A Study on the Usefulness of Audio-Visual Aids in EFL Classroom: Implications for Effective Instruction
Bibliographic record
Abstract
A resourceful English language teacher equipped with eclecticism is desirable in English as a foreign language classroom. The challenges of classroom instruction increases when prescribed English as a Foreign Language (EFL) course books (textbooks) are constituted with too many interactive language proficiency activities. Most importantly, it has become a common phenomenon to integrate language textbooks with audio and video as additional or supplementary resources for classroom language learning activities. A study was conducted on the usefulness of audio-visual aids in EFL classroom at undergraduate level at Aljouf University, Saudi Arabia. Findings of the study give insights on EFL students’ approach to using technological aids. EFL textbooks with technological aids are often viewed to be an inspiration and to provide motivation in classroom instruction. However, a close examination of classroom teaching aids and resources unveil many issues in EFL teaching and learning contexts. Insights, issues and implications presented in the paper are useful to English language educators, administrators, curriculum designers and English teachers in English as a Foreign Language setting.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".