Supporting Data-Informed Practice Among Early Career Teachers: The Role of Mentors

REFERENCES

• Anderson, S., Leithwood, K., & Strauss, T. (2010). Leading data use in schools: Organizational conditions and practices at the school and district levels. Leadership and Policy in Schools, 9(3), 292–327. doi:10.1080/15700761003731492/
   Google Scholar
• Andrews, B. D., & Quinn, R. J. (2005). The effects of mentoring on first-year teachers’ perceptions of support received. The Clearing House, 78(3), 110–117.
   Google Scholar
• Argyris, C., & Schön, D. A. (1996). Organizational learning II: Theory, method, and practice. New York, NY: Addison-Wesley.
   Google Scholar
• Barrera, A., Braley, R. T., & Slate, J. R. (2010). Beginning teacher success: An investigation into the feedback from mentors of formal mentoring programs. Mentoring & Tutoring: Partnership in Learning, 18(1), 61–74.
   Google Scholar
• Booher-Jennings, J. (2005). Below the bubble: “Educational triage” and the Texas accountability system. American Educational Research Journal, 42(2), 231–268.
   Web of Science ®Google Scholar
• Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18(1), 32–42.
   Google Scholar
• Bullough, R. V., Jr. (2012). Mentoring and new teacher induction in the United States: A review and analysis of current practices. Mentoring & Tutoring: Partnership in Learning, 20(1), 57–74.
   Google Scholar
• Carver, C. L., & Feiman-Nemser, S. (2009). Using policy to improve teacher induction: Critical elements and missing pieces. Educational Policy, 23(2), 295–328.
   Web of Science ®Google Scholar
• Carver, C. L., & Katz, D. S. (2004). Teaching at the boundary of acceptable practice: What is a new teacher to do? Journal of Teacher Education, 55, 449–462.
   Web of Science ®Google Scholar
• Cho, V., & Wayman, J. C. (2014). Districts’ efforts for data use and computer data systems: The role of sensemaking in system use and implementation. Teachers College Record, 116(2), 1–45.
   Web of Science ®Google Scholar
• Collie, R. J., Shapka, J. D. & Perry, N. E. (2012). School climate and social-emotional learning: Predicting teacher stress, job satisfaction, and teaching efficacy. Journal of Educational Psychology 104(4), 1189–1204.
   Web of Science ®Google Scholar
• Cook, J. (2012). Examining the mentoring experience of teachers. International Journal of Educational Leadership Preparation, 7(1), 1–10.
   Google Scholar
• Cosner, S. (2012). Leading the ongoing development of collaborative data practices: Advancing a schema for diagnosis and intervention. Leadership and Policy in Schools 11(1), 26–65.
   Google Scholar
• Daly, A. (2009). Rigid response in an age of accountability: The potential of leadership and trust. Educational Administration Quarterly, 45(2), 168–216.
   Web of Science ®Google Scholar
• Desimone, L. M. (2011). A primer on effective professional development. Phi Delta Kappan, 92(6), 68–71.
   Web of Science ®Google Scholar
• Duncan, A. (2010, November 16). Secretary Arne Duncan’s remarks to National Council for Accreditation of Teacher Education. Retrieved from http://www.ed.gov/news/speeches/secretary-arne-duncans-remarks-national-council-accreditation-teacher-education
   Google Scholar
• Earl, L., & Hannay, L. (2011). Educators as knowledge leaders. In J. Robertson & H. Timperley (Eds.), Leadership and learning (pp. 186–201). Thousand Oaks, CA: Sage.
   Google Scholar
• Farley-Ripple, E. N., & Buttram, J. L. (2014). Developing collaborative data use through professional learning communities: Early lessons from Delaware. Studies in Educational Evaluation, 42, 41–53.
   Web of Science ®Google Scholar
• Feiman-Nemser, S. (1998). Teachers as teacher educators. European Journal of Teacher Education, 21(1), 63–74.
   Google Scholar
• Glazerman, S., Dolfin, S., Bleeker, M., Johnson, A., Isenberg, E., Lugo-Gil, J., … Ali, M. (2008). Impacts of comprehensive induction: Results from the first year of randomized controlled study. Washington, DC: Institute of Education Sciences.
   Google Scholar
• Goldrick, L., Osta, D., Barlin, D., & Burn, J. (2012). Review of state policies on teacher induction. Santa Cruz, CA: New Teacher Center.
   Google Scholar
• Greeno, J. G., Collins, A. M., & Resnick, L. B. (1996). Cognition and learning. In D. Berliner & R. Calfee (Eds.), Handbook of educational psychology (pp. 15–41). New York, NY: MacMillan.
   Google Scholar
• Grossman, P., & Thompson, C. (2004). District policy and beginning teachers: A lens on teacher learning. Educational Evaluation and Policy Analysis, 26(4), 281–301.
   Web of Science ®Google Scholar
• Groves, R. M., Fowler, F. J, Jr., Couper, M. P., Lepkowski, J. M., Singer, E., & Tourangeau, R. (2009). Survey methodology (2nd ed.). Hoboken, NJ: John Wiley & Sons.
