Skip to main content
Log in

Using an Applied Research-Practice Cycle: Iterative Improvement of Culturally Relevant Engineering Outreach

  • Published:
Journal of Formative Design in Learning Aims and scope Submit manuscript

Abstract

By recognizing disconnects between practitioner conceptions of engineering outreach with young people (specifically a lack of focus on cultural relevance), and researcher conceptions of a culturally relevant approach to engineering outreach, we set out to bridge theory and practice by iteratively designing and implementing interventions. We engaged in a cycle of research-informed practice and practice-informed research to develop more culturally relevant approaches to broadening participation in engineering. Research-based findings focused on the importance of understanding common misconceptions of engineering that intervention participants and facilitators may possess. Such understanding enables iterative improvement of activities and research instruments that yield meaningful results. Practice-based insights included findings regarding intervention structure such as needs for different facilitator-to-student ratios for different age groups, and providing volunteer facilitators with a list of “helpful hints” to consider and/or open-ended questions to ask.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Ali, S. R., & Saunders, J. L. (2009). The career aspirations of rural Appalachian high school students. Journal of Career Assessment, 17(2), 172–188. https://doi.org/10.1177/1069072708328897.

    Article  Google Scholar 

  • Bartolomé, L. (1994). Beyond the methods fetish: toward a humanizing pedagogy. Harvard Educational Review, 64(2), 173–195. https://doi.org/10.17763/haer.64.2.58q5m5744t325730.

    Article  Google Scholar 

  • Bennett, S. L. R. (2008). Contextual affordances of rural appalachian individuals. Journal of Career Development, 34(3), 241–262.

    Article  Google Scholar 

  • Brown, B. A. (2006). “It isn’t no slang that can be said about this stuff”: language, identity, and appropriating science discourse. Journal of Research in Science Teaching, 43(1), 96–126. https://doi.org/10.1002/tea.20096.

    Article  Google Scholar 

  • Boynton, M. (2014). People not print: Exploring engineering future possible self-development in rural areas of Tennessee’s Cumberland Plateau. (PhD Dissertation), Virginia Polytechnic Institute and State University.

  • Carrico, C. (2013). Voices in the mountains: A qualitative study exploring factors influencing appalachian high school students’ engineering career goals. (PhD Dissertation), Virginia Polytechnic Institute and State University.

  • Carrico, C., & Matusovich, H. M. (2016). A qualitative examination of rural central appalachian high school student knowledge of the college processes needed to meet career goals. Journal of Women and Minorities in Science and Engineering, 22(3), 259-280. https://doi.org/10.1615/JWomenMinorScienEng.2016013308.

  • Carrico, C., Matusovich, H. M., & Paretti, M. C. (2017). A qualitative analysis of career choice pathways of college-oriented rural central appalachian high school students. Journal of Career Development, 0(0), 0894845317725603. https://doi.org/10.1177/0894845317725603.

  • Capobianco, B. M., Diefes-Dux, H. A., Mena, I., & Weller, J. (2011). What is an engineer? Implications of elementary school student conceptions for engineering education. Journal of Engineering Education, 100(2), 304.

    Article  Google Scholar 

  • Ciechanowski, K., Bottoms, S., Fonseca, A. L., & St Clair, T. (2015). Should rey mysterio drink gatorade? Cultural competence in afterschool stem programming. Afterschool Matters, 21, 29–37.

    Google Scholar 

  • Colston, N., Thomas, J., Ley, M. T., Ivey, T., & Utley, J. (2017). Collaborating for early-age career awareness: a comparison of three instructional formats. Journal of Engineering Education, 106(2), 326–344.

    Article  Google Scholar 

  • Dick, T. P., & Rallis, S. F. (1991). Factors and influences on high school students’ career choices. Journal of Research in Mathematics Education, 22(4), 281–292.

    Article  Google Scholar 

  • Eccles, J. S. (2007). Families, schools, and developing achievement-related motivations and engagement. In J. E. Grusec & P. D. Hastings (Eds.), Handbook of socialization: theory and research (pp. 665–691). New York: Guilford Press.

    Google Scholar 

  • Gillen, A. L., Grohs, J., Matusovich, H. M., & Carrico, C. (2017). Seeing Engineering Everywhere: Culturally Relevant Engineering Activities with Rural and Appalachian Youth. 2017 IEEE Frontiers in Education Conference. Indianapolis, IN.

  • Hidi, S., & Renninger, K. A. (2006). The four-phase model of interest development. Educational Psychologist, 41(2), 111–127.

    Article  Google Scholar 

  • Jacobs, J. E., Finken, L. L., Griffin, N. L., & Wright, J. D. (1998). The career plans of science-talented rural adolescent girls. American Educational Research Journal, 35(4), 681–704.

    Article  Google Scholar 

  • Jamieson, L., & Lohmann, J. (2009). Creating a Culture for Scholarly and Systematic Innovation in Engineering Education, Phase 1 Report. Retrieved from www.ASEE.org.

  • Knight, M., & Cunningham, C. (2004). Draw an engineer test (daet): development of a tool to investigate students’ ideas about engineers and engineering. Paper presented at the ASEE Annual Conference and Exposition.

  • Krathwohl, D. R. (2009). Methods of educational and social science research: the logic of methods (3rd ed). Long Grove: LWaveland Press.

