Digital media and data: using and designing technologies to support learning in practice

References

• Abbott, D. V. 2008. “A Functionality Framework for Educational Organizations: Achieving Accountability at Scale.” In Data Driven School Improvement: Linking Data and Learning, edited by E. Mandinach, and M. Honey, 257–276. New York: Teachers College Press.
   Google Scholar
• Agre, P. E. 1995. “Institutional Circuitry: Thinking about the Forms and Uses of Information.” Information Technology and Libraries 14 (4): 225–230.
   Web of Science ®Google Scholar
• Bertrand, M. 2015. “Using Data to Alter Instructional Practice: The Mediating Role of Coaches and Professional Learning Communities.” Teachers College Record 117 (4): 189–202.
   Google Scholar
• Black, P., C. Harrison, C. Lee, B. Marshall, and D. Wiliam. 2003. Assessment for Learning: Putting it into Practice. Berkshire: Open University Press.
   Google Scholar
• Black, P., and D. Wiliam. 1998a. “Assessment and Classroom Learning.” Assessment in Education: Principles, Policy, and Practice 5 (1): 7–74. doi: 10.1080/0969595980050102
   Google Scholar
• Black, P., and D. Wiliam. 1998b. “Inside the Black Box: Raising Standards through Classroom Assessment.” Phi Delta Kappan 80 (2): 139–148.
   Web of Science ®Google Scholar
• Bocala, C., and K. P. Boudett. 2015. “Teaching Educators Habits of Mind for Using Data Wisely.” Teachers College Record 117 (4): 1–20.
   Web of Science ®Google Scholar
• Choppin, J. (2002). “Data Use in Practice: Examples from the School Level.” Paper Presented at the Annual Meeting of the American Education Research Association, New Orleans, LA.
   Google Scholar
• City, E. A., R. F. Elmore, S. E. Fiarman, and L. Teitel. 2009. Instructional Rounds in Education. Cambridge, MA: Harvard Education Press.
   Google Scholar
• Cizek, G. J., R. E. Rachor, and S. F. Fitzgerald. 1996. “Teachers’ Assessment Practices: Preparation, Isolation, and the Kitchen Sink.” Educational Assessment 3 (2): 159–179. doi: 10.1207/s15326977ea0302_3
   Google Scholar
• Coburn, C., and E. Turner. 2011. “Research on Data Use: A Framework and Analysis.” Measurement: Interdisciplinary Research and Perspectives 9 (4): 173–206.
   Google Scholar
• Coburn, C. E., and E. O. Turner. 2012. “The Practice of Data Use: An Introduction.” American Journal of Education 118 (2): 99–111. doi: 10.1086/663272
   Web of Science ®Google Scholar
• Cohen, D., and H. Hill. 2000. “Instructional Policy and Classroom Performance: The Mathematics Reform in California.” Teachers College Record 102 (2): 294–343. doi: 10.1111/0161-4681.00057
   Web of Science ®Google Scholar
• Confrey, J., K. M. Makar, and S. Kazak. 2004. “Undertaking Data Analysis of Student Outcomes as Professional Development for Teachers.” International Reviews on Mathematics Education (ZDM) 36 (1): 32–40.
   Google Scholar
• Crabtree, A. 2004. “Design in the Absence of Practice: Breaching Experiments.” In Proceedings of the 5th conference on Designing interactive systems: processes, practices, methods, and techniques (pp. 59–68). ACM.
   Google Scholar
• Cromey, A. 2000. Using Student Assessment Data: What Can We Learn from Schools? Oak Brook: North Central Regional Educational Laboratory.
   Google Scholar
• Datnow, A., and L. Hubbard. 2015. “Teacher Capacity for and Beliefs about Data-Driven Decision Making: A Literature Review of International Research.” Journal of Educational Change 17 (1): 1–22.
   Google Scholar
• Earl, L. M., and S. Katz. 2006. Leading Schools in a Data-Rich World. Harnessing Data for School Improvement. Thousand Oaks: Corwin.
   Google Scholar
• Grossman, P., S. Wineburg, and S. Woolworth. 2001. “Toward a Theory of Teacher Community.” The Teachers College Record 103 (6): 942–1012. doi: 10.1111/0161-4681.00140
   Web of Science ®Google Scholar
• Gummer, E. S., and E. B. Mandinach. 2015. “Building a Conceptual Framework for Data Literacy.” Teachers College Record 117 (4): 1–22.
   Web of Science ®Google Scholar
• Halverson, R., R. B. Pritchett, and J. G. Watson. 2007. Formative feedback systems and the new instructional leadership. Madison: University of Wisconsin.
