The Current State of Play: AI in Higher Education and the Road Ahead — from er.educause.edu by Tanya Gamby, David Kil, Rachel Koblic, Paul LeBlanc, Mihnea Moldoveanu and George Siemens

The conventional explanation for this strategic vacuum points to the speed of technological change; it is moving too fast for institutions built for deliberation. That is true. . . and incomplete. The deeper issue is cultural. In fairness to higher education, many industries are struggling to keep up with the pace of AI advances. Higher education, however, moves even more slowly and is not built for the kind of transformational speed now underway. Getting institutional stakeholders to engage, rethink the work, and move faster may be the central challenge facing presidents and chancellors today, and that’s saying a lot in such volatile times.

From DSC:
I highlighted this paragraph because it hits upon the key item involved here — culture. “The deeper issue is cultural.” I think that’s a very true statement.

Part of the culture and setup of many institutions includes giving faculty members full rein of their classes and their departments. Faculty members have a great deal of leeway and power in how they do things. So trying to get X faculty members to get on board — including the Department Chairs — is not an easy task. 

Another part of culture involves being willing — or not — to change in the first place. Some institutions are like Google and are used to making changes and being more innovative. But those institutions are not the norm, at least in my experience. And this doesn’t even address another topic the article mentioned — the pace of these changes. As the authors point out, most institutions of traditional higher education are not equipped to deal with the current pace of change (nor are most of our other types of institutions and our corporations as well). 

I’m going to end this posting with another brief excerpt from the article:

Institutions rooted in human relationships, committed to truth-seeking, and oriented toward the full development of persons play a central role. AI cannot manufacture the experience of mattering to another human being. It cannot model intellectual courage or ethical discernment. It cannot build the kind of community in which students discover who they are and what they believe.

These are not small things. They are, in fact, the things most worth doing. At their best, colleges and universities are not only preparing better workers but shaping individuals and strengthening society.

 

Check Your Mic Before You Wreck Your Project — from learningguild.com by Kendal Rasnake

While a lot of our narration may be produced by AI nowadays, there are times when you need to record audio, such as when you need someone in-house to do a voiceover, or you are recording an interview, job shadow video, demonstration video, etc. Now, the responsibility of recording high-quality audio falls on you.

Well, all you have to do is grab a mic and point, right? Wrong!

The last thing you need is to record the CEO and have him/her sound horrible or look ridiculous because they are holding a fuzzy mic on a long wire up to their mouth. Instead, just learn a little about mics and you can purchase and/or choose the right one.

All Mics Are Not Built Equally
I had someone who was having audio trouble tell me that they used a “Brand Name” mic before and it sounded good, so maybe they would go back to using a “Brand Name” mic. As you can imagine, choosing a mic for a certain purpose based on the brand name is equivalent to choosing a Chevy mini-hybrid car to tow an RV because your truck used to tow the RV well and it was a Chevy. Brands make different types of microphones and understanding how mics are built can help you to choose the right one, no matter the brand.

 

What a disco ball teaches us about learning and leadership — from timeshighereducation.com by Lauren Flannery
By acknowledging that perspectives are evolving and relational, educators and leaders can encourage contribution and connection without sacrificing what makes people distinct

It also shows us that difference does not always need to be resolved. In teaching, learning and leadership, the aim is not to create uniformity but to create conditions in which different people can contribute, connect and shine without losing what makes them distinct.

In classrooms, inclusion is sometimes approached as ensuring access to the same knowledge, resources and opportunities for all students. The beach ball helps here: it encourages us to explore multiple perspectives. But the disco ball pushes us further to explore how learning environments can support students to bring their experiences, identities and knowledge into the room – not to smooth them out but to draw from them.

Designing for multiple perspectives also means recognising that expressing an opinion is not only about confidence; it is also about conditions. People are more likely to speak when they feel their contribution will be heard without being dismissed, appropriated or flattened. Creating those conditions may involve discussing uncertainty, welcoming challenge, slowing down decision-making or making space for quieter forms of participation. The aim is not to make everyone agree, but to allow different reflections to interact in ways that generate richer understanding.

