1 |
Byeon, J. H.,, Kwon, S. H., & Kwon, Y. J., (2014). Identifying the difference between the cognitive thinking process between science high school students and general high school students through comparison of brain activity in the biological classification process. Biological Education, 42(2), 194-207.
|
2 |
Lawson, A. E. (2006). The neurological basis of learning, development and discovery: Implications for science and mathematics instruction (Vol. 18). Springer Science & Business Media.
|
3 |
Lloyd-Fox, S., Blasi, A., & Elwell, C. E. (2010). Illuminating the developing brain: The past, present and future of functional near infrared spectroscopy. Neuroscience and biobehavioral reviews, 34(3), 269-284.
DOI
|
4 |
Organisation for Economic Co-operation and Development [OECD]. (2002). Understanding the Brain: Towards a New Learning Science. Paris, France: OECD Publishing.
|
5 |
Park, S. H., Park, J. S., Hwang, N. R., Kwon, S. H., & Kwon, Y. J. (2019). An exploration of the brain study through a practical measurment and application using fNIRS in educational research. Brain, Digital, & Learning, 9, 213-231.
DOI
|
6 |
Roh, T. H., Lim, H. Y., & Kang, S. J. (2000). Comparison of cognitive conflict induction and conceptual change according to sex and age. Journal of the Korean Academy of Education, 20(4), 634-641.
|
7 |
Toepper, M., Gebhardt, H., Beblo, T., Thomas, C., Driessen, M., Bischoff, M., & Sammer, G. (2010). Functional correlates of distractor suppression during spatial working memory encoding. Neuroscience, 765(4), 1244-1253.
|
8 |
Yamashita, Y., Maki, A., Ito, Y., Watanabe, E., Mayanagi, Y., & Koizumi, H. (1996). Noninvasive near-infrared topography of human brain activity using intensity modulation spectroscopy. Optical Engineering, 35(4), 1046-1049.
DOI
|
9 |
Fletcher, C. P., & Henson, A. R. (2001). Frontal lobes and human memory insights from functional neuroimaging. Brain, 12(5), 849-881.
DOI
|
10 |
Carew, T. J., & Magsamen, S. H. (2010). Neuroscience and education: An ideal partnership for producing evidence-based solutions to guide 21st century learning. Neuron, 67(5), 685-688.
DOI
|
11 |
Hong, S., Lee, J., Heo, J., Baek, H. J., & Park, K. S. (2015). The estimation of activated prefrontal brain area due to the execution of mental tasks using fNIRS. Journal of Biomedical Engineering Research, 36, 177-182.
DOI
|
12 |
Lawson, A. E., & Wollman, W. T. (1977). Using chemistry problems to provoke selfregulation. Journal of Chemical Education, 54(1), 41.
DOI
|
13 |
McLaughlin, N. C. R., Wiebe, D., Fulwiler, C., & Gansler, D. A. (2009). Differential contributions of lateral prefrontal cortex regions to visual memory processes. Brain Imaging and Behavior, 3(2), 202-211.
DOI
|
14 |
Levy, B. J., & Wagner, A. D. (2011). Cognitive control and right ventrolateral prefrontal cortex: Reflexive reorienting, motor inhibition, and action updating. Annals of the New York Academy of Sciences, 1224(1), 40.
DOI
|
15 |
Ministry of Education [MOE]. (2015). Science curriculum. Ministry of Education Notice No. 2015-74.
|
16 |
OBELAB (2019). NIRSIT analysis tool v2.2. Seoul, Korea: OBELAB.
|
17 |
Park, J. S., & Kwon, Y. J. (2021). Comparison of science gifted and general students' brain activity and thinking process in the process of self-regulation -An fNIRS study. Brain, Digital, & Learning, 11, 405-416.
|
18 |
Pascual-Leone, J. (1970). A mathematical model for the transition rule in Piaget's developmental stages. Acta psychologica, 32, 301-345.
DOI
|
19 |
Pinti, P., Aichelburg, C., Gilbert, S., Hamilton, A., Hirsch, J., Burges, P., & Tachtsidis, I. (2018). A review on the use of wearable functional near-infrared spectroscopy in naturalistic environments. Japanese Psychological Research, 60(4), 347-373.
DOI
|
20 |
Ballesta, S., Shi, W., Conen, K., & Padoa-Schioppa, C. (2020). Values encoded in orbitofrontal cortex are causally related to economic choices. Nature, https://dx.doi.org/10.1038/s41586-020-2880-x.
DOI
|
21 |
Jin, Y., Lee, J., Kim, S., & Yoon, B. (2019). Noninvasive brain stimulation over M1 and DLPFC cortex enhances the learning of bimanual isometric force control. Human Movement Science, 66, 73-83.
