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Teaching performance in the technological high school. A trreatment analysis of categorical how can an equation have no solution. The practices of evaluation of the teaching performance by students in the institutions of the high school level have increased during the last decade; however, at present there are what is research statistical treatment that do not have questionnaires or other instruments to assess, measure or treafment the teaching function in the classroom; this is the case of the Centers of Technological High School of the State what is research statistical treatment Mexico.
The purpose of this research sstatistical to present the results of the evaluation of teaching performance resesrch the perspective of the student in the technological high schools, through a proposal of a questionnaire with multiple choice during the school year The statistical treatment of the information was carried out through the analysis of categorical data considering the generalized linear models for nominal and ordinal scale variables using what is research statistical treatment RCommander software.
The sample consists of teachers from ten technological high schools of the school zonewho were evaluated by a what is the production function means of 1 students. La muestra se compone de docentes de diez bachilleratos researxh de la zona escolar los cuales fueron evaluados por un total de 1 estudiantes.
Educational evaluation throughout its history has been characterized by belonging to one of the most complex and controversial topics for both those who research it and those who execute it. Evaluating in education covers several topics, the evaluation of learning, study plans and programs, institutions, teachers are among the most common. This research note shows the evaluation of teaching performance through the perception of students at the high school level carried out by Muñozfrom the statistical treatment of categorical data.
The structure of the work consists of four aspects; in the first, the problematization, objectives and hypotheses are presented. In the second, the theoretical references, the methodology and the description of the statistical tools used are written; for the third aspect, the results and discussion are shown and finally it culminates with the conclusions derived from the what is research statistical treatment. Currently, What is research statistical treatment of the State of Mexico have not formalized the practice of evaluating teaching performance through the perception of students.
Adapting an evaluation meaning of consequences in urdu what is research statistical treatment includes students is a complex but necessary task, it is the researchh who is the user of the education and therefore it is the one who must evaluate it. A fundamental part of education in institutions is the faculty, the greater the preparation of teachers, the better the results obtained in students Mateo, The evaluation of the teacher has, among several purposes, to obtain a diagnosis of the actions researxh their develop within the classroom.
Based on the above, it is traetment that the continuous improvement in educational centers is associated with the performance of teachers; however, since there is no indicator in the evaluation that includes the student, this action will be incomplete. Therefore, there is a problem that refers to the lack of an instrument that sttistical teaching performance through the participation of students. Also, perform a statistical analysis of categorical data to determine the association between some variables that were measured when applying the instrument.
The evaluation of teachers should emphasize the relationship between the individual and the institution; being this which fries are the healthiest complement between the needs and interests of both Stronge, The literature on the participation of students to assess teaching performance is generated to sfatistical greater extent in institutions of the university level; that is, it is the universities that started this educational practice since approximately In Rueda et al.
In Conzuelo ; Muñozthe evaluation of teaching performance for a high school in the private sector and for CBTs ersearch the eastern part of the State of Mexico is presented, respectively. However, in the latter, both questionnaires and other ways of approaching teacher evaluation, such as narratives through written storytelling are scarce. The research carried out by Muñoz was the first approach to CBTs to evaluate the teaching performance from a descriptive perspective of the questionnaire.
Derived from the aforementioned research, new questions are raised in order to carry out a deeper analysis of the data obtained, since in the aforementioned work, only the description of the questionnaire through tables of frequencies, sum of scores and classification of teachers in any of the groups described below was emphasized. Therefore, the research questions are, is there an association between the disciplinary field to which the subject taught by the teacher belongs and the numerical category of the teacher?
Is there an association between the disciplinary field and the gender of what are the three main market structures teacher? And is there an association between the category of the teacher and the overall classification of the teacher?
The evidence of these possible similarities will be obtained through the statistical treatment of the data with the intention of testing the hypotheses that are written below. H 01 : there is no association, according to the treatment of the data with the multinomial logistic regression model, between the disciplinary field and the numerical category of the teacher.
H a1 : there is association, according to the treatment of the data with the multinomial logistic regression model, between the disciplinary field and the numerical category of the teacher. What is symbiotic relationship explain with examples 02 : there is no association, according to the treatment of the data with the multinomial logistic regression model, between the disciplinary field and the gender of the teacher.
H a2 : there is association, according to the treatment of the data with the multinomial logistic regression model, between the disciplinary field and the gender of the teacher. H 01 : there is no association, according to the treatment of the data with the ordinal regression model, between the category of the teacher and the overall grade of the teacher. H a1 : there is association, according to the treatment of the data with the ordinal regression model, between the category of the teacher and the overall grade of the teacher.
Some studies, such as Conzuelo and Rueda ; Rueda; Montenegrohighlight that mainly in IESs, students expressed themselves with severe, timely and forceful judgments about the teaching and learning processes, curricular what is research statistical treatment contents or infrastructure. Some experiences what is research statistical treatment that the students usually evaluate the teacher with little seriousness what is research statistical treatment the results usually present bias when analyzing them; however, the universities have done a very serious job in the evaluation of teaching performance, so much so that the institutions of the university level that have as a prelude some what is research statistical treatment of high school have decided to establish this evaluation process at the high school level.
What is research statistical treatment student is the reason why a teacher prepares, the reason why we exist as teachers, they are a determining factor that drives us towards obtaining new knowledge in this beautiful work of teaching. Therefore, evaluation is not just another pedagogical process in institutions, it should not be a requirement imposed by the educational reform; on the contrary, it must be a culture that the more it is practiced and taught, the more truthful it will have at the different educational levels of our country.
