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Contrasting case instruction can improve self-assessment of writing

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Abstract

Self-assessment is a process during which students evaluate the quality of their work in a given domain based on explicitly stated criteria. Accurate self-assessments improve students’ academic achievement. Yet, students often have difficulties assessing their own work. It is possible that appropriate instructional supports will help students overcome these difficulties. To test this premise, we compared the effects of presenting and discussing examples of well and poorly written stories (contrasting cases) with the effects of only presenting and discussing examples of well written stories (good cases only) on students’ writing. Fifty-three 6th-grade students in two history classrooms were randomly assigned to either the contrasting cases or good-cases-only instructional conditions. Results showed that students in the contrasting cases instructional condition created stories of better quality, developed a deeper understanding of the assessment criteria, and became better able to identify areas in need of improvement. This study is one of few efforts applying perceptual learning theories to improve academic skills in everyday classroom settings. The use of contrasting cases provides a promising yet a simple instructional approach that both teachers and students can use to improve writing and self-assessment.

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References

  • Andrade, H. G. (2001). The effects of instructional rubrics on learning to write. Current Issues in Education, 4(4), 31–37.

    Google Scholar 

  • Andrade, H. G. (2010). Students as the definitive source of formative assessment: Academic self-assessment and the self-regulation of learning. In H. Andrade & G. Cizek (Eds.), Handbook of formative assessment (pp. 90–105). New York: Routledge.

    Google Scholar 

  • Andrade, H. G., & Boulay, B. A. (2003). Role of rubric-referenced self-assessment in learning to write. Journal of Educational Research, 97(1), 21–34.

    Article  Google Scholar 

  • Andrade, H., & Du, Y. (2005). Student perspectives on rubric-referenced assessment. Practical Assessment, Research and Evaluation, 10(3), 1–11.

    Google Scholar 

  • Andrade, H. L., Du, Y., & Mycek, K. (2010). Rubric-referenced self-assessment and middle school students’ writing. Assessment in Education: Principles, Policy & Practice, 17(2), 199–214.

    Article  Google Scholar 

  • Andrade, H. L., Du, Y., & Wang, X. (2008). Putting rubrics to the test: The effect of a model, criteria generation, and rubric-referenced self-assessment on elementary school students’ writing. Educational Measurement: Issues and Practice, 27(2), 3–13.

    Article  Google Scholar 

  • Andrade, H. L., Wang, X., Du, Y., & Akawi, R. L. (2009). Rubric-referenced self-assessment and self-efficacy for writing. The Journal of Educational Research, 102(4), 287–301.

    Article  Google Scholar 

  • Andrade, H. L., & Warner, Z. B. (2012). Beyond “I give myself an A”. Educator’s Voice, 5, 42–51.

    Google Scholar 

  • Azevedo, R., Moos, D. C., Greene, J. A., Winters, F. I., & Cromley, J. G. (2008). Why is externally-facilitated regulated learning more effective than self-regulated learning with hypermedia? Educational Technology Research and Development, 56(1), 45–72.

    Article  Google Scholar 

  • Bjork, R. A. (1999). Assessing our own competence: Heuristics and illusions. In D. Gopher & A. Koriat (Eds.), Attention and performance XVII: Cognitive regulation of performance: Interaction of theory and application (pp. 435–459). Cambridge, MA: MIT Press.

    Google Scholar 

  • Bransford, J. D., Franks, J. J., Vye, N. J., & Sherwood, R. D. (1989). New approaches to instruction: Because wisdom can’t be told. In S. Vosniadou & A. Ortony (Eds.), Similarity and analogical reasoning (pp. 470–497). New York: Cambridge University Press.

    Chapter  Google Scholar 

  • Brown, A. L. (1978). Knowing when, where, and how to remember: A problem of metacognition. In R. Glaser (Ed.), Advances in instructional psychology (Vol. 1, pp. 77–165). Hillsdale, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Brown, A. L. (1987). Metacognition, executive control, self-regulation and other more mysterious mechanisms. In F. E. Weinert & R. H. Kluwe (Eds.), Metacognition, motivation, and understanding (pp. 65–116). Hillsdale, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Childers, J. B. (2008). The structural alignment and comparison of events in verb acquisition. In V. S. Sloutsky, B. C. Love, & K. McRae (Eds.), Proceedings of the 30th annual conference of the cognitive science society. Austin, TX: Cognitive Science Society.

