Correlating entrance data and first year academic performance of students enrolled in the Integrated Master in Mechanical Engineering at the University of Porto

2021 ◽  
pp. 030641902110156
Author(s):  
TMGP Duarte ◽  
AM Lopes ◽  
LFM da Silva
Keyword(s):  
Academic Performance ◽  
Secondary School ◽  
Undergraduate Students ◽  
Mechanical Engineering ◽  
Institutional Factors ◽  
First Year ◽  
Female Type ◽  
The University ◽  
First Year University ◽  
Over Time

Understanding how the academic performance of first year undergraduate students is influenced by home, personal and institutional factors is fundamental to delineate policies able to mitigate failure. This paper investigates possible correlations between the academic performance of students at the end of high school with their achievements at the end of first year university. Data for students in the Integrated Master in Mechanical Engineering (MIEM) program within the Faculty of Engineering at the University of Porto are analysed for the period 2016/2017 to 2019/2020. The students’ performance is measured by two metrics and the students are structured as a whole and by groups, according to their gender (Male/Female), type of secondary school (Public/Private), living place (Away/Home) and the rank of MIEM in their application list of options (Option 1/Option 2–6). The information is organized statistically and possible correlations between the data are investigated. The analysis reveals limited correlation between the two metrics, meaning that all students may exhibit good or poor results at the end of first year in MIEM, independent of their status at entrance. An unanticipated pattern is exhibited for the group Option 2–6, since it shows that, despite entering into MIEM without top application marks, the students in this group can perform as well as the others. This behavior is consistent over time.

scholarly journals Assessment in First Year University: A Model to Manage Transition

2008 ◽  
Vol 5 (1) ◽  
pp. 23-38
Author(s):  
J. A. Taylor ◽  
Keyword(s):  
Distance Education ◽  
Undergraduate Students ◽  
First Year ◽  
Education Students ◽  
First Year Students ◽  
Specific Content ◽  
The University ◽  
First Year University ◽  
Engineering Computing

For most students assessment guides their study and learning practice. Yet in the literature associated with the first year of study at university, few have mobilised the power of assessment to develop and engage first year undergraduate students. This paper presents a model of assessment for first year students which separates the semester into three overlapping assessment phases: assessment for transition, assessment for development and assessment for achievement. The implementation and usefulness of the model is supported by examples from mathematics, engineering, computing, communication and nursing studies at the University of Southern Queensland (USQ). Particular attention is paid to assessments for transition which occur early in the semester and are linked more closely with processes than specific content. Evidence is collated on the success of assessments in improving the participation of students, especially distance education students.

scholarly journals EXPLORING FIRST YEAR UNIVERSITY STUDENTS’ STATISTICAL LITERACY: A CASE ON DESCRIBING AND VISUALIZING DATA

2021 ◽  
Vol 12 (3) ◽  
pp. 427-448
Author(s):  
Ezra Putranda Setiawan ◽  
Heru Sukoco
Keyword(s):  
University Students ◽  
Data Visualization ◽  
Undergraduate Students ◽  
Descriptive Statistics ◽  
First Year ◽  
Statistical Literacy ◽  
The Difference ◽  
Data Improvement ◽  
The University ◽  
First Year University

Statistical literacy, which is the ability to use statistics in daily life, is an essential skill for facing society 5.0. This study aims to explore first-year university students’ ability to properly use simple descriptive statistics and data visualization. Qualitative data were collected using a set of questions from 39 undergraduate students. Many students were able to calculate various descriptive statistics, but some of them were still unable to determine suitable statistics to describe the data clearly. Related to data visualization, many students failed to provide a meaningful chart that effectively shows the difference between two groups of data. Students with higher statistical literacy tend to use comparison or variability reasoning to determine the usage of descriptive statistics, and use data-based reason in visualizing the data. Improvement in statistical teaching – both in the university and the secondary school – is needed so that the students can use descriptive statistics and data visualization correctly.

scholarly journals Predicting Undergraduate Level Students’ Performance Using Regression

