International Journal of Computer-Supported Collaborative Learning最新文献

A key challenge in CSCL research is to find ways to support learners in becoming effective collaborators. While the effectiveness of external collaboration scripts is well established, there is a need for research into support that acknowledges learners’ autonomy during collaboration. In the present study, we compare an external collaboration script and a reflection scaffold to a control condition and examine their effects on learners’ knowledge about effective collaboration and on their groups’ interaction quality. In an experimental study that employed a 1× three-factorial design, 150 university students collaborated in groups of three to solve two information pooling problems. These groups either received an external collaboration script during collaboration, no support during collaboration but a reflection scaffold before beginning to collaborate on the second problem, or no support for their collaboration. Multilevel modeling suggests that learners in the reflection condition gained more knowledge about effective collaboration than learners who collaborated guided by an external collaboration script or learners who did not receive any support. However, we found no effect of the script or the reflection scaffold on the quality of interaction in the subsequent collaboration. Explorative analyses suggest that learners acquired knowledge particularly about those interactions that are required for solving information pooling tasks (e.g., sharing information). We discuss our findings by contrasting the design of the external collaboration script and the reflection scaffold to identify potential mechanisms behind scripting and collaborative reflection and to what extent these forms of support foster collaboration skills and engagement in productive interaction.

In collaborative learning, students may follow different trajectories that evolve over time. This study used a multilayered approach to map the temporal dynamics of online problem-based learning (PBL) and the transition of students’ roles across time over a full year duration. Based on data from 135 dental students across four consecutive courses throughout a full academic year, the students’ discourses were coded based on the community of inquiry (CoI). A mixture model was used to identify students’ roles. The roles identified were leaders, social mediators, and peripheral explorer roles, and they were visualized using epistemic network analysis (ENA). Similar trajectories were identified and visualized using sequence and process mining. The results showed varying activity levels across three trajectories. Students in the active-constructive trajectory took on leadership roles, while the students in the social interactive trajectory were mostly social mediators, and the free rider trajectory showed a predominant peripheral explorer role. The students in all trajectories returned to their initial roles, showing features typical of stable collaborative dispositions. Both active trajectories (active constructive and social interactive) had very close levels of achievement, whereas the free riders demonstrated lower grades compared to their peers. This research suggests that understanding role dynamics and their evolving trajectories can help teachers better design future collaborative activities, assign roles, form groups, distribute tasks, and, more importantly, be able to support students.

An in-depth analysis of collaborative problem solving (CPS) patterns contributes to understand team dynamics and effective paths to conflict resolution. However, there remains the lack of a perspective in the field of CPS research that organically combines the cognitive, meta-cognitive, and social-communicative dimensions. Moreover, the analysis of CPS sequences has primarily focused on the temporal dimension while overlooking the differences in spatial dimensions. To shed further light on the nature of CPS in computer-based environments, this study collected discourse data generated by 24 university students through an online synchronous chat tool. They were student teachers from a variety of disciplines (math, history, English, etc.) who were required to accomplish two tasks: instructional design and multimedia courseware development. Specifically, a three-stage analytical framework was proposed to code, cluster, and analyze these discourse data to further explore the differences in CPS patterns. We clustered time sequences by calculating the distance similarity metric via the dynamic time warping (DTW) method, which took into account both the spatial and temporal characteristics of the time sequences. Consequently, 16 time sequences of CPS processes were divided into 2 kinds of clusters (CPS subgroups), i.e., cluster 1 and cluster 2. From the statistical analysis, both clusters actively used the skills included in the meta-cognitive dimensions. Cluster 1 was oriented toward the solution of the problem whereas cluster 2 focused primarily on the requirements of the collaborative problem itself. From the process mining analysis, solution-driven cluster 1 tended to focus on expressing specific ideas and evaluating and summarizing them, intermittently monitoring and regulating task progress. Problem-driven cluster 2 tended to express specific ideas intermittently, and lacked the process of summarizing and evaluating different ideas to further filter out the best solutions. Finally, we summarized the implications of this study from theoretical and practical perspectives and discussed future research directions with regard to the limitations of this study.