    Google Scholar 

  • Childers, J. B., & Paik, J. H. (2009). Korean- and English-speaking children use cross-situational information to learn novel predicate terms. Journal of Child Language, 36(1), 201–224.

    Article  Google Scholar 

  • De Bruin, A. B. H., & van Gog, T. (2012). Improving self-monitoring and self-regulation: From cognitive psychology to the classroom. Learning and Instruction, 22, 245–252.

    Article  Google Scholar 

  • Dunlosky, J., & Hertzog, C. (1998). Training programs to improve learning in later adulthood: Helping older adults educate themselves. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Metacognition in education theory and practice (pp. 249–276). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Dunlosky, J., & Rawson, K. A. (2012). Overconfidence produce underachievement: Inaccurate self evaluations undermine students’ learning and retention. Learning and Instruction, 22(4), 271–280.

    Article  Google Scholar 

  • Dunning, D., Heath, C., & Suls, J. M. (2004). Flawed self-assessment: Implications for health, education and workplace. Psychological Science in the Public Interest, 5(3), 69–106.

    Article  Google Scholar 

  • Elder, A. D. (2010). Children’s self-assessment of their school work in elementary school. Education 3–13, 38(1), 5–11.

    Google Scholar 

  • Eva, K. W., & Regehr, G. (2008a). “I’ll never play professional football” and other fallacies of self-assessment. Journal of Continuing Education in the Health Professions, 28(1), 14–19.

    Article  Google Scholar 

  • Eva, K. W., & Regehr, G. (2008b). Knowing when to look it up: A new conception of self-assessment ability. Academic Medicine, 82(10), 46–54.

    Google Scholar 

  • Falchikov, N., & Boud, D. (1989). Student self-assessment in higher education: A meta-analysis. Review of Educational Research, 59(4), 395–430.

    Article  Google Scholar 

  • Flavell, J. H., & Wellman, H. (1977). Metamemory. In R. V. Vail & J. W. Hagen (Eds.), Perspectives on the development of memory and cognition (pp. 220–241). Hillsdale: Erlbaum.

    Google Scholar 

  • Flower, L., & Hayes, J. (1980). The dynamics of composing: Making plans and juggling constraints. In C. Frederikson & J. Dominic (Eds.), Writing: Process, development and communication (pp. 39–58). Hillsdale, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Garner, W. R. (1974). The processing of information and structure. Potomac, MD: Erlbaum.

    Google Scholar 

  • Gentner, D., Anggoro, F. K., & Klibanoff, R. S. (2011). Structure mapping and relational language support children’s learning of relational categories. Child Development, 82(4), 1173–1188.

    Article  Google Scholar 

  • Gentner, D., Loewenstein, J., & Thompson, L. (2003). Learning to transfer: A general role for analogical encoding. Journal of Educational Psychology, 95(2), 393–408.

    Article  Google Scholar 

  • Gibson, E. J. (1969). Principles of perceptual learning and development. NY: Meredith Corporation.

    Google Scholar 

  • Gibson, J., & Gibson, E. J. (1955). Perceptual learning: Differentiation or enrichment. Psychological Review, 62, 32–51.

    Article  Google Scholar 

  • Gick, M. L., & Holyoak, K. J. (1983). Schema induction and analogical transfer. Cognitive Psychology, 15(1), 1–38.

    Article  Google Scholar 

  • Glaser, C., & Brunstein, J. C. (2007). Improving fourth-grade students’ composition skills: Effects of strategy instruction and self-regulation procedures. Journal of Educational Psychology, 99(2), 297–310.

    Article  Google Scholar 

  • Graham, S. (2006). Writing. In P. A. Alexander & P. Winne (Eds.), Handbook of educational psychology (pp. 457–478). New York: Macmillan.

    Google Scholar 

  • Graham, S., & Harris, K. R. (2000). The role of self-regulation and transcription skills in writing and writing development. Educational Psychologist, 35, 3–12.

