Abstract:

Understanding the relationship between different variables and their impact on students' final grades is essential for optimizing teaching strategies and enhancing university student performance. The objective of this study is to determine the correlation of various variables involved during the mathematics course with the final grade of the subject. To achieve this, data from university students in 2023-2024 academic course were analyzed, including variables such as the partial exam grade, computer practicals grade or submitted optional assignments. The statistical analysis involves an initial descriptive analysis to summarize and verify the distribution of the variables, as well as the correlation study using techniques such as confusion matrix and determination of the correlation coefficient.The results provide numerous conclusions regarding the hypothesis put forward in the study, shedding light on various aspects of the relationship between the analyzed variables and providing valuable insights into their interplay within the context of the mathematics course at the university. One of the most important results is the strong dependence of the partial exam and the final grade, with a correlation coefficient of 0.73, as well as the computer practicals, which have a correlation of 0.72 with the final grade. Another interesting point is the null relationship between the assignments and the final grade, which suggests that the assignments may not be reliable as they possibly receive external assistance. Those findings could help us to learn about patterns that students may follow and to develop new techniques to improve the teaching and learning process of the subject.

Keywords:

Mathematics, assessment, teaching strategies.