ABSTRACT
Since the emergence of COVID-19, virtual learning has been the norm at institutions of higher education. Video lecture have emerged as a useful tool for academics in delivering distance education courses. Furthermore, video lecture are expected to keep the educational system running smoothly despite the pandemic. Therefore, the purpose of this study is to assess university students' acceptance of video lecture by extending the Technology Acceptance Model (TAM) with internet self-efficacy and learner-content interaction as the extended variable. Data from 390 students were gathered and analysed by Partial Least Squares-Structural Equation Modelling (PLS-SEM). The result shows that both internet self-efficacy and learner-content interaction plays an important role to determine the acceptance of video lecture and all path relationships in TAM were significant. Compared to internet self-efficacy, learner-content interaction have a bigger impact on the perceived usefulness of video lecture. This demonstrates that interaction between the learner and the content is important in deciding the acceptance of video lecture, and that educators should make video lecture brief and engaging so that students would enjoy using them. © 2022 IEEE.
ABSTRACT
Reports an error in "The acceptance of learning management systems and video conferencing technologies: Lessons learned from covid-19" by Mark Anthony Camilleri and Adriana Caterina Camilleri (Technology, Knowledge and Learning: Learning mathematics, science and the arts in the context of digital technologies, Advanced Online Publication, Aug 12, 2021, np). In the originally published article, the authors identified an error in Fig. 1. The correct Fig. 1 and its caption are given in this erratum. The original article has been revised. (The following of the original article appeared in record 2021-76378-001). During the outbreak of the Coronavirus (COVID-19) pandemic, higher education institutions (HEIs) have shifted from traditional and blended learning approaches to a fully virtual course delivery. This research investigates the students' perceptions on remote learning through asynchronous learning management systems (LMS) and via synchronous video conferencing technologies like Google Meet, Microsoft Teams or Zoom, among others. The data was gathered from a sample of 501 higher education students in a Southern European context. A survey questionnaire included measures that investigated the participants' acceptance of interactive technology to better understand their utilitarian motivations to use them. The findings suggest that the research participants accessed asynchronous content and interacted with online users, including with their course instructor, in real time. While there are a number of theoretical or opinion papers on the impact of COVID-19 on higher education services, currently, there are still a few empirical papers that shed light on the factors that are having an effect on the students' attitudes and intentions to utilize remote learning technologies. This contribution underlines the importance of maintaining ongoing, interactive engagement with students, and of providing them with appropriate facilitating conditions, to continue improving their learning journey. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
Learning habits among students in higher institution, has radically changed over the last two decades, partially due to the features of the information and digital society, wide scale broadband internet access, proliferation of smart devices and consequently, available online mobile applications. Thus, in higher education, e-learning systems are essential, and the COVID-19 pandemic era has seen an increase in popularity of e-learning. Thus, it is critical to establish the extent to which students in higher education adopt e-learning. This paper focuses at developing a framework for e-learning technologies through the Technology Acceptance Model (TAM) by incorporating system characteristics as its' extended variable, which consists of three main constructs: system quality, content quality and information quality among university students in Malaysia. Regarding the system characteristics, the findings suggested that all three components that make up system characteristics had a significant positive influence on students' perceived ease of use of the e-learning system, whereas only system quality and information quality had a significant positive impact on students' perceived usefulness of the e-learning system. With respect to TAM, all relationships were found to be significant. © 2022 IEEE.
ABSTRACT
The Covid-19 pandemic has changed the way customers shop. Previous research reports stated that during the Covid-19 pandemic there was an increase in transactions that occurred in e-Commerce and even a fairly large increase in income for the industry. On the other hand, it was found that there were often mistakes in shopping made by customers, resulting in product returns and so on. The implementation of data quality and data privacy is believed to have been carried out by e-Commerce. This study will explore how Data Quality and Data Privacy factors affect customer buying interest. This quantitative research uses the SmartPLS application to process the data and uses the SEM-PLS technique. This study used 477 e-commerce customers as respondents during the Covid-19 pandemic and from this research, interesting results were obtained for the development of e-commerce. The Complete Information factor was found to have a negative and significant influence on intention to buy, and other factors were also found that describe the behavior of customers who shop for e-commerce during the Covid-19 pandemic. © 2022 IEEE.
