Neurocognitive evidence for different problem-solving processes between engineering and liberal arts students; [Evidencias neurocognitivas para diferentes procesos de resolución de problemas entre estudiantes de ingeniería y de artes liberales]
Liu Y.-C.; Liang C.
2020
International Journal of Educational Psychology
3
10.17583/ijep.2020.3940
Differences exist between engineering and liberal arts students because of their educational backgrounds. Therefore, they solve problems differently. This study examined the brain activation of these two groups of students when they responded to 12 questions of verbal, numerical, or spatial intelligence. A total of 25 engineering and 25 liberal arts students in Taiwan participated in the experiment. The results were as follows. (i) During verbal intelligence tasks, differences between the two groups were observed in the information flows of verbal message comprehension and contextual familiarity detection in the problem-identifying phase, whereas no significant differences were found in the resolution-reaching phase. (ii) During numerical intelligence tasks, differences between the two groups were observed in the information flows of mental calculation and message comprehension in the problem-identifying phase and those of verbal perception and analogical reasoning in the resolution-reaching phase. (iii) During spatial intelligence tasks, differences between the two groups were observed in the information flows of spatial relation integration and spatial context memory retrieval in the problem-identifying phase and those of spatial attention and contextual relation integration in the resolution-reaching phase. © 2020, Hipatia Press. All rights reserved.
Electroencephalography; Engineering students; Liberal-arts students; Problem-solving processes
Aichelburg C., Urbanski M., de Schotten M. T., Humbert F., Levy R., Volle E., Morphometry of left frontal and temporal poles predicts analogical reasoning abilities, Cerebral Cortex, 26, pp. 915-932, (2016); Ansari D., Does the parietal cortex distinguish between "10", "ten," and ten dots?, Neuron, 53, 2, pp. 165-167, (2007); Apps M. A. J., Rushworth M. F. S., Chang S. W. C., The anterior cingulate gyrus and social cognition: Tracking the motivation of others, Neuron, 90, 4, pp. 692-707, (2016); Arsalidou M., Taylor M. J., Is 2 + 2 = 4? Meta-analyses of brain areas needed for numbers and calculations, Neuroimage, 54, 3, pp. 2382-2393, (2011); Attridge N., Inglis M., Advanced mathematical study and the development of conditional reasoning skills, PLoS One, 8, 7, (2013); Banich M. T., Compton R. J., Cognitive neuroscience, (2018); Barbey A. K., Colom R., Solomon J., Krueger F., Forbes C., Grafman J., An integrative architecture for general intelligence and executive function revealed by lesion mapping, Brain: A Journal of Neurology, 135, pp. 1154-1164, (2012); Barbey A. K., Sloman S.A., Base-rate respect: From ecological rationality to dual processes, Behavioral and Brain Sciences, 30, pp. 241-254, (2007); Barnett L., Seth A. K., The MVGC multivariate Granger causality toolbox: A new approach to Granger-causal inference, Journal of Neuroscience Methods, 223, pp. 50-68, (2014); Basagni B., Luzzatti C., Navarrete E., Caputo M., Scrocco G., Damora A., Giunchi L., Gemignani P., Caiazzo A., Gambini M. G., Avesani R., Mancuso M., Trojano L., De Tanti A., VRT (verbal reasoning test): A new test for assessment of verbal reasoning. Test realisation and Italian normative data from a multicentric study, Neurological Science, 38, 4, pp. 643-650, (2017); Bastos A. M., Schoffelen J.