   Google Scholar
• Halverson, R., and R. B. Shapiro. 2012. Technologies for Education and Technologies for Learners: How Information Technologies Are (and Should Be) Changing Schools (WCER Working Paper No. 2012-6).
   Google Scholar
• Herman, P., and P. S. Wardrip. 2013. “Toward a Theory of Data-Informed Instructional Practice: How Might Data use Matter?” Paper Presentation at Annual Meeting of the American Educational Research Association, San Francisco, CA.
   Google Scholar
• Herman, P., P. S. Wardrip, A. Hall, and A. Cimino. 2012. “Teachers Harness the Power of Assessment: Collaborative use of Student Data Gauges Performance and Guides Instruction.” Journal of Staff Development 33 (4): 26–29.
   Google Scholar
• Horn, I. S., B. D. Kane, and J. Wilson. 2015. “Making Sense of Student Performance Data Use Logics and Mathematics Teachers’ Learning Opportunities.” American Educational Research Journal 52 (2): 208–242. doi: 10.3102/0002831215573773
   Web of Science ®Google Scholar
• Johnston, P., S. Guice, K. Baker, J. Malone, and N. Michelson. 1995. “Assessment of Teaching and Learning in ‘Literature-Based’ Classrooms.” Teaching and Teacher Education 11 (4): 359–371. doi: 10.1016/0742-051X(94)00039-9
   Web of Science ®Google Scholar
• Kruse, S. D., K. S. Louis, and A. S. Bryk. 1995. “An Emerging Framework for Analyzing School-Based Professional Community.” In Professionalism and Community: Perspectives on Reforming Urban Schools, edited by K. S. Louis, S. D. Kruse, and Associates, 23–44. Thousand Oaks, CA: Corwin Press.
   Google Scholar
• Lachat, M. A., and S. Smith. 2005. “Practices that Support Data use in Urban High Schools.” Journal of Education for Students Placed at Risk (JESPAR) 10 (3): 333–349. doi: 10.1207/s15327671espr1003_7
   Google Scholar
• Little, J. W. 2003. “Inside Teacher Community: Representations of Classroom Practice.” Teachers College Record 105 (6): 913–945. doi: 10.1111/1467-9620.00273
   Web of Science ®Google Scholar
• Mandinach, E. 2012. “A Perfect Time for Data Use: Using Data-Driven Decision Making to Inform Practice.” Educational Psychologist 47 (2): 71–85. doi: 10.1080/00461520.2012.667064
   Web of Science ®Google Scholar
• Mandinach, E. B., M. Honey, D. Light, and C. Brunner. 2008. “A Conceptual Framework for Data-Driven Decision Making.” In Data-Driven School Improvement: Linking Data and Learning, edited by E. B. Mandinach, and M. Honey, 13–31. New York: Teachers College Press.
   Google Scholar
• McLaughlin, M. W., and J.E. Talbert. 2001. Professional Communities and the Work of High School Teaching. Chicago: University of Chicago Press.
   Google Scholar
• McLaughlin, M. W., and J. E. Talbert. 2006. Building School-Based Teacher Learning Communities: Professional Strategies to Improve Student Achievement. New York: Teachers College Press.
   Google Scholar
• Moss, P. A. ed. 2007. Evidence and Decision Making. 106th Yearbook of the National Society for the Study of Education, Part I. Malden, MA: Blackwell.
   Google Scholar
• Phillips, D. C. 2007. “Adding Complexity: Philosophical Perspectives on the Relationship between Evidence and Policy.” In Evidence and Decision Making. 106th Yearbook of the National Society for the Study of Education, edited by P. A. Moss, 376–402. Malden, MA: Blackwell.
   Google Scholar
• Prabhu, M. T. 2009. “Forum Calls for Better Use of Data in Education.” eSchoolNews 12(4).
   Google Scholar
• Raths, J., S. A. Kotch, and C. C. Gorowara. 2008. “Research on Teachers Using Data to Make Decisions.” In Handbook of Data-Based Decision Making in Education, edited by T. J. Lasley, 207–221. New York: Taylor & Francis.
   Google Scholar
• Reeves, T. D., and S. L. Honig. 2015. “A Classroom Data Literacy Intervention for Pre-Service Teachers.” Teaching and Teacher Education 50: 90–101. doi: 10.1016/j.tate.2015.05.007
   Web of Science ®Google Scholar
• Schildkamp, K., M. Ehren, and M. K. Lai. 2012. “Editorial Article for the Special Issue on Data-Based Decision Making Around the World: From Policy to Practice to Results, School Effectiveness and School Improvement.” An International Journal of Research, Policy and Practice 23 (2): 123–131.
