Strategies for collaborative writing and phases of knowledge construction in CSCL environments

Within the framework of research that describes the processes of collaborative knowledge construction in computer-supported collaborative learning (CSCL) environments, the present work has three objectives: (i) the identification of the strategies of six small groups of university students for the elaboration of written products in a CSCL environment; (ii) seek relations between the identified writing strategies and the processes and phases of collaborative knowledge construction in the groups; and (iii) relate these strategies and phases with the learning results obtained by the groups. We carried out a multiple-case study, with the analysis of four different didactic sequences, in two different virtual learning and teaching settings. In each setting, three student groups were studied, where each had to collaboratively develop between four and eight written products. For all the studied groups, the analysis enabled the identification of five types of strategies in the preparation of the elaboration of written products, and four types of phases of collaborative knowledge construction, which are interrelated and also connected with the grades that the groups obtained in each case.     

The learning kit project: Software tools for supporting and researching regulation of collaborative learning

Computer-supported collaborative learning (CSCL) is a dynamic and varied area of research. Ideally, tools for CSCL support and encourage solo and group learning processes and products. However, most CSCL research does not focus on supporting and sustaining the co-construction of knowledge. We identify four reasons for this situation and identify three critical resources every collaborator brings to collaborations that are underutilized in CSCL research: (a) prior knowledge, (b) information not yet transformed into knowledge that is judged relevant to the task(s) addressed in collaboration, and (c) cognitive processes used to construct these informational resources. Finally, we introduce gStudy, a software tool designed to advance research in the learning sciences. gStudy helps learners manage cognitive load so they can re-assign cognitive resources to self-, co-, and shared regulation; and it automatically and unobtrusively traces each user′s engagement with content and the means chosen for cognitively processing content, thus generating real-time performance data about processes of collaborative learning.     

Differences in learning processes between successful and less successful students in computer-supported collaborative learning in the field of human nutrition and health

This study aimed to investigate the differences in learning processes between successful and less successful pairs of students in computer-supported collaborative learning (CSCL) in the field of human nutrition and health. As part of their regular MSc (and optional BSc) course “Exposure assessment in nutrition and health research” at Wageningen University, 44 students were asked (as an individual pretest) to design and analyze a study which evaluates a certain dietary assessment method. Subsequently, they were asked to discuss their evaluation studies in randomized pairs using a CSCL platform. As an individual posttest, students had to re-design and re-analyze the same evaluation study. The quality of students’ knowledge construction in both tests and characteristics of their learning processes in the CSCL environment were assessed through two coding schemes. Based on their learning outcomes (quality of knowledge construction), pairs of students were divided into two subgroups: successful and less successful students. Next, the learning processes of these subgroups were compared. This study revealed that the learning processes of successful and less successful students in the CSCL environment differed in terms of relevance, width and depth of discussion and justification and reasoning. Based on these findings, recommendations for further research and educational practice are formulated.     

Gender-related differences in computer-mediated communication and computer-supported collaborative learning

Abstract   A question associated with the introduction of computer-supported collaborative learning (CSCL) is whether all participants profit equally from working in CSCL environments. This article reports on a review study into gender-related differences in participation in CSCL. As many of the processes in CSCL are similar to those in computer-mediated communication (CMC), studies into CMC are also included in the review. Male dominance is found to play a role in many CMC settings. A learning culture with an explicit focus on participation by all students seems to be related to a more gender-balanced participation in CMC, however. A tendency for boys to be more active participants than girls is also present in CSCL environments, but it is less pronounced than in CMC. This may be explained by the fact that participation is explicitly promoted in most CSCL environments. Gender differences in the character of students' contributions are found in both CMC and CSCL. It is concluded that in order to avoid gender-stereotyped participation and communication patterns, it is necessary to explicitly address inclusiveness as an aspect of a collaborative classroom culture. A plea is made for further research into differential participation by students in CSCL, and the effects thereof on cognitive and affective learning outcomes. Research should also focus on the question how classroom cultures can be promoted that support active participation of all students aimed at collaborative knowledge construction.     

