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Alignment of Hands-on STEM Engagement Activities with Positive STEM Dispositions in Secondary School Students

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Abstract

This study examines positive dispositions reported by middle school and high school students participating in programs that feature STEM-related activities. Middle school students participating in school-to-home hands-on energy monitoring activities are compared to middle school and high school students in a different project taking part in activities such as an after-school robotics program. Both groups are compared and contrasted with a third group of high school students admitted at the eleventh grade to an academy of mathematics and science. All students were assessed using the same science, technology, engineering and mathematics (STEM) dispositions instrument. Findings indicate that the after-school group whose participants self-selected STEM engagement activities, and the self-selected academy of mathematics and science group, each had highly positive STEM dispositions comparable to those of STEM professionals, while a subset of the middle school whole-classroom energy monitoring group that reported high interest in STEM as a career, also possessed highly positive STEM dispositions comparable to the STEM Professionals group. The authors conclude that several different kinds of hands-on STEM engagement activities are likely to foster or maintain positive STEM dispositions at the middle school and high school levels, and that these highly positive levels of dispositions can be viewed as a target toward which projects seeking to interest mainstream secondary students in STEM majors in college and STEM careers, can hope to aspire. Gender findings regarding STEM dispositions are also reported for these groups.

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Notes

  1. An analysis of variance (ANOVA) for career intention of MSOSW students who stated intention for a STEM career versus those who did not, revealed no significant differences (p < .05) in any of the five STEM disposition measures.

  2. Similarly, the top quarter of the MSOSW students is more like the STEM Professionals than the bottom quarter of the MSOSW students (see Table 2).

  3. The profile of the dispositions of TAMS students is even more similar to STEM Professionals than CSTEM high school students (see Fig. 2).

References

  • Abell S (2007) Handbook of research on science education. Lawrence Erlbaum Associates, Mahwah

    Google Scholar 

  • Akinoglu O, Tandogan RO (2007) The effects of problem-based active learning in science education on students’ academic achievement, attitude and concept learning. Eurasia J Math Sci Technol Educ 3(1):71–81

    Google Scholar 

  • Dunn-Rankin P et al (1971) Norming and scoring the school attitude survey (SAI) (A final report to the Hawaii State Department of Education), University of Hawaii, Education Research and Development Center, Honolulu

  • American Association of University Women (2010) Why so few? Women in science, technology, engineering, and mathematics. American Association of University Women, Washington

    Google Scholar 

  • Aschbacher PR, Ing M, Tsai SM (2013) Boosting student interest in science. Kappan Mag 95(2):47–51

    Article  Google Scholar 

  • Baird JR, Penna C (1992) Survey research. In: Baird JR (ed) Shared adventure: a view of quality teaching and learning (Second report of the teaching and learning science in schools project), Monash University, Melbourne, Australia, pp 185–274

  • Banning J, Folkestad JE (2012) STEM education related dissertation abstracts: a bounded qualitative meta-study. J Sci Educ Technol 21(6):730–741

    Article  Google Scholar 

  • Beaton AE, Martin MO, Mullis IVS, Gonzalez EJ, Smith TA, Kelly DL (1996) Science achievement in the middle school years. Boston College, Chestnut Hill

    Google Scholar 

  • Bialo ER, Sivin-Kachala J (1996) The effectiveness of technology in schools: a summary of recent research. Sch Libr Media Q 25(1):51–57

    Google Scholar 

  • Bisland M, Kekelis L, McCreedy D, Koster E, Gupta P, Roman C (2011). Science museum roundtable. Discussion at the NCWIT K-12 Alliance Summit, New York

  • Bonwell C, Eison J (1991) Active learning: creating excitement in the classroom. AEHE-ERIC Higher Education Report No. 1., Jossey-Bass, Washington

  • Bybee RW (2010). Advancing STEM education: a 2020 vision. Technol Eng Teach 70(6):30–35. Retrieved from http://www.iteaconnect.org

  • Ceci SJ, Williams WM, Barnett SM (2009) Women’s underrepresentation in science: sociocultural and biological considerations. Psychol Bull 135(2):218–261

    Article  Google Scholar 

  • Christensen R, Knezek G (2001) Equity and diversity in K-12 applications of information technology: key instructional design strategies (KIDS) project findings for 2000–2001 (Year Two Report), Institute for the Integration of Technology into Teaching and Learning (IITTL), Denton, TX

