Inferência de componentes principais no desempenho discente em um curso de licenciatura em física semipresencial da Universidade Federal do Ceará (UFC) utilizando elementos da análise multivariada

Abstract

This paper deals with Inference Principal Components in student performance of students in the first year of a physics course in blended mode of the Federal University of Ceará (UFC), in partnership with the Open University of Brazil (UAB). As part of the learning assessment context are several factors that contribute to the formation of the student. Among these factors, we can highlight the influence of the teacher, the school environment, the topic,the type of assessment, among others. In genera, there are difficulties in obtaining reliable measures regarding the influence of each factor on student learning; arising in part from the fact that the factors are evaluated independently, through specific tests. These difficulties become more apparent to a Virtual Environment Education, which involves assessments in various activities, individual and collective, as chats, forums and portfolios. The objective of this work is to apply multivariate statistical technique (Principal Component Analysis) in grades obtained by students in a Teaching Virtual Environment SOLAR to check the patterns of relations between the subjects studied in the first year of the course. It is intended with this, show that students' grades in subjects that have an intrinsic connection of content, they have a very strong correlation with each other; because the subjects of some sciences depend on prior knowledge. From there, it is expected that there is, by the student, their autonomy for teaching and learning, thus leading to a better final performance. All this measured by the method of Principal Component Analysis (PCA),considering a set of marks obtained by students in the course of blended Degree in Physics in six subjects. In addition to a theoretical framework regarding the Educational Assessment in accordance with the ideas Scriven, among other authors and also a theoretical approach of David Ausubel Meaningful Learning.