No abstract

Cloud-based learning technologies play a central role in ensuring that learning and teaching practice can be conducted properly in the Covid-19 pandemic era. Although such technologies are advanced in mediating educational practice, the teacher’s acceptance toward the technology is usually far less to be understandable. This research aimed to investigate teachers’ acceptance toward cloud-based learning technology, in particular, for Microsoft 365 that currently being used massively in facilitating the educational process in Indonesia. In terms of theoretical framework, Technology Acceptance Model was employed with the inclusion of two original constructs, i.e., perceived usefulness (PU), perceived ease of use (PEU), and two extensive variables, i.e., perceived risk (PR) and social influence (SI) that will predict teacher’s intention to use the cloud-based learning technology during the Covid-19 pandemic. We collected data from teachers as research participants ( N = 75 ) using the online survey method and employed Structured Equation Modeling (SEM) using SmartPLS for quantitative data analysis. The result revealed significant relationship among factors affecting the use of the technology, except for PU (path coefficient = 0.120, p value = 0.415) and PEU (path coefficient = 0.224, p value = 0.147). Regarding this interesting result, we add final reflections and recommendations for future lines of works.

No abstract

This study aims to develop Moodle-based LMS with customized learning content and modified user interface to facilitate pedagogical processes during covid-19 pandemic and investigate how teachers of socially disadvantaged schools perceived usability and technology acceptance. Co-design process was conducted with two activities: 1) need assessment phase using an online survey and interview session with the teachers and 2) the development phase of the LMS. The system was evaluated by 30 teachers from socially disadvantaged schools for relevance to their distance learning activities. We employed computer software usability questionnaire (CSUQ) to measure perceived usability and the technology acceptance model (TAM) with insertion of 3 original variables (i.e., perceived usefulness, perceived ease of use, and intention to use) and 5 external variables (i.e., attitude toward the system, perceived interaction, self-efficacy, user interface design, and course design). The average CSUQ rating exceeded 5.0 of 7 point-scale, indicated that teachers agreed that the information quality, interaction quality, and user interface quality were clear and easy to understand. TAM results concluded that the LMS design was judged to be usable, interactive, and well-developed. Teachers reported an effective user interface that allows effective teaching operations and lead to the system adoption in immediate time.

COVID-19 pandemic changed how society behaves. Travel and social restrictions, commonly associated with the term lockdown became popular and ubiquitous. Given the rise of gig economy and mobile app delivery in the past several years, combined with lockdowns during the pandemic, and the application of telemedicine becomes essential. Halodoc is one of the popular telemedicine applications in Indonesia, having several useful features such as text-based doctor consultation and prescription drug order-delivery, and Halodoc is easily preferred by many. This article explored the motivation behind using Halodoc as the preferred method of getting health service during the pandemic, behind the perceived usefulness and perceived ease of use of the application, we found that fear of missing out (FOMO) has an indirect role in the application adoption in society, especially during lockdowns, where social interaction is limited to social media and other internet-based platforms. The reason why FOMO can be an important factor in technology adoption and how advertisers should explore FOMO is further discussed.