Abstract
Robotics has been advocated as an emerging approach to engaging K-12 students in learning science, technology, engineering, and mathematics (STEM). This study examined the impacts of a project-based STEM integrated robotics curriculum on elementary school students’ attitudes toward STEM and perceived learning in an afterschool setting. Three elementary school teachers and 18 fourth to sixth graders participated in an eight-week-long program. Quantitative and qualitative data were collected and analyzed, and showed students’ attitudes toward math improved significantly at the end of the robotics curriculum. Three specific areas of perceived learning were identified, including STEM content learning and connection, engagement and perseverance, and development and challenge in teamwork. The findings also identified the opportunities and challenges in designing a STEM integrated robotics afterschool curriculum for upper elementary school students. Implications for future research studies and curriculum design are discussed.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Altin, H., & Pedaste, M. (2013). Learning approaches to applying robotics in science education. Journal of Baltic Science Education, 12(3), 365–378.
Bandura, A. (1986). Social foundations of thoughts and action: A social cognitive theory. Englewood Cliffs: Prentice Hall.
Barr, D., Harrison, J., & Conery, L. (2011). Computational thinking: a digital age skill for everyone. Learning & Leading with Technology, 38(6), 20–23.
Benitti, F. B. V. (2012). Exploring the educational potential of robotics in schools: a systematic review. Computers & Education, 58(3), 978–988. https://doi.org/10.1016/j.compedu.2011.10.006.
Bers, M. U., Flannery, L., Kazakoff, E. R., & Sullivan, A. (2014). Computational thinking and tinkering: exploration of an early childhood robotics curriculum. Computers & Education, 72, 145–157. https://doi.org/10.1016/j.compedu.2013.10.020.
Binns, I. C., Polly, D., Conrad, J., & Algozzine, B. (2016). Student perceptions of a summer ventures in science and mathematics camp experience. School Science and Mathematics, 116(8), 420–429. https://doi.org/10.1111/ssm.12196.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa.
Buck Institute of Education (BIE) (2017). Why project based learning? Retrieved March 20, 2019 from http://bie.org/.
Ching, Y.-H., Hsu, Y.-C., & Baldwin, S. (2018a). Developing computational thinking with educational technologies for young learners. TechTrends, 62(6), 563–573. https://doi.org/10.1007/s11528-018-0292-7.
Ching, Y.-H., Yang, D., Wang, S., Baek, Y., Swanson, S., & Chittoori, B. (2018b). Improving student attitudes inSTEM through a project-based robotics program. In American Educational Research Association (AERA) Annual Meeting and Exhibition, New York, NY, USA, April 13–17, 2018.
Conrad, J., Polly, D., Binns, I., & Algozzine, B. (2018). Student perceptions of a summer robotics camp experience. The Clearing House: A Journal of Educational Strategies, Issues and Ideals, 91(3), 131–139. https://doi.org/10.1080/00098655.2018.1436819.
Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109–132.
Eguchi, A. (2014). Robotics as a learning tool for educational transformation. Paper presented at the 4th International Workshop Teaching Robotics, Teaching with Robotics & 5th International Conference Robotics in Education, Padova, Italy. https://doi.org/10.4018/978-1-4666-8363-1.ch002
Elkin, M., Sullivan, A., & Bers, M. U. (2014). Implementing a robotics curriculum in an early childhood Montessori classroom [electronic version]. Journal of Information Technology Education: Innovations in Practice, 13, 153–169. Retrieved September 17, 2018, from http://www.jite.org/documents/Vol13/JITEv13IIPvp153-169Elkin882.pdf.
Friday Institute for Educational Innovation. (2012). Elementary school STEM - student survey. Raleigh: Author.
Kafai, Y. B., & Burke, Q. (2015). Constructionist gaming: understanding the benefits of making games for learning. Educational Psychologist, 50(4), 313–334. https://doi.org/10.1080/00461520.2015.1124022.
Kandlhofer, M., & Steinbauer, G. (2015). Evaluating the impact of educational robotics on pupils’ technical- and social-skills and science related attitudes. Robotics and Autonomous Systems, 75, 679–685. https://doi.org/10.1016/j.robot.2015.09.007.
Khanlari, A. (2016). Teachers’ perceptions of the benefits and the challenges of integrating educational robots into primary/elementary curricula. European Journal of Engineering Education, 41(3), 320–330.
Kopcha, T. J., McGregor, J., Shin, S., Qian, Y., Choi, J., Hill, R., et al. (2017). Developing an integrative STEM curriculum for robotics education through educational design research. Journal of Formative Design in Learning, 1(1), 31–44. https://doi.org/10.1007/s41686-017-0005-1.
Leonard, J., Buss, A., Gamboa, R., Mitchell, M., Fashola, O. S., Hubert, T., & Almughyirah, S. (2016). Using robotics and game design to enhance children’s self-efficacy, STEM attitudes, and computational thinking skills. Journal of Science Education and Technology, 25(6), 860–876. https://doi.org/10.1007/s10956-016-9628-2.
Maltese, A. V., & Tai, R. H. (2011). Pipeline persistence: examining the association of educational experiences with earned degrees in STEM among U.S. students. Science Education, 95(5), 877–907 https://doi.org/10.1002/sce.20441.
Moore, T., Stohlmann, M., Wang, H., Tank, K., Glancy, A., & Roehrig, G. (2014). Implementation and integration of engineering in K-12 STEM education. In J. S. Purzer & M. Cardella (Eds.), Engineering in pre-college settings: Synthesizing research, policy, and practices (pp. 35–60). West Lafayette: Purdue University Press.
National Governors Association Center for Best Practices, & Council of Chief State School Officers (2010). Common Core State Standards for mathematics: Grade 4 measurement & data. Retrieved March 20, 2019 from http://www.corestandards.org/Math/Content/4/MD/.
National Research council [NRC]. (2014). STEM integration in K-12 education: Status, prospects, and an agenda for research. Washington: National Academies Press.
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. https://doi.org/10.1080/15391523.2010.10782557.
Papert, S. (1991). Situating constructionism. In S. Papert & I. Harel (Eds.), Constructionism (pp. 1–11). Norwood: Ablex.
Pea, R. (1987). Cognitive technologies for mathematics education. In A. Schoenfled (Ed.), Cognitive science and mathematics education (pp. 89–122). Hillsdale: Erlbaum.
Petre, M., & Price, B. (2004). Using robotics to motivate “back door” learning. Education and Information Technologies, 9(2), 147–158. https://doi.org/10.1023/B:EAIT.0000027927.78380.60.
Scaradozzi, D., Sorbi, L., Pedale, A., Valzano, M., & Vergine, C. (2015). Teaching robotics at the primary school: An innovative approach. Procedia - Social and Behavioral Sciences, 174, 3838–3846. https://doi.org/10.1016/j.sbspro.2015.01.1122.
Schmidt, J., Kafkas, S., Maier, K., Shumow, L., & Kackar-Cam, H. (2018). Why are we learning this? Using mixed methods to understand teachers’ relevance statements and how they shape middle school students’ perceptions of science utility. Contemporary Educational Psychology. https://doi.org/10.1016/j.cedpsych.2018.08.005.
Sha, L., Schunn, C., & Bathgate, M. (2015). Measuring choice to participate in optional science learning experiences during early adolescence. Journal of Research in Science Teaching, 52(5), 686–709. https://doi.org/10.1002/tea.21210.
Simpkins, S. D., Davis-Kean, P. E., & Eccles, J. S. (2006). Math and science motivation: a longitudinal examination of the links between choices and beliefs. Developmental Psychology, 42, 70–83. https://doi.org/10.1037/0012-1649.42.1.70.
Slangen, L., Van Keulen, H., & Gravemeijer, K. (2011). What pupils can learn from working with robotic direct manipulation environments. International Journal of Technology and Design Education, 21(4), 449–469. https://doi.org/10.1007/s10798-010-9130-8.
Stohlmann, M., Moore, T., & Roehrig, G. (2012). Considerations for teaching integrated STEM education. Journal of Pre-College Engineering Education Research, 2(1), 28–34. https://doi.org/10.5703/1288284314653.
Taylor, K. (2016). Collaborative robotics, more than just working in groups: effects of student collaboration on learning motivation, collaborative problem solving, and science process skills in robotic activities. (Doctoral dissertation). Retrieved March 20, 2019 from https://scholarworks.boisestate.edu/cgi/viewcontent.cgi?article=2179&context=td.
Ucgul, M., & Cagiltay, K. (2014). Design and development issues for educational robotics training camps. International Journal of Technology and Design Education, 24(2), 203–222. https://doi.org/10.1007/s10798-013-9253-9.
Unfried, A., Faber, M., Stanhope, D. S., & Wiebe, E. (2015). The development and validation of a measure of student attitudes toward science, technology, engineering, and math (S-STEM). Journal of Psychoeducational Assessment, 33(7), 622–639. https://doi.org/10.1177/0734282915571160.
Wigfield, A., & Eccles, J. S. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, 25(1), 68–68.
Williams, D. C., Ma, Y., Prejean, L., Ford, M. J., & Lai, G. (2007). Acquisition of physics content knowledge and scientific inquiry skills in a robotics summer camp. Journal of Research on Technology in Education, 40(2), 201–216. https://doi.org/10.1080/15391523.2007.10782505.
Yin, R. K. (2012). Applications of case study research. Thousand Oaks: Sage.
Funding
This material is based upon work supported by the National Science Foundation under Grant Number 1640228. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
The authors declare that they have no conflict of interest.
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
Ching, YH., Yang, D., Wang, S. et al. Elementary School Student Development of STEM Attitudes and Perceived Learning in a STEM Integrated Robotics Curriculum. TechTrends 63, 590–601 (2019). https://doi.org/10.1007/s11528-019-00388-0
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11528-019-00388-0