I am not an instructional designer, but I have been teaching online internationally for over 10 years (2)
A thread about online teaching and learning (T&L).
@wv012 @Passengercis @thebandb @carelstolker @BieTanjade @C4Innovation @rianneletscher @PietVdBossche @wijmenga_cisca @Pduisenberg @QMProgram #highered #edtech #teaching @threadreader unroll (1)
I am not an instructional designer, but I have been teaching online internationally for over 10 years (2)
UMGC has received numerous awards for its innovations: https://t.co/jd7JkHIK8Q and https://t.co/IPKizZwclA (3)
QM offers membership of a community of practice, numerous free resources, online training, and review/accreditation services https://t.co/ZoFVsgcBC7 (4)
Until recently, a lecture room looked the same as 900 years ago incl. flirting and sleeping (5)
Lecturers who already use problem- or project-based teaching are at an advantage (7)
In his own words: https://t.co/7EjYs9qZ2y (8)
Lecturers can revise their conventional courses in workshops led by your friendly instructional designers. https://t.co/JkZfNW2nsV (9)
Adding classroom-replicating technology usually makes matters worse (11)
Your handful of friendly & helpful instructional designers at our universities, who were sufficient in the past, now can not possibly train faculty at scale within a short period of time (12)
Here is a video overview of the QM standard. https://t.co/1i2s0loEuC, and here a detailed guide https://t.co/SQkVHwjBgp (13)
More from Education
Normally I enjoy the high standards of journalism in @guardian . Not today as disappointed with misleading headline that suggest infections are spreading fastest in children. It'll worry parents/teachers & I doubt most readers will unpick the
The latest REACT1 report shows prevalence of infection in ALL age groups has fallen, including children aged 5-12 from 1.59% in Round 8 to 0.86% in Round 9a. The authors of REACT1 report also (wisely) didn't try to interpret the prevalence figures.
If this were a research trial you wouldn't place much weight on the age differences in % prevalence because of the wide confidence intervals, i.e. differences weren't statistically significant.
3/
I've previously tweeted on the challenges (& dangers) of interpreting surveillance data. One would need lots more contextual info to make sense of it & arrive at sound
Undoubtedly some will extrapolate from the prevalence of infection figures in children to other settings i.e. schools based on the headline. I'd advise caution as there is a real risk of over-interpretation through extrapolation of limited data. Association is not causation.
5/
The latest REACT1 report shows prevalence of infection in ALL age groups has fallen, including children aged 5-12 from 1.59% in Round 8 to 0.86% in Round 9a. The authors of REACT1 report also (wisely) didn't try to interpret the prevalence figures.
If this were a research trial you wouldn't place much weight on the age differences in % prevalence because of the wide confidence intervals, i.e. differences weren't statistically significant.
3/
I've previously tweeted on the challenges (& dangers) of interpreting surveillance data. One would need lots more contextual info to make sense of it & arrive at sound
Misinterpretation of surveillance data is a serious issue. Surveillance data needs to come with a warning label - Open to biases - interpret with caution! Some may not realize that surveillance often does not measure all infection, it's a proxy for actual disease incidence.
— Andrew Lee (@andrewleedr) February 14, 2021
1/
Undoubtedly some will extrapolate from the prevalence of infection figures in children to other settings i.e. schools based on the headline. I'd advise caution as there is a real risk of over-interpretation through extrapolation of limited data. Association is not causation.
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.
A group of Ontario experts led by SickKids has updated its guidance for school operation during the COVID-19 pandemic. The living document, COVID-19: Updated Guidance for School Operation During the Pandemic, can be read here: https://t.co/rotLqDqkQh pic.twitter.com/q7kVezAPoG
— SickKids_TheHospital (@SickKidsNews) January 21, 2021
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.
1/It's the eve of provincial announcements on schools reopening for in-person instruction.
— Nisha Thampi (@NishaOttawa) January 20, 2021
Households are under stress and experts are divided on whether schools are unicorns or infernos.
Everyone wants to do right by kids, who have borne so much throughout this pandemic.
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.