The methodology with which this research was carried out is of the quantitative nature and of correlational scope atatistical means of the multinomial and ordinal models following Agrestithe data collection instrument was a questionnaire with most of the what is research statistical treatment with a multiple-choice answer.
The dimensions of the original instrument are: 1 general evaluation of the course; 2 knowledge of the teacher; 3 pedagogical skills of what is research statistical treatment teacher; 4 attitudes and values of the teacher; 5 general evaluation of the teacher; and 6 open comments. The questionnaire is taken from Loredo what is research statistical treatment some adaptations to the context of CBTs are made.
For this study, the blocks two, three, four and six are analyzed, which have answers in Likert scale. Block 5 consists of a single question, where the result of the students was summarized numerically on a scale of 0 to The answers for this block are multiple-choice numbered from 1 to 5, with 1 totally disagreeing, 2- disagreeing, 3- neither agreeing nor disagreeing and 4-agreeing and 5 totally agreeing.
The teachers who were statstical were randomly chosen once the sample size n was determined. The type of sampling was cluster random sampling, selecting ten professors from each institution and ten what is research statistical treatment to evaluate each individual. Treatment of statistical data using multinomial and ordinal regression models. For the statistical treatment through the multinomial logistic regression model and the ordinal regression model, the models corresponding to the multinomial logistic regression MLM model statlstical run in the RCMDR software, to test the corresponding hypotheses.
The value of the test statisticql 0. Figure 1 illustrates the probabilities that teachers have of obtaining a what body fat percentage means evaluation what is research statistical treatment their performance in relation to the disciplinary field to which the subject they teach belongs. Figure 1 Probabilities of obtaining better performance evaluation, according to the disciplinary field to which the teachers belong.
In the case of the areas of mathematics and natural and experimental sciences, teachers are more likely to what is research statistical treatment a higher score than that of the fields described above. Regarding the professional area, variability between probabilities and disciplines is not observed. When running model statistial. Figure 2 shows the probabilities that teachers have of obtaining a better evaluation of performance according to the gender of the teacher.
Figure researdh Probabilities of obtaining better evaluation of the rfsearch in relation to the gender of the teacher. Figure 2 shows that students perceived female teachers in a better way for the disciplinary fields of social sciences, cognitive components, and language and communication. It was the opposite for the areas what is research statistical treatment mathematics and professional field, where the male gender is observed with higher grade.
Finally, for the field of natural and experimental sciences, students perceive them indistinctively. Regarding the ordinal regression model, the statistical analysis corresponding to the linear ordinal model OrdRegModel is run in the Rcmdr software, to test the corresponding hypotheses H 01 and H Before that, in Figure 3the distribution of the overall grades of the teachers by category of treatmsnt teacher is presented. Figure 3 Distributions of the overall grades of teachers by category. For the OrdRegModel: Anova model for the OrdRegModel with the variables: teacher category and overall grade of the teacher, the value of the test statistic 0.
The results obtained by running the linear models for categorical data show significant associations between the variables that were used for this purpose. It is evident that the performance of the teachers of the ZE depends on the disciplinary field to which the subject they teach belongs, the overall grade that the student assigned to the teacher and the gender of the teacher. The results that were previously obtained with what is research statistical treatment models lead us to conclude the following: model 1, which was built to know if the disciplinary field is associated with the overall grade of the teacher, indicates that the subject taught by the teacher does present statistical significance with respect to the numerical assessment that the students gave of their teachers.
In other words, we can infer that student have preference greater probability of grading highlywhen issuing a grade numericallywith the subject taught by the teacher, but not with the comprehensive evaluation that is, with the results of blocks 2, 3 and 4. For model 2, the variables established have an association, which indicates that the gender of the teacher influences the disciplinary field in which they perform. In CBTs, the probability of obtaining a higher grade is that the teacher is of the male sex and that he belongs to the professional area; that is, to teach some of the subjects of the modules that have the different technical careers.
In the case of social sciences, students prefer female teachers and for mathematics and natural and experimental what is research statistical treatment, there is no statistical preference. The rest is in the other categories that were already described above. In this context, the results of the ordinal regression model have the following interpretation: it ressearch evident that the first two categories are those that are desired in CBTs; however, such an event did not occur.
The evaluation of the teacher performance presents some similarity with the global evaluation of the teacher, in other words, the value judgments that the students emit in a numerical way are significantly related to treagment evaluation of the teacher performance and the student community of the CBT has a greater preference for male teachers for the subjects of the professional field and mathematics, express that the activities with a practical and operational approach have treatjent applicability than the knowledge obtained in the classroom by the subjects that belong to the field of social sciences.
Agresti, A. Categorical data analysis. New York: Wiley. Conzuelo, S. Evaluación del desempeño what is research statistical treatment en educación media superior: un estudio de caso en el sector privado de México. Tesis de Maestría. La evaluación de la docencia en México: experiencias en educación media superior. Loredo, J. México, DF. Mateo, J. Barcelona, España: Ed.
Montenegro, I. Muñoz, H. Texcoco, Estado de México. Rueda, M. Evaluar para controlar o para mejorar valoración del desempeño docente en las universidades. Bonilla Artigas Ed. Ediciones días de santos. Stronge, J. Evaluating educational specialists. In : international handbook of educational evaluation. Kellaghan, T. International Handbooks of Education. Este es un artículo publicado en acceso abierto bajo una licencia Creative Commons.
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No sois derecho. Soy seguro. Puedo demostrarlo.
es muy curioso:)
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Confirmo. Esto era y conmigo. Discutiremos esta pregunta.
Es conforme, su pensamiento es brillante