Advertisement

Journal of Science Education and Technology

, Volume 23, Issue 3, pp 370–380 | Cite as

Integration of Innovative Technologies for Enhancing Students’ Motivation for Science Learning and Career

  • Yichun XieEmail author
  • David Reider
Article

Abstract

This paper analyzes the outcomes of an innovative technology experience for students and teachers (ITEST) project, Mayor’s Youth Technology Corps (MYTCs) in Detroit, MI, which was funded by the NSF ITEST program. The MYTC project offered an integration of two technologies, geographic information system (GIS) and information assurance (IA), to stimulate students’ interests in science, technology, engineering, and mathematics (STEM) career pathways and learning opportunities among high schools in underserved communities of the City of Detroit. Pre- and post-surveys demonstrated that the MYTC students showed growth in nearly every area covered in the surveys, including dispositions about STEM career and learning. A STEM career goal measure showed that overall interest in having a career in STEM increased 9 % throughout the program, with an additional 10 % for those who participated in an internship experience, the capstone of the MYTC project.

Keywords

Science education STEM career Student motivation Geo-spatial technology Information assurance Innovative technology Future career Low-income cities 

Notes

Acknowledgments

This paper was supported in part by Innovative Technology Experience for Students and Teachers Program at NSF under the Award #, DRL-0737589. The supports from Information Assurance Program at Eastern Michigan University, Detroit Public Schools, and the City of Detroit Office of Homeland Security and Emergency Management, and the evaluation data collection and analysis from The Education Design, INC, are also acknowledged.

