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Autor/inWoitkowski, David
TitelTracing Physics Content Knowledge Gains Using Content Complexity Levels
QuelleIn: International Journal of Science Education, 42 (2020) 10, S.1585-1608 (24 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Woitkowski, David)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0950-0693
DOI10.1080/09500693.2020.1772520
SchlagwörterPhysics; Science Instruction; Science Achievement; Achievement Gains; Learning Processes; Introductory Courses; Science Tests; Mechanics (Physics); Foreign Countries; Longitudinal Studies; Higher Education; Undergraduate Students; Knowledge Level; Germany
AbstractThe introductory phase of studying physics poses a wide range of challenging problems to new students. One of them is learning physics on a new, more abstract and highly mathematised level, at high speed, in a lowly regulated learning environment. While several German universities have taken action to mitigate these problems, much knowledge about the problem's core is unavailable, such as information about typical knowledge baselines, probable learning speeds and factors predicting higher or lower individual performance. This study introduces a widely useable test instrument in the context of classical mechanics for a longitudinal study in the first year of study. The analyses presented are based on the psychological, rather than contend-dominated, theory of hierarchical complexity of tasks, which describes the process of learning in an abstract albeit easily testable way. Students are assigned levels that provide information about their general ability to cope with the highly complex presentation of university physics. This framework is then used to obtain a typical starting ability as well as typical patterns of students' development through the level system. As the initial abilities turn out as low as expected, we are able to state the typical learning speed as about one level per year. Further analysis of those students significantly above or below that threshold can be helpful. While high performers can be characterised by high initial mathematical knowledge, low performers are typically less socially integrated with their peers. (As Provided).
AnmerkungenRoutledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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