Elementary teachers perceptions of preparedness to teach English Language Learners
Bibliographic record
Abstract
With the steady increase in the English Language Learner (ELL) population in the U.S., this case study was aimed at capturing elementary teachers’ perceptions of how well their teacher preparation program was prepared to teach ELLs. This work utilized the case study design, and included five North American elementary teachers as the subjects of the research who were teaching ELLs in a small Christian Academy located in southern Haiti. All of the teachers were fluent in English, and two of the teachers from Canada were also fluent in French. All of the elementary students spoke Creole. The instruments in the case study included a questionnaire, two interviews, and classroom observations of teaching. The data was coded and triangulated. The results of this study supported existing research, and specifically included a desire for explicit coursework on how to teach reading to ELLs within their teacher preparation program, as well as increased time instructing ELL students in high ELL population schools that utilized inclusive instruction during their student teaching placements. Required second language coursework was also recommended, as the teachers believed it would have enhanced their understanding of the complexity of language acquisition and develop empathy for ELL students. Key words: Teacher education, English Language Learners, teacher perceptions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".