Audiovisual Resources in Formal and Informal Learning: Spanish and Mexican Students’ Attitudes
Bibliographic record
Abstract
This research analyses the evolution in the effectiveness of media messages and aims to optimize the use of ICTs in educational settings. The cultural impact of television and multimedia resources is increasing as they move to the Internet with ever greater quality. The integration of visual narrative techniques with multimedia playback capabilities of the Internet is creating an innovative model of knowledge transfer that contrasts with some traditional school approaches. So, the introduction of audiovisual elements and multimedia resources in the classroom seems to be more effective than other “traditional” methodologies. In order to assess and test this initial hypothesis, this research relies on empirical data from a survey conducted among more than 400 students from Spanish and Mexican schools. Besides considering the relation between the time spent watching multimedia resources and students’ academic performance, this paper analyses the possible benefits of learning strategies that include multimedia and audiovisual elements. Above all, we suggest that teachers should use educative methodologies that trigger emotional responses, in the same way as entertainment and multimedia resources do.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".