Rural Elementary Teachers’ Computational Thinking Self-Efficacy Through Community-Based Citizen Science

References

• Angeli, C., Voogt, J., Fluck, A., Webb, M., Cox, M., Malyn-Smith, J., & Zagami, J. (2016). A K-6 computational thinking curriculum framework: Implications for teacher knowledge. Journal of Educational Technology & Society, 19(3), 47–57. https://doi.org/10.2307/jeductechsoci.19.3.47
   Web of Science ®Google Scholar
• Archer, L., DeWitt, J., Osborne, J., Dillon, J., Willis, B., & Wong, B. (2010). “Doing” science versus “being” a scientist: Examining 10/11-year-old schoolchildren’s constructions of science through the lens of identity. Science Education, 94, 617–639. https://doi.org/10.1002/sce.20399
   Web of Science ®Google Scholar
• Autio, E., & Deussen, T. (2017). Recruiting rural schools for education research: Challenges and strategies. In G. Nugent, G. Kunz, S. Sheridan, T. Glover, & L. Knoche (Eds.), Rural education research in the United States (pp. 77–93). Springer.
   Google Scholar
• Avcı, C., & Deniz, M. N. (2022). Computational thinking: Early childhood teachers’ and prospective teachers’ preconceptions and self-efficacy. Education and Information Technologies, 27(8), 11689–11713. https://doi.org/10.1007/s10639-022-11078-5
   PubMed Web of Science ®Google Scholar
• Bandura, A. (1982). Self-efficacy mechanism in human agency. The American Psychologist, 37(2), 122. https://doi.org/10.1037/0003-066X.37.2.122
   Web of Science ®Google Scholar
• Bandura, A. (1997). Self-efficacy: The exercise of control. Freeman.
   Google Scholar
• Biddy, Q., Chakarov, A.G., Bush, J., Elliott, C.H., Jacobs, J., Recker, M., Sumner, T., & Penuel, W. (2021). A professional development model to integrate computational thinking into middle school science through codesigned storylines. Contemporary Issues in Technology and Teacher Education, 21(1), 53–96.
   Google Scholar
• Borgerding, L. A., & Dagistan, M. (2018). Preservice science teachers’ concerns and approaches for teaching socioscientific and controversial issues. Journal of Science Teacher Education, 29(4), 283–306. https://doi.org/10.1080/1046560X.2018.1440860
   Web of Science ®Google Scholar
• Boulden, D. C., Rachmatullah, A., Oliver, K. M., & Wiebe, E. (2021). Measuring in-service teacher self-efficacy for teaching computational thinking: Development and validation of the T-STEM CT. Education and Information Technologies, 26(4), 4663–4689. https://doi.org/10.1007/s10639-021-10487-2
   Web of Science ®Google Scholar
• Boulden, D.C., Wiebe, E., Akram, B., Aksit, O., Buffum, P.S., Mott, B., Boyer, K.E., & Lester, J. (2018). Computational thinking integration into middle grades science classrooms: Strategies for meeting the challenges. Middle Grades Review, 4(3), n3.
   Google Scholar
• Bower, M., Wood, L.N., Lai, J.W., Highfield, K., Veal, J., Howe, C., Lister, R., & Mason, R. (2017). Improving the computational thinking pedagogical capabilities of school teachers. Australian Journal of Teacher Education, 42(3), 53–72. https://doi.org/10.14221/ajte.2017v42n3.4
   Web of Science ®Google Scholar
• Brackmann, C. P., Román-González, M., Robles, G., Moreno-León, J., Casali, A., & Barone, D. (2017). Development of computational thinking skills through unplugged activities in primary school. In Proceedings of the 12th workshop on primary and secondary computing education, (pp. 65–72).
   Google Scholar
• Buffum, P. S., Martinez-Arocho, A. G., Frankosky, M. H., Rodriguez, F. J., Wiebe, E. N., & Boyer, K. E. (2014). CS principles goes to middle school: Learning how to teach “Big Data”. In Proceedings of the 45th ACM technical symposium on computer science education (pp. 151–156).
