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Working Memory Resource Depletion Effect in Academic Learning: Steps to an Integrated Approach

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Human Mental Workload: Models and Applications (H-WORKLOAD 2020)

Abstract

Learning at school requires cognitive effort. Optimizing these efforts is one of the keys to academic learning achievement. Many controlled experiments, for example within the cognitive load theory framework, have identified the factors that impact this optimization. The temporal dimension of this optimization was evoked in 2018: certain academic learning tasks could exhaust students, resulting on learning impairing. The hypothesis of Sweller and other authors from cognitive load theory is that working memory resources would be depleted during a demanding learning task. The authors point out that this depletion of working memory resources could explain a famous effect in learning literature: the massed/spaced effect. But these authors do not say: What mechanisms govern this exhaustion? How can this depletion be measured? The working memory resource depletion effect project proposes to answer these questions. Our aim is to present this project, its objectives, method and the first results.

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Notes

  1. 1.

    The ego depletion effect has been much studied, often replicated [6], but the replication of the Sripada, Kessler and Jonides’ experiment [7] by 23 labs (N = 2141) failed to obtain the ego depletion effect [8]. Another replication study by 12 labs (N = 1775) obtained a small but significant ego depletion effect [9]. A meta-analysis [10] shows that the ego-depletion is obtained under certain conditions (emotion videos) and not obtained under others conditions (attention videos). More recent meta-analyses also show a negative effect of ego depletion on subsequent physical endurance performance [11] [12].

  2. 2.

    It is well known that simultaneous translation tasks are very demanding and exhausting [37], but we decided to begin our set of experiments with a second language transcription task because it is easier to objectively evaluate the performance. We previously developed methods and measure to evaluate performance and cognitive load in second language speech comprehension tasks [38].

References

  1. Sweller, J., van Merriënboer, J. Paas, F.: Cognitive architecture and instructional design: 20 years later. Ed. Psy. Rev. 1–32 (2019)

    Google Scholar 

  2. Chen, O., Castro-Alonso, J.C., Paas, F., Sweller, J.: Extending cognitive load theory to incorporate working memory resource depletion: evidence from the spacing effect. Educ. Psychol. Rev. 30, 483–501 (2018)

    Article  Google Scholar 

  3. Leahy, W., Sweller, J.: Cognitive load theory, resource depletion and the delayed testing effect. Educ. Psychol. Rev. 1–22 (2019)

    Google Scholar 

  4. Barrouillet, P., Camos, V.: Working Memory: Loss and Reconstruction. Psychology Press (2015)

    Google Scholar 

  5. Baumeister, R.F., Bratslavsky, E., Muraven, M., Tice, D.M.: Ego depletion: Is the active self a limited resource? J. Pers. Soc. Psychol. 74, 1252 (1998)

    Google Scholar 

  6. Baumeister, R.F., Tice, D.M., Vohs, K.D.: The strength model of self-regulation: conclusions from the second decade of willpower research. Perspect. Psychol. Sci. 13, 141–145 (2018)

    Article  Google Scholar 

  7. Sripada, C., Kessler, D., Jonides, J.: Methylphenidate blocks effort-induced depletion of regulatory control in healthy volunteers. Psychol. Sci. 25(6), 1227–1234 (2014)

    Article  Google Scholar 

  8. Hagger, M.S., et al.: A multilab preregistered replication of the ego-depletion effect. Perspect. Psychol. Sci. 11(4), 546–573 (2016)

    Article  Google Scholar 

  9. Dang, J., et al.: Multi-lab replication reveals a small but significant ego depletion effect (2019). https://psyarxiv.com/cjgru

  10. Dang, J.: An updated meta-analysis of the ego depletion effect. Psychol. Res. 82(4), 645–651 (2017). https://doi.org/10.1007/s00426-017-0862-x

    Article  Google Scholar 

  11. Giboin, L.S., Wolff, W.: The effect of ego depletion or mental fatigue on subsequent physical endurance performance: a meta-analysis. Perf. Enh. Health 7, 100150 (2019)

    Google Scholar 

  12. Brown, D.M.Y., Bray, S.R.: Effects of mental fatigue on physical endurance performance and muscle activation are attenuated by monetary incentives. J. Sport Exer. Psychol. 39, 385–396 (2017)

    Article  Google Scholar 

  13. Baumeister, R.F., Vohs, K.D., Tice, D.M.: The strength model of self-control. Curr. Direct. Psychol. Sci. 16, 351–355 (2007)

    Article  Google Scholar 

  14. Inzlicht, M., Berkman, E.: Six questions for the resource model of control (and some answers). Soc. Pers. Psychol. Compass 9(10), 511–524 (2015)

    Article  Google Scholar 

  15. Martin, K., Meeusen, R., Thompson, K.G., Keegan, R., Rattray, B.: Mental fatigue impairs endurance performance: a physiological explanation. Sports Med. 48, 2041–2051 (2018)

    Article  Google Scholar 

  16. André, N., Audiffren, M., Baumeister, R.: An integrative model of effortful control. Front. Syst. Neurosci. 13, 79 (2019)

    Article  Google Scholar 

  17. Puma, S., Matton, N., Paubel, P.-V., Tricot, A.: Cognitive Load theory and time variations: using the Time-Based Resource Sharing model. Ed. Psy. Rev. 30, 1199–1214 (2018)

    Google Scholar 

  18. Puma, S., Tricot, A.: Cognitive load theory and working memory models. Comings and goings. In: Advances in Cognitive Load Theory, pp. 41–52. Routledge (2019)

