Investigation into causes of poor academic performance in mathematics among Obafemi Awolowo University undergraduate students, Nigeria

2016 ◽  
Vol 9 (1) ◽  
pp. 11
Author(s):  
Yusuf Feyisara Zakariya ◽  
Emmanuel Folorunso Bamidele
Author(s):  
M. Shahjahan ◽  
Kazi Rumana Ahmed ◽  
Ahmed Al Hadrami ◽  
Md. Rabiul Islam ◽  
Sharmin Hossain ◽  
...  

Poor academic performance is challenging for students, parents, and teachers. This cross-sectional study aimed to determine the factors associated with the poor academic performance of 661 undergraduate students who scored CGPA ≤2.5 from a selected private university of Dhaka City, Bangladesh, using a simple random sampling technique. Data were collected using a pretested and self-administered questionnaire. Of the study participants, male preponderance (88.4%) was found, and 77.9% of them selected the study programs by themselves. Poor academic performance was found significantly correlated with irregular class attendance (p=0.003), father’s low education level (p


Author(s):  
Wahyu Nanda Eka Saputra ◽  
Agus Supriyanto ◽  
Budi Astuti ◽  
Yulia Ayriza ◽  
Sofwan Adiputra

Author(s):  
TMGP Duarte ◽  
AM Lopes ◽  
LFM da Silva

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.


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