Effects of the group‐regulation promotion approach on students’ individual and collaborative learning performance, perceptions of regulation and regulation behaviours in project‐based tasks

Author(s):  
Chiu‐Lin Lai

Author(s):  
Yugo Hayashi

AbstractResearch on collaborative learning has revealed that peer-collaboration explanation activities facilitate reflection and metacognition and that establishing common ground and successful coordination are keys to realizing effective knowledge-sharing in collaborative learning tasks. Studies on computer-supported collaborative learning have investigated how awareness tools can facilitate coordination within a group and how the use of external facilitation scripts can elicit elaborated knowledge during collaboration. However, the separate and joint effects of these tools on the nature of the collaborative process and performance have rarely been investigated. This study investigates how two facilitation methods—coordination support via learner gaze-awareness feedback and metacognitive suggestion provision via a pedagogical conversational agent (PCA)—are able to enhance the learning process and learning gains. Eighty participants, organized into dyads, were enrolled in a 2 × 2 between-subject study. The first and second factors were the presence of real-time gaze feedback (no vs. visible gaze) and that of a suggestion-providing PCA (no vs. visible agent), respectively. Two evaluation methods were used: namely, dialog analysis of the collaborative process and evaluation of learning gains. The real-time gaze feedback and PCA suggestions facilitated the coordination process, while gaze was relatively more effective in improving the learning gains. Learners in the Gaze-feedback condition achieved superior learning gains upon receiving PCA suggestions. A successful coordination/high learning performance correlation was noted solely for learners receiving visible gaze feedback and PCA suggestions simultaneously (visible gaze/visible agent). This finding has the potential to yield improved collaborative processes and learning gains through integration of these two methods as well as contributing towards design principles for collaborative-learning support systems more generally.



2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Zhan Du ◽  
Jie Su

This paper makes a detailed analysis of the integrated mining algorithm, analyzes the characteristics of curriculum big data, and analyzes the existing problems of the current association rule mining algorithm, as well as the defects and deficiencies when applied to the curriculum data. Aiming at the problem of mining the entire data set by the mining algorithm, this topic proposes the idea of using the K-means algorithm for clustering processing and uses the Ball-tree structure on the basis of the original K-means algorithm to improve the efficiency of the algorithm. The data set is separated into several clusters of an appropriate number. In the flipped classroom, the basic knowledge is put before the class for learning, and the further deepening and practical application of language knowledge is completed in the class. Teachers can give timely guidance when encountering unsolvable difficulties so that students’ learning can be more effective. This new teaching model not only strengthens students’ confidence in learning and increases their interest in learning, but also increases the opportunities for students to interact with teachers and classmates in the classroom, allowing them to construct the meaning of knowledge in the fun of interactive communication. The classroom has become relaxed, lively, and attractive, and students’ sense of autonomy, self-learning ability, and collaborative inquiry ability have also been unknowingly improved. Among the main factors, the willingness to flip, emotional state, leadership role, and online learning input have a significant positive impact on collaborative learning performance, and the sense of competition has a partial negative impact on collaborative learning performance, of which positively affecting individual knowledge mastery. Among the nonmain factors, the degree of difficulty of the course, teacher-student interaction, teacher motivation, and evaluation mechanism have a significant positive impact on collaborative learning performance. Classroom assistive technology has a partial negative impact on collaborative learning performance. From the perspective of group performance, group-level performance considerations such as the quality of group conversations and the degree of group knowledge sharing in collaborative learning performance are more affected by nonsubject factors.



2015 ◽  
Vol 25 (2) ◽  
pp. 361-375 ◽  
Author(s):  
David Gañán ◽  
Santi Caballé ◽  
Jordi Conesa ◽  
Fatos Xhafa

Abstract This contribution proposes software infrastructure to support new types of learning methodologies and resources based on collaborative knowledge engineering by means of an innovative application framework called the virtualized collaborative sessions framework (VCSF). The VCSF helps meet challenging collaborative knowledge engineering requirements in online learning, such as increasing group members’ learning performance during the on-line collaborative learning process. In turn, systematic application of the VCSF platform enriched with semantic knowledge engineering technologies enables e-learning developers to leverage successful collaborative learning experiences in a software reuse fashion while saving development time and effort. The framework is prototyped and successfully tested in real environments, thus showing the software reuse capability and the collaborative knowledge engineering benefits of the VCSF approach. The research reported in this paper was undertaken within the ALICE project funded through the European 7th Framework Program (FP7).



