/pdf/research-design-qualitative-quantitative-and-mixed-methods-1m92m1x5gg.pdf

Research Design: Qualitative, Quantitative, and Mixed Methods Approaches

Perceived Usability Evaluation of Microsoft Teams as an Online Learning Platform During COVID-19 using System Usability Scale and Technology Acceptance Model in India.

This research aims to evaluate the level of postsecondary student satisfaction with online learning platforms and learning experiences during the novel coronavirus COVID-19 pandemic in the Kingdom of Saudi Arabia (KSA). This paper is based on the premise of transformative learning theories [1], which describe the learners’ authority and investment over their learning. Quantitative research was carried out using a survey that was sent out to 283 students enrolled at one higher education institution in KSA. These data were analyzed using SPSS. Average Mean Score (AMS) was used for data analysis, where the results are validated using the Standard Deviation (SD), Skewness and Kurtosis test, and Cronbach Alpha test. The research findings revealed that the students are satisfied with the university staff and faculty members who agreed on specific online platforms to use, grading system, assessment options, training workshops, online technical support, and more. The research findings also showed that participants were highly satisfied with Google Hangouts the most for lecture delivery, followed by Google Classroom and LMS (Moodle) for course management and assessments. With only respect to the students’ online learning experiences, the COVID-19 situation within this study context was handled adequately. This study calls for further research into the integration of professional development workshops and practical training courses for online learning and teaching to endorse innovative teaching techniques and alternative assessment plans for instructors, learners, administrators, and policymakers.

/pdf/students-satisfaction-with-online-learning-experiences-1lmmliimck.pdf

Students' Satisfaction with Online Learning Experiences During the COVID-19 Pandemic

Aim/Purpose The objective of the research was to study the relationship of seven independent factors: administrative support, course content, course design, instructor characteristics, learner characteristics, social support, and technical support on quality of e-learning in higher education during the COVID-19 pandemic Further, the study analyzes the moderating effect(s) of gender and level of the course on the quality of e-learning in higher education during the COVID-19 pandemic Background The COVID-19 pandemic situation has impacted the entire education system, especially universities, and brought a new phase in education "e-learning " The learning supported with electronic technology like online classes and portals to access the courses outside the classroom is known as e-learning This study aimed to point out the variables influencing the quality of e-learning, such as administrative support, course content, course design, instructor characteristics, learner characteristics, social support, and technological support Methodology An inferential statistics cross-sectional study was conducted of the students of higher education institutions in India and the Kingdom of Saudi Arabia with a self-administered questionnaire to learn the students' perception of e-learning All levels of undergraduate and postgraduate students took part in the study with a sample size of 784 Ultimately, this study used a Structural Equation Modelling (SEM) approach to find the positive relationship between the quality of e-learning and the seven independent variables and two moderating variables in the higher education sector Contribution The study aims to explore the quality of e-learning in higher education from the students' perspective The study was analyzed based on the student's data collected from the higher educational institutions of India and Saudi Arabia The study will support the top management and administrators of higher educational institutions in decision making Findings The findings revealed that there is a positive relationship between the set of variables and the quality of e-learning in the higher education sector Also, there is a significant difference in the perception of the students between gender, level of the course, and quality of e-learning in the higher education sector during the COVID-19 pandemic Recommendations for Practitioners The results of the study can help top management and administrators of higher educational institutions to improve their actions Higher educational institutions need to concentrate on the study outcomes related to administrative support, course content, course design, instructor characteristics, learner characteristics, social support, and technological support to enhance the quality of e-learning The study revealed that there should be a difference in the procedure of providing e-learning based on the level of the course and gender of the students Recommendations for Researchers The results were examined and interpreted in detail, based on the perspective of the students, and concluded with a view for future research The study will be beneficial for academic researchers from different countries with a different set of students and framework Impact on Society The study revealed that the positive results of the students' perspective on the quality of e-learning would help the policy-makers of the country in providing the learning process during the COVID-19 pandemic Also, the result explored the importance of the quality aspects of e-learning for improvement Future Research There is a need for future studies to expose the quality of e-learning in higher education in the post-COVID-19 pandemic Further researchers will bring the performance level of e-learning during the COVID-19 pandemic

/pdf/factors-affecting-the-quality-of-e-learning-during-the-covid-3zjckzcs7t.pdf

Factors affecting the quality of e-learning during the covid-19 pandemic from the perspective of higher education students

This present study aims to investigate factors that impact behavioural intention of university students on e-learning use during the COVID-19 pandemic. An online questionnaire was utilised to gather data from 109 students enrolled in one of the universities in Indonesia. The Technology Acceptance Model (TAM) was the primary framework employed for analysis, in which system quality and e-learning experience were included as external constructs to seek out a much better model to improve the understanding of students' intention to adopt e-learning. An extended TAM model was developed and tested in this study. The model consists of six constructs: system quality, e-learning experience, perceived ease of use, perceived usefulness, attitude toward use, and behavioural intention. Structural Equation Modelling (SEM) and SMART PLS 3.0 software were applied for data analysis. The findings informed that the proposed model has been succefully explained factors university students use of e-learning during the pandemic in Indonesia. It suggested that attitude toward e-learning use was the most prominent construct to predict university students' behavioural intention to use e-learning during the pandemic. Finally, this study offers recommendations for future research and practices.

