Mobile support in CSCW applications and groupware development frameworks

Computer Supported Cooperative Work (CSCW) is an established subset of the field of Human Computer Interaction that deals with the how people use computing technology to enhance group interaction and collaboration. Mobile CSCW has emerged as a result of the progression from personal desktop computing to the mobile device platforms that are ubiquitous today. CSCW aims to not only connect people and facilitate communication through using computers; it aims to provide conceptual models coupled with technology to manage, mediate, and assist collaborative processes. Mobile CSCW research looks to fulfil these aims through the adoption of mobile technology and consideration for the mobile user. Facilitating collaboration using mobile devices brings new challenges. Some of these challenges are inherent to the nature of the device hardware, while others focus on the understanding of how to engineer software to maximize effectiveness for the end-users. This paper reviews seminal and state-of-the-art cooperative software applications and development frameworks, and their support for mobile devices

Using the technology enhanced interaction framework for interaction scenarios involving disabled people

This paper focuses on the development of a general interaction framework to help design technology to support communication between people and improve interactions between people, technology and objects, particularly in complex situations when disabled people are involved. The main and sub-components of the framework are described. A tool was developed to provide advice on design and development factors for technological support. Work is now in progress to validate the framework and the tool with expert designers and accessibility experts before evaluating it with technology designers

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

The evolution of a cooperative work framework for e-Learning

This paper details the evolution of a Framework for e-Learning, to a Cooperative Work Framework for e-Learning, as presented at the IASK conference (Graham 2008a) and annotated accordingly. It begins by discussing the development of the original Framework for e-Learning, and how this study resulted in a further study investigating whether the use of Blended Learning could fulfill or at least accommodate some of the human requirements presently neglected by current e-Learning systems as identified by the original Framework. This second study evaluated an in-house system: Teachmat, and discussed how the use of Blended Learning had become increasingly prevalent as a result of the enhancement and expansion of Teachmat. It looked at the employment of Blended Learning and Teachmat’s relationship to human and pedagogical issues, as well as both the positive and negative implications of this reality. PESTE factors from Sociology were then applied to appraise the adoption of e-Learning, leading to the proposal of PESTE factors for educational software and e-Learning in particular. Finally, the study evolved to reconsider e-Learning in relation to a Cooperative Work Framework, revealing critical weakness in the fundamental nature of e-Learning and its consequent propensity for failure

Cooperative Learning in Videoconferencing: The Influence of Content Schemes and Cooperation Scripts on Shared External Representations and Individual Learning Outcomes

Video-conferencing is expected to become increasingly important for tele-learning environments. This study investigates how to foster cooperative learning in videoconferencing. The learning environment was a peer-teaching scenario, which demanded the learners to teach each other theories. In this study the effects of different types of support for cooperation were investigated. The main research question is how (1) content schemes and (2) cooperation scripts enhance the construction of collaborative external representations and foster learning outcomes. Re-sults indicate that content schemes as well as cooperation scripts foster the construction of shared external representations. Furthermore, the cooperation script enhances learning outcomVideokonferenzen werden in Telelernumgebungen zunehmend wichtiger. Im Rahmen dieser Studie wird untersucht, wie man kooperatives Lernen in Videokonferenzen unterstützen kann. Als Lernumgebung wurde ein Peer-Teaching Szenario gewählt, bei dem es die Aufgabe der Lernenden war, sich gegenseitig eine Theorie zu vermitteln. Dabei werden die Auswirkungen einer Unterstützung durch die Faktoren (1) Wissensschemata und (2) Kooperationsskripts auf die Erstellung einer gemeinsamen externalen Repräsentation und auf den Lernerfolg untersucht. Die Ergebnisse zeigen, dass sowohl Wissensschemata als auch Kooperationsskripts positive Effekte auf die Erstellung der gemeinsamen externalen Repräsentation haben. Lernende mit Kooperationsskript wiesen zusätzlich einen höheren Lernerfolg auf als Lernende ohne Kooperationsskr

Supporting teachers in collaborative student modeling: a framework and an implementation

Collaborative student modeling in adaptive learning environments allows the learners to inspect and modify their own student models. It is often considered as a collaboration between students and the system to promote learners’ reflection and to collaboratively assess the course. When adaptive learning environments are used in the classroom, teachers act as a guide through the learning process. Thus, they need to monitor students’ interactions in order to understand and evaluate their activities. Although, the knowledge gained through this monitorization can be extremely useful to student modeling, collaboration between teachers and the system to achieve this goal has not been considered in the literature. In this paper we present a framework to support teachers in this task. In order to prove the usefulness of this framework we have implemented and evaluated it in an adaptive web-based educational system called PDinamet.Postprint (author's final draft