Abstract: The benefits of collaborative learning, although widely reported, lack the quantitative rigor and detailed insight into the dynamics of interactions within the group, while individual contributions and their impacts on group members and their collaborative work remain hidden behind joint group assessment. To bridge this gap we intend to address three important aspects of collaborative learning focused on quantitative evaluation and prediction of group performance. First, we use machine learning techniques to predict group performance based on the data of member interactions and thereby identify whether, and to what extent, the group’s performance is driven by specific patterns of learning and interaction. Specifically, we explore the application of Extreme Learning Machine and Classification and Regression Trees to assess the predictability of group academic performance from live interaction data. Second, we propose a comparative model to unscramble individual student performances within the group. These performances are then used further in a generative mixture model of group grading as an explicit combination of isolated individual student grade expectations and compared against the actual group performances to define what we coined as collaboration synergy - directly measuring the improvements of collaborative learning. Finally the impact of group composition of gender and skills on learning performance and collaboration synergy is evaluated. The analysis indicates a high level of predictability of group performance based solely on the style and mechanics of collaboration and quantitatively supports the claim that heterogeneous groups with the diversity of skills and genders benefit more from collaborative learning than homogeneous groups.

Abstract: This study investigated whether and how students with low prior achievement can carry out and benefit from reflective assessment supported by the Knowledge Connections Analyzer (KCA) to collaboratively improve their knowledge-building discourse. Participants were a class of 20 Grade 11 students with low achievement taking visual art from an experienced teacher. We used multiple methods to analyze the students’ online discourse at several levels of granularity. Results indicated that students with low achievement were able to take responsibility for advancing collective knowledge, as they generated theories and questions, built on each others’ ideas, and synthesized and rose above their community’s ideas. Analysis of qualitative data such as the KCA prompt sheets, student interviews and classroom observations indicated that students were capable of carrying out reflective assessment using the KCA in a knowledge building environment, and that the use of reflective assessment may have helped students to focus on goals of knowledge building. Implications for how students with low achievement collaboratively improve their knowledge-building discourse facilitated by reflective assessment are discussed.

Abstract: The learning sciences of today recognize the tri-dimensional nature of learning as involving cognitive, social and emotional phenomena. However, many computer-supported argumentation systems still fail in addressing the socio-emotional aspects of group reasoning, perhaps due to a lack of an integrated theoretical vision of how these three dimensions interrelate to each other. This paper presents a multi-dimensional and multi-level model of the role of emotions in argumentation, inspired from a multidisciplinary literature review and extensive previous empirical work on an international corpus of face-to-face student debates. At the crossroads of argumentation studies and research on collaborative learning, employing a linguistic perspective, we specify the social and cognitive functions of emotions in argumentation. The cognitive function of emotions refers to the cognitive and discursive process of schematization (Grize, 1996, 1997). The social function of emotions refers to recognition-oriented behaviors that correspond to engagement into specific types of group talk (e. g. Mercer in Learning and Instruction 6(4), 359–377, 1996). An in depth presentation of two case studies then enables us to refine the relation between social and cognitive functions of emotions. A first case gives arguments for associating low-intensity emotional framing, on the cognitive side, with cumulative talk, on the social side. A second case shows a correlation between high-intensity emotional framing, and disputational talk. We then propose a hypothetical generalization from these two cases, adding an element to the initial model. In conclusion, we discuss how better understanding the relations between cognition and social and emotional phenomena can inform pedagogical design for CSCL.

