The purpose of this study was to identify the existing level of self-regulated learning (SRL) among Thai online learners, to examine the relationship between SRL and academic achievement based on a) course completion and b) course grades, and to investigate differences in SRL as they correlate to demographic factors. A mixed-methods research design with modified MSLQ online surveys and semi-structured interviews was used during the process of data collection. One hundred eighty-eight of the 580 online learners enrolled in the certificate programs of the Thailand Cyber University Project responded to the surveys; 7 of these also participated in the interview process. The findings indicated that Thai online learners reported high levels of SRL characteristics. Independent sample t-test results revealed that successful learners were higher in SRL learning strategies than those who did not succeed the course. Results from multiple regression analyses indicated that critical thinking and time/study environmental management were significant predictors of academic course grade with a small effect size (R2 = .113). Comparison of mean differences revealed that some SRL characteristics were different among demographic subgroups determined by factors including gender, age range, marital status, and Internet use; female reported a significantly higher level of task value than male; younger learners had a significantly higher level of test anxiety than older learners; married learners reported a significantly higher level of self-efficacy and task value than single learners; online learners who had more Internet experience reported a significantly higher level of self-efficacy, metacognitive self-regulation, and time/study environmental management than those who had less Internet experience. In addition, the qualitative findings confirmed that participants reported the use of learning strategies in four categories, with a high number of references to metacognitive self-regulation and elaboration, and a low number of references to critical thinking and time/study environmental management. Furthermore, the qualitative results revealed that Thai online learners used different tools for social and personal activities, communication, and information searching.

This study tested a model of the relationship between social-cognitive variables and physical activity in a sample of 277 university students using a prospective design. Results of structural equation modeling indicated a good fit of the social-cognitive model to the data. Self-efficacy had the greatest significant total effect on physical activity, largely through its significant association with self-regulation, which directly predicted physical activity. Social support indirectly predicted physical activity through its significant association with self-efficacy. Outcome expectations had the smallest total effect on physical activity. Overall, the social-cognitive model explained 51 percent of the variance observed in physical activity. / Master of Science

Background: Smartphone addiction can have negative consequences such as anxiety, depression, insomnia, and a loss of social connectivity. Understanding smartphone addiction is still in its early stages, but self-regulation and attention deficit hyperactivity disorder (ADHD) symptoms are two established risk factors. Exploring these risk factors and their impact on individuals’ well-being may help prevent smartphone addiction. Objective: This study aims to (1) explore the relationship between smartphone addiction and psychological and social well-being (e.g., friendship validation and caring, and friendship and intimate exchange) among adolescents. (2) Examine whether self-regulation mediates the relationship between smartphone addiction and psychological well-being and social well-being. (3) Examine whether attention mediates the relationship between smartphone addiction and psychological well-being and social well-being. Methods: This was a cross-sectional study conducted in middle school in Victoria, British Columbia, Canada. Students (Grade 6-8) completed an online survey that measured smartphone addiction, attention, self-regulation, and psychological and social well-being. A bivariate correlational analysis was used to examine the relationship between smartphone addiction, self-regulation, attention psychological well-being, and social well-being. Multiple mediation analyses were used to perform the mediation between smartphone addiction, attention, self-regulation, and psychological and social well-being. Results: The bivariate correlation showed significant negative associations between smartphone addiction and attention, self-regulation, psychological well-being, and friendship validation and caring. Smartphone addiction did not have a significant relationship with friendship intimate exchange. The mediation analysis showed that attention was a significant mediator between smartphone addiction and psychological well-being (indirect effect= -.102; 95% CI -.142, -.066) and between smartphone addiction and friendship validation and caring (indirect effect= -.056; 95% CI -.093, -.024; direct effect= -.071; 95% CI -.155, .013). Attention did not significantly mediate the relationship between smartphone addiction and the friendship intimate exchange aspect of social well-being (indirect effect= -.005; 95% CI -.026, .016). Self-regulation showed a significant partial mediation between smartphone addiction and psychological well-being (indirect effect= -.016; 95% CI -.034, -.002). Self-regulation did not significantly mediate the relationship between smartphone addiction and friendship validation and caring (indirect effect=-.014; 95% CI -.034, .001) and friendship intimate exchange (indirect effect=-.001; 95% CI -.007, .007). Conclusion: The results indicated that the negative relationship between smartphone addiction and psychological well-being can be partially explained by adolescents’ attention and self-regulation abilities. The negative relationship between smartphone addiction and social well-being (validation and caring) can be partially explained by adolescents’ attention. However, both aspects of social well-being (validation and caring and intimate exchange) were not impacted by self-regulation. This study identified potential mediators that may be used for future interventions to prevent smartphone addiction and promote wellbeing. / Graduate