   Google Scholar
• Guskey, T. R. (2000). Evaluating professional development. Thousand Oaks, CA: Corwin.
   Google Scholar
• Hallman, P. R., Nien F., Hite, J., & Hite, S. (2012). Two contrasting models for mentoring as they affect retention of beginning teachers. NASSP Bulletin, 96, 243–278.
   Google Scholar
• Hamilton, L., Halverson, R., Jackson, S., Mandinach, E., Supovitz, J., & Wayman, J. (2009). Using student achievement data to support instructional decision making (NCEE 2009-4067). Washington, DC: U.S. Department of Education.
   Google Scholar
• Hudson, P. (2012). How can schools support beginning teachers? A call for timely induction and mentoring for effective teaching, Australian Journal of Teacher Education, 37(7), 71–84.
   Google Scholar
• Ikemoto, G. S., & Marsh, J. A. (2007). Cutting through the “data-driven” mantra: Different conceptions of data-driven decision making. In P. A. Moss (Ed.), Evidence and decision making (pp. 74–104). Malden, MA: Blackwell.
   Google Scholar
• Ingersoll, R. M. (2012). Beginning teacher induction: What the data tells us. Phi Delta Kappan, 93(8), 47–51.
   Web of Science ®Google Scholar
• Ingersoll, R. M., & Strong, M. (2011). The impact of induction and mentoring programs for beginning teachers: A critical review of the research. Review of Educational Research, 81(2), 201–233.
   Web of Science ®Google Scholar
• Isenberg, E., Glazerman, S., Bleeker, M., Johnson, A., Lugo-Gil, J., Grider, M., & Dolfin, S. (2009). Impacts of comprehensive teacher induction: Results from the second year of a randomized controlled study. Washington, DC: Institute of Education Sciences.
   Google Scholar
• Jacobson, A., O’Neill, K., Fry, B., Hill, D. & Bottoms, G. (2002). Are SREB states making progress? Tapping, preparing, and licensing school leaders who can influence student achievement. Atlanta, GA: Southern Regional Education Board.
   Google Scholar
• Jimerson, J. B., & McGhee, M. (2013). Leading inquiry in schools: Examining mental models of data-informed practice. Current Issues in Education 16(1), 1–20. Retrieved from http://cie.asu.edu/ojs/index.php/cieatasu/article/view/1163
   Google Scholar
• Jimerson, J. B., & Wayman, J. C. (2011, November). Data-related professional learning in three districts: What teachers need vs. what teachers get. Paper presented at the Annual Meeting of the University Council for Educational Administration, Pittsburgh, PA.
   Google Scholar
• Katz, S., & Dack, L. A. (2014). Towards a culture of inquiry for data use in schools: Breaking down professional learning barriers through intentional interruption. Studies in Educational Evaluation, 42, 35–40.
   Web of Science ®Google Scholar
• Kent, A. M., Green, A. M., & Feldman, P. (2010, May). Fostering the success of new teachers: The Alabama teacher mentor program. Paper presented at the annual meeting of the American Educational Research Association, Denver, CO.
   Google Scholar
• Kerr, K. I., Marsh, J. A., Ikemoto, G. S., Darilek, H., & Barney, H. (2006). Strategies to promote data use for instructional improvement: Actions, outcomes, and lessons from three urban districts. American Journal of Education, 112(4), 496–520.
   Web of Science ®Google Scholar
• Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. New York, NY: Cambridge University Press.
   Google Scholar
• Levitt, B., & March, J. G. (1988). Organizational learning. Annual Review of Sociology, 14, 319–340.
   Web of Science ®Google Scholar
• Little, J. W. (1990). The mentor phenomenon and the social organization of teaching. Review of Research in Education, 16, 297–351.
   Web of Science ®Google Scholar
• Long, J. (2012). Literature review on induction and mentoring related to early career teacher attrition and retention. Mentoring and Tutoring: Partnership in Learning, 20(1), 7–26.
   Google Scholar
• Louis, K. S., Leithwood, K., Wahlstrom, K. L., Anderson, S. E., Michlin, M., Mascall, B., … Moore, S. (2010). Learning from leadership: Investigating the links to improved student learning (Final report of research findings). New York, NY: The Wallace Foundation.
   Google Scholar
• Mandinach, E. B. (2012). A perfect time for data use: Using data-driven decision making to inform practice. Educational Psychologist, 47(2), 71–85.
   Web of Science ®Google Scholar
• Mandinach, E. B., & Gummer, E. S. (2013). A systemic view of implementing data literacy in educator preparation. Educational Researcher, 42(1), 30–37.
   Web of Science ®Google Scholar
• Mandinach, E. B., & Jackson, S. S. (2012). Transforming teaching and learning through data-driven decision making. Thousand Oaks, CA: Sage.
   Google Scholar
• Marsh, J. A. (2012). Interventions promoting educators’ use of data: Research insights and gaps. Teachers College Record, 114, 1–48.
   PubMed Web of Science ®Google Scholar
• Marsh, J. A., McCombs, J. S., & Martorell, F. (2010). How instructional coaches support data-driven decision making. Educational Policy, 24(6), 872–907.