Abstract: Conversational agents that draw on the framework of academically productive talk (APT) have been lately shown to be effective in helping learners sustain productive forms of peer dialogue in diverse learning settings. Yet, literature suggests that more research is required on how learners respond to and benefit from such flexible agents in order to fine-tune the design of automated APT intervention modes and, thus, enhance agent pedagogical efficacy. Building on this line of research, this work explores the impact of a configurable APT agent that prompts peers to build on prior knowledge and logically connect their contributions to important domain concepts discussed in class. A total of 96 computer science students engaged in a dialogue-based activity in the context of a Human-Computer Interaction (HCI) university course. During the activity, students worked online in dyads to accomplish a learning task. The study compares three conditions: students who collaborated without any agent interference (control), students who received undirected agent interventions that addressed both peers in the dyad (U treatment), and students who received directed agent interventions addressing a particular learner instead of the dyad (D treatment). The results suggest that although both agent intervention methods can improve students’ learning outcomes and dyad in-task performance, the directed one is more effective than the undirected one in enhancing individual domain knowledge acquisition and explicit reasoning. Furthermore, findings show that the positive effect of the agent on dyad performance is mediated by the frequency of students’ contributions displaying explicit reasoning, while most students perceive agent involvement favorably.

Abstract: Role taking is an established approach for promoting social cognition. Playing a specific role within a group could lead students to exercise collective cognitive responsibility for collaborative knowledge building. Two studies explored the relationship of role taking to participation in a blended university course. Students participated in the same knowledge-building activity over three consecutive, five-week modules and enacted four roles designed in alignment with knowledge building pedagogy (Scardamalia and Bereiter 2010). In Study 1, 59 students were distributed into groups with two conditions: students who took a role in Module 2 and students who did not take a role, using Module 1 and 3 as pre and post tests. Results showed no differences in participation in Module 1, higher levels of writing and reading for role takers in Module 2, and this pattern was sustained in Module 3. Students with the Synthesizer role were the most active in terms of writing and the second most active for reading; students with the Social Tutor role were the most active for reading. In Study 2, 143 students were divided into groups with two conditions: students who took a role in Module 1 and students who did not take a role. Content analysis revealed that role takers tended to vary their contributions more than non-role takers by proposing more problems, synthesizing the discourse, reflecting on the process and organization of activity. They also assumed appropriate responsibilities for their role: the Skeptic prioritizes questioning of content, the Synthesizer emphasizes synthesizing of content, and the Social Tutor privileges maintaining of relationships. Implications of designing role taking to foster knowledge building in university blended courses are discussed.

Abstract: Orchestrating collaborative learning in the classroom involves tasks such as forming learning groups with heterogeneous knowledge and making learners aware of the knowledge differences. However, gathering information on which the formation of appropriate groups and the creation of graphical knowledge representations can be based is very effortful for teachers. Tools supporting cognitive group awareness provide such representations to guide students during their collaboration, but mainly rely on specifically created input. Our work is guided by the questions of how the analysis and visualization of cognitive information can be supported by automatic mechanisms (especially using text mining), and what effects a corresponding tool can achieve in the classroom. We systematically compared different methods to be used in a Grouping and Representing Tool (GRT), and evaluated the tool in an experimental field study. Latent Dirichlet Allocation proved successful in transforming the topics of texts into values as a basis for representing cognitive information graphically. The Vector Space Model with Euclidian distance based clustering proved to be particularly well suited for detecting text differences as a basis for group formation. The subsequent evaluation of the GRT with 54 high school students further confirmed the GRT’s impact on learning support: students who used the tool added twice as many concepts in an essay after discussing as those in the unsupported group. These results show the potential of the GRT to support both teachers and students.

Abstract: The goal of this study was to develop a classification for a range of discourse patterns that occur in text-based asynchronous discussion forums, and that can aid in the distinction of three modes of discourse: knowledge sharing, knowledge construction, and knowledge building. The dataset was taken from Knowledge Forum® databases in the Knowledge Building Teacher Network in Hong Kong, and included three discussion views created for different classes: Grade 5 Science, Grade 10 Visual Arts, and Grade 10 Liberal Studies. We used a combination of qualitative coding and narrative analysis as well as teachers’ understanding of online discourse to analyze student discussions. Nine discourse patterns were identified. These patterns revealed a variety of ways in which students go about their collaborative interactions online and demonstrated how and why students succeed or fail in sustaining collaborative interactions. This study extended the three modes of online discourse and developed different discourse patterns, which are efforts to provide instructional guidance. The implications of supporting productive discourse and the enactment of CSCL innovations in classrooms are discussed.