ABSTRACT
Mobile applications are growing every year, increasing more during the COVID-19 pandemic. Most of the mobile applications that appear are applications related to health and other use to cope with the covid-19 pandemic, but with that substantial number of applications, it is not yet known how users accept this type of application and will be loyal to use it even if the pandemic is over. This study aims to analyze the effects of performance expectations, business expectations, social influences, facility conditions, and habits to understand user behavioral intentions on fitness applications using the UTAUT 2 model using quantitative methods. Data was gathered from March to April 2022 by distributing online questionaries using google form through social media, with non-probability sampling. This study uses 7 factors contained in the UTAUT2 Model, namely Performance Expectancy, Effort Expectancy, Facilitating Condition, Social Influence, Price Value, Hedonic Motivation, and Habit. The target respondents of this study are fitness application users at least 17 years old. Then the data is processed using the SEM-PLS method. There are 7 hypotheses formed with 4 accepted and 3 rejected hypotheses. © 2022 IEEE.
ABSTRACT
During the outbreak of the Coronavirus (COVID-19) pandemic, higher education institutions (HEIs) have shifted from traditional and blended learning approaches to a fully virtual course delivery. This research investigates the students’ perceptions on remote learning through asynchronous learning management systems (LMS) and via synchronous video conferencing technologies like Google Meet, Microsoft Teams or Zoom, among others. The data was gathered from a sample of 501 higher education students in a Southern European context. A survey questionnaire included measures that investigated the participants’ acceptance of interactive technology to better understand their utilitarian motivations to use them. The findings suggest that the research participants accessed asynchronous content and interacted with online users, including with their course instructor, in real time. While there are a number of theoretical or opinion papers on the impact of COVID-19 on higher education services, currently, there are still a few empirical papers that shed light on the factors that are having an effect on the students’ attitudes and intentions to utilize remote learning technologies. This contribution underlines the importance of maintaining ongoing, interactive engagement with students, and of providing them with appropriate facilitating conditions, to continue improving their learning journey.
ABSTRACT
Educational activities have changed due to the pandemic and it was necessary to respond by giving continuity to the formative processes with virtual platforms as it happened at the Universidad Nacional del Centro del Perú-School of Social Work. The objective was to know the level of satisfaction of students in the use of the virtual platform chosen, using the Questionnaire for the evaluation of learning environments in distance education (Sp-DELES) of 42 questions with dimensions: teacher support, student interaction and collaboration, personal relevance, real learning, active learn-ing, autonomy and satisfaction. A total of 213 students were consulted, the instrument was distrib-uted digitally and anonymously. For the descriptive analysis, the results were ranked in three response categories: agree, indifferent and disagree;the Autonomy dimension was valued with 69.01% agreement and 9.39% disagreement. The dimension with the lowest appreciation was Satisfaction with 25.35% agreement and 28.64% disagreement. Structural equation modeling was performed with SmartPLS, obtaining that Faculty support (FS) and Active learning (AL) have a direct relationship with Satisfaction (S) in the use of the virtual platform with beta values (β) of 0.279 and 0.872 respectively. Contrarily, Real learning (RL) and Autonomy (A) have an inverse relationship with Satisfaction (S) with beta values (β) of-0.025 and-0.122 respectively. The study reflects that there is no relationship between Interaction and Communication among Students (ICS), Personal Relevance (PR) and Satisfaction (S) as the p-values were greater than 0.05. The value of the coefficient of determination (R2) was 0.778 being the representative model. The study is non-experimental, descriptive, explicative and cross-sectional. © 2022, International Journal of Data and Network Science. All rights reserved.
ABSTRACT
The internet is currently an essential need for Indonesian people. Mainly because of the covid-19 pandemic that makes activities must be done remotely, including shopping. One of the best-selling products purchased online during a pandemic is beauty and skincare. In Indonesia, there is one special e-commerce application widely used and quite famous by the people of Indonesia who sell beauty and skincare products. However, not a few are still dissatisfied with using the application. This research aims to describe factors affecting user satisfaction in using beauty and skincare e-commerce applications in Indonesia. This research model adopts and modifies the ISSM model by DeLone and Mclean, TAM, and the Trust. SEM-PLS is also used to analyze the results of a survey collected by 185 respondents to validate the hypothesized model practically. User satisfaction in using beauty and skincare e-commerce applications depends on system quality, information quality, service quality, perceived ease of use, perceived usefulness, and trust. In the end, the results showed that trust, perceived usefulness, and system quality has a significant direct relationship to user satisfaction. In addition, perceived ease of use and user satisfaction has a significant relationship with completely mediated by perceived usefulness. © 2022 Little Lion Scientific.
ABSTRACT
This research aims to evaluate factors that could influence the intention of using video conferencing applications during the COVID-19 pandemic as a means for workers to work from home. The research model used in this study is the UTAUT model, with perceived risk and trust as extended variables. Data collection was carried out by distributing questionnaires. A total of 212 samples were then collected and analyzed using SEM-PLS. The results show that risk perception negatively affects intention to use but is not significant enough to inhibit actual use. It was also revealed that the influence of behavioral intention on the user behavior variable is the most positive and significant. © 2022 ICIC International. All rights reserved.