Tic y enseñanza de español en camerún: creencias del profesorado e implicaciones didácticas
Bibliographic record
Abstract
En el present treball s'analitza el coneixement i les creences que t el professorat cameruns d'espanyol respecte a l's de les TIC en el procs d'ensenyament /aprenentatge. A partir d'unes enquestes dirigides a 60 docents camerunesos de l'Educaci Secundria, determinem primer l's i coneixement sobre les TIC per a fins pedaggics. Seguidament explorem les creences que tenen respecte a la incorporaci de les TIC en les prctiques docents. De l'anlisi de les dades recollides es desprn que hi ha poc coneixement de les aportacions de les TIC en la tasca docent d'ELE, de manera que l's de la tecnologia pel professorat enquestat s molt limitat i inexistent en la gran majoria de casos. D'altra banda, s'adverteix que tot i que abunden creences positives sobre la incorporaci de les TIC en l'ensenyament, hi ha docents que comparteixen idees que podrien dificultar la integraci de les TIC en el procs educatiu. Tic y enseanza de espaol en Camern Intercambio/change 2 (2018): 84-96 / e-
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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".