Behavioral Self-regulation Research Articles

Observed child behavioral self-regulation and maternal supportive parenting are associated with dynamic physiological stress reactivity in preschoolers.

This study sought to advance our understanding of how observed child self-regulation, parenting, and their interaction were associated with children's dynamic physiological stress reactivity indexed by respiratory sinus arrhythmia (RSA) reactivity trajectories. Participants were 85 three-year-old children (54% female) and their mothers oversampled for lower income, higher stressful life events, and higher child maltreatment risk. Child behavioral regulation, assessed as compliance and noncompliance, and maternal supportive parenting were observed during a challenging dyadic puzzle task. Results showed that child RSA exhibited quadratic change across the task on average, characterized by an expected initial decrease and subsequent recovery. Child behavioral regulation and its interaction with maternal supportive parenting were associated with interindividual differences in child RSA reactivity trajectories after controlling for child resting RSA. Children with higher compliance or lower noncompliance showed RSA decreases in response to task stressors but exhibited subsequent RSA recovery only when mothers displayed higher supportive parenting. Children with lower compliance or higher noncompliance displayed negligible RSA changes overall across the task, suggesting blunted or compromised RSA reactivity, regardless of supportive parenting levels. These findings demonstrate novel evidence that preschoolers' better behavioral regulation is related to their more adaptive physiological reactivity to stressors and that supportive parenting is needed to facilitate physiological recovery even in relatively better-regulated preschoolers. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Home‑rearing environment and preschoolers’ academic and behavioral competence: The indirect role of children’s screen time

The home-rearing environment (HRE) is significantly related to preschoolers’ academic and behavioral development. Children’s screen time has become an increasingly important aspect of the family environment in today’s digital age. However, few studies explored screen time’s indirect role in the relationships between HRE and children’s development. This study was conducted in three provinces of China, and 825 child-parent dyads participated. The results indicated that a high-quality HRE is directly associated with better language and cognitive skills, self-regulation, self-efficacy, and fewer problem behaviors in children. Screen time has an indirect role in this relationship, suggesting that a better HRE associated with lower screen time improves children’s outcomes. However, the HRE did not show a significant indirect role through screen time related to children’s problem behavior, indicating other factors may play a role. The study highlights the importance of fostering enriching home environments and managing screen time to support children’s development.

Forecasting emotions: exploring the relationship between self-control, affective forecasting, and self-regulatory behavior

AbstractEmpirical evidence has shown that people with better self-control to a greater extent have the self-regulatory ability to act in line with their long-term goals. In this pre-registered study, the relationship between self-control and self-regulatory behavior was investigated both directly and indirectly, i.e., through affective forecasting ability. This is of great interest as it is necessary to be able to forecast one’s emotional response to future events in order to make choices that maximize one’s happiness. However, in a laboratory experiment with undergraduate students, I found no evidence of self-control being associated with affective forecasting ability, or that people with better self-control more often acted in a way that maximized their expected happiness.

Analysing and predicting learning behaviours in computer science: A case study of the blended teaching mode in Digital Signal Processing course

Blended learning is the latest and inevitable trend in the development of education. Although blended learning research is on the rise, fewer studies examine the learning behaviour of college students in blended learning environments. This study aimed to investigate the learning behaviours of students in the field of computer science and examine these behaviours using data mining algorithms, taking the teaching practice of the Digital Signal Processing course as a case study. A total of 18 behavioural indicators were extracted and divided into three categories: basic learning behaviours, self-regulated learning behaviours, and extended learning behaviours. Data analysis of the behavioural indicators yielded the following conclusions: (1) Students did not have the habit of watching course playback and were less receptive to multiple online learning platforms; (2) Students’ midterm performance and duration of livestream watching directly affected their basic learning behaviours, with all indicators of self-regulated and extended learning behaviours showing significant correlations; (3) The clustering of learning behaviours yielded four different learner patterns, which calls for personalised teaching strategies; (4) The random forest algorithm had an accuracy of 95.4% in predicting performance of the four types of learners.