This study analyzed collaborative invention projects by teams of lower-secondary (13–14-year-old) Finnish students. In invention projects, student teams design and make materially embodied collaborative inventions using traditional and digital fabrication technologies. This investigation focused on the student teams’ knowledge creation processes by examining how they applied maker practices (i.e., design process, computer engineering, product design, and science practices) in their co-invention projects and the effects of teacher and peer support. In our investigations, we relied on video data and on-site observations, utilizing and further developing visual data analysis methods. Our findings assist in expanding the scope of computer-supported collaborative learning (CSCL) research toward sociomaterially mediated knowledge creation, revealing the open-ended, nonlinear, and self-organized flow of the co-invention projects that take place around digital devices. Our findings demonstrate the practice-based, knowledge-creating nature of these processes, where computer engineering, product design, and science are deeply entangled with design practices. Furthermore, embodied design practices of sketching, practical experimenting, and working with concrete materials were found to be of the essence to inspire and deepen knowledge creation and advancement of epistemic objects. Our findings also reveal how teachers and peer tutor students can support knowledge creation through co-invention.

In online learning at scale, wherein instructional videos play a central role, interactive tools are often integrated to counteract passive consumption. For example, the forum or discussion board is widely used, and an emerging functionality, danmaku, which enables messages to be synchronized with video playback, has also been utilized recently. To explore how mass participation is accommodated and what categories of interaction learners implement, this study utilizes analysis of interaction and manual content analysis through learner-generated text data from two specific tools employed in a massive open online course (MOOC) setting: the discussion board (N = 739) and danmaku (N = 2435). Results of the analysis of interaction indicate that mass participation is managed differently by the tools: danmaku fosters a collective space for massive participants, while the discussion board organizes them into threaded small groups. In addition, results of the content analysis show danmaku primarily supports indirect interaction with a focus on the socio-emotional dimension, while the discussion board serves as a platform for direct discussions, particularly in the cognitive dimension. Furthermore, within the context of large-scale engagement, various levels of joint interaction, in addition to collaboration, are discerned and discussed in both socio-emotional and cognitive interactions. The findings offer insights for developing sociable and scalable socio-technical environments in computer-supported collaborative learning (CSCL), addressing emerging educational trends. Practical implications for educational design based on these findings are also discussed.

Team cohesion is critical in driving successful outcomes for teams in collaborative learning settings. It shapes team behaviour, fostering shared perceptions, group synchrony and a common goal-oriented approach. This affinity becomes evident in dynamic interactions, offering insights into team behaviour through interaction data analysis. Interpreting interaction data proves complex, hampering our understanding and insights into shared team perceptions and task cohesion development. This paper used temporal motif analysis to examine the changes in team members’ cohesive perceptions and behaviours, including task cohesion, performance outcomes, engagement and group synchrony. Trace data from an online work-integrated learning environment captured learning behaviours, while responses to a questionnaire at different stages of a study program captured task cohesion and cohesive perceptions. The findings reveal teams with strong task cohesion and high performance tend to share similar cohesive perceptions driven by interdependent interactions. Conversely, teams with different cohesion perceptions have lower interaction interdependence and poorer performance. Through analysing team interaction data, this study uncovered key insights to promote positive adjustments aligning team perceptions, enhancing collaborative learning and offering support for improved performance, engagement and synchrony among teams, ultimately benefiting learning outcomes and the cultivation of skills and competencies.

Knowledge building (KB) competencies are crucial for undergraduates’ creative knowledge work and academic success. While there is substantial research on KB discourse, there are limited efforts in examining how KB competencies in the conceptual, metacognitive, socio-emotional, and epistemic dimensions are demonstrated in KB discourse and how the competencies can be scaffolded. Previous studies suggest the effectiveness of reflective assessment on sustainable and productive KB discourse. This study developed a framework for analyzing KB competencies using KB discourse moves. It also examined whether a KB design augmented by reflective assessment enriched by analytic tools and artifacts could foster undergraduates’ KB competencies, and if so, how. This KB design involves principle-based pedagogy with the participants engaging in collaborative inquiry and discussion on Knowledge Forum, and reflective assessment using (a) super synthesis notes, (b) KB interaction rubrics, and (c) learning analytics visualization tools. Qualitative tracking and lag sequential pattern analysis of Knowledge Forum’s discourse revealed that implementing reflective assessment supported by analytics and artifacts could help the undergraduate students develop KB competencies manifested in discourse with evidence of conceptual advance, epistemic engagement, metacognition, and productive socio-emotional interactions with a collective focus. The thematic analysis illustrated the dynamics through which the design enriched by standards and visualizations helped the undergraduates develop KB competencies: leveraging synthesis super notes to promote conceptual and metacognitive advancement and epistemic engagement; employing KB interaction rubrics to cultivate metacognitive, socio-emotional, and epistemic competencies; and harnessing KBDeX visualizations to promote metacognitive and conceptual advancement and to facilitate epistemic engagement. The implications of scaffolding students’ epistemic agency, metacognition, productive collaborative inquiry, and developing KB competencies in a technology-supported metacognitive learning environment are discussed.