The Effect of Age and Employment on Students’ Perceptions of Online Course Quality

Barczyk, Casimir; Hixon, Emily; Buckenmeyer, Janet; Ralston-Berg, Penny

doi:10.1080/08923647.2017.1316151

Cited by 8 publications

(6 citation statements)

References 11 publications

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“…The older respondents had lower satisfaction with distance learning in comparison with younger ones. The similar result was found out by the authors Barczyk et al (2017), where the younger respondents higher valued clarity and appropriateness of the assessments and clear criteria for grading. Also, they placed a high value on the tools and media that support learning objectives and classmate interactivity.…”

Section: Discussionsupporting

confidence: 87%

Possible Factors Determining Satisfaction of Distance Education Among University Students

Chytrý

Kubiatko

Pacovský

2022

PEC

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The aim of the study was to find out the factors, which significantly affected satisfaction with distance education among university students (undergraduate students). Complete data were obtained from 1283 respondents from different faculties in Czech Republic during the second term in academic year 2021/2022. The items in research tool were Likert type and also semantic differential was used. The descriptive, inferential and multidimensional statistic were used for data evaluation. Independent variables like: Evaluation factor for full-time form; Activity factor for full-time form; Difficulty factor for combined form; Evaluation factor for combined form; Activity factor for combined form; Perception of distance learning through negatives and Perception of distance learning through positives were as significant, which influenced satisfaction with distance education. Implications for pedagogical practice are presented in the conclusion part. Keywords: multiple regression model, quantitative approach, satisfaction of distance education, university students

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Section: Discussionsupporting

confidence: 87%

Possible Factors Determining Satisfaction of Distance Education Among University Students

Chytrý

Kubiatko

Pacovský

2022

PEC

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“…In general, quality is an essential factor in online learning to provide a helpful learning experience for students (Barczyk et al, 2017), while course quality supports university learning performance. Quality Matters TM (QM) is an international organization that involves collaboration between institutions and creating a shared understanding of online course quality (Ralston-Berg, 2014).…”

Section: Course Qualitymentioning

confidence: 99%

Student performance in online learning higher education: A preliminary research

2022

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The impact of student performance is the focus of online learning because it can determine the success of students and higher education institutions to get good ratings and public trust. This study explores comprehensively the factors that can affect the impact of student performance in online learning. An empirical model of the impact of student performance has been developed from the literature review and previous research. The test of reliability and validity of the empirical model was evaluated through linguist reviews and statistically tested with construct reliability coefficients and confirmatory factor analysis (CFA). Overall, the results of this study prove that the structural model with second-order measurements produces a good fit, while the structural model with first-order measurements shows a poor fit.

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“…Most of the students are around 19 years old and do not have their own income to equip themselves with the necessary tools (Barczyk et al, 2017). If observed further, the online learning process which is the object of research does not maximize to use social media facilities.…”

Section: Student S' Attitudes On Online Learningmentioning

confidence: 99%

“…Regarding gender, research on students in the USA shows that female students have better ability to organize themselves in online learning activities compared to male students, so they have better learning achievement (Volchok 2019). Research on the existence of differences in learning attitudes based on age shows that students aged under 45 have lower readiness than students aged over 45 years (Barczyk et al 2017). The challenge faced by online learning among students in Taiwan is that students feel uncomfortable and become less confident in the online learning process if the technology used is not suitable (Warden et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Kreadiness of Tourism Students in Indonesia on Online Learning Activities

Pramanik

Maudiarti²,

Aditya

2021

akademika

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Online learning is carried out in all higher education after the COVID-19 pandemic. The online learning causes forced online learning preparation. The research aimed to measure student attitudes about online learning, student readiness to learn online, and the influence of student attitudes about online learning on student readiness to learn online. The research method was descriptive quantitative and the sample was chosen by simple random sampling. The data were obtained from 311 students of the hospitality management diploma 4 of academic year 2017 to 2020 at one of the tourism school in Indonesia who had to carry out online learning. The collected data were tested using validity and reliability test, descriptive test (frequency and mean), correlation, simple linear regression test and t-test. The result of the mean test showed that students do not like online learning even though they have a perception of readiness to learn online. This result contradicted the results of the simple linear regression test and t-test which concluded that students 'attitudes of online learning positively and significantly affected students' readiness to learn online. The study implication that it is necessary to create efforts to change the attitude of being less accepting of online learning activities into an attitude of accepting online learning for students.

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The Effect of Age and Employment on Students’ Perceptions of Online Course Quality

Cited by 8 publications

References 11 publications

Possible Factors Determining Satisfaction of Distance Education Among University Students

Possible Factors Determining Satisfaction of Distance Education Among University Students

Student performance in online learning higher education: A preliminary research

Kreadiness of Tourism Students in Indonesia on Online Learning Activities

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