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1.
This study investigates when and how students activate co- and socially shared emotion and motivation regulation in collaborative learning and whether the S-REG mobile application tool can support this regulation. In a mathematics course, 44 higher education students worked with a collaborative assignment. The S-REG tool traced groups' emotional and motivational states in different sessions, and the occurrence of co-regulation and shared regulation of motivation and emotions were coded from video-recorded collaborative work (44 h). The groups activated more co-regulation than shared regulation of emotions and motivation, but the shared-regulation episodes were longer-lasting. The groups’ emotional and motivational states were associated with the occurrence of co-regulation in the beginning of the learning sessions. The results suggest that the S-REG tool balanced collaboration by prompting the groups to regulate emotions and motivation right in the beginning of the motivationally and emotionally challenging learning sessions.  相似文献   

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This paper examines the mediating role of students’ goals in group work at university. Research on cooperative and collaborative learning has provided empirical support for the cognitive, motivational and social benefits of group work but the antecedents of motivation and ongoing management of emerging motivational and socio‐emotional issues have received less attention. A theory of self‐regulation that incorporates students’ personal goals and perceptions of context, combined with a sociocultural perspective on co‐regulation of individuals and contexts, can help understand why and how some groups resolve their social challenges while others are less successful. An empirical study highlighted the mediating role of students’ goals in their appraisals of group assignments, perceptions of various aspects of the contexts, and in turn regulation strategies to achieve their goals. Qualitative differences were found in the regulation strategies of students with positive and negative appraisals.  相似文献   

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First-year higher education (HE) students experience different challenges during their studies. These challenging learning situations can trigger self-regulated learning (SRL) skills, which students use to handle these situations. Thus, the aim of this study is to investigate (a) first-year HE students’ cognitive, motivational and emotional challenges experienced in both individual and collaborative learning situations and (b) the relationship between SRL skills and experienced learning challenges. Participants included 107 first-year pre-service teachers. Data consisted of students’ self-reports via (a) open-ended answers on a challenge questionnaire and (b) Likert-scale items from MSLQ and MRS questionnaires. Based on students’ SRL profiles, differential effects on the challenging experiences were investigated. The results show that different aspects related to students’ cognition, motivation, emotions and well-being were challenging for students. Also, connections were found between students’ SRL skills and the types of experienced learning challenges. Students with high SRL reported fewer learning challenges related to motivational aspects and more challenges related to cognitive aspects than students with low SRL.  相似文献   

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Collaboration in an online environment can be a socially and emotionally demanding task. It requires group members to engage in a great deal of regulation, where favourable emotions need to be sustained for the group’s productive functioning. The purpose of this cross-case analysis was to examine the interplay of two groups’ regulatory processes, regulatory modes, and socio-emotional interactions that contribute to or are influenced by emotions and socio-emotional climate perceived in the group. Specifically, this study compared a group of 4 students unanimously reporting a positive climate to a group of 4 students unanimously reporting a negative climate after completing a 90-min online text-based collaborative assignment. By drawing on two data channels (i.e., observed regulatory actions and socio-emotional interactions during collaboration and self-reported data about emotional beliefs and perceptions), four contrasting group features emerged: (a) incoming conditions served as a foundation for creating a positive collaborative experience, (b) regulation of emotions during initial planning, (c) negative emotions served as a constraint for shared adaptation in the face of a challenge, and (d) encouragement and motivational statements served as effective strategies for creating a positive climate. Implications for researching and supporting emotion regulation in collaborative learning are discussed.  相似文献   

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Studies show that teachers and students use humour when communicating with each other in a science education context. This study investigates the use of humour during a collaborative inquiry laboratory task on an undergraduate chemistry course and an undergraduate physics course. Seven groups of students working on a collaborative inquiry task were recorded on video. The videos were analysed utilising an analytical framework based on conversation analysis. During the tasks, humour was used in a dynamic way and the role of humour changed as the inquiry progressed. As expected, humour was used to create a group identity and to regulate negative emotions such as anxiety, frustration, uncertainty, boredom and disappointment. Humour also had an integral role in collaborative decision-making, for example in proposing and evaluating new ideas. Awareness of how humour can contribute to the regulation of emotions and collaborative decision-making might help students and teachers to better utilise humour in inquiry and learning.  相似文献   

