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Evidence of Foundational Knowledge and Conjectural Pathways in Science Learning Progressions

A Review of Research

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Abstract

Learning progressions (LPs) are descriptions of successively more sophisticated ways of thinking about an idea over an extended period of time. The growing interest of researchers in learning progressions is grounded in the potential it holds to align curriculum, instruction, and assessment. Previous review of research on LPs by Duschl et al. (Studies in Science Education, 47(2), 123–182, 2011) established criteria that depicts foundational knowledge and instructional pathways researchers can used to propose and empirically validate/refine LPs. Building on this, our review utilized these criteria to examine recent LPs research for: (1) evidence of foundational knowledge and conjectural pathways that can facilitate and advance learners’ reasoning and understanding of core ideas and (2) detailed or thoroughly mediated learning pathways. Articles were drawn from science education journals through five educational databases. Findings revealed competing attention for both evolutionary and validation LPs. However, there is a slow but growing convergence of thoughts on frameworks for establishing LPs. In the light of key criteria that define a complete LP, directions for validating or establishing LPs were suggested.

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References

References marked with an asterisk indicate studies included in the review.

  • *Adadan, E., & Oner, D. (2014). Exploring the progression in preservice chemistry teachers’ pedagogical content knowledge representations: The case of “behavior of gases.” Research in Science Education, 44, 829–858.

  • Alonzo, A. C., & Steedle, J. T. (2009). Developing and assessing a force and motion learning progression. Science Education, 93(3), 389–421.

    Google Scholar 

  • Anderson, L. W., & Krathwohl, D. R. (2001). A taxonomy for learning, teaching and assessing: A revision of Bloom’s taxonomy of educational objectives. Longman.

    Google Scholar 

  • Anderson, C. W., & Cobb, P. (2012). Learning progressions footprint conference final report. Washington, DC.

  • Appleton, K. (2008). Developing science pedagogical content knowledge through mentoring elementary teachers. Journal of Science Teacher Education, 19, 523–545.

    Google Scholar 

  • *Bamberger, Y. M., & Davis, E. A. (2013). Middle-school science students’ scientific modeling performances across content areas and within a learning progression. International Journal of Science Education, 35, 213–238.

  • Berland, L. K., & McNeill, K. L. (2010). A learning progression for scientific argumentation: Understanding student work and designing supportive instructional contexts. Science Education, 94, 765–793.

    Google Scholar 

  • Black, P., Wilson, M., & Yao, S.-Y. (2011). Road maps for learning: A guide to the navigation of learning progressions. Measurement, 9, 71–123.

    Google Scholar 

  • Briggs, D. C., & Alonzo, A. C. (2009). The psychometric modelling of ordered multiple-choice item responses for diagnostic assessment with a learning progression. Paper presented at the Learning Progressions in Science (LeaPS) Conference, Iowa City, IA.

  • Chiu, M. H., & Wu, W. L. (2013). A novel approach for investigating students’ learning progression for the concept of phase transitions. Educación Química, 24(4), 373–380.

    Google Scholar 

  • Cobb, P., Confrey, J., diSessa, A., Lehrer, R., & Schauble, L. (2003). Design experiment in educational research. Educational Researcher, 32, 9–13.

    Google Scholar 

  • Corcoran, T., Mosher, F.A., & Rogat, A. (2009). Learning progressions in science: An evidence-based approach to reform. Consortium for Policy Research in Education Report #RR-63. Consortium for Policy Research in Education.

  • *Covitt, B. A., Gunckel, K. L., Caplan, B., & Syswerda, S. (2018). Teachers’ use of learning progression-based formative assessment in water instruction. Applied Measurement in Education, 31(2), 128–142.

  • Driver, R., Leach, J., Scott, P., & Wood-Robinson, C. (1994). Young people’s understanding of science concepts: Implications of cross-age studies for curriculum planning. Studies in Science Education, 24, 75–100.

    Google Scholar 

  • Duit, R., & Treagust, D. (2003). Conceptual change: A powerful framework for improving science teaching and learning. International Journal of Science Education, 25(6), 671–688.