Politeness strategies in collaborative e-mail exchanges

Computer-supported collaborative learning (CSCL) has been the subject of a wide range of studies over the last twenty years. Previous research suggests that CSCL exchanges can facilitate group-based learning and knowledge construction among learners who are in different geographical locations (Littleton, K. & Whitelock, D. (2004). Guiding the creation of knowledge and understanding in a virtual learning environment. Cyberpsychology & Behaviour, 7(2), 173). A less known fact, however, is that successful CSCL exchanges depend on the social interaction that takes place among participants. This social interaction is crucial, since it affects both cognitive and socio-emotional processes that take place during learning (Kreijns, K., Kirschner, P., Jochems, W. & Van Buuren, H. (2004). Determining sociability, social space, and social presence in (a) synchronous collaborative groups. Cyberpsychology & Behaviour, 7 (2), 156). Nevertheless, its presence in these exchanges should not be taken for granted, since there are certain barriers which may impede interaction; for example, students may not know each other previously (high social distance) and requests and offers which appear recurrently in collaborative learning messages can threaten the participants’ negative face ( Brown and Levinson 1978, 1987). In order to explore how participants overcome these barriers, we have analysed the linguistic features of politeness strategies used in the introductory e-mails exchanged between eleven students and their partners, who are students of English and Spanish, respectively. Our findings show that partners in collaborative e-mail exchanges do not use negative politeness strategies as often as we might expect in encounters where the social distance between participants is high, but they rely heavily on positive politeness strategies, especially those relating to ‘claiming common ground’, ‘assuming or asserting reciprocity’ and ‘conveying cooperation’. The presence of these strategies would indicate that fostering closeness, solidarity and cohesion becomes the priority to be achieved between the partners, instead of the expected negative politeness mechanisms whose aim is to demonstrate high social distance and, therefore, formality and impersonality.     

The influence of students and teachers characteristics on the efficacy of face-to-face and computer supported collaborative learning

In this paper we compared the efficacy of face-to-face and computer supported collaborative learning (CSCL) in increasing academic knowledge and professional competences. We also explored how students’ personality characteristics and learning strategies and teachers’ characteristics were associated with better learning outcomes in online or face-to-face contexts. One hundred and seventy students participated in 10 community psychology seminars, five online and five face-to-face. Academic and professional learning increased for participants in both settings. Tutors’ characteristics did not influence students’ learning. Students who performed better in online and in face-to-face contexts differed in some psychological variables and in their learning strategies. Overall results show that asynchronous collaborative learning online can increase professional competences normally learnt only in small face-to-face educational settings, and that CSCL can be used to provide innovative educational opportunities that fit particular needs of students with low anxiety, high problem solving efficacy, who have time management problems in their learning strategies.     

Knowledge building in asynchronous discussion groups: Going beyond quantitative analysis

This contribution examines the methodological challenges involved in defining the collaborative knowledge-building processes occurring in asynchronous discussion and proposes an approach that could advance understanding of these processes. The written protocols that are available to the analyst provide an exact record of the instructional transactions at a given time in the online discussion. On the basis of a study of online discussion forums used in a higher education context, a model for the analysis of collaborative knowledge building in asynchronous discussion is presented. The model allows examination of the communication from the multiple perspectives of interaction, cognition and discourse analysis. The investigation was conducted using a qualitative case study approach and involved an in-depth examination of three cases. Content analysis of the discourse was done at a number of levels, focusing on the discussion forum itself, the discussion threads, the messages, and the exchanges and moves among the messages. As a result of correspondences found among the variables representing the different levels of the analysis, the most important being the relationship between type of interaction, phase of critical inquiry, and move in the exchange structure, it was possible to build a scheme for assessing knowledge building in asynchronous discussion groups. The scheme integrates the interactive, cognitive and discourse dimensions in computer-supported collaborative learning (CSCL). The study represents a merging of quantitative analysis within qualitative methodology and provides both an analytic and a holistic perspective on CSCL.     