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This study evaluated the effects of cooperative learning on students' verbal interaction patterns and achievement in a conceptual change instructional model in secondary science. Current conceptual change instructional models recognize the importance of student–student verbal interactions, but lack specific strategies to encourage these interactions. Cooperative learning may provide the necessary strategies. Two sections of low-ability 10th-grade students were designated the experimental and control groups. Students in both sections received identical content instruction on the particle model of matter using conceptual change teaching strategies. Students worked in teacher-assigned small groups on in-class assignments. The experimental section used cooperative learning strategies involving instruction in collaborative skills and group evaluation of assignments. The control section received no collaborative skills training and students were evaluated individually on group work. Gains on achievement were assessed using pre- and posttreatment administrations of an investigator-designed short-answer essay test. The assessment strategies used in this study represent an attempt to measure conceptual change. Achievement was related to students' ability to correctly use appropriate scientific explanations of events and phenomena and to discard use of naive conceptions. Verbal interaction patterns of students working in groups were recorded on videotape and analyzed using an investigator-designed verbal interaction scheme. The targeted verbalizations used in the interaction scheme were derived from the social learning theories of Piaget and Vygotsky. It was found that students using cooperative learning strategies showed greater achievement gains as defined above and made greater use of specific verbal patterns believed to be related to increased learning. The results of the study demonstrated that cooperative learning strategies enhance conceptual change instruction. More research is needed to identify the specific variables mediating the effects of cooperative learning strategies on conceptual change learning. The methods employed in this study may provide some of the tools for this research.  相似文献   

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This study examines the relationships between students’ academic levels, the use of motivational regulation strategies, and cognitive learning strategies. A total of 141 undergraduate and graduate students enrolled in online distance courses participated in the study. The findings show that students use different motivational regulation strategies and cognitive learning strategies depending on their academic levels. Additionally, hierarchical regression analyses using two dependent variables (i.e., surface level learning strategy and deep processing level learning strategy) indicate that a surface level learning strategy (i.e., rehearsal) and deep processing level strategies (i.e., elaboration, organization, and critical thinking) are predicted by different sets of motivational regulation strategies after controlling for academic level and age. The results provide distance educators and instructional designers with practical suggestions on how to support undergraduate and graduate students’ motivational needs and further promote their use of cognitive learning strategies in online distance education programs in higher education.  相似文献   

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Argumentation and scientific discourse are essential aspects of science education and inquiry in the 21st century. Student groups often struggle to enact these critical science skills, particularly with challenging content or tasks. Social regulation of learning research addresses the ways groups attempt to navigate such struggles by collectively planning, monitoring, controlling, and reflecting upon their learning in collaborative settings. Such regulation and argumentation can also elicit socioemotional responses and interactions. However, little is known regarding how regulation processes and socioemotional interactions manifest among students involved in small-group discourse about scientific phenomena. As such, in this qualitative study, we explored social regulation of learning, scientific argumentation discourse, and socioemotional interactions in the discussions of two groups of high school physics students (n = 7, n = 6). We found key qualitative distinctions between the two groups, including how they enacted planning activities, their emphasis on challenging other’s ideas versus building shared understanding, and how socioemotional interactions drove discourse. Commonalities across groups included how regulation initiation related to discourse, as well as how the difficulty of the content hindered, and teacher support augmented, the enactment of social regulation. Finally, we found overlapping regulation and discourse codes that provide a foundation for future work.  相似文献   

10.
This study explores what makes high achievement at a top university in order to gain insights into college learning. For this purpose, institution-wide in-depth interviews were conducted with the 45 highest achievers (GPA of 4.0/4.3 or higher) at a top Korean university, and the interview data were primarily analyzed qualitatively to investigate in-depth determinants. The results revealed that these highest achievers share the following specific cognitive, motivational, and self-regulation strategies: (1) they recorded all of the information provided in class; (2) used a motivational regulation strategy rather than motivation itself; and (3) were highly managerial in their cognition, emotions, physical condition, time management, and interpersonal relationships. These findings were verified by quantitative data obtained from online surveys of 1,111 students at the university. Critical implications and suggestions, such as institutional support, evaluation criteria, cultural differences, and other related issues, were discussed.  相似文献   

