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British Journal of Educational Technology

May 23, 2014 Volume 45, Number 3

Editors

Carina Girvan; Sara Hennessy; Manolis Mavrikis; Sara Price; Niall Winters

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Table of Contents

Number of articles: 11

  1. Social scholarship: Reconsidering scholarly practices in the age of social media

    Christine Greenhow & Benjamin Gleason

    This conceptual exploration inquires, what is scholarship reconsidered in the age of social media? How ought we to conceptualize social scholarship—a new set of practices being discussed in various... More

    pp. 392-402

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  2. Methodological capacity within the field of “educational technology” research: an initial investigation

    Scott Bulfin, Michael Henderson, Nicola F. Johnson & Neil Selwyn

    The academic study of educational technology is often characterised by critics as methodologically limited. In order to test this assumption, the present paper reports on data collected from a... More

    pp. 403-414

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  3. Assessing the crossdisciplinarity of technology-enhanced learning with science overlay maps and diversity measures

    Marco Kalz & Marcus Specht

    This paper deals with the assessment of the crossdisciplinarity of technology-enhanced learning (TEL). Based on a general discussion of the concept interdisciplinarity and a summary of the... More

    pp. 415-427

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  4. Our anonymous online research participants are not always anonymous: Is this a problem?

    Phillip Dawson

    When educational research is conducted online, we sometimes promise our participants that they will be anonymous—but do we deliver on this promise? We have been warned since 1996 to be careful when... More

    pp. 428-437

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  5. Ethical and privacy principles for learning analytics

    Abelardo Pardo & George Siemens

    The massive adoption of technology in learning processes comes with an equally large capacity to track learners. Learning analytics aims at using the collected information to understand and improve... More

    pp. 438-450

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  6. Researchers and teachers learning together and from each other using video-based multimodal analysis

    Jacob Davidsen & Ruben Vanderlinde

    This paper discusses a year-long technology integration project during which teachers and researchers joined forces to explore children's collaborative activities through the use of touch screens. ... More

    pp. 451-460

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  7. Discovering indicators of successful collaboration using tense: Automated extraction of patterns in discourse

    Kate Thompson, Shannon Kennedy‐Clark, Penny Wheeler & Nick Kelly

    This paper describes a technique for locating indicators of success within the data collected from complex learning environments, proposing an application of e-research to access learner processes ... More

    pp. 461-470

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  8. The role of facial microexpression state (FMES) change in the process of conceptual conflict

    Mei‐Hung Chiu, Chin‐Cheng Chou, Wen‐Lung Wu & Hongming Liaw

    This paper explores whether facial microexpression state (FMES) changes can be used to identify moments of conceptual conflict, one of the pathways to conceptual change. It is known that when the... More

    pp. 471-486

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  9. Population validity for educational data mining models: A case study in affect detection

    Jaclyn Ocumpaugh, Ryan Baker, Sujith Gowda, Neil Heffernan & Cristina Heffernan

    Information and communication technology (ICT)-enhanced research methods such as educational data mining (EDM) have allowed researchers to effectively model a broad range of constructs pertaining... More

    pp. 487-501

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  10. The research and evaluation of serious games: Toward a comprehensive methodology

    Igor Mayer, Geertje Bekebrede, Casper Harteveld, Harald Warmelink, Qiqi Zhou, Theo Ruijven van, Julia Lo, Rens Kortmann & Ivo Wenzler

    The authors present the methodological background to and underlying research design of an ongoing research project on the scientific evaluation of serious games and/or computer-based simulation... More

    pp. 502-527

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  11. e-Research and learning theory: What do sequence and process mining methods contribute?

    Peter Reimann, Lina Markauskaite & Maria Bannert

    This paper discusses the fundamental question of how data-intensive e-research methods could contribute to the development of learning theories. Using methodological developments in research on... More

    pp. 528-540

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