Abstract
This study describes a professional development (PD) program designed to support middle school teachers in effectively integrating robotics in science and mathematics classrooms. The PD program encouraged the teachers to develop their own science and mathematics lessons, aligned with national standards, infused with robotic activities. A multi-week summer PD and sustained academic year follow-up imparted to the teachers the technical knowledge and skills of robotics as well as an understanding of when and how to use robotics in science and mathematics teaching. The goal of this study is to investigate the effects of the robotics-integrated PD program through the changes of teachers’ technological-pedagogical-and-content knowledge self-efficacy, the improvement in their content knowledge of robotics in the context of science and mathematics teaching, and their reflections on the PD. The 41 participants consisted of 20 mathematics and 20 science teachers and one teacher who teaches both subjects. Three instruments were administered to the teachers during the PD, and follow-up interviews were conducted to further examine benefits and possible impacts on their teaching resulting from the PD. The data were analyzed by both statistical and qualitative methods to identify the effectiveness of the PD. The findings of the study indicate that the PD program was effective in increasing participants’ robotics content knowledge and confidence and outcome expectancy while integrating robotics in their teaching practices. Based on teacher reflections and follow-up interviews, this study offers guidelines for future development of technology-integrated science and mathematics teaching.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Abbitt, J. T. (2011). An investigation of the relationship between self-efficacy beliefs about technology integration and technological pedagogical content knowledge (TPACK) among preservice teachers. Journal of Digital Learning in Teacher Education, 27(4), 134–143.
Aladé, F., Lauricella, A. R., Beaudoin-Ryan, L., & Wartella, E. (2016). Measuring with Murray: Touchscreen technology and preschoolers’ STEM learning. Computers in Human Behavior, 62, 433–441.
Alimisis, D. et al. (2007). Robotics & constructivism in education: The TERECoP project. In I. Kalas (ed.), EuroLogo 2007, 40 Years of Influence on Education, Proceedings of the 11th European Logo Conference (pp. 19–24), August 2007, Bratislava, Slovakia: Comenius University.
Archambault, L., & Crippen, K. (2009). Examining TPACK among K-12 online distance educators in the United States. Contemporary Issues in Technology and Teacher Education, 9(1), 71–88.
Badia, A., & Iglesias, S. (2019). The science teacher identity and the use of technology in the classroom. Journal of Science Education and Technology, 28(5), 532–541.
Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares & T. Urdan (Eds.), Self-efficacy Beliefs of Adolescents (pp. 307–337). Charlotte, NC: Information Age Publishing.
Barak, M., & Assal, M. (2018). Robotics and STEM learning: Students’ achievements in assignments according to the P3 task taxonomy—practice, problem solving, and projects. International Journal of Technology and Design Education, 28(1), 121–144.
Barker, B. S., & Ansorge, J. (2007). Robotics as means to increase achievement scores in an informal learning environment. Journal of Research on Technology in Education, 39(3), 229–243.
Bers, M., Seddighin, S., & Sullivan, A. (2013). Ready for robotics: Bringing together the T and E of STEM in early childhood teacher education. Journal of Technology and Teacher Education, 21(3), 355–377.
Bilici, S. C., Yamak, H., Kavak, N., & Guzey, S. S. (2013). Technological pedagogical content knowledge self-efficacy scale (TPACK-SeS) for pre-service science teachers: Construction, validation, and reliability. Eurasian Journal of Educational Research, 52, 37–60.
Bracken, C. (2010). Educate NXT. Pittsburg, KS: Pitsco Inc.
Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18(1), 32–42.
Carberry, A. R., Lee, H.-S., & Ohland, M. W. (2010). Measuring engineering design self-efficacy. Journal of Engineering Education, 99(1), 71–79.
Chambers, J. M., Carbonaro, M., Rex, M., & Grove, S. (2007). Scaffolding knowledge construction through robotic technology: A middle school case study. Electronic Journal for the Integration of Technology in Education, 6, 55–70.
Clapp, B., & Swenson, J. (2013). The collaborative classroom: New technology brings new paradigm. Atlantic Marketing Journal, 2(3), 60–68.
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. New York, NY: Routledge Academic.
Davis, N., Preston, C., & Sahin, I. (2009). Training teachers to use new technology impacts multiple ecologies: Evidence from a national initiative. British Journal of Educational Technology, 40(5), 861–878.