   Web of Science ®Google Scholar
• Means, B., Chen, E., DeBarger, A., & Padilla, C. (2011). Teachers’ ability to use data to inform instruction. Washington, DC: U.S. Department of Education Office of Planning, Evaluation, and Policy Development.
   Google Scholar
• Merriam, S. B. (2009). Qualitative research: A guide to design and implementation. San Francisco, CA: Jossey-Bass.
   Google Scholar
• Myung, J., Loeb, S., & Horng, E. (2011). Tapping the principal pipeline: Identifying talent for future school leadership in the absence of formal succession management programs. Educational Administration Quarterly 47(5), 695–727.
   Web of Science ®Google Scholar
• Nichols, B. W., & Singer, K. P. (2000). Developing data mentors. Educational Leadership 57(5), 34–37.
   Web of Science ®Google Scholar
• Oláh, L. N., Lawrence, N. R., & Riggan, M. (2010). Learning to learn from benchmark assessment data: How teachers analyze results. Peabody Journal of Education, 85, 226–245.
   Google Scholar
• Olebe, M. (2001). A decade of policy support for California’s new teachers: The beginning teacher support and assessment program. Teacher Education Quarterly, 28(1), 71–84.
   Google Scholar
• Paciotti, K. D. (2013). Cognitivism: Ways of knowing. In B. J. Irby, G. Brown, R. Lara-Alecio, & S. Jackson (Eds.), The handbook of educational theories (pp. 105–113). Charlotte, NC: Information Age Publishing.
   Google Scholar
• Park, V., & Datnow, A. (2009). Co-constructing distributed leadership: District and school connections in data-driven decision-making. School Leadership and Management, 29(5), 477–494.
   Google Scholar
• Pounder, D., & Crow, G. (2005). Sustaining the pipeline of school administrators. Educational Leadership, 62(8), 56–60.
   Web of Science ®Google Scholar
• Quint, J., Sepanik, S., & Smith, J. (2008). Using student data to improve teaching and learning: Findings from an evaluation of the Formative Assessments of Student Thinking in Reading (FAST-R) program in Boston elementary schools. New York, NY: MDRC.
   Google Scholar
• Rajuan, M., Tuchin, I., & Zuckermann, T. (2011). Mentoring the mentors: First-order descriptions of experience-in-context. The New Educator, 7(2), 172–190.
   Google Scholar
• Schildkamp, K., & Kuiper, W. (2010). Data-informed curriculum reform: Which data, what purposes, and promoting and hindering factors. Teaching and Teacher Education, 26, 482–496.
   Web of Science ®Google Scholar
• Schildkamp, K., & Teddlie, C. (2008). School performance feedback systems in the USA and in The Netherlands: A comparison. Educational Research and Evaluation, 14(3), 255–282.
   Google Scholar
• Smith, T. M. (2007). How do state-level induction and standards-based reform policies affect the induction experience ad turnover among new teachers? American Journal of Education, 113, 273–309.
   Web of Science ®Google Scholar
• Smith, T. M., & Ingersoll, R. M. (2004). What are the effects of induction and mentoring on beginning teacher turnover? American Educational Research Journal, 41, 681–714.
   Web of Science ®Google Scholar
• Supovitz, J. (2010). Knowledge-based organizational learning for instructional improvement. In A. Hargreaves, A. Lieberman, M. Fullan, & D. Hopkins (Eds.), Second international handbook of educational change (pp. 707–723). New York, NY: Springer.
   Google Scholar
• Tillman, L. C. (2005). Mentoring new teachers: Implications for leadership practice in an urban school. Educational Administration Quarterly, 41, 609–629.
   Web of Science ®Google Scholar
• Valli, L., & Buese, D. (2007). The changing roles of teachers in an era of high-stakes accountability. American Educational Research Journal 44(3), 519–558.
   Web of Science ®Google Scholar
• Wang, J., & Odell, S. J. (2002). Mentored learning to teach according to standards-based reform: A critical review. Review of Educational Research, 72(3), 481–546.
   Web of Science ®Google Scholar
• Wang, J., Odell, S. J., & Schwille, S. A. (2008). Effects of teacher induction on beginning teachers’ teaching: A critical review of the literature. Journal of Teacher Education, 59(2), 132–152.
   Web of Science ®Google Scholar
• Washburn-Moses, L. (2010) Rethinking mentoring: Comparing policy and practice in special and general education. Educational Policy Analysis Archives, 18(32), 1–22.
   PubMedGoogle Scholar
• Wayman, J. C., Jimerson, J. B., & Cho, V. (2012) Organizational considerations in establishing the data-informed district. School Effectiveness and School Improvement 23(2), 159–178.
   Web of Science ®Google Scholar
• Wayman, J. C., Spring, S. D., & Lemke, M. A., Lehr, M. D. (2012, April). Using data to inform practice: Effective principal leadership strategies. Paper presented at the Annual Meeting of the American Educational Research Association, Vancouver, Canada.
   Google Scholar
• Yusko, B., & Feiman-Nemser, S. (2008). Embracing contraries: Combining assistance and assessment in new teacher induction. Teachers College Record, 110(5), 923–953.
   Web of Science ®Google Scholar