2021 ◽  
Vol 4 (1) ◽  
pp. 129-139
Author(s):  
S Akuma ◽  
H Abakpa
Keyword(s):  
Academic Performance ◽  
Undergraduate Students ◽  
Educational Institutions ◽  
First Year ◽  
Grade Point ◽  
University Environment ◽  
First Semester ◽  
Cumulative Grade Point Average ◽  
Moderating Factors ◽  
The University

Students’ academic performance in the university environment changes from one academic year to another as they climb up the ladder of their academic programme. Predicting students’ academic performance in higher educational institutions is challenging due to the lack of a central database of students’ performance records. The other challenge is the lack of standard methods for predicting students’ performance and other moderating factors like physical, economic and health that affect students’ progress. In this work, we predicted students’ performance based on previous academic results. A model to predict students’ performance based on their Cumulative Grade Point Average (CGPA) was developed using Linear Regression Algorithm. A dataset of 70 undergraduate students studying Computer Science was analyzed and the results show that the model was able to predict the 4th year CGPA of the Students using the previous Cumulative Grade Point of the past three years with an accuracy of 87.84%, and a correlation of 0.9338. This study also identified students’ second semester CGPA in the first year and their first semester CGPA in the second year as the most important CGPAs that affect the accuracy

scholarly journals Bridging the Gap: Understanding the Differing Research Expectations of First-Year Students and Professor

2012 ◽  
Vol 7 (3) ◽  
pp. 4 ◽  
Author(s):  
Meg Raven
Keyword(s):  
Undergraduate Students ◽  
Academic Research ◽  
First Year ◽  
First Year Students ◽  
High Expectations ◽  
Research Students ◽  
Time Required ◽  
Instruction Strategies ◽  
Research Instruction ◽  
The University

Objective: This study sought to better understand the research expectations of first-year students upon beginning university study, and how these expectations differed from those of their professors. Most academic librarians observe that the research expectations of these two groups differ considerably and being able to articulate where these differences are greatest may help us provided more focused instruction, and allow us to work more effectively with professors and student support services. Methods: 317 first-year undergraduate students and 75 professors at Mount Saint Vincent University in Halifax, NS were surveyed to determine what they each expected of first-year student research. Students were surveyed on the first day of term so as to best understand their research expectations as they transitioned from high school to university. Results: The gulf between student and professor research expectations was found to be considerable, especially in areas such as time required for reading and research, and the resources necessary to do research. While students rated their preparedness for university as high, they also had high expectations related to their ability to use non-academic sources. Not unexpectedly, the majority of professors believed that students are not prepared to do university-level research, they do not take enough responsibility for their own learning, they should use more academic research sources, and read twice as much as students believe they should. Conclusions: By better understanding differing research expectations, students can be guided very early in their studies about appropriate academic research practices, and librarians and professors can provide students with improved research instruction. Strategies for working with students, professors and the university community are discussed.

scholarly journals Thai Undergraduate Student Awareness of Regular and Irregular Grapheme-Phoneme Correspondence

2021 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
David D. Perrodin
Keyword(s):  
General Education ◽  
Undergraduate Students ◽  
Private University ◽  
First Year ◽  
Long Term Effects ◽  
Data Set ◽  
English Classes ◽  
Frequency Occurrence ◽  
First Year University ◽  
Letter Sound

<p>Recent events in Thailand in reference to the teaching of phonics for better comprehension of English vocabulary have highlighted the overuse of identifying letter-sound relationships in English by utilizing the familiar Thai orthography to assist developing Thai EFL learners. This paper investigated the long-term effects of using such pedagogy on recognizing regular and irregular Grapheme-Phoneme Correspondences (GPC) in English by Thai undergraduate students. To address this matter, the study used a convenience sampling of 373 first-year university students from 11 general education English classes at a mid-sized private university near Bangkok, Thailand. The familiar English poem <em>I Take It You Already Know</em> was employed for data collection, for it consists of a practical ratio of frequent and infrequent English grapheme-phoneme correspondences. Extensive lists of recognized grapheme-phoneme correspondences were used to identify the frequent or regular, and the infrequent or irregular main phoneme present in each of the 60 most frequently queried content words of the poem. Point-Biserial Correlation was employed to measure the strength of association between the frequency occurrence of the most queried content words from the data set, and the examined weighted word frequency data. The findings suggest that, in general, the Thai undergraduate students demonstrated an overall lack of recognition of regular and irregular Grapheme-Phoneme Correspondences of English. </p>

scholarly journals Motor skills as a predictor of academic performance | La aptitud motriz como predictor del rendimiento académico

