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Fostering creative performance in art and design education via self-regulated learning

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Abstract

There is a lack of research and practice focused on how to foster higher-order processing, such as creative performance, within higher education settings. To address this gap in research, we chose to study pedagogical practices in schools of art and design, where one of the intended learning outcomes is creativity. Based upon data gathered as part of a larger study (Sawyer in Thinking Skills and Creativity, http://doi.org/10.1016/J.TSC.2018.08.002, 2018), we found that among a large number of creative performance pedagogical practices we identified, a subset seemed to foster self-regulated learning (SRL). Therefore, the goal of our study was to identify the ways art and design professors enacted practices that foster their students’ self-regulation during learning and performance. We found these professors utilized a number of direct and indirect methods of fostering their students’ SRL, all intended to enhance students’ ability to enact creative performance. In addition to revealing interesting comparisons between SRL in art and design and other more commonly studied contexts such as science or history, our findings suggested numerous directions for expanding SRL models, including a greater focus on process as the outcome of SRL, a need to continue research into SRL during higher-order processing, and gaps regarding the development of SRL.

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References

  • Alexander, P. A. (2003). The development of expertise: The journey from acclimation to proficiency. Educational Researcher, 32(8), 10–14.

    Article  Google Scholar 

  • Alexander, P. A. (2013). Calibration: What is it and why it matters? An introduction to the special issue on calibrating calibration. Learning and Instruction, 24, 1–3.

    Article  Google Scholar 

  • Alexander, P. A., Dinsmore, D. L., Parkinson, M. M., & Winters, F. I. (2011). Self- regulated learning in academic domains. In B. Zimmerman & D. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 393–407). New York: Routledge.

    Google Scholar 

  • Alexander, P. A., Sperl, C. T., Buehl, M. M., Fives, H., & Chiu, S. (2004). Modeling domain learning: Profiles from the field of special education. Journal of Educational Psychology, 96(3), 545.

    Article  Google Scholar 

  • Azevedo, R. (2005). Computer environments as metacognitive tools for enhancing learning. Educational Psychologist, 40, 193–197.

    Article  Google Scholar 

  • Azevedo, R. (2014). Issues in dealing with sequential and temporal characteristics of self- and socially-regulated learning. Metacognition and Learning, 9, 217–228.

    Article  Google Scholar 

  • Azevedo, R., & Jacobson, M. (2008). Advances in scaffolding learning with hypertext and hypermedia: A summary and critical analysis. Educational Technology Research & Development, 56(1), 93–100.

    Article  Google Scholar 

  • Bandura, A. (1980). Gauging the relationship between self-efficacy judgment and action. Cognitive Therapy and Research, 4(2), 263–268.

    Article  Google Scholar 

  • Ben-Eliyahu, A., & Bernacki, M. L. (2015). Addressing complexities in self-regulated learning: A focus on contextual factors, contingencies, and dynamic relations. Metacognition and Learning, 10(1), 1–13.

    Article  Google Scholar 

  • Binbasaran Tüysüzoğlu, B., & Greene, J. A. (2015). An investigation of the role of contingent metacognitive behavior in self-regulated learning. Metacognition & Learning, 10, 77–98.

    Article  Google Scholar 

  • Bol, L., & Hacker, D. J. (2012). Calibration research: Where do we go from here? Frontiers in Psychology, 3, 1–6.

    Article  Google Scholar 

  • Bol, L., Hacker, D. J., Walck, C. C., & Nunnery, J. A. (2012). The effects of individual or group guidelines on the calibration accuracy and achievement of high school biology students. Contemporary Educational Psychology, 37(4), 280–287.

    Article  Google Scholar 

  • Bransford, J. D., Brown, A. L., & Cocking, R. R. (2000). How people learn: Brain, mind, experience, and school. Washington, DC: National Academy of Science Press.

    Google Scholar 

  • Charmaz, K. (2014). Constructing grounded theory. New York: Sage.

