Mathematical problem solving is modulated by word priming

  • Chuanlin Zhu , 1 ,
  • Zhao Zhang 2 ,
  • Xiaoli Lyu 3 ,
  • Yun Wang 4 ,
  • Dianzhi Liu 5 ,
  • Wenbo Luo , 6,7
Expand
  • 1. School of Educational Science, Yangzhou University, Yangzhou, China
  • 2. Institute of Psychology, Weifang Medical University, Weifang, China
  • 3. Affiliated WuTaiShan Hospital of Medical College of Yangzhou University, Yangzhou, China
  • 4. School of Foreign Languages, Suzhou University of Science and Technology, Suzhou, China
  • 5. School of Education, Soochow University, Suzhou, China
  • 6. Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China
  • 7. Key Laboratory of Brain and Cognitive Neuroscience, Dalian, China
psyclzhu@yzu.edu.cn
luowb@lnnu.edu.cn

Received date: 25 May 2023

Accepted date: 18 Dec 2023

Published date: 20 Mar 2024

Copyright

2024 2024 The Authors. PsyCh Journal published by Institute of Psychology, Chinese Academy of Sciences and John Wiley & Sons Australia, Ltd.

Abstract

This study aimed to explore the influence of word priming on mathematical problem solving. In two experiments, participants were required to finish multiplication estimation tasks with a specified estimation strategy under different word priming conditions (Experiment 1: concrete words vs. Experiment 2: abstract words). The results showed that: (1) under the concrete word priming condition, in comparison to neutral, positive word priming improved accuracies (ACCs) when using a down-up strategy (e.g., doing 40 × 80 = 3200 for 43 × 78), while both positive and negative word priming reduced reaction time (RT); (2) under the abstract word priming condition, both positive and negative (vs. neutral) abstract word priming reduced RTs, while individuals’ ACCs of completing the estimation task were not influenced by valence. The present study showed that whether concrete words or abstract words were adopted as experimental stimuli, participants’ performance of completing mathematical problems was modulated by the valence of the priming word, which led us to develop a better understanding of how arithmetic performance is influenced by word processing.

Cite this article

Chuanlin Zhu , Zhao Zhang , Xiaoli Lyu , Yun Wang , Dianzhi Liu , Wenbo Luo . Mathematical problem solving is modulated by word priming[J]. Psych Journal, 2024 , 13(3) : 465 -476 . DOI: 10.1002/pchj.732

1
Ai, J., Yang, J., Zhang, T., Si, J., & Liu, Y. (2017). The effect of central executive load on fourth and sixth Graders' use of arithmetic strategies. Psychologica Belgica, 57(2), 154–172.

DOI

2
Andrews, M., Vigliocco, G., & Vinson, D. (2009). Integrating experiential and distributional data to learn semantic representations. Psychological Review, 116(3), 463–498.

DOI

3
Bai, L., Ma, H., Huang, Y., & Luo, Y. (2005). The development of native chinese affective picture system–A pretest in 46 College Students. Chinese Mental Health Journal, 19(11), 719–722.

4
Campbell, J. I. D., & Thompson, V. A. (2012). MorePower 6.0 for ANOVA with relational confidence intervals and Bayesian analysis. Behavior Research Methods, 44, 1255–1265.

DOI

5
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Lawrence Earlbaum Associates.

6
Fabre, L., & Lemaire, P. (2019). How emotions modulate arithmetic performance: A study in arithmetic problem verification tasks. Experimental Psychology, 66(5), 368–376.

DOI

7
Fabre, L., Melani, P., & Lemaire, P. (2022). How negative emotions affect young and older adults' numerosity estimation performance. Quarterly Journal of Experimental Psychology (Hove), 76(5), 1098–1110.

DOI

8
Fan, C., Chen, S., Zhang, L., Qi, Z., Jin, Y., Wang, Q., Luo, Y., Li, H., & Luo, W. (2015). N170 changes reflect competition between faces and identifiable characters during early visual processing. NeuroImage, 110, 32–38.

DOI

9
Fredrickson, B. L. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist, 56(3), 218–226.

DOI

10
Fredrickson, B. L., & Branigan, C. (2005). Positive emotions broaden the scope of attention and thought-action repertoires. Cognition and Emotion, 19(3), 313–332.

DOI

11
Gong, X., Huang, Y., Wang, Y., & Luo, Y. (2011). Revision of the Chinese facial affective picture system. Chinese Mental Health Journal, 25(1), 40–46.

DOI

12
Hinault, T., Dufau, S., & Lemaire, P. (2014). Sequential modulations of poorer-strategy effects during strategy execution: An event-related potential study in arithmetic. Brain and Cognition, 91, 123–130.

DOI

13
Hinault, T., & Lemaire, P. (2016). What does EEG tell us about arithmetic strategies? A review. International Journal of Psychophysiology, 106, 115–126.

DOI

14
Hinault, T., & Lemaire, P. (2017). Aging and list-wide modulations of strategy execution:A study in arithmetic. Experimental Aging Research, 43(4), 323–336.

