scholarly journals A Division III Study: Does Being a Collegiate Athlete Cause Lower GPAs, While Also Causing Negative Treatment in the Classroom by Other Students?

2019 ◽  
Author(s):  
Gabriela Tanaka
Keyword(s):  
Academic Performance ◽  
Liberal Arts ◽  
Division Iii ◽  
Collegiate Athlete ◽  
Data Set ◽  
The Relationship

There are many debates about the relationship between athletics and academic performance in the American liberal arts system. This study proposes that there is a negative treatment of athletes by other students in the classroom. It also reveals that athletes have lower GPAs than non-athletes. Using a data set collected at Skidmore College in 2006, these questions are analyzed. This study investigates the degree to which athletes perform compared to non-athletes and their treatment by other students. The sample had 361 valid respondents of whom 50 percent were athletes, and 66 percent of the sample were women. The results demonstrate that athletes, on the whole, have lower GPAs than non-athletes. It also shows that women have higher GPAs than men, which was expected. Based on the findings at Skidmore College in 2006, students did not feel that they were treated poorly by other students just because they were athletes. The data confirms the first hypothesis which stated that on average athletes will have lower GPAs than non-athletes. However, the second hypothesis that athletes were more likely to agree that athletes are treated more poorly than non-athletes was not supported by the data.

scholarly journals The Negative Effect of Smartphone Use on Academic Performance May Be Overestimated: Evidence From a 2-Year Panel Study

2020 ◽  
Vol 31 (11) ◽  
pp. 1351-1362
Author(s):  
Andreas Bjerre-Nielsen ◽  
Asger Andersen ◽  
Kelton Minor ◽  
David Dreyer Lassen
Keyword(s):  
Academic Performance ◽  
Fixed Effects ◽  
Panel Study ◽  
Student Characteristics ◽  
Fixed Effects Model ◽  
Data Set ◽  
Course Characteristics ◽  
Negative Effect ◽  
Smartphone Use ◽  
The Relationship

In this study, we monitored 470 university students’ smartphone usage continuously over 2 years to assess the relationship between in-class smartphone use and academic performance. We used a novel data set in which smartphone use and grades were recorded across multiple courses, allowing us to examine this relationship at the student level and the student-in-course level. In accordance with the existing literature, our results showed that students’ in-class smartphone use was negatively associated with their grades, even when we controlled for a broad range of observed student characteristics. However, the magnitude of the association decreased substantially in a fixed-effects model, which leveraged the panel structure of the data to control for all stable student and course characteristics, including those not observed by researchers. This suggests that the size of the effect of smartphone usage on academic performance has been overestimated in studies that controlled for only observed student characteristics.

Exploring students digital activities and performances through their activities logged in learning management system using educational data mining approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adel Bessadok ◽  
Ehab Abouzinadah ◽  
Osama Rabie
Keyword(s):  
Data Mining ◽  
Academic Performance ◽  
Management System ◽  
Learning Management System ◽  
Statistical Significance ◽  
Educational Data Mining ◽  
Data Set ◽  
Content Type ◽  
Learning Management ◽  
The Relationship

Purpose This paper aims to investigate the relationship between the students’ digital activities and their academic performance through two stages. In the first stage, students’ digital activities were studied and clustered based on the attributes of their activity log of learning management system (LMS) data set. In the second stage, the significance of the relationship between these profiles and the associated academic performance was tested statistically. Design/methodology/approach The LMS delivers E-learning courses and keeps track of the students’ activities. Investigating these students’ digital activities became a real challenge. The diversity of students’ involvement in the learning process was proven through the LMS which characterize students’ specific profiles. The Educational Data Mining (EDM) approach was used to discover students’ learning profiles and associated academic performances, where the activity log file exemplified their activities hosted in the LMS. The sample study data is from an undergraduate e-course hosted on the platform of Blackboard LMS offered at a Saudi University during the first semester of the 2019–2020 academic year. The chosen undergraduate course had 25 sections, and the students attending came from science, technology, engineering and math background. Findings Results show three clusters based on the digital activities of the students. The correlation test shows the statistical significance and proves the effect of the student’s profile on his academic performance. The data analysis shows that students with different profiles can still get similar academic performance using LMS. Originality/value This empirical study emphasizes the importance of the EDM approach using clustering techniques which can help the instructor understand how students use the provided LMS content to learn and then can deliver them the best educational experience.

Teacher Professional Training and Student Academic Performance at an University from Lima, 2016 [Formación Profesional Docente y Rendimiento Académico en Estudiantes de una Universidad de Lima, 2016]

2019 ◽  
Vol 1 (2) ◽  
pp. 116
Author(s):  
Jorge Luis Torres Ugaz
Keyword(s):  
Veterinary Medicine ◽  
Academic Performance ◽  
Educational System ◽  
Professional Training ◽  
Student Academic Performance ◽  
Teacher Professional ◽  
Study Methodology ◽  
The Relationship

This work emphasizes the teaching work in the progress of the educational system. The objective was to determine the relationship between the Teacher Professional Training and the Academic Performance of the students of Veterinary Medicine and Zootechnics of an University of Lima, Perú. The study methodology was correlational, the sample was 6 teachers and 72 students. The teachers were surveyed and the students were evaluated through the minutes. A mean and direct correlation of 44.05% was obtained between the variables studied.

Resilient Factors in Students with Disabilities

2018 ◽  
Vol 5 (2) ◽  
pp. 23 ◽  
Author(s):  
Gustavo Rafael Escobar Delgado ◽  
Anicia Katherine Tarazona Meza ◽  
Andy Einstein García García
Keyword(s):  
Academic Performance ◽  
Students With Disabilities ◽  
Latin American ◽  
Descriptive Study ◽  
The Other ◽  
Disabled Students ◽  
Low Performance ◽  
The Relationship ◽  
Latin American Population

The research analyzes the relationship between factors of resilience and academic performance in disabled students studying at the Technical University of Manabí. It is a correlational descriptive study conducted with a population of 88 disabled students, of which two groups were selected, one with high academic performance and the other with low performance. A questionnaire was designed and applied to determine the level of quality of life and risk factors of adolescents. Resilience was measured with the SV-RES scale created for the Latin American population.

The Relationship of University Students' Sleep Habits and Academic Motivation

NASPA Journal ◽  
2006 ◽  
Vol 43 (3) ◽  
Author(s):  
Kellah M. Edens
Keyword(s):  
College Students ◽  
Academic Performance ◽  
Goal Orientation ◽  
Self Efficacy ◽  
Academic Motivation ◽  
College Health ◽  
Sleep Habits ◽  
Lack Of Sleep ◽  
Relationship Of ◽  
The Relationship

College students are sleeping less during the week than reported a few years ago. Lack of sleep among college students has been identified as one of the top three healthrelated impediments to academic performance by the American College Health Association’s National College Health Assessment survey; and it is associated with lower grades, incompletion of courses, as well as negative moods. This research examines the underlying dynamics of lack of sleep on academic motivation, a key predictor of academic performance. Specifically, the relationship of sleep habits with self-efficacy, performance versus mastery goal orientation, persistence, and tendency to procrastinate were investigated. Findings indicate that 42% of the participants (159 students out of a total of 377) experience excessive daytime sleepiness (EDS); and those identified with EDS tend: (1) to be motivated by performance goals rather than mastery goals; (2) to engage in procrastination (a self-handicapping strategy) to a greater extent than students who are rested; and (3) to have decreased self-efficacy, as compared to students not reporting EDS. Several recommendations for campus health professionals to consider for a Healthy Campus Initiative are made based on the findings.

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