Исследование Социальных Сетей В Высшем образовании (пер.с Англ. Н. Микшиной)

Abstract

Бьянкани Сьюзан - научный сотрудник Педагогической школы Стэнфордского университета. E-mail: biancani@standford.eduАдрес: School of Education, Stanford Universit y, 485 Lasuen Mall, Stanford, C A94305, USA.Макфарланд Дэниел А. - научный сотрудник Педагогической школы Стэнфордского университета. E-mail: mcfarland@stanford.eduАдрес: School of Education, Stanford Universit y, 485 Lasuen Mall, Stanford, C A94305, USA.В обзоре литературы, посвященной исследованию социальных сетей в высшем образовании, работы представлены как аналитически, так и эмпирически. Обзор организован следующим образом: описательные работы; исследования, в которых сети выступают зависимой переменной; исследования, в которых сети выступают независимой переменной. Рассматриваются закономерности образования дружеских связей между студентами, влияние расовых и этнических различий на формирование социальных связей в студенческой среде, воздействие этих связей на академическую успешность учащихся.

The influence of relationship networks on academic performance in higher education: a comparative study between students of a creative and a non-creative discipline

“…Therefore, we consider that there are two main implications of our work for educational research. On the one hand, our study confirms the possibility of modeling student relationships from the scope of a core/periphery model, as suggested by recent literature (Biancani and McFarland 2013). This model provides an alternative and enriching framework to represent and analyze the structure of relationships in student networks.…”

“…At this point it would be interesting to assess whether, as predicted by recent literature (Biancani and McFarland 2013), a core/periphery configuration emerges out of these student networks. Testing for this means verifying to what extent NCD and CD networks reproduce an ideal core/periphery setting (Borgatti and Everett 1999).…”

“…These provide a tool to explore the structural properties of a network and encompass theories, models, and applications that are expressed in terms of relational concepts or processes (Wasserman and Faust 2007). The application of these techniques in the field of higher education is a relatively recent phenomenon (Biancani and McFarland 2013), although educational research is increasingly drawing on them (Gašević et al 2013). …”

How Do We Know How Students Experience Higher Education? On the Use of Student Surveys

“…Kim and Lalancette 2013). Promising complementary research lies in student social network analyses which depict a complex web of relationships and interactions, both historic and present, both within and outside academic settings, both physical and virtual, that shape individual students' (perception of) learning and experience (Biancani and McFarland 2013).…”

Network Analysis and Indicators

“…While this assumption has its problems, discussing the collaboration networks in detail is beyond the scope of this paper. Recent review articles that focus on coauthorship networks are Mali, Kronegger, Doreian, and Ferligoj (2012) and Biancani and McFarland (2013).…”