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  2. Higher-order thinking - Wikipedia

    en.wikipedia.org/wiki/Higher-order_thinking

    It is a notion that students must master the lower level skills before they can engage in higher-order thinking. However, the United States National Research Council objected to this line of reasoning, saying that cognitive research challenges that assumption, and that higher-order thinking is important even in elementary school.

  3. Brainware University - Wikipedia

    en.wikipedia.org/wiki/Brainware_University

    Brainware University is a private university located in Barasat, Kolkata, West Bengal, India. It was established on 25 February 2016. It was established on 25 February 2016. Brainware University, [ 2 ] recognized by the University Grants Commission (UGC) [ 3 ] is a state unitary university with the right to confer degrees as per Section 22(1 ...

  4. Brainware - Wikipedia

    en.wikipedia.org/wiki/Brainware

    Brainware was an American software company that marketed Automatic identification and data capture and data extraction products. [1] The company was acquired by Hyland Software in 2017. Brainware originally spun out of Dulles, Virginia -based SER Solutions Inc. in February 2006 when SER was acquired by The Gores Group LLC.

  5. Microlearning - Wikipedia

    en.wikipedia.org/wiki/Microlearning

    Microlearning refers to a set of compact e-learning modules that are designed to reduce learner fatigue. The modules can be educational, professional, or skill-based, and are usually designed to be less than 20 minutes long, with a single learning objective or topic. [1]

  6. File:Brainware-university.jpg - Wikipedia

    en.wikipedia.org/wiki/File:Brainware-university.jpg

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate

  7. File talk:Brainware University.svg - Wikipedia

    en.wikipedia.org/wiki/File_talk:Brainware...

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate

  8. Feature (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Feature_(machine_learning)

    In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a data set. [1] Choosing informative, discriminating, and independent features is crucial to produce effective algorithms for pattern recognition, classification, and regression tasks.

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