Exploring the effect of improved learning performance: A mobile augmented reality learning system.

Students are commonly in a high cognitive load state when they encounter sophisticated knowledge. Whether the novel augmented reality (AR) technology can be utilized in an online learning course to explain complicated scientific concepts in a more understandable manner to students during the COVID-19 period is an unaddressed issue. This study aims to investigate the influences of reducing the physical touch or face-to-face teaching/learning practices via using mobile augmented reality learning systems (MARLS) on students' perceived learning effectiveness. The information feedback viewpoint, flow theory, and cognitive load theory are integrated to examine the effects of the information feedback of MARLS on students' learning effectiveness. This study recruited 204 participants from ten universities to complete a learning task via a MARLS and fill out a questionnaire to collect data for the proposed research model. The empirical results revealed information feedback positively and significantly affected flow experience, perceived learning effectiveness, and continued intention. The improved learning performance of learners was positively related to their continued intention. Also, the extraneous cognitive load negatively and significantly moderated the relationship between information feedback and perceived learning effectiveness. This study proposes meaningful implications and suggestions for future research based on the findings of this experiment.

Factors influencing loneliness among older people using homecare services during the COVID-19 pandemic.

BACKGROUND: Elderly homecare service users may reduce their level of social participation and interpersonal interactions due to physiological loss, which may lead to loneliness and depression over the years. However, there is a lack of research on loneliness among older people who use homecare services. The purpose of this study was to examine the factors influencing loneliness among older people using homecare services. METHODS: This is a longitudinal study conducted in communities in Central Taiwan, and data were collected using a structured questionnaire. The questionnaire was first administered as a pre-test to obtain baseline information about the participants, and the same questionnaire was administered as a post-test after 6 months to follow-up. The pre- and post-test questionnaires included five sections, that is, participant demographics, Brief Symptom Rating Scale, Interpersonal Interaction Scale (IIS), Frenchay Activities Index, and UCLA Loneliness Scale (UCLA). RESULTS: A total of 178 participants were recruited in this study. Results indicated that gender, whether participants eat alone or with others at dinner, social media use, perceived economic status, and IIS score were significantly correlated with the loneliness score on the UCLA. Furthermore, there was a significant increase in the loneliness score among male participants in the low loneliness group from baseline to 6 months follow-up. CONCLUSIONS: Gender, presence of others at dinner, social media use, perceived economic status, and interpersonal interaction skills are significant factors that influence loneliness among older people using homecare services. Men tend to experience higher levels of loneliness over time.

Investigating the effectiveness of online interactive courses on loneliness and quality of life of older adults in the community during the COVID-19 pandemic: A pilot study and a randomized controlled trial.

BACKGROUND: The early stage of the COVID-19 pandemic was a critical time for increasing loneliness, especially for older people. However, there is insufficient existing research on associated interventions and their effectiveness. AIM: This study aimed to investigate the effectiveness of an 8-week online interactive course on the loneliness, depression, social support, and quality of life (QOL) of older adults in the community during the COVID-19 pandemic. METHODS: A single-blind randomized controlled trial was conducted to collect data from a community in Taiwan. Eighty-nine participants recruited from long-term care institutions were randomly divided into an experimental group (n = 44) and a control group (n = 45). Participants in the experimental group received an 8-week (Monday to Friday) intensive online interactive course, whereas those in the control group watched 8 weeks (Monday to Friday) of unidirectional online video programs. RESULTS: Significant differences were observed in the UCLA Loneliness Scale and in both the psychological health and social relationship domains of the WHO Quality of Life-BREF Scale. In other words, compared with those in the control group, participants in the experimental group experienced more significant improvements in the state of their loneliness as well as QOL in the psychological health and social relationship domains (without the physical health/environment domains) after taking the online interactive course. CONCLUSIONS: The results of this study showed that the 8-week online interactive course could effectively improve the loneliness, the psychological health domain, and the social relationship domain of the QOL of the older adults of a particular community during the ongoing pandemic. Geriatr Gerontol Int 2023; 23: 91-97.

Factors associated with anxiety and quality of life of the Wuhan populace during the COVID-19 pandemic.

In December 2019, COVID-19 broke out in Wuhan, China, affecting the mental health and quality of life (QoL) of its inhabitants. This study aimed at investigating the factors associated with anxiety and QoL in the Wuhan populace during the COVID-19 pandemic. An online questionnaire survey was carried out during July 6-10, 2020. The questionnaire collected information on demography, anxiety, QoL, and social-environmental support. The main statistical methods included descriptive statistics, independent-samples t-test, one-way analysis of variance, and multivariate regression analysis. In total, 226 participants were recruited. The findings showed that females, elderly, middle-income, poor health status, shortage of medical supplies, and insufficient basic commodities were associated with anxiety significantly. Multiple regression analysis indicated that social-environmental support was significantly related to anxiety. Higher social-environmental support was significantly associated with a higher QoL. Our findings showed that the social-environmental support may reduce anxiety and improve the QoL for those living in an area heavily affected by the pandemic.