Modeling Sources of Teaching Self-Efficacy for Science, Technology, Engineering, and Mathematics Graduate Teaching Assistants Public Deposited

http://ir.library.oregonstate.edu/concern/articles/c821gm60v

This is the publisher’s final pdf. The published article can be found at:  http://www.lifescied.org/content/14/3/ar32

© 2015 S. E. DeChenne et al. CBE—Life Sciences Education © 2015 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s).

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  • Graduate teaching assistants (GTAs) in science, technology, engineering, and mathematics (STEM) have a large impact on undergraduate instruction but are often poorly prepared to teach. Teaching self-efficacy, an instructor’s belief in his or her ability to teach specific student populations a specific subject, is an important predictor of teaching skill and student achievement. A model of sources of teaching self-efficacy is developed from the GTA literature. This model indicates that teaching experience, departmental teaching climate (including peer and supervisor relationships), and GTA professional development (PD) can act as sources of teaching self-efficacy. The model is pilot tested with 128 GTAs from nine different STEM departments at a midsized research university. Structural equation modeling reveals that K–12 teaching experience, hours and perceived quality of GTA PD, and perception of the departmental facilitating environment are significant factors that explain 32% of the variance in the teaching self-efficacy of STEM GTAs. This model highlights the important contributions of the departmental environment and GTA PD in the development of teaching self-efficacy for STEM GTAs.
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  • DeChenne, S. E., Koziol, N., Needham, M., & Enochs, L. (2015). Modeling Sources of Teaching Self-Efficacy for Science, Technology, Engineering, and Mathematics Graduate Teaching Assistants. CBE-Life Sciences Education, 14(3), UNSP ar32. doi:10.1187/cbe.14-09-0153
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  • description.provenance : Made available in DSpace on 2015-10-06T16:40:45Z (GMT). No. of bitstreams: 3 license_rdf: 1536 bytes, checksum: df76b173e7954a20718100d078b240a8 (MD5) NeedhamMarkForestEcosystSocModelingSourcesTeaching.pdf: 681607 bytes, checksum: 05fedb9d4d9ce124308d73782f5c7a03 (MD5) NeedhamMarkForestEcosystSocModelingSourcesTeachingSupplementalMaterial.pdf: 407582 bytes, checksum: bfd7997a5340110a892fcdf602aa6bf6 (MD5) Previous issue date: 2015-09-02
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