    Article  Google Scholar 

  • Graham, S., & Harris, K. R. (2003). Students with learning disabilities and the process of writing: A meta-analysis of SRSD studies. In H. L. Swanson, K. R. Harris, & S. Graham (Eds.), Handbook of learning disabilities (pp. 323–344). New York: Guilford Press.

    Google Scholar 

  • Graham, S., & Hebert, M. (2011). Writing-to-read: A meta-analysis of the impact of writing and writing instruction on reading. Harvard Educational Review, 81(4), 710–744.

    Article  Google Scholar 

  • Graham, S., Kiuhara, S., McKeown, D., & Harris, K. R. (2012). A meta-analysis of writing instruction for students in the elementary grades. Journal of Educational Psychology, 104(4), 879–896.

    Article  Google Scholar 

  • Graham, S., & Perin, D. (2007). A meta-analysis of writing instruction for adolescent students. Journal of Educational Psychology, 99(3), 445–476.

    Article  Google Scholar 

  • Greene, J. A., & Azevedo, R. (2007). A theoretical review of Winne and Hadwin’s model of self-regulated learning: New perspectives and directions. Review of Educational Research, 77(3), 334–372.

    Article  Google Scholar 

  • Hacker, D. J., Keener, M. C., & Kircher, J. C. (2009). Writing is applied metacognition. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Handbook of metacognition in education (pp. 154–173). New York: Taylor & Francis Group.

    Google Scholar 

  • Harris, K. R., & Graham, S. (1992). Helping young writers master the craft: Strategy instruction and self-regulation in the writing process. Cambridge, MA: Brookline.

    Google Scholar 

  • Harris, K. R., Graham, S., Brindle, M., & Sandmel, K. (2009). Metacognition and children’s writing. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Handbook of metacognition in education (pp. 131–153). New York: Taylor & Francis Group.

    Google Scholar 

  • Harris, K. R., Santangelo, T., & Graham, S. (2010). Metacognition and strategies instruction in writing. In H. S. Waters & W. Schneider (Eds.), Metacognition, strategy use and instruction (pp. 226–256). New York: Guilford.

    Google Scholar 

  • Hattikudur, S., & Alibali, M. W. (2010). Learning about the equal sign: Does comparing with inequality symbols help? Journal of Experimental Child Psychology, 107(1), 15–30.

    Article  Google Scholar 

  • Hestenes, D. (1987). Toward a modeling theory of physics instruction. American Journal of Physics, 55(5), 440–454.

    Article  Google Scholar 

  • Higham, P. A. (2013). Regulating accuracy on university tests with the plurality option. Learning and Instruction, 24, 26–36.

    Article  Google Scholar 

  • Houghton Mifflin Social Studies Textbook Support. (1999). A message of ancient days: Unit Activities and Resources. Orlando, FL: Houghton Mifflin Harcourt.

    Google Scholar 

  • Kitzantas, A., & Zimmerman, B. J. (2006). Enhancing self-regulation of practice: The influence of graphing and self-evaluative standards. Metacognition and Learning, 1(3), 201–212.

    Article  Google Scholar 

  • Koriat, A. (2012). The relationships between monitoring, regulation and performance. Learning and Instruction, 22(4), 296–298.

    Article  Google Scholar 

  • Koriat, A., Ma’ayan, H., & Nussinson, R. (2006). The intricate relationships between monitoring and control in metacognition: Lessons for the cause-and-effect relation between subjective experience and behavior. Journal of Experimental Psychology: General, 135, 35–69.

    Google Scholar 

  • Kostons, D., van Gog, T., & Paas, F. (2011). Training self-assessment and task-selection skills: A cognitive approach to improving self-regulated learning. Learning and Instruction, 22(2), 121–132.

    Article  Google Scholar 

  • Labuhn, A. S., Zimmerman, B. J., & Hasselhorn, M. (2010). Enhancing students’ self-regulation and mathematics performance: The influence of feedback and self-evaluative standards. Metacognition and Learning, 5(2), 173–194.

    Article  Google Scholar 

  • Lin, X. D. (2001). Designing metacognitive activities. Educational Technology Research and Development, 49(2), 23–40.

