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Problem Solving by Agricultural Extension Students with Various Levels of Creativity through a Neurocognitive Lens

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  • Chaoyun Liang

    (Department of Bio-Industry Communication and Development, National Taiwan University, Taipei 10617, Taiwan)

Abstract

The cultivation of agricultural extension talent is key to sustainable agricultural development because it can help create unique economic relationships, add new knowledge and skills to traditional agriculture, identify marketing advantages in emerging markets, and promote the transition to a sustainable society. This study identified the activated brain regions and thought patterns of agricultural extension students when they performed numerical, spatial, and verbal intelligence tasks. The cerebral activity of the student participants was captured through electroencephalography to analyze their activated brain regions and thought patterns during the problemidentification and resolution-reaching phases. A total of 36 participants were recruited and divided into high-creativity (HC) and low-creativity groups to analyze differences in their thought patterns. The results indicated that numeric problem solving activated the frontoparietal network and was associated with a high level of self-generated thought. The function of evaluating creativity was inhibited in the HC group, and the participants engaged in divergent semantic processing during the numeric task. Spatial problem solving activated the frontal regions and was associated with intensive visual search tasks. The HC group exhibited suppressed creativity evaluation and analogical reasoning. Verbal problem solving activated the frontoparietal regions and was associated with verbal memory, semantic-based word processing, and self-generated thought. Creative associations in the verbal task were enhanced in the HC group. This study adopted innovative approaches to address a complex topic that has not been thoroughly investigated but is essential for the theoretical development of both neurocognitive science and agricultural sustainability.

Suggested Citation

  • Chaoyun Liang, 2022. "Problem Solving by Agricultural Extension Students with Various Levels of Creativity through a Neurocognitive Lens," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16371-:d:996750
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    References listed on IDEAS

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    1. Putri Yuanita & Hutkemri Zulnaidi & Effandi Zakaria, 2018. "The effectiveness of Realistic Mathematics Education approach: The role of mathematical representation as mediator between mathematical belief and problem solving," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-20, September.
    2. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
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    1. Kiryluk-Dryjska, Ewa & Rani, Anshu, 2023. "Neuroeconomic Studies In Agriculture And Food Economics: A Systematic Review Of Literature," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2023(4).

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