1深圳大学心理学院, 深圳 518060
2卡罗琳斯卡医学院临床神经科学系, 斯德哥尔摩, 瑞典
收稿日期:
2020-11-06出版日期:
2021-11-15发布日期:
2021-09-23通讯作者:
李红E-mail:lihongszu@szu.edu.cn基金资助:
国家自然科学基金(31800951);深圳大学“教学新秀”精进计划(高水平大学二期建设 860-000001020620)The teaching and learning brains: Interpersonal neuroscience in educational research
CHENG Xiaojun1, LIU Meihuan1, PAN Yafeng2, LI Hong1()1School of Psychology, Shenzhen University, Shenzhen 518060, China
2Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
Received:
2020-11-06Online:
2021-11-15Published:
2021-09-23Contact:
LI Hong E-mail:lihongszu@szu.edu.cn摘要/Abstract
摘要: 如何从神经生理层面刻画教育活动的人际互动模式和动态性是教育神经科学面临的一个重要挑战。人际神经科学视角为其提供了可能的解决途径; 这一新兴的视角通过记录和分析进行同一认知活动时两人或多人大脑活动之间的关联, 来揭示大脑活动的群体模式。目前, 人际神经科学方法已被应用于教育研究, 例如监控教学过程、预测教学效果和识别教学影响因素, 相应的研究成果对教育活动具有重要启示。未来的研究者可以更多地关注不同学习水平的学生大脑的互动机制及人际神经科学方法应用于技能教学及线上教学评估的巨大潜力。
图/表 1
图1人际神经科学视角下的扫描模型:序列扫描(A和B)和同时扫描(C和D)。(A)先对进行任务的教师进行扫描, 而后对观看教学视频的学生进行扫描, 考察教师的大脑活动是否可预测学生的大脑活动; (B)对接受同一刺激(如教学视频)的多个学生进行分别扫描, 考察学生之间大脑活动的相关性; (C)同时扫描一对一教学模式中的教师和学生, 考察师生的脑间同步; (D)同时扫描一对多教学模式中的教师和学生, 考察师生的脑间同步和生生的脑间同步;
图1人际神经科学视角下的扫描模型:序列扫描(A和B)和同时扫描(C和D)。(A)先对进行任务的教师进行扫描, 而后对观看教学视频的学生进行扫描, 考察教师的大脑活动是否可预测学生的大脑活动; (B)对接受同一刺激(如教学视频)的多个学生进行分别扫描, 考察学生之间大脑活动的相关性; (C)同时扫描一对一教学模式中的教师和学生, 考察师生的脑间同步; (D)同时扫描一对多教学模式中的教师和学生, 考察师生的脑间同步和生生的脑间同步;
参考文献 58
[1] | 霍鹏飞, 吴玮. (2011). 大脑的学习机制及其对教育的启示. 集美大学学报, 12(2), 50-53. |
[2] | 李先春. (2018). 超扫描技术与社会认知. 上海: 华东师范大学出版社. |
[3] | 李先春, 卑力添, 袁涤, 丁雅娜, 冯丹阳. (2018). 超扫描视角下的社会互动脑机制. 心理科学, 41(6), 206-213. |
[4] | 乔新虹, 杨文伟, 李先春, 裴新宁. (2018). 超扫描技术在社会性学习中的应用. 现代教育技术, 28(9), 12-18. |
[5] | 郑丽莉, 成晓君, 胡谊, 李先春. (2015). 超扫描的发展及其在教育领域的应用潜力. 教育生物学杂志, 3(1), 35-42. |
[6] | Anders, S., Heinzle, J., Weiskopf, N., Ethofer, T., & Haynes, J. D. (2011). Flow of affective information between communicating brains. NeuroImage, 54(1), 439-446. doi: 10.1016/j.neuroimage.2010.07.004pmid: 20624471 |
[7] | Anderson, J. R. (1981). Effects of prior knowledge on memory for new information. Memory & Cognition, 9(3), 237-246. doi: 10.3758/BF03196958URL |
[8] | Antonenko, P., Paas, F., Grabner, R., & van Gog, T. (2010). Using electroencephalography to measure cognitive load. Educational Psychology Review, 22(4), 425-438. doi: 10.1007/s10648-010-9130-yURL |
[9] | Astin, A. W. (1996). Involvement in learning revisited: Lessons we have learned. Journal of College Student Development, 37(2), 123-134. |
[10] | Babiker, A., Faye, I., Mumtaz, W., Malik, A. S., & Sato, H. (2019). EEG in classroom: EMD features to detect situational interest of students during learning. Multimedia Tools and Applications, 78(12), 16261-16281. doi: 10.1007/s11042-018-7016-z |
[11] | Baccala, L. A., & Sameshima, K. (2001). Partial directed coherence: A new concept in neural structure determination. Biological Cybernetics, 84(6), 463-474. doi: 10.1007/PL00007990URL |
[12] | Bevilacqua, D., Davidesco, I., Wan, L., Chaloner, K., Rowland, J., Ding, M., ... Dikker, S. (2018). Brain-to-Brain Synchrony and learning outcomes vary by student-teacher dynamics: Evidence from a real-world classroom electroencephalography study. Journal of Cognitive Neuroscience, 31(3), 401-411. doi: 10.1162/jocn_a_01274URL |
