Skip to main content
Log in

Elementary school students’ strategic learning: does task-type matter?

  • Published:
Metacognition and Learning Aims and scope Submit manuscript

Abstract

This study investigated what types of learning patterns and strategies elementary school students use to carry out ill- and- well-structured tasks. Specifically, it was investigated which and when learning patterns actually emerge with respect to students’ task solutions. The present study uses computer log file traces to investigate how conditions of task types that might affect strategic learning. Elementary school students (N = 12) participated in two science study lessons. During these lessons the students were asked to solve well- and ill-structured tasks. For both of these tasks, the students used the gStudy learning environment designed to support strategic learning. In addition, gStudy records traces of each student’s strategic actions as they proceed with tasks. First, the students’ task solutions was rated according to three categories, namely “on track”, “off track” and “partial solution”. Second, learning patterns in terms of learning strategies that emerged throughout these tasks were investigated. Third, detailed cross case analysis was used to explore in depth how and when these learning patterns were used with respect to the students’ task solutions. The results show that young students’ can provide in-depth task solutions, but also adapt to the task complexity. However, despite the task types being different, the students had same types of learning patterns. The detailed cross-case comparison of the students’ task solutions with respect to learning patterns indicates that there are intra individual differences concerning how students allocate their learning strategy use. Especially if the task is ill-structured, it can also mislead the students to focus on irrelevant aspects and hinder strategic learning.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Alexander, P. A., Graham, S., & Harris, K. R. (1998). A perspective on strategy research: progress and prospects. Educational Psychology Review, 10, 129–154.

    Article  Google Scholar 

  • Anderson, C. A., & Jennings, D. L. (1980). When experiences of failure promote expectations of attribution failure to ineffective strategies. Journal of Personality, 48, 393–407.

    Article  Google Scholar 

  • Azevedo, R., & Cromley, J. (2004). Does training on self-regulated learning facilitate students’ learning with hypermedia? Journal of Educational Psychology, 96, 523–535.

    Article  Google Scholar 

  • Azevedo, R., Moos, D. C., Johnson, A. M., & Chauncey, A. D. (2010). Measuring cognitive and metacognitive regulatory processes during hypermedia learning: issues and challenges. Educational Psychologist, 45(4), 210–223.

    Article  Google Scholar 

  • Azevedo, R., & Witherspoon, A. M. (2009). Self-regulated learning with hypermedia. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Handbook of metacognition in education (pp. 319–339). Mahwah, NJ: Routledge.

  • Bjorklund, D., Miller, P., Coyle, T., & Slawinski, J. (1997). Instructing children to use memory strategies: evidence of utilization deficiencies in memory training studies. Developmental Review, 17, 411–441.

    Article  Google Scholar 

  • Boekaerts, M., & Corno, L. (2005). Self-regulation in the classroom: a perspective on assessment and intervention. Applied Psychology: An International Review, 54, 199–231.

    Article  Google Scholar 

  • Butler, D. L., & Cartier, S. C. (2004). Promoting effective task interpretation as an important work habit: a key to successful teaching and learning. Teacher College Record, 106, 1729–1758.

    Article  Google Scholar 

  • Cao, L., & Nietfeld, J. L. (2007). College students’ metacognitive awareness of difficulties in learning the class content does not automatically lead to adjustment of study strategies. Australian Journal of Educational & Developmental Psychology, 7, 31–46.

    Google Scholar 

  • Chi, M. T. H., & Glaser, R. (1985). Problem solving ability. In R. Sternberg (Ed.), Human abilities: An information processing approach (pp. 227–250). San Francisco: Freeman.

    Google Scholar 

  • Clearly, T. (2011). Emergence of self-regulated learning microanalysis: Historical overview, essential features, and implications for research practices. In B. Zimmerman & D. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 329–345). New York: Routledge.

    Google Scholar 

  • Danserau, D. (1985). Learning strategy research. In J. W. Segal, S. F. Chipman, & R. Glaser (Eds.), Thinking and learning skills. (Vol. 1). Hillsdale: Erlbaum.

