Mechanisms and architectures of online learning communities

Reuven Aviv, Zippy Erlich, Gilad Ravid

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

Online communities are described in terms of collections of virtual neighborhoods, each of which is a sub-set of interdependent members. The significant virtual neighborhoods are revealed by fitting parametric Markov Field models (p*) to the response relations of the communities. The underlying theoretical mechanisms are then deduced by matching the revealed virtual neighborhoods with the predictions of network emergence theories. We demonstrate that the underlying mechanisms are related to specific design features of the communities. This method can be extended to other relations in online communities and to longitudinal analysis, and applied to real-time monitoring of online communications.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفProceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2004
المحررون Kinshuk, C.-K. Looi, E. Sutinen, D. Sampson, I. Aedo, L. Uden, E. Kaehkoenen
الصفحات400-404
عدد الصفحات5
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 2004
الحدثProceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2004 - Joensuu, فنلندا
المدة: ٣٠ أغسطس ٢٠٠٤١ سبتمبر ٢٠٠٤

سلسلة المنشورات

الاسمProceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2004

!!Conference

!!ConferenceProceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2004
الدولة/الإقليمفنلندا
المدينةJoensuu
المدة٣٠/٠٨/٠٤١/٠٩/٠٤

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