Machine learning: Tech is transforming what happens when a child goes
to school https://www.Economist.com/news/briefing/21725285-reformers-are-using-new-software-personalise-learning-technology-transforming-what-happens Personalized instruction @AltSchool
Posts Tagged ‘education’
Technology is transforming what happens when a child goes to school
August 25, 2017Technology is transforming what happens when a child goes to school
August 22, 2017Machine learning: Tech is transforming what happens when a child goes
to school https://www.Economist.com/news/briefing/21725285-reformers-are-using-new-software-personalise-learning-technology-transforming-what-happens Personalized instruction @AltSchool
Learning and earning: Lifelong learning is becoming an economic imperative | The Economist
April 8, 2017Lifelong Learning
http://www.Economist.com/news/special-report/21714169-technological-change-demands-stronger-and-more-continuous-connections-between-education Future for colleges? Microcredentails & Nanodegrees inspired by albums unbundled into iTunes songs
interesting view of where short “workshops” fit relative to the traditional course
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Scott DeRue, the dean of the Ross School of Business at the University of Michigan, says the unbundling of educational content into smaller components reminds him of another industry: music. Songs used to be bundled into albums before being disaggregated by iTunes and streaming services such as Spotify. In Mr DeRue’s analogy, the degree is the album, the course content that is freely available on MOOCs is the free streaming radio service, and a “microcredential” like the nanodegree or the specialisation is paid-for iTunes.
How should universities respond to that kind of disruption? For his answer, Mr DeRue again draws on the lessons of the music industry. Faced with the disruption caused by the internet, it turned to live concerts, which provided a premium experience that cannot be replicated online. The on-campus degree also needs to mark itself out as a premium experience, he says.
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Education in Computational Biology Today and Tomorrow
March 25, 2017Education in #CompBio, by @bffo & @joannealisonfox
http://journals.PLOS.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003391 Keeping up in a rapidly changing field. Will implement some @Yale
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“These initiatives help to extend computational biology beyond the domain of specialized laboratories. Researchers, at all levels, need to keep themselves up-to-date with the quickly changing world of computational biology, and trainees need programs where bioinformatics skills are embedded so they can have comprehensive training. New bioinformatics workflows can be adopted more widely if education efforts keep pace. As previously pointed out , starting early is also very important. There is still room for programs that capture the excitement and enthusiasm of secondary school students and convey the potential of computational biology to the public. We welcome additions to the PLOS Computational Biology “Bioinformatics: Starting Early” collection (www.ploscollections.org/cbstartingearly).
We would like to involve the community in this endeavor. With this editorial, we are calling out to educators and researchers who have experience in teaching, specifically, those keen to raise the expectations and the inquisitiveness of the next generation of biologists. The Education collection will continue to publish leading edge education materials in the form of tutorials that can be used in a “classroom” setting (whatever that may mean nowadays: stated more generically, “the places where people learn”). We will continue to encourage articles set in the context of addressing a particular biological question and, as mentioned above, we welcome new “primers” and “quick guides.” We will also be inviting tutorials from the various computational meetings. A new category of papers that is in the pipeline for the Education collection is the “Quick Tips” format, the first of which was just published . The “Quick Tips” articles address specific tools or databases that are in wide use in the community.
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A gradient of childhood self-control predicts health, wealth, and public safety
January 14, 2017A gradient of childhood #selfcontrol predicts health, wealth & public safety http://www.PNAS.org/content/108/7/2693.full From following 1K kids from 0 to 32 yrs
The great international paper airplane book – Jerry Mander, George Dippel, Howard Luck Gossage – Google Books
November 25, 2016Links related to the ISCB Curriculum Task force
November 19, 2016Here are some links related to the ISCB Curriculum Task Forces:
https://www.iscb.org/curriculum-guidelines-colleges-universities
Useful NIH Funding Data on Bioinformatics Education
September 6, 2015BD2K funded programs so far…
https://datascience.nih.gov/bd2k/funded-programs/enhancing-training/institutional-grants
NIGMS Comp Bio & Bioinfo funded predoctoral programs
http://www.nigms.nih.gov/Training/InstPredoc/Pages/PredocInst-Bioinformatics.aspx
THE NLM funded Biomedical Informatics training programs
https://www.nlm.nih.gov/ep/GrantTrainInstitute.html#5
Rebooting MOOC Research
May 15, 2015Rebooting #MOOC Research https://www.sciencemag.org/content/347/6217/34.summary
Perspective from an #education institution: How to measure engagement of the student?
An hereditary meritocracy
March 2, 2015An hereditary meritocracy http://www.economist.com/news/briefing/21640316-children-rich-and-powerful-are-increasingly-well-suited-earning-wealth-and-power The rich gaming college admissions? Public good in progressive aid stemming from a $1M gift
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The fierce competition between universities to build endowments makes doing such favours for alumni enticing. And there is a public-good argument for it: a student who comes with $1m attached can pay for financial aid for many others. But in practice this is not how the system works. While it is true that some elite universities are rich enough to give out a lot of financial support, people who can pay the full whack are still at the centre of the business model for many. Mitchell Stevens, a Stanford sociologist who spent a year working in the admissions office of an unnamed liberal arts college in the north-east, found that the candidate the system most prized was one who could pay full tuition and was just good enough to make one of the higher-profile sports teams but had a strong enough academic record not to eat into the annual allocation reserved for students whose brains work best when encased in a football helmet.
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