[13] | Burgess, A. P. (2013). On the interpretation of synchronization in EEG hyperscanning studies: A cautionary note. Frontiers in Human Neuroscience, 7, 881. doi: 10.3389/fnhum.2013.00881pmid: 24399948 |
[14] | Cheng, X. J., Li, X., & Hu, Y. (2015). Synchronous brain activity during cooperative exchange depends on gender of partner: A fNIRS-based hyperscanning study. Human Brain Mapping, 36(6), 2039-2048. doi: 10.1002/hbm.22754URL |
[15] | Chi, M. T. H., Siler, S. A., & Jeong, H. (2004). Can tutors monitor students' understanding accurately? Cognition & Instruction, 22(3), 363-387. |
[16] | Cohen, S. S., Madsen, J., Touchan, G., Robles, D., Lima, S. F. A., Henin, S., & Parra, L. C. (2018). Neural engagement with online educational videos predicts learning performance for individual students. Neurobiology of Learning and Memory, 155, 60-64. doi: 10.1016/j.nlm.2018.06.011URL |
[17] | Dahlstrom-Hakki, I., Asbell-Clarke, J., & Rowe, E. (2019). Showing is knowing: The potential and challenges of using neurocognitive measures of implicit learning in the classroom. Mind, Brain, and Education, 13(1), 30-40. doi: 10.1111/mbe.2019.13.issue-1URL |
[18] | Davidesco, I., Laurent, E., Valk, H., West, T., Dikker, S., Milne, C., & Poeppel, D. (2019). Brain-to-brain synchrony predicts long-term memory retention more accurately than individual brain measures. Retrieved January 9, 2021, from https://doi.org/10.1101/644047 |
[19] | Dikker, S., Wan, L., Davidesco, I., Kaggen, L., Oostrik, M., McClintock, J., ... Poeppel, D. (2017). Brain-to-brain synchrony tracks real-world dynamic group Interactions in the classroom. Current Biology, 27(9), 1375-1380. doi: 10.1016/j.cub.2017.04.002URL |
[20] | Dmochowski, J. P., Bezdek, M. A., Abelson, B. P., Johnson, J. S., Schumacher, E. H., & Parra, L. C. (2014). Audience preferences are predicted by temporal reliability of neural processing. Nature Communications, 5, 4567. doi: 10.1038/ncomms5567pmid: 25072833 |
[21] | Dmochowski, J. P., Sajda, P., Dias, J. & Parra, L. C. (2012). Correlated components of ongoing EEG point to emotionally laden attention - A possible marker of engagement? Frontiers in Human Neuroscience, 6, 112. doi: 10.3389/fnhum.2012.00112pmid: 22623915 |
[22] | Frymier, A. B., & Houser, M. L. (2000). The teacher‐student relationship as an interpersonal relationship. Communication Education, 49(3), 207-219. doi: 10.1080/03634520009379209URL |
[23] | Furnham, A., & Chamorro-Premuzic, T. (2005). Individual differences in students' preferences for lecturers' personalities. Journal of Individual Differences, 26(4), 176-184. doi: 10.1027/1614-0001.26.4.176URL |
[24] | Gilbert, A. C., Boucher, V. J., & Jemel, B. (2014). Perceptual chunking and its effect on memory in speech processing: ERP and behavioral evidence. Frontiers in Psychology, 5, 220. doi: 10.3389/fpsyg.2014.00220pmid: 24678304 |
