Special Interest Groups (SIGs) provide a forum within AERA for the involvement of individuals drawn together by a common interest in a field of study, teaching, or research when the existing divisional structure may not directly facilitate such activity. The Association provides SIGs program time at the Annual Meeting, publicity, scheduling, staff support, viability, and the prestige of AERA affiliation.
We are pleased to offer five webinars intended to familiarize you with the concept of a Networked Improvement Community, and each of the four important components and elements of a successful NIC. An introductory 30-minute webinar will feature one or two experts from out team providing key background information about the focal challenges of building a NIC. A facilitated discussion forum will continue for two weeks after the video is posted to this site. At the end of the two weeks, another live webinar with the same expert will be featured. This follow-up webinar will focus on the topics that have arisen through the online forum, as well as questions that are asked live during the webinar.
Kochmanski, N. (2020). Aspects of High-Quality Mathematics Coaching: What Coaches Need to Know and Be Able to Do to Support Individual Teachers’ Learning [Thesis]. https://ir.vanderbilt.edu/handle/1803/16114
Allensworth, E. (2013). The Use of Ninth-Grade Early Warning Indicators to Improve Chicago Schools. Journal of Education for Students Placed at Risk (JESPAR), 18(1), 68–83. https://doi.org/10.1080/10824669.2013.745181
Austin, K., & Bolte, J. (2019). Improvement on the Front Lines: Using Learning Huddles to Shift Instruction. https://ies.ed.gov/ncee/edlabs/regions/west/Publications/Details/270
Bennett, B., & Provost, L. (2015). What’s Your Theory? Driver Diagram Serves as Tool for Building and Testing Theories for Improvement. Quality Progress, 48(7), 36–43.
Bowker, G. C., Baker, K., Millerand, F., & Ribes, D. (2010). Toward Information Infrastructure Studies: Ways of Knowing in a Networked Environment. In J. Hunsinger, L. Klastrup, & M. Allen (Eds.), International Handbook of Internet Research (pp. 97–117). Springer Netherlands. https://doi.org/10.1007/978-1-4020-9789-8_5
Coburn, C. E., Honig, M. I., & Stein, M. K. (2009). What’s the Evidence on Districts’ Use of Evidence? In J. D. Bransford, D. J. Stipek, N. J. Vye, L. M. Gomez, & D. Lam (Eds.), The Role of Research in Educational Improvement (pp. 67–86). Harvard Education Press.
Coburn, C. E., & Turner, E. O. (2011). Research on Data Use: A Framework and Analysis. Measurement: Interdisciplinary Research and Perspectives, 9(4), 173–206. https://doi.org/10.1080/15366367.2011.626729
Haertel, E. (2013). Expanding Views of Interpretation/Use Arguments. Measurement: Interdisciplinary Research and Perspectives, 11(1–2), 68–70. https://doi.org/10.1080/15366367.2013.790729
Hough, H. J., Willis, J., Grunow, A., Krausen, K., Kwon, S., Mulfinger, L. S., & Park, S. (2017). Continuous Improvement in Practice (Policy Analysis for California Education). https://edpolicyinca.org/publications/continuous-improvement-practice
Ing, M., Chinen, S., Jackson, K., & Smith, T. M. (2021). When Should I Use a Measure to Support Instructional Improvement at Scale? The Importance of Considering Both Intended and Actual Use in Validity Arguments. Educational Measurement: Issues and Practice, 40(1), 92–100. https://doi.org/10.1111/emip.12393
Jackson, K., Nieman, H. J., & Kochmanski, N. (2019). Making Sense of Teachers’ Varied Responses to Representations of Practice. National Council of Teachers of Mathematics Research Conference.
Kosovich, J. J., Hulleman, C. S., & Barron, K. E. (2019). Measuring Motivation in Educational Settings: A Case for Pragmatic Measurement. In K. A. Renninger & S. E. Hidi (Eds.), The Cambridge Handbook of Motivation and Learning (pp. 713–738). Cambridge University Press. https://doi.org/10.1017/9781316823279.030
Krumm, A., Penuel, W. R., Pazera, C., & Landel, C. (2020). Measuring Equitable Science Instruction at Scale. The Interdisciplinarity of the Learning Sciences, 4, 2461–2468. https://repository.isls.org//handle/1/6607
Moss, P. A. (2016). Shifting the Focus of Validity for Test Use. Assessment in Education: Principles, Policy & Practice, 23(2), 236–251. https://doi.org/10.1080/0969594X.2015.1072085
Murnane, R. J., Sharkey, N. S., & Boudett, K. P. (2005). Using Student-Assessment Results to Improve Instruction: Lessons From a Workshop. Journal of Education for Students Placed at Risk (JESPAR), 10(3), 269–280. https://doi.org/10.1207/s15327671espr1003_3
Leinwand, S., Brahier, D., & Huinker, D. (2014). Principles to Actions: Ensuring Mathematical Success for All. National Council of Teachers of Mathematics.
Penuel, W. R., Van Horne, K., Jacobs, J. J., & Turner, M. (2018). Developing a Validity Argument for Practical Measures of Student Experience in Project-Based Science Classrooms. American Educational Research Association Annual Meeting.
Penuel, W. R., & Watkins, D. A. (2019). Assessment to Promote Equity and Epistemic Justice: A Use-Case of a Research-Practice Partnership in Science Education. The ANNALS of the American Academy of Political and Social Science, 683(1), 201–216. https://doi.org/10.1177/0002716219843249
Solberg, L. I., Mosser, G., & McDonald, S. (1997). The Three Faces of Performance Measurement: Improvement, Accountability, and Research. The Joint Commission Journal on Quality Improvement, 23(3), 135–147. https://doi.org/10.1016/S1070-3241(16)30305-4
Spillane, J. P., & Miele, D. B. (2007). Evidence in Practice: A Framing of the Terrain. Teachers College Record, 109(13), 46–73. https://doi.org/10.1177/016146810710901303