    Google Scholar 

  • Dignath, C., Buettner, G., & Langfeldt, H. P. (2008). How can primary school students learn self-regulated learning strategies most effectively? A meta-analysis on self-regulation training programs. Educational Research Review, 3, 101–129.

    Article  Google Scholar 

  • Graham, S., Santos, D., & Vanderplank, R. (2008). Listening comprehension and strategy use: a longitudinal exploration. System, 36, 52–68.

    Article  Google Scholar 

  • Greene, J., Hutchison, A., Costa, L.-J., & Crompton, H. (2012). Investigating how college students’ task definitions and plans relate to self-regulated learning processing and understanding of complex science topic. Contemporary Educational Psychology, 37, 307–320.

    Article  Google Scholar 

  • Hadwin, A. F. (2013). Response to Vassallo’s claims from a historically situated view of self-regulated learning as adaptation in the face of challenge. New Ideas in Psychology 31(3), 1–4.

    Google Scholar 

  • Hadwin, A. F., Winne, P. H., Stockley, D. B., Nesbit, J., & Woszczyna, C. (2001). Context moderates students’ self-reports about how they study. Journal of Educational Psychology, 93(3), 477–487.

    Google Scholar 

  • Hadwin, A. F., Nesbit, J., Jamieson-Noel, D., Code, J., & Winne, P. (2007). Examining trace data to explore self-regulated learning. Metacognition and Learning, 2, 107–124.

    Article  Google Scholar 

  • Hadwin, A. F., Järvelä, S., & Miller, M. (2011). Self-regulated, co-regulated and socially shared regulation of learning. In B. Zimmerman & D. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 65–84). New York: Routledge.

    Google Scholar 

  • Hilbert, T. S., & Renkl, A. (2008). Concept mapping as a follow-up strategy to learning from texts: what characterizes good and poor mappers? Instructional Science, 36, 53–73.

    Article  Google Scholar 

  • Järvelä, S., & Niemivirta, M. (2001). Motivation in context: Challenges and possibilities in studying the role of motivation in new pedagogical cultures. In S. Volet & S. Järvelä (Eds.), Motivation in learning contexts: Theoretical advances and methodological implications (pp. 105–127). London: Pergamon/Elsevier.

    Google Scholar 

  • Järvelä, S., Veermans, M., & Leinonen, P. (2008). Investigating student engagement in computer supported inquiry: a process-oriented analysis. Social Psychology in Education, 11, 299–322.

    Article  Google Scholar 

  • Järvelä, S., Järvenoja, H., & Näykki, P. (2013). Analyzing regulation of motivation as an individual and social process – A situated approach. In S. Volet & M. Vauras (Eds.), Interpersonal regulation of learning and motivation: Methodological advances (pp. 170–187). New York: Routledge.

    Google Scholar 

  • Johnson, A., Azevedo, R., & D’Mello, S. K. (2011). The temporal and dynamic nature of self-regulatory processes during independent and externally assisted hypermedia learning. Cognition and Instruction, 29, 471–504.

    Article  Google Scholar 

  • Jonassen, D. (2010). Learning to solve problems: A handbook. New York: Routledge.

    Google Scholar 

  • Kirby, J. R. (1988). Style, strategy and skill in reading. In R. R. Schmeck (Ed.), Learning strategies and learning styles (pp. 230–274). New York: Plenum Press.

    Google Scholar 

  • Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: an analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41, 75–86.

    Article  Google Scholar 

  • Kuhn, D. (1995). Microgenetic study of change: what has it told us? Psychological Science, 6, 133–139.

    Article  Google Scholar 

  • Lavonen, J., & Laaksonen, S. (2009). Context of teaching and learning school science in Finland: reflections on PISA 2006 Results. Journal of Research in Science Teaching, 46, 922–944.

    Article  Google Scholar 

  • Liu, M., & Bera, S. (2005). An analysis of cognitive tool use patterns in hypermedia learning environment. Educational Technology Research and Development, 53, 5–21.