    Google Scholar 

  • Chen, P. P., & Bembenutty, H. (2018). Calibration of performance and academic delay of gratification: Individual and group differences in self-regulation of learning. In D. H. Schunk & J. A. Greene (Eds.), Handbook of self-regulation of learning and performance (2nd ed., pp. 407–420). New York, NY: Routledge.

    Google Scholar 

  • Cleary, T., & Zimmerman, B. J. (2001). Self-regulation differences during athletic practice by experts, non-experts, and novices. Journal of Applied Sport Psychology, 13, 61–82.

    Article  Google Scholar 

  • Corbin, J., & Strauss, A. (2008). Basics of qualitative research: Techniques and procedures for developing grounded theory. Thousand Oaks, CA: Sage.

    Book  Google Scholar 

  • Cross, N. (2011). Design thinking: Understanding how designers think and work. New York: Berg.

    Book  Google Scholar 

  • Cross, N., Dorst, K., & Roozenburg, N. (1992). Research in design thinking. Delft, Netherlands: Delft University Press.

    Google Scholar 

  • De Corte, E., Verschaffel, L., & Masui, C. (2004). The CLIA-model: A framework for designing powerful learning environments for thinking and problem solving. European Journal of Psychology of Education, 19(4), 365–384.

    Article  Google Scholar 

  • Dent, A. L., & Koenka, A. C. (2016). The relation between self-regulated learning and academic achievement across childhood and adolescence: A meta-analysis. Educational Psychology Review, 28(3), 425–474.

    Article  Google Scholar 

  • Dinsmore, D. L. (2017). Strategic processing in education. New York: Routledge.

    Book  Google Scholar 

  • Dinsmore, D. L., & Parkinson, M. M. (2013). What are confidence judgments made of? Students’ explanations for their confidence ratings and what that means for calibration. Learning and Instruction, 24, 4–14.

    Article  Google Scholar 

  • Dweck, C. S. (2015). Growth. British Journal of Educational Psychology, 85, 242–245.

    Article  Google Scholar 

  • Dweck, C. S., & Master, A. (2008). Self-theories motivate self-regulated learning. In D. Schunk & B. Zimmerman (Eds.), Motivation and self-regulated learning: Theory, research, and applications. Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Efklides, A. (2011). Interactions of metacognition with motivation and affect in self-regulated learning: The MASRL model. Educational Psychologist, 46(1), 6–25.

    Article  Google Scholar 

  • Enyedy, N. (2005). Inventing mapping: Creating cultural forms to solve collective problems. Cognition and Instruction, 23(4), 427–466.

    Article  Google Scholar 

  • Ericsson, K. A. (2015). Acquisition and maintenance of medical expertise: A perspective from the expert-performance approach with deliberate practice. Academic Medicine, 90(11), 1471–1486.

    Article  Google Scholar 

  • Ge, X., Law, V., & Huang, K. (2016). Detangling the interrelationships between self-regulation and ill-structured problem solving in problem-based learning. Interdisciplinary Journal of Problem-Based Learning, 10(2), 11.

    Article  Google Scholar 

  • Glaser, B. G. (1978). Theoretical sensitivity: Advances in the methodology of grounded theory. Mill Valley, CA: Sociology Press.

    Google Scholar 

  • Glaser, B. G. (1992). Basics of grounded theory analysis: Emergence vs forcing. Mill Valley, CA: Sociology Press.

    Google Scholar 

  • Glaser, B., & Strauss, A. (1967). The discovery of grounded theory (pp. 1–19). London: Weidenfield & Nicolson.

    Google Scholar 

  • Greene, J. A. (2018). Self-regulation in education. New York, NY: Routledge.

    Google Scholar 

  • Greene, J. A., Bolick, C. M., & Robertson, J. (2010). Fostering historical knowledge and thinking skills using hypermedia learning environments: The role of self-regulated learning. Computers & Education, 54, 230–243.

    Article  Google Scholar 

  • Greene, J. A., Bolick, C. M., Jackson, W. P., Caprino, A. M., Oswald, C., & McVea, M. (2015). Domain-specificity of self-regulated learning processing in science and history. Contemporary Educational Psychology, 42, 111–128.

