Course design for a new age — from timeshighereducation.com by Campus contributors , Laura Duckett Learn how to design courses that respond to the evolving needs of both students and employers
At a time when the value of a degree is being called into question, many argue that teaching subject knowledge is no longer enough. University courses must be flexible and embed work training and skills development to serve today’s students. This collection of resources is a guide to designing courses that respond to the evolving needs of both students and employers.
Teaching is a verb: what sets good teachers apart — from timeshighereducation.com by William J. Owen Reflection is what moves teaching beyond performance and towards continuous improvement, writes William Owen
What sets good teachers apart is their willingness to continually reflect, learn and grow alongside their students. Great teaching is not a destination, it is an ongoing practice of curiosity, humility and intentionality. And perhaps that is what makes it so challenging and so rewarding.
How to set your students up to write compelling op-eds — from timeshighereducation.com by Arafat Reza and Shahariar Sadat Help students develop their writing and refine their arguments by publishing opinion pieces. Find advice for supporting student writers here
Academics are ideally placed to bridge this gap. Beyond teaching disciplinary knowledge, they can help students develop the confidence and practical skills needed to engage in public discourse. Here, we discuss practical ways in which academics can encourage students to write op-eds that inform people, influence law and policymaking, and inspire positive change in society. Plus, find five tips for teaching students to write compelling arguments.
Rethinking course design to enliven student engagement — from timeshighereducation.com by To foster students’ meaningful learning, educators should be using class time to maximise the benefits of the in-person experience, as Nasreen Sultana explains
We landed on four practical strategies to make learning more interactive, relevant and student-centred. Although developed in a management classroom, these tips can be adapted across disciplines.
This classroom scenario is an example of how finishing a piece of writing is a dual celebration—an ending and a beginning. A published piece of writing means crossing a finish line as the culminating event within the writing process, but it is also a starting line, where a story begins a journey of its own—being read, seen, heard, and shared by others.
Who better to assist with modeling these transitional and celebratory moments than 14 professional authors of picture books?
Where to start Featured below are links to exceptional authors and author/illustrators reading their picture books. Watching these videos, a child can see and hear the diverse faces and voices of authors who have prioritized stories about kids like them.
Narrow, prescribed tasks are known as convergent tasks. Define the parts of a cell has a specific answer. Sometimes, convergent tasks make the most sense. But whenever possible, I prefer to use broader divergent tasks, which allow for multiple ways to approach the learning. Describe the different ways that cell parts can work together to form a system is an example of a divergent task.
Divergent tasks inherently drive more student questions, since the answers aren’t just one-and-done. Divergence promotes “deep thinking, requiring students to analyze and evaluate concepts,” according to a study on the subject. Students are not just trying to find the “best” answer—they’re working toward a more complex concept.
I realized I was spending so much of my time going over my classroom rules that I forgot that the students were there to learn how to learn.
Once I took the pressure off myself, everything changed. Instead of focusing on perfection, I started to focus on curiosity and fun. Instead of cramming information and reaping frustration, I slowed down.
Here’s what my first five days look like, and how they build a foundation for scientific thinking.
15 Effective Ways to Manage Dysregulated Students — from edutopia.org by Andrew Boryga Teachers are seeing more big emotions and disruptive behavior in early elementary classrooms. These practical strategies can help youngsters reflect, reset, and repair.
While many experts cite the pandemic’s role in creating skill deficiencies, it’s only a part of the story. Educators also point to major changes in the culture around child rearing, pointing to issues like rising screen time, less play, and fewer opportunities for face-to-face interaction—“developmental needs that no digital program, however sophisticated, can fully replicate,” writes elementary school teacher Cara Zelas.
Serious behavioral issues and developmental concerns require broad support from administrators, specialists, and families. But for everyday moments that derail lessons—a child melting down, refusing directions, or struggling to rejoin the group—many teachers find that simple practices, consistently applied, can help turn big feelings into moments of growth instead of lost instructional time.
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. .
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“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.”
