Computer Science – Learning
Scientific paper
Jan 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009aas...21335304r&link_type=abstract
American Astronomical Society, AAS Meeting #213, #353.04; Bulletin of the American Astronomical Society, Vol. 41, p.494
Computer Science
Learning
Scientific paper
We present results of a pilot study on college students’ misconceptions in astronomy. The study was conducted on the campus of a Midwestern university among 43 non-science major students enrolled in an introductory astronomy laboratory course. The laboratory course was based on a constructivist learning environment where students learned astronomy by doing astronomy. During the course, students worked with educational simulations created by Project CLEA team and RedShift College Education Astronomy Workbook by Bill Walker as well as were involved in think-pair-share discussions based on Lecture-Tutorials (Prather et al 2008). Several laboratories were prompted by an instructor's brief presentations. On the first and last days of the course students were surveyed on what their beliefs were about causes of the seasons, the moon's apparent size in the sky and its phases, planetary orbits, structure of the solar system, the sun, distant stars, and the nature of light. The majority of the surveys’ questions were based on Neil Comins’ 50 most commonly cited misconceptions. The outcome of the study showed that while students constructed correct understanding of a number of phenomena, they also created a set of new misconceptions. For example, if on the first day of the course, nine out of 43 students knew what caused the seasons on Earth; on the last day of the course, 20 students gained the similar understanding. However, by the end of the course more students believed that smaller planets must rotate faster based on the conservation of angular momentum and Kepler's laws. Our findings suggest that misconceptions pointed out by Neil Comins over a decade ago are still relevant today; and that learning based exclusively on simulations and collaborative group discussions does not necessarily produce the best results, but may set a ground for creating new misconceptions.
Ruzhitskaya Lanika
Speck Angela
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