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Culturally-Centric Outreach and Engagement for Underserved Groups in STEM

Published:21 February 2018Publication History

ABSTRACT

The intersection between Science, Technology and the Arts is providing an insightful and rich playground for engaging historically underrepresented and underserved youth. This paper discusses an innovative and effective approach for learning Science, Technology, Engineering, the Arts and Mathematics (STEAM) with an emphasis on using expressive arts as a culturally-centered engagement tool. Our framework incorporates a multimodal model that considers unconventional learning styles that appeal to underrepresented and underserved students, the power of cultural cues and the presence of minority STEM professionals to shape students learning experiences. In addition to demonstrating the importance of culturally-centered learning approaches, we've identified methods of engaging students' families and communities as a means of strengthening the pipeline to continued education in STEM.

References

  1. Karl L. Alexander, Doris R. Entwisle, and Linda Steffel Olson. 2007. Lasting Consequences of the Summer Learning Gap. American Sociological Review 72, 2 (2007), 167--180.Google ScholarGoogle ScholarCross RefCross Ref
  2. Afterschool Alliance. 2015. Full STEM Ahead: Afterschool Programs Step Up as Key Partners in STEM Education. Technical Report.Google ScholarGoogle Scholar
  3. H Anderton. 2012. STEM, Teens, and Public Libraries: It's Easier Than You Think! Young Adult Library Services 10, 2 (2012).Google ScholarGoogle Scholar
  4. Linda Braun. 2011. The Lowdown on STEM: A formula for luring teens toward science and math. American Libraries (2011). https://americanlibrariesmagazine. org/2011/09/20/the-lowdown-on-stem/Google ScholarGoogle Scholar
  5. Marilynn B. Brewer and Wendi Gardner. 1996. Who Is This "We"? Levels of Collective Identity and Self Representations. Journal of Personality and Social Psychology 71, 1 (7 1996), 83--93.Google ScholarGoogle ScholarCross RefCross Ref
  6. Ronald J Burke and Mary C Mattis. 2007. Women and minorities in science, technology, engineering, and mathematics: Upping the numbers. Edward Elgar Publishing.Google ScholarGoogle Scholar
  7. Ron Butzlaff. 2000. Can Music Be Used to Teach Reading? Journal of Aesthetic Education 34, 3/4 (2000), 167--178. http://www.jstor.org/stable/3333642Google ScholarGoogle ScholarCross RefCross Ref
  8. Clark D. Campbell. 2008. Best Practices for Student Faculty Mentoring Programs. Blackwell Publishing Ltd. 325--343 pages.Google ScholarGoogle Scholar
  9. National Research Council. 2015. Identifying and Supporting Productive STEM Programs in Out-of-School Settings. The National Academies Press, Washington, DC.Google ScholarGoogle Scholar
  10. Douglas B. Downey, Paul T. von Hippel, and Beckett A. Broh. 2004. Are schools the great equalizer? Cognitive inequality during the summer months and the school year. American Sociological Review 69, 5 (10 2004), 613--635.Google ScholarGoogle ScholarCross RefCross Ref
  11. Christopher Emdin. 2010. Urban Science Education for the Hip-hop Generation: Cultural perspectives in science education. Sense Publishers.Google ScholarGoogle Scholar
  12. Samuel A Floyd. 1995. The power of Black music: interpreting its history from Africa to the United States. Oxford University Press.Google ScholarGoogle Scholar
  13. STEM Education Coalition Policy Forum. 2016. The Case for Investing in Out-ofSchool Learning as a Core Strategy in Improving Science, Technology, Engineering, and Mathematics (STEM) Education. Technical Report. Washington, D.C.Google ScholarGoogle Scholar
  14. Gena R. Greher. 2011. Music Technology Partnerships: A Context for Music Teacher Preparation. Arts Education Policy Review 112, 3 (2011), 130--136. https: //www.learntechlib.org/p/109192Google ScholarGoogle ScholarCross RefCross Ref
  15. Philip J. Guo, Juho Kim, and Rob Rubin. 2014. How Video Production Affects Student Engagement: An Empirical Study of MOOC Videos. In Proceedings of the First ACM Conference on Learning @ Scale Conference (L@S '14). ACM, New York, NY, USA, 41--50. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Khe Hew. 2015. Promoting engagement in online courses: What strategies can we learn from three highly rated MOOCS: Engagement: lessons from MOOCs. 47 (01 2015).Google ScholarGoogle Scholar
  17. Hidden Level Games. {n. d.}. Beta the Game. ({n. d.}). http://betathegame.com/Google ScholarGoogle Scholar
  18. Laura Griner Hill and Nicole E. Werner. 2006. Affiliative motivation, school attachment, and aggression in school. Psychology in the Schools 43, 2 (2006), 231--246.Google ScholarGoogle ScholarCross RefCross Ref