-M., A tutorial review of functional connectivity analysis methods and their interpretation pitfalls, Frontiers in System Neuroscience, 9, (2016); Bishop S. J., Fossella J., Croucher C. J., Duncan J., COMT val158met genotype affects neural mechanisms supporting fluid intelligence, Cerebral Cortex, 18, 9, pp. 2132-2140, (2008); Boccia M., Piccardi L., Palermo L., Nori R., Palmiero M., Where do bright ideas occur in our brain? Meta-analytic evidence from neuroimaging studies of domain-specific creativity, Frontiers in Psychology, 6, (2015); Bordoloi L. M., Winebrake J. J., Bringing the liberal arts to engineering education, The Chronicle of Higher Education, (2015); Bressler S. L., Seth A. K., Wiener–Granger Causality: A well established methodology, NeuoImage, 58, 2, pp. 323-329, (2011); Bunge S. A., Burrows B., Wagner A. D., Prefrontal and hippocampal contributions to visual associative recognition: Interactions between cognitive control and episodic retrieval, Brain and Cognition, 56, 2, pp. 141-152, (2004); Burgess N., Spatial cognition and the brain, Annals of the New York Academy of Sciences, 1124, pp. 77-97, (2008); Carter P. J., Russell K. A., Test and assess your IQ: Numeric, verbal, and spatial aptitude tests, (2008); Cohen Kadoshsend R., Soskic S., Iuculano T., Kanai R., Walsh V., Modulating neuronal activity produces specific and long-lasting changes in numeric competence, Current Biology, 20, 22, pp. 2016-2020, (2010); Corbetta M., Shulman G. L., Control of goal-directed and stimulus driven attention in the brain, Nature Reviews Neuroscience, 3, 3, pp. 201-215, (2002); Deary I. J., Penke L., Johnson W., The neuroscience of human intelligence differences, Nature Reviews Neuroscience, 11, pp. 201-211, (2010); Delorme A., Makeig S., EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis, Journal of Neuroscience Methods, 134, pp. 9-21, (2004); Delorme A., Palmer J., Onton J., Oostenveld R., Makeig S., Independent EEG sources are dipolar, PLoS ONE, 7, 2, (2012); Dennis T. A., Solomon B., Frontal EEG and emotion regulation: Electrocortical activity in response to emotional film clips is associated with reduced mood Induction and attention interference effects, Biological Psychology, 85, 3, pp. 456-464, (2010); Ding M., Bressler S. L., Yang W., Liang H., Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: Data preprocessing, model validation, and variability assessment, Biological Cybernetics, 83, 1, pp. 35-45, (2000); Dominguez M. G., Martin-Gutierrez J., Gonzalez C. R., Corredeaguas C. M. M., Methodologies and tools to improve spatial ability, Procedia: Social and Behavioral Sciences, 51, pp. 736-744, (2012); Duncan J., Seitz R. J., Kolodny J., Bor D., Herzog H., Ahmed A., Newell F. N., Emslie H., A neural basis for general intelligence, Science, 289, 5478, pp. 457-460, (2000); Friston K. J., Bastos A. M., Oswal A., van Wijk B., Richter C., Litvak V., Granger causality revisited, NeuroImage, 101, pp. 796-808, (2014); Gallup G. G. J., Platek S. M., Cognitive empathy presupposes self-awareness: Evidence from phylogeny, ontogeny, neuropsychology and mental illness, Behavioral and Brain Sciences, 25, 1, pp. 36-37, (2002); Glascher J., Rudrauf D., Colom R., Paul L. K., Tranel D., Damasio H., Adolphs R., Distributed neural system for general intelligence revealed by lesion mapping, Proceedings of the National Academy of Sciences (PNAS), 107, 10, pp. 4705-4709, (2010); Granger C. W. J., Investigating causal relations by econometric models and cross-spectral methods, Econometrica, 37, pp. 424-438, (1969); Han J., Cao B., Cao Y., Gao H., Li F., The role of right frontal brain regions in integration of spatial relation, Neuropsychologia, 86, pp. 29-37, (2016); Hanson S. J., Bunzl M., Foundational issues in human brain mapping, Neuroscience and Behavioral Physiology, 45, 2, pp. 146-153, (2010); Jenkins W. K., Today’s engineering education is a liberal arts education of the future, Proceedings of the IEEE, 102, 9, pp. 1306-1309, (2014); Jirout J. J., Newcombe N. S., Building blocks for developing spatial skills: evidence from a large, representative U.S. sample, Psychological Science, 26, 3, pp. 302-310, (2015); Jung T.-P., Makeig S., Mckeown M. J., Bell A. J., Lee T.