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Autor/inn/enReid, Joshua W.; Quinn, Candice M.; Jia, Zhigang; Jones, Ryan Seth; Grinath, Anna
TitelSmall Instructional Changes to Emphasize Data Modeling Practices
QuelleIn: Journal of College Science Teaching, 50 (2021) 4, S.5-10 (6 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0047-231X
SchlagwörterEducational Change; Data Analysis; Models; Introductory Courses; Biology; Undergraduate Students; Science Instruction; Teaching Methods
AbstractData modeling practices are often invisible to students in introductory biology courses. However, developing a well-rounded understanding of these practices is critical for scientific literacy. Furthermore, introductory undergraduate science laboratory courses are often taught by graduate students or novice instructors with little autonomy, pedagogical preparation, and support to implement changes. In this manuscript, we describe three small instructional changes that can be used to create space for student reasoning about and interaction with data modeling practices. Additionally, we describe how these small changes fostered student thinking and discussions about variation in data, sources of variability, the importance of shared procedures, and predictions of sampling variability. We argue that instructors do not have to redesign curriculum to emphasize data modeling practices. Instead, this manuscript presents small instructional changes that can be implemented within a variety of undergraduate science classrooms and laboratories. (As Provided).
AnmerkungenNational Science Teaching Association. 1840 Wilson Boulevard, Arlington, VA 22201-3000. Tel: 800-722-6782; Fax: 703-243-3924; e-mail: membership@nsta.org; Web site: https://www.nsta.org/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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