335 research outputs found

    Interdisciplinarity in Technology Enhanced Learning: An Interview Study

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    This paper explores the influence of the concept of interdisciplinarity on the work of educational technologists and others involved in technology-enhanced learning (TEL) research. There is a growing recognition of the need for interdisciplinarity in solving complex research problems in many areas of science. Technology-enhanced learning is a relatively young area of research adopting a multidisciplinary approach to investigating the use of technologies for learning. This makes it a field that is worthy of exploration in terms of how the ways of working developed by its practitioners inform our understanding of the challenges of the field as well as its benefits. This paper reporting on work commissioned by the Joint Research Councils’ programme on Technology Enhanced Learning provides a discussion of the growing literature on this topic, and a study of the working practices of academics in TEL research. An interview study of 18 participants was conducted as part of the project. The paper reports on the key findings from the interviews and concludes with some practical suggestions to help participants deal with the challenges posed by interdisciplinary working in TEL research

    Distance learning, OER, and MOOCs: some UK experiences

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    This paper discusses learning at scale from the perspective of two UK Universities engaging in technology enhanced learning. Three case studies are used to illustrate ways in which scale has been achieved. There is diversity in how scale is supported but also common factors. Openness and choice appear as enablers in all cases

    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

    Active learning of statistics: A case study

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    Research at the Open University has investigated students’ learning of statistical concepts and how information technology can be effectively used to support this process. Previous empirical work has looked at psychology students’ misconceptions relating to correlation and how computer‐based learning environments can be used to address these. This paper reports on the findings from a qualitative study that investigated students’ learning collaboratively from a multimedia application called ActivStats

    Design Guidelines for Sensor-based Mobile Learning Applications

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    We present five design guidelines that we have developed from issues identified during our usability evaluations in a sensor-based citizen inquiry project. These have been compiled from existing literature, and after receiving feedback on use of the mobile application from participants through forum comments and survey responses, statistical analysis of the sensor measurements, and the researchers' observation and reflection. These guidelines aim to assist Technology-enhanced Learning (TEL) researchers and teachers who develop, modify or use mobile apps for their projects and lessons
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