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Brown, S. J.; White, S.; Power, N. – Advances in Physiology Education, 2017
Using an educational data mining approach, first-year academic achievement of undergraduate nursing students, which included two compulsory courses in introductory human anatomy and physiology, was compared with achievement in a final semester course that transitioned students into the workplace. We hypothesized that students could be grouped…
Descriptors: Introductory Courses, Anatomy, Nursing Education, Physiology
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Cooper, Katelyn M.; Krieg, Anna; Brownell, Sara E. – Advances in Physiology Education, 2018
Academic self-concept is one's perception of his or her ability in an academic domain and is formed by comparing oneself to other students. As college biology classrooms transition from lecturing to active learning, students interact more with each other and are likely comparing themselves more to other students in the class. Student…
Descriptors: Student Characteristics, Academic Achievement, Self Concept, Physiology
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Green, Rod; Brown, Elizabeth; Ward, Alex – Anatomical Sciences Education, 2009
In 2009 the Faculty of Health Sciences at La Trobe University in Melbourne, Australia is introducing a common first year for 11 different undergraduate courses in the faculty. Current prerequisite science entry requirements vary with course and range from none to at least two science or mathematics subjects and from [approximately]50 to 99 in…
Descriptors: Physiology, Biomechanics, Anatomy, Foreign Countries
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Dobson, John L. – Advances in Physiology Education, 2009
Learning styles may be classified according to the sensory modality that one most prefers to use when internalizing information. The four major sensory modalities are visual, aural or auditory, read/write, and kinesthetic. The purpose of this study was to investigate the relationship between preferred learning style, gender, and course scores in…
Descriptors: Cognitive Style, Females, Visual Learning, Physiology
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis