scholarly journals The Impact of Employment during School on College Student Academic Performance

2008 ◽  
Author(s):  
Jeffrey DeSimone
2008 ◽  
Author(s):  
Joseph R. Scotti ◽  
Brittany Joseph ◽  
Christa Haines ◽  
Courtney Lanham ◽  
Vanessa Jacoby

2016 ◽  
Vol 18 (2) ◽  
pp. 35-50 ◽  
Author(s):  
Youssef Harrath ◽  
Hadeel Alobaidy

The purpose of this research is to study the impact of Social Networking Sites on student academic performance. An online survey was conducted and 628 students of University of Bahrain replied. This research studies and explores the relationships between the use of SNS and students' academic performance. The survey questions (21) were grouped into 8 variables that identify the interest that the students draw from SNS. Furthermore, these variables aim to show the effects of SNS on students' academic performance and the futuristic online and offline paradigms that can enhance teaching methodology. The Statistical Package for Social Sciences (SPSS) was used to analyse the collected data and find correlations between SNS and the students' academic performance. From this research it was found that the SNS have positive and negative impacts on student academic performance. At the end, the authors came up with fruitful recommendations on how to get benefit from the SNS to improve the learning process.


2021 ◽  
Vol 12 ◽  
Author(s):  
Karla Lobos Peña ◽  
Claudio Bustos-Navarrete ◽  
Rubia Cobo-Rendón ◽  
Carolyn Fernández Branada ◽  
Carola Bruna Jofré ◽  
...  

Due to COVID-19, universities have been facing challenges in generating the best possible experience for students with online academic training programs. To analyze professors' expectations about online education and relate them to student academic performance during the COVID-19 pandemic, and considering the socio-demographic, entry, and prior university performance variables of students. A prospective longitudinal design was used to analyze the expectations of 546 professors (54.8% male) in T1. In T2, the impact of the expectations of 382 of these professors (57.6% men) was analyzed, who taught courses during the first semester to a total of 14,838 university students (44.6% men). Professors' expectations and their previous experience of online courses were obtained during T1, and the students' academic information was obtained in T2. A questionnaire examining the Expectations toward Virtual Education in Higher Education for Professors was used. 84.9% of the professors were considered to have moderate to high skills for online courses. Differences in expectations were found according to the professors' training level. The professors' self-efficacy for online education, institutional engagement, and academic planning had the highest scores. The expectations of professors did not directly change the academic performance of students; however, a moderating effect of professor's expectations was identified in the previous student academic performance relationship on their current academic performance.


Author(s):  
Youssef Harrath ◽  
Hadeel Alobaidy

The purpose of this research is to study the impact of Social Networking Sites on student academic performance. An online survey was conducted and 628 students of University of Bahrain replied. This research studies and explores the relationships between the use of SNS and students' academic performance. The survey questions (21) were grouped into 8 variables that identify the interest that the students draw from SNS. Furthermore, these variables aim to show the effects of SNS on students' academic performance and the futuristic online and offline paradigms that can enhance teaching methodology. The Statistical Package for Social Sciences (SPSS) was used to analyse the collected data and find correlations between SNS and the students' academic performance. From this research it was found that the SNS have positive and negative impacts on student academic performance. At the end, the authors came up with fruitful recommendations on how to get benefit from the SNS to improve the learning process.


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