Collaborative trails in e-learning environments

This deliverable focuses on collaboration within groups of learners, and hence collaborative trails. We begin by reviewing the theoretical background to collaborative learning and looking at the kinds of support that computers can give to groups of learners working collaboratively, and then look more deeply at some of the issues in designing environments to support collaborative learning trails and at tools and techniques, including collaborative filtering, that can be used for analysing collaborative trails. We then review the state-of-the-art in supporting collaborative learning in three different areas – experimental academic systems, systems using mobile technology (which are also generally academic), and commercially available systems. The final part of the deliverable presents three scenarios that show where technology that supports groups working collaboratively and producing collaborative trails may be heading in the near future

Efficient embedding of information and knowledge into CSCL applications

This study aims to explore two crucial aspects of collaborative work and learning: the importance of enabling CSCL applications, on the one hand, to capture and structure the information generated by group activity and, on the other hand, to extract the relevant knowledge in order to provide learners and tutors with efficient awareness and support as regards collaboration. To this end, we first identify and define the main types of information generated in on-line group activity and then propose a process for efficiently embedding this information and the knowledge extracted from it into CSCL applications for awareness and feedback purposes. The conceptual model proposed finally gave rise to the design and implementation of a CSCL generic platform, called the Collaborative Learning Purpose Library (CLPL), which serves as a basis for the systematic development of collaborative learning applications and for providing full support to the mentioned process of knowledge management.Peer ReviewedPostprint (author's final draft

Supporting undergraduate students’ acquisition of academic argumentation strategies through computer conferencing

Executive Summary Background This research grows out of work on the importance of argumentation in developingstudents’ critical abilities. It focuses attention on how students argue in computer mediated conferences as opposed to traditionalwritten assignments, investigating the way in which argumentation is realised within the relatively new context of computer conferencing which allows extended written discussions to take place overa period of weeks. Such text-based asynchronous conferencing is typically characterised by features of both spoken and written modes. Aims The main aims of the project were: • to investigate the argumentation strategies used in asynchronous text-based computer conferences; • to compare the argumentation strategies developed through conferencing with those used in the writing of academic assignments; • to examine the strategies used by tutors to encourage and facilitate argumentation in text-based computer conferences. Methods Data was collected over two years for the distance undergraduate course ‘Perspectives on Complementary and Alternative Medicine’ at the Open University.Qualitative data was obtained through interviews with the course chair, tutors and students, and through a student questionnaire. Assignments and computer-mediated tutorials were collected for textual analysis, although the timing of the assignments meant that analysis has only just begun on the essay data. To analyse the argumentation in the computer conferences and assignments a method of categorising, coding and tracking argumentative discourse was developed building on earlier work by the authors. In addition, computational searches were carried out to compare linguistic features across conference and assignment data. Results In tutorial conferences, student discussion tended to take the form of collaborative co-construction of an argument through exchanging information and experience to substantiate a position. However, students were also prepared to challenge other viewpoints. In both cases, they frequently drew on personal and professional experience to support argument claims. The use of these strategies suggests that text-based conferencing lends itself to the collective combining of diverse sources of information, experiences and ideas. Conference discussions were often personalised with fewer explicit logical links marking argument structure. They were also marked by complexity of argument strands, many of which reached no conclusion. Preliminary analysis of argumentation in assignments suggests that this did not, however, adversely affect students’ ability to create a more traditional, linear argument in their essays. Further analysis will be undertaken to compare argumentation strategies across the two sets of data. Tutors expressed concern about levels of participation in the tutorial conferences, which varied quite considerably. They also felt uncertain about their own knowledge of appropriate pedagogic strategies which would encourage students to participate in a collaborative yet critical way, and tended to rely on strategies from face-to-face teaching. Analysis of the conference discussion showed that tutors made fewer claims than students and were also less likely to provide information in support of their claims. There was, therefore, little modelling by tutors of the basic type of argumentation that would be expected in formal written assignments.Despite these concerns, student responses indicated that having a tutor and a group of peers to interact with, or just to observe, was valued as a supportive feature of this form of distance learning. No clear picture arose of how to make conferencing more interactive for more students, and this reinforces the sense gained from the tutor interviews of the difficulty of proposing a model of tutoring in computer conferences that will necessarily engage all students or raise the level of discussion and debate. Conclusions Our study suggests that text-based conferencing has an important role to play in developing students’ argumentation strategies and understanding of academic discourse and conventions. In view of its hybrid nature, somewhere between spontaneous speech and formal academic writing, course designers and tutors should aim to take advantage of both aspects – on the one hand, the informal dialogic exchange of opinions and co-construction of knowledge, and on the other,the opportunity for consolidation, reflection and re-positioning. Our findings reinforce the view that students’ willingness to exchange ideas freely and openly is partly a consequence of how personally engaged, at ease and confident students feel with one another and their tutor. In particular, it seems that there is a role for the interpersonal and, to some extent, the chat and the frivolity, which in some other studies discussed in the literature review have been regarded as negative influences. Recommendations To facilitate students’ development of argumentation and learning more generally,tutors need greater awareness of the ways in which academic argumentation operates in computer conferencing as compared to written assignments. Since pedagogic strategies developed in other contexts may not transfer well to computer conferencing, there is a need for targeted professional development, focussing in particular on: • Choosing topics for discussion and designing effective task prompts; • Supporting weaker students; • Encouraging challenging of ideas; • Finding the right tone to facilitate peer discussions. Some specific suggestions are made within the report, but our recommendations at this stage remain tentative as we still have to complete the analysis of the assignment data and draw conclusions about the impact of the computer conferencing on the quality of written argumentation within this more formal context