DOI

15
Lallement, C., & Lemaire, P. (2021). Age-related differences in how negative emotions influence arithmetic performance. Cognition and Emotion, 35(7), 1382–1399.

DOI

16
Lemaire, P. (2021). Effects of prior-task failure on arithmetic performance: A study in young and older adults. Memory & Cognition, 49, 1236–1246.

DOI

17
Lemaire, P. (2022). Emotions and arithmetic in children. Scientific Reports, 12, 20702.

DOI

18
Lemaire, P., & Brun, F. (2018). Effects of prior-task success on young and older Adults' cognitive performance an evaluation of the strategy hypothesis. Journal of Cognition, 1(1), 1–14.

DOI

19
Lemaire, P., Gouraud, J., & Nicolas, P. (2019). When older adults outperform young adults: Effects of prior-task success in arithmetic. Gerontology, 65(6), 649–658.

DOI

20
Li, M., Tan, Y., Cui, J., Chen, C., Dong, Q., & Zhou, X. (2019). The semantic network supports approximate computation. Neuropsychology, 33(6), 842–854.

DOI

21
Li, S., Zhu, X., Ding, R., Ren, J., & Luo, W. (2019). The effect of emotional and self-referential contexts on ERP responses towards surprised faces. Biological Psychology, 146, 107728.

DOI

22
Liu, D., Wang, Y., Lu, F., Shu, D., Zhang, J., Zhu, C., & Luo, W. (2021). Emotional valence modulates arithmetic strategy execution in priming paradigm: An event-related potential study. Experimental Brain Research, 239(4), 1151–1163.

DOI

23
Liu, J., Yuan, L., Chen, C., Cui, J., Zhang, H., & Zhou, X. (2019). The semantic system supports the processing of mathematical principles. Neuroscience, 404, 102–118.

DOI

24
Luo, W., Feng, W., He, W., Wang, N., & Luo, Y. (2010). Three stages of facial expression processing: ERP study with rapid serial visual presentation. NeuroImage, 49(2), 1857–1867.

DOI

25
Luo, W., Liu, D., He, W., Tao, W., & Luo, Y. (2009). Dissociated brain potentials for two calculation strategies. Neuroreport, 20(4), 360–364.

DOI

26
Luo, W., & Qi, Z. (2022). The influence of concreteness on emotional nouns valence processing: An ERP study. Acta Psychologica Sinica, 54(2), 111–121.

DOI

27
Muluh, E. T., Vaughan, C. L., & John, L. R. (2011). High resolution event-related potentials analysis of the arithmetic-operation effect in mental arithmetic. Clinical Neurophysiology, 122(3), 518–529.

DOI

28
Sabater, L., Ponari, M., Haro, J., Fernández-Folgueiras, U., Moreno, E. M., Pozo, M. A., Ferré, P., & Hinojosa, J. A. (2022). The acquisition of emotion-laden words from childhood to adolescence. Current Psychology, 42, 29280–29290.

DOI

29
Schacht, A., & Sommer, W. (2009). Emotions in word and face processing: Early and late cortical responses. Brain and Cognition, 69, 538–550.

DOI

30
Schindler, S., & Kissler, J. (2016). Selective visual attention to emotional words: Early parallel frontal and visual activations followed by interactive effects in visual cortex. Human Brain Mapping, 37, 3575–3587.

DOI

31
Taillan, J., Ardiale, E., Anton, J.-L., Nazarian, B., Félician, O., & Lemaire, P. (2015). Processes in arithmetic strategy selection: A fMRI study. Frontiers in Psychology, 6, 61.

DOI

32
Uittenhove, K., & Lemaire, P. (2012). Sequential difficulty effects during strategy execution. Experimental Psychology, 59(5), 295–301.

DOI

33
Vieillard, S., & Bigand, E. (2014). Distinct effects of positive and negative music on older adults' auditory target identification performances. The Quarterly Journal of Experimental Psychology, 67(11), 2225–2238.

DOI

34
Vigliocco, G., Kousta, S.-T., Della Rosa, P. A., Vinson, D. P., Tettamanti, M., Devlin, J. T., & Cappa, S. F. (2014). The neural representation of abstract words: The role of emotion. Cerebral Cortex, 24, 1767–1777.

DOI

35
Wang, Y., Zhou, L., & Luo, Y. (2008). The pilot establishment and evaluation of Chinese affective words system. Chinese Mental Health Journal, 22(8), 608–612.

36
Wu, C., Zhang, J., & Yuan, Z. (2020). Affective picture processing is modulated by emotion word type in masked priming paradigm: An event-related potential study. Journal of Cognitive Psychology, 32(3), 287–297.

DOI

37
Wu, C., Zhang, J., & Yuan, Z. (2021). Exploring affective priming effect of emotion-label words and emotion-laden words: An event-related potential study. Brain Sciences, 11(5), 553.