   Google Scholar
• Charmaz, K. (2017). The power of constructivist grounded theory for critical inquiry. Qualitative Inquiry, 23(1), 34–45. https://doi.org/10.1177/1077800416657105
   Web of Science ®Google Scholar
• Christensen, D. (2023). Computational thinking to learn environmental sustainability: A learning progression. Journal of Science Education and Technology, 32(1), 26–44. https://doi.org/10.1007/s10956-022-10004-1
   PubMed Web of Science ®Google Scholar
• Çiftçi, A., & Topçu, M. S. (2022). Improving early childhood pre-service teachers’ computational thinking teaching self-efficacy beliefs in a STEM course. Research in Science & Technological Education, 41(4), 1–27. https://doi.org/10.1080/02635143.2022.2036117
   Web of Science ®Google Scholar
• Cooper, C. B., Hawn, C. L., Larson, L. R., Parrish, J. K., Bowser, G., Cavalier, D., Dunn, R. R., Haklay, M., Gupta, K. K., Jelks, N. O., Johnson, V. A., Katti, M., Leggett, Z., Wilson, O. R., & Wilson, S. (2021). Inclusion in citizen science: The conundrum of rebranding. Science, 372(6549), 1386–1388. https://doi.org/10.1126/science.abi6487
   Web of Science ®Google Scholar
• Cornwall, A., & Jewkes, R. (1995). What is participatory research? Social Science & Medicine, 41(12), 1667–1676. https://doi.org/10.1016/0277-9536(95)00127-S
   PubMed Web of Science ®Google Scholar
• Crumb, L., Chambers, C., Azano, A., Hands, A., Cuthrell, K., & Avent, M. (2023). Rural cultural wealth: Dismantling deficit ideologies of rurality. Journal for Multicultural Education, 17(2), 125–138. https://doi.org/10.1108/JME-06-2022-0076
   Web of Science ®Google Scholar
• Del Olmo-Muñoz, J., Cózar-Gutiérrez, R., & González-Calero, J. A. (2020). Computational thinking through unplugged activities in early years of primary education. Computers & Education, 150, 103832. https://doi.org/10.1016/j.compedu.2020.103832
   Web of Science ®Google Scholar
• Delal, H., & Oner, D. (2020). Developing middle school students’ computational thinking skills using unplugged computing activities. Informatics in Education, 19(1), 1–13. https://doi.org/10.15388/infedu.2020.01
   Web of Science ®Google Scholar
• Dong, Y., Catete, V., Jocius, R., Lytle, N., Barnes, T., Albert, J., Joshi, D., Robinson, R., & Andrews, A. (2019). PRADA: A practical model for integrating computational thinking in K-12 education. In Proceedings of the 50th ACM technical symposium on computer science education (pp. 906–912).
   Google Scholar
• Glover, T.A., Nugent, G.C., Chumney, F.L., Ihlo, T., Shapiro, E.S., Guard, K., Koziol, N. & Bovaird, J. (2016). Investigating rural teachers’ professional development, instructional knowledge, and classroom practice. Journal of Research in Rural Education, 31(3), n3.
   Google Scholar
• Gray, S. A., Nicosia, K., & Jordan, R. C. (2012). Lessons learned from citizen science in the classroom. Democracy & Education, 20(1), Ar2.
   Google Scholar
• Haar, J. M. (2003). Providing professional development and team approaches to guidance. The Rural Educator, 25(1), 30.
   Google Scholar
• Howley, A., & Howley, C. B. (2005). High-quality teaching: Providing for rural teachers’ professional development. The Rural Educator, 26(2), 1–5. https://doi.org/10.35608/ruraled.v26i2.509
   Google Scholar
• International Society for Technology in Education. (2023). Computational thinking competencies. https://iste.org/standards/computational-thinking-competencies
   Google Scholar
• Kaya, F., Borgerding, L. A., & Ferdous, T. (2021). Secondary science teachers’ self-efficacy beliefs and implementation of inquiry. Journal of Science Teacher Education, 32(1), 107–121. https://doi.org/10.1080/1046560X.2020.1807095
   Web of Science ®Google Scholar
• Ketelhut, D. J., Mills, K., Hestness, E., Cabrera, L., Plane, J., & McGinnis, J. R. (2020). Teacher change following a professional development experience in integrating computational thinking into elementary science. Journal of Science Education and Technology, 29(1), 174–188. https://doi.org/10.1007/s10956-019-09798-4
   Web of Science ®Google Scholar
• Kılınç, A., Kartal, T., Eroğlu, B., Demiral, Ü., Afacan, Ö., Polat, D., Demirci Guler, M. P., & Görgülü, Ö. (2013). Preservice science teachers’ efficacy regarding a socioscientific issue: A belief system approach. Research in Science Education, 43(6), 2455–2475. https://doi.org/10.1007/s11165-013-9368-8
   Web of Science ®Google Scholar
• Levitt, H. M., Bamberg, M., Creswell, J. W., Frost, D. M., Josselson, R., & Suárez-Orozco, C. (2018). Journal article reporting standards for qualitative primary, qualitative meta-analytic, and mixed methods research in psychology: The APA publications and communications board task force report. The American Psychologist, 73(1), 26–46. https://doi.org/10.1037/amp0000151
   PubMed Web of Science ®Google Scholar
• Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage.