Interaction Analysis Supporting Participants' Selfregulation in a Generic CSCL System

International audienceInteraction analysis can provide information directly to learners and teachers in order to assess and self-regulate their ongoing activity. Omega+ is a generic CSCL system that uses explicit models as parameters for flexibly supporting different kinds of collaborative applications. This paper describes Omega+ model-based generic approach for supporting participants' selfregulation through interaction analysis. Some quantitative and qualitative results obtained with the proposed approach are discussed

Modelling and visualising traces for reflexivity in synchronous collaborative systems

Lauréat du Best Paper AwardInternational audienceThis article addresses issues related to traces modelling and visualisation in synchronous collaborative learning. The objective is to propose models and tools for representing, transforming, sharing and visualizing traces of users' experiences. The traces here represent the users' activities in their interactions with the learning platform. Our proposition is based on reflexive learning defined as the ability to interact with the situation, in order to meet one's own limitations. This work takes place in the ITHACA project which aims at developing an online learning platform that uses interaction traces as knowledge sources on, and for, the learners' learning as individuals or groups. In this paper, we propose a general framework for trace management and sharing, a generic model of synchronous collaborative activity based on the notion of interaction modes, which we specialized for whiteboard sharing and text chatting. We modelled an IRC client and developed a first implementation

From mirroring to guiding: A review of the state of art technology for supporting collaborative learning

We review systems that support the management of collaborative interaction, and propose a classification framework built on a simple model of coaching. Our framework distinguishes between mirroring systems, which display basic actions to collaborators, metacognitive tools, which represent the state of interaction via a set of key indicators, and coaching systems, which offer advice based on an interpretation of those indicators. The reviewed systems are further characterized by the type of interaction data they assimilate, the processes they use for deriving higher-level data representations, and the type of feedback they provide to users

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Supporting effective monitoring and knowledge building in online collaborative learning systems

This paper aims to report on an experience of using an innovative groupware tool to support real, collaborative learning. We base the success of on-line collaborative learning on extracting relevant knowledge from interaction data analysis in order to provide learners and instructors with efficient awareness, feedback, and monitoring as regards individual and group performance and collaboration. Monitoring is especially important for online instructors since they can use this valuable provision of information as a meta cognitive tool for regulating the collaborative learning process more conveniently and provide adequate support when needed. In addition, learning and knowledge building may be greatly enhanced by presenting selected knowledge to learners as for their particular skills exhibited during interaction, such as the impact and effectiveness of their contributions. Indeed, by letting learners be aware of both their own and others’ progress in the process of knowledge building may promote learners’ participation and boost group performance. The ultimate goal of this paper is to provide a model to achieve a more effective support and assessment of the collaborative process while enhancing and improving the learning experience. To validate this study, a real online learning environment is employed to support asynchronous collaborative activities.Peer ReviewedPostprint (author's final draft