Supplemental Material for Observed Child Behavioral Self-Regulation and Maternal Supportive Parenting are Associated With Dynamic Physiological Stress Reactivity in Preschoolers

Supplemental Material for Observed Child Behavioral Self-Regulation and Maternal Supportive Parenting are Associated With Dynamic Physiological Stress Reactivity in Preschoolers

The hustle is real: an examination of the self-related consequences of consuming idealized self-promotional content on LinkedIn

PurposeEveryday users of professional networks such as LinkedIn are flooded by posts presenting the achievements of their connections (e.g. I got a new job/award). The present research takes a self-discrepancy perspective to examine the mixed-emotional and behavioral consequences of viewing such idealized self-promotional content on professional networks.Design/methodology/approachThe emotional and behavioral consequences following viewership of idealized self-promotional content on LinkedIn are explored through one pilot study (N = 109) and one online experiment (N = 714), which is evaluated using structural equation modeling.FindingsViewership of idealized self-promotional content on professional social networking sites acts as an emotional double-edged sword for LinkedIn users. Users feel both dejection and symhedonia (i.e. happiness for others), dependent on their reported career-based self-discrepancy. We find the experience of symhedonia to be bound by the relational closeness of the poster (acquaintance vs close friend). Furthermore, we show how resultant emotions drive self-regulatory compensatory IT-use behaviors (i.e. direct resolution, fluid compensation, dissociation, and escapism).Originality/valueWe offer four distinct contributions. Firstly, we disentangle inconsistent findings of mixed emotions by introducing symhedonia to IT literature. Secondly, we investigate the boundary condition of relational closeness. Thirdly, we extend our findings by investigating compensatory-consumption behaviors that stem from mixed-affective outcomes. Finally, we do so in the context of professional networks, which are greatly understudied and are distinctive from personal networks. Practical implications are discussed.

A Framework for Evaluating Online Degree Programs Through Student Satisfaction

Student satisfaction is a key indicator in evaluating any degree program's performance. In light of the vast difference between online and traditional degree programs, the factors that affect student satisfaction may vary across different courses. Based on the previous literature, this study explores the factors that may affect student satisfaction with online degree programs. A structured framework is proposed for evaluating online degree programs, including six big categories of factors and three outcome variables related to student satisfaction. Data were collected from an online degree program in a large public university to assess the underlying relationships and identify the key factors affecting student satisfaction. In addition, students’ self-regulated learning behavior was identified as the primary factor leading to the significant difference among the three outcome variables. The implications to school administrators and accreditation bodies were also addressed.

DEVELOPPING POSITIVE VALUE-BASED HEALTHBEHAVIOROF YOUNG STUDENTS

The relevance of the study in this article stems from the problem of shaping the culture of student youth towards a healthy lifestyle, its desire to maintain physical and psychological health to participate actively in the future of society as a whole, as qualified professionals. The purpose of the article is to develop criteria and methods for shaping the positive value-based health behavior at the physical, psychosocial and social levels of student youth. The leading method of research into this problem is a survey of students about influencing factors on their healthcare during their studies, and a method designed to study the peculiarities of the psychological functioning of the personality on the development of O.I. Motkov "Psychological Culture of the Individual" to assess the strength of psychological aspirations by defining existing self-goals, characteristics of self-determination, self-regulation of behavior based on various life situations. The article presents the main criteria and methods for forming in student youth a value-based attitude to health, a culture of psychological healthcare based on a balanced daily regime, a favorable and calm environment during learning, the way of teaching, the opportunity for self-realization, the personal example of a teacher, as well as such criteria as motivational-value, cognitive-informative, creative, creative-communicative, emotional-respectful, cultural-aesthetic. The criteria and methods used to impart knowledge help to develop in future professionals the holistic development of their personality, to preserve psychological, physical and social well-being, which shows the existence of moral values and makes it possible to speak of a trend of their creative, cultural behavior in the framework of psychological health in the future, which has practical significance for the entire educational system

