Should Lecturers Know How Learning Works?⤴

from @ Memory and Metacognition Updates

I recently read an article by Steiner and Hakala (2021) which focused on knowledge of learning among university lecturers. It’s titled, "What Do SoTL Practitioners Need to Know about Learning?”. SoTL stands for scholarship of teaching and learning, a term widely used in the Higher Education sector to refer to pedagogical research.

As you can imagine, I’m very interested in the question of how much educators should know about learning! That is, after all, the purpose of these updates – sharing more about the nuts and bolts of how learning works.

I agreed with this point that the authors make at the outset:

“The primary goal of many faculty engaging in the scholarship of teaching and learning is simply to improve the classroom environment for students so that learning is more effective … These faculty, however, are often not experts in the field of learning, and, pressed for time, may rely on strategies that contradict recent research on teaching and learning …” (p. 79).

They follow this with an argument about the complexity and extent of learning research, highlighting a practical problem that practitioners face in terms of where to start (and stop). How much you need to know before you are ready to do T&L research of your own is a complex question, and one that mirrors debates around teacher action research in schools.

I was a little concerned by the position they land on, however:

“ … we argue that SoTL practitioners do not need to be fluent in all areas of the science of learning. Rather, they need to be good consumers of the literature and be aware of how to translate this work into classroom behavior.” (p. 80).

I am not convinced by the argument that educators can be consumers of research without knowledge. This implies that they can figure things out as they go along, using their intuition. It’s a skills-over-knowledge argument.


An academic book and notebook lying open with a pen
Academic reading - image via Pixabay here.

Granted, it does depend on what the authors mean by terms such as ‘fluent’. It’s notable that they don’t say ‘experts’ in the quote above (which I might have been more inclined to agree with).

I can also accept a pragmatic argument that it’s impossible for all educators (most very busy with their own specialist areas of knowledge and practice) to become experts in the learning sciences – something that’s a big ask even for a PhD student in the field.

All the same, there is a value in knowing enough that you recognise your own errors and have an awareness of key pitfalls.

We know from other research that many university instructors have misconceptions about learning (e.g. Fragkaki et al., 2022), and that learning myths are widespread in published research to which they may be exposed (Newton, 2015).

I’d therefore argue that it is well worthwhile for SoTL practitioners and other educators to become equipped with the fundamentals of learning phenomena and methodology, and that it’s feasible to become at least a well-informed generalist, if not an expert.

Doing so will help them to engage as critical consumers of research literature, in line with Steiner and Hakala (2021)’s proposal, as well as helping advance the research by engaging in scholarly debates about how findings can be applied in local settings.

It could also discourage lecturers from wasting time investigating discredited fads and learning myths.

Learning basics?

What are your thoughts – to what extent is it necessary for educators to understand learning? Could we see teachers, lecturers and other professional educators as well-informed generalists? What is your own experience of this issue?


Steiner, H. H., & Hakala, C. M. (2012). What do SoTL practitioners need to know about learning? Teaching & Learning Inquiry, 9(1), 79–85. http://dx.doi.org/10.20343/teachlearninqu.9.1.7


You might also be interested in this post that I wrote, which has a short list of things I suggest that every educator should know.

All the best for the coming week,

Jonathan


Last time: Does Retrieval Classroom Work in Real Classrooms?

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TECHday Glasgow 2026: What Colleges Can Learn from the Latest AV and AI Innovations⤴

from @ ...........Experimental Blog

 


With colleges wrestling with hybrid delivery, estate pressures, and the rapid rise of AI, this year’s TECHday event felt less like a tech showcase and more like a snapshot of where FE learning spaces could be heading, if we have the investment to support the closure of the digital divide. 

Mediascape’s annual gathering may be compact, but it continues to offer one of the clearest windows into the technologies that will shape teaching and learning over the next few years.

It's great to meet and see all the suppliers who all use MediaScape to install and service their systems.  

It was great to catch up with lots of old friends and make some new ones. I still really like SmartBoard Mini.


What stood out this time was the shift from speculative AI conversations to practical, deployable solutions, tools that can make a difference in classrooms tomorrow, not in some distant future.


AI‑Ready Classrooms Are Becoming the New Standard

Across the exhibitor stands, the strongest theme was the shift toward AI‑enhanced teaching environments. Not abstract AI, not hype, but practical tools that make hybrid delivery smoother and reduce staff workload.

I saw intelligent camera and microphone arrays that automatically track speakers, built‑in AI captioning and transcription that actually works in real time, and Teams/Zoom‑certified room kits designed for reliability rather than complexity. 

