SCENARIO-BASED eLEARNING AND STEM EDUCATION: A QUALITATIVE STUDY EXPLORING THE PERSPECTIVES OF EDUCATORS
There are a variety of extra curricular activities and programs that aim to promote Science, Technology, Engineering, and Mathematics (STEM) education, but there are limited examples of extending STEM curriculum by employing scenario-based eLearning opportunities in a mobile lab learning environment. Following students participation in a first of its kind STEM Mobile Lab program that uses a scenario-based eLearning approach for instruction, twelve educators from four Title I elementary schools were asked about their perceptions of the influence of the Mobile Lab program on the STEM education of their students. The semi-structured interview protocol contained questions intended to explore participants’ perceptions regarding the influence of a scenario-based eLearning Mobile STEM Lab program on the STEM interest and achievement of students. The study found that a scenario-based eLearning Mobile STEM Lab can influence STEM interest and achievement of elementary students. This promising finding leads to a recommendation for educators to use this approach and similar programs to make students more interested in science and improve their grades. Efforts by educators to design and implement scenario-based eLearning opportunities lead to increased learner engagement.
Carnegie Science Center. (2014). The role of STEM education in improving the tristate region’s workforce. Retrieved from http://www.carnegiesciencecenter.org/stemcenter/stemcenter-work-to-do-the-role-of-stem-education/
Chesloff, J. D. (2013). STEM education must start in early childhood. Education Week, 32(23), 27-32. http://maroundtable.com/doc_news/1303_EdWeek_STEMEarlyChildhood.pdf
Dewey, J. (1938). Experience and education. New York, NY: Touchstone Books.
Elmore, B., Mariappan, J., & Hays, G. (2003). Improving Performance through Simulation - A Scenario Based Learning Approach. White Paper, Experia Solutions.
Gallagher, S. A., & Gallagher, J. J. (2013). Using Problem-based Learning to Explore Unseen Academic Potential. Interdisciplinary Journal of Problem-Based Learning, 7(1). Available at: http://dx.doi.org/10.7771/1541-5015.1322
Gijselaers, W. H. (1996). Connecting problem based practices with educational theory. In L. Wilker-son & W. H. Gijselaers (Eds.), Bringing problembased learning to higher education: Theory and practice (pp. 13–21). San Francisco: JosseyBass. doi:10.1002/tl.37219966805
Grider, C. (1993). Foundations of cognitive theory: A concise review. Retrieved from http://files.eric.ed.gov/fulltext/ED372324.pdf
Gutek, G. L. (1997). Philosophical and ideological perspectives on education (2nd ed.) New York, NY: Prentice-Hall. https://eric.ed.gov/?id=ED419763
Hanover Research. (2012). Best practices in elemen-tary STEM programs. Retrieved from http://www.hanoverresearch.com/media/Best-Practices-in-Personalized-Learning-Environments.pdf
Hom, E. J. (2014). What is STEM education? Retrieved from http://www.livescience.com/43296-what-is-stem-education.html
Honey, M., Pearson, G., & Schweingruber, H. (Eds.). (2014). STEM integration in K-12 education: Status, prospects, and an agenda for research. Washington, D.C.: The National Academies Press. http://www.middleweb.com/wp-content/uploads/2015/01/STEM-Integration-in-K12-Education.pdf
Johnson, J. A., Musial, D., Halle, G. E., Gollnick, D. M., & Dupuis, V. L. (2005). Introduction to the foundations of American education (13th ed.). Boston, MA: Pearson.
Lemelson-MIT Invention Index (2011). Survey reveals potential innovation gap in the U.S.: Young women possess characteristics of inventors, but do not see themselves as inventive. Retrieved from: http://news.mit.edu/2011/lemelson-invention-index
Manno, M. (2012). STEM initiatives in Florida. Retrieved from https://teach.com/blog/stem-florida/
Maryland State Department of Education. (2012). Maryland Stem. Baltimore, MD: Maryland State Department of Education.
Maxwell, J. (2013). Qualitative research design: An interactive approach. Los Angeles, CA: Sage Publishing. https://goo.gl/m8XAK6
Merriam, S. (2009). Qualitative research: a guide to design and implementations. San Franscisco: Jossey-Bass.
Miles, Matthew B. & Huberman, A. Michael (1994). Qualitative data analysis: An expanded source-book (2nd ed.). Beverly Hills, CA: Sage.https://goo.gl/CTfAaq
National Research Council. (2011). Successful K-12 STEM education: Identifying effective approaches in science, technology, engineering, and mathematics. Washington, DC: NAP. https://goo.gl/1JEnUQ
National Science Foundation. (2010). Integrated postsecondary education data system completions survey. Retrieved from https://caspar.nsf.gov/
National Science Board, National Science Foundation (2003). The Science and Engineering Work-force. Realizing America’s Potential (NSB 0369). Retrieved from https://www.nsf.gov/nsb/documents/2003/nsb0369/nsb0369.pdf
Organisation for Economic Cooperation and Development (OECD) (2006). Assessing scientific, reading and mathematical literacy. Paris: OECD.
Petit, S. (2012). Maryland moves ahead with STEM initatives. The Baltimore Sun. Retrieved from http://www.baltimoresun.com/ph-ll-cns-stem-20121205-story.html
Rowan-Kenyon, H., Swan, A., & Creager, M. (2012, March). Social cognitive factors, support and engagement: Early adolescents’ math interests as precursors to choice of career. The Career Development Quarterly, 60, 2-15. doi:10.1002/j.2161-0045.2012.00001.x
STEM Smart. (2014). STEM smart brief. Improving STEM curriculum and instruction: Engaging students and raising standards. Retrieved from http://successfulstemeducation.org/resources
Vygotsky, L., & Kozulin, A. (2011). The dynamics of the schoolchild’s mental development in relation to teaching and learning. Journal of Cognitive Education and Psychology, 10(2), 198-211. doi:10.1891/1945–8918.104.22.168