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.


 

Partnerships to make higher education work for the workforce — from timeshighereducation.com by Brooke Wilson
Fostering long-term industry partners can enhance student outcomes and prepare them for the workplace of the future. Here’s how to get the best out of them

As the pace of change accelerates across all industries, higher education institutions face increasing pressure to ensure their graduates are prepared for the workplace demands of today – and tomorrow. Cultivating meaningful partnerships with industry is no longer optional; it’s necessary.

From curriculum co-design to experiential learning, universities can collaborate with businesses and industries in several ways to enhance student outcomes and strengthen regional economies.


The keys to strong university–non-profit partnerships — from timeshighereducation.com by Mariana Leyva, Martha Sáenz, and Itzel Eguiluz
Collaborative projects between universities and non-profits nurture empathy and allow students to make a real-world impact. Here, three educators share their tips for building meaningful partnerships that benefit students and communities alike

Collaborative projects between universities and non-profits nurture empathy and allow students to make a real-world impact. Here, three educators share their tips for building meaningful partnerships that benefit students and communities alike.

 

AI and Higher Ed: An Impending Collapse — from insidehighered.com by Robert Niebuhr; via George Siemens; I also think George’s excerpt (see below) gets right to the point.
Universities’ rush to embrace AI will lead to an untenable outcome, Robert Niebuhr writes.

Herein lies the trap. If students learn how to use AI to complete assignments and faculty use AI to design courses, assignments, and grade student work, then what is the value of higher education? How long until people dismiss the degree as an absurdly overpriced piece of paper? How long until that trickles down and influences our economic and cultural output? Simply put, can we afford a scenario where students pretend to learn and we pretend to teach them?


This next report doesn’t look too good for traditional institutions of higher education either:


No Country for Young Grads — from burningglassinstitute.org

For the first time in modern history, a bachelor’s degree is no longer a reliable path to professional employment. Recent graduates face rising unemployment and widespread underemployment as structural—not cyclical—forces reshape entry?level work. This new report identifies four interlocking drivers: an AI?powered “Expertise Upheaval” eliminating many junior tasks, a post?pandemic shift to lean staffing and risk?averse hiring, AI acting as an accelerant to these changes, and a growing graduate glut. As a result, young degree holders are uniquely seeing their prospects deteriorate – even as the rest of the economy remain robust. Read the full report to explore the data behind these trends.

The above article was via Brandon Busteed on LinkedIn:

 

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.


 

Osgoode’s new simulation-based learning tool aims to merge ethical and practical legal skills — from canadianlawyermag.com by Tim Wilbur
The designer speaks about his vision for redefining legal education through an innovative platform

The disconnection between legal education and the real world starkly contrasted with what he expected law school to be. “I thought rather naively…this would be a really interesting experience…linked to lawyers and what lawyers are doing in society…Far from it. It was solidly academic, so uninteresting, and I thought it’s got to be better than this.”

These frustrations inspired his work on simulation-based education, which seeks to produce “client-ready” lawyers and professionals who reflect deeply on their future roles. Maharg recently worked as a consultant with Osgoode Professional Development at Osgoode Hall Law School to design a platform that eschews many of the assumptions about legal education to deliver practical skills with real-world scenarios.

Osgoode’s SIMPLE platform – short for “simulated professional learning environment” – integrates case management systems and simulation engines to immerse students in practical scenarios.

“It’s actually to get them thinking hard about what they do when they act as lawyers and what they will do when they become lawyers…putting it into values and an ethical framework, as well as making it highly intensively practical,” Maharg says.


And speaking of legal training, also see:

AI in law firms should be a training tool, not a threat, for young lawyers — from canadianlawyermag.com by Tim Wilbur
Tech should free associates for deeper learning, not remove them from the process

AI is rapidly transforming legal practice. Today, tools handle document review and legal research at a pace unimaginable just a few years ago. As recent Canadian Lawyer reporting shows, legal AI adoption is outpacing expectations, especially among in-house teams, and is fundamentally reshaping how legal services are delivered.

Crucially, though, AI should not replace associates. Instead, it should relieve them of repetitive tasks and allow them to focus on developing judgment, client management, and strategic thinking. As I’ve previously discussed regarding the risks of banning AI in court, the future of law depends on blending technological fluency with the human skills clients value most.


Also, the following relates to legaltech as well:

Agentic AI in Legaltech: Proceed with Supervision! — from directory.lawnext.com by Ken Crutchfield
Semi-Autonomous agents can transform work if leaders maintain oversight

The term autonomous agents should raise some concern. I believe semi-autonomous agents is a better term. Do we really want fully autonomous agents that learn and interact independently, to find ways to accomplish tasks?

