作者: Daniel Rodríguez , Miguel Ángel Sicilia , Salvador Sánchez-Alonso , Leonardo Lezcano , Elena García-Barriocanal
DOI: 10.1080/10494820903148610
关键词: Social network analysis 、 Filter (signal processing) 、 Affiliation network 、 Cohesion (computer science) 、 E-learning (theory) 、 Collaborative filtering 、 World Wide Web 、 Computer science 、 Human–computer interaction 、 Mechanism (biology) 、 Structure (mathematical logic)
摘要: The online interaction of learners and tutors in activities with concrete objectives provides a valuable source data that can be analyzed for different purposes. One these purposes is the use information extracted from to aid decision making about either configuration further learning or filtering resources. This article explores an affiliation network model such kind Concretely, techniques as blockmodeling – a technique used derive meaningful patterns relationships network – and analysis m-slices – a helpful study cohesion relationships – are explored tools decide on topics and/or learner groups. In particular, results case show (i) filter participants rearranging groups; (ii) rearrange interest; (iii) dynamically change structure cour...