Skip to main content
Log in

A motivational perspective on the relation between mental effort and performance: Optimizing learner involvement in instruction

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

Abstract

Motivation can be identified as a dimension that determines learning success and causes the high dropout rate among online learners, especially in complex e-learning environments. It is argued that these learning environments represensent a new challenge to cognitive load researchers to investigate the motivational effects of instructional conditions and help instructional designers to predict which instructional configurations will maximize learning and transfer. Consistent with the efficiency perspective introduced by Paas and Van Merriënboer (1993), an alternative motivational perspective of the relation between mental effort and performance is presented. We propose a procedure to compute and visualize the differential effects of instructional conditions on learner motivation, and illustrate this procedure on the basis of an existing data set. Theoretical and practical implications of the motivational perspective 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

  • Bandura, A. (1982). Self-efficacy mechanisms in human agency.American Psychologist, 37, 122–147.

    Article  Google Scholar 

  • Button, S. B., Mathieu, J. E., & Zajac, D. M. (1996). Goal orientation in organizational research: A conceptual and empirical foundation.Organizational Behavior & Human Decision Processes, 67, 26–48.

    Article  Google Scholar 

  • Camp, G., Paas, F., Rikers, R., & van Merriënboer, J. J. G. (2001). Dynamic problem selection in air traffic control training: A comparison between performance, mental effort and mental efficiency.Computers in Human Behavior, 17, 575–595.

    Article  Google Scholar 

  • Cennamo, K.S. (1993). Learning from video: Factors influencing learners' preconceptions and invested mental effort.Educational Technology Research and Development, 41(3), 33–45.

    Article  Google Scholar 

  • Deweck, C. S., & Leggett, E. L. (1988). A social-cognitive approach to motivation and personality.Psychological Review, 95, 256–273.

    Article  Google Scholar 

  • Fisher, F. L., & Ford, J. K. (1998). Differential effects of learner effort and goal orientation on two learning outcomes.Personnel Psychology, 51, 397–420.

    Google Scholar 

  • Ford, J. K., Smith, E. M., Weissbein, D. A., Gully, S. M., & Salas, E. (1998). Relationships of goal orientation, metacognitive activity, and practice strategies with learning outcomes and transfer.Journal of Applied Psychology, 83, 218–233.

    Article  Google Scholar 

  • Frankola, K. (2001). Why online learners drop out.Workforce, 80, 53–60.

    Google Scholar 

  • Holladay, C. L., & Quinones, M. A. (2003). Practice variability and transfer of training: The role of self-efficacy generality.Journal of Applied, Psychology, 88, 1094–1103.

    Article  Google Scholar 

  • Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). The experties reversal effect.Educational Psychologist 38, 23–31.

    Article  Google Scholar 

  • Kalyuga, S., Chandler, P., & Sweller, J. (2001). Learner experience and efficiency of instructional guidance.Educational Psychology, 21, 5–23.

    Article  Google Scholar 

  • Kalyuga, S., Chandler, P., Tuovinen, J., & Sweller, J. (2001). When problem solving is superior to studying worked examples.Journal of Educational Psychology, 93, 579–588.

    Article  Google Scholar 

  • Kalyuga, S., & Sweller, J. (2005). Rapid dynamic assessment of expertise to improve the efficiency of adaptive e-learning. [This special issue].Educational Technology Research and Development, 53(3), 83–93.

    Article  Google Scholar 

  • Kanfer, R., & Ackerman, P. L. (1989). Motivation and cognitive abilities: An integrative/aptitude-treatment interaction approach to skill acquisition.Journal of Applied Psychology, 74, 657–690.

    Article  Google Scholar 

  • Keller, J. M. (1983). Motivational design of instruction. In C.M. Reigeluth (Ed.),Instructional-design theories and models: An overview of their current status (pp. 383–434). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Keller, J. M. (1999).Handbook of human performance technology (2nd ed.), San Francisco, CA: Jossey-Bass.

    Google Scholar 

  • McAuley, E., Wraith, S., & Duncan, T. E. (1991). Self-efficacy, perception of success, and intrinsic motivation for exercise.Journal of Applied Social Psychology, 21, 139–155.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Paas, F. (1992). Training strategies for attaining transfer of problem-solving skill in statistics: A cognitiveload approach.Journal of Educational Psychology, 84, 429–434.

