Voices Unheard: Enhancing English-Speaking Skills among Technical Learners at Industrial Training Institute by Implementing Task-Based Language Teaching
Bibliographic record
Abstract
ITIs offer practical training in various technical trades, which enables students to enter the workforce faster than other traditional degrees. However, graduates from ITIs often need better communication skills to advance in their careers, leading to stagnant pay scales. To tackle this issue, a study was conducted to improve English-speaking skills among ITI students by implementing a task-based language teaching approach. A true experimental design was used for this study. The sample consisted of 76 ITI students who were randomly assigned to two groups: control (n=38) and experimental (n=38). Technical learners were given ample opportunities to practice their English-speaking skills and receive instructors feedback. The study showed significant improvement in the student’s ability to communicate professionally. This study suggests that incorporating task-based language teaching into the ITI curriculum can significantly benefit students by enhancing their employment prospects and potential for career growth. Since the allocated tasks replicate the practical training, technical learners perceive them as readily achievable.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".