-W., Sejnowski T. J., Imaging brain dynamics using independent component analysis, Proceedings of the IEEE, 89, 7, pp. 1107-1122, (2001); Kanjliaa S., Lanea C, Feigensona L., Bedny M., Absence of visual experience modifies the neural basis of numeric thinking, Proceedings of the National Academy of Sciences (PNAS), 113, 40, pp. 11172-11177, (2016); Lachman M. E., Agrigoroaei S., Murphy A., Tun P. A., Frequent cognitive activity compensates for education differences in episodic memory, The American Journal of Geriatric Psychiatry, 18, 1, pp. 4-10, (2010); Liang C., Lin C.-T., Yao S.-N., Chang W.-S., Liu Y.-C., Chen S.-A., Visual attention and association: An electroencephalography study in expert designers, Design Studies, 48, pp. 76-95, (2017); Lin C.-T., Chuang C.-H., Kerick S., Mullen T., Jung T.-P., Ko L.-W., Chen S.-A., King J.-T., McDowell K., Mind-wandering tends to occur under low perceptual demands during driving, Scientific Reports, 6, (2016); Liu Y.-C., Chang C.-C., Yang Y.-H., Liang C., Spontaneous analogising caused by text stimuli in design thinking: Differences between higher-and lower-creativity groups, Cognitive Neurodynamics, (2018); Malhotra P., Coulthard E. J., Husain M., Role of right posterior parietal cortex in maintaining attention to spatial locations over time, Brain, 132, 3, pp. 645-660, (2009); Miller E. K., Cohen J. D., An integrative theory of prefrontal cortex function, Annual Review of Neuroscience, 24, pp. 167-202, (2001); Miller E. K., Phelps E. A., Current opinion in neurobiology: Cognitive neuroscience 2010, Current Opinion in Neurobiology, 20, 2, pp. 141-142, (2010); Neumann Y., Differences between engineering and liberal arts: A discriminant analysis of students’ work values, Journal of Experimental Education, 52, 1, pp. 41-46, (1983); Oakhill J., Yuill N., Garnham A., The differential relations between verbal, numerical and spatial working memory abilities and children’s reading comprehension, International Electronic Journal of Elementary Education, 4, 1, pp. 83-106, (2011); Paul E. J., Larsen R. J., Nikolaidis A., Ward N., Hillman C. H., Cohen N. J., Kramer A. F., Barbey A. K., Dissociable brain biomarkers of fluid intelligence, NeuroImage, 137, pp. 201-211, (2016); Ritchie S. J., Bates T. C., Deary I. J., Is education associated with improvements in general cognitive ability, or in specific skills?, Developmental Psychology, 51, 5, pp. 573-582, (2015); Sakurai Y., Hamada K., Tsugawa N., Sugimoto I., Ventral simultanagnosia and prosopagnosia for unfamiliar faces due to a right posterior superior temporal sulcus and angular gyrus lesion, Neurocase, 22, 1, pp. 122-129, (2015); Shelton C., Students who developed logical reasoning skills reported improved confidence in drug dose calculation: Feedback from remedial maths classes, Nurse Education Today, 41, pp. 6-11, (2016); Slotnick S. D., Moo L. R., Segal J. B., Hart J., Distinct prefrontal cortex activity associated with item memory and source memory for visual shapes, Cognitive Brain Research, 17, 1, pp. 75-82, (2003); Spearman C., General intelligence: Objectively determined and measured, American Journal of Psychology, 15, 2, pp. 201-293, (1904); Takeuchi H., Taki Y., Sassa Y., Hashizume H., Sekiguchi A., Fukushima A., Kawashima R., Working memory training using mental calculation impacts regional gray matter of the frontal and parietal regions, PLoS One, 6, 8, (2011); Wang H. E., Benar C. G., Quilichini P. P., Friston K. J., Jirsa V. K., Bernard C., A systematic framework for functional connectivity measures, Frontiers in Neuroscience, 8, (2014); Wisniewski I., Wendling A. S., Manning L., Steinhoff B. J., Visuo-spatial memory tests in right temporal lobe epilepsy foci: Clinical validity, Epilepsy & Behavior, 23, 3, pp. 254-260, (2012); Yao S.-N., Lin C.-T., King J.-T., Liu Y.-C., Liang C., Learning in the visual association of novice and expert designers, Cognitive Systems Research, 43, pp. 76-88, (2017)
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