5 Tech Strategies to Enhance Student-Led Learning — from edutopia.org by Rachelle Dené Poth While technology has potential to distract students, it can also boost engagement and help them actively demonstrate their learning.
Over the years, I have learned that engagement doesn’t happen simply by adding technology. It increases when we give students more ownership by designing experiences that allow them to build, collaborate, reflect, and teach one another. Depending on how we use it, technology can either amplify engagement or distract from it. Technology can help build students’ confidence in learning, but it can also lead to passivity. When technology is used to amplify students’ voice, choice, and ownership in learning, their engagement will naturally increase.
Here are five strategies and some digital tools that can be used across grade levels and content areas to boost student engagement, build confidence, foster collaboration, and support meaningful learning experiences.
Project-Based Learning (PBL) Implementing a PBL Design Challenge in Your School — from edutopia.org by Lisa Beck & Kim Mishkin A weeklong, schoolwide project-based learning challenge encourages students to try to tackle meaningful problems.
For the past five years, Hudson Lab School (HLS), a K–8 progressive school committed to project?based learning (PBL), has kicked off each school year with an exciting tradition: Design Challenge Week. In five days, students take on a real?world problem, explore each phase of the design process, and present what they created and learned to an authentic audience. Design Challenge Week introduces concepts that students will revisit all year and offers a model for how any educational setting could experiment with PBL on a smaller scale. Even short, well?designed challenges can lead to deeply engaged learning experiences.
No more than a minute after you’ve provided instruction on the day’s targeted content and given students directions for their next task, some brave soul utters the line that brings tired teachers to their knees: “What are we supposed to be doing?”
None of us want this. As teachers, we all want students to fully understand what they’re supposed to be doing so that they can be successful as they do it.
Good news: A few small changes in how we give directions can be the lever that boosts student understanding and engagement.
An Unconventional Seating Plan Designed to Benefit Focus and Learning — from edutopia.org by Tyler Rablin After years of search and experimentation, this teacher finally hit on a room layout that allowed for efficient shifting between whole class, small group, and independent work.
I used to be an obsessive classroom rearranger—every six weeks or so I would find myself looking for a new desk arrangement that would improve some aspect of our work in the room. So when I finally found a desk arrangement that I didn’t want to change for the rest of the year, I knew I was on to something good.
The idea started developing when I stumbled across an article about an Australian classroom arrangement based on three “archetypal learning spaces”: campfires, caves, and watering holes. Essentially, the idea is that students need a physical space to work independently (a cave), spaces to gather informally (campfires), and a space to gather as a whole to learn from an expert (the watering hole).
Trauma-informed practices invite a shift from reactive to proactive systems. To design classrooms that are grounded in safety and care, teachers need to embed predictability, co-regulation, and relationship-building into daily routines. Seemingly small changes like morning choice, intentional language, and shared commitmentscan transform the environmental conditions for students to properly regulate, feel connected, and fully access learning.
Replacing Morning Work With Morning Choice
The largest positive shift in my classroom culture occurred when I replaced traditional morning work with morning choice bins. When I began our day with worksheets, it felt like I started each day with an uphill battle. The mornings began with redirecting behavior instead of building meaningful relationships.
Reducing the Cognitive Load of Math Tasks With Strategy Cards— from edutopia.org by Katherine Efremkin When students create a visual resource to scaffold problem-solving, they can approach independent work with more confidence and focused attention.
All three of these areas of the brain need to be activated and work together in order for a student to be successful with independent math work. To help ensure that students are able to successfully shift between their problem-solving ability, thinking, and actions to attack different parts of a problem, I teach students to create strategy cards.
These cards help reduce the cognitive load, enabling students not only to become more successful and independent within their arithmetic work, but also to dive deeper into the conceptual understanding of math concepts.
The Essential Retrieval Practice Handbook — from edutopia.org Retrieval practice is one of the most effective ways to strengthen learning. Here’s a collection of our best resources to use in your classroom today.
January 29, 2026
When we think about learning, we typically focus on getting information into students’ heads. What if, instead, we focus on getting information out of students’ heads?