  19. Schellenberg E.G. Hunter P.G. 2010. Music and Emotion. In Music Perception, Mari Riess Jones, Richard R. Fay, and Arthur N. Popper (Eds.). Springer-Verlag New York, New York, Chapter 4, 129--164.Google ScholarGoogle Scholar
  20. ilms.gov. 2014. Talking Points: Museums, Libraries and Makerspaces. Technical Report. Washington, D.C.Google ScholarGoogle Scholar
  21. Irene V Jackson. 1985. More Than Dancing: Essays on Afro-American Music and Musicians. Greenwood Press.Google ScholarGoogle Scholar
  22. Patrik N. Juslin, Simon Liljestrüm, Petri Laukka, Daniel VÃ'stfjüll, and LarsOlov Lundqvist. 2011. Emotional reactions to music in a nationally representative sample of Swedish adults. Musicae Scientiae 15, 2 (2011), 174--207.Google ScholarGoogle ScholarCross RefCross Ref
  23. Suvi Laiho. 2004. The Psychological Functions of Music in Adolescence. Nordic Journal of Music Therapy 13, 1 (2004), 47--63.Google ScholarGoogle ScholarCross RefCross Ref
  24. Shui-fong Lam, Bernard P. H. Wong, Hongfei Yang, and Yi Liu. 2012. Understanding Student Engagement with a Contextual Model. In Handbook of Research on Student Engagement. 403--419.Google ScholarGoogle Scholar
  25. S.J. Maddox and R.J. Prinz. 2003. School Bonding in Children and Adolescents: Conceptualization, Assessment, and Associated Variables. Clinical Child and Family Psychology Review 6, 1 (2003), 31--49.Google ScholarGoogle ScholarCross RefCross Ref
  26. Brian Magerko, Jason Freeman, Tom Mcklin, Mike Reilly, Elise Livingston, Scott Mccoid, and Andrea Crews-Brown. 2016. EarSketch: A STEAM-Based Approach for Underrepresented Populations in High School Computer Science Education. Trans. Comput. Educ. 16, 4, Article 14 (Sept. 2016), 25 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Richard H Milner. 2010. Start Where You Are, but Don't Stay There: Understanding Diversity, Opportunity Gaps, and Teaching in Today's Classrooms. Harvard Education Press, Cambridge, MA.Google ScholarGoogle Scholar
  28. Bridgette J. Peteet, LaTrice Montgomery, and Jerren C. Weekes. 2015. Predictors of Imposter Phenomenon among Talented Ethnic Minority Undergraduate Students. The Journal of Negro Education 84, 2 (2015), 11.Google ScholarGoogle Scholar
  29. Carolyn M. Plump and Julia LaRosa. 2017. Using Kahoot! in the Classroom to Create Engagement and Active Learning: A Game-Based Technology Solution for eLearning Novices. Management Teaching Review 2, 2 (2017), 151--158.Google ScholarGoogle ScholarCross RefCross Ref
  30. Mitchel Resnick, John Maloney, Andrés Monroy-Hernández, Natalie Rusk, Evelyn Eastmond, Karen Brennan, Amon Millner, Eric Rosenbaum, Jay Silver, Brian Silverman, and Yasmin Kafai. 2009. Scratch: Programming for All. Commun. ACM 52, 11 (Nov. 2009), 60--67. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. Belle Rose Ragins Roosevelt Eleanor, Day O'Connor Justice Sandra and Kathy E. Kram. 2008. The Roots and Meaning of Mentoring. In The Handbook of Mentoring at Work: Theory, Research, and Practice, Belle Rose Ragins and Kathy E. Kram (Eds.). SAGE Publications, Inc., Thousand Oaks, California, Chapter 1.Google ScholarGoogle Scholar
  32. Kimberly A. Scott, Kevin Clark, Elisabeth Hayes, Cynthia Mruczek, and Kimberly Sheridan. 2010. Culturally Relevant Computing Programs: Two examples to Inform Teacher Professional Development. In Proceedings of Society for Information Technology & Teacher Education International Conference 2010, David Gibson and Bernie Dodge (Eds.). Association for the Advancement of Computing in Education (AACE), San Diego, CA, USA, 1269--1277. https://www.learntechlib.org/p/33532Google ScholarGoogle Scholar
  33. Sandra D. Simpkins, Nathaniel R. Riggs, Bic Ngo, Andrea Vest Ettekal, and Dina Okamoto. 2016. Designing Culturally Responsive Organized After-School Activities. Journal of Adolescent Research 32, 1 (2016), 25.Google ScholarGoogle Scholar
  34. Christopher Small. 1987. Music of the Common Tongue: Survival and Celebration in African American Music. J. Calder, Indiana University.Google ScholarGoogle Scholar
  35. Stuart Zweben and Betsy Bizot. 2016. 2016 Taulbee Survey. Computing Research News 29, 5 (May 2016).Google ScholarGoogle Scholar

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                  • Published in

                    cover image ACM Conferences
                    SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education
                    February 2018
                    1174 pages
                    ISBN:9781450351034
                    DOI:10.1145/3159450

                    Copyright © 2018 ACM

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                    Publication History

                    • Published: 21 February 2018

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                    SIGCSE '18 Paper Acceptance Rate161of459submissions,35%Overall Acceptance Rate1,595of4,542submissions,35%

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