    Article  Google Scholar 

  • Greene, J. A., Hutchison, L. A., Costa, L., & Crompton, H. (2012). Investigating how college students’ task definitions and plans relate to self-regulated learning processing and understanding of a complex science topic. Contemporary Educational Psychology, 37, 307.

    Article  Google Scholar 

  • Greene, J. A., Yu, S., & Copeland, D. Z. (2014). Measuring critical components of digital literacy and their relationships with learning. Computers & Education, 76, 55–69.

    Article  Google Scholar 

  • Hadwin, A., Järvelä, S., & Miller, M. (2018). Self-regulation, co-regulation, and shared regulation in collaborative learning environments. In D. H. Schunk & J. A. Greene (Eds.), Handbook of self-regulation of learning and performance (2nd ed., pp. 83–106). New York, NY: Routledge.

    Google Scholar 

  • Haimovitz, K., & Dweck, C. S. (2016). What predicts children’s fixed and growth intelligence mindsets? Not their parents’ view of intelligence but their parents’ views of failure. Psychological Science, 27(6), 859–869.

    Article  Google Scholar 

  • Hall, R., & Stevens, R. (1994). Making space: A comparison of mathematical work in school and professional design practices. The Sociological Review, 42(S1), 118–145.

    Article  Google Scholar 

  • Halverson, E. R., & Sheridan, K. (2014). The maker movement in education. Harvard Educational Review, 84(4), 495–504.

    Article  Google Scholar 

  • Hoyle, R. J., & Dent, A. L. (2018). Developmental trajectories of skills and abilities relevant for self-regulation of learning and performance. In D. H. Schunk, & J. A. Greene (Eds.), Handbook of self-regulation of learning and performance (2nd Ed.) (pp. 49–63). New York: Routledge.

  • Järvenoja, H., Järvelä, S., & Malmberg, J. (2015). Understanding the process of motivational, emotional and cognitive regulation in learning situations. Educational Psychologist, 50(3), 204–219.

    Article  Google Scholar 

  • Jay, E. S., & Perkins, D. N. (1997). Problem finding: The search for mechanism. In M. A. Runco (Ed.), The creativity research handbook (pp. 257–293). Cresskill, NJ: Hampton Press.

    Google Scholar 

  • Jonassen, D. H. (1997). Instructional design models for well-structured and ill-structured problem-solving learning outcomes. Educational Technology, Research, and Development, 45(1), 65–94.

    Article  Google Scholar 

  • Karabenick, S. A., & Gonida, E. N. (2018). Academic help seeking as a self-regulated learning strategy: Current issues, future directions. In D. H. Schunk & J. A. Greene (Eds.), Handbook of self-regulation of learning and performance (2nd ed., pp. 421–433). New York, NY: Routledge.

    Google Scholar 

  • Kistner, S., Rakoczy, K., Otto, B., Dignath-van Ewijk, C., Büttner, G., & Klieme, E. (2010). Promotion of self-regulated learning in classrooms: Investigating frequency, quality, and consequences for student performance. Metacognition and Learning, 5(2), 157–171.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Kramarski, B. (2018). Teachers as agents in promoting students’ SRL: Research and implications. In. D. H. Schunk & J. A. Greene (Eds.). Handbook of self-regulation of learning and performance (2nd Ed.) (pp. 223–239). New York: Routledge.

  • Lee, N. (2009). Project methods as the vehicle for learning in undergraduate design education: A typology. Design Studies, 30(5), 541–560.

    Article  Google Scholar 

  • Levitt, H. M., Bamberg, M., Creswell, J. W., Frost, D. M., Josselson, R., & Suárez-Orozco, C. (2018). Journal article reporting standards for qualitative primary, qualitative meta-analytic, and mixed methods research in psychology: The APA Publications and Communications Board task force report. American Psychologist, 73(1), 26.

    Article  Google Scholar 

  • Lichtman, M. (2012). Qualitative research in education: A user’s guide. Thousand Oaks, CA: Sage Publications.

