منابع مشابه
Robust statistical learning from ‘ Big Network Data
The overarching theme of my research is on algorithms, analysis, and application of statistical signal processing tools to dynamic network health monitoring, social, power grid, and Big Network Data analytics. Experience, background, and current research include robust, distributed, and sparsity-aware learning from high-dimensional network data; which finds exciting applications in understandin...
متن کاملThe Knowledge-Learning-Instruction Framework: Bridging the Science-Practice Chasm to Enhance Robust Student Learning
Despite the accumulation of substantial cognitive science research relevant to education, there remains confusion and controversy in the application of research to educational practice. In support of a more systematic approach, we describe the Knowledge-Learning-Instruction (KLI) framework. KLI promotes the emergence of instructional principles of high potential for generality, while explicitly...
متن کاملThe Knowledge-Learning-Instruction (KLI) Framework: Bridging the Science-Practice Chasm to Enhance Robust Student Learning
December 6, 2011. Word count: 19,185 Kenneth R. Koedinger, Human-Computer Interaction Institute and Department of Psychology; Albert T. Corbett, Human-Computer Interaction Institute; Charles Perfetti, Learning Research & Development Center and Department of Psychology Thanks to the National Science Foundation (award SBE-0836012) for supporting the Pittsburgh Science of Learning Center and to pa...
متن کاملStudent Learning
School libraries can exist in two spaces, a physical space or a virtual space. The author argues that students need a virtual library as well as a physical library because of the different learning opportunities that can be supported by virtual libraries. If a virtual library is carefully planned and designed, it can provide a rich learning environment. Although some authors nay distinguish bet...
متن کاملStudent Learning
Building on earlier work the present study examines the empirical association between contrasting forms of "memorising", as suggested in the phenomenographic literature (but operationalised here in a form amenable to statistical modelling), and also between such forms of "memorising" and other established explanatory sources of variation in student learning. The aim of this work is directed tow...
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ژورنال
عنوان ژورنال: IEEE Transactions on Neural Networks and Learning Systems
سال: 2019
ISSN: 2162-237X,2162-2388
DOI: 10.1109/tnnls.2019.2929114