    Google Scholar 

  • Duncan, R. G., & Hmelo-Silver, C. E. (2009). Learning progressions: Aligning curriculum, instruction, and assessment. Journal of Research in Science Teaching, 46, 606–609.

    Google Scholar 

  • Duncan, R. G., & Rivet, A. E. (2013). Science learning progressions. Science, 339, 396–397.

    Google Scholar 

  • Duncan, R. G., Rogat, A. D., & Yarden, A. (2009a). A learning progression for deepening students’ understandings of modern genetics across the 5th–10th grades. Journal of Research in Science Teaching, 46, 655–674.

    Google Scholar 

  • Duncan, R. G., Rogat, A., & Yarden, A. (2009b). A learning progression for deepening students’ understanding of modern genetics across the 5th–12th grades. Journal of Research in Science Teaching, 46(6), 655–674.

    Google Scholar 

  • *Duncan, R. G., Castro-Faix, M., & Choi, J. (2014). Informing a learning progression in genetics: Which should be taught first, Mendelian inheritance or the central dogma of molecular biology? International Journal of Science and Mathematics Education, 10(10), 1–28.

  • Duschl, R., Maeng, S., & Sezen, A. (2011). Learning progressions and teaching sequences: A review and analysis. Studies in Science Education, 47(2), 123–182.

    Google Scholar 

  • Erduran, S., & Jiménez-Aleixandre, M. P. (Eds.). (2008). Argumentation in science education: Perspectives from classroom-based research. Springer.

    Google Scholar 

  • Ford, M. J. (2015). Learning progressions and progress: An introduction to our focus on learning progressions. Science Education, 99(3), 407–409.

    Google Scholar 

  • *Fortus, D., Shwartz, Y., & Rosenfeld, S. (2015). High school students’ meta-modeling knowledge. Research in Science Education. https://doi.org/10.1007/s11165-015-9480-z

  • Furtak, E. M. (2009). Toward learning progressions as teacher development tools. Paper presented at the Learning Progressions in Science (LeaPS) Conference, Iowa City, IA.

  • *Furtak, E. M. (2012). Linking a learning progression for natural selection to teachers’ enactment of formative assessment. Journal of Research in Science Teaching, 49(9), 1181–1210.

  • *Furtak, E. M., & Heredia, S. C. (2014). Exploring the influence of learning progressions in two teacher communities. Journal of Research in Science Teaching, 51, 982–1020.

  • Furtak, E. M., Morrison, D., & Henson, K. (2010). Centering a professional learning community on a learning progression for natural selection: Transforming community, language, and instructional practice. Paper presented at the 9th International Conference of the Learning Science, Chicago, IL.

  • Furtak, E. M., Thompson, J., Braaten, M., & Windschitl, M. (2012). Learning progressions to support ambitious teaching practices. In A. C. Alonzo & A. W. Gotwals (Eds.), Learning progressions in science. (pp. 405–434). Sense Publishing.

    Google Scholar 

  • *Furtak, E. M., Morrison, D., & Kroog, H. (2014). Investigating the link between learning progressions and classroom assessment. Science Education, 98(4), 640–673.

  • Furtak, E. M., Kiemer, K., Circi, R. K., Swanson, R., de León, V., Morrison, D., & Heredia, S. C. (2016). Teachers’ formative assessment abilities and their relationship to student learning: Findings from a four-year intervention study. Instructional Science, 44, 267–291. https://doi.org/10.1007/s11251-016-9371-3.

    Article  Google Scholar 

  • Gotwals, A. W. (2012). Learning progressions for multiple purposes: Challenges in using learning progressions. In A. Alonzo & A. W. Gotwals (Eds.), Learning progressions in science: Current challenges and future directions. (pp. 461–474). Sense Publishers.

    Google Scholar 

  • *Gotwals, A. W., & Songer, N. B. (2013). Validity evidence for learning progression-based assessment items that fuse core disciplinary ideas and science practices. Journal of Research in Science Teaching, 50, 597–626.

  • Gotwals, A. W., & Anderson, C. W. (2015). Learning progressions. In R. Gunstone (Ed.), Encyclopedia of science education. (pp. 596–601). Springer.

