Developing a Flipped Learning model for Teaching EAP Students Struggling with Multi-Level Challenges in a College Context
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article aims to understand students’ experiences regarding the implementation of flipped learning (FL) as a modern blended learning technique in teaching English for academic purposes (EAP) in a community college context in Toronto. Based on students’ views, blended learning theories, and several previous studies, the study also aims to develop a holistic contextualized flipped learning model that helps both students and teachers in the context of EAP to cope with the challenges of a multilevel EAP classroom. The study is guided by the epistemology and philosophy of the interpretive paradigm as an underpinning stance. Accordingly, the qualitative approach has been selected for determining the strategy and methods of sampling, and data collection and data analysis. Results revealed that students’ views are compatible with the theoretical views in validating the utilization of flipped learning as a modern technique in the context of EAP. However, results revealed that the development of a holistic model includes a further component-online engagement as an extension component to the model. The study offers a set of recommendations and implications for EAP teachers and instructors within the area of ELT for classroom practice.
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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 | 0.018 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it