in adjunct faculty, colleges, community colleges, computer science, content development, aggregation, repositories, digital learning, digital video, education, education technology, engagement / engaging students, experimentation, faculty/staff, Google, higher education, history, homeschooling/homeschoolers, ideas, instructional design, K-12 related, languages and translation, learning, Learning Experience Design, learning hubs & pods & microschooling, learning preferences, learning spaces, mathematics, parents/guardians, pedagogy, platforms, productivity / tips and tricks, programming, science, STEAM-related, student-related, teachers, teaching & learning, technologies for your home, tools, United States, universities, writing, youth, by Daniel Christian

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