The present study aims to (1) identify the profiles of subjective well-being (SWB) and psychological well-being (PWB) in a sample of pre-service teachers during the second wave of the COVID-19 pandemic in Hong Kong, and (2) explore how different profiles are linked with teachers’ self-efficacy. Participants were 291 pre-service teachers (Mage = 21.295, SD = 2.812, female = 89.903%) who were invited to complete self-report measures of SWB, PWB, and teachers’ self-efficacy. Latent profile analysis with maximum likelihood estimation was conducted to identify well-being profiles that emerged in this sample. The results suggested a 3-class model with a high, moderate, and low well-being group. The findings also revealed that the pre-service teachers’ well-being profiles as reflected by SWB and PWB indicators were consistent. Moreover, the pre-service teachers in the higher well-being group reported higher teaching self-efficacy than those in the lower well-being group. Findings highlighted the benefits of supporting pre-service teachers’ well-being (i.e., SWB and PWB) to maintain their teachers’ self-efficacy during the COVID-19 pandemic when teacher education and practicum are significantly disrupted. Interventions targeting various positive psychological skills (e.g., mindfulness, self-compassion, and positive reappraisal) are warranted. Future investigation is needed to examine the longitudinal relationship between pre-service teachers’ well-being and self-efficacy. Copyright © 2022 The Author(s).

Based on self-reported cognitive, metacognitive, and behavioural strategy measures obtained from 828 final-year students from a university in Hong Kong, latent profile analysis (LPA) identified four distinct types of students with differential self-regulated learning strategy orientations: competent self-regulated learners, cognitive-oriented self-regulated learners, behavioural-oriented self-regulated learners, and minimal self-regulated learners. Students in the competent SRL profile demonstrated the highest levels of academic self-concept, motivation, attitude, and the lowest level of test anxiety and best academic performance. Multinomial logistic regression analysis also indicated that learning experience factors (teaching quality, clear goals and standards, appropriate assessment and workload) were significant predictors of SRL profile membership. The profiling of student self-regulated learning strategies resulted in enhanced understanding of the complex range of processes students employ and offered new insights into this emerging area of student learning.
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http://dx.doi.org/10.1080/03075079.2014.880832]