PERSONAL QUALITIES IMPORTANT FOR THE PROFESSIONAL ACTIVITY OF THE MODERN MIDDLE LEVEL MANAGER

The peculiarity of this level of management lies in the fact that the middle level manager is the organizer and supervisor of the process of implementation of decisions and actions taken by high-level managers. The modern management system, along with rapid changes in socio-economic conditions, also makes special demands on the middle level manager. In the conditions of modern imperatives, the focus of attention is on the issue of matching the characteristics of managerial activity and the psychological qualities of the manager, which can be the basis for effective activity and professional development. The professional development of middle-level managers is determined by a unique combination of important professional psychological qualities, namely: emotional intelligence, thinking, voluntary self-regulation, social-communication knowledge. The conducted research works provide an opportunity to state that conscientiousness, self-regulation of behavior, and creativity are important personal qualities for a modern middle level manager. Creativity is also characteristic of middle level managers: it is above average among middle level managers. It means that we can talk about such important professional qualities of a modern middle level manager as conscientiousness, control of behavior and creativity.

The mediating role of self-regulated online learning behaviors: Exploring the impact of personality traits on student engagement

AbstractOnline learning environments have become increasingly prevalent in higher education, necessitating an understanding of factors influencing student engagement. This study examines the mediating role of self-regulated online learning in the relationship between five-factor personality traits and student engagement among university students. A sample of 437 university students from educational sciences, social sciences, and health sciences disciplines participated in the study. Data were collected using ‘The Big Five Inventory’ to assess personality traits, the ‘Self-Regulated Online Learning Questionnaire’ to measure self-regulated online learning, and the ‘Student Engagement Scale in the Online Learning Environment’ to evaluate student engagement. Structural equation modeling with bootstrap analysis was employed to analyze the data. The study findings indicate that the five factor personality traits significantly predict self-regulated online learning. Furthermore, self-regulated online learning is a significant predictor of students’ engagement in the online learning environment. Additionally, the five factor personality traits are found to be significant predictors of student engagement in the online learning environment. Lastly, self-regulated online learning plays a partially mediating role in the relationship between the five factor personality traits and student engagement in the online learning environment. This study underscores the importance of considering individual differences in personality traits and fostering self-regulated learning strategies to enhance student engagement in online learning environments. Understanding these dynamics can inform the design of effective interventions aimed at improving student outcomes in online education.

Exploring the Influence of Chinese College Students’ Self-regulated Learning Behavior on Academic Achievement in Online Education: A Study on the Mediating Role of Online Course Perceptions

Online education offers students a more diverse learning approach. Students can choose courses that suit their learning pace and schedule, without being limited by time and space. Online education provides a self-regulated learning environment where there is no one to supervise them. Self-regulated learning training, along with prompts, activities and supporting tools, can effectively promote the academic achievement of online learning goals. In online learning environments with low levels of support and guidance, it is worth observing and summarizing university students’ self-regulated learning (SRL) behaviors, and further proposing corresponding key strategies to effectively enhance students’ learning outcomes. This study found that SRL behavior has a positive impact on learning outcomes, indicating that training in self-regulated learning significantly contributes to improved learning effectiveness. These findings offer valuable insights for the instructional design and management of online education.

The case for metacognition support in a flipped STEM course

The metacognitive strategies of planning, monitoring, and evaluating can be promoted through systematic reflection to drive self-directed, lifelong learning. This article reports on a three-year study on systematic written reflection within an undergraduate Fluid Mechanics course to promote planning, monitoring, and evaluation. Students were prompted weekly to reflect on their in-class problem-solving, classroom and exam preparation, performance, behaviors, and learning in a flipped classroom at a large southeastern U.S. university. In addition, they received intentional instruction on how to plan, monitor, and evaluate their problem-solving during class. To enable a comparative assessment, a flipped classroom without these interventions was also implemented as a non-experimental cohort. The cohorts were compared using a final exam, concept inventory, and the Metacognitive Activities Inventory (MCAI). The MCAI indicated a significantly higher positive change (pre- to post-course) in self-regulatory behavior for the experimental cohort ( p = 0.037). The weekly reflections were studied using an inductive content analysis to assess students’ self-regulatory behaviors. They were also used to investigate statistical associations between reflection content and course outcomes. This revealed that academic self-discipline via planning, monitoring one's work, or being careful and diligent may be as aligned with course performance in STEM as is practice with the problem-solving itself. The effects for the final exam in the experimental cohort were positive overall as well as statistically or practically significant for various demographic strata. These results provided evidence for the potential enhancement of course performance with metacognition support. A positive shift in students’ perspectives regarding the value of the reflection questions was observed throughout the study. Therefore, as an implementation guide for other educators, the reflection questions and any changes made in posing them to students are discussed chronologically. Overall, the study points to the desirability of providing metacognition support in a STEM course.