    Article  Google Scholar 

  • Lodewyk, K., & Winne, P. H. (2005). Relations among the structure of learning tasks, achievement, and changes in self-efficacy in secondary students. Journal of Educational Psychology, 97, 3–12.

    Article  Google Scholar 

  • Lodewyk, K., Winne, P. H., & Jamieson-Noel. (2009). Implications of task structure on self-regulated learning and achievement. An International Journal of Experimental Educational Psychology, 29, 1–25.

    Google Scholar 

  • Malmberg, J., Järvenoja, H., & Järvelä, S. (2013). Patterns in elementary school students’ strategic actions in varying learning situations. Instructional Science, 41, 933–954.

    Article  Google Scholar 

  • Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis, 2nd ed. Thousan Oaks, Ca: Sage.

  • Oliver, K., & Hannafin, M. J. (2000). Student management of Web-based hypermedia resources during open-ended problem-solving. The Journal of Educational Research, 94, 75–92.

    Article  Google Scholar 

  • Paris, S. G., & Newman, R. S. (1990). Developmental aspects of self-regulated learning. Educational Psychologist, 25, 87–102.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Patton, M. (2002). Qualitative research & evaluation methods. Thousand Oaks: Sage.

    Google Scholar 

  • Perry, N. E. (1998). Young children’s self-regulated learning and contexts that support it. Journal of Educational Psychology, 90, 715–729.

    Article  Google Scholar 

  • Perry, N. E., & Rahim, A. (2011). Studying self-regulated learning in a classrooms. In B. Zimmerman & D. Schunk (Eds.), Hand-book of self-regulation of learning and performance (pp. 122–135). New York: Routledge.

    Google Scholar 

  • Perry, N. E., & VandeKamp, K. J. O. (2000). Creating classroom contexts that support young children’s development of self-regulated learning. International Journal of Educational Research, 33(7–8), 821–843.

    Article  Google Scholar 

  • Perry, N. E., Thauberger, C., & Hutchinson, L. (2010). gStudy traces of children’ s self-regulated learning in the lifecycles learning kit. Psychological Test and Assessment Modeling, 52, 432–453.

    Google Scholar 

  • Perry, N. E., & Winne, P. H. (2006). Learning from Learning Kits: gStudy Traces of Students’ Self-Regulated Engagements with Computerized Content. Educational Psychology Review, 18(3), 211–228.

    Google Scholar 

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

    Google Scholar 

  • Pressley, M., Borkowski, J. G., & Schneider, W. (1987). Cognitive strategies: Good strategy users coordinate metacognition and knowledge. In R. Vasta & G. Whilehurst (Eds.), Annals of child development, 4 (pp. 80–129). Greenwich: JAI Press.

    Google Scholar 

  • Rabinowitz, M., Freeman, K., & Cohen, S. (1992). On the use and maintenance of strategies: the influence of accessibility to knowledge. Journal of Educational Psychology, 84, 211–218.

    Article  Google Scholar 

  • Schlagmüller, M., & Schneider, W. (2002). The Development of Organizational Strategies in Children: Evidence from a Microgenetic Longitudinal Study. Journal of Experimental Child Psychology, 81(3), 298–319.

    Google Scholar 

  • Schneider, W., & Sodian, B. (1997). Memory strategy development: Lessons from longitudinal research. Developmental Review, 17, 442–461

    Google Scholar 

  • Sockalingam, N., & Schmidt, H. (2013). Does the extent of problem familiarity influence students’ learning in problem-based learning? Instructional Science, 41, 921–932.

    Article  Google Scholar 

  • van Merriënboer, J. J. G., Kirschner, P. A., & Kester, L. (2003). Taking the load off a learner’s mind: instructional design for complex learning. Educational Psychologist, 38, 5–13.

    Article  Google Scholar 

  • Weinstein, C. E. (1988). Assesment and training of student learning strategies. In R. R. Schmeck (Ed.), Learning strategies and learning styles (pp. 229–271). New York: Plenum Press.

