A cross-cultural study of self-regulated learning in a computer-supported collaborative learning environment

Self-regulated learning (SRL) actions of 30 Canadian and 30 Chinese university students were studied in a face-to-face problem-based learning environment. Participants were randomly assigned to work in dyads consisting of Chinese, Canadian, or mixed Chinese–Canadian pairs to learn Analysis of Variance collaboratively using a computer coach. Dialog segments were coded in terms of types of SRL actions, and whether an action was individually (IND) or socially (SOC) oriented. Canadian pairs produced significantly higher proportions of IND-SRL actions relative to SOC-SRL actions (higher odds ratios) than Chinese pairs, but the odds ratios for mixed pairs were similar to those for Canadian pairs. This effect of cultural composition of dyads for the Canadian and Chinese pairs was replicated in a comparison of Canadian and Chinese participants within the mixed pairs dyads. These results have implications for a socio-cultural account of SRL.     

Knowledge organization through multiple representations in a computer-supported collaborative learning environment

Computer-supported collaborative learning (CSCL) environments provide learners with multiple representational tools for storing, sharing, and constructing knowledge. However, little is known about how learners organize knowledge through multiple representations about complex socioscientific issues. Therefore, the purpose of this study was to investigate learners’ knowledge organization (KO) through multiple representations in a CSCL environment. We designed a learning unit on nuclear energy and implemented it with a group of 20 college students. The participants used a web-based hypertext KO platform that incorporated three representational modes: textual, pictorial, and concept map. The platform interlinked learners’ knowledge entries based on similar keywords. Utilizing mixed methods research we analyzed the individual entries and the knowledge base to determine KO both at the individual and the collective levels. We found that the density of the knowledge base was high; the learners mostly benefited from their text- and concept map-based entries, though the picture-based entries were also an important means for connecting entries with similar content and hence creating a dense knowledge base. Our results suggest that KO with multiple representations can create a more comprehensive knowledge base. Using distinct analytical approaches will allow CSCL researchers to better identify KO both at the individual and collective levels.     

Applying collaborative cognitive load theory to computer-supported collaborative learning: towards a research agenda

Educational technology research and development - Research on computer-supported collaborative learning (CSCL) has traditionally investigated how student-, group-, task-, and technological...     

Co-regulation of learning in computer-supported collaborative learning environments: a discussion

This discussion paper for this special issue examines co-regulation of learning in computer-supported collaborative learning (CSCL) environments extending research on self-regulated learning in computerbased environments. The discussion employs a socio-cognitive perspective focusing on social and collective views of learning to examine how students co-regulate and collaborate in computer-supported inquiry. Following the review of the articles, theoretical, methodological and instructional implications are discussed: Future research directions include examining the theoretical nature of collective regulation and social metacognition in building models of co-regulated learning; expanding methodological approaches using trace data and multiple measures for convergence and construct validity; and conducting instructional experiments to test and to foster the development of co-regulated learning in computer-supported collaborative inquiry.     

The effects of active versus reflective learning style on the processes of critical discourse in computer-supported collaborative argumentation

This study examined how message-response exchanges produced in the interactions between active learners only, reflective learners only, active-reflective learners and reflective-active learners affected how often active versus reflective learners posted rebuttals to arguments and challenges across four types of exchanges that believed to promote critical discourse (argument–challenge, challenge–counterchallenge, challenge–explain, challenge–evidence) in computer-supported collaborative argumentation (CSCA). This study found that the exchanges between reflective learners produced 44% more responses than in the exchanges between active learners ( ES  = +0.17). The reflective–reflective exchanges produced 47% more responses than the active–reflective exchanges ( ES  = +0.18). These results suggest that groups with reflective learners only are likely to produce more critical discourse than groups with active learners only, and the ratio of active–reflective learners within a group can potentially influence overall group performance. These findings illustrate how specific traits of the learner can affect discourse processes in CSCA and provide insights into process-oriented strategies and tools for structuring dialogue and promoting critical inquiry in online discussions.     

