An Assessment of Students’ Satisfaction Level from Learning Management Systems: Case Study of Payamnoor and Farhangian Universities

Shayan, Parisa; Iscioglu, Ersun

doi:10.48084/etasr.1041

Cited by 8 publications

(6 citation statements)

References 14 publications

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“…The performance impact is the result of formal education where students, learners, facilitators, and institutes have accomplished their academic objectives ( 28 ). Regarding Shayan and Iscioglu ( 93 ), social media in the fields of scientific studies keeps manipulating learners' academic accomplishments. The outcomes of satisfied use of educational technology (including Twitter and Facebook) Sayaf et al ( 94 ) supports student understanding and learning ( 88 ).…”

Section: Research Model and Hypotheses Developmentmentioning

confidence: 99%

Social media use in higher education: Building a structural equation model for student satisfaction and performance

Al-Rahmi

Shamsuddin²,

Wahab³

et al. 2022

Front. Public Health

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Social media utilization at the student-level has become more prevalent contemporary higher education. Hence, this study is aimed at developing a specific model, along with the behavioral intention to use, to explore educational quality, actual social media use, and task-technology fit that affects student satisfaction and performance impact through examining the synergies of constructivism, user acceptance and usage of information technology, and technology acceptance. To test, a survey was administered to 430 students across five Malaysian universities. Through structural equation modeling, findings indicate that to improve student satisfaction and student performance through embedded social media, students need to have opportunities to collaborate on learning, have easy access to social media, perceive such use to be easy, and have aligned expectation on performance and effort. Interestingly, the actual social media use, was the only variable in the model that did not predict student satisfaction, despite its role in predicting student performance. The study highlights that constructivist learning, as well as task-technology fit over social media, enhances the students' learning experience and enables knowledge sharing and dissemination. The effect of using social media on student satisfaction and academic performance highlights that all students think that it is adequate for their instructors to improve their usage of social media tools. Therefore, we advocate learners and students employing social media for academic purposes with the help of lecturers at higher teaching organizations and institutions.

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Section: Research Model and Hypotheses Developmentmentioning

confidence: 99%

Social media use in higher education: Building a structural equation model for student satisfaction and performance

Al-Rahmi

Shamsuddin²,

Wahab³

et al. 2022

Front. Public Health

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show abstract

“…Consequently, patients perceive this technology to be immature and in an early developmental state. Ultimately, although many researchers have considered healthcare services [37,38] and the use of TAM in their studies [39], we believe that our study added more variables the original TAM model that could provide a better explanation of patients' acceptance of IoT technology.…”

Section: E Discriminant/divergent Validitymentioning

confidence: 99%

Behavioral Intention to Use IoT Technology in Healthcare Settings

Alanazi

Soh

2019

Eng. Technol. Appl. Sci. Res.

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Rapid scaling of using the Internet of Things (IoT) technology has been seen recently in numerous applications in healthcare to deliver proper services. This was motivated by the declining size and cost of the employed IoT devices. Developing such technology has been well investigated in the literature; however, few studies have explored the factors influencing its adaptation in the healthcare setting. In this study, we investigate the core factors that influence the acceptance of using IoT for Healthcare Purposes in the Kingdom of Saudi Arabia (KSA). Accordingly, a theoretical framework, based on the Technology Acceptance Model (TAM), was developed and tested empirically. The modified model added variables that provide a better explanation of the acceptance of healthcare technology. To ground our conceptual idea, a survey was designed and performed on 407 patients (207 males, 200 females). The Partial Least Square Structural Equation Modeling (SEM) technique was applied to analyze the effect of eight hypothesized predicting constructs on the collected data. Results revealed that cost, privacy concerns, and perceived usefulness were the most significant predictors of behavioral intention to use. However, attitude and perceived connectedness were found to be irrelevant in predicting the intention to use IoT. Ultimately, results found that there is no correlation between gender and behavioral intention.

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“…Hasil riset juga mendukung bahwa mahasiswa memiliki kepercayaan dalam menggunakan pembelajaran di LMS agar meningkatkan hasil belajar peserta didik ((Diana et al, 2018), pemahaman konten belajar dan motivasi (Bibi & Jati, 2015), serta meningkatkan umpan balik (Shakerian et al, 2021). Bahkan yang menjadi tinggi kepercayaan mahasiswa dalam pembelajaran di LMS adalah nilai hasil belajar (Shayan & Iscioglu, 2017). Pada penelitian ini belum diukur capaian hasil belajar mahasiswa karena pengambilan data kegiatan perkuliahan masih berlangsung di pertengahan semester genap tahun akademik 2020/2021.…”

Section: Pembahasanunclassified

Kepercayaan Dan Kepuasan Penggunaan LMS Mahasiswa Selama Pembelajaran Daring

Prasetyo

Marini

Sumantri

2021

J.PM

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<em>The implementation of online learning through the Learning Management System (LMS) is universal in higher education. The presentation of learning at the LMS is expected to facilitate student learning during the Covid-19 pandemic. This aims of research to determine the effect of belief in the use of LMS on learning satisfaction in LMS carried out by students. The research approach uses a quantitative type of correlation. This study used a research sample of 101 students. The research instrument is an online questionnaire that has been tested for validity and reliability and is analyzing by regression. The results showed that the regression formulation was: Y = 1.535 + 0.706. Is the influence of the belief variable using LMS significant on LMS learning satisfaction? Result of the regression analysis, the significance value of 0.000 is smaller than 0.05, it can be concluded that belief in the use of LMS affects LMS learning satisfaction. How much trust do the beliefs of LMS affect learning satisfaction at the LMS (r-square), namely 55.8%, while the remaining 44.2% is another variable and is not researched?. Belief in using LMS on learning satisfaction in LMS is based on aspects of content quality, learning success, ease, and behavior.</em>

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An Assessment of Students’ Satisfaction Level from Learning Management Systems: Case Study of Payamnoor and Farhangian Universities

Cited by 8 publications

References 14 publications

Social media use in higher education: Building a structural equation model for student satisfaction and performance

Social media use in higher education: Building a structural equation model for student satisfaction and performance

Behavioral Intention to Use IoT Technology in Healthcare Settings

Kepercayaan Dan Kepuasan Penggunaan LMS Mahasiswa Selama Pembelajaran Daring

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