Sleep Procrastination literature has focused on the behaviors individuals engage in before going to bed (Bedtime Procrastination) but not on the behaviors individuals engage in after going to bed (While-in-Bed Procrastination). The main goal of this study is to explore whether this While-in-Bed procrastination is a novel phenomenon that adds to the Sleep Procrastination literature. The study was conducted online with 400 high school students (M_age = 16.56; 139 males) recruited through personal contacts and social media. The Bedtime procrastination scale was adapted and validated for this sample, whereas the While-in-Bed Procrastination scale was developed for this study. Data show a low correlation (r = 0.158 **) between Bedtime and While-in-Bed Procrastination scales, suggesting that Sleep Procrastination may be composed of the two facets. Additionally, results showed that more Bedtime Procrastination was related to later waking time and later dinnertime hours, whereas more While-in-Bed Procrastination was linked to being male, later desired time to sleep, and earlier dinnertime hour. Findings indicate that solely assessing Bedtime Procrastination as representing the procrastination of Sleep is limited and overlooks a significant part of this behavior. This exploratory study adds a new perspective to the literature by stressing the role of While-in-Bed Procrastination, thus opening new research pathways.

Academic success is a complex concept comprising not only good academic performance, but also the development of competencies and the accomplishment made by the ends of learning. Among the motivational and attentional variables likely to influence academic success, extant literature reports the relevance of developing self-regulation and attentional control to foster school success. Still, little is known about how to foster attentional control competencies through training on self-regulated learning strategies. The present study aims are twofold: (i) to assess the efficacy of a program targetted to promote self-regulation strategies on attentional control, specifically in selective attention, and (ii) to explore the role of selective attention on arithmetic performance. Participants were 136 fourth grade students, aged from 8 to 11 years old. Of those, 68 were enrolled in a school-based intervention aimed to promote self-regulation. At the end of the intervention, the experimental group showed higher levels of self-regulation and selective attention that were significantly different when compared to the control group. The SR training has influenced positively participants SA with impact on their arithmetic competencies. The findings of this study can provide relevant insight to better understand these variables and to design better in-class practices.

The COVID-19 pandemic has placed today’s society in an unprecedented scenario. During Portugal’s first home confinement period (March–July 2020), the online-based “COVID-19 in Trials and Tribulations” project was implemented to support families with school-aged children. The project was grounded on the self-regulation framework and delivered through Facebook^® and Instagram^® pages. Being responsive to ongoing developments of the pandemic, activities were conveyed in two phases. Phase 1 occurred during lockdown (school was suspended). Phase 2 occurred while students were enrolled in at-distance (online) school. The present study aimed to examine the reach of the project, while examining the content and format of delivery that generated the most engagement among the users (4500 Facebook^® effective followers; 1200 Instagram^® effective followers) during the confinement period. Results showed that, at the individual page level, Facebook^® had higher reach indicators compared to Instagram^®, except for video. At the Facebook^® post level, followers and users showed more engagement with the page prior to the at-distance schooling phase; however, videos still generated engagement (p = 0.002). Both the post type (p < 0.01) and frequency (p < 0.001) of publication were suggested to be good predictors of engagement. The information gathered will help design and inform future interventions that may be implemented as new lockdowns are set in place.