Using Structural Equation Modeling to Assess Online Learning Systems’ Educational Sustainability for University Students

Factors influencing microgame adoption among secondary school mathematics teachers supported by structural equation modelling-based research

Microgames are rapidly gaining increased attention and are highly being considered because of the technology-based media that enhances students’ learning interests and educational activities. Therefore, this study aims to develop a new construct through confirmatory factor analysis, to comprehensively understand the factors influencing the use of microgames in mathematics class. Participants of the study were the secondary school teachers in West Java, Indonesia, which had a 1-year training in microgames development. We applied a quantitative approach to collect the data via online questionnaires through google form. Structural Equation Modelling (SEM) with AMOS software was used to analyze the proposed model. Empirical results confirmed the perceived easy to use and subjective norm influence (PEU and SN) relationship with teachers’ microgame usage behaviors and intentions. In this condition, SN was found to have the initial significant influence on behavioral intention (BI), as attitude, BI, and facilitating conditions also correlated with the actual use of microgames. Furthermore, the largest influential factor was BI, with the results subsequently showing that TPACK had no significant influence on the actual use of microgames. This report is expected to help bridge the gap across several previous studies, as well as contribute to the explanation and prediction of the factors influencing the teachers’ mathematical utilization of the study’s program. Besides this, it also helps to increase the use of microgames in teaching and learning activities.

The Impact of e-Learning Systems on Motivating Students and Enhancing Their Outcomes During COVID-19: A Mixed-Method Approach

e-Learning is a key strategy in the course of higher education to improve the results of the educational process and stimulate student motivation. The COVID-19 pandemic imposed on Algerian universities to adopt e-Learning systems to search for effectiveness and efficiency of academic approaches. This paper seeks to remedy these problems by analyzing the impact of e-Learning systems on student motivation and outcomes. A mixed-method approach was used in the data analysis. We conducted the study as a survey, with data being gathered via questionnaires distributed to 398 students. The questionnaire includes open questions that were qualitatively analyzed using content analysis with Nvivo, besides Likert scale questions were quantitatively analyzed and modeled using Structural equation modeling (SEM) with Amos to accomplish the path analysis of the research model. The results of the study showed that student motivation (Attention, Relevance, Confidence, and Satisfaction) and student outcomes (knowledge, skills, and attitudes) are significantly affected by e-Learning systems (Technical and electronic requirements, personal requirements, perceived value, and credibility of e-Learning). The key findings are discussed, and they provide recommendations for future research.

Determinants of Behavioral Intention and Use of Interactive Whiteboard by K-12 Teachers in Remote and Rural Areas

Interactive Whiteboard (IWB) has recently been used to replace the TWB (traditional whiteboard), with many of its features being observed to help teachers in educational activities. This is based on effectively and efficiently increasing the teacher-student interaction. Therefore, this study aims to analyze the determinants of Behavioral Intention (BI) and the use of interactive whiteboards by K-12 teachers, in remote and rural Chinese areas. The Modified-Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model was used in this analysis, as a learning medium to deliver the subject matter to students. The sample and population were also the teachers in the Guangxi Zhuang Autonomous Region, China, where 171 voluntary respondents participated in this study. Furthermore, the obtained data were processed using a Structural Equation Model (SEM) approach, through the Smart-PLS software. The results showed that Habit and Hedonic Motivation had a significant influence on the Behavioral Intention (BI) of teachers, toward the utilization of IWB in remote and rural areas. Besides this, Facilitating Conditions (FCs) and BI also had a significant positive effect on Usage Behavior. Based on these results, important information was provided to school principals, local governments, and teachers for education quality improvement, regarding the patterns of increasing IWB utilization in remote and rural areas.

