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Chris Stanley

This Algorithm Can Predict Your Success At University ⚙ Co.Labs ⚙ code + comm... - 0 views

www.fastcolabs.com/...ict-your-success-at-university

analytics studentsuccess

shared by Chris Stanley on 24 Oct 13 - No Cached
  • Administrators call it a “student success algorithm,” but it’s official name is Course Signals--and if it works, it could change the way modern universities are run.
  • six-year graduation rates are up 21.48%
  • How do students feel about having their academic careers predicted for them? How would you feel if your next student advisor was an algorithm?
  • ...4 more annotations...
  • the idea is that the more feedback students receive about their current standing, the higher the grade they will ultimately achieve.
  • getting the technology accepted by students came down to two things: understandability and access. To achieve the former, Pistilli decided to adopt the familiar metaphor of traffic-light signals to help contextualize a student’s success as they continue along a particular route.
  • a personalized message is then generated using their name, lecturer, and specific topical references (the latter to stop the message looking too automated) and sent out by email. These messages don’t simply offer students predictions about their likelihood of eventual success (or failure), but also give strategic tactical directions so that students can work to either maintain or improve their overall grades.
  • Oddly enough, students love the system. “Overwhelmingly students tell us that they want Course Signals in every single class,” Pistilli says. “They crave the the feedback.
Chris Stanley

Chart and image gallery: 30+ free tools for data visualization and analysis | Computerw... - 1 views

www.computerworld.com/...isualization-and-analysis.html

visualization data analytics tools

shared by Chris Stanley on 21 Oct 14 - No Cached
  • he chart below originally accompanied our story 22 free tools for data visualization and analysis (April 20, 2011). We're updating it as we cover additional tools, including 8 cool tools for data analysis, visualization and presentation (March 27, 2012) and Six useful JavaScript libraries for maps, charts and other data visualizations (March 6, 2013). Click through to those articles for full tool reviews.
Chris Stanley

Tool for Analyzing Survey Data, Survey Data Analysis Software - DataCracker - 1 views

www.datacracker.com

survey analysis data spss

shared by Chris Stanley on 05 Dec 14 - No Cached
  • mport your data to our survey data analysis software from all major survey programs and file formats. SurveyMonkey SurveyGizmo QuestionPro Qualtrics Survey Analytics Snap Surveys Toluna QuickSurveys Super Simple Survey SPSS (.sav) Triple-S (.xml or .sss) IBM SPSS Data Model (.mdd) Excel (.xls or .xlsx) CSV (.csv)
Chris Stanley

Azure Machine Learning "Hello World" using R - Concurrency, Inc. - 0 views

www.concurrency.com/...e-learning-hello-world-using-r

azure machine learning ml data bi r statistics analytics

shared by Chris Stanley on 28 Aug 14 - No Cached
  • am going to show you a very simple experiement where I will create a very basic “Hello World” program using R script. Yes! This is another advantage of Azure ML studio that you can incorporate your R scripts and create a knowledge management system for your company.
Chris Stanley

Valley heavyweight Vinod Khosla says replacing doctors with data crunchers is good medi... - 0 views

venturebeat.com/...ata-crunchers-is-good-medicine

big data analytics healthcare

shared by Chris Stanley on 27 Aug 14 - No Cached
  • “Humans are not good when 500 variables affect a disease. We can handle three to five to seven, maybe,” he said. “We are guided too much by opinions, not by statistical science.”
Chris Stanley

How to create effective data visualizations - 0 views

www.citeworld.com/...y-that-wont-confuse-users.html

data visualization english big data

shared by Chris Stanley on 28 Aug 14 - No Cached
  • 5. Enough with the text, already
  • 1. Present data that matter to your audience (and not just you)
  • Data scientists by definition are naturally inquisitive and love to quantify things. That makes them a good fit for the job. The bad news is that they sometimes become a little too enthusiastic about data for data’s sake and will overwhelm their audience with irrelevant information.
  • ...5 more annotations...
  • 2. Tell a story, simply
  • 3. Choose appropriate visualizations
  • 4. Make sure graphics accurately reflect the data
  • "Try to pick a visualization that depicts not only the level of a variable, but puts it in context for how important it is,"
  • Heat maps and bubble charts are a good example of this. You can see how important a particular region or customer or division is because it takes up more space on the map. You can show other attributes of the variables with color -- e.g., red for underperforming, green for doing well. With a visual like this, managers can quickly see where the problem is, and at the same time they can see how important it is."
Chris Stanley

Meeting Highlights | Charting the Future - 0 views

chartingthefuturemnscu.wordpress.com/...student-success-team

shared by Chris Stanley on 08 Sep 14 - No Cached
  • Student Success Implementation
  • Technology Initiative:
  • (a) predictive analytics,
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