Skip to main content
Log in

The effects of part-task and whole-task instructional approaches on acquisition and transfer of a complex cognitive skill

  • Research Article
  • Published:
Educational Technology Research and Development Aims and scope Submit manuscript

Abstract

This study was designed to investigate the effects of two instructional approaches (whole-task versus part-task) and two levels of learner prior knowledge (lower versus higher) on learner acquisition and transfer of a complex cognitive skill. Participants were 51 undergraduate pre-service teachers. In the part-task condition, a complex skill (preparing a grade book using Excel) was decomposed into a series of smaller tasks, each of which was demonstrated and practiced separately. In the whole-task condition, which was based on the 4C/ID-model (van Merriënboer 1997), learners were exposed to the entire complex skill from the beginning of the instruction and were required to practice performing a series of whole tasks throughout the unit. Results indicated that the whole-task group performed significantly better than the part-task group on a skill acquisition test and a transfer test. Possible reasons for these findings and suggestions for future research are discussed.

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.

Similar content being viewed by others

References

  • Byrnes, J. P. (1996). Cognitive development and learning in instructional contexts. Boston: Allyn and Bacon.

    Google Scholar 

  • Carlson, R. A., Sullivan, M. A., & Schneider, W. (1989). Component fluency in a problem-solving context. Human Factors, 31, 489–502.

    Google Scholar 

  • Collins, A., Brown, J. S., & Newman, S. E. (1989). Cognitive apprenticeship: Teaching the craft of reading, writing and mathematics. In L. B. Resnick (Ed.), Knowing, learning, and instruction: Essays in honor of Robert Glaser (pp. 453–493). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Cormier S. M., & Hagman, J. D. (Eds.). (1987). Transfer of learning: Contemporary research and applications. San Diego: Academic Press.

    Google Scholar 

  • de Croock, M. B. M., Paas, F., Schlanbusch, H., & van Merriënboer, J. J. G. (2002). ADAPTit: Instructional design (ID) tools for training design and evaluation. Educational Technology, Research and Development, 50(4), 47–58.

    Article  Google Scholar 

  • Ebel, R. L. (1951). Estimation of the reliability of ratings. Psychometrika, 16, 407–424.

    Article  Google Scholar 

  • Gagné, R. (1970). The conditions of learning (2nd ed.). New York: Holt, Rinehart and Winston, Inc.

    Google Scholar 

  • Gopher, D., Weil, M., & Siegel, D. (1989). Practice under changing priorities: An approach to training of complex skills. Acta Psychologica, 71, 147–179.

    Article  Google Scholar 

  • Jonassen, D. (1999). Designing constructivist learning environments. In C. Reigeluth (Ed.), Instructional design theories and models: A new paradigm of instructional theory (Vol. II, pp. 215–239). Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Jonassen, D. H., & Rohrer-Murphy, L. (1999). Activity theory as a framework for designing constructivist learning environments. Educational Technology, Research and Development, 47(1), 61–79.

    Article  Google Scholar 

  • Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). The expertise reversal effect. Educational Psychologist, 38, 23–33.

    Article  Google Scholar 

  • Kalyuga, S., Chandler, P., & Sweller, J. (1998). Levels of expertise and instructional design. Human Factors, 40, 1–17.

    Article  Google Scholar 

  • Keller, J. M. (1987a). Strategies for stimulating the motivation to learn. Performance and Instruction, 26(8), 1–7.

    Article  Google Scholar 

  • Keller, J. M. (1987b). The systematic process of motivational design. Performance and Instruction, 26(9), 1–8.

    Article  Google Scholar 

  • Keller, J. M. (1993). Instructional material motivational survey. Unpublished manuscript, Florida State University, Tallahassee.

  • Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33, 159–174.

    Article  Google Scholar 

  • Merrill, M. D. (2002). First principles of instruction. Educational Technology, Research and Development, 50(3), 43–59.

    Article  Google Scholar 

  • Merrill, M. D. (2007). First principles of instruction: A synthesis. In R. A. Reiser & J. V. Dempsey (Eds.), Trends and issues in instructional design and technology (2nd ed., pp. 62–71). Upper Saddle River, NJ: Pearson.