  • Christensen R, Knezek G (2013) Contrasts in student perceptions of STEM content and careers. In: McBride R, Searson M (eds) Proceedings of society for information technology and teacher education international conference 2013 AACE, Chesapeake, VA, pp 2048–2053. Retrieved 2 Jan 2014 from http://www.editlib.org/p/48404

  • Christensen R, Knezek G, Tyler-Wood T (2014a) Student perceptions of science, technology, engineering and mathematics (STEM) content and careers. Comput Hum Behav 34:173–186. doi:10.1016/j.chb.2014.01.046

    Article  Google Scholar 

  • Christensen R, Knezek G, Tyler-Wood T, Gibson D (2014b) Longitudinal analysis of cognitive constructs fostered by STEM activities in middle school students. Knowl Manag E-Learning 6(2):103–122

    Google Scholar 

  • Christensen R, Knezek G, Tyler-Wood T (2015) Dispositions of teachers in STEM enrichment programs. In: Proceedings of the Hawaii international conference on education, Honolulu, HI

  • Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. Lawrence Earlbaum Associates, Hillsdale

    Google Scholar 

  • Davidson DM (1995) What does integration of science and mathematics really mean? Sch Sci Math 95(5):226–230

    Article  Google Scholar 

  • DeVellis RF (1991) Scale development. Sage Publications, Newbury Park

    Google Scholar 

  • Dewey J (1938) Experience and education. A touchstone book. Kappa Delta Pi, New York

    Google Scholar 

  • Dweck C (2006) Is math a gift? Beliefs that put females at risk. In: Ceci SJ, Williams WM (eds) Why aren’t more women in science? Top researchers debate the evidence. American Psychological Association, Washington, pp 47–55

    Google Scholar 

  • Ebenezer JV, Zoller U (1993) Grade 10 students’ perceptions of and attitudes toward science teaching and school science. J Res Sci Teach 30(2):175–186

    Article  Google Scholar 

  • Gallagher S (1997) Problem-based learning: Where did it come from, what does it do and where is it going? J Educ Gifted 29(4):332–362

    Google Scholar 

  • George P, Stevenson C, Thomason J, Beane J (1992) The middle school and beyond. Association for Supervision and Curriculum Development, Alexandria

    Google Scholar 

  • Ghanbari S (2014) STEAM: the wave of the future embedded in ideals of the past. STEAM J 1(2):17

    Google Scholar 

  • Halverson HG (2011) The trouble with bright girls. Huffington Post, March 1. http://www.huffingtonpost.com/heidi-grant-halvorson-phd/girls-confidence_b_828418.html. Accessed 1 Mar 2011

  • Heemskerk IMCC, Brink AM, Volman MLL, ten Dam GTM (2005) Inclusiveness and ICT in education: a focus on gender, ethnicity and social class. J Comput Assist Learn 21(1):1–16

    Article  Google Scholar 

  • Heilbronner NN (2011) Stepping onto the STEM pathway. J Educ Gifted 34(6):876–899

    Google Scholar 

  • Holden JP, Lander ES, Varmus H (2010). Prepare and inspire: K-12 education in science, technology, engineering and math (STEM) for America’s future (Executive Report). Presidents’ Council of Advisors on Science and Technology, Washington

  • Keeley P (2009) Elementary science education in the K-12 system. NSTA Reports. Retrieved from http://nsta.org/publications/news/story.aspx?id=55954

  • Knezek G, Christensen R (1998) Internal consistency reliability for the teachers’ attitudes toward information technology (TAT) questionnaire. In: McNeil S, Price J, Boger-Mehall S, Robin B, Willis J (eds) Proceedings of the society for information technology in teacher education annual conference, Society for Information Technology in Teacher Education, Bethesda, MD pp 831–836

  • Knezek G, Christensen R (2009) CFB high school student technology report spring 2009. Unpublished manuscript

  • Knezek G, Christensen R, Tyler-Wood T (2011) Contrasting perceptions of STEM content and careers. Contemp Issues Technol Teach Educ 11(1):92–117

    Google Scholar 

  • Knezek G, Christensen R, Tyler-Wood T, Periathiruvadi S (2013) Impact of environmental power monitoring activities on middle school student perceptions of STEM. Sci Educ Int 24(1):98–123

    Google Scholar 

  • Knezek G, Christensen R, Tyler-Wood T (2014) Going green! Middle schoolers out to save the world (MSOSW). National Science Foundation Award 1312168 Annual Report