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Regulation of the learning process is an important condition for efficient and effective learning. In collaborative learning, students have to regulate their collaborative activities (team regulation) next to the regulation of their own learning process focused on the task at hand (task regulation). In this study, we investigate how support of collaborative inquiry learning can influence the use of regulative activities of students. Furthermore, we explore the possible relations between task regulation, team regulation and learning results. This study involves tenth-grade students who worked in pairs in a collaborative inquiry learning environment that was based on a computer simulation, Collisions, developed in the program SimQuest. Students of the same team worked on two different computers and communicated through chat. Chat logs of students from three different conditions are compared. Students in the first condition did not receive any support at all (Control condition). In the second condition, students received an instruction in effective communication, the RIDE rules (RIDE condition). In the third condition, students were, in addition to receiving the RIDE rules instruction, supported by the Collaborative Hypothesis Tool (CHT), which helped the students with formulating hypotheses together (CHT condition). The results show that students overall used more team regulation than task regulation. In the RIDE condition and the CHT condition, students regulated their team activities most often. Moreover, in the CHT condition the regulation of team activities was positively related to the learning results. We can conclude that different measures of support can enhance the use of team regulative activities, which in turn can lead to better learning results.  相似文献   

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The goal of this study was to investigate the relation between a set of pre-decisional beliefs including students’ task value, self-efficacy, and learning and performance goal orientations and five post-decisional, implementation strategies students use to regulate their effort and persistence for the academic tasks assigned for a specific class. A group of eighth grade students (N=114) completed a self-report survey that assessed these four motivational beliefs and the frequency that they used five motivational regulation strategies including self-consequating, environmental control, interest enhancement, and mastery and performance self-talk. Results from a series of multiple regressions indicated that the motivational beliefs, as a group, could be used to explain students’ reported use of each of the regulatory strategies examined. Further, results indicated that task value, learning goal orientation, and performance goal orientation individually explained three or more of the regulatory strategies, whereas self-efficacy was not related significantly to any of the five regulatory strategies studied. Findings are presented and interpreted in light of their significance for models specifying both motivational and volitional aspects of self-regulation.  相似文献   

14.
There is a growing body of research indicating that students who can self-regulate cognitive, motivational, and behavioral aspects of their academic functioning are more effective as learners. We studied relations between the self-regulation strategies used by a group of Italian students during the final years of high school and their subsequent academic achievement and resilience in pursuing higher education. We used the self-regulated learning interview schedule, which focuses on cognitive, motivational, and behavioral strategies used during academic learning in both classroom and non-classroom contexts. The cognitive self-regulation strategy of organizing and transforming proved to be a significant predictor of the students’ course grades in Italian, mathematics, and technical subjects in high school and in their subsequent average course grades and examinations passed at the university. The motivational self-regulation strategy of self-consequences was a significant predictor of the students’ high school diploma grades and their intention to continue with their education after high school.  相似文献   

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Providing effective motivational support is a critical determinant of a successful online distance learning experience for students in higher education. In this study, we examined how students’ academic level and use of 8 motivational regulation strategies influence 3 types of student engagement: behavioral engagement, emotional engagement, and cognitive engagement. A total of 95 undergraduate and graduate students enrolled in online courses in 4-year universities in the United States participated in this study. A series of hierarchical regression analyses of undergraduate and graduate online students (N = 95) showed that behavioral engagement, emotional engagement, and cognitive engagement are predicted by different motivational regulation strategies after controlling for the academic level. Additionally, students’ academic level was found to be a predictor of cognitive engagement but not a predictor of behavioral engagement or emotional engagement. The results suggest that online course instructors, tutors, and designers should provide students with differentiated motivational scaffolding based on their motivational profile in order to promote different aspects of learning engagement.  相似文献   