   Google Scholar
• Menon, D., & Sadler, T. D. (2016). Preservice elementary teachers’ science self-efficacy beliefs and science content knowledge. Journal of Science Teacher Education, 27(6), 649–673. https://doi.org/10.1007/s10972-016-9479-y
   Web of Science ®Google Scholar
• Menon, D., Wieselemann, J. R., Haines, S., & Asim, S. (2024). A meta-synthesis of the literature on science & engineering teaching self-efficacy: Current gaps and future research directions. Journal of Science Teacher Education. https://doi.org/10.1080/1046560X.2023.2297499
   Web of Science ®Google Scholar
• Merriam, S. B. (1988). Case study research in education: A qualitative approach. Jossey-Bass.
   Google Scholar
• Miles, M. B., Huberman, A. M., & Saldana, J. (2019). Qualitative data analysis: A methods sourcebook (4th ed.). Sage.
   Google Scholar
• Mintzes, J. J., Marcum, B., Messerschmidt-Yates, C., & Mark, A. (2013). Enhancing self-efficacy in elementary science teaching with professional learning communities. Journal of Science Teacher Education, 24(7), 1201–1218. https://doi.org/10.1007/s10972-012-9320-1
   Google Scholar
• O’Connor, C., & Joffe, H. (2020). Intercoder reliability in qualitative research: Debates and practical guidelines. International Journal of Qualitative Methods, 19, 160940691989922. https://doi.org/10.1177/1609406919899220
   Web of Science ®Google Scholar
• Phillips, T., Porticella, N., Constas, M., & Bonney, R. (2018). A framework for articulating and measuring individual learning outcomes from participation in citizen science. Citizen Science: Theory and Practice, 3(2), 3. https://doi.org/10.5334/cstp.126
   Google Scholar
• Rachmatullah, A., & Weibe, E. N. (2023). Changes and sources of changes in middle school teachers’ self-efficacy for teaching science in a computationally rich environment: A mixed-methods study. Journal of Science Teacher Education, 34(2), 132–156. https://doi.org/10.1080/1046560X.2022.2035990
   Web of Science ®Google Scholar
• Ragin, C. C. (1992). Introduction: Cases of ‘what is a case. In C. C. Ragin & H. S. Becker (Eds.), What is a case? Exploring the foundations of social inquiry (pp. 1–17). Cambridge University Press.
   Google Scholar
• Rich, P. J., Mason, S. L., & O’Leary, J. (2021). Measuring the effect of continuous professional development on elementary teachers’ self-efficacy to teach coding and computational thinking. Computers & Education, 168, 104196. https://doi.org/10.1016/j.compedu.2021.104196
   Web of Science ®Google Scholar
• Roche, J., Bell, L., Galvão, C., Golumbic, Y. N., Kloetzer, L., Knoben, N., Laakso, M., Lorke, J., Mannion, G., Massetti, L., Mauchline, A., Pata, K., Ruck, A., Taraba, P., & Winter, S. (2020). Citizen science, education, and learning: Challenges and opportunities. Frontiers in Sociology, 5. https://doi.org/10.3389/fsoc.2020.613814
   PubMedGoogle Scholar
• Saxena, A., & Chiu, M. M. (2023). Developing preschool teachers’ computational thinking knowledge, attitudes, beliefs, and teaching self-efficacies: A curriculum-based professional development program. Frontiers in Education, 7(889116), 1–15. https://doi.org/10.3389/feduc.2022.889116
   Google Scholar
• Settlage, J., Southerland, S. A., Smith, L. K., & Ceglie, R. (2009). Constructing a doubt‐free teaching self: Self-efficacy, teacher identity, and science instruction within diverse settings. Journal of Research in Science Teaching, 46(1), 102–125. https://doi.org/10.1002/tea.20268
   Web of Science ®Google Scholar
• Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142–158. https://doi.org/10.1016/j.edurev.2017.09.003
   Web of Science ®Google Scholar
• Skyhar, C. (2020). Thinking outside the box: Providing effective professional development for rural teachers. Theory and Practice in Rural Education, 10(1), 42–72. https://doi.org/10.3776/tpre.2020.v10n1p42-72
   Google Scholar
• Smolleck, L. D., Zembal-Saul, C., & Yoder, E. P. (2006). The development and validation of an instrument to measure preservice teachers’ self-efficacy in regard to the teaching of science as inquiry. Journal of Science Teacher Education, 17(2), 137–163. https://doi.org/10.1007/s10972-006-9015-6
   Google Scholar
• Stake, R. E. (2013). Multiple case study analysis. Guilford press.
