Evaluating the Instructional Materials for Peer Assisted Learning Program (PALP)
Bibliographic record
Abstract
ESL classroom implements the use of instructional materials to support instruction in classroom. Instructional material is defined as anything which is deliberately used to increase the learners’ knowledge and/or experience of the language (Tomlinson, 2011). Textbook, video, newspaper can be used as materials in the English instruction. This research aims to evaluate the instructional material for Peer Assisted Learning Program (PALP) based on Mukundan’s categorization in the form of English Language Teaching Textbook Evaluation Checklist (ELT-TEC) (2013) and to find whether the material is useful or not the material for PALP. Peer Assisted Learning Program (PALP) is a peer tutoring program initiated by the English Education Department to encourage the students to speak English fluently and to perform better. The data of this descriptive quantitative research are taken from the instructional material for PALP and these are classified based on the categorization checklist of Mukundan’s English Language Teaching Textbook Evaluation Checklist (ELT-TEC). The total score will be the consideration of the materials’ usefulness. Based on the analysis, it is found that the instructional material for PALP is on the moderate usefulness. This finding can give a significant contribution the PALP itself.
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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 | 0.011 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".