The ‘Actual’ Online Presence of ‘Good’ Research: Reporting the Case Selection Process

By Jingjing Zhang.

Published by The Technology Collection

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Article: Print $US10.00
Article: Electronic $US5.00

This paper discusses how the web is used to publish research projects by examining web data in a case selection process. The difficulty in identifying a case in a qualitative research studying technology use in research, to some extent, illustrates that there is little information available online about research studies that were conducted in a world-class university. Although the web as well as its associated network technologies has been widely used for all kinds of social activities, the use of web to publish research studies are to some extent limited. As technology is not yet a driving force of our research in academia, the web has perhaps not been used for creating the online presence of research work as fully as appears to be frequently assumed in the literature. The traditional approach to studying the web has been in itself somewhat technology driven. It is the technology deterministic approach that leads to findings, such as technology has revolutionised the whole research world. Instead of following the hyperbole that has commonly described the growth of advanced technology itself in many existing research studies, this paper argues that social studies of the actual use of technology in research, taking a real-world approach, are now, more than ever, at a premium.

Keywords: Case Study, Technology, Academia

International Journal of Technology, Knowledge and Society, Volume 9, Issue 1, pp.1-9. Article: Print (Spiral Bound). Article: Electronic (PDF File; 460.845KB).

Dr. Jingjing Zhang

Assistant Professor, Research Centre of Distant Education, Faculty of Education, Beijing Normal University, Beijing, China

Jingjing Zhang is an Assitant Professor at the Faculty of Education of BNU, specialising in learning and technology. She received her BSc in Computer Science from BNU, and an MRes from University College London (UCL). As an undergraduate, she was awarded 2003 AIEJ Scholarship for a one-year exchange study at Tokyo Gakugei University. She received an MSc and a DPhil from the University of Oxford. At Oxford (MSc, DPhil), she was a Clarendon scholar and a member of Brasenose College (funded by ORS scholarship). Her early research in machine learning and information visualisation has led to an educational product to analyse university curriculum structure. In the past few years, her research has been involved in work with educationists, sociologists and anthropologists. This has led a change of her research interests initially in machine learning in laboratory settings to social constructivism of learning in real-world settings. As well as to her recent research on the social sciences of learning and technology, she is also interested in the change to varies forms of human relationships in the networked society, such as leadership, trust, and communication.

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