Simple regulatory mechanisms based on the idea of the saturable 'common stomach' can control the regulation of protein foraging and protein allocation in honeybee colonies and colony-level responses to environmental changes. To study the economic benefits of pollen and nectar foraging strategies of honeybees to both plants and honeybees under different environmental conditions, a model was developed and analyzed. Reallocation of the foraging workforce according to the quality and availability of resources (an 'adaptive' strategy used by honeybees) is not only a successful strategy for the bees but also for plants, because intensified pollen foraging after rain periods (when nectar quality is low) compensates a major fraction of the pollination flights lost during the rain. The 'adaptive' strategy performed better than the'fixed' (steady, minimalistic, and non-adaptive foraging without feedback) or the 'proactive' (stockpiling in anticipation of rain) strategies in brood survival and or in nectar/sugar economics. The time pattern of rain periods has profound effect on the supply-and-demand of proteins. A tropical rain pattern leads to a shortage of the influx of pollen and nectar, but it has a less profound impact on brood mortality than a typical continental rainfall pattern. Allocating more bees for pollen foraging has a detrimental effect on the nectar stores, therefore while saving larvae from starvation the 'proactive' strategy could fail to collect enough nectar for surviving winter.

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Within the psychology of religion, research suggests that religious engagement influences self-regulation, i.e., a person’s ability to pursue goals. Theoretical explanations for this relationship tend to oversimplify both sides of the connection, construing religious engagement narrowly in terms of beliefs and interpreting self-regulation as a matter of self-interested restraint. These conceptual specifications are challenged by perspectives within religious studies that are committed to analyzing religions as ordinary social phenomena and by evidence from psychological studies of normative behavior. This dissertation employs these insights to broaden the theoretical scope of the study of self-regulation through a series of interdisciplinary reviews and an empirical study. To test the relationship between self-regulation and religious engagement, the dissertation presents a cross-sectional study of an online sample of 412 participants. Each participant completed five previously established psychological surveys and experiments that index: how conventional they consider their religiosity; the degree to which they are embedded in obligatory relationships, roughly called “social density”; their endorsement of what Moral Foundations Theory calls “binding” moral intuitions; emotional regulatory capacity; and delayed discounting rates, a common proxy for impulsivity. A series of hierarchical linear regressions showed that conventional religiosity was associated with both emotional regulation and delayed discounting. Delayed discounting and emotional regulation, however, were not associated. Statistical mediation analyses showed that the relationship between conventional religiosity and emotional regulation was fully mediated by social density, but the connection between conventional religiosity and delayed discounting was not influenced by any of the other variables. Collectively these results support the primary argument of this dissertation – that the theoretical focus within psychological research on religious engagement and self-regulation has become unduly narrow in its construal of both concepts. This dissertation concludes by reflecting on these results in light of what we know about formalized inquiries of this kind from the philosophy of science.

Multimedia learning may be more effective than text-only methods. Researchers have not examined the effects of metacognitive strategies on self-regulated learning (SR) within multimedia learning environments (MLE). The purpose of this quasi-experimental study was to examine potential differences in learning and SR skills between students who use a script as a self-assessment tool and students who do not, while creating a conceptual map. The cognitive-affective theory of learning with media was used to frame the study. The sample included 87 secondary school students from a public school in Puerto Rico, enrolled in 11th and 12th grade English courses. Control and treatment groups completed a questionnaire to measure group difference in goal orientations at the beginning of the study. A t-test results indicated differences between the groups in disposition, and motivation variables. SR was measured before and after the implementation process through questionnaires. A 1-way ANOVA showed no differences in SR skills used by both groups. Results showed no differences in learning in both groups. A multiple regression was run to predict learning from group, disposition, and motivation variables. Results indicated the variable group as the most significant predicting the learning process. These results may encourage more research on SR strategies including a focus on different academic content, self-assessment instruments, and variables related to SR in MLE. These findings can contribute to positive social change in guiding teachers, students, and multimedia designers to develop MLE and SR processes to enhance student performance and obtain better academic results.

Developing a computer program is not an easy task. Studies reported that a large number of computer science students decided to change their major due to the extreme challenge in learning programming. Fortunately, studies also reported that learning various self-regulation strategies may help students to continue studying computer science. This study is interested in assessing students’ self-regulation, in specific their task understanding and its revision during programming endeavors. Task understanding is specifically selected because it affects the entire programming endeavor. In this qualitative case study, two female and two male senior computer science students were voluntarily recruited as research participants. They were asked to think aloud while answering five programming problems. Before solving the problem, they had to explain their understanding of the task and after that answer some questions related to their problem-solving process. The participants’ problem-solving process were video and audio-recorded, transcribed, and analyzed. This study found that the participants’ were capable of tailoring their problem-solving approach to the task types, including when understanding the tasks. Given enough time, the participants can understand the problem correctly. When the task is complicated, the participants will gradually update their understanding during the problem-solving endeavor. Some situations may have prevented the participants from understanding the task correctly, including overconfidence, being overwhelmed, utilizing an inappropriate presentation technique, or drawing knowledge from irrelevant experience. Last, the participants tended to be inexperienced in managing unfavorable outcomes.

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