首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到20条相似文献,搜索用时 359 毫秒
1.
Effectively regulating negative emotions is important for successful self-regulated learning. However, research has hardly examined which emotion regulation strategies benefit self-regulated learning. In an experimental study, it was examined whether positive reappraisal facilitates self-regulated learning by counterbalancing the depletion of self-control resources. Sixty-one university students engaged in either positive reappraisal or expressive suppression to regulate negative emotions induced by a film clip and then worked on a self-regulated learning task. Participants who engaged in positive reappraisal experienced more positive emotions after the film and had more self-control resources available than participants who used expressive suppression. Moreover, positive reappraisal increased skin conductance during emotion regulation, as compared to expressive suppression. Irrespective of emotion regulation type, positive emotions predicted post-film availability of self-control resources which was positively associated with subsequent self-regulated learning. The results demonstrate beneficial affective and resource-related consequences of positive reappraisal as well as its potential for fostering self-regulated learning.  相似文献   

2.
Recent research has expanded understanding of the contribution of emotions to student engagement and achievement. Achievement emotions can be conceptualized as general ways of responding to achievement settings or specific emotional states aroused during a specific learning activity. Emotion processes can be distinguished as positive or negative, activating or deactivating. Using data from an international survey of science achievement (PISA 2006; N > 400,000 15-year-old students from 57 countries), relations between the positive, activating achievement emotion of enjoyment and a number of variables that combine with enjoyment to define students’ engagement with learning science are examined. Previously, we reported that enjoyment is central to relations between interest in science, value and knowledge, and students’ reported current and future engagement. The embedded attitudinal items from PISA 2006 allow testing of how enjoyment contributes to a more direct measure of engagement with science by assessing students’ interest in finding out more about the specific topics used to measure their science achievement. In this investigation, structural equation modeling is used to test predictions based on Hidi and Renninger’s (2006) four-phase model of interest development, and Pekrun’s (2006) control-value theory of achievement emotions.  相似文献   

3.
4.
Understanding emotions in technology-based learning environments (TBLEs) has become a paramount goal across different research communities, but to date, these have operated in relative isolation. Based on control-value theory (Pekrun, 2006), we reviewed 186 studies examining emotions in TBLEs that were published between 1965 and 2018. We extracted effect sizes quantifying relations between emotions (enjoyment, curiosity/interest, anxiety, anger/frustration, confusion, boredom) and their antecedents (control-value appraisals, prior knowledge, gender, TBLE characteristics) and outcomes (engagement, learning strategies, achievement). Mean effects largely supported hypotheses (e.g., positive relations between enjoyment and appraisals, achievement, and cognitive support) and remained relatively stable across moderators. These findings imply that levels of emotions differ across TBLEs, but that their functional relations with appraisals and learning are equivalent across environments. Implications for research and designing emotionally sound TBLEs are discussed.  相似文献   

5.
在线讨论作为在线学习的重要组成部分,其产生的文本数据可以反映学习者的认知水平、互动质量以及情绪状态。学习情绪影响认知行为,从而影响学习成效,研究学习情绪和认知行为之间的关系非常重要。文章基于Harris等人的情绪分类法和蔡今中的认知分类体系,使用内容分析法和滞后序列分析法研究学习者的动态学习情绪、认知行为序列模式以及学习情绪和认知行为之间的关系。研究表明:困惑情绪和消极情绪会转化为积极情绪,但是中性情绪不会转化为积极情绪;学习者倾向于呈现描述行为和推断或解释行为,且认知行为序列模式具有渐进性特征;描述行为会引发消极情绪,比较行为、推断或解释行为会引发积极情绪。教师可根据学习者的行为转换情况进行适当的指导和干预,以提升学习者的学习效果。  相似文献   