Penelope Adams Moon suggested that instead [of] framing a workshop around “How can we integrate AI into the work of teaching?” we should ask “Given what we know about learning, how might AI be useful?” I love that reframing, and I think it connects to the students’ requests for more AI knowhow. Students have a lot of options for learning: working with their instructor, collaborating with peers, surfing YouTube for explainer videos, university-provided social annotation platforms, and, yes, using AI as a kind of tutor. I think our job (collectively) isn’t just to teach students how to use AI (as they’re requesting) but also to help them figure out when and how AI is helpful for their learning. That’s highly dependent on the student and the learning task! I wrote about this kind of metacognition on my blog.
In the same way, when I approach any kind of educational technology, I’m looking for tools that can be responsive to my pedagogical aims. The pedagogy should drive the technology use, not the other way around.
The real story isn’t what AI can produce — it’s how it changes the decisions we make at every stage of instructional design.
After working with thousands of instructional designers on my bootcamp, I’ve learned something counterintuitive: the best teams aren’t the ones with the fanciest AI tools — they’re the ones who know when to use which mode—and when to use none at all.
Once you recognise that, you start to see instructional design differently — not as a linear process, but as a series of decision loops where AI plays distinct roles.
In this post, I show you the 3 modes of AI that actually matter in instructional design — and map them across every phase of ADDIE so you know exactly when to let AI run, and when to slow down and think.
In higher education, developing strong multiple-choice questions can be a time-intensive part of the course design process. Developing such items requires subject-matter expertise and assessment literacy, and for faculty and designers who are creating and producing online courses, it can be difficult to find the capacity to craft quality multiple-choice questions.
At the University of Michigan Center for Academic Innovation, learning experience designers are using generative artificial intelligence to streamline the multiple-choice question development process and help ameliorate this issue. In this article, I summarize one of our projects that explored effective prompting strategies to develop multiple-choice questions with ChatGPT for our open course portfolio. We examined how structured prompting can improve the quality of AI-generated assessments, producing relevant comprehension and recall items and options that include plausible distractors.
Achieving this goal enables us to develop several ungraded practice opportunities, preparing learners for their graded assessments while also freeing up more time for course instructors and designers.
While it’s true that Nano Banana generates better infographics than other AI models, the conversation has so far massively under-sold what’s actually different and valuable about this tool for those of us who design learning experiences.
What this means for our workflow:
Instead of the traditional “commission ? wait ? tweak ? approve ? repeat” cycle, Nano Banana enables an iterative, rapid-cycle design process where you can:
Sketch an idea and see it refined in minutes.
Test multiple visual metaphors for the same concept without re-briefing a designer.
Build 10-image storyboards with perfect consistency by specifying the constraints once, not manually editing each frame.
Implement evidence-based strategies (contrasting cases, worked examples, observational learning) that are usually too labour-intensive to produce at scale.
This shift—from “image generation as decoration” to “image generation as instructional scaffolding”—is what makes Nano Banana uniquely useful for the 10 evidence-based strategies below.
You’ll hear me briefly describe five recent op-eds on teaching and learning in higher ed. For each op-ed, I’ll ask each of our panelists if they “take it,” that is, generally agree with the main thesis of the essay, or “leave it.” This is an artificial binary that I’ve found to generate rich discussion of the issues at hand.
A Moment That Changed My View of Teaching I’ll never forget a student I’ll call Jalen. He was bright and quick with answers, sharp in debate, but he had built a wall around himself after a difficult year at home. He’d stopped turning in work and began sitting silently in the back of the room, disengaged and defiant.
One afternoon, instead of lecturing him about missing assignments, I asked a different question: “What would make school feel worth showing up for again?”
That simple question opened a door. Over the following weeks, Jalen began sharing ideas for projects connected to his interests, designing sneakers and exploring how geometry applies to shoe patterns. I adapted lessons to let him create, design, and analyze. Slowly, his confidence returned. Months later, he told me, “You made me feel like my ideas mattered.”