Wireless presentation systems rounded out the picture, supporting flexible, device‑agnostic teaching. For colleges still juggling inconsistent hybrid setups, these solutions felt mature, stable, and ready to deploy. I can be a sucker for gadgets, and I really liked the handy cam that was being used to capture the proceedings. 







Immersive Learning Is Moving Into the Mainstream

Another standout trend was the rise of immersive and simulation‑based learning. Large LED walls, interactive displays, and projection systems are becoming more affordable and more adaptable to vocational contexts.

For construction, engineering, and health programmes, simulation environments now offer realistic, safe spaces for learners to practise skills before stepping into real‑world placements. These tools aren’t just visually impressive;  they support deeper engagement, repetition, and confidence‑building, especially in sectors where placement capacity is tight, or learners need more time to develop practical competence - you can wander around in spaces that you cannot access in real life. 

And the simple set of wireless headsets that can turn a noisy atrium or busy exhibition space into a viable space for focused presentations could be used for a silent disco, too.



Smart‑Campus Tech Is Quietly Transforming Estates Planning

I was lucky latterly to be on a smart campus. Though I was never sure where the data actually went.

An increasingly important strand of the event focused on smart‑building technologies. These systems can monitor occupancy, automate environmental controls, and feed real‑time data into estate dashboards. For colleges managing ageing estates, fluctuating timetables, and ambitious carbon‑reduction targets, this kind of intelligence is becoming essential. The shift toward data‑driven estates planning was clear: institutions will soon expect their buildings to tell them how they’re being used, where energy is being wasted, and how learning spaces can be optimised. Well, I would expect that data as a board member.


A Chance to Reconnect — and a Reminder of Sector Realities

One of the unexpected highlights of the day was catching up with colleagues from my own FE past — including an early‑career IT technician I once knew who’s now the head of technology at a major Glasgow college. It was a reminder of how much the sector evolves, and yet how many of the challenges stubbornly stay the same.

We ended up swapping stories that felt painfully familiar: significant investment in hybrid classrooms, but far less investment in the staff development needed to make that technology work. The result is predictable: frustration, wasted money, and teaching staff who, through no fault of their own, end up dismantling or bypassing equipment simply because they don’t know what it does. Every college seems to have its own horror stories. The shared wisdom was simple: if in doubt, ask a tech, and always check the room is working before you start teaching. It’s not glamorous advice, but it’s the difference between a smooth session and a chaotic one, and pulling all the wires out will never make a system work. 

Had a good chat too about how easy it is to open up SharePoint to share learning materials beyond the organisation and around, no-cost solutions to allow staff to create local agents in Microsoft Co-Pilot. But I fear we are still some way off from that being normal practice.  


Cybersecurity and AI Governance Are Rising Priorities

As AI becomes more embedded in teaching spaces and campus systems, cybersecurity is moving rapidly up the agenda. Several sessions highlighted the risks associated with AI‑enabled devices, from data capture to network vulnerabilities and the need for robust governance frameworks. For colleges, this reinforces a simple truth: adopting AI isn’t just about innovation. It’s about ensuring that the systems supporting learners and staff are secure, compliant, and aligned with institutional policies. You don't get any shadow IT when IT is innovative and aligned with learning and teaching. 


So What Does TECHday Tell Us About the Future of FE?

For me, the event reinforced a few key points:

  • The future of FE learning is hybrid, flexible, and AI‑supported
  • Teaching spaces need to be AI‑ready, not just AV‑equipped
  • Immersive and simulation technologies are becoming core to vocational delivery
  • Estates teams will increasingly rely on data‑driven decision‑making
  • AI governance and cybersecurity must evolve alongside innovation
  • Staff do need time, support, and training to make the best use of what is available. 
  • We need open platforms. Was interesting to hear how easy it would be to make SharePoint open - and how resistant techs are to opening the platform up and or allowing staff access to tools to build their own AI agents. 

TECHday Glasgow didn’t offer speculative visions of the future. It offered practical, deployable technologies that colleges can adopt right now to improve teaching, learning, and campus operations.

And in a sector where time, budgets, and staff capacity are always tight, that’s exactly what we need.



Telling the world why interdisciplinary learning matters⤴

from @ The Interdisciplinary Learning Network

Looking back on the Interdisciplinary Learning and Teaching Conference 2026, I still feel deeply grateful and inspired. My strongest impressions come from the formal presentations as well as the informal interactions around them: the gatherings before and after the conference, the exchanges over lunch, and the moments when people continued to think together, or quietly on their own, after each session had ended.