  • Weinstein, C. E., & Mayer, R. E. (1986). The teaching of learning strategies. In M. Wittrock (Ed.), Handbook of research on teaching (pp. 315–327). New York: Macmillan.

    Google Scholar 

  • Weinstein, C., Husman, J., & Dierking, R. (2000). Self-regulation interventions with a focus on learning strategies. In M. Boekarts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 728–744). Orlando: Academic.

    Google Scholar 

  • Weinstein, C. E., Acee, T. W., & Jung, J. (2011). Self-regulation and learning strategies. New Directions for Teaching & Learning, 126, 45–54.

    Article  Google Scholar 

  • Whitebread, D., Coltman, P., Pino Pasternak, D., Sangster, C., Grau, V., Bingham, S., Almeqdad, Q., & Demetriou, D. (2009). The development of two observational tools for assessing metacognition and self-regulated learning in young children. Metacognition Learning, 4, 63–85.

    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 (pp. 153–189). Mahwah: Lawrence Erlbaum Associates.

    Google Scholar 

  • Winne, P. H. (2010). Improving Measurements of Self-Regulated Learning. Educational Psychologist, 45(4), 267–276.

    Google Scholar 

  • Winne, P. H., & Baker, R. (2013). The potentials of educational data mining for researching metacognition, motivation and self-regulated learning. Journal of Educational Data Mining, 5(1), 1–8.

    Google Scholar 

  • Winne, P. H., & Hadwin, A. F. (1998). Studying as self-regulated learning. In D. Hacker, J. Dunlosky, & A. Graesser (Eds.), Metacognition in educational theory and practice (pp. 277–304). Mahwah: Lawrence Erlbaum.

    Google Scholar 

  • Winne, P. H., & Hadwin, A. F. (2008). The weave of motivation and self-regulated learning. In D. H. Schunk & B. J. Zimmerman (Eds.), Motivation and self-regulated learning: Theory, research, and applications (pp. 297–314). Mahwah, NJ: Lawrence Erlbaum Associates.

  • Winne, P. H., & Perry, N. E. (2000). Measuring self-regulated learning. In M. Boekaerts, P. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 532–566). San Diego: Academic.

    Google Scholar 

  • Winne, P. H., Nesbit, J. C., Kumar, V., Hadwin, A. F., Lajoie, S. P., & Azewedo, R. (2006). Supporting self-regulated learning with gStudy software: the LearningKit project. Cognition and Instruction, 3, 103–113.

    Google Scholar 

  • Winne, P. H., Zhou, R., & Egan, R. (2012). Designing assessments of self-regulated learning. In G. Schraw & D. R. Robinson (Eds.), Assessment of higher order thinking skills (pp. 89–120). Charlotte: IAP-Information Age Publishing.

    Google Scholar 

  • Zhou, M., & Winne, P. H. (2012). Modeling academic achievement by self-reported versus traced goal orientation. Learning and Instruction, 22(6), 413–419.

    Article  Google Scholar 

  • Zimmerman, B. J. (1998). Academic studying and the development of personal skill: a self-regulative perspective. Educational Psychologist, 33, 73–86.

    Article  Google Scholar 

  • Zimmerman, B. J. (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., & Schunk, D. (2011). Self-regulated learning and performance. An introduction and overview. In B. Zimmerman & D. Schunk (Eds.), Hand-book of self-regulation of learning and performance (pp. 1–12). New York: Routledge.

    Google Scholar 

Download references

Acknowledgements

This research was supported by the Doctoral Programme for Multidisciplinary Research on Learning Environments and Finnish Science Academy research project ADDRESS (Adaptive Motivation Regulation in Individual and Socially Shared Learning Situations).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jonna Malmberg.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Malmberg, J., Järvelä, S. & Kirschner, P.A. Elementary school students’ strategic learning: does task-type matter?. Metacognition Learning 9, 113–136 (2014). https://doi.org/10.1007/s11409-013-9108-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11409-013-9108-5

Keywords

Navigation