Teacher learning in technology professional development and its impact on student achievement in science

References

• Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. doi: 10.1037/0033-295X.84.2.191
   PubMed Web of Science ®Google Scholar
• Bandura, A. (1995). Self-efficacy in changing societies. Cambridge: Cambridge university press.
   Google Scholar
• Bell, R. L., Maeng, J. L., & Binns, I. C. (2013). Learning in context: Technology integration in a teacher preparation program informed by situated learning theory. Journal of Research in Science Teaching, 50(3), 348–379. doi: 10.1002/tea.21075
   Web of Science ®Google Scholar
• Belland, B. R. (2009). Using the theory of habitus to move beyond the study of barriers to technology integration. Computers & Education, 52(2), 353–364. doi: 10.1016/j.compedu.2008.09.004
   Web of Science ®Google Scholar
• Blanchard, M. R., LePrevost, C. E., Tolin, A. D., & Gutierrez, K. S. (2016). Investigating technology-enhanced teacher professional development in rural, high-poverty middle schools. Educational Researcher, 45(3), 207–220. doi: 10.3102/0013189X16644602
   Web of Science ®Google Scholar
• Borko, H. (2004). Professional development and teacher learning: Mapping the terrain. Educational Researcher, 33(8), 3–15. doi: 10.3102/0013189X033008003
   Google Scholar
• Brinkerhoff, J. (2006). Effects of a long-duration, professional development academy on technology skills, computer self-efficacy, and technology integration beliefs and practices. Journal of Research on Technology in Education, 39(1), 22–43. doi: 10.1080/15391523.2006.10782471
   Google Scholar
• Bryan, L. A., & Atwater, M. M. (2002). Teacher beliefs and cultural models: A challenge for science teacher preparation programs. Science Education, 86(6), 821–839. doi: 10.1002/sce.10043
   Web of Science ®Google Scholar
• Campbell, T., Abd-Hamid, N. H., & Chapman, H. (2010). Development of instruments to assess teacher and student perceptions of inquiry experiences in science classrooms. Journal of Science Teacher Education, 21(1), 13–30. doi: 10.1007/s10972-009-9151-x
   Google Scholar
• Campbell, T., Dowdle, G., Shelton, B. E., Olsen, J., Longhurst, M. L., & Beckett, H. (2013). Gaming as a platform for developing science practices. Science Activities: Classroom Projects and Curriculum Ideas, 50(3), 90–98.
   Google Scholar
• Campbell, T., Longhurst, M. L., Wang, S.-K., Hsu, H.-Y., & Coster, D. C. (2015). Technologies and reformed-based science instruction: The examination of a professional development model focused on supporting science teaching and learning with technologies. Journal of Science Education and Technology, 24(5), 562–579. doi: 10.1007/s10956-015-9548-6
   Web of Science ®Google Scholar
• Century, J., Rudnick, M., & Freeman, C. (2010). A framework for measuring fidelity of implementation: A foundation for shared language and accumulation of knowledge. American Journal of Evaluation, 31(2), 199–218. doi: 10.1177/1098214010366173
   Web of Science ®Google Scholar
• Chang, C., & Mao, S. (1999). Comparison of Taiwan science students’ outcomes with inquiry-group versus traditional instruction. The Journal of Educational Research, 92(6), 340–346. doi: 10.1080/00220679909597617
   Web of Science ®Google Scholar
• Chang, H. Y., Quintana, C., & Krajcik, J. S. (2010). The impact of designing and evaluating molecular animations on how well middle school students understand the particulate nature of matter. Science Education, 94(1), 73–94.
   Web of Science ®Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillside, NJ: Lawrence Erlbaum.
   Google Scholar
• Cole, M. (2009). Using Wiki technology to support student engagement: Lessons from the trenches. Computers & Education, 52(1), 141–146. doi: 10.1016/j.compedu.2008.07.003
   Web of Science ®Google Scholar
• Cuban, L., Kirkpatrick, H., & Peck, C. (2001). High access and low use of technologies in high school classrooms: Explaining an apparent paradox. American Educational Research Journal, 38(4), 813–834. doi: 10.3102/00028312038004813
   Web of Science ®Google Scholar
• Davis, E. A., & Krajcik, J. S. (2005). Designing educative curriculum materials to promote teacher learning. Educational Researcher, 34(3), 3–14. doi: 10.3102/0013189X034003003
   Google Scholar
• Duffy, A. M., Wolf, P. G., Barrow, J., Longhurst, M. L., & Campbell, T. (2013). Ecological investigations within an interactive plant community simulation. Science Scope, 36(8), 42–51.