References

  1. Baker DR (1985) Predictive value of attitude, cognitive ability, and personality to science achievement in the middle school. J Res Sci Teach 22(2):103–113CrossRefGoogle Scholar
  2. Baker TR (2005) Internet-based GIS mapping in support of K-12 education. Prof Geogr 57(1):44–50Google Scholar
  3. Bednarz S (1995) Researching new standards: GIS and K-12 geography. In: GIS/LIS ’95 conference proceedings, Nashville, TN, pp 44–52Google Scholar
  4. Bednarz SW, Ludwig G (1997) Ten things higher education needs to know about GIS in primary and secondary education. Trans GIS 2(2):123–133CrossRefGoogle Scholar
  5. Bednarz SW, van der Schee J (2006) Europe and the United States: the implementation of geographic information systems in secondary education in two contexts. Technol Pedagogy Educ 15(2):191–205CrossRefGoogle Scholar
  6. Beeler C (2010) Camp trains future cybersecurity experts. http://www.npr.org/templates/story/story.php?storyId=129236426. Accessed 1 May 2011
  7. Bergersen B, Mellerio D, Pedagno T, Noga V, Hartwell B (2012) Winning the cybersecurity war: continuous monitoring, leveraging intelligence data, and government-wide collaboration. Government Technology Research Alliance Council Meeting, Dec 2–4, 2012, Bedford Springs Hotel, Bedford, PA. http://www.gtra.org/component/content/article/2373. Accessed 3 June 2013
  8. Boss S (2013) Project-based learning: a short history. http://www.edutopia.org/project-based-learning-history. Accessed 16 July 2013
  9. Breetzke G, Eksteen S, Pretorius E (2011) Paper-based GIS: a practical answer to the implementation of GIS education into resource-poor schools in South Africa. J Geogr 110(4):148–157Google Scholar
  10. Carver S (2001) Public participation using web-based GIS. Environ Plan B Plan Des 28:803–804CrossRefGoogle Scholar
  11. Clark AM, Monk J, Yool SR (2007) GIS pedagogy, Web-based learning and student achievement. J Geogr High Educ 31(2):225–239CrossRefGoogle Scholar
  12. Donaldson D (2001) With a little help from our friends: implementing geographic information systems (GIS) in K-12 schools. Soc Educ 65(3):147–150Google Scholar
  13. Drennon C (2005) Teaching geographic information systems in a problem-based learning environment. J Geogr Higher Educ 29(3):385–402CrossRefGoogle Scholar
  14. Ebenezer J, Columbus R, Kaya O, Zhang L, Ebenezer D (2012) One science teacher’s professional development experience: a case study exploring changes in students’ perceptions of their fluency with innovative technologies. J Sci Educ Technol 21:22–37CrossRefGoogle Scholar
  15. Elder J (1998) Teaching at the edge. In: Elder J (ed) Stories in the land: a place-based environmental education anthology. Great Barrington, The Orion SocietyGoogle Scholar
  16. Getis A (2008) What holds us together. ArcNews 29(4):1–4Google Scholar
  17. Gewin V (2004) Careers and recruitment: mapping opportunities. Nature 427:376–377CrossRefGoogle Scholar
  18. Green DR (1997) Cartography and the internet. Cartogr J 34:23–27CrossRefGoogle Scholar
  19. Guskey TR, Yoon KS (2009) What works in professional development? Phi Delta Kappan 90(7):495–500Google Scholar
  20. Hawley W, Valli L (1999) The essentials of effective professional development. In: Darling-Hammond L, Sykes G (eds) Teaching as the learning profession: handbook of policy and practice. Jossey-Bass Publishers, San FranciscoGoogle Scholar
  21. Henry P, Semple H (2012) Integrating online GIS into the K-12 curricula: lessons from the development of a collaborative GIS in Michigan. J Geogr 111(1):3–14CrossRefGoogle Scholar
  22. Hunter B, Xie Y (2001) Data tools for real-world learning. Learn Lead Technol 28(7):18–24Google Scholar
  23. Kali Y (2002) CILT2000: visualization and modeling. J Sci Educ Technol 11(3):305–310CrossRefGoogle Scholar
  24. Kerski J (2000) The implementation and effectiveness of geographic information systems technology and methods in secondary education. Ph.D. dissertation, University of Colorado at BoulderGoogle Scholar
  25. Kim MS, Kim KY, Lee SI (2013) Pedagogical potential of a web-based GIS application for migration data: a preliminary investigation in the context of South Korea. J Geogr 112(3):97–107CrossRefGoogle Scholar
  26. Krapfel P (1999) Deepening children’s participation through local ecological investigations. In: Smith GA, Williams DR (eds) Ecological education in action. State University of New York Press, Albany, pp 47–64Google Scholar
  27. Kulo V, Bodzin A (2013) The impact of a geospatial technology-supported energy. J Sci Educ Technol 22:25–36. doi: 10.1007/s10956-012-9373-0 CrossRefGoogle Scholar
  28. Lay JG, Chen YW, Chi YL (2013) GIS adoption among senior high school geography teachers in Taiwan. J Geogr 112(3):120–130CrossRefGoogle Scholar
  29. Leidner D, Jarvenpaa S (1995) The use of information technology to enhance management school education: a theoretical view. MIS Q 19(3):265–291CrossRefGoogle Scholar
  30. Li HT, Peng QS, Li YH (2009) Data security analysis of WebGIS based on tile-map technique. In: Proceedings of the 2009 international symposium on web information systems and applications (WISA’09), Nanchang, P. R. China, May 22–24, 2009, pp 190–193Google Scholar
  31. Liaghatdar MJ, Soltani A, Abedi A (2011) A validity study of attitudes toward science scale among Iranian secondary school students. Int Educ Stud 4(4):36–46CrossRefGoogle Scholar
  32. Literat I (2013) Participatory mapping with urban youth: the visual elicitation of socio-spatial research data. Learn, Media Technol. doi: 10.1080/17439884.2013.782037
  33. LRC (2012a) ITEST program snapshot. ITEST Learning Resource Center. http://itestlrc.edc.org/sites/itestlrc.edc.org/files/Snapshot_2012_Final_1.pdf. Accessed 7 Sept 2013
  34. LRC (2012b) ITEST Learning Resource Center, http://itestlrc.edc.org/. Accessed 7 Sept 2013
  35. MRM (Market Research Media) (2013) U.S. Federal Cybersecurity Market Forecast 2013–2018. http://www.marketresearchmedia.com/?p=206. Accessed 3 June 2013
