Abstract
This research discusses the detailed experiences of recruitment and training of Noyce interns to become qualified STEM teachers. In this paper, both successful experiences and challenges in the first 4 years of a NSF Noyce project are discussed with the three-tier model. In addition, this model has proven to be effective by using two types of evidences. First, the survey data collected from over 25 STEM teacher candidates is described. Secondly, the actual interview data and student feedback are reported.
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References
J. Rothwell, Short on STEM Talent, US NEWS, Sept 2014
The STEM Crisis, https://www.nms.org
R. Weiss, Obama Administration Announces New Steps to Meet President’s Goal of Preparing 100,000 STEM Teachers, Office of Science and Technology Policy Executive Office of the President, Mar 2013
Robert Noyce Teacher Scholarship Program Solicitation NSF 16-559, National Science Foundation, Sept 2016
H. Keith et al., A university approach to improving STEM teacher recruitment and retention. Kappa Delta Pi Record 51(2), 69–74 (2015)
E. Eckman, M. Silver-Thorn, M. Williams, An integrated model for STEM teacher preparation: the value of a teaching cooperative educational experience. J. STEM Teach. Educ. 51(I) (2016)
C. Craig, P. Evans, D. Stokes, Developing STEM Teachers through both Informal and Formal Learning Experiences (Ediciones Universidad de Salamanca, 2017)
F. Shen, J. Roccosalvo et al., A New Approach for STEM Teacher Scholarship Implementation, vol. 558 (Springer, 2017), pp. 659–666
Acknowledgments
This work is supported by the National Science Foundation (Grant Number: NSF 1340007, $1,418,976, Jan. 2014-Dec. 2018, PI: Fangyang Shen; Co-PI: Mete Kok, Annie Han, Andrew Douglas, Estela Rojas, Lieselle Trinidad, Hon Jie Teo, Project Manager: Janine Roccosalvo, Program Assistant: Kendra Guo, Nanase Akagami, Ivy Mei).
The Noyce project team would also like to thank Prof. Gordon Snyder for his help on the project’s evaluation. We also want to thank all faculty and staffs at both City Tech and BMCC who have helped and supported our Noyce project in the past 5 years.
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Shen, F., Roccosalvo, J., Zhang, J., Ji, Y., Yi, Y., Trinidad, L. (2018). NSF Noyce Recruitment and Mentorship. In: Latifi, S. (eds) Information Technology - New Generations. Advances in Intelligent Systems and Computing, vol 738. Springer, Cham. https://doi.org/10.1007/978-3-319-77028-4_69
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DOI: https://doi.org/10.1007/978-3-319-77028-4_69
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