نوع مقاله : مقالۀ پژوهشی

نویسندگان

1 استادیار، گروه زبان انگلیسی، واحد مشهد، دانشگاه آزاد اسلامی، مشهد

2 دانش آموخته ارشد آموزش زبان انگلیسی، گروه زبان انگلیسی، واحد مشهد، دانشگاه آزاد اسلامی، مشهد

چکیده

پژوهش بین‌رشته‌ای حاضر به بررسی فعّالیّت‌های ارتعاشی مغزی نسبت تتا / بتا (TBR) حین انجام آزمون خواندن درک مطلب می‌پردازد. سی‌نفر زبان‌آموز سطح متوسّط (15 مرد،15 زن) در این مطالعه شرکت کردند. شرکت‌کنندگان آزمون خواندن و درک مطلب را جواب دادند درحالی‌که ارتعاشات مغزی آنها با استفاده از دستگاه «الکتروانسفالوگرافی کمّی» (QEEG) اندازه‌گیری می‌شد. نتایج تحقیق نشان داد تفاوت‌های معناداری بین مقادیر TBR (شاخص توجّه) قبل و در حین انجام آزمون خواندن وجود دارد. به‌طور مشابه، یافته‌های توپوگرافی کاهش قدرت TBR در مناطق Fz و Pz مغز در حین انجام آزمون خواندن را نشان می‌دهد که بیانگر نقش مهم آزمون درک مطلب استنتاجی در افزایش توجّه داخلی است. این مطالعه برای تمام محقّقان رشتۀ آموزش جهت استفاده از رویکردهای بین‌رشته‌ای و در نظر گرفتن اهمّیّت آزمون‌های خواندن و درک مطلب به منظور افزایش توجّه مفید است.

تازه های تحقیق

 

کلیدواژه‌ها

موضوعات

 

Angelidis, A., Hagenaars, M., Son, D. V., Does, W., & Putman, P. (2018). Do not look away! Spontaneous frontal EEG theta/beta ratio as a marker for cognitive control over attention to mild and high threat. Biological Psychology, 135, 8-17.  https://doi.org/10.1016/j.biopsycho.2018.03.002
Baranowska, K. (2022). Exposure to English as a foreign language through subtitled videos. The impact of subtitles and modality on cognitive load, comprehension, and vocabulary acquisition [Unpublished doctoral dissertation]. Adam Mickiewicz University.
Benedek, M., Jauk, E., Beaty, R., