The influence of various elements of the context on the academic performance of the administration student
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
To admit that Mathematics is totally needed in some knowledge areas it is not always accompanied with positive attitude toward Mats. Teachers ascertain every course that many students do not have a good attitude toward Mats, even though they accept the Mats main roll in science growth and its contribution to solve social problems. From students’ comments, the teachers perceive that the main reasons of this issue are linked to the students’ previous experiences. Researches conducted indicate that there are emotional-psychological walls between students and Mats (Auzmendi, 1992). Another author (Gomez-Chacon, 2000) assures that many students show afraid and aversion which are elements hinder learning and the build of solid basis. This work is a first move to understand this trouble and we may see it when students start any Mats course. We analyze attitudes and perceptions toward Mats from students in the course of algebra in Common Subjects Division of Social Sciences in the Xochimilco unit of the Autonoma Metropolitana University; given the fact their experiences are elements influencing the Mats learning. A question papers was applied to students of Administration in quarter 04-I; questions were oriented to their media-high education experiences.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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