Relationships among individual task self-efficacy,self-regulated learning strategy use and academic performance in a computer-supported collaborative learning environment

This study investigates relationships between self-efficacy, self-regulated learning strategy use and academic performance. Participants were 96 undergraduate students working on projects with three subtasks (idea generation task, methodical task and data collection) in a blended learning environment. Task self-efficacy was measured with self-reports administered during each subtask. Learning strategies were assessed by counting each instance of strategy use as it occurred in peer-to-peer conversations typed into a computer software system. Results showed that for each subtask, learners with higher task self-efficacy had higher task performance. Those who used more learning strategies on each subtask also had higher performance. In turn, high performance was associated with high self-efficacy on subsequent subtasks. Surprisingly, results showed that task self-efficacy and learning strategy use were not significantly related during any subtask. Overall, results imply that task self-efficacy, learning strategy use and past performance are important predictors of task performance.     

Toward effective group formation in computer-supported collaborative learning

Group formation task as a starting point for computer-supported collaborative learning plays a key role in achieving pedagogical goals. Various approaches have been reported in the literature to address this problem, but none have offered an optimal solution. In this research, an online learning environment was modeled as a weighted undirected complete graph in which each learner was implied as a node and the relationship between them was denoted as a weighted arc. The weight of each link indicated the similarity degree between the corresponding individuals. The similarity between two students was measured as the mean of their absolute interest levels. The graph was also represented through a symmetric adjacency matrix. Then, a novel binary integer programming formulation was proposed to model the group formation problem and optimally assign each learner to the most appropriate group. The method was utilized to divide an online class of 32 learners into 8 groups of size 4. Findings indicated that the suggested model was successful in optimally solving the problem in 20.53 seconds, on average. The performance of the method was also compared with a modified version of K-means clustering algorithm. Although, the running time of the suggested technique was not as good as the clustering algorithm, it generated better outcomes in theory and in practice.     

Strategizing computer-supported collaborative learning toward knowledge building

The purpose of this paper is to explore how university students can develop knowledge in small task-based groups while acquiring hands-on computer skills. Inspired by the sociocultural perspective, this study presents a theoretical framework on co-construction of knowledge and on computer-supported collaborative learning. The participants were selected from student teachers in Rwanda after a training program on searching, retrieving and exploiting web-based literature. The findings show that university students working together in small groups to acquire hands-on computer skills can adopt one of three major learning patterns: individual-led, group-led or individual-group hybrid-led. Moreover, the results indicate that the group-led framework seems to create a supportive environment for knowledge building. Nevertheless, university students showed a need for teacher support to enable them to focus on criterion-referenced reflection to regulate their learning.     

Examining the effect of problem type in a synchronous computer-supported collaborative learning (CSCL) environment

This study investigated the effect of well- vs. ill-structured problem types on: (a) group interactional activity, (b) evolution of group participation inequities, (c) group discussion quality, and (d) group performance in a synchronous, computer-supported collaborative learning (CSCL) environment. Participants were 60 11th-grade science students working in three-member groups (triads) who were randomly assigned to solve a well- or an ill-structured problem scenario on Newtonian Kinematics. Although groups solving ill-structured problems generated more problem-centered interactional activity (a positive effect), they also exhibited participation patterns that were more inequitable (a negative effect) than groups solving well-structured problems. Interestingly, inequities in member participation patterns exhibited a high sensitivity to initial exchange and tended to get “locked-in” early in the discussion, ultimately lowering the quality of discussion and, in turn, the group performance. Findings and their implications for theory, methodology, and scaffolding of CSCL groups are discussed.

