Relationship between Entry Qualifications and Performance in Graduate Education (original) (raw)

Comparison of University Entrance Examination Scores with Graduate Students' GPA and Effects on Students' Success

Choosing talented students is very essential and critical issue for each university. The International Black Sea University (IBSU) uses some measurements to choose and admit students like other universities. Before the National Unified Entrance Examination (NUEE), the Georgia Ministry of Education and Science, asks the IBSU for the coefficients of the Georgian Language, Logic, English Language and Mathematics which were written in this examination. The purpose of the present article is to decide an optimal distribution of these coefficients to accept students to the Faculty of Computer Technologies & Engineering (CT&E) and to the Faculty of Business & Management (B&M). This paper finds and compares correlation between the scores of NUEE and grade point average (GPA) of university diploma of the students of two faculties. Among prior academic achievement measures, University exam scores were examined to predict graduate students' GPA. The correlation and regression analysis indicates that there is low positive correlation between university entrance exam score and university GPA. Optimal weights were found for the given categories of NUEE.

Are Undergraduate GPA and General GRE Percentiles Valid Predictors of Student Performance in an Engineering Graduate Program

International Journal of Engineering Education, 2014

While both subjective measures and quantitative metrics play an important role in admissions decisions, quantitative metrics areamenable to critical analysis using the tools of academic analytics. The hypotheses that motivated this study are: 1. Can anapplicant’s undergraduate grade point average (UGPA) and scores on the Graduate Records Examinations (GRE) be used toaccurately predict the performance of the applicant in a graduate mechanical engineering program? 2. Is a single construct based onthese quantitative predictive metrics valuable tool in efficiently making admissions decisions? This study analyzed the relationshipbetween quantitative predictive metrics, available at the time of application to a mechanical engineering graduate program, andquantitative performance assessments measured at the thesis defense. The sample includes 92 students graduating with MS degreesin mechanical engineering from a private university in the United States. The input variables include UGPA, and...

Investigating the Predictive Ability of Admission GRE Scores on Graduation GPA Scores of Domestic and International Students in Construction Management Graduate School Programs

GRE scores have been part of graduate admission requirements for both domestic and international students in some construction management educational programs in the USA because academic committees tend to believe that it predicts academic performance and success of students. This study assessed the predictive ability of admission GRE scores on cumulative graduation GPA scores of domestic and international graduate students. The hypothesis was that students who scored high in GRE would attain higher graduation GPAs and that there was no difference in performance based on the nationality of students. The independent variables were GRE verbal, GRE quantitative and total GRE scores while the dependent variable was the GPA score. SAS v9.3 statistical analysis software facilitated the analysis of the data obtained from three construction management graduate schools in the USA. The results showed weak predictive indices where GRE quantitative was the better predictor of GPA. Thus, the hyp...

Background Factors Contributing to Performance of Master Course Students - Case Study of Civil Engineering Master Programme

Procedia - Social and Behavioral Sciences, 2012

The objective of this study is to investigate the performance of the postgraduate students from various backgrounds on the basis of the following criteria: country, achievements during undergraduate study, English language requirement and previous work experience. The Civil Engineering Master Programme was taken as a case study. A data set sourced from students' application forms and academic record for three consecutive session intakes, was used. As a measure of the students' performance, Graduate Cumulative Grade Point Average (GCGPA) was considered as the key performance index. The students from Malaysia (28%), Iran (53%) and Iraq (19%) were chosen since their community represents the largest number of students. The mean achievement of all students from Malaysia, Iran and Iraq was comparable (mean GCGPA 3.52-3.60). The largest number of candidates (43.5%) who came into the programme were students with higher than 2.70 but lower than 3.00 of Undergraduate Cumulative Grade Point Average (UCGPA). The decision to continue the master study was most popular to those after 1-4 years of graduation. The extent to which UCGPA contributes towards GCGPA, Malaysian students show a weak relationship but has the strongest correlation than the rest (r=0.331, p<0.05). For Iranian students, work experience becomes very significant (r=0.416, p<0.05). The results also indicate that English proficiency affects students performance. It is indicated that correlation between work experience and GCGPA differs for students with and without TOEFL/IELTS scores. It is hoped that the results of this work can help in a more detailed study for determining the entry requirements for students seeking admission to the master course programmes.

The Influence of University Entrance Examination Results, Gender and Field of Study on Semester Cumulative Grade-point Averages (CGPAs) of First Year Students: The Case of Raya University

2019

The purpose of this study was to assess the influence of university entrance examination results, gender and field of study on semester CGPA score of freshman students. A descriptive research design was employed for the present study. For the study 200 participants (119 males and 81 females) were selected through stratified random sampling technique. The data were gathered mainly from secondary sources found in the registrar office of Raya University. Descriptive statistics, Spearman correlation, multiple regression and Independent samples T-tests were applied to analyze the data. Sex of students (0=female and 1=male) had a statistically significant relationship with semester CGPA scores; university entrance exam results and field of study revealed very weak positive and statistically non-significant relationship with semester CGPA scores. Multiple regression model selected sex and university entrance examination results as statistically significant predictors of semester CGPA score...

Student Profile Of The Incoming First Year Class Of The College Of Engineering At Uprm And Their Academic Performance After Their First Year

2005 Annual Conference Proceedings

This work presents the student profile for the first year class of the College of Engineering at the University of Puerto Rico in Mayagüez (UPRM) during the period of 1990-2003. The profile includes variables such as: gender, school type (public or private), geographic location of high school, scores from five College Entrance Examination Board (CEEB) tests, high school grade point average (GPA), and the first year GPA (FYGPA). The execution of the students after the first year, as represented by the FYGPA, is related to the CEEB tests scores and the high school GPA. This model is stratified by gender and school type. A comparison between actual admission criteria and suggested alternative criteria is also presented. This longitudinal comparison is carried out to evaluate proposed changes in admission criteria in the future.

Testing the Validity of GRE Scores on Predicting Graduate Performance for National and International Engineering Students

Acta de Investigación Psicológica

Numerous research studies have examined the validity of GRE scores in predicting graduate success, however, some limitations still exist. This study targeted graduate engineering programs and investigated the validity of GRE scores in predicting graduate engineering GPA (GGPA). In addition, the differences in the validity of GRE scores between American and international students and between masters’ and doctoral students were compared. The GRE’s incremental predictive ability over undergraduate GPA (UGPA) and TOEFL scores was examined. Data were obtained from 1083 students from the engineering programs in a large, comprehensive midwestern university. Results indicated that GRE was useful in forecasting GGPA of graduate engineering students. The GRE scores explained more criterion variance for American students than for international students, but statistically significant differences were only found when GRE-Quantitative predicted GGPA. The GRE-Verbal and GRE-Quantitative scores had...

A STUDY TO INVESTIGATE RELATIONSHIP OF ACADEMIC SCORES AT ENTRY LEVEL AND EXIT LEVEL OF GRADUATION PROGRAM

Utkal Publication, 2021

Machine learning is well known term, very much useful to develop models for solving real life problems. It uses data and come with facts using which decisions can be taken. This study, aim to find the relationship between higher secondary level subjects the students selected and the final grade obtained at the end of six semester course at university level. Analysis was carried out using classifiers with the Weka software. The Sample size 128 treated using WEKA tool for data analysis. PART, JRip, and Decision Table algorithms used to evaluate data. Outcomes shows 92.1875% accuracy with PART with 8 rules.