Modelo explicativo del rendimiento académico en matemática en estudiantes de educación secundaria de una institución educativa de Huancayo

L. C. Ramírez
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Abstract

The research is explanatory with no transactional experimental design, correlational- causal, the overall objective was to establish a descriptive model of academic performance in mathematics in secondary school female students, the specific objectives identified relationships and explaining the contribution of the cognitive and affective component of attitudes, functional and behavioral competencies of job performance, and classroom activities, compared to academic performance. The probabilistic sampling was not intentional. The sample group consisted of 792 students divided into 24 sections of five grades. The instruments used were Survey of student opinion on the teaching performance of teachers, the scale attitudes toward mathematics in middle and university education, the annual job performance evaluation of teachers, the Stallings test, and official records of evaluation. In the research, the correlations between the study variables, their factors, dimensions and components were determined; We also found eleven predictive models and a model of structural equations of covariations that contribute to the explanation of academic performance. These results indicate that the predictors of the opinion are: the obligations in class, the assessment, the program, the teacherstudent relationship and the evaluation, which together explain 90%; anxiety 50%, confidence 44%, motivation 37% and liking explain 70% of the variability of attitudes.
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万卡约某教育机构中学生数学学习成绩的解释模型
本研究为解释性研究,无交易性实验设计,相关-因果关系,总体目标是建立中学女生数学学习成绩的描述性模型,具体目标是确定态度的认知和情感成分、工作绩效的功能和行为能力以及课堂活动对学业成绩的贡献。这种概率抽样并不是有意的。样本组由792名学生组成,分为五个年级24个小组。使用的工具是学生对教师教学绩效的意见调查、对中学和大学数学教育的量表态度、教师年度工作绩效评估、斯托林斯测试和官方评估记录。在研究中,确定了研究变量及其影响因素、维度和成分之间的相关关系;我们还发现了11个预测模型和一个协变结构方程模型有助于解释学业成绩。结果表明,学生意见的预测因子为:课堂义务、评价、项目、师生关系和评价,共解释90%;焦虑占50%,自信占44%,动机占37%,喜欢占70%。
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