Abstract
One of the factors determining the successful social and economic development of any society is the ability of its members to acquire and apply knowledge effectively for the creation of innovative structures, processes, and products. This demands the revision of strategic objectives of higher educational institutions and their reorientation toward the equipment of students with well-developed structural knowledge. The mentioned type of knowledge refers to understanding of relationships between concepts in a domain. It underlies the individual’s problem-solving capabilities and expert performance, as well as processes of knowledge acquisition, retention, recall, and transfer. Therefore, teachers of higher educational institutions should develop and assess students’ structural knowledge on a regular basis, or, in other words, formative assessment of structural knowledge should be deeply integrated into the study process. However, administrative and teaching staff of higher educational institutions most likely does not have proper understanding of the abovementioned type of assessment as this issue is usually ignored both in the literature on pedagogy and assessment in general and in the literature on formative assessment in particular. This contribution presents a high-level conceptual model of formative assessment of structural knowledge that was developed taking into account requirements obtained from the theoretical research on structural knowledge and formative assessment and the author’s personal instructional experience. The model is not based on any particular assessment method. It specifies activities at the level of teacher-student interaction that should be implemented with an aim to support formative assessment of structural knowledge.
References
Anderson, O. R. (2009). Neurocognitive theory and constructivism in science education: A review of neurobiological, cognitive and cultural perspectives. Brunei International Journal of Science and Mathematics Education, 1(1), 1–32.
Anohina-Naumeca, A. (2015). Justifying the usage of concept mapping as a tool for the formative assessment of the structural knowledge of engineering students. Knowledge Management & E-Learning, 7(1), 56–72.
Ausubel, D. P. (2000). The acquisition and retention of knowledge: A cognitive view. Boston, MA: Kluwer.
Beissner, K. L., Jonassen, D. H., & Grabowski, B. L. (1994). Using and selecting graphic techniques to acquire structural knowledge. Performance Improvement Quarterly, 7(4), 20–38. doi:10.1111/j.1937-8327.1994.tb00648.x.
Bell, B., & Cowie, B. (2002). Formative assessment and science education. New York, NY: Kluwer.
Bennett, R. E. (2011). Formative assessment: A critical review. Assessment in Education: Principles, Policy & Practice, 18(1), 5–25. doi:10.1080/0969594X.2010.513678.
Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7–74. doi:10.1080/0969595980050102.
Brookhart, S. M. (2010). Formative assessment strategies for every classroom: An ASCD action tool. Alexandria, VA: ASCD.
Cizek, G. J. (2010). An introduction to formative assessment: History, characteristics, and challenges. In H. L. Andrade & G. J. Cizek (Eds.), Handbook of formative assessment (pp. 3–15). New York, NY: Routledge.
Clariana, R. B. (2010). Multi-decision approaches for eliciting knowledge structure. In D. Ifenthaler, P. Pirnay-Dummer, & N. M. Seel (Eds.), Computer-based diagnostics and systematic analysis of knowledge (pp. 41–60). London, UK: Springer.
Clariana, R. B., & Wallace, P. E. (2009). A comparison of pair-wise, list-wise, and clustering approaches for eliciting structural knowledge. International Journal of Instructional Media, 36(3), 287–302.
Cohen, L., Manion, L., Morrison, K., & Wyse, D. (2010). A guide to teaching practice. Oxon, UK: Routledge.
Curtis, M. B., & Davis, M. A. (2003). Assessing knowledge structure in accounting education: An application of Pathfinder Associative Networks. Journal of Accounting Education, 21(3), 185–195. doi:10.1016/S0748-5751(03)00024-1.
Dacin, P. A., & Mitchell, A. A. (1986). The measurement of declarative knowledge. In R. J. Lutz (Ed.), North American advances in consumer research (pp. 454–459). Provo, UT: Association for Consumer Research.
Davis, M., Curtis, M. B., & Tschetter, J. D. (2003). Evaluating cognitive training outcomes: Validity and utility of structural knowledge assessment. Journal of Business and Psychology, 18(2), 191–206. doi:10.1023/A:1027397031207.
Day, E. A., Arthur, W., Jr., & Gettman, D. (2001). Knowledge structures and the acquisition of a complex skill. Journal of Applied Psychology, 86(5), 1022–1033.
De Jong, T., & Ferguson-Hessler, M. G. M. (1996). Types and qualities of knowledge. Educational Psychologist, 31(2), 105–113. doi:10.1207/s15326985ep3102_2.