    Article  Google Scholar 

  • Lin, X. D., & Bransford, J. D. (2010). Personal background knowledge influences cross-cultural understanding. Teachers College Record, 12(7), 1729–1757.

    Google Scholar 

  • Lin, X. D., Schwartz, D., & Hatano, G. (2005). Toward teachers’ adaptive metacognition. Educational Psychologist, 40(4), 245–255.

    Article  Google Scholar 

  • Lin, X. D., Siegler, R., & Sullivan, F. (2010). Students’ goals influence their learning. In R. J. Sternburg & D. D. Preiss (Eds.), Innovations in educational psychology: Perspectives on learning, teaching and human development (pp. 79–105). New York: Springer.

    Google Scholar 

  • McCabe, A., & Peterson, C. (1984). What makes a good story? Journal of Psycholinguistic Research, 13(6), 457–480.

    Article  Google Scholar 

  • Metcalfe, J. (2009). Metacognitive judgments and control of study. Current Directions in Psychological Science, 18(3), 159–163.

    Article  Google Scholar 

  • Moskal, B. M. (2003). Recommendations for developing classroom performance assessments and scoring rubrics. Practical Assessment, Research and Evaluation, 8(14). Retrieved April 12, 2012 from http://PAREonline.net/getvn.asp?v=8&n=14.

  • Nelson, T. O. (1984). A comparison of current measures of the accuracy of feeling-of-knowing predictions. Psychological Bulletin, 95, 109–133.

    Article  Google Scholar 

  • Norcini, J. (2003). Peer assessment of competence. Medical Education, 37(6), 539–543.

    Article  Google Scholar 

  • Pintrich, P. R. (2000). An achievement goal theory perspective on issues in motivation terminology, theory, and research. Contemporary Educational Psychology, 25, 92–104.

    Article  Google Scholar 

  • Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4), 385–407.

    Article  Google Scholar 

  • Pintrich, P. R., Conley, A. M., & Kempler, T. M. (2003). Current issues in achievement goal theory and research. International Journal of Educational Research, 39(34–5), 319–337.

    Article  Google Scholar 

  • Pressley, M., & Harris, K. R. (2006). Cognitive strategies instruction: From basic research to classroom instruction. In P. A. Alexander & P. H. Winne (Eds.), Handbook of educational psychology (pp. 265–286). New York: Macmillan.

    Google Scholar 

  • Richland, L. E., & McDonough, I. M. (2010). Learning by analogy: Discriminating between potential analogs. Contemporary Educational Psychology, 35, 28–43.

    Article  Google Scholar 

  • Rittle-Johnson, B., & Star, J. R. (2007). Does comparing solution methods facilitate conceptual and procedural knowledge? An experimental study on learning to solve equations. Journal of Educational Psychology, 99(3), 561–574.

    Article  Google Scholar 

  • Rittle-Johnson, B., & Star, J. R. (2009). Compared to what? The effects of different comparisons on conceptual knowledge and procedural flexibility for equation solving. Journal of Educational Psychology, 101(3), 529–544.

    Article  Google Scholar 

  • Sargeant, J. (2008). Toward a common understanding of self-assessment. Journal of Continuing Education in the Health Professions, 28(1), 1–4.

    Article  Google Scholar 

  • Sargeant, J., Mann, K., van der Vleuten, C., & Metsemakers, J. (2008). “Directed” self-assessment: Practice and feedback within a social context. Journal of Continuing Education in the Health Professions, 28(1), 47–54.

    Article  Google Scholar 

  • Scardamalia, B., & Bereiter, C. (1985). Fostering the development of self-regulation in children’s knowledge processing. In S. Chipman, J. Segal, & R. Glaser (Eds.), Thinking and learning skills: Current research and open questions (pp. 563–577). Hillsdale, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Schneider, P., & Winship, S. (2002). Adults’ judgments of fictional story quality. Journal of Speech, Language and Hearing Research, 45(2), 372–383.

    Article  Google Scholar 

  • Schraw, G. (2009). A conceptual analysis of five measures of metacognitive monitoring. Metacognition and Learning, 4, 33–45.

    Article  Google Scholar 

  • Schwartz, D. L., & Bransford, J. D. (1998). A time for telling. Cognition and Instruction, 16(4), 475–522.