    Google Scholar 

  • Lodewyk, K. R., Winne, P. H., & Jamieson-Noel, D. L. (2009). Implication of task structure on self-regulated learning and achievement. Educational Psychology, 29(1), 1–25.

    Article  Google Scholar 

  • Mace, M. A., & Ward, T. (2002). Modeling the creative process: A grounded theory analysis of creativity in the domain of art making. Creativity Research Journal, 14(2), 179–192.

    Article  Google Scholar 

  • Malmberg, J., Järvelä, S., & Kirschner, P. A. (2014). Elementary school students’ strategic learning: Does task-type matter? Metacognition and Learning, 9(2), 113–136.

    Article  Google Scholar 

  • Meece, J. L., Anderman, E. M., & Anderman, L. H. (2006). Classroom goal structures, student motivation, and academic achievement. Annual Review of Psychology, 57, 487–504.

    Article  Google Scholar 

  • Moos, D. C., & Ringdal, A. (2012). Self-regulated learning in the classroom: A literature review on the teacher’s role. Education Research International, 2012.

  • Mumford, M. D., Baughman, W. A., & Sager, C. E. (2003). Picking the right material: Cognitive processing skills and their role in creative thought. In M. A. Runco (Ed.), Critical and creative thinking (pp. 19–68). Cresskill, NJ: Hampton.

    Google Scholar 

  • National Education Association. (2014). Preparing 21st century students for a global society: An educators guide to the “Four Cs”. Washington, DC: National Education Association.

    Google Scholar 

  • NGSS Lead States. (2013). Next generation science standards: For states, by states (Vol. 1: The standards). Washington, DC: The National Academies Press.

  • OECD. (2013). Trends shaping education 2013. Paris, France: OECD. https://doi.org/10.1787/trends_edu-2013-en.

    Book  Google Scholar 

  • Oh, Y., Ishizaki, S., Gross, M. D., & Do, E. Y.-L. (2013). A theoretical framework of design critiquing in architecture studios. Design Studies, 34(3), 302–325.

    Article  Google Scholar 

  • Paris, S. G., & Paris, A. H. (2001). Classroom applications of research on self-regulated learning. Educational psychologist, 36(2), 89–101.

    Article  Google Scholar 

  • Pieschl, S. (2009). Metacognitive calibration—An extended conceptualization and potential applications. Metacognition and Learning, 4, 3–31.

    Article  Google Scholar 

  • Pieschl, S., Stahl, E., Murray, T., & Bromme, R. (2012). Is adaptation to task complexity really beneficial for performance? Learning and Instruction, 22(4), 281–289.

    Article  Google Scholar 

  • Poitras, E. G., & Lajoie, S. P. (2013). A domain-specific account of self-regulated learning: The cognitive and metacognitive activities involved in learning through historical inquiry. Metacognition & Learning, 8, 213–234.

    Article  Google Scholar 

  • Poitras, E. G., & Lajoie, S. P. (2018). Using technology-rich environments to foster self-regulated learning in social studies. In D. H. Schunk & J. A. Greene (Eds.), Handbook of self-regulation of learning and performance (2nd ed., pp. 166–180). New York, NY: Routledge.

    Google Scholar 

  • Powers, M. N. (2017). Self-regulated design learning: A foundation and framework for teaching and learning design. New York: Routledge.

    Google Scholar 

  • Rotgans, J. L., & Schmidt, H. G. (2009). Examination of the context-specific nature of self-regulated learning. Educational Studies, 35(3), 239–253.

    Article  Google Scholar 

  • Rubenstein, L. D., Callan, G. L., & Ridgley, L. M. (2018). Anchoring the creative process within a self-regulated learning framework: Inspiring assessment methods and future research. Educational Psychology Review, 30(3), 921–945. https://doi.org/10.1007/s10648-017-9431-5.

    Article  Google Scholar 

  • Rutherford, T. (2017). Within and between person associations of calibration and achievement. Contemporary Educational Psychology, 49, 226–237.

