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Record W3165895529

Identificación de las actitudes que presentan los alumnos de la carrera de procesos de producción ante el periodo de estadía

2007· dissertation· es· W3165895529 on OpenAlexaboutno aff
Cabrera Martínez, Dora María iris

Bibliographic record

Venuenot available
Typedissertation
Languagees
FieldSocial Sciences
TopicEducation and Labor Relations
Canadian institutionsnot available
Fundersnot available
KeywordsInternshipQuarter (Canadian coin)Likert scalePsychologySituational ethicsHigher educationMedical educationHumanitiesGeographySocial psychologyPolitical scienceMedicineArtDevelopmental psychology
DOInot available

Abstract

fetched live from OpenAlex

Through a descriptive study carried out at the University of Northern Guanajuato (Universidad Technological del Norte de Guanajuato),whose principal activity is the academic education of students and their entry into the employment field, the author had access to the respective work that characterizes the institution, describing it through use of the following variable: Attitudes toward the internship process. The main objective of this research was centered on: Knowing the attitudes of students toward the internship process, as well as identifying the most recurrent attitudes of students toward the internship process. In order to find out what attitudes students have regarding the internship process, we applied a Lickert-type scale to students majoring in Production Processes who are in their fifth quarter. A series of items was established, taking into account the three components of attitude: cognitive, emotional and behavioral. The instruments were applied to 61 students who are presently in their fifth quarter of the major in Production Processes and who will later do an internship in a company or industry. The students were from both rural and urban socio-cultural groups; their average age was between 19 and 21, approximately. A Likert-type scale was also applied to teachers in order to become familiar with their opinions regarding attitudes manifested by students in their daily activities toward the internship process to be taken in the sixth quarter. Using AST's (from its initials in Spanish- situational analysis of work), used by the University with businessmen, we were able to ascertain opinions about the institution in regard to the applicability of the education received by students and graduates. Regarding the attitudes variable toward the internship process, we now know the attitudes of the students in the Production Processes major toward the period of internship. The highest percentage among students was motivation, followed closely by worry and fear. The latter are, to a certain degree, understandable, since at their young age when they take on an internship they do not have previous experience regarding the reality of work. Likewise, sore of the students haven ot reached a level of personal maturity that would allow them to assume the responsibilities characteristic of the industrial sector. This study brings to light important issues, the first of which is the feasibility of continuing the research at a deeper level. The second is the need to design a pre-established internship program with the industrial sector; in other words, to make and publish a list of companies that accept students for carrying out an internship, a list that would be available to students. Teachers must also be designated ahead of time to act as academic advisers. These teachers can establish contact with company?s in order to work with them in detailing projects to be carried out. These projects and company names, as well as the needs to be covered, would then be published. In this way, students would be informed and could give consideration in advance to their doubts or desires about working in a particular company, or they would have a chance to choose a different company where they feel they could achieve their peak performance

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.013
GPT teacher head0.427
Teacher spread0.414 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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