[25] | Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424-438. doi: 10.2307/1912791URL |
[26] | Grant, M. R., Thornton, H. R. (2007). Best practices in undergraduate adult-centered online learning: Mechanisms for course design and delivery. Journal of Online Learning and Teaching, 3(4), 346-356. |
[27] | Holper, L., Goldin, A. P., Shalóm, D. E., Battro, A. M., Wolf, M., & Sigman, M. (2013). The teaching and the learning brain: A cortical hemodynamic marker of teacher-student interactions in the socratic dialog. International Journal of Educational Research, 59, 1-10. doi: 10.1016/j.ijer.2013.02.002URL |
[28] | Holper, L., Scholkmann, F., & Wolf, M. (2012). Between-brain connectivity during imitation measured by fNIRS. NeuroImage, 63(1), 212-222. doi: 10.1016/j.neuroimage.2012.06.028pmid: 22732563 |
[29] | Jahng, J., Kralik, J. D., Hwang, D. U., & Jeong, J. (2017). Neural dynamics of two players when using nonverbal cues to gauge intentions to cooperate during the prisoner’s dilemma game. Neuroimage, 157, 263-274. doi: 10.1016/j.neuroimage.2017.06.024URL |
[30] | Jiang, J., Chen, C. S., Dai, B. H., Shi, G., Ding, G. S., Liu, L., & Lu, C. M. (2015). Leader emergence through interpersonal neural synchronization. Proceedings of the National Academy of Sciences, 112(14), 4274-4279. doi: 10.1073/pnas.1422930112URL |
[31] | Kay, R. H. (2007). Exploring the use of video podcasts in education: A comprehensive review of the literature. Computers in Human Behavior, 23(3), 820-831. |
[32] | Khader, P. H., & Rösler, F. (2011). EEG power changes reflect distinct mechanisms during long-term memory retrieval. Psychophysiology, 48(3), 362-369. doi: 10.1111/psyp.2011.48.issue-3URL |
[33] | Ko, L. W., Komarov, O., Hairston, W. D., Jung, T. P., & Lin, C. T. (2017). Sustained attention in real classroom Settings: An EEG Study. Frontiers in Human Neuroscience, 11, 388. doi: 10.3389/fnhum.2017.00388pmid: 28824396 |
[34] | Konvalinka, I., & Roepstorff, A. (2012). The two-brain approach: How can mutually interacting brains teach us something about social interaction? Frontiers in Human Neuroscience, 6, 215. doi: 10.3389/fnhum.2012.00215pmid: 22837744 |
[35] | Lachaux, J. P., Rodriguez, E., Martinerie, J., & Varela, F. J. (1999). Measuring phase synchrony in brain signals. Human Brain Mapping, 8(4), 194-208. pmid: 10619414 |
[36] | Leinhardt, G., & Steele, M. D. (2005). Seeing the complexity of standing to the side: Instructional dialogues. Cognition and Instruction, 23(1), 87-163. doi: 10.1207/s1532690xci2301_4URL |
[37] | Liu, J., Zhang, R., Geng, B., Zhang, T., Yuan, D., Otani, S., & Li, X. (2019). Interplay between prior knowledge and communication mode on teaching effectiveness: Interpersonal neural synchronization as a neural marker. Neuroimage, 193, 93-102. doi: 10.1016/j.neuroimage.2019.03.004URL |
[38] | Liu, N., Mok, C., Witt, E. E., Pradhan, A. H., Chen, J. E., & Reiss, A. L. (2016). NIRS-based hyperscanning reveals inter-brain neural synchronization during cooperative Jenga game with face-to-face communication. Frontiers in Human Neuroscience, 10, 82. |
