Many of us are about to begin a new semester of online teaching. The learning curve for moving my lecture units last semester was STEEP, so I compiled some sort of hand over notes to people approaching this for the first time. I hope it's useful for someone somewhere.

Reduction in the amount of content was important. What used to be 2 x 1 hr in-person lectures/week had to be condensed down into 6 x 10 minute prerecorded videos (aka aynchronounous content) with 1 x hr live zoom session (synchronous). Even that was too much.
For the sake of yourself and your students, SLASH. Slash your content down. This doesn't mean having to lose important stuff, but keeping it short and sweet.
10 minute video chunks was just about short enough to hold attention. Have you tried watching an online lecture? It is HARD to maintain focus. The shorter the better.
Importantly, each 10 minute video had an explicit Intended Learning Objective given at the end and in the associated text, so that everyone knew what the point was (and how this might relate to assessment later).
This format seemed to be very well received by the students in terms of concision and expectations. They were exposed to a lot of different formats last semester, but this appeared to be one they favoured (maybe they are flattering me though)
For each of my videos (or at least most), I tied in some sort of open question to think about, short to exercise/task/website to attempt to seed discussion during the synchronous session rather than open Q&A silence.
I also gave guidance about maximum time to spend on each task (e.g. “spend no longer than 5 minutes thinking about/researching this”). This generally went well, but depended on the nature of the exercise.
I experimented with different ways of embedding quizzes and feedback but quickly alighted on embedding google forms to your teaching pages.
They are easy to use (point and click), provide instant feedback to students, and allow the instructutor to receive anonymous feedback.
Each 10 minute video was associated with a multiple choice question to gauge understanding, an MCQ question to gauge their confidence, and each lecture had an open form for students to ask questions anonymously or highlight topics for further discussion at the live session.
Further reading/viewing was embedded as usual, but it had to be made EXTRA clear to the students what was extra, and what was core. It is harder to distinguish in online learning format.
Through chatting with students, we found out that many were pausing the videos to transcribe and take notes. This was NOT the intention and certainly takes far too long. I have explicitly advised to NOT do that. Clear state expectations and guidance will help.
Uploading the content consistently one week before the live session helped. This isn't always possible because, you know, the chaos.
I used OBS to record videos (great audio filters and functionality) and Youtube to share, embedded in Blackboard. This helped with the accessibility and auto-captioning. https://t.co/LaNw5eqsdY
For the live (synchronous sessions on zoom) it was important to start with a general chat and some informality. I started with a musical intro and telling them about my week. Helped dispel the horrid horrid virutal default atmosphere. https://t.co/Ay5AmTSVNQ
I would then review the content and learning objective of each video in the most superficial terms, just as a reminder (no more than 2 slides for each 10 minute video). This seemed to go down quite well as a format.
This was followed by reviewing the answers and feedback to the google forms in the asynchronous material.
I used zoom breakout rooms as a forum for students to meet each other and discuss the Qs seeded in the asynchronous material. We would then return to the main group to discuss together, perhaps me calling on representatives for breakout rooms as to what they discussed.
The break out rooms generally worked well and were valued, but they need to be managed carefully (I popped in and out, as did the PhD demonstrator).
Many of students don’t turn on their cameras, even for each other. We worked on this by agreeing that the lecturer would remind everybody to turn their cameras on for each other at least in the break out rooms and generally extolling the virtue and benefit of cameras on.
Some won’t engage no matter what. Therefore bigger breakout rooms are better. After experimenting and using student feedback, we agreed on a minimum of ten people in each room. That means that at least some discussion will take place.
(you can't and shouldn't force cameras on IMO)
It was difficult to get student to ask questions in front of everybody, but when they did, a great dialogue could develop. To facilitate this, we made great use of the zoom chat function. However, this is very difficult to monitor when live presenting.
I tried to limit live sessions to 1 hour, but that is quite tight to fit in all the content and discussion. So toward the end of the semester, we developed a pattern where for the first hour of the live session we would do the essential content and chat, then...
We would stay on the line after that for extended discussions for those that wanted to be there (i.e. no longer taking register). This worked well to serve both those enthusiastic students and the ones that just wanted to get on with their day. Breaks help.
General thoughts - it was super tough, but those students that consistently had their cameras on an engaged in the chat, and showed their appreciation really made a difference and made it all just about bearable. They really made an impression.
https://t.co/3y8XxqlBEI
Good luck to everybody approaching online learning for the first time this semester, both staff and students!

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Our preprint on the impact of reopening schools on reproduction number in England is now available online: https://t.co/CpfUGzAJ2S. With @Jarvis_Stats @amyg225 @kerrylmwong @KevinvZandvoort @sbfnk + John Edmunds. NOT YET PEER REVIEWED. 1/


We used contact survey data collected by CoMix (
https://t.co/ezbCIOgRa1) to quantify differences in contact patterns during November (Schools open) and January (Schools closed) 'Lockdown periods'. NOT YET PEER REVIEWED 2/

We combined this analysis with estimates of susceptibility and infectiousness of children relative to adults from literature. We also inferred relative susceptibility by fitting R estimates from CoMix to EpiForecasts estimates(https://t.co/6lUM2wK0bn). NOT YET PEER REVIEWED 3/


We estimated that reopening all schools would increase R by between 20% to 90% whereas reopening primary or secondary schools alone would increase R by 10% to 40%, depending on the infectiousness/susceptibility profile we used. NOT YET PEER REVIEWED 4/


Assuming a current R of 0.8 (in line with Govt. estimates: https://t.co/ZZhCe79zC4). Reopening all schools would increase R to between 1.0 and 1.5 and reopening either primary or secondary schools would increase R to between 0.9 and 1.2. NOT YET PEER REVIEWED 5/
Time for some thoughts on schools given the revised SickKids document and the fact that ON decided to leave most schools closed. ON is not the only jurisdiction to do so, but important to note that many jurisdictions would not have done so -even with higher incidence rates.


As outlined in the tweet by @NishaOttawa yesterday, the situation is complex, and not a simple right or wrong https://t.co/DO0v3j9wzr. And no one needs to list all the potential risks and downsides of prolonged school closures.


On the other hand: while school closures do not directly protect our most vulnerable in long-term care at all, one cannot deny that any factor potentially increasing community transmission may have an indirect effect on the risk to these institutions, and on healthcare.

The question is: to what extend do schools contribute to transmission, and how to balance this against the risk of prolonged school closures. The leaked data from yesterday shows a mixed picture -schools are neither unicorns (ie COVID free) nor infernos.

Assuming this data is largely correct -while waiting for an official publication of the data, it shows first and foremost the known high case numbers at Thorncliff, while other schools had been doing very well -are safe- reiterating the impact of socioeconomics on the COVID risk.

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I like this heuristic, and have a few which are similar in intent to it:


Hiring efficiency:

How long does it take, measured from initial expression of interest through offer of employment signed, for a typical candidate cold inbounding to the company?

What is the *theoretical minimum* for *any* candidate?

How long does it take, as a developer newly hired at the company:

* To get a fully credentialed machine issued to you
* To get a fully functional development environment on that machine which could push code to production immediately
* To solo ship one material quanta of work

How long does it take, from first idea floated to "It's on the Internet", to create a piece of marketing collateral.

(For bonus points: break down by ambitiousness / form factor.)

How many people have to say yes to do something which is clearly worth doing which costs $5,000 / $15,000 / $250,000 and has never been done before.