The impact of student attendance on assessment specific performance in sport degree programs

Gough, Lewis A.; Duffell, Thomas; Eustace, S

doi:10.1016/j.jhlste.2021.100323

Cited by 5 publications

(4 citation statements)

References 17 publications

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“…e segmentation process identifies the features and produces extracted features for the teachers. Teachers utilize the data to improve teaching and skills that enhance the efficacy of the online sports education system [14,15]. Based on the above discussion, the major contribution of the work is enlisted as follows:…”

Section: Introductionmentioning

confidence: 99%

Construction of Online Teaching Mode of College Sports Based on Neural Network Technology

Qiao

Xia

He³

2022

International Transactions on Electrical Energy Systems

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Online teaching is becoming familiar in recent days for bridging the educational gap and long-distance coverage. The online teaching modes provide better visualization and representation of different subjects, including sports and physical education classes. Data-to-representation provides a better teaching model without interrupting the knowledge-based performance. For leveraging this feature, this article introduces a Conveyance-dependent Teaching Mode (CTM) paradigm. The proposed paradigm employs neural learning to improve the performance of different online sports sessions. This learning assigns rewards for different training modes based on student assessment and data representation. The flawless data and student performance assessments are balanced for improving teaching modes. The reward is updated using the sports curriculum, teacher recommendations, and student interests. Based on the assessment, the rewards are identified using the activation function. This generates the rewards for different sports training sessions improving the data accuracy. Further metrics such as representation, analysis rate, and time factors are verified to improve the performance of the proposed paradigm.

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Section: Introductionmentioning

confidence: 99%

Construction of Online Teaching Mode of College Sports Based on Neural Network Technology

Qiao

Xia

He³

2022

International Transactions on Electrical Energy Systems

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“…The methodologies used in the literature to analyse the relationship between class attendance and students' academic performance can be classified into three groups (Karnik et al, 2020). The first group includes studies that use correlations to examine the linear relationship between these two variables (Credé et al, 2010;Gough et al, 2021). The second group consists of research based on panel data (Rodgers, 2001;Latif & Miles, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Using linear regression models, studies that have examined the effects of class attendance on students' academic performance have considered various time periods to investigate the phenomenon. Specifically, some articles analyse individual courses (Romer, 1993), multiple courses (Maloney & Lally, 1998;Gough et al, 2021), a complete academic year (Moore, 2006;Bijmans & Schakel, 2018), and the entirety of courses in a degree programme within a single academic year (Méndez & Crespo, 2021). However, to the best of our knowledge, we have not found any existing literature investigating the entirety of courses in a degree programme during a single semester.…”

Section: Literature Reviewmentioning

confidence: 99%

Attendance and Academic Performance in University Studies in Tourism

Serrano,

Postigo,

Janoc

2024

TNER

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Academic literature has extensively studied the relationship between classroom attendance and academic performance in higher education. However, there is a lack of specific studies on higher education in tourism. To address this gap, this study investigates the correlation between class attendance and grades achieved by students in the Tourism Degree programme at the University of Zaragoza. The research incorporates variables of interest such as gender, academic year and course repetition, significantly contributing to the proposed predictive model. The subgroup analysis shows that women and students who do not repeat courses exhibit higher attendance rates and achieve better academic outcomes. Class attendance and course repetition are the most influential factors affecting students’ final grades.

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“…The implementation of virtual technologies in higher educational institutions in Kazakhstan has faced various problems. These problems include insufficient technical resources and infrastructure, the need to train teachers and update the education strategy, as well as issues of data security and confidentiality (Abdallah & Alkhrabsheh, 2019;Gough, Duffell, & Eustace, 2021). High-tech countries have largely overcome these barriers since the innovation process began much earlier (Samonina, 2021).…”

Section: Introductionmentioning

confidence: 99%

Virtual Reality Technology as a Factor to Improve University Sports

Turdaliyev,

Botagariyev,

Ryskaliyev

et al. 2023

Retos

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The development of innovative means for university sports teaching is a growing research topic today. This study aims to determine the effect of the VR-assisted instruction on student performance in 10 sport disciplines across three universities in Western Kazakhstan. The study sample had 210 students from three different universities in Western Kazakhstan. The correlation analysis revealed a strong relationship of VR-assisted training with higher performance at the city tournament and the higher quality of the sports practice work. The proposed solution allows universities to create an effective training program for student-athletes. Key words: effectiveness; sport; student; technology; university; VR

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The impact of student attendance on assessment specific performance in sport degree programs

Cited by 5 publications

References 17 publications

Construction of Online Teaching Mode of College Sports Based on Neural Network Technology

Construction of Online Teaching Mode of College Sports Based on Neural Network Technology

Attendance and Academic Performance in University Studies in Tourism

Virtual Reality Technology as a Factor to Improve University Sports

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