Delgado-Rico, E., Carretero-Dios, H., & Ruch, W. (2012). Content validity evidences in test development: An applied perspective. International Journal of Clinical and Health Psychology España, 12(3), 449–460.
Eguchi, A. (2010). What is educational robotics? Theories behind it and practical implementation. In Society for Information Technology & Teacher Education International Conference (pp. 4006–4014), March 2010, San Diego, CA: Association for the Advancement of Computing in Education (AACE).
Ertmer, P. A. (2005). Teacher pedagogical beliefs: The final frontier in our quest for technology integration? Educational Technology Research and Development, 53(4), 25–39.
Ertmer, P. A., & Ottenbreit-Leftwich, A. T. (2010). Teacher technology change. Journal of Research on Technology in Education, 42(3), 255–284.
Hixon, E., & Buckenmeyer, J. (2009). Revisiting technology integration in schools: Implications for professional development. Computers in the Schools, 26(2), 130–146.
Howard, S. K., & Mozejko, A. (2015). Teachers: Technology, change and resistance. In M. Henderson & G. Romeo (Eds.), Teaching and Digital Technologies: Big Issues and Critical Questions (pp. 307–317). Port Melbourne, Australia: Cambridge University Press.
Hynes, M., & dos Santos, A. (2007). Effective teacher professional development: Middle school engineering content. International Journal of Engineering Education, 23(1), 24–29.
Inan, F. A., & Lowther, D. L. (2010). Factors affecting technology integration in K-12 classrooms: A path model. Educational Technology Research and Development, 58(2), 137–154.
Joo, Y. J., Park, S., & Lim, E. (2018). Factors influencing preservice teachers’ intention to use technology: TPACK, teacher self-efficacy, and technology acceptance model. Journal of Educational Technology & Society, 21(3), 48–59.
Junior Achievement USA. (2019). Survey: Teen Girls’ Interest in STEM Careers Declines. Retrieved from https://www.juniorachievement.org/web/ja-kansas/131
Karaca, F., Can, G., & Yildirim, S. (2013). A path model for technology integration into elementary school settings in Turkey. Computers & Education, 68, 353–365.
Lawless, K. A., & Pellegrino, J. W. (2007). Professional development in integrating technology into teaching and learning: Knowns, unknowns, and ways to pursue better questions and answers. Review of Educational Research, 77(4), 575–614.
Liu, F., Ritzhaupt, A. D., Dawson, K., & Barron, A. E. (2017). Explaining technology integration in K-12 classrooms: A multilevel path analysis model. Educational Technology Research and Development, 65(4), 795–813.
Luft, J. A., Roehrig, G. H., & Patterson, N. C. (2003). Contrasting landscapes: A comparison of the impact of different induction programs on beginning secondary science teachers’ practices, beliefs, and experiences. Journal of Research in Science Teaching, 40(1), 77–97.
Lynn, M. R. (1986). Determination and quantification of content validity. Nursing Research, 35(6), 382–385.
Martin, F. G. (2001). Robotics Explorations: A Hands-on Introduction to Engineering. Upper Saddle River, NJ: Prentice Hall.
McLellan, H. (1996). Situated learning: Multiple perspectives. In H. McLellan (Ed.), Situated Learning Perspectives (pp. 5–17). Englewood Cliffs, New Jersey: Educational Technology Publications.
Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054.
Moorhead, M., Elliott, C. H., Listman, J. B., Milne, C. E., & Kapila, V. (2016). Professional development through situated learning techniques adapted with design-based research. Proceedings ASEE Annual Conference and Exposition, http://doi.org/10.18260/p.25967.
NRC. (2009). Engineering in K-12 Education: Understanding the Status and Improving the Prospects. National Research Council, Washington, DC: National Academies Press.
NRC. (2012). A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas. National Research Council, Washington, DC: National Academies Press.
National Science Board. (2018). Science and Engineering Indicators 2018, Retrieved from https://www.nsf.gov/statistics/2018/nsb20181/assets/nsb20181.pdf.
NGSS Lead States. (2013). Next Generation Science Standards: For States, By States. Washington, DC: National Academies Press.
Ntemngwa, C., & Oliver, S. (2018). The implementation of integrated science technology, engineering, and mathematics (STEM) instruction using robotics in the middle school science classroom. International Journal of Education in Mathematics, Science and Technology, 6(1), 12–40.
Nugent, G., Barker, B., Grandgenett, N., & Adamchuk, V. I. (2010). Impact of robotics and geospatial technology interventions on youth STEM learning and attitudes. Journal of Research on Technology in Education, 42(4), 391–408.