    Article  Google Scholar 

  • Sawyer, R. K. (2012). Explaining creativity: The science of human innovation (2nd ed.). New York: Oxford University Press.

    Google Scholar 

  • Sawyer, R. K. (2017). Teaching creativity in art and design studio classes: A systematic literature review. Educational Research Review, 22, 99–113.

    Article  Google Scholar 

  • Sawyer, R. K. (2018). The role of failure in learning how to create in art and design. Thinking Skills and Creativity. http://doi.org/10.1016/J.TSC.2018.08.002

  • Schon, D. A. (1984). The reflective practitioner: How professionals think in action (Vol. 5126). New York: Basic books.

    Google Scholar 

  • Schraw, G., Crippen, K. J., & Hartley, K. (2006). Promoting self-regulation in science education: Metacognition as part of a broader perspective on learning. Research in Science Education, 36(1–2), 111–139.

    Article  Google Scholar 

  • Schunk, D. H., & Greene, J. A. (2018). Historical, contemporary, and future perspectives on self-regulated learning and performance. In D. H. Schunk & J. A. Greene (Eds.), Handbook of self-regulation of learning and performance (2nd ed., pp. 1–15). New York, NY: Routledge.

    Google Scholar 

  • Simon, H. A. (1973). The structure of ill structured problems. Artificial Intelligence, 4, 181–201.

    Article  Google Scholar 

  • Sinatra, G. M., & Taasoobshirazi, G. (2018). The self-regulation of learning and conceptual change in science: Research, theory, and educational applications. In D. H. Schunk & J. A. Greene (Eds.), Handbook of self-regulated learning and performance (2nd ed., pp. 153–165). New York: Routledge.

    Google Scholar 

  • Strauss, A., & Corbin, J. (1990). Basics of qualitative research (Vol. 15). Newbury Park, CA: Sage.

    Google Scholar 

  • Thiede, K. W., & De Bruin, A. B. H. (2018). Self-regulated learning in reading. In D. H. Schunk & J. A. Greene (Eds.), Handbook of self-regulation of learning and performance (2nd ed., pp. 109–123). New York, NY: Routledge.

    Google Scholar 

  • Trilling, B., & Fadel, C. (2009). 21st century skills: Learning for life in our times. New York: Wiley.

    Google Scholar 

  • Weiner, B. (2010). The development of an attribution-based theory of motivation: A history of ideas. Educational Psychologist, 45(1), 28–36.

    Article  Google Scholar 

  • Winne, P. H. (2001). Self-regulated learning viewed from models of information processing. In B. J. Zimmerman & D. H. Schunk (Eds.), Self-regulated learning and academic achievement: Theoretical perspectives (2nd ed., pp. 153–189). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Winne, P. H. (2017). Theorizing and researching levels of processing in self-regulated learning. British Journal of Educational Psychology. https://doi.org/10.1111/bjep.

  • Zepeda, C. D., Richey, J. E., Ronevich, P., & Nokes-Malach, T. J. (2015). Direct instruction of metacognition benefits adolescent science learning, transfer, and motivation: An in vivo study. Journal of Educational Psychology, 107(4), 954.

    Article  Google Scholar 

  • Zimmerman, B. (1986). Becoming a self-regulated learner: Which are the key subprocesses? Contemporary Educational Psychology, 11, 307–313.

    Article  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). New York: Cambridge University Press.

    Chapter  Google Scholar 

  • Zimmerman, B. J. (2013). From cognitive modeling to self-regulation: A social cognitive career path. Educational Psychologist, 48(3), 135–147.

    Article  Google Scholar 

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  1. University of North Carolina at Chapel Hill, Peabody Hall, CB#3500, Chapel Hill, NC, 27599, USA

    Jeffrey A. Greene, Rebekah Freed & R. Keith Sawyer

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Correspondence to Jeffrey A. Greene.

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Greene, J.A., Freed, R. & Sawyer, R.K. Fostering creative performance in art and design education via self-regulated learning. Instr Sci 47, 127–149 (2019). https://doi.org/10.1007/s11251-018-9479-8

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