Students are at risk? Elucidating the impact of health risks of COVID-19 on emotional exhaustion and academic performance: role of mindfulness and online interaction quality.

Although previous online learning studies have looked at how student outcomes are influenced in different settings, this study is unique in that it looks at the role of COVID-19 as a particular stressor. This study discussed how students' perceptions of health risks of COVID-19 (PHRC) influenced their academic performance through emotional exhaustion. This study also looked at how mindfulness and online interaction quality (OIQ) affected PHRC's direct effects on exhaustion, as well as PHRC's indirect effects on academic performance via exhaustion. The data for the current study were collected from 336 students in three waves who were studying online during COVID-19. The results through structural equation modeling (SEM) revealed that PHRC influenced academic performance. The results further revealed that mindfulness and OIQ attenuated the direct effects of PHRC on emotional exhaustion as well as indirect effects on academic performance through emotional exhaustion. This study provides some novel implications for practice and research.

Caregiver sensitivity supported young children's vocabulary development during the Covid-19 UK lockdowns.

Previous studies have shown that caregivers' sensitive, responsive interactions with young children can boost language development. We explored the association between caregivers' sensitivity and the vocabulary development of their 8-to-36-month-olds during COVID-19 when family routines were unexpectedly disrupted. Measuring caregivers' sensitivity from home interaction videos at three timepoints, we found that children who experienced more-sensitive concurrent interactions had higher receptive and expressive vocabularies (N=100). Children whose caregivers showed more-sensitive interactions at the beginning of the pandemic showed greater expressive vocabulary growth six (but not 12) months later (n=58). Significant associations with receptive vocabulary growth were not observed. Our findings highlight the importance of sensitivity at a time when other positive influences on language development were compromised.

User experience of human-robot long-term interactions

Since interactions with social robots are novel and exciting for many people, one particular concern in this specific area of human-robot interaction (HRI) is the extent to which human users will experience the interactions positively over time, when the robot's novelty is particularly salient. In the current paper, we investigated users' experience in long-term HRIs;how users perceive the ongoing interactions and the robot's ability to sustain it over time. Therefore, here we examine the effect of the repeated measures (10 testing sessions) and the discussion theme (Covid-19 related vs general) on the way participants experienced the interaction quality with a social robot and perceived the robot's communication competency over time. We found that despite individual differences between the participants, over time participants found the interactions with Pepper to be of higher quality and that Pepper's communication skills got better. Nevertheless, our results also stressed that the discussion theme has no meaningful nor significant effect on the way people perceive Pepper and the interaction. © 2022 ACM.

Evaluating Usability of Telehealth Sehhaty Application Used in Saudi Arabia During Covid-19.

Telehealth services were made available in the Kingdom of Saudi Arabia through a number of different mobile applications, one of which is the Sehhaty application. Studies are needed to evaluate how consumers are perceiving these services, during the COVID-19 pandemic. This study aims to measure consumers' satisfaction with telehealth services provided by the Sehhaty application and to compare the results to other countries using similar telehealth services. The telehealth usability questionnaire (TUQ) tool was used to construct an online survey to gather consumers' usability assessment and measure satisfaction. The study provides strong evidence that Sehhaty application has a high acceptance rate among users with 76.36% overall satisfaction. Although, 44.34% of participants liked using Sehhaty application, a total of 68.87% participants prefers in-person visits. As a result, more studies need to be conducted to identify factors affecting satisfaction levels for Sehhaty telehealth solutions by the public.

E-participation decision across different channels

Purpose>This study focuses on understanding how channel features can affect people's intention to continue to use an electronic channel in public affairs and their recommendation behaviors. Specifically, three different channels are focused on: email, microblogs and online meetings.Design/methodology/approach>A research model on an e-participation channel based on the channel-disposition framework was developed and an online survey was conducted to collect data from 397 individuals who used three e-participation channels to validate seven hypotheses.Findings>The study found that information quality, channel interaction quality and the social appearance of other citizens all had a significant impact on users' intention to continue to use an electronic channel, which, in turn, affected their recommendation behaviors. However, the impact differed across the three e-participation channels. Information quality had a stronger impact on microblog and online meeting users' intention to continue to use these channels than on email users' intention to continue using email to participate in public affairs. Channel interaction quality had a stronger impact on email users' intention to continue to use email than on microblog and online meeting users' intention to continue to use these channels in public affairs.Originality/value>This study helps better explain how various channels and their features can affect participants' use intentions and behaviors in e-participation. It also provides practical guidance for government to better manage e-participation channels and effectively engage citizens in public affairs.

Examining students’ satisfaction with online learning during the Covid-19 pandemic - an extended UTAUT2 approach

Given that the educational sector was particularly hard hit in most countries around the world during the Covid-19 pandemic, the study employs an extended UTAUT2 to investigate student use and satisfaction with e-learning in a developing country setting. We employed partial least squares structural equation modelling (PLS-SEM) on 616 data responses gathered online from university students during the pandemic to evaluate our integrated model. This paper found that not all the predictors of the UTAUT2 model were statistically significant in predicting behavioural intention. Our results revealed that performance expectancy, effort expectancy, and facilitating conditions, as predictors, have no influence on various outcomes relating to the behavioural intention to use e-learning. The study also found that e-learning interaction quality predicts student satisfaction. Other theoretical and practical implications are also detailed in our study. [ FROM AUTHOR] Copyright of Journal of Further & Higher Education is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)