Teacher Self-efficacy During the Implementation of a Problem-based Science Curriculum
Charles Hodges, Georgia Southern University, United States ; Jessica Gale, Georgia Institute of Technology Center for Education Integrating Science, Mathematics, and Computing (CEISMC), United States ; Alicia Meng, Georgia Southern University, United States
CITE Journal Volume 16, Number 4, ISSN 1528-5804 Publisher: Society for Information Technology & Teacher Education, Waynesville, NC USA
This study was conducted to investigate eighth-grade science teachers’ self-efficacy during the implementation of a new, problem-based science curriculum. The curriculum included applications of LEGO® robotics, a new technology for these teachers. Teachers’ responded to structured journaling activities designed to collect information about their self-efficacy for teaching with the curriculum and, later, to a survey designed to probe their self-efficacy for enacting specific elements of the curriculum. Participants reported high confidence levels throughout the study but expressed some concerns related to their local contexts.
Hodges, C., Gale, J. & Meng, A. (2016). Teacher Self-efficacy During the Implementation of a Problem-based Science Curriculum. Contemporary Issues in Technology and Teacher Education, 16(4), 434-451. Waynesville, NC USA: Society for Information Technology & Teacher Education. Retrieved March 20, 2019 from https://www.learntechlib.org/primary/p/151934/.
© 2016 Society for Information Technology & Teacher Education
- Andersen, A., Dragsted, S., Evans, R., & Sorensen, H. (2004). The relationship between changes in teachers' self-efficacy beliefs and the science teaching environment of Danish first-year elementary teachers. Journal of Science Teacher Education, 15(1), 25-38.
- Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman
- Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Upper Saddle River, NJ: Prentice Hall.
- Bandura, A. (2006). Guide for constructing self-efficacy scales. In T. Urdan & F. Pajares (Eds.), Self-efficacy beliefs of adolescents (pp. 307-337). Charlotte, NC:
- Czerniak, C., & Schriver, M. (1994). An examination of preservice science teachers' beliefs and behaviors as related to self-efficacy. Journal of Science Teacher Education, 5, 77-86.
- Dunlap, J.C. (2005). Problem-based learning and self-efficacy: How a capstone course prepares students for a profession. Educational Technology Research and Development, 53(1), 65-85.
- Fogleman, J., McNeill, K., & Krajcik, J. (2011). Examining the effect of teachers’ adaptations of a middle school science inquiry-oriented curriculum unit on student learning. Journal of Research in Science Teaching, 48(2), 149-169.
- Glaser, B., & Strauss, A. (1967). Discovery of grounded theory. Chicago, IL: Aldine Publishing Co.
- Guskey, T.R. (1988). Teacher self-efficacy, self-concept, and attitudes toward the implementation of instructional innovation. Teaching and Teacher Education, 4 (1), 6369.
- Haney, J.J., Lumpe, A.T., Czerniak, C.M., & Egan, V. (2002). From beliefs to actions: The beliefs and actions of teachers implementing change. Journal of Science Teacher Education, 13(3), 171-187.
- Keys, C.W., & Bryan, L.A. (2000). Co-constructing inquiry-based science with teachers: Essential research for lasting reform. Journal of Research in Science Teaching, 38(6), 631645.
- Kim, C., Kim, D., Yuan, J., Hill, R.B., Doshi, P., & Thai, C.N. (2015). Robotics to promote elementary education preservice teachers' STEM engagement, learning, and teaching. Computers& Education, 91(15), 14-31.
- Merriam, S.B. (2009). Qualitative research: A guide to design and implementation. San Francisco, CA: Jossey-Bass.
- Mills, K.A., Chandra, V., & Park, J.Y. (2013). The architecture of children’s use of language and tools when problem solving collaboratively with robotics. The Australian Educational Researcher, 40(3), 315-337.
- Minshew, L., & Anderson, J. (2015). Teacher self-efficacy in 1:1 iPad integration in middle school science and math classrooms. Contemporary Issues in Technology and Teacher Education, 15(3). Retrieved from http://www.citejournal.org/vol15/iss3/science/article1. Cfm
- Mowbray, C.T., Holter, M.C., Teague, G.B., & Bybee, D. (2003). Fidelity criteria: Development, measurement, and validation. American Journal of Evaluation, 24(3), 315340.
- Park, J. (2015). Effect of robotics enhanced inquiry based learning in elementary science education in South Korea. Journal of Computers in Mathematics and Science Teaching, 34(1), 71-95.
- Patton, M.Q. (2002). Qualitative research and evaluation methods (3rd ed.). Thousand Oaks, CA: SAGE Publications.
- Penuel, W.R., & Fishman, B.J. (2012). Large-scale science education intervention research we can use. Journal of Research in Science Teaching, 49 (3). 281-304.
- Riggs, I.M., Enochs, L.G., & Posnanski, T.J. (1998). The teaching behaviors of high versus low efficacy elementary science teachers. Paper presented at the annual meeting of the National Association of Research in Science Teaching, San Diego, CA.
- Roberts, J.K., Henson, R.K., Tharp, B.Z., & Moreno, N. (2000, January). An examination of change in teacher self-efficacy beliefs in science education based on the duration of inservice activities. Paper presented at the annual meeting of the Southwest Educational Research Association, Dallas, TX.
- Rosen, J., Stillwell, F., & Usselman, M. (2012). Promoting diversity and public school success in robotics competitions. In B.S. Barker, (Ed.), Robots in K-12 education: A new technology for learning (pp. 326-342). Hershey, PA: IGI Global.
- Savery, J.R.(2006). Overview of problem-based learning: Deﬁnitions and distinctions. Interdisciplinary Journal of Problem-Based Learning, 1(1). Doi:10.7771/1541-5015.1002
- Smith III, J.P. (1996). Efficacy and teaching mathematics by telling: A challenge for reform. Journal for Research in Mathematics Education, 27(4). 387-402.
- 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, Boise State University, Boise, ID).
- Tobin, K., Tippins, D.J., Gallard, A.J., & Gabel, D.L. (1994). Handbook of research on science teaching and learning. New York, NY: Macmillan. Tufts Center for Engineering Education& Outreach. From http://www.legoengineering.com/about/tufts-ceeo/
- Usselman, M., & Ryan, M. (2015). SLIDER: Science learning integrating design, engineering, and robotics. In C. Sneider (Ed.), The go-to guide for engineering curricula, grades 6-8: Choosing and using the best instructional materials for your students (pp. 53-65). Thousand Oaks, CA: Corwin Press.
- Woolfolk Hoy, A., & Spero, R.B. (2005). Changes in teacher efficacy during the early years of teaching: A comparison of four measures. Teaching and Teacher Education, 21(4), 343356.
- Yin, R.K. (2003). Case study research design and methods (3rd ed). Thousand Oaks, CA: SAGE Publications. Author Notes
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