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  2. History of virtual learning environments - Wikipedia

    en.wikipedia.org/wiki/History_of_virtual...

    The initial announcement was followed by a call to the sector for Expressions of Interest to participate in the e-learning benchmarking exercise (e-benchmarking). A consultative Town Meeting was also held at the Academy, York in November 2005. (The pilot phase of the e-Learning Benchmarking Exercise commenced in January 2006.)

  3. Learning management system - Wikipedia

    en.wikipedia.org/wiki/Learning_management_system

    A learning management system (LMS) or virtual learning environment (VLE) is a software application for the administration, documentation, tracking, reporting, automation, and delivery of educational courses, training programs, materials or learning and development programs. [1] The learning management system concept emerged directly from e ...

  4. KHTN - Wikipedia

    en.wikipedia.org/wiki/KHTN

    KHTN (104.7 FM) is a radio station broadcasting a Rhythmic Top 40 format. Licensed to Planada, California , United States, the station serves the Merced area. The station is owned by Stephens Media Group , through licensee SMG-Merced, LLC.

  5. Open learning - Wikipedia

    en.wikipedia.org/wiki/Open_learning

    Open learning is an innovative movement in education that emerged in the 1970s and evolved into fields of practice and study. The term refers generally to activities that either enhance learning opportunities within formal education systems or broaden learning opportunities beyond formal education systems. [ 1 ]

  6. Learning - Wikipedia

    en.wikipedia.org/wiki/Learning

    Learning is the process of acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. [1] The ability to learn is possessed by humans, non-human animals, and some machines; there is also evidence for some kind of learning in certain plants. [2]

  7. Meta-learning (computer science) - Wikipedia

    en.wikipedia.org/wiki/Meta-learning_(computer...

    Meta-learning [1] [2] is a subfield of machine learning where automatic learning algorithms are applied to metadata about machine learning experiments. As of 2017, the term had not found a standard interpretation, however the main goal is to use such metadata to understand how automatic learning can become flexible in solving learning problems, hence to improve the performance of existing ...

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