   Google Scholar
• Schildkamp, K., M. K. Lai, and L. Earl. eds. 2012. Data-Based Decision Making in Education: Challenges and Opportunities (Vol. 17). New York: Springer.
   Google Scholar
• Shapiro, R. B., and P. S. Wardrip. 2011. “Interactive Representations of Student Activity to Inform Teacher Collaborations: Results from a Formative Exploration.” In Proceedings of CSCL2011 9th International Computer-Supported Collaborative Learning Conference (pp. 494–501).
   Google Scholar
• Shapiro, R. B., and P. S. Wardrip. 2015. “Keeping it Real: Understanding Analytics in Classroom Practice.” Technology, Instruction, Cognition & Learning 10 (2): 127–149.
   Google Scholar
• Sherin, B., and J. Star. 2010. “Reflections on the Study of Teacher Noticing.” In Mathematics Teacher Noticing: Seeing Through Teachers’ Eyes, edited by M. Sherin, V. Jacobs, and R. Philipp, 66–78. New York: Routledge.
   Google Scholar
• Spillane, J. P. 2012. “Data in Practice: Conceptualizing the Data-Based Decisionmaking Phenomena.” American Journal of Education 118 (2): 113–141. doi: 10.1086/663283
   Web of Science ®Google Scholar
• Spillane, J., and D. Miele. 2007. “Evidence in Practice: A Framing of the Terrain.” In Evidence and Decision Making. 106th Yearbook of the National Society for the Study of Education, edited by P. A. Moss, 46–73. Malden, MA: Blackwell.
   Google Scholar
• Sun, J., R. Przybylski, and B. J. Johnson. 2016. “A Review of Research on Teachers’ use of Student Data: From the Perspective of School Leadership.” Educational Assessment, Evaluation and Accountability: 1–29.
   Google Scholar
• Supovitz, J. A., and V. Klein. 2003. Mapping a Course for Improved Student Learning: How Innovative Schools Systematically use Student Performance Data to Guide Improvement. Philadelphia, PA: Consortium for Policy Research in Education.
   Google Scholar
• U.S. Department of Education, Office of Planning, Evaluation and Policy Development. 2009. Implmenting Data-Informed Decision Making in Schools: Teacher Access, Supports and Use. Washington, DC: US Department of Education.
   Google Scholar
• Wardrip, P. S., K. Gomez, and L. M. Gomez. 2015. “We Modify Each Other’s Work: The Role of Literacy Work Circles in Developing Professional Community.” Teacher Development 19 (4): 445–460. doi: 10.1080/13664530.2015.1051186
   Web of Science ®Google Scholar
• Wayman, J. C. 2005. “Involving Teachers in Data-Based Decision-Making: Using Computer Data Systems to Support Teacher Inquiry and Reflection.” Journal of Education for Students Placed at Risk (JESPAR) 10 (3): 295–308. doi: 10.1207/s15327671espr1003_5
   Google Scholar
• Wayman, J. C., S. Midgley, and S. Stringfield. 2006. “Leadership for Data-Based Decision-Making: Collaborative Data Teams.” In New Models of Professional Development for Learner Centered Leadership, edited by A. Danzig, K. Borman, B. Jones, and B. Wright, 189–206. Mahwah, NJ: Erlbaum.
   Google Scholar
• Wayman, J. C., and S. Stringfield. 2003. Teacher-friendly options to improve teaching through student data analysis. Paper presented at the 10th annual meeting of the American Association for Teaching and Curriculum, Baltimore. Accessed November 7, 2015, from http://www.csos.jhu.edu/datause/papers/aatc_teacher-friendly_software.pdf
   Google Scholar
• Wayman, J. C., and S. Stringfield, 2006. Technology-supported involvement of entire faculties in examination of student data for instructional improvement. American Journal of Education 112 (August): 549–571. doi: 10.1086/505059
   Web of Science ®Google Scholar
• Wayman, J., S. Stringfield, and M. Yakimowski. 2004. Software Enabling School Improvement Through Analysis of Student Data. Center for Research on the Education of Students Placed At Risk. Baltimore, MD: CRESPAR/Johns Hopkins University.
   Google Scholar
• Young, V. M., and D. H. Kim. 2010. “Using Assessments for Instructional Improvement: A Literature Review.” Education Policy Analysis Archives 18 (19): 1–36.
   PubMedGoogle Scholar