Abstract: This paper presents a contribution to the development of a theory of CSCL scripts, i.e., an understanding of what happens when learners engage in such scripts. It builds on the Script Theory of Guidance (SToG) recently proposed by (Fischer et al. in Educational Psychologist, 48(1), 56–66, 2013). We argue that, when engaged in a collaborative situation structured by a CSCL script, what learners consider is not “the script”, but their appropriation of the script. Appropriation is a complex cognitive process which plays a role in both the recognition/conceptualization of the task to be achieved and its enactment, and is not dependent on the script only: it may be influenced by different external aspects. Therefore SToG and, actually, any theoretical framework attempting to provide an explanation of what happens when learners engage in CSCL scripts, should take into account appropriation issues. We develop our argumentation by focusing on technology-related aspects of appropriation and the role of institutional, domain and motivational aspects.

Abstract: Collaborative learning has often been associated with the construction of a shared understanding of the situation at hand. The psycholinguistics mechanisms at work while establishing common grounds are the object of scientific controversy. We postulate that collaborative tasks require some level of mutual modelling, i.e. that each partner needs some model of what the other partners know/want/intend at a given time. We use the term “some model” to stress the fact that this model is not necessarily detailed or complete, but that we acquire some representations of the persons we interact with. The question we address is: Does the quality of the partner model depend upon the modeler’s ability to represent his or her partner? Upon the modelee’s ability to make his state clear to the modeler? Or rather, upon the quality of their interactions? We address this question by comparing the respective accuracies of the models built by different team members. We report on 5 experiments on collaborative problem solving or collaborative learning that vary in terms of tasks (how important it is to build an accurate model) and settings (how difficult it is to build an accurate model). In 4 studies, the accuracy of the model that A built about B was correlated with the accuracy of the model that B built about A, which seems to imply that the quality of interactions matters more than individual abilities when building mutual models. However, these findings do not rule out the fact that individual abilities also contribute to the quality of modelling process.

Abstract: 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.

Abstract: In this issue of ijCSCL, a number or core or classical problems are addressed. What I mean by classical problems or themes involve how collaborative efforts emerge and become constituted. To work together, we need to orient ourselves to the other participants in dyads, in small groups, and in larger communities, as well as to the resources at hand. The computational environment in which collaboration occurs should, in principle, support the goals of Sharing and building common ground. When we talk about sharing, we often have a number of assumptions about what this means. Do we mean just the sharing of experiences, or some degree of overlap of mental models or states? Do we mean the sharing of deep cultural patterns anchored in life worlds, or just having people with a common background in the same groups? The meanings of sharing, common ground, or intersubjectivity obviously differ according to the theoretical lenses and epistemological position one takes. However, it is also an empirical phenomenon that we need to examine. Even if interpretations of data are partly dependent on the theoretical assumptions involved, sharing the results and how data are analyzed is important. The other main theme in this issue is how social interaction and collaboration involve multiple aspects, such as emotional, cognitive, and social dimensions, and how these become worked upon in tasks and in problem solving. Emotions and identities obviously play an important role in collaborative learning. The question then becomes how these are conceptualized and investigated, and what role or function they play when students work face-to-face or interact through asynchronous chat environments. Emotions are gradually being seen as creating some of the conditions for a particular type of engagement or motivation. However, emotions are also a part of the social interaction and cognitive work that is at stake for the participants, which means that one needs to study how emotions contribute to and are coconstituted with the cognitive and social aspects. Identities or identification can be seen as a part of how individuals position themselves in a group or a community. When working with a particular task, students can choose to participate Intern. J. Comput.-Support. Collab. Learn DOI 10.1007/s11412-016-9236-4

Abstract: In a recent paper, Pierre Tchounikine has suggested to advance the Script Theory of Guidance (SToG) by addressing the question how learners appropriate collaboration scripts presented to them in learning environments. Tchounikine’s main criticism addresses SToG’s “internal script configuration principle.” This principle states that in any collaboration situation, the learners’ set of goals and perceived situational characteristics influence how they dynamically configure internal collaboration scripts. Tchounikine's critique is that SToG is not very clear about how exactly “the learner’s set of goals” and particularly “perceived situational characteristics” influence the way learners understand and act in a CSCL situation. In response, we argue that SToG, at its core, is deeply concerned with appropriation of external scripts by focusing on how external scripts influence the (re-)configutration of internal scripts. Here, we lay out different aspects of appropriation in line with the basic assumptions of SToG, namely perception, interpretation, and implementation. The process of appropriation may be followed by an internalization of the result of appropriation (or appropriated external guidance).

