Student demographic characteristics and how they relate to student achievement

Green, Linda; Celkan, Gul

doi:10.1016/j.sbspro.2011.03.098

Cited by 8 publications

(5 citation statements)

References 1 publication

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“…Demographic information, such as district and province of residence, also influences the ranking outcome. Green & Celkan (2011) also found that demographic characteristics correlate with academic performance. A demographic inventory reveals students' educational backgrounds.…”

Section: Feature Importancementioning

confidence: 89%

Predicting graduation grades using Machine Learning: A case study of Can Tho University students

Nguyen,

Huynh,

Nguyen

2023

CTU J. of Inn. & Sus. Dev.

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A number of factors influence a student's attainment of graduation. Besides scholastic performance within the academic curriculum, other variables such as living circumstances, gender, and choice of major significantly contribute to the probability of achieving graduation. The capacity to forecast academic performance at the time of graduation holds profound importance for universities, especially in discerning the influential factors that contribute to a student's successful completion of their educational pursuits. This study employs multiple machine learning algorithms, including K-nearest neighbor, Neural network, Decision tree, Random forest, and Gradient boosting, to prognosticate the graduation outcomes of 7,837 undergraduate students from Can Tho University during the academic year 2022. These selected students were enrolled in 16 colleges and institutes affiliated with Can Tho University. The efficacy of the employed algorithms was assessed through performance evaluation metrics encompassing accuracy, precision, recall, and F-measure. Furthermore, a 15-fold cross-validation technique was employed for validation. The findings revealed that the Random forest model yielded the most reliable predictions. The factors that significantly impact graduation grades comprise GPA, training point, residential address, college, major, and gender. Based on the experimental findings, these factors were ranked to ascertain their effects on student graduation.

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Section: Feature Importancementioning

confidence: 89%

Predicting graduation grades using Machine Learning: A case study of Can Tho University students

Nguyen,

Huynh,

Nguyen

2023

CTU J. of Inn. & Sus. Dev.

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“…According to some scholars (e.g., Ganyaupfu 2013;Mashayekhi et al 2014;Naqvi et al 2018;Rahim and Meon 2013), study skills constitute one of the student-related factors affecting academic achievement. In the same vein, personal conditions and characteristics such as gender, age, marital status, level of education, employment status, students' intellectual ability, physical and mental health, and level of motivation have also been highlighted by several studies as student-related factors shaping their achievement at university (e.g., Alhajraf and Alasfour 2014;Christopher and Redempta 2016;Ganyaupfu 2013;Green and Celkan 2011;Rahim and Meon 2013). This study examines the interplay between study skills and personal characteristics.…”

Section: Introductionmentioning

confidence: 95%

“…In higher education, students are expected to demonstrate a high level of success. However, students sometimes fall short of meeting this expectation (Green and Celkan 2011). Several studies (e.g., Ganyaupfu 2013;Nuthana and Yenagi 2009;Sabbah 2016) have identified internal and external factors contributing significantly to the undergraduates' academic achievement.…”

Section: Introductionmentioning

confidence: 99%

Variability of study skills in higher education: The case of Rwanda undergraduate students at National Police College

Mukingambeho

Nzahabwanayo

Gabriel

et al. 2021

SAJHE

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This study extends knowledge production about students' study skills in higher education. It is intended to unpack variations among undergraduate students' study skills based on demographic characteristics. The article uses a comparative cross-sectional design drawing on a survey questionnaire distributed among 398 students of three programs of study at the University of Rwanda (UR), National Police College (NPC). These are Professional Police Studies (PPS), Law and Computer Science (CS) with the option of Information Security. Results indicate that students' features primarily gender, age, marital status, year of study, program of study and working experience are relevant categories to study skills. These features were found to have an effect on all study skills investigated except gender which influence test preparation and test-taking only.We argue that strategies for improving study skills at all levels of higher education should take cognizance of students' demographic features.

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“…The literature illustrates that specific factors of age, gender, nationality, and high school significantly influence student performance and satisfaction in school or university (Green & Celkan, 2011;Nawa et al, 2020;Schreiber et al, 2017). Yousef (2019) conducted research focused on the academic and demographic factors impacting student academic performance.…”

Section: Demographic Factors and Impact On Academic Performancementioning

confidence: 99%

The effects of attendance and high school GPA on student performance in first-year undergraduate courses

et al. 2021

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Research has established that class attendance and High School Grade Point Average (HSGPA) play a significant role in student academic success in higher education. The study uses census data and records of 969 undergraduate students at Qatar University to investigate the impact of HSGPA, attendance, and sociodemographic factors on academic performance in higher education in DFW courses (grades D, F, or withdrawal). Findings indicate that increased attendance decreases the likelihood of getting DFW, and there was a strong negative relationship between high-school performance and the probability of getting DFW. This study highlights the importance of class attendance in a four-year institution and that high school academic performance acts as a foundation for their performance in a higher educational institute. These findings open pathways for modifications of institutional policies governing institutional academic decisions.

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Student demographic characteristics and how they relate to student achievement

Cited by 8 publications

References 1 publication

Predicting graduation grades using Machine Learning: A case study of Can Tho University students

Predicting graduation grades using Machine Learning: A case study of Can Tho University students

Variability of study skills in higher education: The case of Rwanda undergraduate students at National Police College

The effects of attendance and high school GPA on student performance in first-year undergraduate courses

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