Unlocking Language Education with Emerging Technologies: An Overview of Attitudes and Effectiveness
Bibliographic record
Abstract
Present study sets out to investigate the attitude/opinion of university students regarding application of emerging technologies (iPad) in the context of ESL (English as second language) classrooms in Pakistan. The study was delimited to students of Punjab University (PU, a public sector university) and Beaconhouse National University (BNU, a private sector university), both top rated universities of Lahore and where English language teaching is given preference. The data was collected from 45 students of PU and 35 students of BNU via random sampling techniques. Collected data was organized and prepared for computer analysis with Statistical Package for Social Science (SPSS) version (16.0). Mean and Standard Deviation (SD) were calculated in order to describe opinions while t- test and ANOVA were applied to identify difference in opinion of respondents. Findings illustrated the significance of iPad employment in the face of improving level of learners’ motivation and concentration and rendering them more autonomy, ingenuity, exposure and versatility.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".