Learning progressions as tools for assessment and learning

References

• Alonzo, A. C., & Steedle, J. T. (2009). Developing and assessing a force and motion learning progression. Science Education, 93(3), 389–421. doi:10.1002/sce.v93:3
   Web of Science ®Google Scholar
• Bennett, R. E. (2011). Formative assessment: A critical review. Assessment in Education: Principles, Policy, and Practices, 18(1), 5–25. doi:10.1080/0969594X.2010.513678
   Google Scholar
• Berland, L. K., & McNeill, K. L. (2010). A learning progression for scientific argumentation: Understanding student work and designing supportive instructional contexts. Science Education, 94(5), 765–793. doi:10.1002/sce.v94:5
   Web of Science ®Google Scholar
• Caplan, B., Gunckel, K. L., Warnock, A., & Cano, A. (2012). Investigating water pathways in schoolyards. Green Teacher, 98, 28–33.
   Google Scholar
• Catley, K., Lehrer, R., & Reiser, B. (2005). Tracing a prospective learning progression for developing understanding of evolution. Paper Commissioned by the National Academies Committee on Test Design for K-12 Science Achievement. Washington, DC: National Academies of Sciences.
   Google Scholar
• Clements, D. H., & Sarama, J. (2007). Effects of a preschool mathematics curriculum: Summative research on the building blocks project. Journal of Research in Mathematics Education, 38, 136–163.
   Web of Science ®Google Scholar
• Clements, D. H., & Sarama, J. (2008). Experimental evaluation of the effects of a research-based preschool mathematics curriculum. American Educational Research Journal, 45(2), 443–494. doi:10.3102/0002831207312908
   Web of Science ®Google Scholar
• Corcoran, T., Mosher, F. A., & Rogat, A. (2009). Learning progressions in science: An evidence-based approach to reform (CPRE Research Report #RR-63). Philadelphia, PA: Consortium for Policy Research in Education.
   Google Scholar
• Covitt, B., Gunckel, K. L., Syswerda, S., & Caplan, B. (2018). Teachers’ use of learning progression-based formative assessment in water instruction. Applied Measurement in Education.
   Web of Science ®Google Scholar
• Di Sessa, A. A., & Minstrell, J. (1998). Cultivating conceptual change with benchmark lessons. In J. G. Greeno & S. V. Goldman (Eds.), Thinking practices in mathematics and science learning (pp. 155–187). Mahwah, NJ: Lawrence Erlbaum.
   Google Scholar
• Duncan, R. G., Rogat, A. D., & Yarden, A. (2009). A learning progression for deepening students’ understandings of modern genetics across the 5th–10th grades. Journal of Research in Science Teaching, 46(6), 655–674. doi:10.1002/tea.v46:6
   Web of Science ®Google Scholar
• Furtak, E. M., Heredia, S. C., & Circi, R. K. (2018). Exploring alignment among learning progressions, teacher-designed formative assessment tasks, and student growth: Results of a four-year study. Applied Measurement in Education.
   Web of Science ®Google Scholar
• Glaser, R. (1963). Instructional technology and the measurement of learning outcomes. American Psychologist, 18, 519–521. doi:10.1037/h0049294
   Web of Science ®Google Scholar
• Gunckel, K. L., Covitt, B. A., Salinas, I., & Anderson, C. W. (2012). A learning progression for water in socio-ecological systems. Journal of Research in Science Teaching, 49(7), 843–868. doi:10.1002/tea.v49.7
   Web of Science ®Google Scholar
• Hammer, D. (1996). Misconceptions or p-prims: How many alternative perspectives of cognitive structure influence instructional perceptions and intentions? Journal of the Learning Sciences, 5(2), 97–127. doi:10.1207/s15327809jls0502_1
   Web of Science ®Google Scholar
• Kane, M. T. (2006). Validation. In R. L. Brennan (Ed.), Educational measurement (4th ed., pp. 17–64). Westport, CT: American Council on Education and Praeger Publishers.
   Google Scholar
• Kluger, A. N., & DeNisi, A. (1996). The effect of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin, 119, 254–284. doi:10.1037/0033-2909.119.2.254
   Web of Science ®Google Scholar
• Masters, G. N., Adams, R. A., & Wilson, M. (1990). Charting of student progress. In T. Husen & T. N. Postlethwaite (Eds.), International encyclopedia of education research and studies. Supplementary volume 2 (pp. 628–634). Oxford, England: Pergamon Press.
