instructional design

Links:

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.

Tips for teachers from edutopia.org

On 08/25/2026, in education, Emotion, engagement / engaging students, ideas, instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, pedagogy, productivity / tips and tricks, reading, research, science, skills, student-related, teachers, writing, youth, by Daniel Christian

Exceptional Videos of Authors Reading Their Books Aloud for Young Students — from edutopia.org by Kristin Rydholm
These 14 books can help teachers celebrate student writing by weaving literacy and social and emotional learning into the school day.

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.

4 Ways to Encourage Great Questions in the Science Classroom — from edutopia.org by Katie Budrow
Here’s how a middle school teacher guides students to proactively ask and answer questions like ‘why does that happen?’

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.

A First-Week Routine That Gets Middle School Students Thinking Like Scientists — from edutopia.org by Bexaida Buzzie
Here’s a day-by-day plan for guiding your students to start the year by asking questions. Just resist the urge to answer them.

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.

“What does an AI-competent lawyer actually look like, in measurable skills, and can you build it before they sit for the bar?” [Kubicki]

On 08/24/2026, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, instructional design, intelligent systems, law schools, Learning Experience Design, Legal operations, legal reform, legal technologies, legislatures / government / legal, United States, universities, by Daniel Christian

It's 7 AM. In a few hours I walk into a room with 25 law students and nobody is going to open a slide deck.

They're going to open laptops and start building.

This is the fall semester at IU Maurer School of Law, and I teach generative AI the way I think it should be practiced:… pic.twitter.com/m0YwCGAja3

— Josh Kubicki (@jkubicki) August 20, 2026

We Keep Designing the Future from the Past — from LinkedIn.com by Monty Alger

“Using AI to create the practice opportunities online students need” [Miller Perkins] + other items re: AI in our learning ecosystems

On 08/19/2026, in 21st century, 24x7x365 access, adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, assessment, business, career development, colleges, communications, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, Emotion, engineering, experimentation, faculty/staff, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, leadership, learning, learning agents, learning ecosystem, Learning Experience Design, learning spaces, liberal arts, mathematics, online learning, personalized/customized learning, productivity / tips and tricks, professional development, student-related, teachers, teaching & learning, technologies for your home, tools, training / L&D, UK, United States, universities, vendors, workplace, youth, by Daniel Christian

Using AI to create the practice opportunities online students need— from timeshighereducation.com by Kathy Miller Perkins
For disciplines that depend on interpersonal skills such as communication, leadership, negotiation and mediation, AI can provide elusive experiential learning, particularly in asynchronous environments

What if AI’s greatest educational value lies not in generating answers but in generating experiences?

The result surprised me. Students did not simply interact with the AI, they meaningfully engaged with it. Many reported that the experience felt valuable precisely because the simulated conversation partner pushed back. Unlike classmates who sometimes hesitate to challenge one another, the AI consistently maintained its position. Students had to work harder, listen more carefully and apply the communication strategies they had spent weeks learning. And, importantly, they practised.

Here’s how to show students what responsible AI use looks like — from timeshighereducation.com by Andrew Firr and Alex Fenton
Well-designed assessments can highlight generative AI’s limitations, where it can provide support and what responsible practice looks like. Andrew Firr and Alex Fenton offer strategies

We have been exploring ways to offer this in our Level 7 module for MSc engineering management students, many of whom come from the Global South. Assessment is built around a practical design problem: students examine how a real campus process operates, where delays occur, evidence they observe and how a feasible redesign might improve the system – in a 3,000-word essay.

They can use AI for planning and providing clarity, but not for generating the evidence on which the analysis rests. Invented observations, measurements, screenshots or unverifiable citations are prohibited. The assessment design reinforces this through a case study, diagram, fact-checking exercise and a short AI use statement.

Requiring an AI use statement encourages students to reflect on their processes. We ask which tool they used, how they used it, how they checked the output and which parts of the work depended on their own evidence and judgement. It reminds them that evidence must be theirs and that citations must be manually verified.

