University students' profiles of burnout symptoms amid the COVID-19 pandemic in Germany and their relation to concurrent study behavior and experiences.

Burnout symptoms are prevalent among university students. This study examined students' understudied profiles of burnout symptoms and their relation to procrastination, dropout intentions, and study- and life satisfaction. We used cross-sectional data from two online-studies conducted in Germany in April 2020 amid the COVID-19 pandemic (N study1 = 597, N study2 = 857). Latent profile analyses indicated three profiles in both studies: (1) well-functioning, (2) moderately exhausted-inefficacious, and (3) burned-out. Most students belonged to Profiles 1 and 2 with low to moderate burnout symptoms. Students in Profile 3 reported the highest symptoms, most procrastination, strongest dropout intentions, and lowest study- and life satisfaction. The distinct profiles broaden knowledge about intra-individual differences in students' burnout experiences and underpin the need for tailored interventions.

Study satisfaction among university students during the COVID-19 pandemic: Longitudinal development and personal-contextual predictors.

The COVID-19 pandemic challenges the well-being and academic success of many students. Yet, little is known about students' study satisfaction during the COVID-19 pandemic, a multilayered construct which accounts for students' subjective cognitive well-being and academic success. Besides, previous studies on study satisfaction are mostly cross-sectional and hardly consider the distinct subdimensions of this construct. Therefore, our main goal in this study was to shed light on the understudied development of the subdimensions of study satisfaction (i.e., satisfaction with study content, conditions of studying, and coping with study-related stress) in two semesters amid the COVID-19 pandemic. Additionally, we examined how particular personal (i.e., gender, age, GPA, intrinsic motivation, motivational cost, and academic procrastination) and contextual (i.e., loneliness) factors are related to these subdimensions. We conducted two panel studies with convenience and purposeful samples of university students in Germany (N study1 = 837; N study2 = 719). Participants responded online to questions on each of the subdimensions of study satisfaction at the beginning, middle, and end of each semester but responded to measures of personal and contextual factors only at the beginning of each semester. In both studies, manifest growth curve models indicated a decrease in all subdimensions of study satisfaction as the semester progressed. Generally, gender (male) and intrinsic motivation were positive predictors but age (younger students), motivational cost, and loneliness were negative predictors of different subdimensions of study satisfaction - particularly satisfaction with study content. Overall, motivational costs and loneliness were the most consistent predictors of all subdimensions of study satisfaction across both studies. Our findings provide support for the understanding that study satisfaction could diminish in the face of challenging situations such as in this pandemic. The present study also highlights certain personal and contextual factors that relate to study satisfaction and calls for intensive research into the multidimensional construct of study satisfaction.

"I'll stop procrastinating now!" Fostering specific processes of self-regulated learning to reduce academic procrastination.

Academic procrastination is considered to be a result of self-regulation failure having detrimental effects on students' well-being and academic performance. In the present study, we developed and evaluated a group training that aimed to reduce academic procrastination. We based the training on a cyclical process model of self-regulated learning, thus, focusing on improving deficient processes of self-regulated learning among academic procrastinators (e.g., time management, dealing with distractions). The training comprised five sessions and took place once a week for 90 min in groups of no more than 10 students. Overall, 106 students completed the training. We evaluated the training using a comprehensive control group design with repeated measures (three points of measurement); the control group was trained after the intervention group's training. The results showed that our training was successful. The trained intervention group significantly reduced academic procrastination and improved specific processes of self-regulated learning (e.g., time management, concentration), whereas the untrained control group showed no change regarding these variables. After the control group had also been trained, the control group also showed the expected favorable changes. The students rated the training overall as good and found it recommendable for procrastinating friends. Hence, fostering self-regulatory processes in our intervention was a successful attempt to support students in reducing academic procrastination. The evaluation of the training encourages us to adapt the training for different groups of procrastinators.