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Supporting Graduate Attribute Development in Introductory Accounting with Student-Generated Screencasts

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  • Jessica K. Frawley

    (University of Technology Sydney, Sydney, Australia)

  • Laurel Evelyn Dyson

    (University of Technology Sydney, Sydney, Australia)

  • James Wakefield

    (University of Technology Sydney, Sydney, Australia)

  • Jonathan Tyler

    (University of Technology Sydney, Sydney, Australia)

Abstract

In recent years educational, industry and government bodies have placed increasing emphasis on the need to better support the development of “soft” skills or graduate attributes within higher education. This paper details the adoption of a student-generated multimedia screencast assignment that was found to address this need. Implemented within a large introductory accounting subject, this optional assignment allowed undergraduate students to design, develop and record a screencast so as to explain a key accounting concept to their peers. This paper reports on the trial, evaluation and redesign of this assignment. Drawing on data from student surveys, practitioner reflections and descriptive analysis of the screencasts themselves, this paper demonstrates the ways that the assignment contributed to the development and expression of a number of graduate attributes. These included the students' skills in multimedia, creativity, teamwork and self-directed learning. Adopting free-to-use software and providing a fun and different way of learning accounting, this novel approach constitutes a sustainable and readily replicable way of supporting graduate attribute development. This paper contributes understandings that will be relevant to both researchers and practitioners.

Suggested Citation

  • Jessica K. Frawley & Laurel Evelyn Dyson & James Wakefield & Jonathan Tyler, 2016. "Supporting Graduate Attribute Development in Introductory Accounting with Student-Generated Screencasts," International Journal of Mobile and Blended Learning (IJMBL), IGI Global, vol. 8(3), pages 65-82, July.
  • Handle: RePEc:igg:jmbl00:v:8:y:2016:i:3:p:65-82
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