Reciprocal Relationship Between Learning Interest and Learning Persistence: Roles of Strategies for Self-Regulated Learning Behaviors and Academic Performance.

Learning interest (internal driving motivation) and learning persistence (explicit behaviors) are important factors affecting students' academic development, yet whether they operate reciprocally and how to bolster them are still issues requiring attention. This study aimed to examine the reciprocal relationship between learning interest and persistence as well as the potential mechanisms behind the relationship from the perspectives of internal self-regulation and external feedback (i.e., academic performance). 510 students (Mage = 13.71, SD = 1.77, 44.1% girls) were tracked for one year using questionnaires. Results showed that higher learning interest was linked to greater subsequent learning persistence and vice versa; and both predicted each other over time indirectly through academic performance and the multiple mediating paths from strategies for self-regulated learning behaviors to academic performance. Ancillary analysis verifies the robustness of these results. The findings not only provide evidence of a dynamic relationship between learning motivation and behaviors, highlighting the important role of positive performance feedback in leading to a benign cycle, but also contribute to understanding the potential avenue (i.e., teaching strategies for self-regulation) for optimizing student learning.

The big five factors as differential predictors of self-regulation, achievement emotions, coping and health behavior in undergraduate students

BackgroundThe aim of this research was to analyze whether the personality factors included in the Big Five model differentially predict the self-regulation and affective states of university students and health.MethodsA total of 637 students completed validated self-report questionnaires. Using an ex post facto design, we conducted linear regression and structural prediction analyses.ResultsThe findings showed that model factors were differential predictors of both self-regulation and affective states. Self-regulation and affective states, in turn, jointly predict emotional performance while learning and even student health. These results allow us to understand, through a holistic predictive model, the differential predictive relationships of all the factors: conscientiousness and extraversion were predictors regulating positive emotionality and health; the openness to experience factor was non-regulating; nonregulating; and agreeableness and neuroticism were dysregulating, hence precursors of negative emotionality and poorer student health.ConclusionsThese results are important because they allow us to infer implications for guidance and psychological health at university.

An LSTM-based prediction model for gradient-descending optimization in virtual learning environments

A virtual learning environment (VLE) is an online learning platform that allows many students, even millions, to study according to their interests without being limited by space and time. Online learning environments have many benefits, but they also have some drawbacks, such as high dropout rates, low engagement, and students' self-regulated behavior. Evaluating and analyzing the students' data generated from online learning platforms can help instructors to understand and monitor students learning progress. In this study, we suggest a predictive model for assessing student success in online learning. We investigate the effect of hyperparameters on the prediction of student learning outcomes in VLEs by the long short-term memory (LSTM) model. A hyperparameter is a parameter that has an impact on prediction results. Two optimization algorithms, adaptive moment estimation (Adam) and Nesterov-accelerated adaptive moment estimation (Nadam), were used to modify the LSTM model's hyperparameters. Based on the findings of research done on the optimization of the LSTM model using the Adam and Nadam algorithm. The average accuracy of the LSTM model using Nadam optimization is 89%, with a maximum accuracy of 93%. The LSTM model with Nadam optimisation performs better than the model with Adam optimisation when predicting students in online learning.

Evaluating and Enhancing an Educational Intervention to Reduce Smallholder Farmers' Exposure to Pesticides in Uganda Through a Digital, Systematic Approach to Behavior Change: Protocol for a Cluster-Randomized Controlled Trial.