These moments mattered to me because they reminded me that interdisciplinarity is not only a concept discussed in formal academic settings. It is also a way of communicating and practising across different fields, spaces, and contexts. Conference participants came from different institutions, disciplinary backgrounds, educational levels, and professional roles. In this sense, the conference itself became a small interdisciplinary space: a place where different ways of thinking could meet, connect, challenge, and enrich one another.

This year’s conference theme, “Interdisciplinary Pathways”, connected closely with my research. When “pathways” are mentioned, many people may think of routes through curricula, modules, degree structures, or institutional arrangements. I understand pathways more broadly as lived experiences: the ways in which learners and teachers move through unfamiliar ideas, methods, tools, spaces, collaborations, and expectations. Pathways are not only designed through formal structures; they are also experienced, negotiated, and reshaped by people.

I gave a five-minute flash talk at the conference based on my emerging PhD project, which explores how undergraduate students experience boundary crossing during interdisciplinary learning and teaching in postdigital learning spaces. As this was my first in-person academic conference presentation, I felt a little nervous but more excited. In the project, I am interested in two undergraduate pathways into interdisciplinary learning: students enrolled in interdisciplinary degree programmes, and students from single-discipline degree programmes who take interdisciplinary electives. Rather than evaluating which group performs better, I hope to understand how different pathways shape students’ interdisciplinary learning experiences, including what feels exciting, difficult, unfamiliar, supportive, or transformative.

This interest in different pathways matters because students do not all begin from the same starting point when they enter interdisciplinary learning spaces. Some students may understand interdisciplinarity as part of their programme identity from the beginning. Others may experience it as a temporary movement away from a more familiar disciplinary background. Some students may need more support in recognising the value of their own disciplinary background in an interdisciplinary space, while others may need more opportunities to understand what interdisciplinarity means beyond creativity, collaboration, or innovation.

One line from the conference particularly stayed with me: “We teach students to grow food, manage forests, and protect ecosystems. The least we can do is to teach them the language to tell the world why it matters.” I found this sentence powerful because it frames language not only as a means of communication, but also as a way of making knowledge visible, meaningful, and connected to the wider world. If we read “language” as a metaphor for interdisciplinary education, then every time we answer the question “What is ‘interdisciplinary’?”, every time we respond to “How do we understand it?”, and every effort we make to design and practise interdisciplinary courses or projects, we are also trying to tell the world why it matters.

Knowledge and skills become more meaningful when students can connect them to wider contexts, communicate their significance, and understand why they matter beyond a single classroom, discipline, or professional field. In this sense, interdisciplinarity is not simply a supporting skill. Rather, it works as a bridge, connecting expertise with society, knowledge with responsibility, and learning with the wider world.

This also made me reflect on a common misunderstanding of interdisciplinary education. Sometimes, interdisciplinarity is misunderstood as training students to know “a little bit of everything”. From that perspective, it may seem less valuable than becoming highly specialised in one clearly defined field. For a long time, we have lived in a world that celebrates exceptional expertise within particular domains: the mathematician, the engineer, the AI specialist, the translator, the economist, the designer. Of course, disciplinary depth has enormous value, and interdisciplinary education does not aim to deny this. At the same time, interdisciplinarity does not stand in opposition to expertise, nor is it an attempt to replace traditional disciplines. Disciplines remain essential foundations of universities and knowledge-making. Rather, interdisciplinarity asks creative and necessary questions: how can deep knowledge speak to other forms of knowledge? How can different forms of expertise be connected, translated, challenged, and reimagined in response to problems that cannot be contained within a single field?

This matters because students are entering a world that is not organised according to disciplinary boundaries. Climate change, health inequalities, urban futures, sustainability, and education itself are all complex, entangled, and uncertain. They cannot be fully understood or addressed through one lens alone. These “wicked” problems certainly require specialists, but they also require people who can move across differences, communicate across fields, and hold multiple perspectives in view.

I think the meaning of interdisciplinary education goes far beyond simply “integrating disciplines”. It is not only about putting different disciplinary methodologies or theories together. Rather, it is about cultivating a way of thinking that can move, connect, and translate. It helps students open their minds and begin to engage with larger questions about humanity, society, and the future, rather than remaining within narrow, discipline-bound ways of responding to questions. It invites them to encounter what they do not yet know, to become more comfortable with uncertainty, and to see unfamiliarity not only as a weakness, but also as a possible beginning.

