Exploring the Impact of Ineffective Formal Communication between Teachers and Students: A Case Study of Mustaqbal University and Jubail University College, Kingdom of Saudi Arabia
Bibliographic record
Abstract
This study investigates the specific barriers to effective communication by teachers and students of the EFL programs of higher education in the Saudi Kingdom. The study utilized a qualitative design to examine perspectives of EFL students and the faculty members of the EFL programs at Al-Mustaqbal and Jubail University College on the effects, causes and viable solutions to ineffective communication between teachers and students. Data collection involved interactive methods which included using open-ended questionnaires and online focus groups respectively. Overall, 39% agreed that poor and ineffective communication is common between teachers and students, and 44% agreed that it was a cause of poor performances for students in EFL programs; while 17% indicated that ineffective communication between teachers and students was to blame for the poor quality of engagement of students with their teachers. The findings qualify the critical significance of considering the implementation of motivating methodologies for improving teacher-student communication.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".