   Google Scholar
• Mohan, L., Chen, J., & Anderson, C. W. (2009). Developing a multi-year learning progression for carbon cycling in socio-ecological systems. Journal of Research in Science Teaching, 46(6), 675–698. doi:10.1002/tea.v46:6
   Web of Science ®Google Scholar
• National Research Council. (2001). Knowing what students know: The science and design of educational assessment. Committee on the foundations of assessment. In J. W. Pellegrino, N. Chudowsky, & R. Glaser (Eds.), Board on Testing and Assessment, Center for Education. Division of Behavioral and Social Sciences and Education. Washington, DC: National Academies Press.
   Google Scholar
• National Research Council. (2007). Taking science to school: Learning and teaching science in grades K–8. Committee on Science Learning, Kindergarten Through Eighth Grade. In R. A. Duschl, H. A. Schweingruber, & A. W. Shouse (Eds.), Board on Science Education, Center for Education, Division of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press.
   Google Scholar
• Neumann, K., Viering, T., Boone, W. J., & Fischer, H. E. (2013). Towards a learning progression of energy. Journal of Research in Science Teaching, 50(2), 162–188. doi:10.1002/tea.v50.2
   Web of Science ®Google Scholar
• Penuel, W. R., & Shepard, L. A. (2016). Assessment and teaching. In D. H. Gitomer, & C. A. Bell (Eds.), Handbook of research on teaching. Washington, DC: AERA.
   Google Scholar
• Plummer, J. D., & Krajcik, J. (2010). Building a learning progression for celestial motion: Elementary levels from an earth-based perspective. Journal of Research in Science Teaching, 47(7), 768–787. doi:10.1002/tea.20355
   Web of Science ®Google Scholar
• Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Copenhagen, Denmark: Danmarks Paedogogiske Institut. (Chicago: University of Chicago Press, 1980)
   Google Scholar
• Sadler, R. (1989). Formative assessment and the design of instructional assessments. Instructional Science, 18, 119–144. doi:10.1007/BF00117714
   Web of Science ®Google Scholar
• Schwarz, C. V., Reiser, B. J., Davis, E. A., Kenyon, L., Acher, A., Fortus, D., … Krajcik, J. (2009). Developing a learning progression for scientific modeling: Making scientific modeling accessible and meaningful for learners. Journal of Research in Science Teaching, 46(6), 632–654. doi:10.1002/tea.20311
   Web of Science ®Google Scholar
• Shavelson, R. J. (2008). Guest editor’s introduction. Applied Measurement in Education, 21, 293–394. doi:10.1080/08957340802347613
   Web of Science ®Google Scholar
• Shepard, L. A. (2016). Evaluating test validity: Reprise and progress. Assessment in Education: Principles, Policy & Practice, 23(2), 268–280. doi:10.1080/0969594X.2016.1141168
   Web of Science ®Google Scholar
• Shepard, L. A., Davidson, K. L., & Bowman, R. (2011). How middle school mathematics teachers use interim and benchmark assessment data. CSE Technical Report 807. Los Angeles, CA: National Center for Research on Evaluation, Standards, and Student Testing.
   Google Scholar
• Shepard, L. A., Penuel, W. R., & Davidson, K. L. (2017). Design principles for new systems of assessment. Phi Delta Kappan, 98(6), 47–52. doi:10.1177/0031721717696478
   Web of Science ®Google Scholar
• Smith, C. L., Wiser, M., Anderson, C. W., & Krajcik, J. (2006). Implications of research on children’s learning for standards and assessment: A proposed learning progression for matter and the atomic-molecular theory. Measurement: Interdisciplinary Research & Perspective, 14(1&2), 1–98.
   Google Scholar
• Songer, N. B., Kelcey, B., & Gotwals. (2009). How and when does complex reasoning occur? Empirically driven development of a learning progression focused on complex reasoning about biodiversity. Journal of Research in Science Teaching, 46(6), 610–631. doi:10.1002/tea.20313
   Web of Science ®Google Scholar
• von Aufschnaiter, C., & Alonzo, A. C. (2018). Foundations of formative assessment: Introducing a learning progression to guide pre-service physics teachers’ video-based interpretations of student thinking. Applied Measurement in Education.
   Google Scholar
• Wilson, M., Draney, K., & Kennedy, C. (2001). GradeMap [computer program]. Berkeley: BEAR Center, University of California.
   Google Scholar