Development of Literary Competence Through a Semiotic Approach and Technological Resources
Bibliographic record
Abstract
Currently, literary competence is scarcely addressed in secondary education teaching. Therefore, the objective of this study was to design a didactic proposal to improve literary competence through a semiotic approach and technological resources in secondary school students of an educational center located in the city of Lambayeque. The research was quantitative, non-experimental and descriptive-propositive design. The instrument used was the "Likert scale to evaluate literary competence", which was applied to a sample of 32 fifth grade students, selected by non-probabilistic sampling. As a result, it was obtained that the students presented low levels of achievement, since 100% of them only evidenced beginning processes. In response to this problem, a didactic proposal for the comprehension and production of narrative discourse was designed and validated from a semiotic perspective using ICT resources. We conclude on the importance of the contributions in the area of communication, which can integrate didactics with technology, contributing to the pedagogical processes for current generations and educational systems of the globalized world.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".