Telework in Baltic Countries during the Pandemic: Effects on Wellbeing, Job Satisfaction, and Work-Life Balance

As a result of the rapid and unplanned adoption of telework by European companies during the pandemic, specific telework characteristics have arisen. Thus, employees’ experience of telework requires further analysis. Based on the “Living, Working, and COVID-19” results for Baltic countries, this paper studies the effect of telework experience on wellbeing, both directly and mediated by Work-Life balance and job satisfaction, through structural equation modelling. After verifying the significant differences in telework preferences, the model is also tested in high versus low telework preference groups. The main findings corroborate the effect of a positive telework experience on perceived wellbeing, but only indirectly via Work-Life balance. Additionally, data from the group with a high telework preference best fits the proposed model, revealing not only the mentioned indirect effect, but also the direct positive effect of telework experience on wellbeing. Thus, employees with a negative experience of telework during the pandemic will be more reluctant to accept telework over more traditional work arrangements. The implications as well as some limitations to be examined in further studies are also presented.

Constructing an Online Sustainable Educational Model in COVID-19 Pandemic Environments

The outbreak of COVID-19 forced billions of learners to stay at home in order to receive online education. The aim of the study is to construct an online sustainable educational model to facilitate this learning approach. This study included 53 peer-reviewed articles for the review study following the selection process of the Preferred Reporting Items for Systematic Review and Meta-analysis Protocol (PRISMA-P) and the clustering techniques of VOSviewer. It is concluded that the model consists of online educational platforms, online assessment systems, social media, and digital literacy. With these features, online education could be sustained. However, challenges should also be addressed to sustain online education during the pandemic. Designers, scientists, and teachers should make every effort to increase learning engagement, enhance learning supervision, formulate adequate emergency programs, minimize educational inequalities, solve technical issues, and formulate systematic learning management and organization. The sustainable online educational model may be updated and perfected by including more practical features in the future.

Students’ Perceptions of the Actual Use of Mobile Learning during COVID-19 Pandemic in Higher Education

Mobile learning (M-learning) has become a significant component of higher education technology. Moreover, M-learning allows students to study, collaborate, and exchange ideas while using the internet and technology. Furthermore, an acceptance of M-learning is necessary for students and educators when it comes to using M-learning systems. However, in Saudi Arabia, not enough studies have been conducted to address students’ perceptions of their actual use of mobile learning for the purpose of education during the COVID-19 pandemic. Therefore, the current research aims to examine students’ satisfaction with their behavioral intention to use mobile learning, as well as their perceptions of their actual use of mobile learning during the COVID-19 pandemic in higher education. The research is based on the Technology Acceptance Model (TAM). The satisfaction and behavioral intentions of students to utilize mobile learning to make real use of mobile education was measured using four separate variables. A TAM survey was used to collect the majority of the data, with questionnaires being randomly distributed to 300 students from King Saud University. SPSS and Smart-PLS3.3.3 were used to analyze the data. The results in terms of the students’ satisfaction and behavior in using M-learning show that M-learning has a good and constructive influence on the actual usage of M-learning during the COVID-19 pandemic in higher education. As a result, we encourage students to use M-learning in their classrooms and to collaborate with their peers at higher education institutions. The study’s empirical findings aid in the integration of the TAM model in order to increase students’ M-learning performance.

Online Teaching during COVID-19 Pandemic: Teachers’ Experiences from a Chinese University

This paper explores the experiences of Chinese university teachers during the COVID-19 pandemic, with a particular emphasis on the teaching and learning methods adopted and the benefits and challenges encountered in the process. It is based on semi-structured interviews with 13 Chinese university teachers selected through purposive sampling. The findings suggest that the COVID-19 pandemic forced the university and teachers to adopt online teaching and learning without necessary preparations. Most of the teachers had no adequate ICT and pedagogical training to engage in online teaching and learning. The teachers used the little knowledge they had to learn creating videos and managing online classes gradually. In addition to the flexibility benefits, online learning is expected to transform the teaching and learning process in China to become more interactive and student-centered, which would be a significant achievement for teachers who have been practicing traditional teaching methods. This research provides a better understanding of the benefits and challenges of online learning, which could be vital for future adjustments or educational reforms.