Posts Tagged ‘education’

Technology is transforming what happens when a child goes to school

August 25, 2017

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

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Technology is transforming what happens when a child goes to school

August 22, 2017

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

Learning and earning: Lifelong learning is becoming an economic imperative | The Economist

April 8, 2017

Lifelong 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

QT:{{”
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, 2017

Education 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

QT:{{”
“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, 2017

A 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, 2016

https://books.google.com/books/about/The_Great_International_Paper_Airplane_B.html

Links related to the ISCB Curriculum Task force

November 19, 2016

Here are some links related to the ISCB Curriculum Task Forces:

http://connect.iscb.org/communities/communities/community-home?CommunityKey=f7986992-1c0c-4a52-bd1d-74a2386c4962

https://www.iscb.org/curriculum-guidelines-colleges-universities

http://connect.iscb.org/communities/community-home/digestviewer/viewthread?GroupId=79&MID=30&tab=digestviewer&CommunityKey=e0568cb2-e72e-4bfc-bb66-7d1f2265d846

Useful NIH Funding Data on Bioinformatics Education

September 6, 2015

BD2K 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, 2015

Rebooting #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, 2015

An 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

QT:{{"
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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