    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, 843–868.

  • Hammer, D., & Sikorski, T.-R. (2015). Implications of complexity for research on learning progressions. Science Education, 99(3), 424–431.

    Google Scholar 

  • Heritage, M. (2008). Learning progressions: Supporting instruction and formative assessment. National Center for Research on Evaluation, Standards, and Student Testing (CRESST).

    Google Scholar 

  • Hess, K. (2008). Developing and using learning progressions as a schema for measuring progress. Retrieved August 8, 2017 from http://www.nciea.org/.

  • *Hovardas, T. (2016). A learning progression should address regression: Insights from developing non-linear reasoning in ecology. Journal of Research in Science Teaching, 53(10), 1447–1470.

  • *Jin, H., & Anderson, C. W. (2012). A learning progression for energy in socio-ecological systems. Journal of Research in Science Teaching, 49(9), 1149–1180.

  • *Jin, H., Zhan, L., & Anderson, C. W. (2013). Developing a fine-grained learning progression framework for carbon-transforming processes. International Journal of Science Education, 35(10), 1663–1697.

  • *Jin, H., Shin, H., Johnson, M. E., Kim, J., & Anderson, C. W. (2015). Developing learning progression-based teacher knowledge measures. Journal of Research in Science Teaching, 52, 1269–1295.

  • *Johnson, P. (2013). A learning progression towards understanding chemical change. Educación Química, 24(4), 365–372.

  • Kaya, E., Erduran, S., & Cetin, P. S. (2012). Discourse, argumentation and science lessons: Match or mismatch in high school students’ perceptions and understanding? Mevlana International Journal of Education, 2(3), 1–32. (Special issue on Inquiry in science education and argumentation based scientific inquiry) ISSN: 2146–7951.

  • Koballa, T. R. J., Bradbury, L. U., Glynn, S. M., & Deaton, C. M. (2008). Conceptions of science teacher mentoring and mentoring practice in an alternative certification program. Journal of Science Teacher Education, 19, 391–411.

    Google Scholar 

  • Krajcik, J. S. (2012). The importance, cautions and future of learning progression research: Some comments on Richard Shavelson’s and Amy Kurpius’s “Reflections on Learning Progressions.” In A. Alonzo & A. W. Gotwals (Eds.), Learning progressions in science: Current challenges and future directions. (pp. 27–38). Sense Publishers.

    Google Scholar 

  • *Lehrer, R., & Schauble, L. (2012). Seeding evolutionary thinking by engaging children in modeling its foundations. Science Education, 46(6), 731–735.

  • Lehrer, R., & Schauble, L. (2015). Learning progressions: The whole world is NOT a stage. Science Education, 99, 432–437.

    Google Scholar 

  • *Liu, X. (2013). Difficulties of items related to energy and matter: Implications for learning progression in high school chemistry. Educación Química, 24(4), 416–422.

  • Liu, X., & Lesniak, K. (2006). Progression in children’s understanding of the matter concept from elementary to high school. Journal of Research in Science Teaching, 43(3), 320–347.

    Google Scholar 

  • Lobato, J., & Walters, C. D. (2017). A taxonomy of approaches to learning trajectories and progressions. Compendium for research in mathematics education (pp. 74–101).

  • Magnusson, S., Krajcik, J., & Borko, H. (1999). Nature, sources, and development of pedagogical content knowledge for science teaching. In J. Gess-Newsome & N. G. Lederman (Eds.), Examining pedagogical content knowledge: The construct and its implications for science education. (pp. 95–132). Kluwer Academic.

    Google Scholar 

  • *Mayes, R. L., Forrester, J. H., Christus, J. S., Peterson, F. I., Bonilla, R., & Yestness, N. (2014). Quantitative reasoning in environmental science: A learning progression. International Journal of Science Education, 36(4), 635–658.

  • Metz, K. (2009). Rethinking what is ‘developmentally appropriate’ from a learning progression perspective: The power and the challenge. Review of Science, Mathematics and ICT Education, 3, 5–22.

