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A sequential explanatory methodology for the study of young people's career information literacy and career information behaviours

Milosheva, Marina; Hall, Hazel; Robertson, Peter; Cruickshank, Peter

Authors

Hazel Hall



Abstract

In the information-rich post-pandemic employment environment, young people's career success is predicated on the extent to which they can apply career information to their career decision-making and career development learning processes. Taking heed of the critical importance of career information in career decision-making, the focus of the doctoral work presented in this poster is the identification of means of enhancing young people's career information literacy competencies. To this end, a mixed methods, sequential explanatory research design is employed in the research. The programme of research consists of two phases: a quantitative phase and a qualitative phase. In the quantitative phase, knowledge of the everyday career information behaviours of Scottish adolescents will be generated. In the qualitative phase, the career information literacy practices and current levels of career agency of young people will be explored. Once obtained, research findings can inform the development of a career information literacy framework.

Citation

Milosheva, M., Hall, H., Robertson, P., & Cruickshank, P. (2022). A sequential explanatory methodology for the study of young people's career information literacy and career information behaviours. In iConference 2022 Posters

Conference Name iConference 2022
Conference Location Online
Start Date Feb 28, 2022
End Date Mar 4, 2022
Acceptance Date Jan 17, 2022
Online Publication Date Feb 28, 2022
Publication Date 2022
Deposit Date Feb 7, 2022
Publicly Available Date Feb 8, 2022
Book Title iConference 2022 Posters
Keywords information literacy; information behaviour; career; employability
Public URL http://researchrepository.napier.ac.uk/Output/2843015
Publisher URL https://hdl.handle.net/2142/113760

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Poster Abstract - Sequential Explanatory Methodology IConference2022 (283 Kb)
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