The deeper value of interdisciplinary education lies in this possibility. It is not about producing students who simply “do everything”. Rather, it supports learners who can connect, translate, communicate, collaborate, and imagine across boundaries. These learners may not always fit easily into traditional categories of expertise, but this is precisely why they matter: in a world where many urgent problems are complex, interconnected, and resistant to single-discipline solutions, the ability to move across boundaries is no longer optional, but necessary.

This is why interdisciplinary education should not be understood as a rejection of depth. Rather, it is a way of helping depth “travel”, cross boundaries, and translate into wider contexts. It allows knowledge to move among people, practices, tools, communities, and futures. It enables students not only to learn what matters, but also to find ways to tell the world why it matters.

Last but not least, I would like to express my heartfelt thanks to David Overend, Jenny Scoles, and everyone involved in organising the Interdisciplinary Learning and Teaching Conference 2026. The conference was deeply thought-provoking and meaningful for me. It reminded me that interdisciplinary education is not only about courses and projects, but also about how we understand the entanglements between learners, knowledge, spaces, society, and the future.


Kunqi Huang is a PhD student at the Moray House School of Education and Sport, University of Edinburgh, based at the Centre for Research in Digital Education within the Edinburgh Futures Institute. Her research mainly focuses on interdisciplinary education in the postdigital context. Kunqi Huang’s research interests include interdisciplinary education, comparative education, postdigital education, and intercultural education.

Terrible Venn Diagram⤴

from

I admit, I asked ChatGPT to help me with today’s TDC. I asked it to give me ideas for “two nonsensical but logical sets” to use for a Venn Diagram and then refined it to ask for one with “funny overlaps”.  I then asked it to draw the result. Here’s what it gave me:

Terrible but funny Venn Diagram
Terrible but funny Venn Diagram flickr photo by NomadWarMachine shared under a Creative Commons (CC BY-NC-SA 4.0) license

Liked: The Slow Death of the Power User — fireborn⤴

from @ wwwd – John's World Wide Wall Display

This is the result of two decades of deliberate, calculated effort by the largest technology companies on earth to turn users into consumers, instruments into appliances, and technical literacy into a niche hobby for weirdos. They succeeded beyond their wildest expectations. Congratulations to everyone involved. You’ve built a generation that can’t extract a zip file without a dedicated app and calls it innovation.

…

The YouTube tutorial is the perfect emblem of this rot. Tutorials are not documentation. A tutorial teaches you to perform a specific sequence of steps to achieve a specific outcome. The steps are usually correct for the specific scenario the tutorial covers. If your scenario differs — if something’s changed, if you get an error the tutorial didn’t anticipate, if you’re using a different version — the tutorial has given you no tools to respond. Documentation teaches you to understand a system: what its components are, how they interact, what the configuration options mean and why they exist, what the error messages indicate. One produces people who can follow instructions. The other produces people who understand what they’re doing. The industry has enthusiastically replaced the latter with the former and called it democratization.

Found via via Digital literacies involve layers of abstraction | Thought Shrapnel

This is a really interesting & powerful post. I didn’t touch a computer till my 30s and missed the whole BBS experience. I didn’t start with basic or the command line, but mac OS 7. The system was small and simple enough to get some sort of handle on things. Simple open ended software, HyperCard & appleScript helped too. My experience with the AOL HyperCard community was very like:

Kids learned by watching, by lurking in forums, by getting their stupid questions answered by people who then expected them to answer someone else’s stupid questions eventually

By the time OSX came along I was not ignorant of or put off by the terminal. I’ve never become expert, but I can use it in a basic fashion.

I also learned, by viewing source, how very basic html works. I know how to set Safari to show the full URL. I think these things are worth learning & teaching.

I was lucky in being exposed to tech in simpler times, there a lot of basics I know nothing about but the ones I do grasp I believe help.

As educators get excited or hot under the collar about the latest AI or design it for you free graphic package I do wonder if we have thrown the baby out with the bath water.

There is a lot more in the posts, it notes problems from the tech giants, algorithms & AI, suggesting learning and anger as possible ways to push back.

Quick go to food⤴

from

For today’s TDC – my quick go to food. A tin of beans (butter beans here, I often use cannellini), an onion, a few cloves of garlic and half a carton of chopped tomatoes. Add smoked paprika and thyme and there it is – can be made in the time it takes to make toast.

337 Beans on Toast
337 Beans on Toast flickr photo by NomadWarMachine shared under a Creative Commons (BY-NC-SA 2.0) license