How does the smartphone usage of college students affect academic performance?

Han, Sunyoung; Yi, Yong Jeong

doi:10.1111/jcal.12306

Cited by 69 publications

(77 citation statements)

References 48 publications

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“…The fifth-generation era, or 5G as known commonly, will have a cogent influence on the functioning of smartphones in terms of speed, accessibility, and connectivity. As suggested by Han and Yi [4], students using smartphone-based communication were likely to display better academic performance. Chou and Liu [63] worked on the technology-mediated virtual learning environment and its impact on students learning.…”

Section: Warp-speed Processing (Wsp) and Student Performancementioning

confidence: 85%

“…The research design of the undertaken study is quantitative and cross-sectional, and data was collected through a modified structured questionnaire. The items of considered variables were adapted from Han and Yi [4], Ahmed et al [35,106], Chen and Chang [90], Mathwick et al [39], Çizmeci and Ercan [42], Kumar [54], Goldenberg et al [84], Zhang and Mao [88], and Saroha and Diwan [91], etc. We used a five-point Likert scale, and responses were collected from ten universities of Karachi, the respondents were enrolled in undergraduate, graduate, postgraduate, and professional degree programs.…”

Section: Research Design and Selection Of Measurement Scalesmentioning

confidence: 99%

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Smartphone Use and Academic Performance of University Students: A Mediation and Moderation Analysis

et al. 2020

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The purpose of the undertaken study is to examine the influence of smartphones on the performance of university students in Pakistan. This paper also investigates the functions of a smartphone as exogenous predictors such as smartphone applications, multimedia messaging service (MMS), short message service (SMS), warp-speed processing, and entertainment on the academic performance of a student. This paper also addresses the impact of electronic word of mouth (eWOM) and attitude as mediating variables between exogenous and endogenous variables. Finally, we incorporated technology and addiction as moderating variables between independent variables and the outcome variable to measure the influence of moderating variables. We have taken 684 responses from seven universities in Pakistan and employed the SEM-based multivariate approach for the analysis of the data. The findings of this paper demonstrate that smartphone functions have a significant influence on students’ academic performance, and moderating and mediating variables also have a significant influence on exogenous and endogenous variables. The practical implications have provided a guideline for university teachers, parents, and decision-makers of how a smartphone could be used to improve student academic performance inside and outside university campuses.

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Section: Warp-speed Processing (Wsp) and Student Performancementioning

confidence: 85%

Section: Research Design and Selection Of Measurement Scalesmentioning

confidence: 99%

Smartphone Use and Academic Performance of University Students: A Mediation and Moderation Analysis

et al. 2020

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“…The technology that is increasingly being developed is a technology using smartphones (Anshari & Almunawar, 2017). The use of smartphones in learning activities can affect student academic performance (Han, 2018). Students show a positive attitude when learning using a smartphone and this makes it easier for students in the learning process (Zan, 2015).…”

Section: Introductionmentioning

confidence: 99%

Augmented Reality-based Media on Molecular Hybridization Concepts Learning

Irwansyah

Asyiah

Farida

2019

Tadris

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Students' problems in understanding of the hybridization process need to be overcome by using interactive media. Therefore, this study aimed to analyze the results of the validation test and the feasibility test of learning media based on Augmented Reality (AR) on the concept of hybridization. The research method used was the Design-based Research (DBR) method based on technology that supports the learning process within two stages, namely the analysis stage and the design and development stage. Data collecting instruments used were a validation test questionnaire and a limited trial sheet. The media was validated by 3 expert lecturers and 10 respondents of Chemical Education Department students at UIN Sunan Gunung Djati Bandung, Indonesia. Overall validation test results obtained an average value of robserved of 0.88. The validation test obtained a value above 0.30, which showed that the learning media was valid and can be used for the limited trial. The limited trial obtained an average value of 88.59 % within a feasible category. This research concluded that AR learning media on the concept of hybridization is appropriate to be used as teaching material in the learning.

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“…Their findings showed that online resources had a significant impact on learning. Han and Yi investigated the positive effects of using a smartphone by college students to improve their academic performance. They identified that positive behavioral intention to use smartphones positively influences perceived academic performances.…”

Section: State‐of‐the‐artmentioning

confidence: 99%

Optical fog‐assisted smart learning framework to enhance students’ employability in engineering education

Sood

Singh

2019

Comp Applic In Engineering

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In the present scenario, the state of engineering education worldwide is facing a big challenge of the employability of graduates. Cloud computing technology has changed the educational landscape by allowing educators and administrators to shift to the cloud for making actionable decisions. In this paper, a smart learning framework is proposed where universities/colleges can advocate the management of employability enhancement and start skill-set enhancement courses through e-learning. This proposed framework monitors the academic/skill data of students to classify their employability at the early stage of graduation. In addition, an algorithm is proposed for skill-set assessment to find various clusters of students who lack in required skill-set. The predicted clusters of students can be offered opportunities to improve their required skill-set through e-learning. Further, we used the design science research methodology for conducting online courses. Moreover, the prediction of resource usage of the proposed e-learning framework is calculated to improve its effectiveness. In our experiment, results show that our proposed hybrid classier achieves 96.45% accuracy of classification. The prediction of resource usage offers better opportunities for adaptive resource elasticity. The results depict that by introducing the proposed framework in engineering education; more effective decisions can be made to improve the employability and overall growth of students. K E Y W O R D S employability enhancement, fog/cloud computing, optical network, resource usage pattern prediction, skill-set assessment, smart learning 1 | INTRODUCTION Universities/colleges are under great pressure to make the youth ready for jobs since the market demands for skilled workers. The education system throughout the world requires a smart system that can be monitored, controlled, quantitatively measured, and continuously improved with the collaboration of universities/ learning centers to enhance students' employability potential during their early years of graduation. Students' employability depends on a variety of features, such as marks obtained in high school, diploma, graduation, etc., extra technical competence, or other relevant information [29]. The information collected from various resources regarding their features is to be accurate, well-timed and precise.As it may be seen in the next references along with this article, according to authors [1,3,4,10,35,37,38,40,41], today's technology is capable of improving students' skills towards employability through e-learning. It consists of multiple skill-set service providers such as learning centers, recruitment companies, institutions, and private training centers, etc. It provides a personally customized and effective educational environment that reduces the gap between students' skill-set and industry demand at multiple employability parameters, such as aptitude, reasoning, communication, technical/professional certifications, etc.The potential of cloud computing encourages education syste...

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How does the smartphone usage of college students affect academic performance?

Cited by 69 publications

References 48 publications

Smartphone Use and Academic Performance of University Students: A Mediation and Moderation Analysis

Smartphone Use and Academic Performance of University Students: A Mediation and Moderation Analysis

Augmented Reality-based Media on Molecular Hybridization Concepts Learning

Optical fog‐assisted smart learning framework to enhance students’ employability in engineering education

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