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  2. Computer-supported collaborative learning - Wikipedia

    en.wikipedia.org/wiki/Computer-supported...

    Computer-supported collaborative learning (CSCL) is a pedagogical approach wherein learning takes place via social interaction using a computer or through the Internet. This kind of learning is characterized by the sharing and construction of knowledge among participants using technology as their primary means of communication or as a common resource. [1]

  3. Competency-based learning - Wikipedia

    en.wikipedia.org/wiki/Competency-based_learning

    Competency-based learning or competency-based education is a framework for teaching and assessment of learning. It is also described as a type of education based on predetermined "competencies," which focuses on outcomes and real-world performance. [1]

  4. Li Yang (educator) - Wikipedia

    en.wikipedia.org/wiki/Li_Yang_(educator)

    Li Yang (simplified Chinese: 李 阳; traditional Chinese: 李陽; pinyin: Lǐ Yáng; born 1969 in Changzhou, Jiangsu) is a Chinese educator and language instructor. He is the creator of Crazy English, an unorthodox method of teaching English. He claimed to have taught English to more than 20 million people in a decade.

  5. Ensemble learning - Wikipedia

    en.wikipedia.org/wiki/Ensemble_learning

    Ensemble learning, including both regression and classification tasks, can be explained using a geometric framework. [15] Within this framework, the output of each individual classifier or regressor for the entire dataset can be viewed as a point in a multi-dimensional space.

  6. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning.The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.

  7. Learning to rank - Wikipedia

    en.wikipedia.org/wiki/Learning_to_rank

    Learning to rank [1] or machine-learned ranking (MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement learning, in the construction of ranking models for information retrieval systems. [2]

  8. Bolo Yeung - Wikipedia

    en.wikipedia.org/wiki/Bolo_Yeung

    Credited as Yang Sze 1979: Bolo (a.k.a. Bolo the Brute) Bolo: Credited as Yang Sze 1978: Enter the Game of Death (a.k.a. Cross Hands Martial Arts or The King of Kung Fu) Yang See 1978: Enter Three Dragons: Bolo 1978: Bruce Li in New Guinea: Unknown 1978: Amsterdam Connection: Louie "Big Louie" Credited as Yang Sze 1978: Black Belt Jones 2 (a.k ...

  9. Deese–Roediger–McDermott paradigm - Wikipedia

    en.wikipedia.org/wiki/Deese–Roediger...

    The Deese–Roediger–McDermott (DRM) paradigm is a procedure in cognitive psychology used to study false memory in humans. The procedure was pioneered by James Deese in 1959, but it was not until Henry L. Roediger III and Kathleen McDermott extended the line of research in 1995 that the paradigm became popular.