Teaching practices for enhancing self-regulated learning during the COVID-19 pandemic: Measuring scales and predictive model

The main objectives of this research study were to examine the factorial structure of teaching-variable scales to enhance self-regulated learning in students and to estimate a predictive model for teaching practices during the COVID-19 pandemic. The methodology applied contained a psychometric and a predictive design for each phase of the study. A total of 765 professors from six Chilean universities were surveyed. The results showed four scales (beliefs, self-efficacy, knowledge, and teaching practices) with adequate psychometric properties. The variables “self-regulated learning knowledge” and “self-efficacy for promoting self-regulated learning” had indirect effects on the variable “teaching practices for promoting self-regulated learning”, which was a partial mediation type. The estimated mediation model accurately predicted 33.7% of the teaching practices used for boosting self-regulated learning. In conclusion, the present study developed valid and reliable scales along with a predictive model with adequate adjustment that served to improve the understanding of self-regulated learning enhanced by university professors. © 2022

Association Between Self-Regulation of Learning, Forced Labor Insertion, Technological Barriers, and Dropout Intention in Chile

Early dropout and retention of students are critical problems in both secondary and higher education. Existing models that predict the intention to drop out require the incorporation of complex variables strongly related to student success, such as self-regulated learning. Moreover, new possible predictors have emerged in the context of a pandemic. This study set out to validate scales that measure the phases of self-regulation of learning in Chilean secondary school students and determine the association between self-regulation, forced labor insertion, technological barrier, and intention to quit during COVID-19. An instrumental design was carried out, where 251 students participated, and a cross-sectional predictive design with a sample of 171. Results showed adequate psychometric properties in assessment scales for self-regulation. Furthermore, the logistic regression model carried out to predict the dropout intention was significant. The final model showed that external causal attributions, planning self-evaluation, forced labor insertion, and technological barriers were significant predictors, achieving a success rate of 84.8%. In conclusion, although many factors are considered in dropout intention models, this study incorporated self-regulation skills that can be promoted in students and systematically integrated into school programs to help reduce dropout rates in secondary education, therefore contributing to a successful transition to higher education. Copyright © 2021 Sáez-Delgado, Mella-Norambuena, López-Angulo, Olea-González, García-Vásquez and Porter.

Design, Validity and Effect of an Intra-Curricular Program for Facilitating Self-Regulation of Learning Competences in University Students with the Support of the 4Planning App

Background: Smartphone applications have the potential to support university students for the benefit of learning in higher education. Objective: To design and evaluate the effect of an intra-curricular program using a mobile application on self-regulated learning strategies in university students. Method: The 4Planning mobile application was designed following a systematic literature review, expert judgement and application. The instrument to assess the effect of the intervention was the SRL Readiness Practices Scale, with a one-factor structure (CFI = 0.98;TLI = 0.97;RMSEA = 0.05) with reliability of alpha = 0.89. The design was quasi-experimental with pre- and post-test measures and experimental and control groups. The sample consisted of 473 first-year university students (37.02% male) from seven Chilean universities with a mean age of 19.35 (SD = 2.49). Statistical analysis was an ANOVA performed in R software version 4.0.3. Results: Statistically significant differences were identified in the levels of self-regulated learning between the experimental group compared to the control group. Conclusion: The development of the 4Planning app proved to be effective in promoting the development of self-regulated learning strategies in university students.

Psychosocial Characterization and Mental Health in Families of Chilean Students during Physical Isolation by Covid-19

The research objectives were to examine psychosocial and academic variables in families of primary and secondary schoolchildren in southern Chile in physical isolation and to analyze the mental health of parents. A descriptive cross-sectional design was used. Two stages were considered. In the first stage, an ad-hoc survey was applied to 8,102 families. In the second stage, the DASS-21 instrument was applied to a sample of 59. The results of the first stage showed that 40% of the participant families had a member without paid work, an income of less than $ 440, and the majority did not have computer at home. The schoolchildren have felt anxiety, night fears, bad mood or aggressiveness, several of them have not completed schoolwork and reported motivational difficulties. Most of surveyed students have not dedicated enough time to schoolwork and their main activity has been to watch TV series. The second stage showed that the 57.6% of parents presented severe anxiety, 50.8% stress and 83% depression. It is concluded that families lack the resources for the effective development of online education. Specialized actions are required to "mitigate" the impact of physical isolation by Covid-19 on socio-academic and mental health variables in schoolchildren and their families.

Association between teachers’ resilience and emotional intelligence during the COVID-19 outbreak

Introduction/Objective: The resilience and emotional intelligence of teachers are crucial in order to face the daily educational challenges. To determine the association between teacher’s emotional intelligence and resilience during Emergency Remote Learning. Method: A quantitative approach and a cross-sectional predictive non-experimental design were used. Participants were 1329 teachers from Chilean schools. The WLEIS Emotional Intelligence Scale and the RS-14 resilience scale were used. Spearman correlation analyses and Yuen’s test were used for the comparative analysis by sex, and in the case of comparison by specialty the one-way ANOVA test was used;multiple regressions were performed. Results: High levels of resilience and between medium to high emotional intelligence;significant, positive and high relationship between emotional intelligence and resilience. Both in the emotional regulation variable and in the emotional intelligence variable significant differences were found regarding sex and specialty. The results of the predictive model with all emotional intelligence variables as predictors explained 43.5% of the observed variability of resilience. Conclusion: During the pandemic, teachers’ emotional intelligence and resilience are essential for facing the educational adversities and challenges that arise as a consequence of a context susceptible to constant and deregulatory change. © 2022 Fundación Universitaria Konrad Lorenz.