  • Knezek G, Christensen R, Tyler-Wood T (2015) Teacher dispositions toward science, technology, engineering and mathematics (STEM). In: Proceedings of society for information technology and teacher education international conference 2015, Association for the Advancement of Computing in Education (AACE), Chesapeake, VA, pp 1362–1368

  • Lederman N (1997) The nature of science: Naturally? Sch Sci Math 97(1):1–2

    Article  Google Scholar 

  • Lent RW, Sheu H, Schmidt J, Brenner BR, Wilkins G, Brown SD, Gloster CS, Schmidt LC, Lyons H, Treisteman D (2005) Social cognitive predictors of academic interests and goals in engineering: utility for women and students at historically black universities. J Couns Psychol 52(1):84–92

    Article  Google Scholar 

  • Maltese AV, Tai RH (2011) Pipeline persistence: examining the association of educational experiences with earned degrees in STEM among US students. Sci Educ 95(5):877–907

    Article  Google Scholar 

  • Milner AR, Sondergeld TA, Demir A, Johnson CC, Czerniak CM (2012) Elementary teachers’ beliefs about teaching science and classroom practice: an examination of pre-post NCLB testing in science. J Sci Teach Educ 23(2):111–132

    Article  Google Scholar 

  • Modi K, Schoenberg J, Salmond K (2012) Generation STEM: what girls say about science, technology, engineering and math. The Girl Scout Research Institute

  • Myers RE, Fouts JT (1992) A cluster analysis of high school science classroom environments and attitude toward science. J Res Sci Teach 29:929–937

    Article  Google Scholar 

  • National Research Council (2012) A framework for K-12 science education: practices, crosscutting concepts, and core ideas. The Academies Press, Washington

    Google Scholar 

  • Nguyen HHH, Ryan AMM (2008) Does stereotype threat affect test performance of minorities and women? A meta-analysis of experimental evidence. J Appl Psychol 93(6):1314–1334

    Article  Google Scholar 

  • Osborne J, Simon S, Collins S (2003) Attitudes towards science: a review of the literature and its implications. Int J Sci Educ 25(9):1049–1079

    Article  Google Scholar 

  • Potvin P, Hasni A (2014) Analysis of the decline in interest towards school science and technology from grades 5 through 11. J Sci Educ Technol 23(6):784–802

    Article  Google Scholar 

  • Sadler PM, Sonnert G, Hazari Z, Tai R (2012) Stability and volatility of STEM career interest in high school: a gender study. Sci Educ 96(3):411–427

    Article  Google Scholar 

  • Sundberg MD, Dini ML, Li E (1994) Decreasing course content improves student comprehension and attitudes toward science in freshman biology. J Res Sci Teach 31:679–693

    Article  Google Scholar 

  • Super DE (1969) Vocational development theory. Couns Psychol I:2–30

    Article  Google Scholar 

  • Tai RH, Liu QC, Maltese AV, Fan X (2006) Planning early for careers in science. Science 312:1143–1144

    Article  Google Scholar 

  • Talton EL, Simpson RD (1987) Relationships of attitude toward classroom environments with attitude toward and achievement in science among tenth grade biology students. J Res Sci Teach 24(6):507–525

    Article  Google Scholar 

  • Tyler-Wood T, Knezek G, Christensen R (2010) Instruments for assessing interest in stem content and careers. J Technol Teach Educ 18(2):341–363

    Google Scholar 

  • United States Department of Education (2006) The condition of education. National Center for Education Statistics, US Government Printing Office, Washington

    Google Scholar 

  • Walton GM, Spencer SJ (2009) Latent ability: grades and test scores systematically underestimate the intellectual ability of negatively stereotyped students. Psychol Sci 20(9):1132–1139

    Article  Google Scholar 

  • Zaichkowsky JL (1985) Measuring the involvement construct. J Consum Res 12(3):341–352

    Article  Google Scholar 

Download references

Acknowledgments

This research was funded in part by the NSF ITEST Grants #0833706, #1030865 and #1312168.

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The authors declare that they have no conflict of interest.

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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.

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Correspondence to Rhonda Christensen.

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Christensen, R., Knezek, G. & Tyler-Wood, T. Alignment of Hands-on STEM Engagement Activities with Positive STEM Dispositions in Secondary School Students. J Sci Educ Technol 24, 898–909 (2015). https://doi.org/10.1007/s10956-015-9572-6

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