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  • 标题:Thematic analysis of individual feedback: Improving cohort feedforward
  • 本地全文:下载
  • 作者:Richard Edward Meredith
  • 期刊名称:Compass: Journal of Learning and Teaching
  • 印刷版ISSN:2044-0073
  • 电子版ISSN:2044-0081
  • 出版年度:2020
  • 卷号:13
  • 期号:1
  • 页码:1-8
  • DOI:10.21100/compass.v13i1.1055
  • 出版社:University of Greenwich, Educational Development Unit
  • 摘要:Is there a practical way to identify academic at-risk students before the start of term? Or is there no alternative but to look for in-class cues and formative assessment patterns or even wait to mark summative submissions after the term is over? This conference reflection essay offers a potential contribution to answering those questions. It suggests Turnitin assessment text data be make visible rather than remaining unseen, unnoticed, and therefore unactionable (Bienkowski et al., 2012). A poster presentation at the University of Greenwich Learning and Teaching festival 2019 became a transformative learning experience that led to Turnitin assessment data being conceived as a new data source for learning analytics, modelled using Activity Theory.
  • 其他摘要:Is there a practical way to identify academic at-risk students before the start of term? Or is there no alternative but to look for in-class cues and formative assessment patterns or even wait to mark summative submissions after the term is over? This conference reflection essay offers a potential contribution to answering those questions. It suggests Turnitin assessment text data be make visible rather than remaining unseen, unnoticed, and therefore unactionable (Bienkowski et al., 2012). A poster presentation at the University of Greenwich Learning and Teaching festival 2019 became a transformative learning experience that led to Turnitin assessment data being conceived as a new data source for learning analytics, modelled using Activity Theory.
  • 关键词:Assessment and marking; thematic analysis; assessment literacy; feedforward; business education
  • 其他关键词:Learning Theories;Learner Analytics
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