    Google Scholar 

  19. Mallat, C., Cegarra, J. Calmettes, J.-C., Capa, R.: Curvilinear effect of mental workload on mental effort and behavioral adaptability: an approach with the pre-ejection period. Human Factors (2019)

    Google Scholar 

  20. Capa, R., Bouquet, C., Dreher, J., Dufour, A.: Long-lasting effects of performance-contingent unconscious and conscious reward incentives during cued task-switching. Cortex 49, 1943–1954 (2013)

    Article  Google Scholar 

  21. Puma, S., Matton, N., Paubel, P.-V., El-Yagoubi, R., Tricot, A.: Time Based Resource Sharing model as a mean to improve cognitive load measurement. In: 10th International Cognitive Load Theory Conference, 20–22, Wollongong, Australia (2017)

    Google Scholar 

  22. Kintsch, W., Welsch, D., Schmalhofer, F., Zimny, S.: Sentence memory: a theoretical analysis. J. Memory Lang. 29, 133–159 (1990)

    Article  Google Scholar 

  23. Massar, S.A.A., Wester, A.E., Volkerts, E.R., Kenemans, L.: Manipulation specific effects of mental fatigue: evidence from novelty processing and simulated driving. Psychophysiology 47, 1119–1126 (2010)

    Google Scholar 

  24. Yaple, Z.A., Stevens, W.D., Arsalidou, M.: Meta-analyses of the n-back working memory task: fMRI evidence of age-related changes in prefrontal cortex involvement across the adult lifespan. NeuroImage 196, 16–31 (2019)

    Article  Google Scholar 

  25. Hopstaken, J., Linden, D., Bakker, A., Kompier, M.: A multifaceted investigation of the link between mental fatigue and task disengagement. Psychophysiology 52, 305–315 (2015)

    Article  Google Scholar 

  26. Capa, R., Audiffren, M.: How does achievement motivation influence mental effort mobilization? Int. J. Psychophysiol. 74, 236–242 (2009)

    Article  Google Scholar 

  27. Capa, R., Audiffren, M., Ragot, S.: The effects of achievement motivation, task difficulty, and goal difficulty on physiological, behavioral, and subjective effort. Psychophysiology 45, 859–868 (2008)

    Google Scholar 

  28. Capa, R.L., Audiffren, M., Ragot, S.: The interactive effect of achievement motivation and task difficulty on mental effort. Int. J. Psychophysiol. 70, 144–150 (2008)

    Article  Google Scholar 

  29. Pintrich, P.R.: A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ) (1991)

    Google Scholar 

  30. Fisk, J.D., Ritvo, P.G., Ross, L., Haase, D.A., Marrie, T.J., Schlech, W.F.: Measuring the functional impact of fatigue: initial validation of the fatigue impact scale. Clin. Infectious Diseases 18(Supplement_1), S79–S83 (1994)

    Article  Google Scholar 

  31. Leppink, J., Paas, F., Van der Vleuten, C.P.M., Van Gog, T., Van Merriënboer, J.J.G.: Development of an instrument for measuring different types of cognitive load. Behav. Res. Methods 45(4), 1058–1072 (2013). https://doi.org/10.3758/s13428-013-0334-1

    Article  Google Scholar 

  32. Richter, M., Gendolla, G.H., Wright, R.A.: Three decades of research on motivational intensity theory: what we have learned about effort and what we still don’t know. In: Advances in Motivation Science, pp. 149–186. Elsevier

    Google Scholar 

  33. Wongupparaj, P., Sumich, A., Wickens, M., Kumari, V., Morris, R.G.: Individual differences in working memory and general intelligence indexed by P200 and P300: a latent variable model. Biol. Psychol. 139, 96–105 (2018)

    Article  Google Scholar 

  34. Lakatos, P., Shah, A.S., Knuth, K.H., Ulbert, I., Karmos, G., Schroeder, C.E.: An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex. J. Neurophysiol. 94, 1904–1911 (2005)

    Article  Google Scholar 

  35. Mitchell, D.J., McNaughton, N., Flanagan, D., Kirk, I.J.: Frontal-midline theta from the perspective of hippocampal “theta”. Prog. Neurobiol. 86, 156–185 (2008)

    Article  Google Scholar 

  36. Fairclough, S.H., Ewing, K.: The effect of task demand and incentive on neurophysiological and cardiovascular markers of effort. Int. J. Psychophy. 119, 58–66 (2017)

    Article  Google Scholar 

  37. Seeber, K.G., Kerzel, D.: Cognitive load in simultaneous interpreting: mmeets data. Int. J. Bilingualism 16(2), 228–242 (2012)

    Article  Google Scholar 

  38. Roussel, S.: A computer assisted method to track listening strategies in second language learning. ReCALL 23(2), 98–116 (2011)

    Article  Google Scholar 

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Acknowledgment

The WM-RDE project is funded by ANR, the French national agency for research.

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Correspondence to André Tricot .

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Tricot, A. et al. (2020). Working Memory Resource Depletion Effect in Academic Learning: Steps to an Integrated Approach. In: Longo, L., Leva, M.C. (eds) Human Mental Workload: Models and Applications. H-WORKLOAD 2020. Communications in Computer and Information Science, vol 1318. Springer, Cham. https://doi.org/10.1007/978-3-030-62302-9_2

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  • DOI: https://doi.org/10.1007/978-3-030-62302-9_2

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