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  • 标题:Cluster Analysis of Assessment in Anatomy and Physiology for Health Science Undergraduates
  • 作者:Stephen Brown ; Sue White ; Nikki Power
  • 期刊名称:International Journal of Teaching and Learning in Higher Education
  • 电子版ISSN:1812-9129
  • 出版年度:2016
  • 卷号:28
  • 期号:1
  • 页码:102-109
  • 出版社:International Society for Exploring Teaching and Learning
  • 摘要:Academic content common to health science programs is often taught to a mixed group of students; however, content assessment may be consistent for each discipline. This study used a retrospective cluster analysis on such a group, first to identify high and low achieving students, and second, to determine the distribution of students within clusters based on their chosen program of study. Using a two-step cluster analysis based on five summative assessment scores for 773 undergraduate students, three distinct groups of students were identified: these are described as High Achievers, Standard Achievers, and Low Achievers. High Achievers scored higher in all five assessments compared with Standard Achievers and Low Achievers (all P < 0.01). Also, Standard Achievers scored higher than Low Achievers in all assessments. Membership of the High Achievers cluster comprised 15% Midwives, 20% Nurses, 10% Occupational Therapists, 11% Paramedics, 24% Physiotherapists, and 21% Standard Pathway students. This novel approach provides an opportunity for quantitative reflection on assessment in a large group of students with diverse career aspirations. It may be used to distinguish levels of achievement relative to peers within a group and potentially identify students within a program of study in need of academic assistance
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