   Google Scholar
• Eccles, J. (1983). Expectancies, values, and academic behaviors. In J. T. Spence (Ed.), Achievement and achievement motives: Psychological and sociological approaches (pp. 75–146). San Francisco, CA: W. H. Freeman.
   Google Scholar
• Ertepinar, H., & Geban, O. (1996). Effect of instruction supplied with the investigative-oriented laboratory approach on achievement in a science course. Educational Research, 38(3), 333–341. doi: 10.1080/0013188960380306
   Web of Science ®Google Scholar
• Ertmer, P. A. (1999). Addressing first-and second-order barriers to change: Strategies for technology integration. Educational Technology Research and Development, 47(4), 47–61. doi: 10.1007/BF02299597
   Web of Science ®Google Scholar
• 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. doi: 10.1007/BF02504683
   Web of Science ®Google Scholar
• Feather, N. T. (1982). Expectations and actions: Expectancy-value models in psychology. Hillsdale, NJ: Lawrence Erlbaum.
   Google Scholar
• Gerard, L. F., Varma, K., Corliss, S. B., & Linn, M. C. (2011). Professional development for technology-enhanced inquiry science. Review of Educational Research, 81(3), 408–448. doi: 10.3102/0034654311415121
   Web of Science ®Google Scholar
• Gulek, J. C., & Demirtas, H. (2005). Learning with technology: The impact of laptop use on student achievement. The Journal of Technology, Learning and Assessment, 3(2), 1–38.
   Google Scholar
• Guskey, T. R. (1986). Staff development and the process of teacher change. Educational Researcher, 15(5), 5–12. doi: 10.3102/0013189X015005005
   Google Scholar
• Guskey, T. R. (2009). Closing the knowledge gap on effective professional development. Educational Horizons, 87(4), 224–233.
   Google Scholar
• Guskey, T. R., & Sparks, D. (1991). What to consider when evaluating staff development. Educational Leadership, 49(3), 73–76.
   Web of Science ®Google Scholar
• Guskey, T. R., & Yoon, K. S. (2009). What works in professional development? Phi Delta Kappan, 90(7), 495–500. doi: 10.1177/003172170909000709
   Web of Science ®Google Scholar
• Hakkarainen, K. (2003). Progressive inquiry in a computer-supported biology class. Journal of Research in Science Teaching, 40(10), 1072–1088. doi: 10.1002/tea.10121
   Web of Science ®Google Scholar
• Hew, K. F., & Brush, T. (2007). Integrating technology into K-12 teaching and learning: Current knowledge gaps and recommendations for future research. Educational Technology Research and Development, 55(3), 223–252. doi: 10.1007/s11423-006-9022-5
   Web of Science ®Google Scholar
• Higgins, T. E., & Spitulnik, M. W. (2008). Supporting teachers’ use of technology in science instruction through professional development: A literature review. Journal of Science Education and Technology, 17(5), 511–521. doi: 10.1007/s10956-008-9118-2
   Web of Science ®Google Scholar
• Hooper, S., & Rieber, L. (1995). Teaching with technology. In A. C. Omstein (Ed.), Theory into practice (pp. 155–170). Boston, MA: Allyn and Bacon.
   Google Scholar
• Hsu, H. Y., Wang, S. K., & Runco, L. (2013). Middle school science teachers’ confidence and pedagogical practice of new literacies. Journal of science education and technology, 22(3), 314–324. doi: 10.1007/s10956-012-9395-7
   Web of Science ®Google Scholar
• Hughes, J. (2005). The role of teacher knowledge and learning experiences in forming technology-integrated pedagogy. Journal of technology and teacher education, 13(2), 277–302.
