Semantic Scholar Open Access 2020 108 sitasi

Self-efficacy and english public speaking performance: A mixed method approach

Xue Zhang Yuliya Ardasheva Bruce W. Austin

Abstrak

Abstract English public speaking (EPS) is increasingly gaining prominence and popularity around the world, and this is especially true for university students in China. While self-efficacy is typically strongly correlated with language performance in general (Pajares & Graham, 1999), very little is known about self-efficacy and EPS performance specifically. Grounded in self-efficacy theory (Bandura, 1997) and research on English for academic purposes and English-as-a-foreign-language (EFL) literature, the main purpose of this study is to postulate and test against data a hypothesized model of EPS performance predictors to examine the relationships among student background characteristics, theoretically postulated sources of EPS self-efficacy, and the relationship between EPS self-efficacy and EPS performance. Participants were 82 EFL students enrolled in a university-level EPS course in China. Both quantitative and qualitative methods were employed for data collection and analysis. ANOVA results indicated substantial EPS self-efficacy and speech performance growth throughout the semester. Path analysis results provided evidence regarding hypothesized relationships among variables; qualitative data helped gain more fine-grained understanding of such relationships. These results add knowledge to self-efficacy theory in the EPS domain, provide a foundation for more robust models in other contexts, and affirm the importance of EPS instructional practices.

Topik & Kata Kunci

Penulis (3)

X

Xue Zhang

Y

Yuliya Ardasheva

B

Bruce W. Austin

Format Sitasi

Zhang, X., Ardasheva, Y., Austin, B.W. (2020). Self-efficacy and english public speaking performance: A mixed method approach. https://doi.org/10.1016/j.esp.2020.02.001

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →
Lihat di Sumber doi.org/10.1016/j.esp.2020.02.001
Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Total Sitasi
108×
Sumber Database
Semantic Scholar
DOI
10.1016/j.esp.2020.02.001
Akses
Open Access ✓