Communities of practice in academia: Testing a quantitative model

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Abstract

Up to now, the relationships among the fundamental notions of communities of practice (CoPs), i.e. knowledge, participation, identity, and artifact development have been based mainly on results from qualitative studies; they are not yet sufficiently based on quantitative evidence. Starting from a literature review, we formulate a quantitative, causal model of CoPs that describes these variables in the context of academic communities, and aim to validate this model in two academic CoPs with a total of N = 208 participants. A cluster analysis classifies the participants into clusters that are in line with the core-periphery structure known from previous qualitative studies. A regression analysis provides evidence for the hypothesized model on the basis of quantitative data. Suggested directions for future research are to focus on factors that determine CoP participants' contributions to artifact development and on approaches to automated monitoring of virtual CoPs.

Introduction

Communities of practice (CoPs) are groups of people sharing goals, activities, and experiences in the context of a given practice (Lave and Wenger, 1991, Wenger, 1999). Participation in CoPs is assumed to lead to the accumulation of experience, stimulation of the social construction of knowledge, and the development of expertise (Bereiter, 2002, Boylan, 2010, Engeström and Sannino, 2010, Fuller et al., 2007, Lave and Wenger, 1991, Paavola et al., 2004, Tobbell et al., 2010, Wenger, 1999). In contrast to the norm for schools, observable teaching (e.g., lecturing) in CoPs is rare. Nevertheless, the basic phenomenon in CoPs appears to be learning, and the potential curriculum is defined by the community practice (Lave & Wenger, 1991, p. 92).

The theory of situated learning is primarily founded on examples that best serve to illustrate the meaning of the notions of community and practice. A prominent example is that of Mayan midwives from Yucatan, who allow younger women to observe their activities when they are attending a laboring mother (Jordan, 1989, Lave and Wenger, 1991). In a further example, teachers, together with pupils and pupils' parents, carry out the daily activities of a Canadian village school and at the same time prevent the school from being closed due to organizational difficulties (Roth & Lee, 2006). Of a similar nature – and of particular relevance for this study – are the numerous communities founded in schools (e.g., Bonsen & Rolff, 2006), universities (e.g., Brown, 2001, Rovai, 2002, Thompson and MacDonald, 2005, Tobbell et al., 2010, Visscher and Witziers, 2004) and research institutions (Kienle & Wessner, 2006). By examining these examples, we observe that CoP literature is based mainly on qualitative research, with few quantitative studies about learning and development in this context (e.g., Kienle and Wessner, 2006, Stewart, 2010, Visscher and Witziers, 2004). In particular, the relationships among the fundamental notions of CoPs are mainly based on qualitative studies and not sufficiently backed up with quantitative evidence. Therefore, the aim of this paper is to propose a quantitative model of CoPs that describes the relationships among the main notions (knowledge and experience, participation, expert status, and cultural artifact development). We begin with an examination of research literature to define the central variables and to integrate them into a causal model. Then we verify this model empirically in the context of academic CoPs.

Section snippets

Expertise in CoPs

Etienne Wenger (1999, p. 4) builds the theory of situated learning starting from the premise that “knowledge is a matter of competence with respect to valued enterprises — such as singing in tune, discovering scientific facts, fixing machines, writing poetry, being convivial, growing up as a boy or a girl, and so forth”. So far, Wenger's view of knowledge corresponds to the generally accepted definition of expertise as advanced and reproducible knowledge and skills in a specific domain. Also,

Deriving a quantitative research model

In summary, the available CoP literature implies a causal model consisting of the variables expertise (including domain knowledge and experience), participation, expert status, and contribution to cultural artifact development. We regard an individual member's expertise with both of its components as an independent variable that influences participation, which in turn mediates the relationship between expertise and expert status in a CoP. Finally, expert status will have an effect on a CoP

Aims of the study and hypotheses

In correspondence with the research model (Fig. 1) and with a view on the particularities of academic CoPs previously discussed, our research aims at validating the hypothesized quantitative causal CoP model, which implies measuring the community variables, classifying the CoP members with respect to the measured CoP variables, and verifying the following hypotheses:

H1

Domain knowledge has a positive influence on participation.

H2

Experience has a positive influence on participation.

H3

Participation has

Setting, population and sample

We conducted a correlation study in two academic CoPs located at universities in Germany and Romania. At German universities, it is usually not possible for academic staff to remain at the same university and move on to professorship positions. Researchers are generally employed for a limited period, usually two to six years, and in this period they have the opportunity to work on a doctoral or professorial dissertation. A professorship can be attained only at another university. Consequently,

Methodology

Similar to Study 1, this study aims at validating the hypothesized quantitative causal CoP model (i.e., measuring the community variables, classifying the CoP members, and verifying the hypotheses of the causal model depicted in Fig. 1).

Discussion

The study at hand provides empirical evidence for a causal CoP model focusing on the individual expert status of a CoP member, and explaining this as being influenced by expertise and participation. Expert status further influences the individual contribution to cultural artifact development. As a preliminary validation, the results of the cluster analysis are in line with the core-periphery structure described unanimously in the CoP literature (Boylan, 2010, Brown, 2001, Fuller et al., 2007,

Acknowledgment

The authors would like to thank Brigitte Jordan for the inspiring correspondence on communities of practice; Karsten Stegmann for his helpful suggestions on the research model; Anna Maria August, Anamaria Dorgo and Monika Schustek for their contributions to data collection; and Jan Oliver Heymann for his contribution to data processing.

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