Dekkers, R. (2015). Applied systems theory. Zurich, Switzerland: Springer International Publishing. doi:10.1007/978-3-319-10846-9.
Diekhoff, G. M. (1983). Testing through relationship judgments. Journal of Educational Psychology, 75(2), 227–233.
Ecclestone, K. (2010). Transforming formative assessment in lifelong learning. Berkshire, UK: Open University Press.
Feltovich, P. J., Prietula, M. J., & Ericsson, K. A. (2006). Studies of expertise from psychological perspectives. In K. A. Ericsson, N. Charness, P. J. Feltovich, & R. R. Hoffman (Eds.), The Cambridge handbook of expertise and expert performance (pp. 39–68). New York, NY: Cambridge University Press.
Goldsmith, T. E., Johnson, P. J., & Acton, W. H. (1991). Assessing structural knowledge. Journal of Educational Psychology, 83(1), 88–96.
Goldstein, E. B. (2008). Cognitive psychology: Connecting mind, research, and everyday experience. Belmont, CA: Wadsworth.
Hoffman, R. (1998). How can expertise be defined? Implications of research from cognitive psychology. In R. Williams, W. Faulkner, & J. Fleck (Eds.), Exploring expertise. Issues and perspectives (pp. 81–99). London, UK: MacMillan Press.
Holodnaja, M. A. (2002). Психология интеллекта: Парадоксы исследования [Psychology of intellect: Paradoxes of research]. СПб, Россия: Питер.
Hoole, E. (2006). Integrating and evaluating mathematical models of assessing structural knowledge: Comparing associative networking methodologies (Unpublished doctoral dissertation). Harrisonburg, VA: James Madison University.
Irons, A. (2008). Enhancing learning through formative assessment. Oxon, UK: Routledge.
Jonassen, D. H. (1999). Designing constructivist learning environments. In C. M. Reigeluth (Ed.), Instructional-design theories and models: A new paradigm of instructional theory (pp. 215–239). Mahwah, NJ: Lawrence Erlbaum Associates.
Jonassen, D. H. (2000). Computers as mindtools for schools: Engaging critical thinking (2nd ed.). Upper Saddle River, NJ: Merrill Publishing Associates.
Jonassen, D. H. (2004). Learning to solve problems: An instructional design guide. San Francisco, CA: Pfeiffer.
Jonassen, D. H., Beissner, K., & Yacci, M. (1993). Structural knowledge: Techniques for representing, conveying, and acquiring structural knowledge. Hillsdale, NJ: Lawrence Erlbaum Associates.
Keeley, P. (2008). Science formative assessment: 75 practical strategies for linking assessment, instruction, and learning. Thousand Oaks, CA: Corwin Press.
Knight, P. (2001). A briefing on key concepts: Formative and summative, criterion & norm-referenced assessment. York, UK: LTSN Generic Centre.
Koubek, R. (1991). Toward a model of knowledge structure and a comparative analysis of knowledge structure measurement techniques. Retrieved from http://www.dtic.mil/dtic/tr/fulltext/u2/a241400.pdf
Koubek, R. J., Clarkston, T. P., & Calvez, V. (1994). The training of knowledge structures for manufacturing tasks: An empirical study. Ergonomics, 37(4), 765–780. doi:10.1080/00140139408963687.
Lieberman, D. A. (2012). Human learning and memory. New York, NY: Cambridge University Press.
Lopez, E. J., Shavelson, R. J., Nandagopal, K., Szu, E., & Penn, J. (2014). Ethnically diverse students’ knowledge structures in first-semester organic chemistry. Journal of Research in Science Teaching: Special Issue on Discipline-Centered Postsecondary Science Education, 51(6), 741–758. doi:10.1002/tea.21160.
Meyer, B. (2008). The effects of structural and group knowledge on complex problem solving performance (Unpublished doctoral dissertation). Humboldt-Universität zu Berlin, Germany.
Murphy, L. C. R., & Suen, H. K. (1999). Validating measures of structural knowledge through the multitrait-multimethod matrix. Paper presented at the Annual Meeting of the American Educational Research Association, Montreal, QC.
Newton, P. E. (2007). Clarifying the purposes of educational assessment. Assessment in Education, 14(2), 149–170. doi:10.1080/09695940701478321.
Novak, J. D. (2002). Meaningful learning: The essential factor for conceptual change in limited or inappropriate propositional hierarchies leading to empowerment of learners. Science Education, 86(4), 548–571. doi:10.1002/sce.10032.
Novak, J. D., & Gowin, D. B. (1984). Learning how to learn. Cambridge, UK: Cambridge University Press.
