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

Designing electronic collaborative learning environments

Electronic collaborative learning environments for learning and working are in vogue. Designers design them according to their own constructivist interpretations of what collaborative learning is and what it should achieve. Educators employ them with different educational approaches and in diverse situations to achieve different ends. Students use them, sometimes very enthusiastically, but often in a perfunctory way. Finally, researchers study them and—as is usually the case when apples and oranges are compared—find no conclusive evidence as to whether or not they work, where they do or do not work, when they do or do not work and, most importantly, why, they do or do not work. This contribution presents an affordance framework for such collaborative learning environments; an interaction design procedure for designing, developing, and implementing them; and an educational affordance approach to the use of tasks in those environments. It also presents the results of three projects dealing with these three issues

An integrated approach for analysing and assessing the performance of virtual learning groups

Collaborative distance learning involves a variety of elements and factors that have to be considered and measured in order to analyse and assess group and individual performance more effectively and objectively. This paper presents an approach that integrates qualitative, social network analysis (SNA) and quantitative techniques for evaluating online collaborative learning interactions. Integration of various different data sources, tools and techniques provides a more complete and robust framework for group modelling and guarantees a more efficient evaluation of group effectiveness and individual competence. Our research relies on the analysis of a real, long-term, complex collaborative experience, which is initially evaluated in terms of principled criteria and a basic qualitative process. At the end of the experience, the coded student interactions are further analysed through the SNA technique to assess participatory aspects, identify the most effective groups and the most prominent actors. Finally, the approach is contrasted and completed through a statistical technique which sheds more light on the results obtained that far. The proposal draws a well-founded line toward the development of a principled framework for the monitoring and analysis of group interaction and group scaffolding which can be considered a major issue towards the actual application of the CSCL proposals to real classrooms.Peer ReviewedPostprint (author's final draft

Enhancing Free-text Interactions in a Communication Skills Learning Environment

Learning environments frequently use gamification to enhance user interactions.Virtual characters with whom players engage in simulated conversations often employ prescripted dialogues; however, free user inputs enable deeper immersion and higher-order cognition. In our learning environment, experts developed a scripted scenario as a sequence of potential actions, and we explore possibilities for enhancing interactions by enabling users to type free inputs that are matched to the pre-scripted statements using Natural Language Processing techniques. In this paper, we introduce a clustering mechanism that provides recommendations for fine-tuning the pre-scripted answers in order to better match user inputs

Bridging research and practice: Implementing and sustaining knowledge building in Hong Kong classrooms

Despite major theoretical progress in computer-supported collaborative learning (CSCL), relatively less attention has been paid to the problem of how research advances may impact schools and classrooms. Given the global changes and educational policies for twenty-first century education, issues of how research in CSCL can be integrated with classroom practice for innovation pose important challenges. This paper draws on experiences in Hong Kong and examines research-based CSCL classroom innovations in the context of scaling up and sustaining a knowledge-building model in Hong Kong classrooms. It begins with an examination of the rationale for CSCL research in classrooms and then considers a range of problems and constraints for school implementation. Classroom innovations involve complex and emergent changes occurring at different levels of the educational system. The experience of CSCL knowledge-building classroom innovations in Hong Kong schools is reported, including: the macro-context of educational policies and educational reform, the meso-context of a knowledge-building teacher network, and the micro-context of knowledge-building design in classrooms. Three interacting themes-context and systemic change, capacity and community building, and innovation as inquiry-are proposed for examining collaboration and knowledge creation for classroom innovation. © 2011 The Author(s).published_or_final_versionSpringer Open Choice, 21 Feb 201

Mobile technologies: prospects for their use in learning in informal science settings

Recent developments in mobile technologies have offered the potential to support learners studying a variety of subjects. In this paper we explore the possibilities related to science learners and in particular focus on science learners in informal settings and reflect on a number of recent projects in order to consider the prospects for such work. The debate on informal learning acknowledges the complexity of the area and the difficulty of defining informal learning. One view is to consider the settings in which learning takes place as a continuum from formal settings, e.g. university, to social structures, e.g. friendship groups (Sefton-Green, 2004). The literature on science learning with mobile devices at this very 'informal' end of the spectrum is currently sparse and so in the paper we reflect on some projects and possibilities across the continuum. Our main focus is how mobile devices can support informal learning in science and research possibilities. Some of the recent research on mobile learning has used an activity theoretical perspective, including one of the case studies we discuss and in the final part of the paper we highlight the influence of activity theory in helping us to consider the complexity of the learning settings