 

3 Retrieval Games to Try in Your High School Classroom — from edutopia by Andrew Atherton
These activities make reviewing content fun, so they can really motivate students to cement their learning.

These games can start or end the lesson, and they sometimes function as a transition within the lesson between topics. I don’t need to use them any longer, but I choose to use the following three games simply because they work really well. They can be used in any class and require very little (if any) preparation. These examples are drawn from the English classroom, but they could be adapted to suit most subjects.


Focusing Attention With a Student-Led Recall Activity — from edutopia.org
By providing every student with an opportunity to actively remember yesterday’s lesson, teachers can set the stage for today’s success.

By asking students to recall information on their own and then compare ideas with classmates, Bechard creates opportunities for each of them to engage with the content.

The process has the added benefit of strengthening retention: “When we remember something we had initially forgotten,” Lee says, “it is coming back into our working memory. It is having another opportunity to go into long-term memory. And so every time that happens, we are actually creating a stronger memory trace for that information.”

By building in a brief, intentional routine at the start of class, Bechard helps students reactivate prior learning, reconnect with the text, and begin each lesson with their attention focused, ready to learn.


How Free Play Supports Attention in Elementary School — from edutopia.org by Cynthia Michelini
Taking a short break outside allows students to reconnect with the world and refocus when it’s time to go back to the classroom.

The breaks were only five to 10 minutes long, and my intention was to ensure that the time outside was never structured, apart from a few guiding principles. Rule one: No teacher instruction. I didn’t want to give my students any direction other than how to be safe outside. Rule two: I encouraged them not to organize anything. Rule three: Just simply take a break. The results of this seemingly simple target surprised me.

First of all, my students’ attention span increased significantly. While this wasn’t a formal research project, trust me when I say that after 23 years of experience, I was shocked to realize how taking kids outside for a short period of time frequently can help support their focus in the classroom.


The IKEA Effect: You Built It, You’re Invested in It — from edutopia.org by Cathleen Beachboard, Nick Brousse
People become more invested when they help shape the systems around them, and teachers and school leaders can use that to create a strong school culture.

The difference is rarely the quality of the system itself. It’s whether the people affected by it helped build it. Psychologists call this the IKEA effect: our tendency to place greater value on things we help create. In one fascinating series of studies, researchers found that even young children valued objects they built more highly than identical objects made by someone else.

This sense of value is not explained simply by ownership. Children still value their creations more, even when they cannot keep them. It’s not explained by effort alone, either—more work doesn’t automatically create more attachment.

Instead, the researchers proposed something deeper: People become emotionally connected to what they help create because it begins to feel tied to their sense of identity. That finding may explain far more about school culture than we realize.

 

The Evolving L&D Roles in 2026 Exploring who you might become next — from liftedlnd.substack.com by Lifted L&D

1. The Learning Experience Architect
This is really the evolution of the instructional designer. The difference is that the focus is no longer on building individual courses. Instead, the focus shifts towards designing capability ecosystems.

In modern learning platforms, learning is dynamic and increasingly personalised. AI engines infer skill levels, recommend resources, generate practice scenarios and adapt content based on how people engage. The role of the Learning Experience Architect is to orchestrate that environment so it genuinely supports capability development.

Across all of these emerging roles, three themes keep appearing.

The first is data fluency. …
The second is systems thinking. …
The third is human judgement.


Also relevant/see:


 

Two years ago, AI broke assessment. Now, it’s helping us to reinvent it. — from linkedin.com by Dr. Philippa Hardman


Also from Dr. Hardman, see:


A new study shows AI helped deliver 1.5 years of maths progress in 8 weeks — here’s how. — from linkedin.com by Dr. Philippa Hardman

…a new study shows AI helped deliver 1.5 years of maths progress in 8 weeks — here’s how.

Google DeepMind just shared the results of a randomised trial involving 1,763 students. Half used Gemini’s “Guided Learning” to learn maths; half didn’t.

The result: the group working with AI gained the equivalent of 1.2 to 1.7 years of extra progress compared to those who didn’t.

It’s tempting to read this as “Gemini’s Guided Learning mode works!” But the key point here is that Gemini didn’t work alone….