Slow math: Kids may learn more when AI makes them review mistakes — from hechingerreport.org by Jill Barshay and Kristin Fasiang
A randomized experiment involved more than 6,000 Tennessee middle school students learning fractions

In an experiment involving more than 6,000 middle schoolers in Tennessee, students learned slightly more math when an AI tutor walked them through their mistakes and then required them to demonstrate the same skill correctly three times in a row before moving on.
…
The winning combination wasn’t the addition of AI tutoring alone, but AI tutoring plus repetition, with the idea that students needed to stick with the skill to demonstrate some level of mastery. The students who practiced math with this AI-enhanced “mastery learning” approach scored about 3 percentage points higher than students receiving conventional computerized instruction. The advantage was small.

I Built a Team of AI Bots That Write Feedback Better than Me. Here’s How. — from drphilippahardman.substack.com by Dr Philippa Hardman
Aka, how to make learners love AI-assisted feedback, rather than loathe it.

This wasn’t hidden from the cohort. For reasons I’ll come to below, I always tell my cohorts at the very start that an AI assistant will be helping me draft their feedback. The aim wasn’t to remove me from the process, but to find out whether AI could help me to deliver feedback at a volume and quality that I simply couldn’t maintain without AI.

Spoiler: the experiment worked — but not for the reason I expected. In this post, I’ll share exactly what I built, tell you how to build a version for your course and reveal the three conditions that decide whether learners trust AI-assisted feedback or quietly stop reading it.

TL;DR: the spec for my feedback assistant is long not because the model needs persuading, but because it’s where my judgement lives. Every rule in it is a decision AI would otherwise make by itself, with limited expertise. A spec doesn’t make the model smarter — it makes expertise and judgement legible enough for the model to follow.

Of the five stages of AI grief, some managers are stuck in denial— from timeshighereducation.com by Shadi Mohamed
Acceptance is not surrender. It is about getting beyond a policing obsession and rethinking what assessment aims to measure, says Shadi Mohamed

In that moment of institutional blindness, it struck me: universities are not merely struggling with a technological adoption curve. They are grieving the demise of the modern university’s economic and institutional logic.

To understand the scale of this threat posed by AI, consider what the internet did to journalism. Newspapers thrived by bundling together classified advertising with quick news hits, sports scores and opinion columns, using that reliable revenue to fund the expensive social necessity of investigative reporting. The rise of internet advertising did not kill journalism outright but it shattered the bundle, leaving the expensive core product without its historical financial engine.

Universities operate on a similar logic, bundling content delivery, assessment, credentialling, research and professional formation. But generative AI is now commodifying the most visible parts of that package. When AI can deliver personalised explanations instantly and generate the essays and reports we use to measure student capability, the traditional degree loses its role in the labour market as a proxy for understanding. If the bundle breaks, the economic model that funds our deeper purposes is in peril.

Bring playfulness into teaching for collaboration and creativity — from timeshighereducation.com by Isabel Taurel
In learning, playfulness is often overlooked. Yet it could be key to embedding the soft, ‘human’ skills students will need for the future. Isabel Taurel shows how

The same is true in higher education. Students who are able to rediscover a playful mindset leave the classroom with something far more valuable than a good grade. They develop confidence, are more willing to contribute unusual ideas and learn how to adapt when the unexpected happens. These are precisely the qualities employers increasingly tell us they need.

Yet the creative and cultural industries demonstrate their growing value. Success increasingly depends on collaboration, adaptability and creative confidence, all qualities that are fostered through arts-based learning and increasingly sought in every kind of workplace.

Playfulness isn’t a distraction from serious learning. It’s one of the most powerful ways we have of preparing students for a future in which the most valuable skills may be the most deeply human ones: listening, presence, responsiveness, imagination and a capacity to create meaning together.

