By Mikko Ruohonen, Markku Turunen, Gururaj Mahajan, Juhani Linna, Vivek Kumar, Himadri Das (auth.), Tobias Ley, Mikko Ruohonen, Mart Laanpere, Arthur Tatnall (eds.)
ISBN-10: 3642372848
ISBN-13: 9783642372841
ISBN-10: 3642372856
ISBN-13: 9783642372858
This quantity constitutes the refereed post-proceedings of the IFIP WG 3.4 foreign convention on Open and Social applied sciences for Networked studying, OST 2012, held in Tallinn, Estonia, in July/August 2012. The sixteen complete papers awarded including three brief papers and five doctoral pupil papers have been completely reviewed and chosen from various submissions. The papers hide quite a lot of themes akin to cellular studying, social networks, analytics and suggestions, office studying, studying analytics in better schooling, collaborative studying in greater schooling, and dealing with open and social education.
Read Online or Download Open and Social Technologies for Networked Learning: IFIP WG 3.4 International Conference, OST 2012, Tallinn, Estonia, July 30 – August 3, 2012, Revised Selected Papers PDF
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Extra info for Open and Social Technologies for Networked Learning: IFIP WG 3.4 International Conference, OST 2012, Tallinn, Estonia, July 30 – August 3, 2012, Revised Selected Papers
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Lorenz and K. Kikkas References 1. edu/ELI/2009HorizonReport/163616 2. : Work based mobile learning environments: contributing to a socio-cultural ecology of mobile learning. In: Pachler, N. ) Mobile Learning in the Context of Transformation (2010); In Special Issue of International Journal of Mobile and Blended Learning 3. : Proposed Theoretical Model for M-Learning Adoption in Developing Countries. In: Proceedings mLearn Education, pp. 17–22 (2005) 4. : SmartSiren: Virus Detection and Alert for Smartphones.
E. run school collaboration projects) and the ones who do not: do these two groups use Social networking tools in the same way? Figure 2 shows the usage of four different Social networking tools available for eTwinners (Contact, Profile picture, Journal Wall posts and Teachers’ rooms) divided by the two groups. As a general trend, eTwinners using social networking tools are more involved in projects (average 64%) than the ones not engaged in projects (36%). This indicates that between these two groups, there are different ways in which they engage using the available Social networking tools.
G. ) constitute the concept that comes into mind. g. a prototypical bird). MINERVA2 provides a formalization of this reconstructive process. Memory traces as well as stimuli are formalized as vectors where feature values (-1, 1) encode the existence/nonexistence of features. Thus, the semantic memory is represented as a matrix (a set of row vectors). 4), which multiplies the matrix by a stimulusvector, yields a content-vector displaying the prototype. We draw on the MINERVA2 notations to represent a user’s tag assignments (TAS for short) in form of vectors, whose feature values encode the assignment/nonassignment of a tag to a particular resource, and on the MINERVA2 algorithm to extract the user’s prototypical tag combinations.
Open and Social Technologies for Networked Learning: IFIP WG 3.4 International Conference, OST 2012, Tallinn, Estonia, July 30 – August 3, 2012, Revised Selected Papers by Mikko Ruohonen, Markku Turunen, Gururaj Mahajan, Juhani Linna, Vivek Kumar, Himadri Das (auth.), Tobias Ley, Mikko Ruohonen, Mart Laanpere, Arthur Tatnall (eds.)
by Kenneth
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