6.
We propose a theoretical model linking students' epistemic beliefs, epistemic emotions, learning strategies, and learning outcomes. The model was tested across two studies with 439 post-secondary students from Canada, the United States, and Germany for Study 1, and 56 students from Canada for Study 2. For Study 1, students self-reported their epistemic beliefs about climate change, read four conflicting documents about the causes and consequences of climate change, self-reported their epistemic emotions and learning strategies used to learn the content, and were given an inference verification test to measure learning. Study 2 used the same procedure but added a think aloud protocol to capture self-regulatory processes and emotions as they occurred. Path analyses revealed that epistemic beliefs served as important antecedents to the epistemic emotions students experienced during learning. Students who believed that the justification of knowledge about climate change requires critical evaluation of multiple sources experienced higher levels of enjoyment and curiosity, and lower levels of boredom when confronted with conflicting information. A belief in the complexity of this knowledge was related to lower levels of confusion, anxiety, and boredom. A belief in the uncertainty of this knowledge predicted lower levels of anxiety and frustration, and a belief in the active construction of knowledge predicted lower levels of confusion. Epistemic emotions predicted the types of learning strategies students used to learn the content and mediated relations between epistemic beliefs and learning strategies. Learning strategies predicted learning outcomes and mediated relations between epistemic emotions and learning outcomes. Implications for research on epistemic beliefs, epistemic emotions, and students' self-regulated learning are discussed.  相似文献   

7.
The aim of this article is to map the academic emotional learning cycle from a theoretical and practical perspective through the lens of self-regulated learning. Focusing on the learner, a further iteration of the emotional dimension of the integrated self-regulated learning model is articulated by considering within-individual components (i.e., the intraindividual system). Academic emotions are considered an important component of learning that, along with intellectual behavioral-cognitive goals, should be explicit targets of learning. An emotional learning cycle is presented, according to which broader affective inclinations––the expectation to experience certain affect or emotion––shape the relations between emotions and self-regulated emotions that occur during a learning episode. Strategies for self-regulated emotions are outlined in light of the need for more research in this field, along with proposed future directions for research and educational implications.  相似文献   

8.
Motivation and emotion are of critical importance for students' academic learning and achievement. Drawing on Eccles and Wigfield's situated expectancy-value theory and Pekrun's control-value theory, we examined to what extent specific expectancy-value appraisals related to studentsʼ achievement emotions. We collected intensive state data of N = 95 university students over one semester in an online learning environment. Students' appraisals were analyzed on different aggregation levels in a hierarchical design, which accounts for variability within learning situations and between students. Our results corroborated theoretical assumptions that expectancy-value appraisals are positively associated with positive emotions and negatively with negative emotions. However, we found that students experienced positive emotions in learning situations of high intrinsic and utility value, but not in situations of high attainment value. Examining appraisal combinations and discrete emotions, we found that particularly studentsʼ perceived costs moderated the relationship between expectancy and frustration and boredom on the situation level.  相似文献   

9.
We designed and developed an emotion control treatment and investigated its effects on college students’ academic emotions, motivation, and achievement in an online remedial mathematics course. The treatment group showed more positive emotions of enjoyment and pride than the control group. The treatment group also showed a higher level of motivation than the control group but there was no difference between the two groups in achievement. Implications for the design and development of interventions or systems for students’ emotion control are discussed.  相似文献   

10.
Blended learning (BL) is a popular e-Learning model in higher education that has the potential to take advantage of learning analytics (LA) to support student learning. This study utilized LA to investigate fourth-year undergraduates' (n = 157) use of self-regulated learning (SRL) within the online components of a previously unexamined BL discipline, Music Teacher Education. SRL behaviors were captured unobtrusively in real time through students' interaction with course materials in Moodle. Categorized by function: (1) activating—online access location, day-of-the-week, time-of-day; (2) sustaining—online frequency; and (3) structuring—online regularity and exam review patterns, all six SRL behaviors were revealed to have weak to moderate significant relationships with academic achievement. Results indicated access day-of-the-week and access frequency as the strongest predictors for student success. Findings regarding access regularity when viewed through results from previous SRL-LA research may suggest the importance of this SRL behavior for successful students within several BL discipline areas. In addition, the role of learning design (eg, flipped instruction) in potentially scaffolding students' choices toward specific SRL behaviors, was revealed as an important context for future researchers' consideration.  相似文献   

