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George Bradford

What Google Learned From Its Quest to Build the Perfect Team - The New York Times - 1 views

www.nytimes.com/...to-build-the-perfect-team.html

analytics resources teams google management

shared by George Bradford on 08 Mar 16 - No Cached
  • George Bradford on 08 Mar 16
     
    "What Google Learned From Its Quest to Build the Perfect Team"
George Bradford

Discussions - Learning Analytics | Google Groups - 0 views

groups.google.com/...topics

analytics higher-education google groups SoLAR

shared by George Bradford on 18 May 12 - No Cached
  • George Bradford on 18 May 12
     
    Flare at Purdue in October    Hi everyone. Can someone provide more information for the upcoming SoLAR FLARE event at Purdue in October? Thanks, Kelvin Bentley By Kelvin Bentley  - May 14 - 2 new of 2 messages - Report as spam     EDUCAUSE Survey on Analytics - Looking for International Input    Colleagues, EDUCAUSE is soliciting input on analytics in higher education. They have currently sent email to their current members, but are looking for additional participation from the international community. We would greatly appreciate if you could complete the survey below. -- john... more » By John Campbell - Purdue  - May 11 - 2 new of 2 messages - Report as spam     CFP: #Influence12: Symposium & Workshop on Measuring Influence on Social Media    Hi Everyone, If you are interested in Learning Analytics and Social Media, I invite you to submit a short position paper or poster to the Symposium & Workshop on Measuring Influence on Social Media. The event is set for September 28-29, 2012 in beautiful Halifax, Nova Scotia, Canada. All submissions are due *June 15, 2012*.... more » By Anatoliy Gruzd  - May 11 - 2 new of 2 messages - Report as spam     LA beginnings    Learning Analytics isn't really new, it is just getting more publicity now as a result of the buzz word name change. Institutions have been collecting data about students for a long time, but only a few people dealt with the data. Instructors kept gradebooks and many tracked student progress locally - by hand. What's new about Learning... more »
bcby c

Spring Focus Session Community Ideas - Google Docs - 0 views

docs.google.com/...edit

community eli educause george siemens analytics learning analytics learning

shared by bcby c on 11 Apr 12 - No Cached
  • bcby c on 11 Apr 12
     
    educause learning initiative 2012 online spring focus session: learning analytics Teaching and Learning Community's ideas
George Bradford

50 most stunning examples of data visualization and infographics | Richworks - 0 views

richworks.in/...visualization-and-infographics

infographics data visualization 50 examples analytics visual

shared by George Bradford on 10 Feb 12 - Cached
  • The terms Data visualization and Infographics are used interchangeably, the former means the study of visual representation of data and the latter is its representation per se.
  • 42) Geological Time Spiral
  • 40) Map of online communities
  • ...4 more annotations...
  • 44) Global distribution of water?
  • 43) 1 hour in front of the TV
  • 36) Evolution of Storage
  • 33) The Life of a web article
  • George Bradford on 10 Feb 12
     
    50 MOST STUNNING EXAMPLES OF DATA VISUALIZATION AND INFOGRAPHICS Posted by Richie on Thursday, April 15, 2010 "A picture is worth a thousand words", if I had a penny for every time I heard that!! There is so much data in the world today that it has become impossible for us to analyze them with patience. Data as we perceive it, need not be boring, bland and cumbersome to remember. To make complex things seem simple, is Creativity and using pictures to represent data has been an age old method to analyze data in a fun way. From navigating the web in an entirely new dimension to understanding how the human brain works; from peeking into how Google has evolved to analyzing the inner working of the geeky mind, Infographics has completely changed the way we view content and visualize data.
George Bradford

College Degrees, Designed by the Numbers - Technology - The Chronicle of Higher Education - 0 views

chronicle.com/...132945

analytics learning_analytics data higher education chronicle college degrees designed numbers

