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.
Krumm, A., Means, B., & Bienkowski, M. (2018). Learning Analytics Goes to School: A Collaborative Approach to Improving Education (1st ed.). Routledge. https://www.routledge.com/Learning-Analytics-Goes-to-School-A-Collaborative-Approach-to-Improving/Krumm-Means-Bienkowski/p/book/9781138121836
Bryk, A. S., Gomez, L. M., Grunow, A., & LeMahieu, P. G. (2015). Learning to Improve: How America’s Schools Can Get Better at Getting Better. Harvard Education Press. https://www.hepg.org/hep-home/books/learning-to-improve
Langley, G. J., Moen, R. D., Nolan, K. M., Nolan, T. W., Norman, C. L., & Provost, L. P. (2009). The Improvement Guide: A Practical Approach to Enhancing Organizational Performance. John Wiley & Sons.
Hannan, M., Russell, J. L., Takahashi, S., & Park, S. (2015). Using Improvement Science to Better Support Beginning Teachers: The Case of the Building a Teaching Effectiveness Network. Journal of Teacher Education, 66(5), 494–508. https://doi.org/10.1177/0022487115602126
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
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
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.
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
Nieman, H. J., Kochmanski, N. M., Jackson, K. J., Paul A. Cobb, & Henrick, E. C. (2020). Student Surveys Inform and Improve Classroom Discussion. Mathematics Teacher: Learning and Teaching PK-12, 113(12), e91–e99. https://doi.org/10.5951/MTLT.2019.0141
Gallagher, H. A., Arshan, N., & Woodworth, K. (2017). Impact of the National Writing Project’s College-Ready Writers Program in High-Need Rural Districts. Journal of Research on Educational Effectiveness, 10(3), 570–595. https://doi.org/10.1080/19345747.2017.1300361
Deming, W. E., & Study, M. I. of T. C. for A. E. (1982). Out of the Crisis: Quality, Productivity, and Competitive Position. Cambridge University Press.
Krumm, A. E., Beattie, R., Takahashi, S., D’Angelo, C., Feng, M., & Cheng, B. (2016). Practical Measurement and Productive Persistence: Strategies for Using Digital Learning System Data to Drive Improvement. Journal of Learning Analytics, 3(2), Article 2. https://doi.org/10.18608/jla.2016.32.6
Silva, E., & White, T. (2013). Pathways to Improvement: Using Psychological Strategies to Help College Students Master Developmental Math. In Carnegie Foundation for the Advancement of Teaching. Carnegie Foundation for the Advancement of Teaching. https://eric.ed.gov/?id=ED560149
Benneyan, J. C., Lloyd, R. C., & Plsek, P. E. (2003). Statistical Process Control as a Tool for Research and Healthcare Improvement. BMJ Quality & Safety, 12(6), 458–464. https://doi.org/10.1136/qhc.12.6.458
Provost, L. P., & Murray, S. K. (2011). The Health Care Data Guide: Learning from Data for Improvement (1st ed.). Jossey-Bass. https://www.wiley.com/en-us/The+Health+Care+Data+Guide%3A+Learning+from+Data+for+Improvement-p-9780470902585
Cobb, P., Jackson, K., & Ing, M. (2019). Developing Practical Measures to Inform Instructional Improvement Initiatives in Mathematics. Annual Meeting of the National Council on Measurement in Education, Toronto, ON. https://www.pmr2.org/_files/ugd/3d8a27_e1a0ba2304ad43efadd1619791f77937.pdf
Jackson, K., Henrick, E. C., Cobb, P., Kochmanski, N. M., & Nieman, H. J. (2016). Practical Measures to Improve the Quality of Small-Group and Whole-Class Discussions [White Paper]. University of Washington. https://docs.wixstatic.com/ugd/3d8a27_12eab6b346d54c72a6f2287e1001a094.pdf
Portela, M. C., Pronovost, P. J., Woodcock, T., Carter, P., & Dixon-Woods, M. (2015). How to Study Improvement Interventions: A Brief Overview of Possible Study Types. BMJ Quality & Safety, 24(5), 325–336. https://doi.org/10.1136/bmjqs-2014-003620
Feng, M., Krumm, A. E., Bowers, A. J., & Podkul, T. (2016). Elaborating Data Intensive Research Methods Through Researcher-Practitioner Partnerships. Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 540–541. https://doi.org/10.1145/2883851.2883908
Nelson, E. C., Splaine, M. E., Godfrey, M. M., Kahn, V., Hess, A., Batalden, P., & Plume, S. K. (2000). Using Data to Improve Medical Practice by Measuring Processes and Outcomes of Care. The Joint Commission Journal on Quality Improvement, 26(12), 667–685. https://doi.org/10.1016/S1070-3241(00)26057-4
Takahashi, S. (2014, August 21). Revisiting the Purposes of Practical Measurement for Improvement: Learning from the BTEN Measurement System. Carnegie Foundation for the Advancement of Teaching. https://www.carnegiefoundation.org/blog/revisiting-purposes-practical-measurement-improvement-learning-bten-measurement-system/
Fairchild, S., Gunton, B., Donohue, B., Berry, C., Genn, R., & Knevals, J. (2011). Student Progress to Graduation in New York City High Schools: Part I: Core Components. New Visions for Public Schools. https://files.eric.ed.gov/fulltext/ED521689.pdf
Fairchild, S., Scaramellino, D., Carrino, G. E., Carrano, J., Gunton, B., Donohue, B., Slobin, S., & Farrell, T. (2013). Navigating the Data Ecosystem: A Case Study of the Adoption of a School Data Management System in New York City. New Visions for Public Schools.
Ahn, J., Chinen, S., Cobb, P., Jackson, K., Kochmanski, N. M., & Nieman, H. J. (2019). Using Practical Measures to Support Secondary Mathematics Instruction. Carnegie Foundation Summit on Improvement in Education, San Francisco, CA. https://www.pmr2.org/_files/ugd/3d8a27_e94fe20911f3405a9cb52ea2f8e3fc5e.pdf
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
Marzolo, M., Collao, M. P., & Arbour, M. (2019). Un Buen Comienzo: Improving Language Development of Preschool Children from Rural Communities in Chile. Conference on Implementation Research and Practice for Early Childhood Development.
