76 research outputs found

    Enriching accounts of computer‐supported collaboration by using video data

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    This paper will discuss the approach to the evaluation of computer‐supported collaborative learning developed in our group over the past ten years. This approach depends on the collection of video data to allow the analysis of key features of problem‐solving behaviour within groups of students working on collaborative learning tasks. Our theoretical framework derives from two sources‐ the CIAOl framework for evaluating examples of CAL and an analysis of appropriate methods of evaluating computer‐supported collaboration. Our work in this area has been supported by developing the data capture facilities for the CALRG (Computers and Learning Research Group) at the Open University. We will draw on a number of studies to illustrate this approach and will present a brief case study from work done on a computer‐supported learning environment for statistics where we use video records of video‐mediated collaboration. This case study gives an example of the rich data that can be collected using video recording and analysed to increase understanding of computer‐supported collaboration

    Evaluating complex digital resources

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    Squires (1999) discussed the gap between HCI (Human Computer Interaction) and the educational computing communities in their very different approaches to evaluating educational software. This paper revisits that issue in the context of evaluating digital resources, focusing on two approaches to evaluation: an HCI and an educational perspective. Squires and Preece's HCI evaluation model is a predictive model ‐ it helps teachers decide whether or not to use educational software ‐ whilst our own concern is in evaluating the use of learning technologies. It is suggested that in part the different approaches of the two communities relate to the different focus that each takes: in HCI the focus is typically on development and hence usability, whilst in education the concern is with the learner and teacher use

    Evidence-based Learning: Foundations

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    This chapter discusses some of the Computer Aided Learning (CAL) Research Group’s early work, focusing on our attempts to understand learners’ practices so that teaching could be adapted to meet learners’ needs. The chapter describes and discusses examples of CALRG research from the group’s early days to the start of the 2000s. One reason for doing this is to explore the extent to which there has been continuity in the group’s work over time. In the chapter we argue that the group’s motivation, aims, ethos and overall approach have remained similar during its forty-year existence. The chapter draws on the Beyond Prototypes framework, described in Chapter 1 of this book, to frame some of the discussion, in particular focusing on policy and environment. Analysis of the case studies that led to the development of the framework suggest that Technology Enhanced Learning (TEL) needs to be understood as a ‘complex’, made up of a series of elements that need to be considered together. The chapter also uses the three themes of the group’s first conference to provide an organising framework for the discussion. The three themes from that first conference are firstly, models of learning; secondly, methods for studying learning and thirdly, institutional research
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