Student Voices: Technology as a Future Learning Partner — from campustechnology.com by Mary Grush
A Q&A with Eli Blouin and Mark Frydenberg

Key Takeaways

With advanced technologies, we’re moving from accessing learning resources to participating in technology learning partnerships.
Technology learning partners participate in the learning process by asking questions and giving feedback, not just information search results.
Tomorrow’s technology learning partners will understand the whole learner — including knowledge gaps and personal learning style.
Student experiences with AI and other technologies today will inform the next generation of human/machine learning partners.

Grush: What do you think may be among the most meaningful changes in, say, the next five years?

Blouin: When I think of what will improve in the next five years — and I truly believe it’s where we’re ultimately heading — I think it will be the technology learning partner’s ability to gain a full picture of the learner. The technology will be able to take absurd amounts of context — and data — and understand the learner as a whole: where their gaps are, what they need to learn, how they learn, and how to create content tailored to a particular student. In an instant it would be able to assess, to test knowledge, and know the student as a whole person. That would be an ideal learning partner.

How to Design Around Cognitive Offloading [Hardman]

On 08/10/2026, in corporate universities / corporate training, emerging technologies, faculty/staff, instructional design, learning, Learning Experience Design, learning theories, productivity / tips and tricks, professional development, research, teachers, teaching & learning, training / L&D, by Daniel Christian

How to Design Around Cognitive Offloading — from drphilippahardman.substack.com by Dr Philippa Hardman
Three new studies shed light on when offloading to AI harms learning, when it helps — and how to design for the difference

A cluster of new studies — most published in the last few weeks in the International Journal of Educational Technology in Higher Education — lets us answer two questions with more precision than ever before:

When does cognitive offloading actually happen?
When does using AI improve cognition?

The answers in turn help us to start to design learning which intentionally uses AI to drive – rather than diminish – learning.
.

15 Best Instructional Design Conferences To Attend [Pappas]

On 08/10/2026, in corporate universities / corporate training, elearning, emerging technologies, instructional design, intelligent systems, intelligent tutoring, learning, learning ecosystem, Learning Experience Design, productivity / tips and tricks, professional development, training / L&D, by Daniel Christian

15 Best Instructional Design Conferences To Attend — from elearningindustry.com by Christopher Pappas

Overview: Looking for the best Instructional Design conference in 2026? Explore 15 leading learning, L&D, eLearning, and training conferences worldwide to build skills, discover learning technology, and expand your professional network.

What Nobody Warns You About Teaching College for the First Time [Morales]

On 08/10/2026, in adjunct faculty, colleges, community colleges, education, faculty/staff, higher education, ideas, instructional design, K-12 related, learning ecosystem, Learning Experience Design, teachers, teaching & learning, United States, universities, vendors, by Daniel Christian

What Nobody Warns You About Teaching College for the First Time — from facultyfocus.com by Christopher Morales; this article is behind a firewall

What became clear throughout these conversations was that secondary and postsecondary education often prioritize very different instructional skill sets.

In K–12 education, teachers frequently receive formal preparation in:

classroom management,
scaffolding,
differentiation,
assessment design,
engagement strategies,
and developmental learning theory.

In higher education, disciplinary expertise is often treated as the primary qualification for teaching.

Yet many instructors pointed out that expertise alone does not automatically translate into effective instruction.