  36. Nabhan GP, Trimble S (1994) The geography of childhood: why children need wild places. Beacon Press, BostonGoogle Scholar
  37. Newson C (2012) About ITEST. http://itestlrc.edc.org/about-itest. Accessed 7 Sept 2013
  38. Niedomysl T, Elldér E, Larsson A, Thelin M, Jansund B (2013) Learning benefits of using 2D versus 3D maps: evidence from a randomized controlled experiment. J Geogr 112(3):87–96CrossRefGoogle Scholar
  39. NRC (National Research Council) (2006) Learning to think spatially: GIS as a support system in the K-12 curriculum. http://www.nap.edu/catalog.php?record_id=11019. Accessed 18 April 2013
  40. NRC (National Research Council) (2010a) Understanding the changing planet: strategic directions for the geographic sciences. The Committee on Strategic Directions for the Geographic Sciences in the Next Decade, Division on Earth and Life Studies, National Research Council. The National Academies Press, Washington, DC, USA, p 172Google Scholar
  41. NRC (National Research Council) (2010b) Report of a workshop on the scope and nature of computational thinking. Committee for the workshops on computational thinking computer science and telecommunications board division on engineering and physical sciences. National Academies Press, Washington, DC, USA, pp 3–5Google Scholar
  42. NRC (National Research Council) (2011) Expanding underrepresented minority participation: America’s science and technology talent at the crossroads. The National Academies Press, Washington, DC, USA, p 269Google Scholar
  43. NSF (2012) Innovative technology experiences for students and teachers (ITEST)—Program solicitation. http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf12597. Accessed 7 Sept 2013
  44. Owen SV, Toepperwein MA, Marshall CE, Lichtenstein MJ, Blalock CL, Liu Y, Pruski LA, Grimes K (2008) Finding pearls: psychometric reevaluation of the Simpson–Troost Attitude Questionnaire (STAQ). Sci Educ 92(6):1076–1095CrossRefGoogle Scholar
  45. Peng ZR, Tsou MS (2003) Internet GIS: distributed geographic information services for the internet and wireless networks. Wiley, New YorkGoogle Scholar
  46. Rohrer RM, Swing E (1997) Web-based information visualization. IEEE Comput Graph Appl 17:63–69CrossRefGoogle Scholar
  47. Rye J, Landenberger R, Warner TA (2012) Incorporating concept mapping in project-based learning: Lessons from watershed investigations. J Sci Educ Technol. doi: 10.1007/s10956-012-9400-1
  48. Sánchez J, Olivares R (2011) Problem solving and collaboration using mobile serious games. Comput Educ 57:1943–1952CrossRefGoogle Scholar
  49. Scher L, O’Reilly F (2009) Professional development for K-12 math and science teachers: what do we really know? J Res Educ Eff 2(3):209–249Google Scholar
  50. Simpson RD, Oliver JS (1985) Attitude toward science and achievement motivation profiles of male and female science students in grades six through ten. Sci Educ 69(4):511–525CrossRefGoogle Scholar
  51. Simpson RD, Troost KM (1982) Influences on commitment to and learning of science among adolescent students. Sci Educ 66:763–781CrossRefGoogle Scholar
  52. Stake JE, Mares KR (2005) Evaluating the impact of science-enrichment programs on adolescents’ science motivation and confidence: the splashdown effect. J Res Sci Teach 42(4):359–375CrossRefGoogle Scholar
  53. Tobin K (2005) Using science education to expand the agency of urban youth—keynote address. Paper presented at the Second Annual Symposium on Optimizing Science Achievement for All Students, University of Maryland Institute for Minority Achievement and Urban EducationGoogle Scholar
  54. Tomei L (2012) Advancing education with information communication technologies: facilitating new trends. IGI Global, p 456. doi: 10.4018/978-1-61350-468-0
  55. USCB—U.S. Census Bureau (2013) 2007–2011 American community survey (ACS) 5-year estimates—demographic and housing estimates http://factfinder2.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_11_5YR_DP05. Accessed 4 June 2013
  56. USDL-BLS (U.S. Department of Labor—Bureau of Labor Statistics) (2004) BLS releases 2002–2012 employment projections, February 11, 2004. http://www.bls.gov/news.release/archives/ecopro_02112004.pdf. Accessed 1 June 2013
  57. USDL-BLS (U.S. Department of Labor—Bureau of Labor Statistics) (2012) Employment projections—2010–2020, February 1, 2012. http://bls.gov/news.release/ecopro.nr0.htm. Accessed 1 June 2013
  58. USDL-ETA (U.S. Department of Labor—Employment and Training Administration) (2010) High growth industry profile—geospatial technology, http://www.doleta.gov/BRG/Indprof/geospatial_profile.cfm. Accessed 4 June 2013
  59. van Eijck M, Roth W (2007) Rethinking the role of information technology-based research tools in students’ development of scientific literacy. J Sci Educ Technol 16(3):225–238CrossRefGoogle Scholar
  60. Wang CH, Ke YT, Wu JT, Hsu WH (2012) Collaborative action research on technology integration for science learning. J Sci Educ Technol 21:125–132. doi: 10.1007/s10956-011-9289-0 CrossRefGoogle Scholar
  61. Wessels T (1999) Reading the landscape’s history. In: Zwinger Ann (ed) Into the field: a guide to locally focused teaching. The Orion Society, Great BarringtonGoogle Scholar
  62. Whittaker Z (2013) Obama’s cybersecurity executive order: what you need to know. ZDNet, February 13, 2013. http://www.zdnet.com/obamas-cybersecurity-executive-order-what-you-need-to-know-7000011221/. Accessed 3 June 2013
  63. Wing J (2006) Computational thinking. Commun ACM 49(3):33–35CrossRefGoogle Scholar
  64. Zogby (2011) The state of K-12 cyberethics, cybersafety and cybersecurity curriculum in the United States. http://resourceconnection.blogspot.com/2011/05/2011-state-of-k-12-cyberethics.html. Accessed 18 Sept 2013

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Institute for Geospatial Research and EducationEastern Michigan UniversityYpsilantiUSA
  2. 2.Education Design, INCNewtonUSA

Personalised recommendations