Information and Communication Technologies (ICT) and Their Relation to Academic Results Indicators in State Public Universities in Mexico
Why this work is in the frame
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Bibliographic record
Abstract
We present an analysis regarding Information and communication technologies (TIC) and their relation with indicators of academic results in bachelor’s degree programs offered in state public universities in Mexico. This work is non experimental, cross-sectional, and correlational. The goal is to determine significant relations between variables: educational programs that incorporate telematics in their programs and courses of study, qualifications, withholding rates, completion rates, professional integration, along with graduates and employers satisfaction. The data is formed by 58 universities that presented their Program of Quality Strengthening in Education Institutions (PROFOCIE) projects before Ministry of Public Education (SEP) in 2015; and were processed in the statistic package SPSS, obtaining correlation coefficients. These results showed significant relation to withholding rates and student and graduates satisfaction, even though a significant relation wasn’t found in degree indicators, completion rates, and professional integration.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it