/pdf/examining-university-students-behavioural-intention-to-use-e-10y7tfv8yf.pdf

Examining university students' behavioural intention to use e-learning during the COVID-19 pandemic: An extended TAM model.

Although learning management systems (LMS) have been widely adopted by higher educational institutions in many countries, they are considered an emerging technology in Saudi Arabia. Furthermore, research has demonstrated that the students’ use of them is not always satisfactory. This quantitative study investigated the factors that affect the students use of LMS in higher education by extending the technology acceptance model (TAM) and adapting eight external variables. Based on the probability multi-stage cluster sampling technique, online surveys were sent by email to 2000 students registered in three public universities in Saudi Arabia. 851 responses were submitted by participants, and 833 responses were used for data analysis. Using Partial Least Squares Structural Equations Modeling (PLS-SEM), the results revealed that perceived ease of use is affected by six factors (content quality, system navigation, ease of access, system interactivity, instructional assessment and system learnability). The findings confirmed that perceived usefulness has five determinants (content quality, learning support, system interactivity, instructional assessment and perceived ease of use). This research is relevant to researchers, decision makers and e-learning systems designers working to enhance students’ use of e-learning systems in higher education, in particular where there is not yet widespread adoption.

/pdf/extending-the-technology-acceptance-model-to-understand-24gn8a52ap.pdf

Extending the Technology Acceptance Model to Understand Students’ Use of Learning Management Systems in Saudi Higher Education

Technology acceptance model (TAM) has been a standout amongst the most well-known models in understanding the users’ acceptance of technologies. This study develops a model to predict the factors that influence the use of learning management systems (LMS) among higher educational students in Saudi Arabia by applying the TAM model and two psychological determinants: computer self-efficacy and subjective norms. The Partial Least Squares Structural Equation Modeling (PLS-SEM) technique was employed to examine the proposed model. The findings confirm the TAM model within the context of Saudi Arabia. Further, the students’ perceived ease of use is positively influenced by computer self-efficacy, while the students’ perceived usefulness is positively affected by subjective norm. As scholars have overlooked using TAM to assess LMS in the context of Saudi Arabia, the study may give a guide to future work to adopt additional factors that impact the students' utilization of LMS.

/pdf/the-influence-of-computer-self-efficacy-and-subjective-norms-2d78zgflzw.pdf

The Influence of Computer Self-efficacy and Subjective Norms on the Students’ Use of Learning Management Systems at King Abdulaziz University

Due to rapid advancements in the field of information and communication technologies, mobile health (mHealth) has become a significant topic in the delivery of healthcare. Despite the perceived adv...

https://journals.sagepub.com/doi/pdf/10.1177/1460458220976737

Proposing a mobile apps acceptance model for users in the health area: A systematic literature review and meta-analysis:

The students’ acceptance of learning management systems in saudi arabia: a case study of king abdulaziz university

Learning Management Systems (LMS) have been widely adopted in many higher educational institutions to support teaching and learning activities. The study was conducted with the aim of investigating the usability of the learning management system (Blackboard) at Jeddah Community College (JCC) from the students' perception, using a System Usability Scale (SUS) survey. The study examined the association between SUS scores and different variables: age, prior experience with LMS, ICT skills, attitude towards the Internet and LMS usage frequency. All participants were students at JCC. The online survey was sent by email to students who were enrolled in Information Technology (IT) courses during the 2016 summer semester. 50 responses were received and used for data analysis. The findings indicate that the overall mean of SUS score is 69.3 (SD 11.31), indicating that the current LMS has some usability issues. It was also found that the students’ LMS usage frequency is positively correlated with their SUS score. The findings can be used to consider the effectiveness of LMSs.

Sami S. Binyamin

Papers

Extending the Technology Acceptance Model to Understand Students’ Use of Learning Management Systems in Saudi Higher Education

The Influence of Computer Self-efficacy and Subjective Norms on the Students’ Use of Learning Management Systems at King Abdulaziz University

Proposing a mobile apps acceptance model for users in the health area: A systematic literature review and meta-analysis:

The students’ acceptance of learning management systems in saudi arabia: a case study of king abdulaziz university

The utilization of system usability scale in learning management systems: a case study of jeddah community college