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This paper addresses the nature and significance of productive engagement in cognitive activity and metacognitive regulation in collaborative learning tasks that involve complex scientific knowledge. A situative framework, combining the constructs of social regulation and content processing, provided the theoretical basis for the development of a comprehensive coding scheme for interactive data analysis. An empirical study was conducted with two groups of university students working on two science-learning tasks. It examined the function of metacognitive regulation to control the flow of cognitive activity, and the extent to which group differences in cognitive and metacognitive regulation processes during collaborative learning could explain differences in the groups’ learning outcomes. The findings provide validation of the framework and its derived coding scheme. An example of a way in which a group engages in socially shared metacognitive regulation is presented to demonstrate how the coding scheme was applied to the data. Theoretical and empirical implications of the findings are discussed.  相似文献   

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We developed a cognitive-emotional strategy training (CEST) intervention to teach fifth-grade students (N = 57) self-regulated learning strategies that can be used when confusion is experienced during mathematics problem solving in addition to strategies they can implement during learning to help solve them. Fifth-grade students were randomly assigned to the intervention condition or the control condition. A think-emote-aloud protocol was administered to capture self-regulatory processes and emotions as students solved a complex mathematics problem. Using an explanatory mixed methods design, results revealed that, compared to students in the control condition, students who received the intervention scored significantly higher on the mathematics problem, implemented more cognitive and metacognitive learning strategies across the four phases of self-regulated learning, expressed more positive emotions and fewer negative emotions, and were better able to regulate and resolve their confusion when it occurred. These results extend previous findings from the strategy instruction literature by incorporating consideration of the role of emotions during learning.  相似文献   

18.

The present study aimed to examine the specific relations between five motivational regulation strategies (i.e., interest enhancement, environmental control, self-consequating, performance self-talk, mastery self-talk), academic self-concept, and three cognitive learning strategies (i.e., organization, elaboration, rehearsal) of 415 university students. A total of n = 238 students were in the first year of their university program, while n = 178 students were in the mid-term of their university program. Results of correlation analysis revealed that all five motivational regulation strategies were positively related to the three cognitive learning strategies. In contrast, regression analysis showed that organization was only significantly linked to interest enhancement, self-consequating, and performance self-talk, while elaboration was only significantly linked to self-consequating, and rehearsal was only significantly linked to interest enhancement and performance self-talk. Academic self-concept proved to interact with interest enhancement in predicting elaboration. Furthermore, the measurement separability of the three constructs (i.e., motivational regulation strategies, academic self-concept, cognitive learning strategies) and measurement invariance across sample for the five motivational regulation strategies were also supported.

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19.
This study investigates how self-regulated learning phases are related to collaborative engagement in two different collaborative task conditions. It integrates SRL theory and the concept of engagement, including interaction in collaboration, as key characteristics of engagement. Forty-four second-year teacher education students worked in groups during a 7-week math didactic course. We collected 84 h of video recordings and coded the group's cognitive and socioemotional interaction and three phases of self-regulation within interaction, including forethought, performance and reflection. After that we analyzed the relationship between the interaction types representing collaborative engagement and SRL phases within two learning tasks. The results show that collaborative engagement did not differ between teacher-led and student-led tasks in terms of the interaction types. However, the results showed that the SRL phases occurred differently within cognitive and socioemotional interaction types when the two task conditions were compared. Findings concerning teacher-led tasks showed invariance in the occurrence of SRL phases across the task and highlighted the relationship between socioemotional interaction and the forethought phase. Additionally, findings concerning the student-led tasks showed systematic changes in the distribution of phases of SRL across sessions in all interaction types. Our results' theoretical and methodological implications for collaborative engagement research are discussed.  相似文献   

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We examined what events cause emotional reactions when students use a web-based learning environment (WBLE) in their studies, and how the emotions experienced while using the WBLE, emotion regulation strategies and computer self-efficacy are related to collaborative activities in the environment. Lability of emotional reactions and their regulation in advance directed and maintained effective collaborative activities in the web-based learning environment. Further, students experienced a wide range of emotions while using the WBLE and especially the nature of interaction during the activities was important antecedent of the affective reactions. This result underlines that although the presence of technology is very obvious in web-based learning environments, it is not, however, prevailing antecedent of the affective reactions experienced while using such learning environments.  相似文献   

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