RT Journal Article
JF 2014 47th Hawaii International Conference on System Sciences
YR 2003
VO 01
SP 32a
TI Supporting Collaborative Learning by Matching Human Actors
A1 Tim Reichling,
A1 Volker Wulf,
A1 Andreas Becks,
K1 null
AB Learning platform focus often on content presentation. Collaborative aspects are mostly dealt with by providing functionality to annotate parts of the content or discuss with other learners about the content. Nowadays learning platforms do not support systematically match making processes among those actors who are able to support their individual learning process mutually. We assume that next generation learning platforms will include functionality to make co-learners aware of each other, match learners with complementary competencies, and allow for the generation of expertise maps. Design principles, a general architecture, and a system providing these functionalities are presented. Future challenges in the field of expertise matching are discussed.
PB IEEE Computer Society, [URL:http://www.computer.org]
LA English
DO 10.1109/HICSS.2003.1173695
LK http://doi.ieeecomputersociety.org/10.1109/HICSS.2003.1173695