    Google Scholar 

  • Mohan, L., & Anderson, C. W. (2009). Teaching experiments and the carbon cycle learning progression. Paper presented at the Learning Progressions in Science (LeaPS) Conference, Iowa City, IA.

  • Mohan, L., & Plummer, J. D. (2012). Exploring challenges to defining a learning progression. In A. Alonzo & A. W. Gotwals (Eds.), Learning progressions in science: Current challenges and future directions. (pp. 77–100). Sense Publishers.

    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.

    Google Scholar 

  • National Research Council. (1999). How people learn: Brain, mind, experience, and school. In J. D. Bransford, A. L. Brown, & R. R. Cocking (Eds.). National Academy Press.

  • National Research Council. (2001). Knowing what students know: The science and design of educational assessment. (J. W. Pellegrino, N. Chudowsky, & R. Glaser, Eds.). National Academy Press.

  • National Research Council. (2007). Taking science to school: Learning and teaching science in grades K-8. National Academies Press.

    Google Scholar 

  • National Research Council. (2011). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. National Academies Press.

    Google Scholar 

  • National Research Council. (2012). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. Committee on a Conceptual Framework for New K-12 Science Education Standards. Board on Science Education, Division of Behavioral and Social Sciences and Education.

    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, 162–188.

  • Next Generation Science Standards Lead States. (2013). Next generation science standards: For states, by states. The National Academies Press.

    Google Scholar 

  • *Ngai, C., Sevian, H., & Talanquer, V. (2014). What is this substance? What makes it different? mapping progression in students’ assumptions about chemical identity. International Journal of Science Education, 36(14), 2438–2461.

  • *Osborne, J. F., Henderson, J. B., MacPherson, A., Szu, E., Wild, A., & Yao, S.-H. (2016). The development and validation of a learning progression for argumentation in science. Journal of Research in Science Teaching, 53(6), 821–846.

  • *Parker, J. M., De Los Santos, E. X., & Anderson, C. W. (2013). What learning progressions on carbon-transforming processes tell us about how students learn to use the laws of conservation of matter and energy. Educación Química, 24(4), 399–406.

  • *Parker, J. M., De Los Santos, E. X., & Anderson, C. W. (2015). Learning progression and climate change. The American Biology Teacher, 77(4), 232–238.

  • *Plummer, J. D. (2014). Spatial thinking as the dimension of progress in an astronomy learning progression. Studies in Science Education, 50, 1–45.

  • Plummer, J. D., & Slagle, C. (2009). A learning progression approach to teacher professional development in astronomy. Paper presented at the Learning Progressions in Science (LeaPS) Conference, Iowa City, IA.

  • *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.

  • Plummer, J. D., & Maynard, L. (2014). Building a learning progression for celestial motion: An exploration of students’ reasoning about the seasons. Journal of Research in Science Teaching, 51, 902–929.

    Google Scholar 

  • *Rivet, A., & Kastens, K. (2012). Developing a construct-based assessment to examine students’ analogical reasoning around physical models in earth science. Journal of Research in Science Teaching, 49, 713–743.

  • Rogat, A., Anderson, C. A., Foster, J., Goldberg, F., Hicks, J., Kanter, D., Krajcik, J., Lehrer, R., Reiser, B., & Wiser, M. (2011). Developing learning progressions in support of the new science standards: A RAPID workshop series. Consortium for Policy Research in Education. Retrieved from: http://eric.ed.gov/?id¼ED536834.

  • Roseman, J. E., Caldwell, A., Gogos, A., & Kuth, L. (2006). Mapping a coherent learning progression for the molecular basis of heredity. Paper presented at the annual meeting of the National Association for Research on Science Teaching, San Francisco, CA.

  • Schneider, R. M., & Plasman, K. (2011). Science teacher learning progressions: A review of science teachers’ pedagogical content knowledge development. Review of Educational Research, 81(4), 530–565.

    Google Scholar 

  • Schwarz, C. V., Reiser, B. J., Fortus, D., Davis, E. A., Kenyon, L., & Shwartz, Y. (2009). Developing a learning progression of scientific modeling: Making scientific modeling accessible and meaningful for learners. Journal of Research in Science Teaching, 46(6), 632–655.