DOI
|
22 |
Kwon, Y. J., Lee, J. K., Shin, D. H., & Jeong, J. S. (2009). Changes in brain activation induced by the training of hypothesis generation skills: An fMRI study. Brain and Cognition, 69(2), 391-397.
DOI
|
23 |
Spear, L. P. (2000). The adolescent brain and age-related behavioral manifestations. Neuroscience & Biobehavioral Reviews, 24(4), 417-463.
DOI
|
24 |
Volz, K. G., Schubotz, R. I., & von Cramon, D. Y. (2005). Variants of uncertainty in decision-making and their neural correlates. Brain Research Bulletin, 67(5), 403-412.
DOI
|
25 |
Koechlin, E. (2011). Frontal pole function: What is specifically human?. Trends in Cognitive Sciences, 15(6), 241.
DOI
|
26 |
Kwon, S. H., Park, S. H., Park, J. S., Hwang, N. R., & Kwon, Y. J. (2020). Identification of fNIRS brain activity and exploration of deep learning-based predictive model in self-regulation process taking mirror task. Brain, Digital, & Learning, 10(4), 365-376.
DOI
|
27 |
Kwon, Y. J., Choi, S. J., Park, Y. B., & Jeong, J. S. (2003). Scientific thinking types and processes generated in inductive inquiry by college students. Journal of the Korean Association for Science Education, 23(3), 286-298.
|
28 |
Kwon, Y. J., Jeong, J. S., Shin, D. H., Lee, J. K., Lee, I. S., & Byeon, J. H. (2011). Generationand evaluation of scientific knowledge. Seoul, Korea: Hakjisa.
|
29 |
Lawson, A. E. (1995). Science teaching and the development of thinking. Belmont, CA: Wadsworth Publishing Company.
|
30 |
Blakemore, S. J., & Choudhury, S. (2006). Development of the adolescent brain: Implications for executive function and social cognition. Journal of Child Psychology and Psychiatry, 47(3-4), 296-312.
DOI
|
31 |
Blackwood, N., Simmons, A., Bentall, R., Murray, R., & Howard, R. (2004). The cerebellum and decision making under uncertainty. Cognitive Brain Research, 20(1), 46-53.
DOI
|
32 |
Boorman, E. D., Behrens, T. E., Woolrich, M. W., & Rushworth, M. F. (2009). How green is the grass on the other side? Frontopolar cortex and the evidence in favor of alternative courses of action. Neuron, 62(5), 733-743.
DOI
|
33 |
Schendan, H. E. (2012). Implicit memory. http://hdl.handle.net/10026.1/1207. In V. S. Ramachandran (Ed.), Encyclopedia of human behavior. Burlington, MA: Elsevier/Academic Press.
|
34 |
Xia, M., Wang, J., & He, Y. (2013). BrainNet Viewer: A network visualization tool for human brain connectomics. PloS One, 8(7), e68910.
DOI
|
35 |
Zajkowski, W. K., Kossut, M., & Wilson, R. C. (2017). A causal role for right frontopolar cortex in directed, but not random, exploration. eLife, 6, e27430.
DOI
|
36 |
Zhenhong, H., Lin, Y., Xia, L., Liu, Z., Zhang, D., & Elliott, R. (2018). Critical role of the right VLPFC in emotional regulation of social exclusion: a tDCS study. Social Cognitive and Affective Neuroscience, 13(4), 357-366.
DOI
|
37 |
Heekeren, H. R., Marrett, S., Bandettini, P. A., & Ungerleider, L. G. (2004). A general mechanism for perceptual decision-making in the human brain. Nature, 431(7010), 859-862.
DOI
|
38 |
Cabeza, R. (2008). Role of parietal regions in episodic memory retrieval: The dual attentional processes hypothesis. Neuropsychologia, 46(7), 1813-1827.
DOI
|
39 |
Ham, K., Kim, K. P., Jeong, H., & Yoo, S. H. (2018). Increased ventrolateral prefrontal cortex activation during accurate eyewitness memory retrieval: An exploratory functional near-infrared spectroscopy study. Korean Journal of Legal Medicine, 42(4), 146-152.
DOI
|
40 |
Hashweh, M. (1986). Toward an explanation of conceptual change. European Journal of Science Education, 8, 229-249.
DOI
|
41 |
Jeong, H. R., Park, J. W., & Kim, J. G. (2016). Development of an educational program called 'Change in the Biological Classification System' using argumentative activities. Biological Education, 44(3), 463-476.
DOI
|
42 |
Barbey, A. K., Koenigs, M., & Grafman, J. (2013). Dorsolateral prefrontal contributions to human working memory. Cortex, 49(5), 1195-1205.
DOI
|