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.


 

As fewer young people choose college, this district wants to ensure they have career options — from hechingerreport.org by Ariel Gilreath
In Niagara Falls, New York, a town with shrinking job options, students are encouraged to consider their careers in ninth grade

At Niagara Falls High School, students are encouraged to consider their careers upon arrival in ninth grade. By 11th grade, every student at the school must pick from one of five pathways, ranging from business and finance to design and engineering. The shift toward career education comes as about one-third of seniors at Niagara Falls High are rejecting college and instead choosing to enter the workforce after graduation, compared with roughly a quarter a decade ago, said Superintendent Mark Laurrie, who retired in June. In a town that’s struggled with population declines, where now-shuttered manufacturing plants once dominated the local labor market, there’s an urgency to prepare high school students for careers.

“It’s important to give them hope for the future with a career pathway — a career, not a job — to have something to aspire to and, hopefully, keep them in the city and in the state,” Laurrie said.

 

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.

 

Colossians 3:16

Let the message of Christ dwell among you richly as you teach and admonish one another with all wisdom through psalms, hymns, and songs from the Spirit, singing to God with gratitude in your hearts.

2 Timothy 3:16-17

16 All Scripture is God-breathed and is useful for teaching, rebuking, correcting and training in righteousness, 17 so that the servant of God may be thoroughly equipped for every good work.

Hebrews 1:5

The Son Superior to Angels
For to which of the angels did God ever say,

“You are my Son;
today I have become your Father”?
Or again,

“I will be his Father,
and he will be my Son”?

Hebrews 1:13

To which of the angels did God ever say,

“Sit at my right hand
until I make your enemies
a footstool for your feet”?

Hebrews 1:8

But about the Son he says,

“Your throne, O God, will last for ever and ever;
a scepter of justice will be the scepter of your kingdom.

 

 

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.

 

A New Resource for People Who Want to Strengthen Democracy — from thriveedu.substack.com by Lucy Gray
The Democratic Action Library Launches This Week

It is easy to feel overwhelmed by the state of democracy. The news moves quickly, public debate is often exhausting, and much of the advice about “getting involved” is too vague to be useful. People need practical places to begin.

This week, we are launching the Thrive Democracy Action Library, a collection of guides for people who want to participate more thoughtfully and effectively in democratic life. Everyone who registers for Thrive2: United for Democracy and Global Action will receive access to the library.

 

Paying vendors for student results — from hechingerreport.org by Jill Barshay
The first evaluation of outcomes-based contracting found student achievement sometimes improved under this approach

Instead of paying vendors simply for delivering these tools, school districts are experimenting with a new approach to purchasing, called outcomes-based contracting, in which part of a vendor’s payment depends on whether students actually use the service and meet agreed-upon academic goals. The idea is to share risk between schools and vendors — and create incentives for both sides to pay closer attention to whether an intervention is working.

From DSC:
This could be tough to do. But it’s an interesting posting/idea/approach/strategy. Are the goals reached due to the tools/products/services of the vendors or are those products and services just one piece of the overall learning pie?

 

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:

  1. When does cognitive offloading actually happen?
  2. 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.
.

 
 

From the LegalTech Fund’s Q2 2026 Update:

Industry Foresight: Following the successful completion of Pathways Phase 1, we launched Pathways Phase 2: The Future of Law in partnership with Harvey and Law.com. Phase 2 brings together a curated cohort of legal industry leaders, innovators, academics, and operators to develop future scenarios and identify the critical legal, regulatory, business, capital, and technology inflection points that may shape the industry through 2040. The resulting framework will serve as a shared strategic tool to help the legal ecosystem navigate uncertainty and prepare for multiple possible futures.


 

From MLive.com’s John Hiner — in his Letter from the Editor dated 8/6/26:
40 years of change taught me this: It’s never really been about the technology 

What I’ve learned over 40 years is that people rarely resist change because they dislike innovation. More often, it’s because they’re worried they’ll lose something they value. 

 

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 — 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

 
 
© 2025 | Daniel Christian