Brief Reports: Discriminating Factors and Sex Differences in Electing Mathematics

1982 ◽  
Vol 13 (1) ◽  
pp. 66-74
Author(s):  
Teri Hoch Perl

Several studies have been carried out recently to learn more about sexrelated differences in mathematics achievement. A major question addressed by these studies is why fewer females than males continue studying mathematics beyond those courses required for high school graduation or college entrance. This paper addresses this question through a secondary analysis of data from the National Longitudinal Study of Mathematics Achievement (NLSMA) (Romberg & Wilson, 1969). The analysis identifies sex-related differences in selected variables believed to influence student decisions to continue the study of mathematics. The resulting findings are in remarkable agreement with current studies (Armstrong, 1980; Fennema, 1977; Fennema & Sherman, 1977; Casserly, Note 1; Steel & Wise, Note 2) and suggest the validity of analyzing extant data for insights into continuing educational questions. Further, although the NLSMA study was carried out in the 1960s, because of its extensive nature, it behooves us to learn what it tells about sex-related differences that may have been present at that time. Indeed, the students in the NLSMA study are the teachers of the 1980s.

2020 ◽  
Vol 122 (8) ◽  
pp. 1-42
Author(s):  
Karen Arnold ◽  
Georgiana Mihut

Context Educational reform efforts have taken the form of different school models intended to reduce educational inequality. Personalized, interest-based schools and academically focused, “No Excuses” schools are two leading small-school designs with sharply contrasting approaches to innovation. Given mixed research findings about the successes and challenges of school reform models in the United States, it is imperative to understand how educational outcomes of students relate to the philosophy and distinguishing characteristics of particular school models such as these. At the same time, evaluating social mobility effects of high school education across educational reform models requires examination of common metrics such as high school graduation rate and college entrance and degree attainment. Purpose This study sought to establish whether and how a personalized, interest-based secondary school reform model is associated with graduates’ characteristics and postsecondary outcomes—and to place these findings in relation to student outcomes reported by a leading No Excuses school network. Setting Big Picture Learning is a network of innovative small schools that serves primarily low-income and minoritized students through an individualized, relational, real-world-based high school experience. The Big Picture educational model features individualized learning plans connected to extensive internships, independent learning organized around student interests, authentic assessments, and close, informal relationships between students and adults. Research Design The Big Picture Longitudinal Study tracked 1900 graduates from six graduating high school classes. Data sources included student and school advisor surveys, National Student Clearinghouse college enrollment data, and interviews with graduates’ former advisors. Published outcomes data for KIPP No Excuses schools provided comparative information. Analyses comprised descriptive statistics of survey data and multivariate regression analyses connecting high school exit data to college outcomes. Findings The Big Picture Learning model is extremely successful in meeting its stated goals of fostering positive relationships, helping students discover and pursue their interests, and promoting high school graduation and college entrance. Results for academic subject achievement and college persistence are mixed, however. Big Picture graduates have similar college matriculation rates but somewhat lower six-year graduation rates than alumni from the KIPP No Excuses school network. Alumni from both networks show high rates of college attrition. Conclusion When taken alone and in context of other innovative school models, the Big Picture results point to the difficulty of sustaining secondary school gains in the post-high school lives of low-income students and highlight shortcomings of traditional colleges in serving this population.


1974 ◽  
Vol 5 (3) ◽  
pp. 126-139 ◽  
Author(s):  
Elizabeth Fennema

It has long been accepted as true that boys learn mathematics better than girls do. To determine the validity of this belief, 36 studies concerned basically or tangentially with sex differences in mathematics achievement were reviewed and two others were analyzed in depth. The data from one study (Parsley, et al., 1964), which often has been quoted as supportive of boys' mathematics superiority, was reevaluated with the conclusion that the data from this study do not support the idea that boys are superior to girls in mathematics achievement. Data concerned with sex differences in achievement from the National Longitudinal Study of Mathematics Achievement were also presented.No significant differences between boys' and girls' mathematics achievement were found before boys and girls entered elementary school or during early elementary years. In upper elementary and early high school years significant differences were not always apparent. However, when significant differences did appear they were more apt to be in the boys' favor when higher-level cognitive tasks were being measured and in the girls' favor when lower-level cognitive tasks were being measured. No conclusion can be reached concerning high school learners.


2020 ◽  
Vol 3 (4) ◽  
pp. 276-287
Author(s):  
The Vinh Tran ◽  
Tran Kim Thanh ◽  
Tran Manh Tuong ◽  
Vu Anh Linh Duy

In Vietnam, since 2015, the Ministry of Education and Training of Vietnam has decided to abolish university entrance exams and advocates the use of high school graduation exam results of candidates for admission to go to universities. The 2015 and 2016 exam questions for the Math exam are the essay questions. From 2017 up to now, the Ministry of Education and Training of Vietnam has applied the form of multiple-choice exams for Mathematics in the high school graduation exam. There are many mixed opinions about the impact of this form of examination and admission on the quality of university students. In particular, the switch from the form of essay examination to multiple-choice exams led the entire Vietnam Mathematical Association at that time to send recommendations on continuing to maintain the form of essay examination for mathematics. The purposes of this article are analysis and evaluation the effects of relevant factors on the academic performance of advanced math students of university students, and offer solutions to optimize university entrance exam. The data set was provided by Training Management Department and Training Quality Control and Testing Laboratory of the University of Finance – Marketing. This dataset includes information about math high school graduation test scores, learning process scores (scores assessed by direct instructors), and advanced math course end test scores of 2834 students in courses from 2015 to 2019. Linear and non-linear regression machine learning models were used to solve the tasks given in this article. An analysis of the data was conducted to reveal the advantages and disadvantages of the change in university enrollment of the Vietnamese Ministry of Education and Training. Tools from the Python libraries have been supported and used effectively in the process of solving problems. Through building and surveying the model, there are suggestions and solutions to problems in enrollment and input quality assurance. Specifically, in the preparation of entrance exams, the entrance exam questions should not exceed 61-66 % of multiple choice questions.


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