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

This is exploratory research which employs qualitative interview techniques that arebuilt on the foundation of Dooyeweerd's Aspects (1984), which is facilitated here bythe Multi-Aspectual Knowledge Elicitation (M.A.K.E) model (Winfield 2(00) andled 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 studyinformation technology as they have decided to study a subject for which their timein mandatory state education has provided no foundation of knowledge. Even thoughthis is true, it should be noted that information technology (I.T.) is categorised by theEducation 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 carryingout interviews of mature students studying for an information technology(I.T) information systems (I.S.) degree at a North-West university, and maturestudents studying a health care/nursing, access to university course of which I. T. is amandatory part (in the form of the ECDL qualification - European ComputerDriving licence). The second group were studying at a North-West FurtherEducation college.This research is an exploration of the experiences of these two groups of maturestudents in education. However, the unexpected challenge of how to uncover theirexperiences soon made itself an equal focus of the research. Having found andapplied a format (Dooyeweerd's Suite of Aspects) to guide the collection ofeveryday experience, the research produced a range of information about theexperiences of people who have both specifically decided to study I.T. and thosewho 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.

Level dc:type.qualificationlevel

Doctoral (Level 8)

Year dc:date.issued

2005

Author dc:creator

• Kane, SC

Language dc:language

en

Identifier

oai:salford-repository.worktribe.com:1389626

OAI identifier oai:identifier

oai:salford-repository.worktribe.com:1389626