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There is much confusion globally over distinctions between and definitions of distributed learning, distance education, open learning, e-learning, blended learning and other related terms. Many terms are used more commonly in particular geographies. Distinctions can arise when the chosen model focuses on either or both time and geographic ...
The distributional learning theory or learning of probability distribution is a framework in computational learning theory. It has been proposed from Michael Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, Robert Schapire and Linda Sellie in 1994 [1] and it was inspired from the PAC-framework introduced by Leslie Valiant. [2]
ADL uses the term “distributed learning” broadly, to refer to all network-centric learning technologies and their corresponding best practices for their use. Similarly, ADL uses the term “learning” to include education, training, operational performance support, and other forms of ad hoc, just-in-time, or self-directed learning. [10]
The model may not reflect the changes in the market instigated by online technologies. For example, it does not reflect the recent focus on informal learning. [5] The 70:20:10 model is not prescriptive. Author and learning and development professional Andy Jefferson asserts it "is neither a scientific fact nor a recipe for how best to develop ...
Domain adaptation is a specialized area within transfer learning. In domain adaptation, the source and target domains share the same feature space but differ in their data distributions. In contrast, transfer learning encompasses broader scenarios, including cases where the target domain’s feature space differs from that of the source domain ...
Grand strategy – Long-term strategy employed by a nation to further its interests; Dreyfus model of skill acquisition – Model of learning; Dunning–Kruger effect – Cognitive bias about one's own skill; Erikson's stages of psychosocial development – Eight-stage model of psychoanalytic development; Flow – Full immersion in an activity
Distributed Artificial Intelligence (DAI) is an approach to solving complex learning, planning, and decision-making problems.It is embarrassingly parallel, thus able to exploit large scale computation and spatial distribution of computing resources.
Universal Design for Learning (UDL) is an educational framework based on research in the learning theory, including cognitive neuroscience, that guides the development of flexible learning environments and learning spaces that can accommodate individual learning differences. [1] Universal Design for learning is a set of principles that provide ...