    Google Scholar 

  • *Sevian, H., & Talanquer, V. (2014). Rethinking chemistry: A learning progression on chemical thinking. Chemistry Education Research and Practice, 15, 10–23.

  • Shavelson, R. J. (2009). Reflections on learning progressions. Paper presented at the Learning Progressions in Science (LeaPS) Conference, Iowa City, IA.

  • Shavelson, R. J., & Kurpius, A. (2012). Reflections on learning progressions. In A. Alonzo & A. W. Gotwals (Eds.), Learning progressions in science: Current challenges and future directions. (pp. 13–26). Sense Publishers.

    Google Scholar 

  • *Shea, N. A., & Duncan, R. G. (2013). From theory to data: The process of refining learning progressions. The Journal of the Learning Sciences, 22, 7–32.

  • Shute, V. J. (2008). Focus on formative feedback. Review of Educational Research, 78(1), 153–189.

    Google Scholar 

  • Sikorski, T-R., & Hammer, D. (2010). A critique of how learning progressions research conceptualizes sophistication and progress. Paper presented at the 9th International Conference of the Learning Science, Chicago, IL.

  • Smith, C., 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 atomic-molecular theory. Measurement, 14(1 & 2), 1–98.

    Google Scholar 

  • Songer, N. B., & Gotwals, A. W. (2012). Guiding explanation construction by children at the entry points of learning progressions. Journal of Research in Science Teaching, 49(2), 141–165.

  • Steedle, J. T., & Shavelson, R. J. (2009). Supporting valid interpretations of learning progression level diagnoses. Journal of Research in Science Teaching, 46, 699–715.

    Google Scholar 

  • Stevens, S. Y., Delgado, C., & Krajcik, J. S. (2010). Developing a hypothetical multidimensional learning progression for the nature of matter. Journal of Research in Science Teaching, 47, 687–715.

    Google Scholar 

  • *Stevens, S. Y., Shin, N., & Peek-Brown, D. (2013). Learning progressions as a guide for developing meaningful science learning: A new framework for old ideas. Educación Química, 24(4), 381–390.

  • Stewart, J., Cartier, J. L., & Passmore, P. M. (2005). Developing understanding through model-based inquiry. In M. S. Donovan & J. D. Bransford (Eds.), How students learn. (pp. 515–565). National Research Council.

    Google Scholar 

  • Strike, K., & Posner, G. (1992). A revisionist theory of conceptual change. In R. Duschl & R. Hamilton (Eds.), Philosophy of science, cognitive psychology, and educational theory and practice. (pp. 147–176). Albany.

    Google Scholar 

  • Thompson, J., Braaten, M., & Windschitl, M., (2009). Learning progressions as vision tools for advancing novice teachers’ pedagogical performance. Paper presented at the Learning Progressions in Science (LeaPS) Conference, Iowa City, IA.

  • *Todd, A., & Kenyon, L. (2016). Empirical refinements of a molecular genetics learning progression: The molecular constructs. Journal of Research in Science Teaching. https://doi.org/10.1002/tea.21262.

  • *Todd, A., Romine, W. L., & Cook Whitt, K. (2017). Development and validation of the learning progression–based assessment of modern genetics in a high school context. Science Education, 101(1), 32–65.

  • Wiser, M., Smith, C. L., Doubler, S., & Asbell-Clarke, J. (2009). Learning progressions as tools for curriculum development: Lessons from the inquiry project. Paper presented at the Learning Progressions in Science (LeaPS) Conference, Iowa City, IA.

  • *Yin, Y., Tomita, M. K., & Shavelson, R. J. (2014). Using formal embedded formative assessments aligned with a short-term learning progression to promote conceptual change and achievement in science. International Journal of Science Education, 36, 531–552.

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Upahi, J.E., Ramnarain, U. Evidence of Foundational Knowledge and Conjectural Pathways in Science Learning Progressions. Sci & Educ 31, 55–92 (2022). https://doi.org/10.1007/s11191-021-00226-x

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