Percepción de los estudiantes sobre la educación en línea en Nicaragua
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The objective of this study is to evaluate students´ perceptions about different aspects (self-evaluation, co-evaluation, pedagogical mediator, academic content and virtual classroom) related to the implementation of e-learning in National Autonomous University of Leon, Nicaragua as part of the national educational Project called Universidad Abierta en Linea de Nicaragua (University Online Opened of Nicaragua) for the first quarter of 2017, where state universities offer complete online careers and courses for free, under the same educational platform. An online survey of 24 items was applied at the end of the first quarter. Univariate analysis was applied, calculating frequency distribution, central tendency (mean, median and mode) and dispersion (standard deviation). Means of Global and categories were calculated. The global mean of the positive perceptions was 55.9%. The categories with the highest percentage of positive perception were Co-evaluation (61.6%) and Virtual classroom (60.04%); in an intermediate point, the categories Academic content and Pedagogical mediator got a 55.44% and 53.9%, respectively. While the category Self-evaluation got only a 48.7% of positive perceptions. As conclusion, more than 50% of National Autonomous University of Leon, Nicaragua ´s virtual career students have positive perceptions in 4 of 5 aspects of the e-learning´s implementation. The outcomes obtained have contributed to detect weaknesses in the virtual teaching-learning process, from the didactic planning to pedagogical mediation, giving us inputs to the continuous improvement.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 it