Language and content complexities encountered by students in taxation courses / Loo Ern Chen and Ho Juan Keng

Loo, Ern Chen and Ho, Juan Keng (2004) Language and content complexities encountered by students in taxation courses / Loo Ern Chen and Ho Juan Keng. National Accounting Research Journal, 2 (1). pp. 73-88. ISSN 1675-753X

Abstract

Courses in taxation generally cover elements pertaining to the quantitative, legal and expository aspects, all of which rely on the understanding and interpretation of complex tax statutes, which in turn involve both language and content complexities. This study is on students pursuing taxation courses at the tertiary level in Malaysia, where the medium of instruction is in English,
which is neither the students' mother tongue nor their first language. As tax statutes and reference materials on taxation in Malaysia are mainly in English, and taxation courses are taught and assessed in English, a reasonably high level of English language skills is essential to cope with the legal and expository aspects. The study reveals that a majority of the students agreed that they encountered difficulties in terms of language complexity rather than content complexity, particularly in relation to understanding textbooks and examination questions. In terms of content complexity, less than one third agreed that they
encountered difficulties in understanding textbooks and lectures / tutorials.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Loo, Ern Chen
UNSPECIFIED
Ho, Juan Keng
UNSPECIFIED
Subjects: H Social Sciences > HJ Public Finance > Study and teaching. Research

L Education > LB Theory and practice of education > Higher Education > Malaysia
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Accountancy
Journal or Publication Title: National Accounting Research Journal
ISSN: 1675-753X
Volume: 2
Number: 1
Page Range: pp. 73-88
Keywords: Tax Education / Complexities in Taxation
Date: 2004
URI: https://ir.uitm.edu.my/id/eprint/11680
Edit Item
Edit Item

Download

[thumbnail of AJ_LOO ERN CHEN NARJ 04 1.pdf] Text
AJ_LOO ERN CHEN NARJ 04 1.pdf

Download (625kB)

ID Number

11680

Indexing

Statistic

Statistic details