We live in a world full of cybersecurity risks. Bad actors will think of ways to use agents. Even well-intentioned systems could mishandle a task without proper guardrails.

Legal professionals will want to thoughtfully equip their agent technology with controlled access to the right services. Agents must be supervised, and training must be required for those using or benefiting from agents. Legal professionals will also want to expand the scope of AI Governance to include the oversight of agents.

Agentic AI will require supervision. Human review of Generative AI output is essential. Stating the obvious may be necessary, especially with agents. Controls, human review, and human monitoring must be part of the design and the requirements for any project. Leadership should not leave this to the IT department alone.

 

What borrowers should know about student loan changes in the One Big Beautiful Bill — from npr.org by Cory Turner

If you’re a federal student loan borrower or about to become one, your head may be spinning.

On July 4, when President Trump signed the One Big Beautiful Bill Act into law, he also greenlit a history-making overhaul of the federal student loan system — one that will affect the lives of many, if not most, of the United States’ nearly 43 million student loan borrowers.

And boy is it a lot to unpack, with new, tighter borrowing limits and dramatically reduced repayment options, to name just a few of the sweeping changes.

Under the One Big Beautiful Bill Act, borrowers in SAVE will have to change plans by July 1, 2028, when SAVE will be officially shut down. If they wait, though they currently can’t be required to make payments, they will see their loans explode with interest.

 

15 Quick (and Mighty) Retrieval Practices — from edutopia.org by Daniel Leonard
From concept maps to flash cards to Pictionary, these activities help students reflect on—and remember—what they’ve learned.

But to genuinely commit information to long-term memory, there’s no replacement for active retrieval—the effortful practice of recalling information from memory, unaided by external sources like notes or the textbook. “Studying this way is mentally difficult,” Willingham acknowledged, “but it’s really, really good for memory.”

From low-stakes quizzes to review games to flash cards, there are a variety of effective retrieval practices that teachers can implement in class or recommend that students try at home. Drawing from a wide range of research, we compiled this list of 15 actionable retrieval practices.


And speaking of cognitive science, also see:

‘Cognitive Science,’ All the Rage in British Schools, Fails to Register in U.S. — from the74million.org by Greg Toppo
Educators blame this ‘reverse Beatles effect’ on America’s decentralized system and grad schools that are often hostile to research.

When Zach Groshell zoomed in as a guest on a longstanding British education podcast last March, a co-host began the interview by telling listeners he was “very well-known over in the U.S.”

Groshell, a former Seattle-area fourth-grade teacher, had to laugh: “Nobody knows me here in the U.S.,” he said in an interview.

But in Britain, lots of teachers know his name. An in-demand speaker at education conferences, he flies to London “as frequently as I can” to discuss Just Tell Them, his 2024 book on explicit instruction. Over the past year, Groshell has appeared virtually about once a month and has made two personal appearances at events across England.

The reason? A discipline known as cognitive science. Born in the U.S., it relies on decades of research on how kids learn to guide teachers in the classroom, and is at the root of several effective reforms, including the Science of Reading.

 

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:

 

From DSC:
In looking at
 
MyNextChapter.ai — THIS TYPE OF FUNCTIONALITY of an AI-based chatbot talking to you re: good fits for a future job — is the kind of thing that could work well in this type of vision/learning platform. The AI asks you relevant career-oriented questions, comes up with some potential job fits, and then gives you resources about how to gain those skills, who to talk with, organizations to join, next steps to get your foot in the door somewhere, etc.

The next gen learning platform would provide links to online-based courses, blogs, peoples’ names on LinkedIn, courses from L&D organizations or from institutions of higher education or from other entities/places to obtain those skills (similar to the ” Action Plan” below from MyNextChapter.ai).

 

Teach business students to write like executives — from timeshighereducation.com by José Ignacio Sordo Galarza
Many business students struggle to communicate with impact. Teach them to pitch ideas on a single page to build clarity, confidence and work-ready communication skills

Many undergraduate business students transition into the workforce equipped with communication habits that, while effective in academic settings, prove ineffective in professional environments. At university, students are trained to write for professors, not executives. This becomes problematic in the workplace where lengthy reports and academic jargon often obscure rather than clarify intent. Employers seek ideas they can absorb in seconds. This is where the one-pager – a single-page, high-impact document that helps students develop clarity of thought, concise expression and strategic communication – proves effective.