Look closer, and what made the difference wasn’t just the tech — it was a great teacher making expert use of it.

 

Why Students Aren’t All In on AI—And What They Want From Colleges — from insidehighered.com by  Colleen Flaherty
New Student Voice data reveal students are embracing AI as a learning tool while worrying about dependence, career disruption and inconsistent institutional responses.

Read on for six takeaways from the survey and additional insights—including how institutions can start to close the gap between students’ optimism about AI as a learning tool and their faith in their colleges’ ability to help them navigate change.

Takeaway 1: More students are using AI than ever for coursework, while a significant share—20 percent—remain resisters.

Takeaway 2: “Worried about dependence” is the most common student stance on AI.

Takeaway 3: A majority of all students expect AI to somewhat (39 percent) or very (16 percent) negatively impact their career prospects.

Takeaway 4: Just one in 10 students says that their institution is handling AI’s rise very well, in a thoughtful and proactive way.

…and more >>

 

 
 


Rethinking Learning Design in Elementary Schools — from edcircuit.com
Why K–5 leaders must redesign—not just adopt—technology to restore attention, deepen thinking, and align AI with how children actually learn

Rethinking learning design in elementary schools is critical as screen time and AI reshape attention, thinking, and student engagement.

Designing for Thinking, Not Just Doing
At its core, learning design must shift from task completion to thinking development.

This requires creating environments where students:

  • Spend time processing ideas
  • Work through confusion without immediate answers
  • Build persistence through challenge

It also requires clarity around the role of technology.

Technology should:

  • Extend thinking
  • Provide meaningful feedback
  • Support exploration

It should not:

  • Replace effort
  • Short-circuit reasoning
  • Eliminate productive struggle

The goal is not to reduce technology use.

It is to ensure that students remain the ones doing the thinking.


Should We Integrate AI into Our Teaching?: Evidence-Based Guidelines for Deciding When AI Belongs — from Faculty Focus by Norman Eng, EdD

Four Questions for Deciding Whether to Use AI

Question 1: Will this AI tool help students use, recall, and demonstrate understanding of core disciplinary content?
Question 2: Will this AI tool require students to apply their learning to a new context?
Question 3: Will this AI tool support—not replace—independent, evidence-based reasoning?
Question 4: Will this AI integration preserve meaningful human interaction?


 

OPINION: If higher education wants to rebuild public trust, start with making college affordable — from hechingerreport.org by John B. King, Jr.
Addressing high tuition, food insecurity and child care needs are important first steps

Higher education is under siege, with many students and parents balking at high costs. In a series of op-eds, university leaders lay out their efforts to keep college affordable. This is the first in the series.

For many people across the country, paying for college is the largest investment they will ever make. Increasingly, it’s one that feels out of reach.

Over the past two decades, tuition and fees at private, national universities have jumped by 112 percent; at some “elite” and highly selective schools the annual cost of attendance now approaches $100,000.

If higher education is to rebuild public trust, affordability can’t be an afterthought. It must be at the center of our strategic focus.


Also from The Hechinger Report, see:



Addendum on 6/10/25:

The Real Mission of Higher Education Is Hiding in Plain Sight — from insidehighered.com by  John Warner
A guest post laying out a path forward for all institutions.

Most colleges and universities are not actually organized around learning. They’re organized around teaching, research productivity, rankings, revenue, and the preservation of institutional prestige. Students sense this, even when they can’t articulate it. The public senses it, too. Academic researchers themselves have been making this argument for decades, but it has rarely felt more urgent than it does right now.

The Yale report says, wisely, that “trust is earned by doing what you say you’re going to do.” Universities say they’re about learning. The way to rebuild trust is to actually mean it and to build institutions that prove it.

The Yale committee is right that trust must be rebuilt through action over messaging. The most fundamental action, and the one most often overlooked, is this: Get learning right.

 

Christian: Could this be a part of our future learning ecosystems?


From DSC:
Could this be a part of our future learning ecosystems? Education as a personalized content feed.


Coursera wants users to learn through shorter, faster content  — from digitaltrends.com by Moinak Pal
Coursera wants online learning to feel more like TikTok
.

