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Jonathan Becker

Opportunities and Predictions, 2014 A.D. - 3 views

mfeldstein.com/ortunities-predictions-2014-ad

vcu_ooe highered online learning predictions opportunities caulfield

shared by Jonathan Becker on 09 Jan 14 - No Cached
  • Jonathan Becker on 09 Jan 14
     
    FWIW, I think Mike Caulfield is one of the brightest and most thoughtful people in higher ed. I like this post very much.
Tom Woodward

The No. 1 Predictor Of Career Success According To Network Science - Life Learning - Me... - 1 views

medium.com/...s-according-to-network-science

weekly networked network connected open thoughtvectors

shared by Tom Woodward on 13 Aug 15 - No Cached
  • Tom Woodward on 13 Aug 15
     
    "The bottom line? According to multiple, peer-reviewed studies, simply being in an open network instead of a closed one is the best predictor of career success. In the chart, the further to the right you go toward a closed network, the more you repeatedly hear the same ideas, which reaffirm what you already believe. The further left you go toward an open network, the more you're exposed to new ideas. People to the left are significantly more successful than those to the right. In fact, the study shows that half of the predicted difference in career success (i.e., promotion, compensation, industry recognition) is due to this one variable."
sanamuah

Are Colleges Invading Their Students' Privacy? - The Atlantic - 1 views

www.theatlantic.com/...389643

shared by sanamuah on 06 Apr 15 - No Cached
  • sanamuah on 06 Apr 15
     
    "as technology advances, and students' offline and online lives become more intertwined, data analytics-particularly, predictive analytics-may raise more ethical questions."
Tom Woodward

These Misconceptions Are Keeping School in the 1960's | ThinkThankThunk - 3 views

shawncornally.com/wordpress

learning education student weekly

shared by Tom Woodward on 05 Feb 16 - No Cached
  • Tom Woodward on 05 Feb 16
     
    "The most important thing about BIG is that we know we're wrong. We don't know what a student should know. We can't predict the future. When working with a group, we allow the needs of the group to dictate the instruction and curated content we provide in response to the need. This has two effects: I like my job and am happier, and the students are never hidden from the planning of learning. "
Jonathan Becker

Machine Bias: There's Software Used Across the Country to Predict Future Criminals. And... - 0 views

www.propublica.org/...ssments-in-criminal-sentencing

software algorithms machine propublica analytics bias

shared by Jonathan Becker on 23 May 16 - No Cached
  • Jonathan Becker on 23 May 16
     
    What are the implications for universities committing to learning analytics?
Tom Woodward

Twitter Calendar - 0 views

ec2-54-170-89-29.eu-west-1.compute.amazonaws.com:8000

twitter machine weekly predictive calendar

shared by Tom Woodward on 12 Oct 15 - No Cached
  • Tom Woodward on 12 Oct 15
     
    "Users of Social Networking sites frequently discuss events which will occur in the near future. By annotating Named Entities and resolving temporal expressions (for example "next Friday"), we are able to automatically extract a calendar of popular events occurring in the near future from Twitter. "
Yin Wah Kreher

Can Students Have Too Much Tech? - NYTimes.com - 3 views

www.nytimes.com/...udents-have-too-much-tech.html

technology_integration VCU Readings

shared by Yin Wah Kreher on 02 Feb 15 - No Cached
  • “Students who gain access to a home computer between the 5th and 8th grades tend to witness a persistent decline in reading and math scores,” the economists wrote, adding that license to surf the Internet was also linked to lower grades in younger children.In fact, the students’ academic scores dropped and remained depressed for as long as the researchers kept tabs on them. What’s worse, the weaker students (boys, African-Americans) were more adversely affected than the rest. When their computers arrived, their reading scores fell off a cliff.
  • We don’t know why this is, but we can speculate. With no adults to supervise them, many kids used their networked devices not for schoolwork, but to play games, troll social media and download entertainment. (And why not? Given their druthers, most adults would do the same.)
  • Babies born to low-income parents spend at least 40 percent of their waking hours in front of a screen — more than twice the time spent by middle-class babies. They also get far less cuddling and bantering over family meals than do more privileged children. The give-and-take of these interactions is what predicts robust vocabularies and school success. Apps and videos don’t.
  • ...4 more annotations...
  • One Laptop Per Child
  • But the program didn’t live up to the ballyhoo.
  • it is worth the investment only when it’s perfectly suited to the task, in science simulations, for example, or to teach students with learning disabilities.
  • technology can work only when it is deployed as a tool by a terrific, highly trained teacher.
  • Yin Wah Kreher on 02 Feb 15
     
    link to ECAR findings
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