Also from Times Higher Education, see:


Is the dissertation dead? If so, what are the alternatives? — from timeshighereducation.com by Rushana Khusainova, Sarah Sholl, & Patrick Harte
Dissertation alternatives, such as capstone projects and applied group-based projects, could better prepare graduates for their future careers. Discover what these might look like

The traditional dissertation, a longstanding pillar of higher education, is facing increasing scrutiny. Concerns about its relevance to contemporary career paths, limitations in fostering practical skills and the changing nature of knowledge production in the GenAI age have fuelled discussions about its continued efficacy. So, is the dissertation dead?

The dissertation is facing a number of challenges. It can be perceived as having little relevance to career aspirations in increasingly competitive job markets. According to The Future of Jobs Report 2025 by the World Economic Forum, employers demand and indeed prioritise skills such as collaborative problem-solving in diverse and complex contexts, which a dissertation might not demonstrate.

 

 

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.

 
 
 


Tech check: Innovation in motion: How AI is rewiring L&D workflows — from chieflearningofficer.com by Gabrielle Pike
AI isn’t here to replace us. It’s here to level us up.

For today’s chief learning officer, the days of just rolling out compliance training are long gone. In 2025, learning and development leaders are architects of innovation, crafting ecosystems that are agile, automated and AI-infused. This quarter’s Tech Check invites us to pause, assess and get strategic about where tech is taking us. Because the goal isn’t more tools—it’s smarter, more human learning systems that scale with the business.

Sections include:

  • The state of AI in L&D: Hype vs. reality
  • AI in design: From static content to dynamic experiences
  • AI in development: Redefining production workflows
  • Strategic questions CLOs should be asking
  • Future forward: What’s next?
  • Closing thought

American Federation of Teachers (AFT) to Launch National Academy for AI Instruction with Microsoft, OpenAI, Anthropic and United Federation of Teachers — from aft.org

NEW YORK – The AFT, alongside the United Federation of Teachers and lead partner Microsoft Corp., founding partner OpenAI, and Anthropic, announced the launch of the National Academy for AI Instruction today. The groundbreaking $23 million education initiative will provide access to free AI training and curriculum for all 1.8 million members of the AFT, starting with K-12 educators. It will be based at a state-of-the-art bricks-and-mortar Manhattan facility designed to transform how artificial intelligence is taught and integrated into classrooms across the United States.

The academy will help address the gap in structured, accessible AI training and provide a national model for AI-integrated curriculum and teaching that puts educators in the driver’s seat.


Students Are Anxious about the Future with A.I. Their Parents Are, Too. — from educationnext.org by Michael B. Horn
The fast-growing technology is pushing families to rethink the value of college

In an era when the college-going rate of high school graduates has dropped from an all-time high of 70 percent in 2016 to roughly 62 percent now, AI seems to be heightening the anxieties about the value of college.

According to the survey, two-thirds of parents say AI is impacting their view of the value of college. Thirty-seven percent of parents indicate they are now scrutinizing college’s “career-placement outcomes”; 36 percent say they are looking at a college’s “AI-skills curriculum,” while 35 percent respond that a “human-skills emphasis” is important to them.

This echoes what I increasingly hear from college leadership: Parents and students demand to see a difference between what they are getting from a college and what they could be “learning from AI.”


This next item on LinkedIn is compliments of Ray Schroeder:



How to Prepare Students for a Fast-Moving (AI)World — from rdene915.com by Dr. Rachelle Dené Poth

Preparing for a Future-Ready Classroom
Here are the core components I focus on to prepare students:

1. Unleash Creativity and Problem-Solving.
2. Weave in AI and Computational Thinking.
3. Cultivate Resilience and Adaptability.


AI Is Reshaping Learning Roles—Here’s How to Future-Proof Your Team — from onlinelearningconsortium.org by Jennifer Mathes, Ph.D., CEO, Online Learning Consortium; via Robert Gibson on LinkedIn

Culture matters here. Organizations that foster psychological safety—where experimentation is welcomed and mistakes are treated as learning—are making the most progress. When leaders model curiosity, share what they’re trying, and invite open dialogue, teams follow suit. Small tests become shared wins. Shared wins build momentum.

Career development must be part of this equation. As roles evolve, people will need pathways forward. Some will shift into new specialties. Others may leave familiar roles for entirely new ones. Making space for that evolution—through upskilling, mobility, and mentorship—shows your people that you’re not just investing in AI, you’re investing in them.

And above all, people need transparency. Teams don’t expect perfection. But they do need clarity. They need to understand what’s changing, why it matters, and how they’ll be supported through it. That kind of trust-building communication is the foundation for any successful change.

These shifts may play out differently across sectors—but the core leadership questions will likely be similar.

AI marks a turning point—not just for technology, but for how we prepare our people to lead through disruption and shape the future of learning.


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© 2025 | Daniel Christian