Ottenbreit-Leftwich, A. T., Kopcha, T. J., & Ertmer, P. A. (2018). Information and communication technology dispositional factors and relationship to information and communication technology practices. Second Handbook of Information Technology in Primary and Secondary Education, (pp. 309–333).
Papert, S. (1993). The Children’s Machine: Rethinking Schools in the Age of the Computer. New York, NY: Basic Books.
Perdue, D. J. (2007). The Unofficial LEGO Mindstorms NXT Inventor’s Guide. San Francisco, CA: No Starch Press.
Perritt, D. C. (2010). Including professional practice in professional development while improving middle school teaching in math. National Teacher Education Journal, 3(3), 73–76.
Pittman, T., & Gaines, T. (2015). Technology integration in third, fourth and fifth grade classrooms in a Florida school district. Educational Technology Research and Development, 63(4), 539–554.
Plair, S. K. (2008). Revamping professional development for technology integration and fluency. The Clearing House, 82(2), 70–75.
Rodberg, S. (2019). Big tech, little change? Technology doesn’t change much in schools unless educators can push past convention. Educational Leadership, 76(5), 75–79.
Ruiz-del-Solar, J., & Avilés, R. (2004). Robotics courses for children as a motivation tool: The Chilean experience. IEEE Transactions on Education, 47(4), 474–480.
Schmidt, D. A., Baran, E., Thompson, A. D., Mishra, P., Koehler, M. J., & Shin, T. S. (2009). Technological pedagogical content knowledge (TPACK) the development and validation of an assessment instrument for preservice teachers. Journal of Research on Technology in Education, 42(2), 123–149.
Schnittka, C., Turner, G. E., Colvin, R. W., & Ewald, M. L. (2014). A state wide professional development program in engineering with science and math teachers in Alabama: Fostering conceptual understandings of STEM. Proceedings ASEE Annual Conference and Exposition, 24.106.1—24.106.24.
Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4–14.
Shulman, L. S. (1987). Knowledge and teaching: Foundations of the new reform. Harvard Educational Review, 57, 1–23.
Smetana, L. K., & Bell, R. L. (2012). Computer simulations to support science instruction and learning: A critical review of the literature. International Journal of Science Education, 34(9), 1337–1370.
US Department of Education. (2017). Reimagining the Role of Technology in Education: 2017 National Education Technology Plan Update. Washington, DC: US Department of Education.
Vollmer, U., Jeschke, S., Burr, B., Knipping, L., Scheurich, J., & Wilke, M. (2011). Teachers need robotics-training, too. In S. Jeschke, I. Isenhardt, & K. Henning (Eds.), Automation, Communication and Cybernetics in Science and Engineering 2009/2010 (pp. 359–364). Berlin, Heidelberg: Springer.
You, H. S., Chacko, S. M., Borges Rajguru, S., & Kapila, V. (2019). Designing robotics-based science lessons aligned with the three dimensions of NGSS-plus-5E model: A content analysis (Fundamental). Proceedings ASEE Annual Conference and Exposition, https://peer.asee.org/32622.
You, H. S., Chacko, S. M., & Kapila, V. (2019). Teaching science with technology: Science and engineering practices of middle school science teachers engaged in a professional development for robotics integration into classroom (Fundamental). Proceedings ASEE Annual Conference and Exposition, https://peer.asee.org/33353.
Zehra, R., & Bilwani, A. (2016). Perceptions of teachers regarding technology integration in classrooms: A comparative analysis of elite and mediocre schools. Journal of Education and Educational Development, 3(1), 1–29.
Acknowledgements
The authors thank the middle-school teachers for their participation in this study.
Funding
This work is supported in part by the National Science Foundation grants DRK-12 DRL: 1417769, ITEST DRL: 1614085, and RET Site EEC: 1542286, and NY Space Grant Consortium grant 76156-10488.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
The authors declare that they have no conflict of interest.
Ethical Approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee (Inst. IRB-FY2016-520) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed Consent
Informed consent was obtained from all individual participants included in the study.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
You, H.S., Chacko, S.M. & Kapila, V. Examining the Effectiveness of a Professional Development Program: Integration of Educational Robotics into Science and Mathematics Curricula. J Sci Educ Technol 30, 567–581 (2021). https://doi.org/10.1007/s10956-021-09903-6
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10956-021-09903-6