| Literature DB >> 35814139 |
Haneen Abdaljaleel Alrawashdeh1, Naciye Kunt1.
Abstract
This study aimed to investigate the challenges refugee children face in learning the English language from teachers' perspectives and the challenges of refugees' English language teachers in Jordan. To achieve this aim, a quantitative approach was implemented using a questionnaire. The findings from this study suggest that refugee teachers' acknowledge that they face challenges teaching refugees in terms of cultural competency, preparation, self-efficacy, and practices they implement, and refugee children face linguistic and psychological challenges in learning English. This study attempted to find out the relationship between teachers' preparation and their cultural competency, self-efficacy, and practices they implement and then the relationship between refugees' psychological needs and linguistic challenges, respectively, and teachers' self-efficacy, cultural competency, and practices. Results revealed several significant relationships between challenges and presented them in a model.Entities:
Keywords: English as a foreign language; constructivism; linguistic challenges; psychological challenges; refugees
Year: 2022 PMID: 35814139 PMCID: PMC9257178 DOI: 10.3389/fpsyg.2022.918734
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Correlations among 1 vs. with square root of AVEs.
| SN | LC |
| SE | IP | CC | |
| SN |
| |||||
| LC | 0.461 |
| ||||
| P | −0.229 | −0.214 |
| |||
| SE | −0.140 | −0.323 | 0.391 |
| ||
| IP | 0.001 | −0.211 | 0.309 | 0.542 |
| |
| CC | 0.381 | 0.078 | 0.065 | 0.296 |
|
|
SN, students’ need; LC, students’ linguistic challenges; P, teachers’ preparation; SE, teachers’ self-efficacy; IP, implementing practices; CC, teachers’ cultural competency. Square roots of average variances extracted (AVEs) shown on diagonal. The numbers in bold indicate discriminant values.
Q-squared coefficients.
| SN | LC | SE | IP | CC |
| 0.288 | 0.229 | 0.160 | 0.123 | 0.049 |
SN, students’ need; LC, students’ linguistic challenges; SE, teachers’ self-efficacy; IP, implementing practices; CC, teachers’ cultural competency.
Model fit and quality indices.
| Indices | Coefficient | Decision |
| Average path coefficient (APC) | 0.286 | |
| Average R-squared (ARS) | 0.163 | |
| Average block VIF (AVIF) | 1.154 | Acceptable if ≤ 5, ideally ≤ 3.3 |
| Average full collinearity VIF (AFVIF) | 1.476 | Acceptable if ≤ 5, ideally ≤ 3.3 |
| Tenenhaus GOF (GOF) | 0.318 | Small ≥ 0.1, medium ≥ 0.25, large ≥ 0.36 |
| R-squared contribution ration (RSCR) | 1.000 | Acceptable if ≥ 0.9, ideally = 1 |
| Standardized root mean squared residual (SRMR) | 0.070 | Acceptable if ≤ 0.1 |
R-squared coefficient.
| SN | LC | SE | IP | CC |
| 0.275 | 0.219 | 0.158 | 0.120 | 0.045 |
SN, students’ need; LC, students’ linguistic challenges; SE, teachers’ self-efficacy; IP, implementing practices; CC, teachers’ cultural competency.
FIGURE 1Model testing results.
Effect size (f2).
| Interaction |
|
| SE → SN | 0.058 |
| IP → SN | 0.004 |
| CC → SN | 0.213 |
| SE → LC | 0.121 |
| IP → LC | 0.037 |
| CC → LC | 0.061 |
| P → SE | 0.158 |
| P → IP | 0.120 |
| P → CC | 0.045 |
SN, students’ need; LC, students’ linguistic challenges; P, teachers’ preparation; SE, teachers’ self-efficacy; IP, implementing practices; CC, teachers’ cultural competency.
Path coefficients and P values.
| Hypothesis | Interaction | Path coefficient (β) | Decision | |
| H1 | P → SE | 0.397 | < 0.001 | Supported |
| H2 | P → IP | 0.346 | < 0.001 | Supported |
| H3 | P → CC | 0.212 | 0.009 | Supported |
| H4a | SE → SN | −0.298 | < 0.001 | Supported |
| H4b | SE → LC | −0.331 | < 0.001 | Supported |
| H5a | IP → SN | 0.092 | 0.160 | Not supported |
| H5b | IP → LC | −0.137 | 0.047 | Supported |
| H6a | CC → SN | 0.481 | < 0.001 | Supported |
| H6b | CC → LC | 0.276 | 0.001 | Supported |
SN, students’ need; LC, students’ linguistic challenges; P, teachers’ preparation; SE, teachers’ self-efficacy; IP, implementing practices; CC, teacher’ cultural competency. Values with * are significant at 10% level, values with ** are significant at 5% level, and values with *** are significant at 1% level.