نتایج جستجو برای: self regulated play
تعداد نتایج: 962207 فیلتر نتایج به سال:
Introduction: Poor epistemological beliefs are among the reasons which will lead a person to tiredness, lack of motivation and distrust to personal abilities. This is usually resulted from the fact that individuals with such beliefs image the knowledge as unrelated and confusing elements which surrounded by references and they will never try for learning it. In the recent years, there are high ...
abstract this study aimed at investigating the possible relationship between self-assessment in writing and self-regulation of iranian efl learners. the main purpose of the study was not only to report and inform about this relationship, but also to investigate and find practical outcomes of the incorporation of self-assessment in writing, such as improving writing skill. the research was carr...
procrastination is a widespread phenomenon that has been associated with the most of cognitive, emotional, and motivational factors, about which a clear and integrated picture is still lacking, though. the aim of this study was to use primary established psychological procrastination-related factors in the base of ellis cognitive emotional behavioral approach to examine whether reliable subgrou...
This study examined differences in self-regulation among college-age expert, moderately expert, and non-expert video game players in playing video games for fun. Winne's model of self-regulation (Winne, 2001) guided the study. The main assumption of this study was that expert video game players used more processes of self-regulation than the less-expert players. We surveyed 143 college students...
introduction: in this study, the authors aimed to examine the effects of cooperative learning methods using web quest and team-based learning on students’ self-direction, self-regulation, and academic achievement. methods: this is a comparative study of students taking a course in mental health and psychiatric disorders. in two consecutive years, a group of students were trained using the web q...
Reinforcement learning has been used for training game playing agents. The value function for a complex game must be approximated with a continuous function because the number of states becomes too large to enumerate. Temporal-difference learning with self-play is one method successfully used to derive the value approximation function. Coevolution of the value function is also claimed to yield ...
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