Browsing Master's Theses by Subject "Test-taking skills."
Now showing items 1-2 of 2
A study on solution techniques used by eighth grade mathematics students while solving systems of equations.This research examines the effects of instructional order in regard to preference and achievement of solution techniques when solving systems of equations algebraically. It is hypothesized that students in an eighth grade mathematics classroom will have a preference for the technique they use for solving a system of equations. Additionally, that preference will be determined by which technique was introduced to the student first. To test this hypothesis students from four different classes were divided into two groups, students who would learn substitution first and students who would learn elimination first. Each group would be introduced to the alternate technique directly after the first. After both groups were familiar with the two techniques, an assessment was given tracking and comparing achievement and technique used on each problem between the students in the two groups. Additionally, a survey was given directly after the assessment to determine how the students felt about both techniques and trends from these surveys were also compared.
Taking your time, or just wasting it?This research examines the connection between the amount of time a student takes to complete a test and the score that they receive on the test. It is hypothesized that students who take longer to complete their test will actually score lower on the test than the student that finish their tests more quickly. Furthermore, it is thought that female students will have stronger correlations between score and time than will male students. The main discovery that was made is that there was significance in the data regarding strictly time and score. It was shown that students who use less time to take their tests generally scored better than those who took longer to complete the test. However, there was no statistical significance found when breaking down the data into specific categories based on gender, grade level, age, or class.