   Google Scholar
• Jacobson, M. J., Taylor, C. E., & Richards, D. (2016). Computational scientific inquiry with virtual worlds and agent-based models: New ways of doing science to learn science. Interactive Learning Environments, 24(8), 2080–2108. doi: 10.1080/10494820.2015.1079723
   Web of Science ®Google Scholar
• Kelly, P. (2006). What is teacher learning? A socio-cultural perspective. Oxford Review of Education, 32(4), 505–519. doi: 10.1080/03054980600884227
   Web of Science ®Google Scholar
• Kim, H. (2011). Inquiry-based science and technology enrichment program: Green earth enhanced with inquiry and technology. Journal of Science Education and Technology, 20(6), 803–814. doi: 10.1007/s10956-011-9334-z
   Web of Science ®Google Scholar
• Kulik, J. A. (1994). Meta-analytic studies of findings on computer-based instruction. In E. L. Baker & H. F. O’Neil, Jr. (Eds.), Technology assessment in education and training (pp. 9–34). Hillsdale, NJ: Lawrence Erlbaum.
   Google Scholar
• 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. doi: 10.3102/0034654307309921
   Web of Science ®Google Scholar
• Lee, H., Feldman, A., & Beatty, I. D. (2012). Factors that affect science and mathematics teachers’ initial implementation of technology-enhanced formative assessment using a classroom response system. Journal of Science Education and Technology, 21(5), 523–539. doi: 10.1007/s10956-011-9344-x
   Web of Science ®Google Scholar
• Lee, H., Linn, M. C., Varma, K., & Liu, O. L. (2010). How do technology-enhanced inquiry science units impact classroom learning? Journal of Research in Science Teaching, 47(1), 71–90. doi: 10.1002/tea.20304
   Web of Science ®Google Scholar
• Lei, J., & Zhao, Y. (2007). Technology uses and student achievement: A longitudinal study. Computers & Education, 49(2), 284–296. doi: 10.1016/j.compedu.2005.06.013
   Web of Science ®Google Scholar
• Li, Q., & Ma, X. (2010). A meta-analysis of the effects of computer technology on school students’ mathematics learning. Educational Psychology Review, 22(3), 215–243. doi: 10.1007/s10648-010-9125-8
   Web of Science ®Google Scholar
• Longhurst, M. L., Coster, D. C., Wolf, P. G., Duffy, A. M., Lee, H., & Campbell, T. (2016). Multi-year professional development grounded in educative curriculum focused on integrating technology with reformed science teaching principles. School Science and Mathematics, 116(8), 430–441. doi: 10.1111/ssm.12197
   Web of Science ®Google Scholar
• Markauskaite, L. (2007). Exploring the structure of trainee teachers’ ICT literacy: The main components of, and relationships between, general cognitive and technical capabilities. Educational Technology Research and Development, 55(6), 547–572. doi: 10.1007/s11423-007-9043-8
   Web of Science ®Google Scholar
• Mehlinger, H. D. (1997). The next step. Electronic School, (June), A22–A24.
   Google Scholar
• Merton, R. K. (1948). The self fulfilling prophecy. The Antioch Review, 8(2), 193–210. doi: 10.2307/4609267
   Google Scholar
• National Research Council. (1996). National science education standards. Washington, DC: National Academy Press.
   Google Scholar
• National Research Council. (2000). Inquiry and the national science education standards: A guide for teaching and learning. Washington, DC: National Academy Press.
   Google Scholar
• National Research Countil. (2012). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. Washington, DC: National Academy Press.