2013 ◽  
Vol 62 ◽  
pp. 102-110 ◽  
Author(s):  
Lorena Blasco-Arcas ◽  
Isabel Buil ◽  
Blanca Hernández-Ortega ◽  
F. Javier Sese




2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ikuo Shimizu ◽  
Yasushi Matsuyama ◽  
Robbert Duvivier ◽  
Cees van der Vleuten

Abstract Background Problem-based learning (PBL) is classified as a collaborative learning approach, wherein students learn while contributing meaning to experiences and interactions with others. An important theoretical fundament of PBL is social interdependence theory (SIT) because positive social interdependence within a group has been found to be key to better learning performance and future attitudes towards team practice. However, most previous studies in health professions education focused on cognitive outcomes, and few studies have focused on collaborative behaviors in PBL groups. The lack of this empirical insight makes implementation of PBL difficult, especially in contexts where there is limited experience with collaborative learning. Therefore, the aim of this study was to elucidate what promotes or hinders positive social interdependence and how the attributes work during PBL. Methods We conducted four focus groups among clinical year medical students (n = 26) who participated in PBL tutorials in the formal curriculum. We asked semi-structured questions that corresponded with the overall concept of SIT. We analyzed the transcript using constructivist grounded theory and developed a model to explain contextual attributes that promote or hinder positive social interdependence in PBL. Results Two contextual attributes of “academic inquisition” and “desire for efficiency” affect social interdependence among a student group in PBL. Academic inquisition is students’ desire to engage in their academic learning, and desire for efficiency is students’ attitude toward learning as an imposed duty and desire to complete it as quickly as possible. These attributes are initially mutually conflicting and constructing social interdependence through multiple steps including inquisition from a case, seeking efficient work, sharing interest in problem solving, expecting mutual contributions, and complementing learning objectives. Conclusion These findings will contribute to understanding collaborative learning environments in PBL and may help explain contexts where PBL is less successful. The model can also be used as a tool to support innovation of PBL as collaborative learning.



2018 ◽  
Vol 36 (4) ◽  
pp. 622-635
Author(s):  
Wen-Shan Lin ◽  
Yi-Ju Wang ◽  
Hong-Ren Chen

Purpose Information technology is widely applied for completing group tasks and enhancing learning in computer-supported collaborative learning (CSCL) environment. Group members not only complete tasks but also learn ideas from other members of the group. These ideas can be better than what individual could come up with. As these ideas are referred as an upward comparison in the perspective of social comparison theory. However, there are limited studies that provide evidence in investigating how social comparison orientation (SCO) perceived by individual learner impacts on learning and group performance. The paper aims to discuss these issues. Design/methodology/approach This study experimentally tackles this problem at both individual and group level. An experimental study was applied in this study. Structural equation modeling and hierarchical linear modeling approaches are used to validate the data. Findings Results of 168 subjects reveal that SCO does have associations with group performance and learning performance respectively. Discussions and implications for literature and practice are given at the end of the paper. Originality/value This study confirms that the social genesis occurs more effectively through social interactions in CSCL. It also extends our understandings about the impacts of SCO. Results reveal that the higher level of SCO adopted by group members, the higher level of social interactions at group level can be triggered. As a result, the group performance can be enhanced. On one hand, these findings bridge the research gap in terms of investigating the notion of SCT on CSCL. On the other hand, it provides a possible solution in alleviating the problem of social loafing as commonly observed in CSCL. Therefore, these findings fulfilled the two research objectives.



2019 ◽  
Vol 58 (3) ◽  
pp. 640-661
Author(s):  
Yoonhee Shin ◽  
Dongsik Kim ◽  
Donggil Song

This study was designed to examine the effects of negotiation scaffolding for solving complex problems, focusing on peer interaction and learning performance in a computer-supported collaborative learning environment. For this research, 38 undergraduate students performed complex tasks using a collaborative discussion tool that implemented scaffolding strategies including the fading of meaning-negotiation scaffolding (MS) and the provision of position-negotiation scaffolding (PS). The participants were assigned to one of the following conditions: (a) MS is not faded and PS is not provided (Group N), (b) MS is faded and PS is not provided (Group F), (c) MS is not faded and PS is provided (Group P), and (d) MS is faded and PS is provided (Group FP). All groups worked in pairs to complete a comprehension task and a lesson-planning task. The results revealed that Group FP outperformed the others, showing the highest learning performance and a significant increase in meaningful peer interactions, such as divergent and reflective types of discussion.



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