Also from Faculty Focus, see:

The Syllabus and the Scar Tissue: What Leadership Preparation Programs Leave Out and Why It Matters — from facultyfocus.com Andy Szeto, EdD; this article is also behind a firewall

Will this new company be the largest company on the Internet by 2030? [Christian]

On 08/01/2026, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, Bias | Diversity Equity & Inclusion (DE&I), career development, cloud-based computing / apps / other cloud-related, communities of practice, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, cost of getting a degree, credentialing, curriculum, Daniel S. Christian, digital learning, disruption, education, education technology, elearning, emerging technologies, engagement / engaging students, future, future of higher education, game-changing environment, generational differences, global / globalization, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, informal learning, innovation, instructional design, intelligent systems, intelligent tutoring, internet, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, lifelong learning, love of learning, more voice more choice more control, motivation, online learning, online media, online tutoring, pathways, personalized/customized learning, platforms, productivity / tips and tricks, professional development, reinvent, society, staying relevant, student-related, teachers, teaching & learning, training / L&D, United States, vision/possibilities, web-based collaboration, youth, by Daniel Christian

From DSC:
The vision that I’ve been tracking for well over a decade begins with this graphic:
.

Could LearnVector be this next-generation company/platform? Perhaps. Time will tell.

Per Matt Tower via The EdSheet Vol. 38 dated 7/31/26:

Coursera bets $100M on its own co-founder: Andrew Ng’s new venture LearnVector lands one of the largest single checks in edtech this year — from Coursera, the company he founded 14 years ago.
.

LearnVector.ai

Why AI Is Changing What It Means to Be Intelligent [Elliott]

On 07/31/2026, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, colleges, community colleges, education technology, experimentation, faculty/staff, higher education, human-computer interaction (HCI), instructional design, intelligent systems, learning ecosystem, Learning Experience Design, teaching & learning, United States, universities, by Daniel Christian

Why AI Is Changing What It Means to Be Intelligent — from facultyfocus.com by Lydia Elliott, EdD; article may be behind a paywall

Practical adjustments may include:

oral explanations of written work
case-based or scenario-based exercises
reflective reasoning assignments
feedback conversations
requiring students to justify decisions

These approaches do not eliminate AI. They place learning where AI cannot substitute: interpretation, reasoning, and responsibility.

How Explainer Video Production Turns Ideas Into Clear Stories [Williamson]

On 07/31/2026, in adult learning, business, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, digital storytelling, digital video, ideas, instructional design, learning, Learning Experience Design, productivity / tips and tricks, training / L&D, by Daniel Christian

How Explainer Video Production Turns Ideas Into Clear Stories — from bitrebels.com by Lauren Williamson

Ideas rarely arrive in a neat order. They show up as notes, claims, diagrams, feature lists, and customer questions. Explainer video production turns that raw material into a story people can process quickly. It clarifies the problem, frames the change, and shows why the answer matters. When the script, visuals, voice, and pacing work together, viewers spend less energy decoding the message and more attention on absorbing it.

Explainer video production works because it gives ideas a usable order. It turns scattered information into a story with purpose, pace, and visual evidence. The strongest results come from careful message decisions before animation starts. When script, design, voice, and timing support one central point, viewers can follow with less effort. That clarity helps organizations teach, persuade, and make it easier to remember.

What’s the Story Your Syllabus Tells?: Setting the Stage for Learning — from facultyfocus.com by Dr. Daniel Andrés Rivera Rosado

But as I was reading Everyday Christian Teaching by Dr. David Smith, in the chapter titled Speaking, Hearing, Hospitality, in just the first paragraph he writes: “Teachers do not simply list course content for learners. They sequence it in ways that imply a story about what fits together and where it is headed.” (2025, p.73). Automatically I asked myself, what is the story my syllabus is telling students? To be completely honest, is it even telling a story at all?

“Is your syllabus helping your students at all?”

From DSC:
To that last sentence, I might add the words engaging, raising curiosity or wonder, or is it interesting to your students at all? Is there a “hook” that gets them interested? It might be a central question or two — and/or use some beneficial and relevant graphics. I’ve heard faculty use digital/interactive syllabi as well to engage their students.

Learning Ecosystems

Bring playfulness into teaching for collaboration and creativity [Taurel]

How to Design Around Cognitive Offloading [Hardman]

15 Best Instructional Design Conferences To Attend [Pappas]

How Explainer Video Production Turns Ideas Into Clear Stories [Williamson]

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