scholarly journals Associations Between Performance on the Entrance Exam and Subsequent Academic Performance at the Federal University of Minas Gerais

2020 ◽  
Vol 8 (18) ◽  
Author(s):  
André Braz Golgher
Keyword(s):  
Academic Performance ◽  
Predictive Power ◽  
Selection Process ◽  
Minas Gerais ◽  
Entrance Exam ◽  
Entrance Exams ◽  
Second Stage ◽  
Predicting Gpa ◽  
The University ◽  
Mathematics And Science

This paper analyses associations between performance on the entrance exams and subsequent academic performance at the Federal University of Minas Gerais (UFMG). Results clearly indicate that minority students catch up with other students while attending the university. For those who entered this institution in 2009, when the first stage of the selection process was UFMG´s own exam, the Portuguese, Mathematics, and Science exams had a larger predictive power, while the humanities and foreign language exams showed non-significant results or played smaller roles in predicting GPA outcomes. For those who were selected in the entrance exam of 2012, when the National Exam of the Secondary Level (ENEM) was used as the first stage of the selection process, all four exams (Language, Mathematics, Humanities, and Science) showed positive and significant results. In addition, the second stage of UFMG´s exam had a greater predictive power when ENEM was used as the first stage of the selection process.

scholarly journals An assessment of the Federal University of Minas Gerais's socioracial bonus on student academic performance

2018 ◽  
Author(s):  
André Braz Golgher ◽  
Ernesto F. L. Amaral ◽  
Alan Vítor Coelho Neves
Keyword(s):  
Academic Performance ◽  
Social Inclusion ◽  
Minas Gerais ◽  
Performance Information ◽  
Entrance Exam ◽  
Student Academic Performance ◽  
Global Performance ◽  
The University ◽  
Social Demographic ◽  
The Impact

Title in Portuguese: Avaliação de impacto do bônus sociorracial da UFMG no desempenho acadêmico dos estudantesAbstract: The objective of this article is to assess whether academic performance at the Federal University of Minas Gerais (Universidade Federal de Minas Gerais - UFMG) varies depending on whether students received socioracial bonuses on the institution’s entrance exam. The study analyzes the impact of different categories of this social inclusion policy. The database contains socioeconomic and academic performance information for students in their 1st, 2nd, 3rd and 4th semesters at UFMG in 2009 and 2010. A series of models were estimated to analyze differences in Semiannual Global Performance (Rendimento Semestral Global - RSG). The results suggest that RSG results for students who received and did not receive the bonus are similar, controlling for social, demographic and economic variables. This study suggests that UFMG’s socioracial bonus policy had the desired effect of including less-favored groups at the university without diminishing educational quality.Resumo: O objetivo deste artigo é avaliar se o desempenho acadêmico na Universidade Federal de Minas Gerais (UFMG) é diferenciado entre estudantes que receberam e que não receberam o bônus sociorracial no vestibular da instituição. O estudo analisa o impacto de diferentes categorias desta política de inclusão social. O banco de dados possui informações socioeconômicas e de desempenho acadêmico sobre alunos que estavam cursando os 1ºs, 2ºs, 3ºs e 4ºs semestres na UFMG nos anos de 2009 e 2010. Uma série de modelos foram estimados para analisar diferenças no Rendimento Semestral Global (RSG). Os resultados sugerem que o RSG é similar entre bonistas e não bonistas, controlando por variáveis sociais, demográficas e econômicas. Este estudo sugere que a política de bônus sociorracial da UFMG ocasionou o efeito desejado de inclusão de grupos menos favorecidos na universidade, sem diminuir a qualidade de ensino.

scholarly journals Academic performance of students at the Federal University of Minas Gerais: An analysis of the socio-racial bonus policy

2018 ◽  
Author(s):  
André B. Golgher ◽  
Ernesto F. L. Amaral ◽  
Alan Vítor Coelho Neves
Keyword(s):  
Academic Performance ◽  
Affirmative Action ◽  
Federal Government ◽  
Social Inclusion ◽  
Minas Gerais ◽  
Academic Excellence ◽  
Review Committee ◽  
Affirmative Action Policy ◽  
Entrance Exam ◽  
Academic Control

