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  2. Advanced Personalized Learning - Wikipedia

    en.wikipedia.org/wiki/Advanced_Personalized_Learning

    In addition, learning activities are meaningful and relevant to learners, driven by their interests, and often self-initiated. [5] Typically technology is used to try to facilitate personalized learning environments. AI is often used as a source to develop personalized learning programs for students.

  3. Adaptive learning - Wikipedia

    en.wikipedia.org/wiki/Adaptive_learning

    Adaptive learning, also known as adaptive teaching, is an educational method which uses computer algorithms as well as artificial intelligence to orchestrate the interaction with the learner and deliver customized resources and learning activities to address the unique needs of each learner. [1]

  4. LinkedIn Learning - Wikipedia

    en.wikipedia.org/wiki/LinkedIn_Learning

    LinkedIn Learning is an American online learning platform. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology, and Certifications.

  5. Artificial general intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_general...

    Weak AI hypothesis: An artificial intelligence system can (only) act like it thinks and has a mind and consciousness. The first one he called "strong" because it makes a stronger statement: it assumes something special has happened to the machine that goes beyond those abilities that we can test.

  6. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...

  7. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  8. Fantasy Football: Players to consider dropping to make room ...

    www.aol.com/sports/fantasy-football-players...

    The following is an excerpt from the latest edition of Yahoo's fantasy football newsletter, Get to the Points! If you like what you see, you can subscribe for free here. Most fantasy advice will ...

  9. Appreciative inquiry - Wikipedia

    en.wikipedia.org/wiki/Appreciative_inquiry

    Appreciative inquiry (AI) is a model that seeks to engage stakeholders in self-determined change.According to Gervase Bushe, professor of leadership and organization development at the Beedie School of Business and a researcher on the topic, "AI revolutionized the field of organization development and was a precursor to the rise of positive organization studies and the strengths based movement ...