Smallholder farmers receive educational interventions on safe pesticide handling by governmental agencies, industries, or nongovernmental organizations to reduce exposure risks. However, existing educational interventions have limited effects on changing behaviors. Targeting psychosocial determinants of behavior change in educational interventions through theory- and evidence-based approaches may enhance their effectiveness. We aim at describing the intervention development and study design of a 3-arm cluster-randomized controlled trial to assess the effects in improving safe pesticide handling and reducing pesticide exposure of (1) an existing educational intervention and (2) a newly developed SMS text messaging intervention based on the Risks, Attitudes, Norms, Abilities, and Self-regulation (RANAS) behavior change approach. We enrolled 539 Ugandan smallholder farmers in 12 clusters (subcounties). The clusters, each with 45 farmers, were randomly allocated to one of the three arms: (1) educational intervention, (2) educational intervention+RANAS-based SMS text messages, or (3) control group. The educational intervention comprised a 2-day workshop that targeted multiple aspects of safe pesticide handling, whereas the SMS text messages targeted the use of personal protective equipment (PPE) and were based on the RANAS approach. For intervention development in this study, this approach includes identifying psychosocial determinants of PPE use at baseline and selecting behavior change techniques to target them in SMS text messages. The primary outcomes of the study are (1) pesticide knowledge, attitude, and practice scores indicating performance throughout the educational intervention; and (2) frequency of PPE use. Secondary outcomes are the RANAS-based behavioral determinants of PPE use, the frequency of glove use, algorithm-based pesticide exposure intensity scores, and signs and symptoms of pesticide poisoning. The outcomes were assessed in structured interviews before the intervention (baseline) and at the 12-month follow-up. The effect of the interventions among the arms will be analyzed using the intervention arms and baseline measures as predictors and the follow-up measures as outcomes in linear multivariable mixed models including the clusters as random effects. The mediating psychosocial determinants of the interventions will be assessed in multiple mediation models. The study was conducted from 2020 to 2021-baseline interviews were conducted in October 2020, and the educational intervention was delivered in November 2020. The RANAS-based SMS text messages were developed based on the baseline data for relevant behavioral determinants of PPE use and sent between February 2021 and September 2021. Follow-up interviews were conducted in October 2021. Overall, 539 farmers were enrolled in the study at baseline; 8.3% (45/539) were lost to follow-up by the end of the study. This study will contribute to a better understanding of the effectiveness and behavior change mechanisms of educational interventions by using an experimental, cluster-randomized study design to improve pesticide handling among smallholder farmers. International Standard Randomised Controlled Trial Number (ISRCTN) 18237656; https://doi.org/10.1186/ISRCTN18237656. DERR1-10.2196/55238.

Who gets an annual review for coeliac disease? Patients with lower health literacy and lower dietary adherence consider them important.

A lifelong gluten-free (GF) diet to manage coeliac disease is recognised to be challenging. This paper comprises two studies: study one aimed to report the opinions of adults with coeliac disease on review provision and explore factors influencing dietary adherence. Study two aimed to report dietetic provision for adults with coeliac disease. A cross-sectional online survey was completed by 722 adults with coeliac disease, including validated dietary adherence, health literacy and quality-of-life questionnaires. An online and paper survey designed to capture the provision of dietetic services to adults with coeliac disease was completed by 88 dietetic departments within the United Kingdom. Only 26% of adults with coeliac disease were offered annual reviews. In contrast, 85% considered reviews important, with 62% preferring dietetic provision. Those who considered reviews important had lower health literacy, greater dietary burden, poorer GF dietary adherence and lower GF food knowledge (all p < 0.05) compared with those who did not consider reviews important. GF dietary adherence was associated with health literacy, self-regulatory behaviours, dietary burden and GF food knowledge; 53% agreed with the 'cost of GF food restricts what I eat'; they had poorer GF dietary adherence compared with those who disagreed (p < 0.001). More than 72% of dietetic coeliac review provision provided content on improving access to GF foods and eating out of the home. A subpopulation of adults with coeliac disease have a greater need for support and guidance, which supports the viewpoint that limited resources should be targeted towards patients with the most need for support to enable successful disease management.