DOI

38
Xiao, X., Zhao, D., Zhang, Q., & Guo, C. (2012). Retrieval of concrete words involves more contextual information than abstract words: Multiple components for the concreteness effect. Brain & Language, 120, 251–258.

DOI

39
Yang, W., Zhang, T., Li, H., Zhang, J., & Si, J. (2018). The effect of central executive load on strategy utilization of computational estimation in children with mathematics learning difficulties. Acta Psychologica Sinica, 50(5), 504–516.

DOI

40
Yao, Z., & Wang, Z. (2013). The effects of the concreteness of differently valenced words on affective priming. Acta Psychologica, 143, 269–276.

DOI

41
Yao, Z., Wu, J., Zhang, Y., & Wang, Z. (2017). Norms of valence, arousal, concreteness, familiarity, imageability, and context availability for 1,100 Chinese words. Behavior Research Methods, 49(4), 1374–1385.

DOI

42
Yao, Z., Yu, D., Wang, L., Zhu, X., Guo, J., & Wang, Z. (2016). Effects of valence and arousal on emotional word processing are modulated by concreteness: Behavioral and ERP evidence from a lexical decision task. International Journal of Psychophysiology, 110, 231–242.

DOI

43
Yi, S., He, W., Zhan, L., Qi, Z., Zhu, C., Luo, W., & Li, H. (2015). Emotional noun processing: An ERP study with rapid serial visual presentation. PLoS One, 10(3), e0118924.

DOI

44
Zhang, D., He, W., Wang, T., Luo, W., Zhu, X., Gu, R., Li, H., & Luo, Y. (2014). Three stages of emotional word processing: An ERP study with rapid serial visual presentation. Social Cognitive and Affective Neuroscience, 9(12), 1897–1903.

DOI

45
Zhang, H., Wang, Y., Hu, D., Li, H., & Si, J. (2015). Central executive components and Individual's arithmetic strategy use with field-dependence/field-Independence cognitive style: An eye movement study. Psychological Research, 8(1), 43–51.

46
Zhang, J., Li, L. W., & McLaughlin, S. J. (2022). Psychological well-being and cognitive function among older adults in China: A population-based longitudinal study. Journal of Aging and Health, 34(2), 173–183.

DOI

47
Zhang, J., Wu, C., Yuan, Z., & Meng, Y. (2019). Differentiating emotion-label words and emotion-laden words in emotion conflict: An ERP study. Experimental Brain Research, 237, 2423–2430.

DOI

48
Zhang, Q., Liu, X., An, W., Yang, Y., & Wang, Y. (2015). Recognition memory of neutral words can be impaired by task-irrelevant emotional encoding contexts: Behavioral and electrophysiological evidence. Frontiers in Human Neuroscience, 9, 73.

DOI

49
Zhao, N., Valcke, M., Desoete, A., Burny, E., & Imbo, I. (2014). Differences between Flemish and Chinese primary students' mastery of basic arithmetic operations. Educational Psychology, 34(7), 818–837.

DOI

50
Zhou, X., Li, M., Li, L., Zhang, Y., Cui, J., Liu, J., & Chen, C. (2018). The semantic system is involved in mathematical problem solving. NeuroImage, 166, 360–370.

DOI

51
Zhu, C., He, W., Qi, Z., Wang, L., Song, D., Zhan, L., Yi, S., Luo, Y., & Luo, W. (2015). The time course of emotional picture processing: An event-related potential study using a rapid serial visual presentation paradigm. Frontiers in Psychology, 6, 954.

DOI

52
Zhu, C., Jiang, Y., Li, P., Lu, F., Wang, Y., Zhao, Y., & Liu, D. (2021). Implicit happy and fear experience contributes to computational estimation strategy execution: Behavioral and neurophysiological evidence. Neuropsychologia, 159, 107959.

DOI

53
Zhu, C., Jiang, Y., Wang, Y., Liu, D., & Luo, W. (2021). Arithmetic performance is modulated by cognitive reappraisal and expression suppression: Evidence from behavioral and ERP findings. Neuropsychologia, 162, 108060.

DOI

54
Zhu, C., Li, P., Li, Y., Jiang, Y., Liu, D., & Luo, W. (2022). Implicit emotion regulation improves arithmetic performance: An ERP study. Cognitive, Affective, & Behavioral Neuroscience, 22, 574–585.

DOI

55
Zhu, C., Zhao, X., Han, X., Wang, Y., Liu, D., & Luo, W. (2022). Estimation strategy selection is modulated by snapshot emotional priming, but not math anxiety. International Journal of Environmental Research and Public Health, 19(16), 10268.

DOI

56
Zhu, C., Zhao, X., Lu, F., Wang, Y., Zhao, Y., Kou, D., Liu, D., & Luo, W. (2023). Estimation strategy utilization is modulated by implicit emotion regulation: Evidence from behavioral and event-related potentials studies. Brain Sciences, 13(1), 77.

DOI

Options
Outlines

/