[39] | Liu, T., & Pelowski, M. (2014). Clarifying the interaction types in two-person neuroscience research. Frontiers in Human Neuroscience, 8(1), 276. |
[40] | Miller, A. N., Katt, J. A., Brown, T., & Sivo, S. A. (2014). The relationship of instructor Self-Disclosure, Nonverbal immediacy, And credibility to student incivility in the college classroom. Communication Education, 63(1), 1-16. doi: 10.1080/03634523.2013.835054URL |
[41] | Minagawa, Y., Xu, M., & Morimoto, S. (2018). Toward interactive social neuroscience: Neuroimaging real-world interactions in various populations. Japanese Psychological Research, 60(4), 196-224. doi: 10.1111/jpr.12207URL |
[42] | Nozawa, T., Sakaki, K., Ikeda, S., Jeong, H., Yamazaki, S., Kawata, K., ... Kawashima, R. (2019). Prior physical synchrony enhances rapport and inter-brain synchronization during subsequent educational communication. Scientific Reports, 9(1), 12747. doi: 10.1038/s41598-019-49257-zURL |
[43] | Paechter, M., & Maier, B. (2010). Online or face-to-face? Students' experiences and preferences in e-learning. Internet & Higher Education, 13(4), 292-297. |
[44] | Pan, Y. F., Cheng, X. J., Zhang, Z. X., Li, X. C., & Hu, Y. (2017). Cooperation in lovers: An fNIRS-based hyperscanning study. Human Brain Mapping, 38, 831-841. doi: 10.1002/hbm.23421URL |
[45] | Pan, Y. F., Dikker, S., Goldstein, P., Zhu, Y., Yang, C., & Hu, Y. (2020). Instructor-learner brain coupling discriminates between instructional approaches and predicts learning. Neuroimage, 211, 116657. doi: 10.1016/j.neuroimage.2020.116657URL |
[46] | Pan, Y. F., Novembre, G., Song, B., Li, X., & Hu, Y. (2018). Interpersonal synchronization of inferior frontal cortices tracks social interactive learning of a song. Neuroimage, 183, 280-290. doi: 10.1016/j.neuroimage.2018.08.005URL |
[47] | Poulsen, A. T., Kamronn, S., Dmochowski, J., Parra, L. C., & Hansen, L. K. (2017). EEG in the classroom: Synchronised neural recordings during video presentation. Scientific Reports, 7, 43916. doi: 10.1038/srep43916URL |
[48] | Ruge, H., & Wolfensteller, U. (2009). Rapid formation of pragmatic rule representations in the human brain during instruction-based learning. Cerebral Cortex, 20(7), 1656-1667. doi: 10.1093/cercor/bhp228URL |
[49] | Schilbach, L., Timmermans, B., Reddy, V., Costall, A., Bente, G., Schlicht, T., & Vogeley, K. (2013). Toward a second-person neuroscience. Behavioral and Brain Sciences, 36(4), 393-414. doi: 10.1017/S0140525X12000660pmid: 23883742 |
[50] | Schippers, M. B., Roebroeck, A., Renken, R., Nanetti, L., & Keysers, C. (2010). Mapping the information flow from one brain to another during gestural communication. Proceedings of the National Academy of Sciences of the United States of America, 107(20), 9388-9393. doi: 10.1073/pnas.1001791107pmid: 20439736 |
[51] | Sun, B., Xiao, W., Feng, X., Shao, Y., Zhang, W., & Li, W. (2020). Behavioral and brain synchronization differences between expert and novice teachers when collaborating with students. Brain and Cognition, 139, 105513. doi: 10.1016/j.bandc.2019.105513URL |