That moment reminded me that teaching isn’t just about delivering content; it’s about restoring belief in learning, and in oneself.
Play brings joy and happiness to learning. Infusing play in schools prepares kids as future citizens.
When you play a game with your friends, how do you feel?
When you see children playing with other children, what do you notice?
Ask a child if they remember the worksheet they filled out last week.
Did they have fun?
Do they remember what they learned?
Let’s play more and discover how learning unfolds.
Schools can invest in more play through games, interactive experiences, and just making learning fun. Providing engaging activities through play creates learners who become critical thinkers, researchers, and designers.
Empowering Students Through a Focus on Incremental Progress — from edutopia.org by Kathy Collier Elementary teachers can help students feel confident tackling big goals by encouraging them to focus on getting a little bit better every day.
Discovering Global Sounds Through the Recorder — from edutopia.org by Nina Stern, JoDee Scissors Music teachers can guide exploration of musical styles from around the world to spark elementary students’ curiosity and build community.
It begins with a basic reversal of mindset: Stop treating AI as a threat to be policed. Start treating it as the accelerant that finally forces us to build the education we should have created decades ago.
A serious institutional response would demand — at minimum — six structural commitments:
Make high-intensity human learning the norm. …
Put active learning at the center, not the margins. …
Replace content transmission with a focus on process. …
Mainstream high-impact practices — stop hoarding them for honors students. …
Redesign assessment to make learning undeniable. …
And above all: Instructional design can no longer be a private hobby.
How to Integrate AI Developmentally into Your Courses
Lower-Level Courses: Focus on building foundational skills, which includes guided instruction on how to use AI responsibly. This moves the strategy beyond mere prohibition.
Mid-Level Courses: Use AI as a scaffold where faculty provide specific guidelines on when and how to use the tool, preparing students for greater independence.
Upper-Level/Graduate Courses: Empower students to evaluate AI’s role in their learning. This enables them to become self-regulated learners who make informed decisions about their tools.
Balanced Approach: Make decisions about AI use based on the content being learned and students’ developmental needs.
Now that you have a framework for how to conceptualize including AI into your courses here are a few ideas on scaffolding AI to allow students to practice using technology and develop cognitive skills.
What was encouraging, though, is that students aren’t just passively accepting this new reality. They are actively asking for help. Almost half want their teachers to help them figure out what AI-generated content is trustworthy, and over half want clearer guidelines on when it’s appropriate to use AI in their work. This isn’t a story about students trying to cheat the system; it’s a story about a generation grappling with a powerful new technology and looking to their educators for guidance. It echoes a sentiment I heard at the recent AI Pioneers’ Conference – the issue of AI in education is fundamentally pedagogical and ethical, not just technological.
My take is this: in all of the anxiety lies a crucial and long-overdue opportunity to deliver better learning experiences. Precisely because Atlas perceives the same context in the same moment as you, it can transform learning into a process aligned with core neuro-scientific principles—including active retrieval, guided attention, adaptive feedback and context-dependent memory formation.
Perhaps in Atlas we have a browser that for the first time isn’t just a portal to information, but one which can become a co-participant in active cognitive engagement—enabling iterative practice, reflective thinking, and real-time scaffolding as you move through challenges and ideas online.
With this in mind, I put together 10 use cases for Atlas for you to try for yourself.
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6. Retrieval Practice
What: Pulling information from memory drives retention better than re-reading. Why: Practice testing delivers medium-to-large effects (Adesope et al., 2017). Try: Open a document with your previous notes. Ask Atlas for a mixed activity set: “Quiz me on the Krebs cycle—give me a near-miss, high-stretch MCQ, then a fill-in-the-blank, then ask me to explain it to a teen.” Atlas uses its browser memory to generate targeted questions from your actual study materials, supporting spaced, varied retrieval.
From DSC: A quick comment. I appreciate these ideas and approaches from Katarzyna and Rita. I do think that someone is going to want to be sure that the AI models/platforms/tools are given up-to-date information and updated instructions — i.e., any new procedures, steps to take, etc. Perhaps I’m missing the boat here, but an internal AI platform is going to need to have access to up-to-date information and instructions.
