In the last 20 years, various investigators have contributed valuable insights that shed light on the interconnected matrix of self-efficacy and attribution theories of motivation in instilling confidence and desire for academic achievement. However, these two areas of beliefs and their effects on students‟ achievement have rarely been researched together with writing performance here in Ethiopia.
Both quantitative and qualitative methodologies have been integrated in the analysis of the data gathered from two secondary schools. The quantitative method was employed where participants were involved in taking composition test, filling out the self-efficacy scale and a questionnaire on attribution so as to investigate the relationships among the variables. The qualitative method was also used to examine the teachers‟ role in boosting students‟ motivation towards effecting goal-oriented striving at success in English writing performance
The findings of this study indicated that there is a positive and strong relationship between
writing self-efficacy beliefs and awareness and effective performance in writing tasks. It was also found that the learners who attributed their success to their ability and effort rather than to external causes achieved better results. Moreover, the findings of the qualitative data indicated that teachers‟ interest and motivation to teach writing can play a crucial role so as to raise the learners‟ feelings of self-worth and self-efficacy to do the writing activity. In other words, teachers need to capitalise on their learners‟ fervent desire for success and achievement in whatever line of endeavour, and the vital role effective writing skills play in the realisation of life goals. / English Studies / M.A. (Specialisation in TESOL)
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/20191 |
Date | January 2016 |
Creators | Yayie, Wondwossen Demissie |
Contributors | Ndlangamandla, Sibusiso (Cliff) |
Source Sets | South African National ETD Portal |
Language | English |
Detected Language | English |
Type | Dissertation |
Format | 1 online resource (109 leaves) |
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