Pilot analysis of the impacts of soft robotics design on high-school student engineering perceptions

Author:

Jackson AndrewORCID,Mentzer Nathan,Kramer-Bottiglio Rebecca

Funder

Division of Research on Learning in Formal and Informal Settings

Publisher

Springer Science and Business Media LLC

Subject

General Engineering,Education

Reference80 articles.

1. Ashcraft, C., McLain, B., & Eger, E. (2016). Women in tech: The facts (2016 update). National Center for Women & Technology. www.ncwit.org/thefacts . Accessed 28 Nov 2017.

2. Ball, T. (2005). Gender bias in FIRST robotics competitions. In C. Crawford, R. Carlsen, I. Gibson, K. McFerrin, J. Price, & R. Weber, et al. (Eds.), Society for information technology and teacher education international conference, Phoenix, AZ (pp. 3626–3630).

3. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191 .

4. Bao, G., Fang, H., Chen, L., Wan, Y., Xu, F., Yang, Q., et al. (2018). Soft robotics: Academic insights and perspectives through bibliometric analysis. Soft Robotics, 5(3), 229–241. https://doi.org/10.1089/soro.2017.0135 .

5. Barker, B. S., Nugent, G., Grandgenett, N., & Adamchuk, V. I. (2012). Robots in K-12 education: A new technology for learning. Hershey: IGI.

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