Data Crunchers Now the Cool Kids on Campus - WSJ.com - 3 views
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"We see students coming in as freshmen saying they want to be statisticians," said Robert Gould, who is on the statistics faculty at the University of California, Los Angeles. "That was unheard-of before the AP test." In a still-soft jobs market, rising demand for statisticians also has spurred interest in the field. There were 28,305 postings for jobs in statistics, analytics and, in the trendy phrase, "big data" at the jobs website icrunchdata last month, up from 16,500 three years earlier, according to Todd Nevins, a site co-founder.
BigML - Machine Learning Made Easy - 3 views
This Research Paper Explains How to Predict the Next Arab Spring and Cyber Attacks - Bu... - 0 views
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"They start by tracking how many times a specific phrase turns up, using a website that tracks memes daily-sort of an early early warning system. Their algorithm then takes that data and analyzes the connections among social and information networks and the influence members have over one another. Their approach works, Colbaugh says, because it's a blend of social science (the power people have to influence others) and computer science (the power of Big Data)."
Learning From Data - Online Course - 9 views
Living Breathing Data w/ Kim Rees - 0 views
Pushing the MOOC envelope with Learning Analytics - 9 views
Gapminder World Offline - 6 views
What Data Can't Do - NYTimes.com - 7 views
Quick-R: Home Page - 2 views
instaGrok | A new way to learn - 4 views
Multimodal Learning Analytics | Transformative Learning Technologies Lab - 0 views
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Using advanced sensing and artificial intelligence technologies, we are investigating new ways to assess project-based activities, examining students' speech, gestures, sketches, and artifacts in order to better characterize their learning over extended periods of time. Particularly aimed at assessing important skills that are currently hard to assess: creativity, innovation, critical thinking, problem solving, communication, and collaboration. And this is even more challenging in large scale learning environments. Using sensing and data mining technologies could make it possible to capture and analyze massive amounts of process data of classroom activities. https://tltl.stanford.edu/project/multimodal-learning-analytics