Social network analysis and mining to support the assessment of on-line student participation

2012 ◽  
Vol 13 (2) ◽  
pp. 20-29 ◽  
Author(s):  
Reihaneh Rabbany k. ◽  
Mansoureh Takaffoli ◽  
Osmar R. Zaïane
2020 ◽  
pp. 204275302095497
Author(s):  
Jiaming Cheng ◽  
Jing Lei

Student-student interaction can benefit learning as well as provide a sense of community in online courses. Blogging is a common approach to provide opportunities for students to communicate with each other. This study used Social Network Analysis to depict commenting behaviour between students in an online graduate-level course. By examining the weekly interaction data, the results revealed how students’ commenting behaviours changed during the semester. Student participation and interaction in the blogging activity was influenced by the various pedagogical elements that were either directly or indirectly related to the blogging activity.


Author(s):  
Robert Ralló ◽  
Mercè Gisbert

En este artículo se presenta una metodología  para el análisis y caracterización de comunidades online a partir de los mensajes intercambiados en una lista de discusión. Mediante técnicas de análisis basadas en redes sociales se detecta la estructura, relaciones y el papel que juegan los diferentes miembros de la comunidad. La metodología propuesta se evalúa usando los mensajes procesados por la lista de discusión EDUTEC-L durante el periodo 1998-2004.AbstractThe current work introduces a methodology for the analysis and characterization of on-line communities through the messages exchanged in a discussion list. The structure, relationships and user roles in the community are inferred using social network analysis techniques. The proposed methodology is assessed using the messages processed by the EDUTEC-L discussion list during the period 1998-2004.


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