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Knowledge matchmaking in Learning Networks: Alleviating the tutor load by mutually connecting Learning Network users
Author(s) -
Rosmalen Peter van,
Sloep Peter,
Brouns Francis,
Kester Liesbeth,
Koné Malik,
Koper Rob
Publication year - 2006
Publication title -
british journal of educational technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.79
H-Index - 95
eISSN - 1467-8535
pISSN - 0007-1013
DOI - 10.1111/j.1467-8535.2006.00673.x
Subject(s) - computer science , context (archaeology) , situated , process (computing) , tutor , situated learning , collaborative learning , domain (mathematical analysis) , knowledge management , human–computer interaction , mathematics education , artificial intelligence , psychology , paleontology , mathematical analysis , mathematics , biology , programming language , operating system
Tutors have only limited time to support the learning process. In this paper, we introduced a model that helps answer the questions of students. The model invoked the knowledge and skills of fellow students, who jointly formed an ad hoc, transient community. The paper situated the model within the context of a Learning Network, a self‐organised, distributed system, designed to facilitate lifelong learning in a particular knowledge domain. We discussed the design of the model and explained how we selected and supported capable peers. Finally, we examined the calibration of the model and a simulation, which was intended to verify if the model is fit for use in experiments with students. The results indicate that, indeed, it is possible to identify and support capable peers efficiently and effectively.