| Literature DB >> 35898976 |
Abstract
Teachers' work engagement is considered an essential component in instruction. Accordingly, the emphasis should be over physical and mental predictors of this construct. In this line, this study investigates the relationship between Chinese English as a Foreign Language (EFL) teachers' individual self-efficacy, collective efficacy, and work engagement. To this end, 300 Chinese instructors (males = 96, females = 204) from different colleges and universities participated in this study. The questionnaires were distributed among teachers with different educational levels and experiences. Linear multiple regression was used as a measure for data analysis. The findings showed the significant correlations between teachers' work engagement, self-efficacy, and collective efficacy. Comparing the predictability power, teachers' self-efficacy (B = 0.57) proved to have a higher index compared to their index of collective efficacy competence (B = 0.22). This study concluded that self-efficacious teachers and teachers who believe in collective efficacy are more engaged in the EFL contexts. Moreover, the study has some pedagogical implications and suggestions for different teacher educators, administrators, and advisors.Entities:
Keywords: EFL (English as a foreign language); EFL teachers; collective efficacy; self-efficacy; work engagement
Year: 2022 PMID: 35898976 PMCID: PMC9311160 DOI: 10.3389/fpsyg.2022.941943
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Demographic information.
| Years of experience | Number of teachers |
| 1-5 years | 18 |
| 6-10 years | 25 |
| 11-15 years | 37 |
| 16-20 years | 92 |
| 21-25 years | 79 |
| More than 26 years | 49 |
Reliability of the questionnaires.
| Questionnaire | Cronbach’s alpha | No. of Items |
| WE | 0.95 | 17 |
| SE | 0.97 | 24 |
| CE | 0.92 | 7 |
Test of normality for WE, SE, and CE.
| Kolmogorov-Smirnov | Shapiro-Wilk | |||||
| Statistic | Df | Sig. | Statistic | df | Sig. | |
| WE | 0.051 | 300 | 0.058 | 0.972 | 300 | 0.000 |
| SE | 0.049 | 300 | 0.079 | 0.972 | 300 | 0.000 |
| CE | 0.102 | 300 | 0.000 | 0.972 | 300 | 0.000 |
a, Lilliefors Significance Correction.
Correlation among for WE, SE, and CE.
|
| WE | SE | CE | ||
| Spearman’s rho | WE | Correlation Coefficient | 1.000 | 0.732 | 0.602 |
| Sig. (2-tailed) | . | 0.000 | 0.000 | ||
| N | 300 | 300 | 300 | ||
| SE | Correlation Coefficient | 0.732 | 1.000 | 0.705 | |
| Sig. (2-tailed) | 0.000 | . | 0.000 | ||
| N | 300 | 300 | 300 | ||
| CE | Correlation Coefficient | 0.602 | 0.705 | 1.000 | |
| Sig. (2-tailed) | 0.000 | 0.000 | . | ||
| N | 300 | 300 | 300 | ||
**, Correlation is significant at the 0.01 level (2-tailed).
Descriptive statistics for WE, SE, and CE.
| Variables | M | SD | N |
| WE | 90.25 | 17.004 | 300 |
| SE | 112.28 | 16.08 | 300 |
| CE | 26.19 | 5.07 | 300 |
Model summary for WE, SE, and CE.
| Model | R | R Square | Adjusted R Square | Std. Error of the Estimate |
| 1 | 0.743 | 0.552 | 0.54 | 11.42 |
ANOVA for WE, SE, and CE.
| Model | Sum of Squares | df | Mean Square | F | Sig. | |
| 1 | Regression | 47718.70 | 2 | 23859.35 | 182.91 | 0.000 |
| Residual | 38741.54 | 297 | 130.44 | |||
| Total | 86460.25 | 299 | ||||
Coefficients for WE, SE, and CE.
| Model | Unstandardized Coefficients | Standardized Coefficients | Sig. | |||
| B | Std. Error | Beta | T | |||
| 1 | (Constant) | 2.94 | 4.66 | 0.63 | 0.529 | |
| SE | 0.603 | 0.05 | 0.57 | 10.57 | 0.000 | |
| CE | 0.747 | 0.18 | 0.22 | 4.13 | 0.000 | |