[52] | Takeuchi, N., Mori, T., Suzukamo, Y., & Izumi, S. I. (2017). Integration of teaching processes and learning assessment in the Prefrontal Cortex during a video game teaching-learning task. Frontiers in Psychology, 7, 2052. |
[53] | Torrence, C., & Compo, G. P. (1997). A practical guide to wavelet analysis. Bulletin of the American Meteorological Society, 79(1), 61-78. doi: 10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2URL |
[54] | Watanabe, S., Hara, K., Ohta, K., Iino, H., Miyajima, M., Matsuda, A., ... Matsushima, E. (2013). Aroma helps to preserve information processing resources of the brain in healthy subjects but not in temporal lobe epilepsy. Seizure, 22(1), 59-63. doi: 10.1016/j.seizure.2012.10.008pmid: 23141745 |
[55] | Wazny, J. H., & Nathan-Roberts, D. (2018). Real-time cognitive-state neuroimaging in applied education. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 62(1), 1157-1161. |
[56] | Zheng, L., Liu, W., Long, Y., Zhai, Y., Zhao, H., Bai, X., ... Lu, C. (2020). Affiliative bonding between teachers and students through interpersonal synchronisation in brain activity. Social Cognitive and Affective Neuroscience, 15(1), 97-109. doi: 10.1093/scan/nsaa016URL |
[57] | Zheng, L. F., Chen, C. S., Liu, W. D., Long, Y. H., Zhao, H., Bai, X. L., ... Lu, C. M. (2018). Enhancement of teaching outcome through neural prediction of the students' knowledge state. Human Brain Mapping, 39(7), 3046-3057. doi: 10.1002/hbm.24059URL |
[58] | Zhu, Y., Pan, Y. F., & Hu, Y. (2019). Learning desire is predicted by similar neural processing of naturalistic educational materials. eNeuro, 6(5), ENEURO. 0083-19.2019. |
相关文章 15
[1] | 邓子谦, 陈晓晨, 韦庆旺. 从社会文化的视角看健康与教育的阶层差异[J]. 心理科学进展, 2020, 28(12): 2125-2136. |
[2] | 卢富荣, 宋煜静, 刘路培, 方选智, 张彩. 隔代教育对孙辈和祖辈的影响:双刃剑效应[J]. 心理科学进展, 2020, 28(10): 1733-1741. |
[3] | 王晓萍, 朱婷婷. 指向三级预防的婚姻教育[J]. 心理科学进展, 2020, 28(10): 1742-1750. |
[4] | 卑力添, 蒋柯, 李先春, 熊哲宏. 博弈论视角下的超扫描多人互动任务新模型[J]. 心理科学进展, 2019, 27(7): 1284-1296. |
[5] | 郭磊;尚鹏丽;夏凌翔. 心理与教育测验中反应时模型应用的优势与举例[J]. 心理科学进展, 2017, 25(4): 701-712. |
[6] | 阚红, 朱艳菲, 汪亚珉. 学习论视角下的教育工效学理论模型的发展与应用[J]. 心理科学进展, 2017, 25(10): 1726-1737. |
[7] | 叶萌;辛涛. 垂直量尺化中的参数标定方法及其性能比较[J]. 心理科学进展, 2014, 22(10): 1669-1678. |
[8] | 黎光明;张敏强;张文怡. 人事测评中的概化理论应用[J]. 心理科学进展, 2013, 21(1): 166-174. |
[9] | 熊猛;叶一舵. 中国城市农民工子女心理健康研究述评[J]. 心理科学进展, 2011, 19(12): 1798-1813. |
[10] | 刘邦春. “和平餐桌”心理学: 马斯洛的和平心理关切[J]. 心理科学进展, 2010, 18(7): 1193-1198. |
[11] | 刘桂荣; 张景焕; 王晓玲. 创造力游乐场理论及其实践涵义[J]. 心理科学进展, 2010, 18(4): 679-684. |
[12] | 潘益中;王芳;许燕;张姝玥;田一. 班级心理辅导对学生震后心理复原的作用[J]. 心理科学进展, 2009, 17(3): 516-520. |
[13] | 姜兆萍;俞国良. 非言语学习不良的研究现状和展望[J]. 心理科学进展, 2006, 14(1): 73-79. |
[14] | 訾非. Dabrowski的人格发展理论及其对超常教育的启示[J]. 心理科学进展, 2005, 13(6): 728-733. |
[15] | 姜兆萍,张雅明. 成人学习不良的认知特点与教育干预[J]. 心理科学进展, 2005, 13(5): 576-580. |
PDF全文下载地址:
http://journal.psych.ac.cn/xlkxjz/CN/article/downloadArticleFile.do?attachType=PDF&id=5619