Measurement and assessment in computer-supported collaborative learning

The overall goal of CSCL research is to design software tools and collaborative environments that facilitate social knowledge construction via a valuable assortment of methodologies, theoretical and operational definitions, and multiple structures [Hadwin, A. F., Gress, C. L. Z., & Page, J. (2006). Toward standards for reporting research: a review of the literature on computer-supported collaborative learning. In Paper presented at the 6th IEEE International Conference on Advanced Learning Technologies, Kerkrade, Netherlands; Lehtinen, E. (2003). Computer-supported collaborative learning: an approach to powerful learning environments. In E. De Corte, L. Verschaffel, N. Entwistle & J. Van Merriëboer (Eds.), Unravelling basic components and dimensions of powerful learning environments (pp. 35–53). Amsterdam, Netherlands: Elsevier]. Various CSCL tools attempt to support constructs associated with effective collaboration, such as awareness tools to support positive social interaction [Carroll, J. M., Neale, D. C., Isenhour, P. L., Rosson, M. B., & McCrickard, D. S. (2003). Notification and awareness: Synchronizing task-oriented collaborative activity. International Journal of Human–Computer Studies 58, 605] and negotiation tools to support group social skills and discussions [Beers, P. J., Boshuizen, H. P. A. E., Kirschner, P. A., & Gijselaers, W. H. (2005). Computer support for knowledge construction in collaborative learning environments. Computers in Human Behavior 21, 623–643], yet few studies developed or used pre-existing measures to evaluate these tools in relation to the above constructs. This paper describes a review of the measures used in CSCL to answer three fundamental questions: (a) What measures are utilized in CSCL research? (b) Do measures examine the effectiveness of attempts to facilitate, support, and sustain CSCL? And (c) When are the measures administered? Our review has six key findings: there is a plethora of self-report yet a paucity of baseline information above collaboration and collaborative activities, findings in the field are dominated by ‘after collaboration’ measurement, there is little replication and an over reliance on text-based measures, and an insufficient collection of tools and measures for examining processes involved in CSCL.     

计算机支持的协作学习的伙伴模型

伙伴模型的建立是计算机支持的协作学习（CSCL）中寻找学习伙伴的关键。伙伴模型对学生分组的关键因素进行了较全面的建模。对伙伴模型进行了形式化的描述,并重点对动态协作信息的表示，如伙伴学习进度、知识水平、认知能力和协作能力进行了研究。     

Online group work patterns: How to promote a successful collaboration

Participation is a complex process, engaging the whole person, implying cognitive, emotional and relational aspects. In online open and distant learning, group work is a commonly used strategy, given its collaborative nature and constructivist framework (2, 4 and 7). In this context, collaborative learning processes are highly dependent on the shared written information and the interactions that are established among the participants. The types of interactions that occur within such groups can influence their knowledge convergence processes, and are often decisive for its success.     

Cultural ways of constructing knowledge: the role of identities in online group discussions

Learning scientists and the CSCL community have argued that knowledge construction is a process of collective thinking; a process that is simultaneously personal and social that requires group cognition. However, while CSCL researchers have investigated situated knowledge in the process of collective thinking, little work has been done to fully understand how different identification categories play a role in sense-making and knowledge construction. This research, therefore, explores in detail how individuals operationalize identification categories when they engage in group discussions in online learning environments. Results demonstrate that individuals do not experience online learning through only one aspect of their identity. Rather, learning experiences evoke different elements of their identities that are used continuously and simultaneously when they collaborate with each other in the phases of knowledge construction.     

What do students do in a F2F CSCL classroom? The optimization of multiple communications modes

This exploratory study analyzes how students use different communication modes to share information, negotiate meaning and construct knowledge in the process of doing a group learning activity in a Primary Grade 5 blended learning environment in Singapore. Small groups of students interacted face-to-face over a computer-mediated communication (CMC) technology called Group Scribbles (GS) to jointly complete a learning task. The lesson designers attempted to optimize the use of CMC technology and face-to-face (F2F) discussion in students’ collaborative learning, with the aim of harnessing the specific features of each medium. Building on notions from communication studies and from interaction analysis, we observed the construction and evolution of the interactions through analyzing the artifacts that were produced by a group of students – in verbal talk, gestures, and sketches drawn and text inscribed in GS. F2F and GS interactions intertwined to support collaborative learning. The findings from this study could inform design aspects concerning integrating and reinforcing the strengths of both communication modes when introducing computer-assisted collaborative learning (CSCL) in a F2F classroom.     

Measuring perceived sociability of computer-supported collaborative learning environments

Most asynchronous computer-supported collaborative learning (CSCL) environments can be characterized as functional environments because they focus on functional, task-specific support, often disregarding explicit support for the social (emotional) aspects of learning in groups which are acknowledged by many educational researchers to be essential for effective collaborative learning. In contrast, sociable CSCL environments emphasize the social (emotional) aspects of group learning. We define sociability as the extent to which a CSCL environment is perceived to be able to facilitate the emergence of a sound social space with attributes as trust and belonging, a strong sense of community, and good working relationships. Specific environmental characteristics, which we have designated social affordances, determine sociability.     