Abstract: In this issue of the journal, we have several new initiatives that we want to promote. The four articles consist of a new review study, a conceptual discussion with critical responses about the concept of scripts in Computer-Supported Collaborative Learning (CSCL), and two articles with new insight about designs for low achievers and learning with epistemic games. We will also share some of the ideas, reflections, and stances in our field from the invited symposium that we organized at the 12th International Conference of the Learning Sciences in Singapore in June. Finally, the journal will launch a new format for contributions called Squibs (see the description at the end of this editorial). The intention with this format is that we as a community can engage in writing shorter contributions that raise awareness of competing theoretical or methodological developments, shortcomings, or new and emerging topics or issues in our field that we should address. As you see in the list of authors for this editorial, the former president of ISLS and associate editor in this journal, Carolyn P. Rose, has become one of the executive editors. We warmly welcome her in this position. The expertise that she brings to the Intern. J. Comput.-Support. Collab. Learn (2016) 11:255–262 DOI 10.1007/s11412-016-9242-6

Abstract: The learning sciences of today recognize the tri-dimensional nature of learning as involving cognitive, social and emotional phenomena. However, many computer-supported argumentation systems still fail in addressing the socio-emotional aspects of group reasoning, perhaps due to a lack of an integrated theoretical vision of how these three dimensions interrelate to each other. This paper presents a multi-dimensional and multi-level model of the role of emotions in argumentation, inspired from a multidisciplinary literature review and extensive previous empirical work on an international corpus of face-to-face student debates. At the crossroads of argumentation studies and research on collaborative learning, employing a linguistic perspective, we specify the social and cognitive functions of emotions in argumentation. The cognitive function of emotions refers to the cognitive and discursive process of schematization (Grize, 1996, 1997). The social function of emotions refers to recognition-oriented behaviors that correspond to engagement into specific types of group talk (e. g. Mercer in Learning and Instruction 6(4), 359–377, 1996). An in depth presentation of two case studies then enables us to refine the relation between social and cognitive functions of emotions. A first case gives arguments for associating low-intensity emotional framing, on the cognitive side, with cumulative talk, on the social side. A second case shows a correlation between high-intensity emotional framing, and disputational talk. We then propose a hypothetical generalization from these two cases, adding an element to the initial model. In conclusion, we discuss how better understanding the relations between cognition and social and emotional phenomena can inform pedagogical design for CSCL.

Abstract: In this paper, we examine student dyads’ emergent collaborative note-taking practices in a shared text editor during face-to-face project meetings. We describe the individual actions that students perform and show that turn-taking rather than simultaneous access is the most common collaboration strategy. We identify implicit round-robin and complementary interruption as two policies regulating the turn-taking strategy. We also investigate floor-control mechanisms, showing that dyads with free access trade turns at a higher frequency, and that the tendency towards turn-taking in this blended learning situation may lessen the need for floor control mechanisms. Overall, we find that collaborative notetaking as a pedagogical practice provides rich opportunities for epistemic deepening and tight collaboration between students.

Abstract: This case study investigated the development of group cognition by tracing the change in mathematical discourse of a team of three middle-school students as they worked on a construction problem within a virtual collaborative dynamic geometry environment. Sfard’s commognitive framework was employed to examine how the student team’s word choice, use of visual mediators, and adoption of geometric construction routines changed character during an hour-long collaborative problem-solving session. The findings indicated that the team gradually moved from a visual discourse toward a more formal discourse—one that is primarily characterized by a routine of constructing geometric dependencies. This significant shift in mathematical discourse was accomplished in a CSCL setting where tools to support peer collaboration and pedagogy are developed through cycles of design-based research. The analysis of how this discourse development took place at the group level has implications for the theory and practice of computer-supported collaborative mathematical learning. Discussion of which features of the specific setting proved effective and which were problematic suggests revisions in the design of the setting.