  • Krathwohl, D. R., Bloom, B. S., & Masia, B. B. (1964). Taxonomy of educational objectives: handbook II: affective domain. New York: David McKay Co..

    Google Scholar 

  • Kurth, L. A., Anderson, C. W., & Palincsar, A. S. (2002). The case of carla: dilemmas of helping all students to understand science. Science Education, 86(3), 287–313. https://doi.org/10.1002/sce.10009.

    Article  Google Scholar 

  • Ladson-Billings, G. (1995a). Toward a theory of culturally relevant pedagogy. American Educational Research Journal, 32(3), 465–491. https://doi.org/10.3102/00028312032003465.

    Article  Google Scholar 

  • Ladson-Billings, G. (1995b). But that’s just good teaching! The case for culturally relevant pedagogy. Theory Into Practice, 34(3), 159–165.

    Article  Google Scholar 

  • Lee, O., & Fradd, S. H. (1998). Science for all, including students from non-english-language backgrounds. Educational Researcher, 27(4), 12–21. https://doi.org/10.3102/0013189x027004012.

    Article  Google Scholar 

  • Lemke, J. L. (1990). Talking science: Language, learning, and values: ERIC.

  • Lent, R. W., & Brown, S. D. (2006). On conceptualizing and assessing social cognitive constructs in career research: a measurement guide. Journal of Career Assessment, 14(1), 12–35. https://doi.org/10.1177/1069072705281364.

    Article  Google Scholar 

  • Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79–122.

    Article  Google Scholar 

  • Lent, R. W. (2005). A social cognitive view of career development and counseling. In S. D. Brown & R. W. Lent (Eds.), Career development and counseling: Putting theory and research to work (pp. 101–127), New York: John Wiley, p. 104.

  • Markus, H., & Nurius, P. (1986). Possible selves. American Psychologist, 41(9), 954–969. https://doi.org/10.1037/0003-066x.41.9.954.

    Article  Google Scholar 

  • Matusovich, H. M., Paretti, M. C., McNair, L. D., & Hixson, C. (2014). Faculty motivation: a gateway to transforming engineering education. Journal of Engineering Education, 103(2), 302–330. https://doi.org/10.1002/jee.20044.

    Article  Google Scholar 

  • Matusovich, H. M., Streveler, R. A., & Miller, R. L. (2010). Why do students choose engineering? A qualitative, longitudinal investigation of students’ motivational values. Journal of Engineering Education, 99(4), 289–303.

    Article  Google Scholar 

  • Matusovich, H. M., Carrico, C. A., Paretti, M. C., & Boynton, M. A. (2017). Engineering as a Career Choice in Rural Appalachia: Sparking and Sustaining Interest. International Journal of Engineering Education, 33(1), 463–475.

  • Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: a methods sourcebook. Thousand Oaks: Sage Publications.

    Google Scholar 

  • Mills, G. E. (2007). Action research: a guide for the teacher researcher. Columbus: Prentice-Hall, Inc..

    Google Scholar 

  • Moje, E. B., Collazo, T., Carrillo, R., & Marx, R. W. (2001). “Maestro, what is ‘quality’?”: language, literacy, and discourse in project-based science. Journal of Research in Science Teaching, 38(4), 469–498. https://doi.org/10.1002/tea.1014.

    Article  Google Scholar 

  • Ohland, M. W., Sheppard, S., Lichtenstein, G., Eris, O., Chachra, D., & Layton, R. A. (2008). Persistence, engagement, and migration in engineering programs. Journal of Engineering Education, 97(3), 259–278.

    Article  Google Scholar 

  • Patchen, T., & Cox-Petersen, A. (2008). Constructing cultural relevance in science: a case study of two elementary teachers. Science Education, 92(6), 994–1014. https://doi.org/10.1002/sce.20282.

    Article  Google Scholar 

  • Tendhar, C., Singh, K., & Jones, B. D. (2018). Using the domain identification model to study major and career decision making process. European Journal of Engineering Education, 43(2), 234–246. https://doi.org/10.1080/03043797.2017.1329280.

  • Weber, R. P. (1990). Basic content analysis (2nd ed). Newbury Park, Calif: Sage Publications.

  • White, M. D., & Marsh, E. E. (2006). Content analysis: a flexible methodology. Library Trends, 55(1), 22–45.

    Article  Google Scholar 

  • Wigfield, A., & Cambria, J. (2010). Students’ achievement values, goal orientations, and interest: Definitions, development, and relations to achievement outcomes. Developmental Review, 30(1), 1–35.

    Article  Google Scholar 

Download references

Funding

This paper is based on research supported by the National Science Foundation under Grant Nos. 1232629 and 1657263.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Holly Matusovich.

Ethics declarations

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Conflict of Interest

Drs. Grohs and Matusovich have several grants from the National Science Foundation in addition to the two listed in the acknowledgements for this particular paper. Dr. Matusovich received a fellowship award from Virginia Tech and used some of the associated monetary award to support some of this work. Dr. Grohs has also received internal Virginia Tech funding. Dr. Carrico has a consulting business and works for a variety of people and companies.

Disclaimer

Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gillen, A., Carrico, C., Grohs, J. et al. Using an Applied Research-Practice Cycle: Iterative Improvement of Culturally Relevant Engineering Outreach. J Form Des Learn 2, 121–128 (2018). https://doi.org/10.1007/s41686-018-0023-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41686-018-0023-7

Keywords

Navigation