Socially shared regulation of learning in CSCL: understanding and prompting individual- and group-level shared regulatory activities

The field of computer supported collaborative learning (CSCL) is progressing instrumentally and theoretically. Nevertheless, few studies examine the effectiveness and efficiency of CSCL with respect to cognitive, motivational, emotional, and social issues, despite the fact that the role of regulatory processes is critical for the quality of students’ engagement in collaborative learning settings. We review the four earlier lines in developing support in CSCL and show how there has been a lack of work to support individuals in groups to engage in, sustain, and productively regulate their own and the group’s collaborative processes. Our aim is to discuss how our conceptual work in socially shared regulation of learning (SSRL) contributes to effective and efficient CSCL, what tools are presently available, and what the implications of research on these tools are for future tool development.     

An exploration of students' strategy use in inquiry-based computer-supported collaborative learning

Abstract The aim of this study is to investigate students' use of cognitive learning strategies in inquiry-based computer-supported collaborative learning (CSCL). A process-oriented interview framework on cognitive activity, self-regulation and motivation, and a coding category for analysing cognitive learning strategies and cognitive self-regulation was developed. The students of an intervention group (n=18) participating in inquiry-based CSCL and a comparison group (n=8) were interviewed six to eight times during the 3 years of the study. The results derived from the mixed-method analysis of altogether 161 interviews were compared between the two groups. The results indicate that the students who participated in the inquiry-based CSCL activities reported deeper-level cognitive strategies such as monitoring, creating representations and sharing information collaboratively. The students of the comparison group reported more surface-level strategies such as memorization. However, the findings concerning the utility of CSCL inquiry on cognitive learning strategies were not uniformly positive. It was found that the students of the comparison group reported significantly more strategies under the category of content evaluation. Nevertheless, the results suggest that computer-supported inquiry-based learning can enhance the use of cognitive strategies that support learning.     

What does it mean? Students’ procedural and conceptual problem solving in a CSCL environment designed within the field of science education

This article discusses the relationship between procedural and conceptual problem solving in a computer-supported collaborative learning (CSCL) environment designed within the field of science education. The contribution of this article, and our understanding of this phenomenon, is anchored in our socio-cultural interpretation, and that implies distinctive inputs for the design and re-design of these kinds of learning environments. We discuss institutional aspects linked to the school as a curriculum deliverer, as well as to the presentation of the knowledge domain and the construction of the CSCL environment. The data is gathered from a design experiment in a science setting in a secondary school, and video data is used to perform an interaction analysis. More specifically, we follow a group of four secondary school students who solve a biological problem in a computer-based 3D model supported by a website. Our findings are clear in the sense that the procedural types of problem solving tend to dominate the students’ interactions, while conceptual knowledge construction is only present where it is strictly necessary to carry out the problem solving. Based on our analyses, we conclude that this can be explained partly by how the knowledge domain is presented and how the CSCL environment is designed, but that the main reason is linked to the institutional aspects related to the school as curriculum deliverer where its target is to secure that the students actually solve problems that are predefined in the syllabus list. We argue that this affords some particular challenges, linked to making conceptual knowledge constructions in science education explicit in the CSCL environment, and to encouraging the teachers and the school as a curriculum deliverer to give this kind of knowledge construction a prioritised value.     

Effects of representational guidance on domain specific reasoning in CSCL

Computer-supported collaborative learning (CSCL) aims at enhancing and supporting peer interaction and the joint construction of products through technology. This study investigated the effects of the joint construction of external representations on the collaborative process and the learning outcomes. By providing representational guidance, the study aimed at promoting co-elaborated and domain-specific reasoning. Since it is assumed that the representational format may be of influence on the collaborative process and outcomes, three representational formats, namely an argumentative diagram, an argument list and a matrix, were compared with a control group. Sixty-five student pairs from pre-university education collaborated on a historical writing task in a CSCL environment. The analyses included analyses of interaction processes in the chat, the quality of the co-constructed representation, the quality of the essay and the scores on the individual posttest. The results indicated that each representational format has its own affordances and constraints. For example, Matrix users talked more about historical changes, whereas Diagram users were more focused on the balance in their argumentation. However, this did not result in differences in the quality of historical reasoning in the essay, nor in outcomes on the posttest.