11.
The goal of this study was to investigate 65 students' evidence scores of emotions while they engaged in cognitive and metacognitive self-regulated learning processes as they learned about the circulatory system with MetaTutor, a hypermedia-based intelligent tutoring system. We coded for the accuracy of detecting students’ cognitive and metacognitive processes, and examined how the computed scores related to mean evidence scores of emotions and overall learning. Results indicated that mean evidence score of surprise negatively predicted the accuracy of making a metacognitive judgment, and mean evidence score of frustration positively predicted the accuracy of taking notes, a cognitive learning strategy. These results have implications for understanding the beneficial role of negative emotions during learning with advanced learning technologies. Future directions include providing students with feedback about the benefits of both positive and negative emotions during learning and how to regulate specific emotions to ensure the most effective learning experience with advanced learning technologies.  相似文献   

12.
To examine the implications of the transition from face-to-face to online learning from a psychobiological perspective, this study investigated potential differences in physiological stress parameters of students engaged in online or face-to-face learning and determined whether these can be identified as possible mediators between learning experience and achievement emotions. In a randomized experimental field study, medical students (n = 82) attended either regular face-to-face classes of the microscopic anatomy course or the same practical course online using Zoom videoconferencing platform. The present study investigated Heart Rate Variability (HRV) and salivary cortisol concentration as stress correlates, within the contexts of online and face-to-face learning and compared these parameters with a control group that was measured at rest. Additionally, participants completed a standardized questionnaire about their experienced emotions in relation to task achievement and subjective stress levels. A significant reduction in HRV was found in face-to-face learning, suggesting stronger stress responses in the face-to-face learning environment (η2 = 0.421, P < 0.001). Furthermore, participants engaged in face-to-face learning showed significantly higher cortisol concentrations (η2 = 0.115, P = 0.032). Additionally, increased sympathetic activation correlated with the discrete positive emotion of enjoyment exclusively within the face-to-face condition (r = 0.365, P = 0.043). These results indicate that the transfer of a face-to-face practical course in microscopic anatomy to an online learning environment is associated with decreased sympathetic and enhanced vagal cardiovascular influences, together with lower cortisol concentrations in healthy medical students.  相似文献   

13.
Self-regulated learning has emerged as an important new construct in education. Our understanding of self-regulated learning has been informed by three schools of thought: (1) research on learning styles, (2) research on metacognition and regulation styles, and (3) theories of the self, including goal-directed behavior. Based on these schools of thought, a three-layer model is presented. The innermost layer pertains to regulation of the processing modes. The middle layer represents regulation of the learning process. The outermost layer concerns regulation of the self. Educators and researchers would benefit from an integration of these three frames of reference into a comprehensive model of self-regulated learning.  相似文献   

14.
Research has shown that various individual factors play an important role in the underachievement of gifted students. Most often discussed as predictors of underachievement are motivation, learning behavior, and emotions. To examine which specific constructs from these fields simultaneously predict underachievement among gifted fourth graders, logistic regression was performed on data from eighty-five highly intelligent students out of thirty-four classrooms. Students reported on their self-efficacy, learning goal orientation, use of text-reduction strategies, anxiety, boredom, anger, and enjoyment. Emerging predictors of underachievement were self-efficacy, use of text-reduction strategies, and anxiety. As these constructs are all connected to self-regulated learning in different ways, an intervention was implemented which successfully encourages self-regulated learning among students of differing cognitive abilities. Assessing the intervention’s effectiveness for different ability levels was important as the intervention was not a pull-out program, but was integrated into regular classroom instruction in which all students in these classes participated. Results from multilevel longitudinal models showed positive intervention effects for learning behavior among gifted underachievers, but no intervention effects on self-efficacy and anxiety could be detected.  相似文献   

15.
The purpose of this study was to examine the relationship among students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning settings. Two hundred and fifty-six students participated in this study. All participants completed an online survey that included demographic information, the modified motivation strategies learning questionnaire, the online technology self-efficacy scale, the course satisfaction questionnaire, and the final grades. The researchers used structural equation modeling to examine relationships among student characteristics, self-regulated learning, technology self-efficacy, and course outcomes. Based on the results from the final model, students with previous online learning experiences tended to have more effective learning strategies when taking online courses, and hence, had higher levels of motivation in their online courses. In addition, when students had higher levels of motivation in their online courses, their levels of technology self-efficacy and course satisfaction increased. Finally, students with higher levels of technology self-efficacy and course satisfaction also earned better final grades. Based on the findings, we recommend that instructors design courses in a way that can promote students’ self-regulated learning behaviors in online learning settings and that students in online classes, as in traditional classes, set aside a regular time to concentrate on the course. Also, institutions should provide user-friendly online learning platforms and workshops for instructors and students to facilitate the teaching and learning experiences.  相似文献   

