Investigating The Academic Literacies Challenges Of International Graduate Students In Master Programmes In An Institution Of Higher Education In Malaysia
This mixed methods research presents the findings of the academic literacies experiences of international graduate students in coursework or mixed mode Master programmes at an institution of higher education in Malaysia. This research investigated the academic literacies demands faced by the i...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://eprints.usm.my/45266/1/Manjet%20Kaur%20AP%20Mehar%20Singh24.pdf http://eprints.usm.my/45266/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | This mixed methods research presents the findings of the academic literacies
experiences of international graduate students in coursework or mixed mode Master
programmes at an institution of higher education in Malaysia. This research investigated
the academic literacies demands faced by the international graduate students, the
academic literacies challenges experienced by them and the steps employed to overcome
the academic literacies challenges to achieve academic success. The conceptual
framework of this research comprises the Academic Literacies Model (Lea & Street,
2000), Discipline Enculturation into Community of Practice (CoP) (Lave & Wenger,
1991) and Adult Learning Theory (Knowles, 1984). Academic Literacies Questionnaire
created based on selected items from Chang’s (2006) and Evans & Green’s (2007)
questionnaire was used to collect the quantitative data from 131 respondents.
Qualitative data collection involved focus group interviews with 70 respondents, email
correspondence, one-to-one interview with 16 lecturers and course objectives, course
requirements and course evaluation documents’ analysis. Quantitative data was analysed
using the Statistical Package for the Social Sciences. The focus group interviews and
one-to-one interviews’ data were transcribed. The transcribed data and email
correspondence data was analysed using the NVivo 10 software. |
---|