Effects of representational guidance during computer-supported collaborative learning

This research investigates the role of representational guidance by comparing the effects of two different representational tools. We used a design with two different groups defined by the type of argumentative diagram students co-constructed while working in a computer-supported collaborative learning (CSCL) environment. The Graphical Debate-tool offered different representational guidance than the Textual Debate-tool. The results show that groups that worked with the Graphical Debate-tool constructed representations of higher quality and wrote essays that were better in terms of grounds quality. Furthermore, working with the Graphical Debate-tool was found to have a positive effect on students’ learning as measured by a knowledge post-test. In contrast to our expectations however, there was little difference between the two conditions regarding the online collaboration process. It can be concluded that representational guidance has an impact on group and individual performance and should therefore be taken into account during instructional design.     

Motivation in a computer-supported collaborative learning scenario and its impact on learning activities and knowledge acquisition

Addressing a drawback in current research on computer-supported collaborative learning (CSCL), this study investigated the influence of motivation on learning activities and knowledge acquisition during CSCL. Participants’ (N = 200 university students) task was to develop a handout for which they had first an individual preparing phase followed by a computer-supported collaborative learning phase immediately afterwards. It was hypothesized that in both phases current motivation (in terms of expectancy and value components) influences both learning activities and knowledge acquisition in a positive way. According to main results, only goal orientations (before learning) were associated with knowledge acquisition respectively observed learning activities during the collaborative phase. Expectancy and value components of current motivation related neither to observed learning activities nor to knowledge acquisition during collaborative learning but were in part associated with learning activities and knowledge acquisition during individual learning. The discussion addresses several possible explanations for these unexpected results.     

How day of posting affects level of critical discourse in asynchronous discussions and computer-supported collaborative argumentation

In asynchronous threaded discussions, messages posted near the end of the week provide less time for students to critically examine and respond to ideas presented in the messages than messages posted early in the week. This study examined how the day in which messages are posted (early, midweek and weekend) in computer-supported collaborative argumentation affect the number of responses elicited by arguments and challenges, and how its effects differ across the four types of exchanges (argument–challenge, challenge–counterchallenge, challenge–explain, challenge–evidence) that serve as indicators of critical discourse. This study found that the day of posting had a significant effect on the number of responses elicited per message, with the greatest to smallest effect on argument–challenge, challenge–counterchallenge, challenge–explain and challenge–evidence exchanges respectively. These findings highlight some of the limitations of asynchronous discussions, and suggest alternative ways to implement and design discussion environments to promote higher levels of critical discourse.     

The effects of room design on computer-supported collaborative learning in a multi-touch classroom

While research indicates that technology can be useful for supporting learning and collaboration, there is still relatively little uptake or widespread implementation of these technologies in classrooms. In this paper, we explore one aspect of the development of a multi-touch classroom, looking at two different designs of the classroom environment to explore how classroom layout may influence group interaction and learning. Three classes of students working in groups of four were taught in the traditional forward-facing room condition, while three classes worked in a centered room condition. Our results indicate that while the outcomes on tasks were similar across conditions, groups engaged in more talk (but not more off-task talk) in a centered room layout, than in a traditional forward-facing room. These results suggest that the use of technology in the classroom may be influenced by the location of the technology, both in terms of the learning outcomes and the interaction behaviors of students. The findings highlight the importance of considering the learning environment when designing technology to support learning, and ensuring that integration of technology into formal learning environments is done with attention to how the technology may disrupt, or contribute to, the classroom interaction practices.     

Using representational tools to support historical reasoning in computer-supported collaborative learning

Abstract

In this article the authors focus on how features of a computersupported collaborative learning (CSCL) environment can elicit and support domain-specific reasoning and more specifically historical reasoning. The CSCL environment enables students to collaborate on a historical inquiry task and in writing an argumentative essay. In order to support historical reasoning the authors compared two representational tools: a graphical representation (argumentative diagram) and a linear representation (argument list). As it is assumed that an argumentative diagram can support both cognitive and interaction processes, it was expected that using this tool would result in more qualitative historical reasoning, in the chat as well as in the essay. However, the results of this study did not show a significant difference in the amount of historical reasoning between the two conditions. A possible explanation can be found in the way the students make use of the representational tool while executing the task. The tool does not only function as a cognitive tool that can elicit elaborate activities, but also as a tool through which students communicate.