dc.contributor.advisor | Dreyer, C. | |
dc.contributor.author | Cekiso, Mzwamadoda Phillip | |
dc.date.accessioned | 2016-06-21T08:35:20Z | |
dc.date.available | 2016-06-21T08:35:20Z | |
dc.date.issued | 1999 | |
dc.identifier.uri | http://hdl.handle.net/10394/17806 | |
dc.description | Thesis (M.A.)--Potchefstroom University for Christian Higher Education, 2000. | en_US |
dc.description.abstract | Understanding the ways in which students learn is important to good
teaching. However, students' learning styles are rarely, if ever, considered
in a systematic fashion in the English language classroom. The purpose of
this research is to determine the learning style profile of college of
education (Kokstad Region) students and also to compare their learning
style profile with their performance on selected ESL tasks. The results
indicated that the ESL college learners in the Eastern Cape (Kokstad
Region) displayed a variety of learning styles along a continuum.
The results also indicated that students performed differently on a variety
of ESL tasks. This manifested itself in the good performance students have
on some exercises and poor performances on other exercises. This
indicated that students performed well if the task at hand favoured their
learning styles. In most cases the relationships were statistically as well as
practically significant.
It is, therefore, essential that the ESL/EFL lecturer organises a variety of
activities in order to cater for the diversity of learning styles employed by
his/her students. It is also recommended that lecturers should help their
students identify their preferred learning styles and stretch those styles by
examining and practising various learning styles. | en_US |
dc.language.iso | en | en_US |
dc.subject | Learning styles | en_US |
dc.subject | English Second Language | en_US |
dc.subject | ESL tasks | en_US |
dc.subject | Performance | en_US |
dc.title | The relationship between student learning styles and performance on ESL tasks | en_US |
dc.type | Thesis | en_US |
dc.description.thesistype | Masters | en_US |