Multi-aspectual interview technique (M.A.I.T.)

Kane, SC 2005, Multi-aspectual interview technique (M.A.I.T.) , PhD thesis, University of Salford.

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This is exploratory research which employs qualitative interview techniques that are built on the foundation of Dooyeweerd's Aspects (1984), which is facilitated here by the Multi-Aspectual Knowledge Elicitation (M.A.K.E) model (Winfield 2(00) and led to the design and application of the Multi-Aspectual Interview Technique (M.A.I.T). This study began when the researcher saw an anomaly in mature students who study information technology as they have decided to study a subject for which their time in mandatory state education has provided no foundation of knowledge. Even though this is true, it should be noted that information technology (I.T.) is categorised by the Education and Skills Council as one of the preferred subjects for mature students (Ross 2(02). The information collected for this project was arrived at by carrying out interviews of mature students studying for an information technology (I.T) information systems (I.S.) degree at a North-West university, and mature students studying a health care/nursing, access to university course of which I. T. is a mandatory part (in the form of the ECDL qualification - European Computer Driving licence). The second group were studying at a North-West Further Education college. This research is an exploration of the experiences of these two groups of mature students in education. However, the unexpected challenge of how to uncover their experiences soon made itself an equal focus of the research. Having found and applied a format (Dooyeweerd's Suite of Aspects) to guide the collection of everyday experience, the research produced a range of information about the experiences of people who have both specifically decided to study I.T. and those who have found themselves studying I.T. as a mandatory part of another course. Equally represented here is an assessment of how Dooyeweerd's Suite of Aspects (1984) facilitates qualitative research interviews.

Item Type: Thesis (PhD)
Contributors: Basden, A (Supervisor)
Schools: Schools > Salford Business School
Funders: Engineering and Physical Sciences Research Council (EPSRC)
Depositing User: USIR Admin
Date Deposited: 13 Jul 2017 15:27
Last Modified: 20 Sep 2021 12:47

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