Platform for sharing and evaluation of intelligent algorithms. Data mining data, experiments, datasets, performance analysis, data repository, challenges. Research and applications, prediction. Data mining and machine learning
development of self-healing systems capable of making inferences about their own behavior, such as diagnosing faults and performance degradations. uses a cost-efficient technique for adaptive diagnosis that combines probabilistic inference with online, active selection of the most-informative measurements called probes. Probes are end-to-end test transactions that collect information about the availability and performance of a distributed system. Given the probe results (symptoms), RAIL performs Bayesian inference in order to find the most likely explanation (cause), An important difference between RAIL's approach and ''passive'' data analysis is in RAIL's ability to select and execute probes online. This approach, called active probing, uses an information-theoretic criterion called information gain in order to select adaptively only a small set of the most informative probes at any given time; this approach significantly reduces the overall number of probes required
Summary: Social Development Theory argues that social interaction precedes development; consciousness and cognition are the end product of socialization and social behavior. Originator: Lev Vygotsky (1896-1934). Key terms: Zone of Proximal Development (ZPD), More Knowledgeable Other (MKO) Vygotsky’s Social Development Theory Vygotsky’s Social Development Theory is the work of Russian psychologist Lev Vygotsky (1896-1934), who lived during Russian Revolution. Vygotsky’s work was largely unkown to the West until it was published in 1962. Vygotsky’s theory is one of the foundations of constructivism. It asserts three major themes: Major themes:
Looking at how teaching and learning needs to become more advance in terms of technology. We need to be addressing and creating our lessons using the technology that is readily available to us and that our students are using on a regular basis.
Working in partnership with students is a sophisticated and effective way of developing student engagement and enhancing learning and teaching. Partnership with students is a central theme of the HEA’s work and cuts across our other key areas of assessment, employability, flexible pedagogies and retention and success. That's why we provide a range of tools and guidance to support student partnership development.
The aim of this article is to discuss some of the challenges and possibilities that librarians may face when engaging in faculty-library collaboration. The main objective is to present findings from two case studies of embedded librarianship at Gjøvik University College (GUC) and to compare these findings with results from a literature review. The literature review is concentrated around collaboration challenges, a possible role-expansion for librarians, team-teaching and assessment of information skills courses. Another objective is to present two pedagogical approaches that are in use at GUC; the tutor approach and the team-teaching approach. Findings from the case studies suggest that faculty staff were impressed with the librarian’s knowledge and they quickly became comfortable with team-teaching and/or leaving the librarian in charge of the students. However there were concerns from both the teacher and librarian about the time-consuming nature of collaborative work. This paper contributes to the literature through a literature review, two case studies and teaching approaches that highlight factors leading to success when collaborating with faculty.
Article investigating roles played by young siblings close in age in each others’ literacy development arguing for a unique reciprocity in learning between older and younger child.
Fun site with links to articles on many learning theories including Piaget, Constructivism, Behavioralism, Brain Based Learning, Social Cognition, Emotional Inteligence, Social Learning Theory, and more.
B-2, Reading_2, Unit 1, Vygotsky, L.S. (1994 [1978]) ‘Interaction between learning and development’ in Stierer, B. and Maybin, J., (eds) Language, Literacy and Learning in Educational Practice, Clevedon, Multilingual Matters Limited.
This list is intended to introduce some of the tools of Bayesian statistics and machine learning that can be useful to computational research in cognitive science.
This list is intended to introduce some of the tools of Bayesian statistics and machine learning that can be useful to computational research in cognitive science.
This list is intended to introduce some of the tools of Bayesian statistics and machine learning that can be useful to computational research in cognitive science.
J. Najjar, S. Ternier, and E. Duval. Proceedings of the ED-MEDIA 2004 World Conference on Educational Multimedia, Hypermedia and Telecommunications, (June 2004)