Organisation for Economic Co-operation and Development. (2013). Synergies for better learning: An international perspective on evaluation and assessment. OECD reviews of evaluation and assessment in education. Paris, France: OECD Publishing.
Popham, W. J. (2011). Transformative assessment in action: An inside look at applying the process. Alexandria, VA: ASCD.
Preece, P. F. (1976). Mapping cognitive structure: A comparison of methods. Journal of Educational Psychology, 68(1), 1–8. doi:10.1037/0022-0663.68.1.1.
Pritchard, A. (2009). Ways of learning: Learning theories and learning styles in the classroom. New York, NY: Routledge.
Quinlan, P., & Dyson, B. (2008). Cognitive psychology. Harlow, UK: Pearson Education.
Rumelhart, D. E., & Norman, D. A. (1976). Accretion, tuning and restructuring: Three modes of learning (Report No. 7602). San Diego, CA: University of California.
Shavelson, R. J. (1972). Some aspects of the correspondence between content structure and cognitive structure in physics instruction. Journal of Educational Psychology, 63(3), 225–234.
Shavelson, R. J. (1974). Methods for examining representations of a subject-matter structure in a student’s memory. Journal of Research in Science Teaching, 11(3), 231–249. doi:10.1002/tea.3660110307.
Shavelson, R. J. (1983). On quagmires, philosophical and otherwise: A reply to Phillips. Educational Psychologist, 18(2), 81–87. doi:10.1080/00461528309529265.
Shavelson, R. J. (2006). On the integration of formative assessment in teaching and learning with implications for teacher education. Retrieved from http://www.stanford.edu/dept/SUSE/SEAL/Reports_Papers/On%20the%20Integration%20of%20Formative%20Assessment_Teacher%20Ed_Final.doc
Shavelson, R. J., Lang, H., & Lewin, B. (1994). On concept maps as potential “authentic” assessments in science (CSE Technical Report No. 388). Los Angeles, CA: University of California.
Shavelson, R. J., Ruiz-Primo, M. A., & Wiley, E. W. (2005). Windows into the mind. Higher Education, 49(4), 413–430. doi:10.1007/s10734-004-9448-9.
Shavelson, R. J., Young, D. B., Ayala, C. C., Brandon, P. R., Furtak, E. M., Ruiz-Primo, M. A., . . . & Yin, Y. (2008). On the impact of curriculum-embedded formative assessment on learning: A collaboration between curriculum and assessment developers. Applied Measurement in Education, 21(4), 295–314. doi:10.1080/08957340802347647.
Srinivasan, M., McElvany, M., Shay, J. M., Shavelson, R. J., & West, D. C. (2008). Measuring knowledge structure: Reliability of concept mapping assessment in medical education. Academic Medicine, 83(12), 1196–1203. doi:10.1097/ACM.0b013e31818c6e84.
Sternberg, R. J. (2003). Cognitive psychology. Belmont, CA: Wadsworth.
Taber, K. S. (2011). Constructivism as educational theory: Contingency in learning, and optimally guided instruction. In J. Hassaskhah (Ed.), Educational theory (pp. 39–61). New York, NY: Nova.
Trumpower, D. L., & Sarwar, G. S. (2010). Effectiveness of structural feedback provided by Pathfinder networks. Journal of Educational Computing Research, 43(1), 7–24.
Tsai, C.-C., & Huang, C.-M. (2002). Exploring students’ cognitive structures in learning science: A review of relevant methods. Journal of Biological Education, 36(4), 163–169. doi:10.1080/00219266.2002.9655827.
Wadsworth, B. J. (2006). Piaget’s theory of cognitive and affective development. Boston, MA: Pearson.
Wiliam, D., & Thompson, M. (2008). Integrating assessment with learning: What will it take to make it work? In C. A. Dwyer (Ed.), The future of assessment: Shaping teaching and learning (pp. 53–84). Mahwah, NJ: Lawrence Erlbaum Associates.
Yielder, J. (2009). Professional expertise: A model for integration and change. Saarbrücken, Germany: VDM Verlag Dr. Müller.
Yorke, M. (2003). Formative assessment in higher education: Moves toward theory and the enhancement of pedagogic practice. Higher Education, 45(4), 477–501. doi:10.1023/A:1023967026413.
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Anohina-Naumeca, A. (2016). The Conceptual Model of Formative Assessment of Structural Knowledge. In: Spector, M., Lockee, B., Childress, M. (eds) Learning, Design, and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-17727-4_16-1
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