На пути к успеху: мотивация и ресурсы саморегуляции как предикторы академической успешности студентов

&lt;p&gt;Currently, the higher education system is constantly changing: the education of increasing number of students is becoming associated with the use of distance technologies, which is why it is so important to identify motivational factors that have a potential impact on the academic success of students of different forms of education. The sample of the study consisted of 114 students of different forms of education (74 extramural students with the use of E-Learning and Distance Educational Technologies and 40 full-time students). Two indicators were used to measure academic achievements: the average score for all previous examination sessions and the self-appraisal of learning scale of the questionnaire by T.V. Kornilova et al. The Academic Motivation Scale (AMS) was used to study the motivational-semantic component, the Brief Self-Control Scale and the Style of self-regulation of behavior &amp;ndash; SSRB 2020 questionnaire were used to study the motivational-regulatory component. The Explanatory Style of Successes and Failures (ESSF) technique and the General Self-Efficacy Scale by R. Schwarzer and M. Yerusalem, adapted by V.G. Romek, were used to study the cognitive-motivational component, the persistence and perseverance scale (Grit) was used to study the integrative component. The results showed that if strong internal motivation prevails, it sufficiently determines academic success, but if motivation is lacking or is external, other components, namely self-regulation resources and the style of explaining successes and failures in achievement activities, help to increase academic success. At the same time, the influence of the form of education was not revealed.&lt;/p&gt;

Exploring novel approaches to digital self-regulated learning: a study on the use of mobile applications among Polish and Turkish EFL pre-service teachers

AbstractThis study explores the digital self-regulatory practices of English as a Foreign Language (EFL) pre-service teachers via mobile applications in the post-pandemic era. The research is motivated by the need to address the absence of literature on the self-regulatory learning behaviours of EFL pre-service teachers in the aftermath of the pandemic-induced shift to online learning. The study participants were Polish and Turkish EFL students aged between 19 and 23, enrolled at state universities in Poland and Turkey. A validated online survey tool was developed and utilised for data collection based on the piloting phase of the study. The survey employed a combination of multiple-choice and 5-point Likert scale questions to examine participants’ interaction with different types of self-regulated applications after the pandemic. The findings revealed that Duolingo was the most widely used application. This underscored the importance of listening as the most frequently used language skill. The study also revealed a shift in learning patterns among participants following the pandemic as evidenced by the technologies available. Overall, the main findings of this study may serve as significant impetus for further research on pandemic-related changes in digital self-regulated learning practices among EFL learners globally. The results of the study might find broad implications for example for development of a new generation of MOOCs responding various needs of learners as well as incorporating elements of self-regulation into the traditional EFL class to increase its efficiency.

Особенности тревожности и саморегуляции психической деятельности в виртуальной среде

&lt;p&gt;The problem of anxiety research is the most relevant in Russian psychology. High rates of anxiety lead to a decrease in the efficiency and productivity of people's activities, to difficulties in their socialization and interpersonal communication. An important task of modern science and practice is the timely diagnosis of anxiety of subjects and the development of productive methods and techniques for regulating their behavior. The empirical study is devoted to the study of the peculiarities of self-regulation of mental activity and anxiety of subjects in a virtual environment (students aged 18-23 years). As part of the diagnostic stage, the methodology of Ch.D. Spielberger - Yu.L. Khanin and the questionnaire "Style of self-regulation of behavior" (SSPM) by V.I. Morosanova were used. At the formative stage, students were involved in conducting virtual reality programs from the first person. The reliability of differences in indicators of situational anxiety (p = 0.000711, (p &amp;le; 0.05)), personal anxiety (p = 0.000609, (p &amp;le; 0.05)) and behavioral styles on all scales after the subjects' work in a virtual environment was confirmed by the Wilcoxon statistical criterion.&lt;/p&gt;