Title in Portuguese: Desempenho acadêmico dos estudantes da UFMG: Uma análise da política de bônus sociorracialAbstract: This paper analyzes the academic performance of students of the Federal University of Minas Gerais (UFMG), Brazil, in order to observe differences in academic performance between students who received and who did not receive the socio-racial bonus at the entrance exam of the institution. The database with students’ socioeconomic information comes from the admission exam’s permanent review committee (“Comissão Permanente do Vestibular” – COPEVE) at UFMG. The database with information about academic performance of students was provided by the department of registry and academic control (Departamento de Registro e Controle Acadêmico – DRCA). These data were aggregated for this study. The results suggest that the academic performance is similar between students who received and who did not receive the socio-racial bonus in most comparisons. That is, this affirmative action policy seems to ban an effective one in order to promote social inclusion with academic excellence. This is an important analysis to be developed at this moment of implementation of the 2012 quota law by the Federal Government (Law #12,711).Resumo: Este trabalho faz uma análise do desempenho acadêmico de estudantes da Universidade Federal de Minas Gerais (UFMG) com o objetivo principal de verificar se há diferenças de desempenho significativas entre estudantes que receberam e não receberam o bônus sociorracial no vestibular da instituição em 2009 e 2010. O banco de dados com informações socioeconômicas dos estudantes é proveniente da Comissão Permanente do Vestibular (COPEVE) da UFMG. O banco de dados com informações sobre desempenho acadêmico dos estudantes foi disponibilizado pelo Departamento de Registro e Controle Acadêmico (DRCA) da universidade. Estes dados foram agregados para a realização deste estudo. Os resultados sugerem que o desempenho escolar entre bonistas e não bonistas é similar na grande maioria das comparações. Ou seja, a política de bônus sociorracial, implementada durante alguns anos na UFMG, não promoveu a entrada de estudantes com baixo potencial acadêmico, sendo, portanto, uma política eficaz de inclusão social sem danos para a excelência acadêmica da universidade. Esta análise é importante de ser realizada neste momento de implementação da lei de cotas de 2012 do Governo Federal (Lei nº 12.711).

scholarly journals Comparison of Applicant's Results for Studies from Russia and Vietnam at the University of Economics, Prague

10.28945/3708 ◽  
2017 ◽  
Author(s):  
Milos Maryska ◽  
Petr Doucek ◽  
Lea Nedomova
Keyword(s):  
Education System ◽  
Logit Model ◽  
Graduation Rate ◽  
Hard Copy ◽  
Education Systems ◽  
Data Set ◽  
Entrance Exam ◽  
Entrance Exams ◽  
Study Results ◽  
The University

Aim/Purpose: The aim of this paper is analysis of applicants for study at the University of Economics, Prague (UEP) that are coming from foreign countries. The second aim is to learn the graduation rate of foreign students. Background: Knowledge about applicants results are important for changing entrance exams according to the changing situation in high school education systems and according to the changing requirements coming from teachers at UEP. The background question is, if the both components of entrance exams should have the same significance. Methodology: Entrance exams results were analysed for 2009-2016 period. We used standard statistics methods supported by the IBM SPSS tool and Microsoft Excel. All data were processed by way of Microsoft SQL Server. We analyzed the faculties that require Mathematics and English entrance exams. We are comparing mainly results of applicants from Russia and Vietnam. For graduation rate estimations the logit model approach has been applied. The data for our analysis came from UEP information systems and hard-copy applications and were then set anonymous. Contribution: Detailed analysis of situation at the UEP and guideline on how to process similar research at another universities. Paper offers comparison of Russian education system results in Mathematics and English with the education system of Vietnam. Further contribution is for Vietnamese potential applicants for study in the Czech Republic. Findings: Based on our analysis, we concluded that total number of applicants for studies was 109,996 students at the UEP during the analyzed period and applicants from Vietnam 1,686 and from Russia 7,227. For studies were accepted 717 applicants from Vietnam (42.5%) and 1,986 applicants from Russia (27.5%). We were also able to prove a slightly positive correlation between the number of points obtained for the English entrance exam and the mathematics entrance exam. However, this correlation goes slightly downhill over time. Further findings are from logit model of correlation between number of obtained points and successfully studies completion. The border for effective acceptance of students from this data set is approximately 170 obtained points in entrance exam. Recommendations for Practitioners : This analysis offers results of entrance exams on UEP from English and Mathematics. Recommendation could be held in comparison of education systems efficiency in Russia and Vietnam in these two areas with reflection requirements on students of economy at University of Economics, Prague. Recommendation for Researchers: The way of analysis, number of analyzed sample, final data and conclusions from this research. Using logit model for study success rate modeling. Offer for cooperation in analysis of entrance exams data queues. Impact on Society: Comparison of entrance exams results on University of Economics, Prague between Russian and Vietnamese applicants for study in the area of economics. Comparison of education systems effectiveness in Vietnam and in Russia in relation to economics studies in EU country. Future Research: Process this analysis in longer period and extend for another countries and nationalities. Next step planned for this is year is analysis of relation among results of Mock Entrance Exams – Entrance Exams – Study Results. This is long-term plan. In next 5 years, we should be able to answer question if there is some probability, that students failed during standard entrance exams when these students pass mock exams for example because he was in stress?

