scholarly journals The Impact of Computer Literacy Training on the Academic Performance of First Year Student in the University of Zululand, Kwadlangezwa, South Africa

2018 ◽  
Vol 21 (1-3) ◽  
pp. 48-56
Author(s):  
Dev Datt Tewari ◽  
Keyword(s):  
South Africa ◽  
Academic Performance ◽  
Computer Literacy ◽  
First Year ◽  
Literacy Training ◽  
The University ◽  
The Impact ◽  
First Year Student

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.

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.

The Impact of On-campus Student Growth on First-year Student Engagement and Success

2007 ◽  
Vol 48 (8) ◽  
pp. 941-966 ◽  
Author(s):  
Steven M. LaNasa ◽  
Elizabeth Olson ◽  
Natalie Alleman
Keyword(s):  
Student Engagement ◽  
Student Growth ◽  
First Year ◽  
The Impact ◽  
First Year Student

scholarly journals Analysis of the Impact of Formal Peer-led Study Groups on First-year Student Math Performance

2020 ◽  
Author(s):  
John Reisel ◽  
Marissa Jablonski ◽  
Ethan Munson ◽  
Hossein Hosseini
Keyword(s):  
Study Groups ◽  
Math Performance ◽  
First Year ◽  
The Impact ◽  
First Year Student

scholarly journals The ‘Double Transition’ for First-Year Students: Understanding the Impact of Covid-19 on South Africa’s First-Year University Students

2021 ◽  
Vol 9 (1) ◽  
pp. 77-92
Author(s):  
Annsilla Nyar
Keyword(s):  
University Students ◽  
First Year ◽  
First Year Students ◽  
Student Transition ◽  
Double Transition ◽  
First Year University ◽  
The Impact ◽  
Academic Cycle ◽  
Special Category ◽  
First Year Student

While all students are affected by the advent of the Covid‑19 pandemic, the first‑year student population remains a special category of vulnerability for higher education. This is on account of the way the Covid‑19 pandemic has disrupted their transition into university and complicated the nature of their entry into and through the formal academic cycle. This article uses the notion of a ‘double transition’ as a framework for positioning and locating the first‑year student transition within the context of the prevailing Covid‑19 pandemic. ‘Double transition’ refers to an additional transition coupled with that of the first‑year transition, with regard to the extraordinary situation of students navigating their entry into the unfamiliar terrain of academia while simultaneously navigating the Covid‑19 pandemic. The article provides a circumscribed summary of the effects of Covid‑19 on university students and looks to describe and explain the nature and shape of first‑year transitions in relation to the transition necessitated by the Covid‑19 pandemic. It concludes with four key strategies for supporting first‑year students as the pandemic continues.

scholarly journals The impact of maths support tutorials on mathematics confidence and academic performance in a cohort of HE Animal Science students

2014 ◽  
Author(s):  
Nieky van Veggel ◽  
Jonathan Amory
Keyword(s):  
Academic Performance ◽  
Student Experiences ◽  
First Year ◽  
Science Students ◽  
Group Discussions ◽  
Animal Science ◽  
Mathematics Confidence ◽  
Management Students ◽  
The Impact ◽  
Insight Into

Students embarking on a bioscience degree course, such as Animal Science, often do not have sufficient experience in mathematics. However, mathematics form an essential and integral part of any bioscience degree and are essential to enhance employability. This paper presents the findings of a project looking at the effect of mathematics tutorials on a cohort of first year animal science and management students. The results of a questionnaire, focus group discussions and academic performance analysis indicate that small group tutorials enhance students’ confidence in maths and improve students’ academic performance. Furthermore, student feedback on the tutorial programme provides a deeper insight into student experiences and the value students assign to the tutorials.

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