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  2. 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.

  3. List of learning management systems - Wikipedia

    en.wikipedia.org/wiki/List_of_learning...

    Edmodo (closed in 2022) Elluminate (acquired by Blackboard in 2010) Learn.com (acquired by Taleo in 2010) PeopleSoft (acquired by Oracle in 2005) Plateau Systems (acquired by Successfactors in 2011) Softscape (acquired by SumTotal in 2010) SuccessFactors (acquired by SAP in 2012) SumTotal (acquired by Skillsoft in 2014)

  4. Sakai (software) - Wikipedia

    en.wikipedia.org/wiki/Sakai_(software)

    Website. www .sakailms .org. Sakai is a free, community-driven, open source educational software platform designed to support teaching, research and collaboration. Systems of this type are also known as learning management systems (LMS), course management systems (CMS), or virtual learning environments (VLE).

  5. Instructure - Wikipedia

    en.wikipedia.org/wiki/Instructure

    It is the developer and publisher of Canvas, a web-based learning management system (LMS), and Mastery Connect, an assessment management system. Prior to its IPO in 2021, the company was owned by private-equity firm Thoma Bravo .

  6. Blackboard Learn - Wikipedia

    en.wikipedia.org/wiki/Blackboard_Learn

    Blackboard Learn (previously the Blackboard Learning Management System) is a web-based virtual learning environment and learning management system developed by Blackboard Inc. The software features course management, customizable open architecture , and scalable design that allows integration with student information systems and authentication ...

  7. Least mean squares filter - Wikipedia

    en.wikipedia.org/wiki/Least_mean_squares_filter

    This cost function (()) is the mean square error, and it is minimized by the LMS. This is where the LMS gets its name. Applying steepest descent means to take the partial derivatives with respect to the individual entries of the filter coefficient (weight) vector

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