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Socialization and Cognitive Apprenticeship in Online Doctoral Programs

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Published
Publication date14/05/2018
Host publicationProceedings of the 11th International Conference on Networked Learning 2018
EditorsM. Bajić, N.B. Dohn, M. de Laat, P. Jandrić, T. Ryberg
Pages298-301
Number of pages4
Original languageEnglish
EventEleventh International Conference on Networked Learning 2018 - Zagreb, Croatia
Duration: 14/05/201816/05/2018
https://www.networkedlearningconference.org.uk/

Conference

ConferenceEleventh International Conference on Networked Learning 2018
CountryCroatia
CityZagreb
Period14/05/1816/05/18
Internet address

Conference

ConferenceEleventh International Conference on Networked Learning 2018
CountryCroatia
CityZagreb
Period14/05/1816/05/18
Internet address

Abstract

Online doctoral programs are gaining in popularity, both among students and institutions. However, research to date on the effectiveness and popularity of such programs has looked largely at either quantitative measures of student satisfaction or of administrative effectiveness and design. Further, previous research has also tended to focus on the early part of doctoral study; in specific, the coursework. This qualitative study reports findings from four online doctoral programs in one UK university, contributing to the literature in two important ways. First, we aim to look specifically at current and recently graduated students’ experiences of doing their thesis using a demographic and experiential survey. This will be followed up by in-depth interviews to better understand the kinds of academic experiences and knowledge they both bring to, and receive from their program. Second, we aim to analyse the data through the lens of cognitive apprenticeship to help us better understand the individual trajectories of students in the thesis portion of their programs. By so doing, this research will contribute both theoretically and practically to our understanding of student experience of the thesis process in online doctoral programs. In particular, we conclude that there is a lack of knowledge and frameworks for how to design online/distance post-graduate programmes that best support the cognitive apprenticeship model. We suggest a shift in the research agenda on this issue: Perhaps, the first step towards a more effective direction is to focus less on quantitative measures for success, like enrolment statistics or graduation rate but rather to employ qualitative judgements for the evolution of the post-graduate experience. What might be the guidelines for such qualitative judgments? The answer may lie within the principles of Networked Learning: knowledge is not confined to an individual; rather, it is distributed across individuals within the environment. That is, learning is not an in-the-head phenomenon but a matter of engagement with, participation in, and membership to a community. We argue that it is through this notion of learning that we may develop a more effective framework to reconceptualise the theory and practice of online/distance post-graduate education within the cognitive apprenticeship model of learning.