    Article  Google Scholar 

  • Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design: Recent developments.Educational Psychologist, 38, 1–4.

    Article  Google Scholar 

  • Paas, F., Renkl, A., & Sweller, J. (2004) Cognitive load theory: Instructional implications of the interaction between information structures and cognitive architecture.Instructional Science, 32, 1–8.

    Article  Google Scholar 

  • Paas, F., Tuovinen, J., Tabbers, H., & van Gerven, P. W. M. (2003). Cognitive load measurement as a means to advance cognitive load theory.Educational Psychologist, 38, 63–71.

    Article  Google Scholar 

  • Paas, F., & van Merriënboer, J. J. G. (1993). The efficiency of instructional conditions: An approach to combine mental effort and performance measures.Human Factors, 35, 737–743.

    Google Scholar 

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

    Article  Google Scholar 

  • Paas, F., & van Merriënboer, J. J. G. (1994b). Instructional control of cognitive load in the training of complex cognitive tasks.Educational Psychology Review, 6, 51–71.

    Article  Google Scholar 

  • Pintrich, P. R., & Schrauben, B. (1992). Students' motivational beliefs and their cognitive engagement in classroom academic tasks. In D. H. Schunk & J. L. Meece (Eds.),Student perceptions in the classroom (pp. 149–183). Hillsdale, NJ: Erlbaum.

    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 

  • Salden, R. J. C. M., Paas, F., Broers, N., & van Merriënboer, J. J. G. (2004). Mental effort and performance as determinants for the dynamic selection of learning tasks in air-traffic control training.Instructional Science, 32, 153–172.

    Article  Google Scholar 

  • Salomon, G. (1983). The differential investment of mental effort in learning from different sources.Educational Psychologist, 18, 42–50.

    Google Scholar 

  • Salomon, G. (1984). Television is “easy” and print is “tough”: The differential investment of mental effort as a function of perceptions and attributions.Journal of Educational Psychology, 76, 647–658.

    Article  Google Scholar 

  • Song, S. H., & Keller, J. M. (2001). Effectiveness of motivationally adaptive computer-assisted instruction on the dynamic aspects of motivation.Educational Technology Research and Development, 49(2), 5–22.

    Article  Google Scholar 

  • Steele-Johnson, D., Beauregard, R. S., Hoover, P. B., & Schmidt, A. M. (2000). Goal orientation and task demand effects on motivation, affect, and performance.Journal of Applied Psychology, 85, 724–738.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Sweller, J. (1999).Instructional design in technical areas. Melbourne, Australia: ACER Press.

    Google Scholar 

  • Sweller, J., van Merriënboer, J. J. G., & Paas, F. (1998). Cognitive architecture and instructional design.Educational Psychology Review, 10, 251–296.

    Article  Google Scholar 

  • Tuovinen, J., & Paas, F. (2004). Exploring multidimensional approaches to the efficiency of instructional conditions.Instructional Science, 32, 133–152.

    Article  Google Scholar 

  • Tuovinen, J. E., & 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 Gerven, P. W. M., Paas, F., van Merriënboer, J. J. G., Hendriks, M., & Schmidt, H. G. (2003). The efficiency of multimedia training into old age.British Journal of Educational Psychology, 73, 489–505.

    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 

  • van Merriënboer, J. J. G., Schuurman, J. G., de Croock, M. B. M., & Paas, F. (2002). Redirecting learners' attention during training: Effects on cognitive load, transfer test performance and training efficiency.Learning and Instruction, 12, 11–37.

    Article  Google Scholar 

  • van Merriënboer, J. J. G., & Sweller, J. (2005). Cognitive load theory and complex learning: Recent developments and future directions.Educational Psychology Review, 17(2), 147–177.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fred Paas.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Paas, F., Tuovinen, J.E., van Merriënboer, J.J.G. et al. A motivational perspective on the relation between mental effort and performance: Optimizing learner involvement in instruction. ETR&D 53, 25–34 (2005). https://doi.org/10.1007/BF02504795

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02504795

Keywords

Navigation