   Google Scholar
• Statti, A., & Torres, K. (2020). The forgotten minority: Exploring deficiencies in access to education and technology in rural America. Peabody Journal of Education, 95(2), 173–182. https://doi.org/10.1080/0161956X.2020.1745608
   Google Scholar
• Thornton, B., Zunino, B., & Beattie, J. (2020). Moving the dial: Improving teacher efficacy to promote instructional change. Education, 140(4), 171–180.
   Google Scholar
• Trumbull, D. J., Bonney, R., & Grudens‐Schuck, N. (2005). Developing materials to promote inquiry: Lessons learned. Science Education, 89(6), 879–900. https://doi.org/10.1002/sce.20081
   Web of Science ®Google Scholar
• Tschannen-Moran, M., & Hoy, A. W. (2001). Teacher efficacy: Capturing an elusive construct. Teaching & Teacher Education, 17(7), 783–805. https://doi.org/10.1016/S0742-051X(01)00036-1
   Web of Science ®Google Scholar
• Tschannen-Moran, M., & Hoy, A. W. (2007). The differential antecedents of self-efficacy beliefs of novice and experienced teachers. Teaching & Teacher Education, 23(6), 944–956. https://doi.org/10.1016/j.tate.2006.05.003
   Web of Science ®Google Scholar
• van Manen, M. (2014). Phenomenology of practice: Meaning-giving methods in phenomenological research and writing. Routledge.
   Google Scholar
• Wargo, E., Chellman, D. C., Budge, K., & Davis, K. C. (2021). On the digital frontier: Stakeholders in rural areas take on educational technology and schooling. Journal of Research on Technology in Education, 53(2), 140–158. https://doi.org/10.1080/15391523.2020.1760753
   Web of Science ®Google Scholar
• Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/10.1145/1118178.1118215
   Web of Science ®Google Scholar
• Wolz, U., Stone, M., Pulimood, S. M., & Pearson, K. (2010). Computational thinking via interactive journalism in middle school. In Proceedings of the 41st ACM technical symposium on computer science education (pp. 239–243).
   Google Scholar
• Yadav, A., Hong, H., & Stephenson, C. (2016). Computational thinking for all: Pedagogical approaches to embedding 21st century problem solving in K-12 classrooms. Tech Trends, 60(6), 565–568. https://doi.org/10.1007/s11528-016-0087-7
   Google Scholar
• Yadav, A., Krist, C., Good, J., & Caeli, E. N. (2018). Computational thinking in elementary classrooms: Measuring teacher understanding of computational ideas for teaching science. Computer Science Education, 28(4), 371–400. https://doi.org/10.1080/08993408.2018.1560550
   Web of Science ®Google Scholar
• Yadav, A., Larimore, R., Rich, K., & Schwarz, C. (2019). Integrating computational thinking in elementary classrooms: Introducing a toolkit to support teachers. In Society for information technology & teacher education international conference (pp. 347–350). Association for the Advancement of Computing in Education (AACE).
   Google Scholar
• Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., & Korb, J. T. (2014). Computational thinking in elementary and secondary teacher education. ACM Transactions on Computing Education, 14(1), 1–16. https://doi.org/10.1145/2576872
   Web of Science ®Google Scholar