From DSC: Stephen has some solid reflections and asks some excellent questions in this posting, including:
The question is: how do we optimize an AI to support learning? Will one model be enough? Or do we need different models for different learners in different scenarios?
A More Human University: The Role of AI in Learning — from er.educause.edu by Robert Placido Far from heralding the collapse of higher education, artificial intelligence offers a transformative opportunity to scale meaningful, individualized learning experiences across diverse classrooms.
The narrative surrounding artificial intelligence (AI) in higher education is often grim. We hear dire predictions of an “impending collapse,” fueled by fears of rampant cheating, the erosion of critical thinking, and the obsolescence of the human educator.Footnote1 This dystopian view, however, is a failure of imagination. It mistakes the death rattle of an outdated pedagogical model for the death of learning itself. The truth is far more hopeful: AI is not an asteroid coming for higher education. It is a catalyst that can finally empower us to solve our oldest, most intractable problem: the inability to scale deep, engaged, and truly personalized learning.
Increasing the rate of scientific progress is a core part of Anthropic’s public benefit mission.
We are focused on building the tools to allow researchers to make new discoveries – and eventually, to allow AI models to make these discoveries autonomously.
Until recently, scientists typically used Claude for individual tasks, like writing code for statistical analysis or summarizing papers. Pharmaceutical companies and others in industry also use it for tasks across the rest of their business, like sales, to fund new research. Now, our goal is to make Claude capable of supporting the entire process, from early discovery through to translation and commercialization.
To do this, we’re rolling out several improvements that aim to make Claude a better partner for those who work in the life sciences, including researchers, clinical coordinators, and regulatory affairs managers.
AI as an access tool for neurodiverse and international staff— from timeshighereducation.com by Vanessa Mar-Molinero Used transparently and ethically, GenAI can level the playing field and lower the cognitive load of repetitive tasks for admin staff, student support and teachers
Where AI helps without cutting academic corners When framed as accessibility and quality enhancement, AI can support staff to complete standard tasks with less friction. However, while it supports clarity, consistency and inclusion, generative AI (GenAI) does not replace disciplinary expertise, ethical judgement or the teacher–student relationship. These are ways it can be put to effective use:
The Sleep of Liberal Arts Produces AI — from aiedusimplified.substack.com by Lance Eaton, Ph.D. A keynote at the AI and the Liberal Arts Symposium Conference
This past weekend, I had the honor to be the keynote speaker at a really fantstistic conferece, AI and the Liberal Arts Symposium at Connecticut College. I had shared a bit about this before with my interview with Lori Looney. It was an incredible conference, thoughtfully composed with a lot of things to chew on and think about.
It was also an entirely brand new talk in a slightly different context from many of my other talks and workshops. It was something I had to build entirely from the ground up. It reminded me in some ways of last year’s “What If GenAI Is a Nothingburger”.
It was a real challenge and one I’ve been working on and off for months, trying to figure out the right balance. It’s a work I feel proud of because of the balancing act I try to navigate. So, as always, it’s here for others to read and engage with. And, of course, here is the slide deck as well (with CC license).
When it comes to innovation in higher education, most bets are being placed on technology platforms and AI. But the innovation students, faculty and industry need most can be found in a much more human dimension: co-teaching. And specifically, a certain kind of co-teaching – between industry experts and educators.
While higher education has largely embraced the value of interdisciplinary teaching across different majors or fields of study, it has yet to embrace the value of co-teaching between industry and academia. Examples of co-teaching through industry-education collaborations are rare and underutilized across today’s higher ed landscape. But they may be the most valuable and relevant way to prepare students for success. And leveraging these collaborations can help institutions struggling to satisfy unfulfilled student demand for immersive work experiences such as internships.
From DSC: It’s along these lines that I think that ADJUNCT faculty members should be highly sought after and paid much better — as the up-to-date knowledge and experience they bring into the classroom is very valuable. They should have equal say in terms of curriculum/programs and in the way a college or university is run.