Online learning platform Coursera is taking a page straight out of TikTok’s playbook. The company has launched a new AI-powered feed designed to serve short-form educational content in a scrollable, personalized format, signaling a major shift in how digital learning platforms may try to keep users engaged.

The feature introduces bite-sized video lessons, clips, and explainers curated through artificial intelligence based on a user’s interests, learning habits, career goals, and previous course activity. Instead of committing to hour-long lectures or full certification programs upfront, users can now discover short educational snippets designed to make learning feel more casual, accessible, and addictive.

Users scroll through a feed of short educational videos and AI-curated learning moments covering topics ranging from coding and business to AI, productivity, data science, and personal development.

 

Pinpoint, Explained — from wondertools.substack.com by Jeremy Caplan
A guide to Google’s free tool, now open to all


.Jeremy prompted ChatGPT to generate illustrations in his post.

.


Learn about Pinpoint— from support.google.com

Pinpoint is an AI-powered research platform designed to help journalists and academics analyze large collections of documents. With Pinpoint, you can:

  • Analyze massive collections: Easily search, filter, transcribe and organize thousands of documents, including PDFs, images, and audio files.
  • Leverage generative AI: Use Gemini’s capabilities to answer research questions together with supporting evidence found in your documents.
  • Foster collaborative research: share your work with colleagues and tackle large scale projects as a team. You can also publicly share – supporting community-driven research.

For assistance with Pinpoint, please consult our Community Forum or you can contact our support team.

 

4 Strategies For Teaching With AI Effectively — from techlearning.com by Erik Ofgang
Health sciences professor Humberto López Castillo urges students to use AI to help with science research, but never to lose sight of the human element.

Castillo, a trained pediatrician and professor in the Department of Health Sciences, has also seen students use AI in creative ways to promote public health understanding, and as a research tool. For one project, Castillo asks students to explain health concepts from class to non-experts, and since he started encouraging students to use AI, he’s seen the projects get better. Students have created health-themed board games and Hamilton-style rap songs. Others have designed AI to aid in health research in ways that wouldn’t be possible without the technology.

This compassionate and student-centered approach to AI use is part of why Castillo was named Superhuman (formerly Grammarly’s) 2026 Educator of the Year.
.

.

“You are the one who’s responsible for that writing,” Castillo tells his students. “Your name is the only name that’s going to be among the published authors, so you are the one who needs to verify those sources.”

He adds that rather than being a drawback, allowing students to make these types of mistakes with AI use in the college setting has value.

“It is a teaching opportunity,” Castillo says. “This is the moment to make those mistakes.”

 

6 Tips for Easily Incorporating Games in Your Learning — from learningguild.com

To help you incorporate game elements into your learning, we’ve asked our Game-Based Learning Online Conference speakers to share their best tips:

  1. The game design process can support the instructional designer during design and development. …
  2. One of the biggest mistakes in game-based learning is starting with the game instead of the performance objective. …
  3. By redefining the success of gamification as the transition from information to skill, we’ll see a transformation from the well-known initial engagement driver to a tool that helps guarantee long-term encoding. …
    .
    …and more
 

What AI-Enabled Education Actually Looks Like When It’s Working for Workforce Students — from gettingsmart.com by Stephen Griffin

Key Points

  • Institutions can use AI to make skills, pathways, and job outcomes visible to students and employers in ways traditional transcripts cannot.
  • Academic affairs, workforce development, career services, and employers need a shared definition of readiness and competency before tools can deliver meaningful value.

The second is portable competency records. Learning and employment records — AI-enabled documentation of what a student knows and can do, expressed in language employers recognize — are the infrastructure that makes credentials legible across the education-to-employment continuum. When a student can show an employer not just “completed Supply Chain Management 101” but “demonstrated proficiency in inventory optimization, route planning, and logistics software at the industry-recognized level,” the credential stops being abstract. It becomes evidence. Building these records requires investment in tools, yes — but more importantly, it requires faculty, workforce development staff, and employer partners to agree on what competency actually looks like before the technology is ever purchased.


 

 
© 2025 | Daniel Christian