Development of generic student engagement scale in higher education: An application on healthcare students.

AIM: Student engagement is an important factor to the success of higher education. This study aimed to develop a Generic Student Engagement Scale (GSES) for face-to-face and online learning. DESIGN: This was a cross-sectional psychometric study. METHODS: We tested the psychometric properties of GSES in 451 students at the school of nursing and health studies undertaking online and face-to-face learning at a local university in Hong Kong between 2016 and 2018. RESULTS: Content validity, face validity and test-retest reliability of GSES were satisfactory. The 29-item GSES contains five factors "self-regulated learning," "cognitive strategy use," "experienced emotion," "teacher-student interaction," and "enjoyment of school life" with the good model fit. The GSES is a reliable and valid psychometric instrument to measure student engagement in face-to-face and online learning among undergraduates and higher diploma students. Our results implied that student engagement can be assessed in routine or research by using our instrument.

Prediction of problem gambling by demographics, gaming behavior and psychological correlates among gacha gamers: A cross-sectional online survey in Chinese young adults.

Objective: The objective of this study is to explore the association of problem gambling with demographics, psychological distress, and gaming behavior in young adult gacha gamers in Hong Kong. Materials and methods: Cross-sectional data was collected in the first and fifth waves of COVID-19 pandemic in Hong Kong online. Participants who aged 18-25 years and had been playing gacha games over the past 12 months were recruited. Stepwise multiple regression was used to explore the association among risk of problem gambling, gaming behavior, participation in gaming activities and psychological distress. A two-sided p-value <0.05 was considered as statistical significance. Results: Three hundred and thirty-seven completed questionnaires were received with no missing data. 34.7% (n = 117) of the participants had non/low-risk of problem gambling. About 40% (n = 136) of them had moderate-risk and the remaining 25% (n = 84) were at high risk of problem gambling. A higher proportion of female participants (78.6%) were found in high-risk group as compared to 39.7% and 55.6% only in the non/low-risk and moderate-risk groups, respectively. The regression model (R 2 = 0.513, F = 71.895, p < 0.001) showed that 51.3% of the variance of the total problem gambling score could be explained by stress, anxiety, monthly expenses on gacha purchases, number of motives for gacha purchase and number of gambling activities engaged. Conclusion: The present study provides empirical evidence to support the association between problem gambling and microtransaction especially for gacha which is the most popular type of video game microtransaction in Asia. The established regression model suggests that gacha gamers with higher risk of problem gambling tend to have greater stress, higher anxiety level, spend more on gacha purchase, have more motives for gacha purchases and engage in more gambling activities. In contrast to the extant literature, higher proportion of female participants in high-risk group indicates that female gacha gamers are also at very high risk of becoming problem gamblers.