| elearning |
| elearning |
ALL OF THIS
The amount of solutionizing edtechs and IDs have to do, and the rabbit hole it pushes is one of the main causes of the state of digital learning in HE. The ability to run a basic curriculum and learner analysis & identify learning & need gaps should be mandatory in this job.
๐ฆ๐: https://twitter.com/jamdsf123/status/1620339354702057472
โThe amount of solutionizing edtechs and IDs have to do, and the rabbit hole it pushes is one of the main causes of the state of digital learning in HE. The ability to run a basic curriculum and learner analysis & identify learning & need gaps should be mandatory in this job.โ
Win a copy of my book 'The Psychology of Effective Studying'. To enter, RT by 30th Jan.
https://amazon.co.uk/Psychology-Effective-Studying-Paul-Penn/dp/1138570923
@[email protected] @[email protected] @[email protected]
@[email protected] @[email protected] @[email protected]
@[email protected] @[email protected] @[email protected]
@[email protected] @[email protected] @[email protected]
๐ฆ๐: https://twitter.com/Dr_Paul_Penn/status/1618669125777362945
The world according to the data #AI sees. 50% of datasets are connected to 12 institutions. Analysis of 4384 datasets and 60647 papers.
Read the report: https://arxiv.org/abs/2112.01716
By @[email protected] @[email protected] @[email protected]
๐ฆ๐: https://twitter.com/vdignum/status/1618020533374976005
Benchmark datasets play a central role in the organization of machine learning research. They coordinate researchers around shared research problems and serve as a measure of progress towards shared goals. Despite the foundational role of benchmarking practices in this field, relatively little attention has been paid to the dynamics of benchmark dataset use and reuse, within or across machine learning subcommunities. In this paper, we dig into these dynamics. We study how dataset usage patterns differ across machine learning subcommunities and across time from 2015-2020. We find increasing concentration on fewer and fewer datasets within task communities, significant adoption of datasets from other tasks, and concentration across the field on datasets that have been introduced by researchers situated within a small number of elite institutions. Our results have implications for scientific evaluation, AI ethics, and equity/access within the field.
The Availability and Negativity biases stoke irrational opposition to bike lanes. https://www.wired.com/story/the-battle-over-bike-lanes-needs-a-mindset-shift/#intcid=_wired-right-rail_486e2137-004e-4b5d-90ab-925b920b90ba_popular4-1-reranked-by-vidi
๐ฆ๐: https://twitter.com/sapinker/status/1618266760532361217
Sajid Javid calls for an introduction of a ยฃ20 fee to see GP and a ยฃ66 charge for A&E visits
If the Tories get their way this will be the end of the NHS as we know it
If you'll fight this with us please reply with a ๐.
#OurNHS
๐ฆ๐: https://twitter.com/SocialistNHS/status/1617798039783247872