A Neurodidactic Model for Teaching Elementary EFL Students in a College Context
Bibliographic record
Abstract
The purpose of this study was to propose a neurodidactic model for the development of primary communication skills in 1st year students of English as a Foreign Language at the University of Pamplona. Conceptually, the variables were supported upon relevant educational theories, language acquisition theoretical constructs and recent neuroeducational tenets. This was a descriptive, explanatory field, and projective research, which used a non-experimental cross-sectional design. 102 students formed the population, while the sample was randomly and representatively conformed by 62 individuals. The data collection instrument consisted of a modified Likert scale survey with 45 items. As for the reliability and validity, they were determined by expert judgment, discriminant analysis by item, as well as Cronbach's α reliability coefficient of 0.873 for the first and through a pilot test of 20 individuals; the second being a coefficient of 0.880. The results indicated an averagely high didactic methodology against a very high neurodidactic methodology, obtaining a relationship between the two approaches that endorses the implementation of brain-based strategies to enhance the learning of a foreign language.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".