Abstract: This paper reports on a study of teacher support in a setting where students engaged with computer-supported collaborative learning (CSCL) in science. The empirical basis is an intervention study where secondary school students and their teacher performed a lab experiment in genetics supported by a digital learning environment. The analytical focus is on student-teacher interactions taking place in help-seeking settings during group-based activities where students analysed and reported their findings from the lab experiment. A combination of quantitative methods in the form of frequency counts of students’ help requests and detailed micro-analyses of student-teacher interactions are used. The findings are that the majority of challenges faced by students concerned conceptually oriented issues and procedural challenges in the sense of how to practically solve the assignments provided to them in the digital learning environment. Most importantly, the analyses of student-teacher interactions provide insight into the considerable amount of support that is needed from the teacher to bridge the conceptual gap between the lab experiment and the students’ understanding of the underlying scientific principles and procedures. The findings are discussed according to possible implications for the design of digital support tools and instruction.

Abstract: Despite the alleged ability of digital game-based learning (DGBL) to foster positive affect and in turn improve learning, the link between affectivity and learning has not been sufficiently investigated in this field. Regarding learning from team-based games with competitive elements, even less is known about the relationship between competitiveness (as a dispositional trait) and induced positive affect. In this media comparison study with between-subject design, participants (N = 325; high school and college students) learned about the EU’s policy agenda by means of a debate-based method delivered through one of three educational media: a) through a social role-playing game with competitive elements played on computers, b) through a very similar game played without computers and c) through a non-game workshop. Unlike many previous DGBL studies, this study used participant randomization and strived to address the teacher effect and the length of exposure effect, while also using the same learning materials and a very similar educational method for all three treatments. Both games induced comparatively higher generalized positive affect and flow. Participants also learned more with the games. Positive affect, but not flow, mediated the influence of educational media on learning gains. Participants’ competitiveness was partly related to positive affect and experiencing flow but unrelated to learning gains. These outcomes held both when the game was played using computers, as well as without them. The study indicates that the ability of an educational intervention to instigate positive affect is an important feature that should be considered by educational designers.

Abstract: This discourse analytic study explored the interconnection between resistance and perspectival understanding when students negotiated and constructed understandings in computer-mediated discussions in a graduate level course on the psychology of learning. Findings showed that resistance expressions often accompanied perspectival understanding as students elaborated on ideas from authors of course readings or peers. Furthermore, perspectival understanding was achieved both on the individual level and the group level as students showed resistance to the authors of course readings, their peers, and educational issues. These findings suggested that resistance played a role as a constructive discourse tool in a collaborative learning environment in which students made meaning of scholarly texts. This study is of importance in understanding the integral role of resistance in perspectival understanding in computer-mediated classroom discussions that has been rarely explored in empirical educational research.

Abstract: In this article we analyze how the joint cognitive system of teacher and student actions mediated by cultural tools develops sense making of science concepts, and the use of concepts as tools for explaining phenomena and processes related to energy and energy transformation We take a sociocultural approach to the analysis of how material and digital learning resources become tools for thinking and reasoning We combined ethnographic descriptions with analysis of video records of classroom interactions in a high school and examined how a teacher and a group of students engaged in a computer-supported collaborative inquiry Our results show that students through inquiry are enabled to make sense of concepts and their experiences with resources and also to use science concepts as explanatory tools However, this is mediated by the teachers’ practices for supporting students, such as providing relevant clues for them to continue their inquiry, eliciting their initial understanding of concepts thereby making them available for further development, pressing for explanations, and reformulating their explanations The teacher is continuously alternating between withdrawing and making students inquire by themselves and supporting their inquiry In and through such social interactions, materials and digital tools become tools for thinking We argue that one of the practical implications of our study is that it is crucial that teachers explicitly draw students into their system of activity throughout the entire learning trajectory and that the teachers and students together make sense of science concepts for explaining energy transformation