shared by George Bradford on 19 Jul 12 - No Cached
  • Arizona State's retention rate rose to 84 percent from 77 percent in recent years, a change that the provost credits largely to eAdvisor.
  • Mr. Lange and his colleagues had found that by the eighth day of class, they could predict, with 70-percent accuracy, whether a student would score a C or better. Mr. Lange built a system, rolled out in 2009, that sent professors frequently updated alerts about how well each student was predicted to do, based on course performance and online behavior.
  • Rio Salado knows from its database that students who hand in late assignments and don't log in frequently often fail or withdraw from a course. So the software is more likely to throw up a red flag for current students with those characteristics.
  • ...5 more annotations...
  • And in a cautionary tale about technical glitches, the college began sharing grade predictions with students last summer, hoping to encourage those lagging behind to step up, but had to shut the alerts down in the spring. Course revisions had skewed the calculations, and some predictions were found to be inaccurate. An internal analysis found no increase in the number of students dropping classes. An improved system is promised for the fall.
  • His software borrows a page from Netflix. It melds each student's transcript with thousands of past students' grades and standardized-test scores to make suggestions. When students log into the online portal, they see 10 "Course Suggestions for You," ranked on a five-star scale. For, say, a health-and-human-performance major, kinesiology might get five stars, as the next class needed for her major. Physics might also top the list, to satisfy a science requirement in the core curriculum.
  • Behind those recommendations is a complex algorithm, but the basics are simple enough. Degree requirements figure in the calculations. So do classes that can be used in many programs, like freshman writing. And the software bumps up courses for which a student might have a talent, by mining their records—grades, high-school grade-point average, ACT scores—and those of others who walked this path before.
  • The software sifts through a database of hundreds of thousands of grades other students have received. It analyzes the historical data to figure out how much weight to assign each piece of the health major's own academic record in forecasting how she will do in a particular course. Success in math is strongly predictive of success in physics, for example. So if her transcript and ACT score indicate a history of doing well in math, physics would probably be recommended over biology, though both satisfy the same core science requirement.
  • Every year, students in Tennessee lose their state scholarships because they fall a hair short of the GPA cutoff, Mr. Denley says, a financial swing that "massively changes their likelihood of graduating."
  • George Bradford on 19 Jul 12
     
    July 18, 2012 College Degrees, Designed by the Numbers By Marc Parry Illustration by Randy Lyhus for The Chronicle Campuses are places of intuition and serendipity: A professor senses confusion on a student's face and repeats his point; a student majors in psychology after a roommate takes a course; two freshmen meet on the quad and eventually become husband and wife. Now imagine hard data substituting for happenstance. As Katye Allisone, a freshman at Arizona State University, hunkers down in a computer lab for an 8:35 a.m. math class, the Web-based course watches her back. Answers, scores, pace, click paths-it hoovers up information, like Google. But rather than personalizing search results, data shape Ms. Allisone's class according to her understanding of the material.
George Bradford

Data Visualization: Modern Approaches - Smashing Magazine | Smashing Magazine - 0 views

www.smashingmagazine.com/...isualization-modern-approaches

visualization data design graphics analytics visual infographics

shared by George Bradford on 10 Feb 12 - Cached
  • 2. Displaying News
  • Digg Stack 15: Digg stories arrange themselves as stack as users digg them. The more diggs a story gets, the larger is the stack.
  • Let’s take a look at the most interesting modern approaches to data visualization as well as related articles, resources and tools.
  • ...6 more annotations...
  • an application that visually reflects the constantly changing landscape of the Google News news aggregator. The size of data blocks is defined by their popularity at the moment.
  • Digg stories arrange themselves as stack as users digg them. The more diggs a story gets, the larger is the stack.
  • a typographic book search, collects the information from Amazon and presents it in the form of keyword you’ve provided.
  • uses visual hills (spikes) to emphasize the density of American population in its map.
  • lets you explore the behavior of your visitors with a heat map. More popular sections, which are clicked more often, are highlighted as “warm” – in red color.
  • Eric Blue provides some references to unusual Data Visualization methods.
  • George Bradford on 10 Feb 12
     
    Data presentation can be beautiful, elegant and descriptive. There is a variety of conventional ways to visualize data - tables, histograms, pie charts and bar graphs are being used every day, in every project and on every possible occasion. However, to convey a message to your readers effectively, sometimes you need more than just a simple pie chart of your results. In fact, there are much better, profound, creative and absolutely fascinating ways to visualize data. Many of them might become ubiquitous in the next few years.
George Bradford

re:Work - Guides - 0 views

rework.withgoogle.com/guides

analytics resources google management teams guides

shared by George Bradford on 08 Mar 16 - No Cached
  • George Bradford on 08 Mar 16
     
    "Guides Practices, research, and ideas to improve your people processes."
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