scholarly journals Traits versus Grades—The Incremental Predictive Power of Positive Psychological Factors over Pre-Enrollment Achievement Measures on Academic Performance

2021 ◽  
Vol 11 (4) ◽  
pp. 1744
Author(s):  
Beatrix Séllei ◽  
Nóra Stumphauser ◽  
Roland Molontay
Keyword(s):  
Academic Performance ◽  
Undergraduate Students ◽  
Psychological Factors ◽  
Predictive Power ◽  
Logistic Regression Models ◽  
University Of Technology ◽  
Achievement Measures ◽  
University Performance ◽  
The University ◽  
Better Than

Understanding what (and to what extent) psychological factors affect university performance has attracted a lot of research interest recently. In this paper, we use logistic regression models to study the incremental predictive power of positive psychological factors over pre-enrollment achievement measures on academic performance. The study is based on the data of 302 business and economics undergraduate students from the Budapest University of Technology and Economics. Coping proved to be the most important factor that sheds light on the importance of stress management for students. We also found that using properly chosen psychological factors measuring coping, personality traits, psychological immune system, emotional intelligence, and PERMA (P—positive emotion, E—engagement, R—relationships, M—meaning, A—accomplishments) factors, together with the university entrance score and academic performance can be predicted significantly better than solely relying on pre-enrollment achievement measures.

An Example of Using MATLAB for Data Analysis—The Correlation between College Entrance Exam and Students’ Performance at Universities

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Zhihao Ren
Keyword(s):  
Standardized Testing ◽  
College Entrance ◽  
College Entrance Exam ◽  
Entrance Exam ◽  
Entire Cohort ◽  
Entrance Exams ◽  
Future Performance ◽  
Significant Difference ◽  
Exam Scores ◽  
The University

<p>Many universities all over the world use entrance exams as a tool for filtering and selecting applicants to their courses. While entrance exams provide a standardized testing mechanism, it is not clear whether they are a predictor of the student’s future performance at the university. As an initial investigation, the author found and analyzed a raw dataset of students’ entrance exam scores and their performance in the university during the first three semesters. The author carried out statistical analysis for the entire cohort and also according to gender. The analysis was carried out using Matlab. The analysis carried out shows that for the given dataset, there is no correlation between entrance exam scores and university scores. Also, there is no significant difference in the performance at the entrance exam and university scores, between male and female students.</p><p> </p>

scholarly journals Tail conditional probabilities to predict academic performance

4open ◽  
2019 ◽  
Vol 2 ◽  
pp. 18
Author(s):  
Verónica Andrea González-López ◽  
Marina Capelari Piovesana ◽  
Nícolas Romano
Keyword(s):  
Academic Performance ◽  
Bayesian Estimation ◽  
Natural Sciences ◽  
Conditional Probabilities ◽  
Copula Models ◽  
Entrance Exam ◽  
Calculus I ◽  
Tail Events ◽  
Conditional Events ◽  
The University

In this paper, we estimate tail conditional probabilities by incorporating copula models and adopting a Bayesian estimation process for the copula’s parameter. Based on the records of student’s classifications in (a) Mathematics and (b) Natural Sciences/Physics (of the entrance exam to the University of Campinas, from 2013 to 2015), by means of tail conditional probabilities we predict the performance, of the same students, in Calculus I which is a mandatory subject of the undergraduate course of Statistics, and we compare the conditional probabilities year after year. We see that (a), (b) and Calculus I show maximal trivariate correlations in tail events given by classifications which are jointly high/low in the three subjects. We compare the evolution of the tail conditional probabilities from 2013 to 2015 and, according to our results there has been an improvement (from 2013 to 2015) of at most 12%. This improvement being more incisive in the settings with conditional events given by jointly high classifications in comparison with settings with conditional events given by jointly lower classifications.

scholarly journals A Study on the University Placement System for Gifted Children in Turkey

2019 ◽  
Vol 8 (3) ◽  
pp. 59
Author(s):  
Kamil Arif Kırkıç
Keyword(s):  
Gifted Students ◽  
The United States ◽  
Gifted Children ◽  
College Entrance ◽  
Entrance Exam ◽  
Entrance Exams ◽  
Cross Cultural Comparison ◽  
Step Model ◽  
New Type ◽  
The University

There is no special university entrance exam for gifted students in Turkey. Their only option is to complete the standard university entrance exam at the end of their final year in high school. This system of entrance exams does not benefit gifted students. Other universities around the world support such students in the following two ways: through honor programs and early college entrance systems. This paper examines these two types of programs that support gifted students, and it employs a cross-cultural comparison between Turkey and the United States, China, and Finland. Furthermore, the paper proposes a multi-step model for educating gifted students and for improving the university entrance exam process. The new type of entrance exam that we propose could be employed in Turkey to support gifted students entering university. By implementing the proposed university entrance system, gifted students will become more effective in life for themselves as well as society.