   Google Scholar
• Rienties, B., Brouwer, N., & Lygo-Baker, S. (2013). The effects of online professional development on higher education teachers’ beliefs and intentions towards learning facilitation and technology. Teaching and Teacher Education, 29, 122–131. doi: 10.1016/j.tate.2012.09.002
   Web of Science ®Google Scholar
• Riggs, I., & Enochs, L. (1990). Toward the development of an elementary teacher’s science teaching efficacy belief instrument. Science Education, 74(6), 625–637. doi: 10.1002/sce.3730740605
   Web of Science ®Google Scholar
• Roehrig, G. H., & Luft, J. A. (2004). Constraints experienced by beginning secondary science teachers in implementing scientific inquiry lessons. International Journal of Science Education, 26(1), 3–24. doi: 10.1080/0950069022000070261
   Web of Science ®Google Scholar
• Rogers, M. A., Abell, S. K., Lannin, J., Wang, C., Musikul, K., Barker, D., & Dingman, S. (2007). Effective professional development in science and mathematics education: Teachers’ and facilitators’ views. International Journal of Science and Mathematics Education, 5(3), 507–532. doi: 10.1007/s10763-006-9053-8
   Google Scholar
• Rosenthal, R. (1994). Interpersonal expectancy effects: A 30-year perspective. Current Directions in Psychological Science, 3(6), 176–179. doi: 10.1111/1467-8721.ep10770698
   Web of Science ®Google Scholar
• Rosenthal, R., & Jacobson, L. (1966). Teachers’ expectancies: Determinants of pupils’ IQ gains. Psychological reports, 19(1), 115–118. doi: 10.2466/pr0.1966.19.1.115
   PubMed Web of Science ®Google Scholar
• Sandholtz, J. H., Ringstaff, C., & Dwyer, D. (1997). Teaching with technology: Creating student-centered classrooms. New York, NY: Teachers College Press.
   Google Scholar
• Schacter, J. (1999). The impact of education technology on student achievement: What the most current research has to say. Santa Monica, CA: Milken Exchange on Educational Technology.
   Google Scholar
• Schrum, L. (1999). Technology professional development for teachers. Educational Technology Research and Development, 47(4), 83–90. doi: 10.1007/BF02299599
   Web of Science ®Google Scholar
• Schunk, D. H. (2000). Learning theories: An educational perspective (3rd ed.). Upper Saddle River, NJ: Merrill/Prentice Hall.
   Google Scholar
• Shymansky, J. A., Hedges, L. V., & Woodworth, G. (1990). A reassessment of the effects of inquiry-based science curricula of the 60’s on student performance. Journal of Research in Science Teaching, 27(2), 127–144. doi: 10.1002/tea.3660270205
   Web of Science ®Google Scholar
• Shymansky, J. A., Wang, T., Annetta, L. A., Yore, L. D., & Everett, S. A. (2012). How much professional development is needed to effect positive gains in K-6 student achievement on high stakes science tests? International Journal of Science and Mathematics Education, 10(1), 1–19. doi: 10.1007/s10763-010-9265-9
   Web of Science ®Google Scholar
• Slater, S. J., Slater, T. F., & Shaner, A. (2008). Impact of backwards faded scaffolding in an astronomy course for pre-service elementary teachers based on inquiry. Journal of Geoscience Education, 56(5), 408–416. doi: 10.5408/jge_nov2008_slater_408
   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. doi: 10.1007/s10972-006-9015-6
   Google Scholar
• Tauber, R. T. (1998). Good or bad, what teachers expect from students they generally get! ERIC Digest. Retreived from ERIC database: http://files.eric.ed.gov/fulltext/ED426985.pdf
   Google Scholar
• Van Driel, J. H., Beijaard, D., & Verloop, N. (2001). Professional development and reform in science education: The role of teachers’ practical knowledge. Journal of Research in Science Teaching, 38(2), 137–158. doi: 10.1002/1098-2736(200102)38:2<137::AID-TEA1001>3.0.CO;2-U
   Web of Science ®Google Scholar
• Van Duzor, A. (2011). Capitalizing on teacher expertise: Motivations for contemplating transfer from professional development to the classroom. Journal of Science Education and Technology, 20(4), 363–374. doi: 10.1007/s10956-010-9258-z
   Web of Science ®Google Scholar
• Windschitl, M., & Sahl, K. (2002). Tracing teachers’ use of technology in a laptop computer school: The interplay of teacher beliefs, social dynamics, and institutional culture. American Educational Research Journal, 39(1), 165–205. doi: 10.3102/00028312039001165
   Web of Science ®Google Scholar
• Zhao, Y., & Cziko, G. A. (2001). Teacher adoption of technology: A perceptual control theory perspective. Journal of Technology and Teacher Education, 9(1), 5–30.
   Google Scholar
• Zhao, Y., & Frank, K. A. (2003). Factors affecting technology uses in schools: An ecological perspective. American Educational Research Journal, 40(4), 807–840. doi: 10.3102/00028312040004807
   Web of Science ®Google Scholar