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2. Digital learning - Wikipedia

   en.wikipedia.org/wiki/Digital_learning

   Digital learning is learning that is supported by technology. [1] It encompasses any type of learning that is accompanied by technology or by instructional practice that makes effective use of technology. It includes a wide array of practices, including blended and virtual learning. A variety of names began to be used to denote education ...

3. Student-centered learning - Wikipedia

   en.wikipedia.org/wiki/Student-centered_learning

   e. Student-centered learning, also known as learner-centered education, broadly encompasses methods of teaching that shift the focus of instruction from the teacher to the student. In original usage, student-centered learning aims to develop learner autonomy and independence [1] by putting responsibility for the learning path in the hands of ...

4. Algorithmic learning theory - Wikipedia

   en.wikipedia.org/wiki/Algorithmic_learning_theory

   Algorithmic learning theory is a mathematical framework for analyzing machine learning problems and algorithms. Synonyms include formal learning theory and algorithmic inductive inference[citation needed]. Algorithmic learning theory is different from statistical learning theory in that it does not make use of statistical assumptions and analysis.

5. Online learning in higher education - Wikipedia

   en.wikipedia.org/wiki/Online_learning_in_higher...

   Online learning involves courses offered by primary institutions that are 100% virtual. Online learning, or virtual classes offered over the internet, is contrasted with traditional courses taken in a brick-and-mortar school building. It is a development in distance education that expanded in the 1990s with the spread of the commercial Internet ...

6. Federated learning - Wikipedia

   en.wikipedia.org/wiki/Federated_learning

   Federated learning (also known as collaborative learning) is a sub-field of machine learning focusing on settings in which multiple entities (often referred to as clients) collaboratively train a model while ensuring that their data remains decentralized. [1] This stands in contrast to machine learning settings in which data is centrally stored.

7. Motor learning - Wikipedia

   en.wikipedia.org/wiki/Motor_learning

   Neuroscience research on motor learning is concerned with which parts of the brain and spinal cord represent movements and motor programs and how the nervous system processes feedback to change the connectivity and synaptic strengths. At the behavioral level, research focuses on the design and effect of the main components driving motor ...