Evaluation of Going Global in the “Theoretical Framework for Evaluating POA-Based Teaching Materials”
Bibliographic record
Abstract
Oriented by the theoretical framework for evaluating POA-based materials, this paper aims to evaluate Going Global from three dimensions: appropriate productive objectives, effective enabling activities and successful attainment of productive objectives by collecting interview data of six teachers, questionnaire of students and students’ works. The results show that Going Global embodies the concept of POA textbook evaluation. It has the following advantages: each unit set appropriate productive objectives which help students to have clear mind about what they need do in the unit learning; the textbook provides various related input materials and task types to assist students’ accomplishment of unit objectives; the teaching material itself stimulates students’ interest and enhances the internal driving force of students’ study. The possible disadvantage is that the gradual progress of the difficulty among the units in the same level textbooks still needs to be improved. In addition, the teaching material is deficient in the cultivation of basic language skills, and lacks relevant language training, which needs further improvement.
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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 | 0.012 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".