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.
They are easy to use (point and click), provide instant feedback to students, and allow the instructutor to receive anonymous feedback.
One problem with distance/virtual lectures is those awkward minutes at the start when people are joining the Zoom session slowly, stilted and interupted chat. Why not use the oppertunity to GET HYPE! (sound on) \U0001f4e2\U0001f4e2\U0001f4e2\U0001f389#BlendedLearning \U0001f389\U0001f4e2\U0001f4e2\U0001f4e2 pic.twitter.com/jAU7oNy404
— Rob Sansom (@Sansom_Rob) October 20, 2020
https://t.co/3y8XxqlBEI
Final live session of "How to Grow a Planet" and the students showed their appreciation in visual form. Really touched, thanks guys. Look closely and you can see the tear in @Sansom_Rob's eye @UoM_EES pic.twitter.com/7mZeDtWphv
— GilesNJohnson (@GilesNJohnson1) December 16, 2020
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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.
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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
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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.
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Sorry - a bit of a brain dump post - but I'd appreciate any responses and/or directions towards any applicable research.@Suchmo83 @Mr_AlmondED @TimRasinski1 @ReadingShanahan @mrspennyslater @TheReadingApe @PieCorbett @ReadingRockets @teach_well
— Mr Leyshon (@RyonWLeyshon) February 4, 2021
It is, as you suggest, a nuanced pedagogy with the tripartite algorithm of rate, accuracy and prosody at times conflating the landscape and often leading to an educational shrug of the shoulders, a convenient abdication of responsibility and a return to comprehension 'skills'.
Taking each element separately (but not hierarchically) may be helpful but always remembering that for fluency they occur simultaneously (not dissimilar to sentence structure, text structure and rhetoric in fluent writing).
Rate, or words-read-per-minute, is the easiest. Faster reading speeds are EVIDENCE of fluency development but attempting to 'teach' children(or anyone) to read faster is fallacious (Carver, 1985) and will result in processing deficit which in young readers will be catastrophic.
Reading rate is dependent upon eye-movements and cognitive processing development along with orthographic development (more on this later).
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Duration: 24/10/2018-23 /10/2019
Funding: $71,500
@dgaytandzhieva
https://t.co/680CdD8uug
2. Bat Virus Database
Access to the database is limited only to those scientists participating in our ‘Bats and Coronaviruses’ project
Our intention is to eventually open up this database to the larger scientific community
https://t.co/mPn7b9HM48
3. EcoHealth Alliance & DTRA Asking for Trouble
One Health research project focused on characterizing bat diversity, bat coronavirus diversity and the risk of bat-borne zoonotic disease emergence in the region.
https://t.co/u6aUeWBGEN
4. Phelps, Olival, Epstein, Karesh - EcoHealth/DTRA
5, Methods and Expected Outcomes
(Unexpected Outcome = New Coronavirus Pandemic)