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  2. Learning analytics - Wikipedia

    en.wikipedia.org/wiki/Learning_analytics

    Dr. Wolfgang Greller and Dr. Hendrik Drachsler defined learning analytics holistically as a framework. They proposed that it is a generic design framework that can act as a useful guide for setting up analytics services in support of educational practice and learner guidance, in quality assurance, curriculum development, and in improving teacher effectiveness and efficiency.

  3. Analytics in higher education - Wikipedia

    en.wikipedia.org/wiki/Analytics_in_higher_education

    To capture data, academic analytics needs to determine the type of available data, methods of harnessing it and the formats it is in. Report : After the data has been captured and stored in a central location, analysts will examine the data, perform queries , identify patterns, trends and exceptions depicted by the data.

  4. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    The data is necessary as inputs to the analysis, which is specified based upon the requirements of those directing the analytics (or customers, who will use the finished product of the analysis). [ 14 ] [ 15 ] The general type of entity upon which the data will be collected is referred to as an experimental unit (e.g., a person or population of ...

  5. Big Data: A Problem of Breadth, Not Depth? - AOL

    www.aol.com/news/2013-05-29-big-data-a-problem...

    The Motley Fool talks with Qualtrics CEO Ryan Smith, one of Forbes' "Most Promising CEOs Under 35." Ryan's online data collection and analysis platform has enjoyed meteoric growth and success in ...

  6. Cognitive rigor - Wikipedia

    en.wikipedia.org/wiki/Cognitive_rigor

    The idea of interlacing Bloom's Taxonomy and Webb's Depth-of-Knowledge to create a new tool for measuring curricular quality was completed in 2005 by Karin Hess of the National Center for Assessment, producing a 4 X 6 matrix (the Cognitive Rigor Matrix or Hess Matrix) for categorizing the Bloom's Taxonomy and Webb's Depth-of-Knowledge levels ...

  7. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...

  8. Apple Lesson of the Day: Product Depth vs. Breadth - AOL

    www.aol.com/news/2012-01-27-apple-lesson-of-the...

    Try any of our Foolish newsletter services free for 30 days. We Fools may not all hold the same opinions, but we all believe that considering a diverse range of insights makes us better investors ...

  9. Technical analysis - Wikipedia

    en.wikipedia.org/wiki/Technical_analysis

    In finance, technical analysis is an analysis methodology for analysing and forecasting the direction of prices through the study of past market data, primarily price and volume. [1] As a type of active management , it stands in contradiction to much of modern portfolio theory .

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