APPLICATION OF MACHINE LEARNING MODELS IN ENROLLMENT AND STUDENT TRAINING AT VIETNAMESE UNIVERSITIES

2020 ◽  
Vol 3 (4) ◽  
pp. 276-287
Author(s):  
The Vinh Tran ◽  
Tran Kim Thanh ◽  
Tran Manh Tuong ◽  
Vu Anh Linh Duy
Keyword(s):  
High School ◽  
Multiple Choice ◽  
High School Graduation ◽  
Education And Training ◽  
Ministry Of Education ◽  
Entrance Exam ◽  
Entrance Exams ◽  
School Graduation ◽  
And Training ◽  
Machine Learning Models

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.

scholarly journals Performance in grade 12 mathematics and science predicts student nurses’ performance in first year science modules at a university in the Western Cape

Curationis ◽  
2017 ◽  
Vol 40 (1) ◽  
Author(s):  
Katlego D.T. Mthimunye ◽  
Felicity M. Daniels
Keyword(s):  
South Africa ◽  
Academic Performance ◽  
Predictive Validity ◽  
Life Science ◽  
Student Nurses ◽  
First Year ◽  
Western Cape ◽  
Cross Sectional ◽  
Mathematics And Science ◽  
First Year Student

Background: The demand for highly qualified and skilled nurses is increasing in South Africa as well as around the world. Having a background in science can create a significant advantage for students wishing to enrol for an undergraduate nursing qualification because nursing as profession is grounded in scientific evidence.Aim: The aim of this study was to investigate the predictive validity of grade 12 mathematics and science on the academic performance of first year student nurses in science modules.Method: A quantitative research method using a cross-sectional predictive design was employed in this study. The participants included first year Bachelor of Nursing students enrolled at a university in the Western Cape, South Africa. Descriptive and inferential statistics were performed to analyse the data by using the IBM Statistical Package for Social Sciences versions 24. Descriptive analysis of all variables was performed as well as the Spearman’s rank correlation test to describe the relationship among the study variables. Standard multiple linear regressions analysis was performed to determine the predictive validity of grade 12 mathematics and science on the academic performance of first year student nurses in science modules.Results: The results of this study showed that grade 12 physical science is not a significant predictor (p > 0.062) of performance in first year science modules. The multiple linear regression revealed that grade 12 mathematics and life science grades explained 37.1% to 38.1% (R2 = 0.381 and adj R2 = 0.371) of the variation in the first year science grade distributions.Conclusion: Based on the results of the study it is evident that performance in grade 12 mathematics (β = 2.997) and life science (β = 3.175) subjects is a significant predictor (p < 0.001) of the performance in first year science modules for student nurses at the university identified for this study.

scholarly journals Effects of Socio-Academic Intervention on Student Performance in Vulnerable Groups

2021 ◽  
Vol 13 (14) ◽  
pp. 7673
Author(s):  
Tarquino Sánchez-Almeida ◽  
David Naranjo ◽  
Raquel Gilar-Corbi ◽  
Jessica Reina
Keyword(s):  
Higher Education ◽  
Academic Performance ◽  
Student Performance ◽  
Academic Intervention ◽  
Vulnerable Groups ◽  
University System ◽  
Higher Education System ◽  
Economic Support ◽  
Support Mechanisms ◽  
The University

In Ecuador, affirmative action policies enable students from vulnerable groups to preferentially enter universities. However, these policies are limited to admission and do not include academic or socio-economic support mechanisms that, according to the literature, promote student insertion in the higher education system. In this study, the effects of socio-academic intervention on the academic performance of vulnerable students are presented. For this, 41 students were selected among 164 vulnerable students entering the Escuela Politécnica Nacional in the second term of 2019. The 41 students attended a socio-academic intervention course for one term, while the remaining 123 attended the Escuela Politécnica Nacional levelling course directly. Once both groups of students finished the levelling course, their performance in each of the course subjects was compared. The results showed that the academic performance of the students in the intervention was significantly higher in mathematics and geometry compared to the students who had no intervention. These results show that the socio-academic intervention promotes the real insertion of vulnerable students in the university system.

Sign in / Sign up

Export Citation Format

Share Document