    Google Scholar 

  • Owen, E., & Sweller, J. (1985). What do students learn while solving mathematics problems? Journal of Educational Psychology, 77, 272–284.

    Article  Google Scholar 

  • Paas, F., & van Merriënboer, J. J. G. (1994). Variability of worked examples and transfer of geometrical problem-solving skills: A cognitive-load approach. Journal of Educational Psychology, 86, 122–133.

    Article  Google Scholar 

  • Peck, A. C., & Detweiler, M. C. (2000). Training concurrent multistep procedural tasks. Human Factors, 42, 379–389.

    Article  Google Scholar 

  • Quilici, J. L., & Mayer, R. E. (1996). Role of examples in how students learn to categorize statistics word problems. Journal of Educational Psychology, 88, 144–161.

    Article  Google Scholar 

  • Schilling, M. A., Vidal, P., Ployhart, R. E., & Marangoni, A. (2003). Learning by doing something else: Variation, relatedness, and the learning curve. Management Science, 49, 39–56.

    Article  Google Scholar 

  • Shapiro, D. C., & Schmidt, R. C. (1982). The schema theory: Recent evidence and developmental implications. In J. A. S. Kelso & J. E. Clark (Eds.), The development of movement control and coordination (pp. 113–150). New York: John Wiley & Sons.

  • Singley, M. K., & Anderson, J. R. (1989). The transfer of cognitive skill. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Spector, J. M., & Anderson, T. M. (2000). Holistic and integrated perspectives on learning, technology, and instruction: Understanding complexity. Mahwah, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12, 257–285.

    Article  Google Scholar 

  • Sweller, J., & Levine, M. (1982). Effects of goal specificity on means-ends analysis and learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 8, 463–474.

    Article  Google Scholar 

  • Thalheimer, W., & Cook, S. (2002, August). How to calculate effect sizes from published research articles: A simplified methodology. Retrieved August 8, 2007, from http://work-learning.com/effect_sizes.htm.

  • Tuovinen, J., & Sweller, J. (1999). A comparison of cognitive load associated with discovery learning and worked examples. Journal of Educational Psychology, 91, 334–341.

    Article  Google Scholar 

  • van Merriënboer, J. J. G. (1997). Training complex cognitive skills. Englewood Cliffs, NJ: Educational Technology Publications.

    Google Scholar 

  • van Merriënboer, J. J. G. (2007). Alternate models of instructional design: Holistic design approaches and complex learning. In R. A. Reiser & J. V. Dempsey (Eds.), Trends and issues in instructional design and technology (2nd ed., pp. 72–81). Upper Saddle River, NJ: Pearson.

    Google Scholar 

  • van Merriënboer J. J. G., & de Croock, M. B. M. (1992). Strategies for computer-based programming instruction: Program completion versus program generation. Journal of Educational Computing Research, 8, 365–394.

    Article  Google Scholar 

  • van Merriënboer J. J. G., & Kirschner, P. A. (2001). Three worlds of instructional design: State of the art and future directions. Instructional Science, 29, 429–441.

    Article  Google Scholar 

  • van Merriënboer, J. J. G., & Kirschner, P. A. (2007). Ten steps to complex learning. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.

    Google Scholar 

  • van Merriënboer, J. J. G., Clark, R. E., & de Croock, M. B. M. (2002). Blueprints for complex learning: The 4C/ID-model. Educational Technology Research and Development, 50(2), 39–64.

    Article  Google Scholar 

  • van Merriënboer, J. J. G., Kester, L., & Paas, F. (2006). Teaching complex rather than simple tasks: Balancing intrinsic and germane load to enhance transfer of learning. Applied Cognitive Psychology, 20, 343–352.

    Article  Google Scholar 

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

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank Jeroen van Merriënboer for his suggestions regarding the design of the whole-task instructional approach employed in this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jung Lim.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lim, J., Reiser, R.A. & Olina, Z. The effects of part-task and whole-task instructional approaches on acquisition and transfer of a complex cognitive skill. Education Tech Research Dev 57, 61–77 (2009). https://doi.org/10.1007/s11423-007-9085-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11423-007-9085-y

Keywords

Navigation