Investigating Arabic to Speakers of Other Languages (ASOL) Lecturers’ Attitudes towards Utilizing Flipped Classroom Instruction (FCI): A Qualitative Study at Jordanian Public Universities
Bibliographic record
Abstract
Although Flipped Classroom Instruction (FCI) is not a new concept, the practice is relatively new in the Arab region, especially, in Jordan, where the face-to face approach is still widely used. This qualitative study examined the attitudes of Arabic language lecturers at three Jordanian public universities towards utilizing FCI in their instruction. With the help of convenience sampling, eight lecturers were selected to participate in the study. To reach a clear understanding of this issue, the study utilized a qualitative design and semi-structured interviews were used as a tool to collect the data. The findings revealed that the attitudes of ASOL lecturers about using FCI in their instruction were generally positive. Through the analysis of the data, three main themes emerged from the interviews. The themes were: 1) increasing interaction and collaborative learning, 2) encouraging learning autonomy and independence, and 3) peer instruction and feedback. A key recommendation of the study is that further research needs to be conducted into the reasons why some teachers had negative attitudes towards FCI.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".