2021 ◽  
Vol 14 (28) ◽  
pp. 57-64
Author(s):  
José Eduardo Molina Arriola ◽  
Victor Osiris Rodriguez Cervantes ◽  
Julio Cesar Lozano Flores ◽  
Luis Quintana Rivera ◽  
José Moncada Jimenez ◽  
...  
Keyword(s):  
Academic Performance ◽  
Physical Education ◽  
University Students ◽  
Motor Skills ◽  
Weighted Average ◽  
First Year ◽  
Regression Analyses ◽  
First Year Students ◽  
First Year University ◽  
Estudiantes Universitarios

Este estudio tuvo como objetivo determinar la asociación entre la aptitud motriz de estudiantes universitarios de primer ingreso y su desempeño académico en los dos periodos lectivos de inicio de la carrera de Educación Física, Deporte y Recreación. Participaron 83 voluntarios (Hombres = 60, Mujeres = 23) de la Universidad Veracruzana, México. La aptitud motriz se evaluó con ocho pruebas y el rendimiento académico se midió con el promedio ponderado de dos periodos consecutivos. Los análisis de regresión múltiple mostraron que el salto sin carrera (modelo 1), y gimnasia y encestes de baloncesto (modelo 2) predicen el rendimiento académico. En conclusión, la aptitud motriz predice parcialmente el rendimiento académico en estudiantes de primer ingreso.AbstractThe purpose of this study was to determine the association between the motor skills of first-year university students and their academic performance in the two initial academic terms of the Physical Education, Sports and Recreation degree. Eighty-three volunteers participated (Men = 60, Women = 23) from the Universidad Veracruzana, Mexico. Motor skills were evaluated with eight tests and academic performance was measured with the weighted average of two consecutive terms. Multiple regression analyses showed that standing jumping (model 1), and gymnastics and effective basketball throws (model 2) predicted academic performance. In conclusion, motor skills partially predict academic performance in first-year students

Comparison of Suspension Systems and Chassis of Selected Mars Rovers Analogs with a Focus on Introduced Improvement

2017 ◽  
Vol 260 ◽  
pp. 33-37 ◽  
Author(s):  
Michał Ostaszewski ◽  
Kazimierz Dzierżek
Keyword(s):  
Structural Analysis ◽  
Systems Analysis ◽  
Major Part ◽  
Mechanical Engineering ◽  
Mars Rover ◽  
Suspension Systems ◽  
University Of Technology ◽  
The University ◽  
Mars Exploration Rovers ◽  
Over Time

The article concludes with a thorough evaluation of an usefulness of suspension systems and chassis of Mars Rovers from Bialystok University of Technology and predictions for future Mars rover solutions. A development of technology and ever growing aspirations of mankind resulted in clear progress in the field of Mars exploration rovers. Competitions, involving analogs of Mars rovers, are increasingly more popular among academic societies. The main goal of mentioned initiatives, is to test possible solutions which, over time, may be used in rovers during extraterrestrial missions. The authors focused on a path of a Mars rover analogue development. In the first stage authors analyzed requirements of the University Rover Challenge organized by The Mars Society. Then the article concerns tasks that every modern Mars rover faces during its mission. Next authors considered Mars Rovers analogs designed and built in Faculty of Mechanical Engineering at Bialystok University of Technology. After application’s considerations, authors focused on suspension systems analysis. A major part of the article is a thorough structural analysis of suspension and driving systems of analog Mars rovers build at Faculty of Mechanical Engineering, Bialystok University of Technology [1]. Then there is an comparison of the Curiosity (fig. 1) rover suspension [2] and internal frame with #next Mars Rover.

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