    Article  Google Scholar 

  • Schwartz, D. L., Chase, C. C., Oppezzo, M. A., & Chin, D. B. (2011). Practicing versus inventing with contrasting cases: The effects of telling first on learning and transfer. Journal of Educational Psychology, 103(4), 759–775.

    Article  Google Scholar 

  • Schwartz, D. L., & Martin, T. (2004). Inventing to prepare for future learning: The hidden efficiency of encouraging original student production in statistics instruction. Cognition and Instruction, 22(2), 129–184.

    Article  Google Scholar 

  • Thiede, K. W., & Dunlosky, J. (1999). Toward a general model of self-regulated study: An analysis of selection of items for study and self-paced study time. Journal of Experimental Psychology: Learning, Memory, and Cognition, 25(4), 1024–1037.

    Google Scholar 

  • Thompson, L., Gentner, D., & Loewenstein, J. (2000). Avoiding missed opportunities in managerial life: Analogical training more powerful than individual case training. Organization Behavior and Human Decision Processes, 82, 60–75.

    Article  Google Scholar 

  • Tsivitanidou, O. E., Zacharia, Z. C., & Hovardas, T. (2011). Investigating secondary school students’ unmediated peer assessment skills. Learning and Instruction, 21(4), 506–519.

    Article  Google Scholar 

  • Van Loon, M. H., de Bruin, A. B. H., van Gog, T., & van Merrienboer, J. J. G. (2013). Activation of inaccurate prior knowledge affects primary-school students’ metacognitive judgments and calibration. Learning and Instruction, 24, 15–25.

    Article  Google Scholar 

  • VanLehn, K., & Van De Sande, B. (2009). Acquiring conceptual expertise from modeling: The case of elementary physics. In K. A. Ericsson (Ed.), The development of professional performance: Toward measurement of expert performance and design of optimal learning environment (pp. 356–378). Cambridge, UK: Cambridge University Press.

    Chapter  Google Scholar 

  • Veenman, M. V. J. (2011). Learning to self-monitor and self-regulate. In R. Mayer & P. Alexander (Eds.), Handbook of research on learning and instruction (pp. 1197–1218). New York: Routledge.

    Google Scholar 

  • Wang, S.-H., & Baillargeon, R. (2008). Can infants be ‘‘taught” to attend to a new physical variable in an event category? The case of height in covering events. Cognitive Psychology, 56(4), 284–326.

    Article  Google Scholar 

  • Winne, P. H. (2005). Key issues in modeling and applying research on self-regulated learning. Applied Psychology: An International Review, 54(2), 232–238.

    Article  Google Scholar 

  • Winne, P. H., & Nesbit, J. C. (2010). The psychology of academic achievement. Annual Review of Psychology, 61, 653–678.

    Article  Google Scholar 

  • Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13–39). San Diego: Academic Press.

    Chapter  Google Scholar 

  • Zimmerman, B. J. (2006). Development and adaptation of expertise: The role of self-regulatory processes and beliefs. In K. A. Ericsson, N. Charness, P. J. Feltovich, & R. R. Hoffman (Eds.), The Cambridge handbook of expertise and expert performance (pp. 705–722). Cambridge, MA: Cambridge University Press.

    Chapter  Google Scholar 

  • Zimmerman, B. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45, 166–183.

    Article  Google Scholar 

  • Zimmerman, B. J., & Kitsantas, A. (2002). Acquiring writing revision and self-regulatory skill through observation and emulation. Journal of Educational Psychology, 94(4), 660–668.

    Article  Google Scholar 

  • Zimmerman, B. J., & Risemberg, R. (1997). Becoming a self-regulated writer: A social cognitive perspective. Contemporary Educational Psychology, 22(1), 73–101.

    Article  Google Scholar 

  • Zimmerman, B., & Schunk, D. H. (2011). Handbook of self-regulation of learning and performance. New York: Routledge.

    Google Scholar 

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Lin-Siegler, X., Shaenfield, D. & Elder, A.D. Contrasting case instruction can improve self-assessment of writing. Education Tech Research Dev 63, 517–537 (2015). https://doi.org/10.1007/s11423-015-9390-9

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