16.
As the presence of online and hybrid coursework at institutions of higher education has increased, so too has interest among educators and scholars in understanding personal and contextual factors that predict success in different types of learning environments. The purpose of the present study was to examine the relations among temporally-ordered variables, including beginning-semester self-efficacy, utility value, and relevance of instruction, mid-semester emotions (hope, frustration, and anxiety), and end-of-semester learning strategies in a sample of 291 graduate students (N = 219 for the traditional education group and N = 72 for the distance education group) enrolled in an introductory research methods course. Multigroup path analyses were performed to test the equality of path coefficients among the two groups. Results demonstrate that the groups differed with respect to several paths, including the paths from: extrinsic utility value to anxiety and to hope; relevance to hope; and frustration and anxiety to learning strategies. Implications for research, theory, and practice are discussed.  相似文献   

17.
Enrollment in online remedial mathematics courses has increased in popularity in institutions of higher learning; however, students unskilled in self-regulated learning (SRL) find online remedial mathematics courses particularly challenging. We investigated the role of SRL, specifically motivation, emotion, and learning strategies, in students’ learning experiences in a remedial online mathematics course. With an online survey of 229 college students, we found that student motivation explained a small portion of variance in achievement; whereas student motivation and emotion explained a significant portion of variance in satisfaction. In addition, significant differences in motivation and emotion were found in passing and nonpassing students; however, learning strategies did not influence student achievement and satisfaction. Implications for teaching and learning in self-paced online remedial mathematics courses are discussed.  相似文献   

18.
The aim of the research study reported in this article was to investigate how adult learners talk about their emotions in the context of a year‐long online course, the first online course these adults take, as part of a distance education program. The theoretical and methodological approach focused on formulating an account of how emotion discourses are used by learners, what role they play in online learning, and how they change over a one‐year period (if they do so). The findings of this study provide three insights: (1) they show how adult learners (who also happen to be novice online learners) respond emotionally and talk about their emotions in relation to online learning; (2) they call attention to the ways in which emotion talk changes from the beginning of the course to the end, always in response to specific demands and dimensions of online learning; and (3) they reveal the differential emotional responses between men and women in relation to their social and gender roles and responsibilities. Empirical and policy implications of this study are discussed at the end.  相似文献   

19.
Self- and co-regulation are central elements in skillful student-teacher learning. Studies have confirmed the interrelation between positive academic emotions and student engagement in self-regulated learning. There are also indicators of student-teachers experiencing co-regulative learning activities as highly significant. Yet, we know surprisingly little about the emotional landscape of the self- and co-regulation of learning among student-teachers. Hence, in this study, we explore the kinds of academic emotions that primary school student-teachers experience during self- and co-regulated learning. Altogether 19 Finnish primary school student-teachers were interviewed. The data were qualitatively content analyzed. The results showed that both self- and co-regulated learning experiences were emotionally activating. Student-teachers reported primarily positive emotions (80%) in self- and co-regulated learning. The results also showed that positive activating emotions, such as enthusiasm, were emphasized in all regulatory phases: goal setting and task analysis, strategy use and monitoring, and reflection. Our findings on the high frequency of various positive emotions embedded in self- and co-regulated learning confirmed that positive activating emotions are essential elements in student-teachers self- and co-regulated learning. The findings imply that self- and co-regulated learning can trigger a positive cycle in student-teacher learning in terms of both emotions and productive learning.  相似文献   

20.
声乐艺术是情感的艺术,歌唱者只有以真挚的情感表现艺术形象,才能让听众得到完美的艺术享受.在歌唱教学过程中,学生和老师需要配合默契,学生积极愉快的情感会感染教师,让教师的教学更加兴奋;反之,教师的兴奋和鼓励会让学生更加爱学,形成“教”与“学”的良性循环.歌唱的“教”与“学”中情感培养值得探讨.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号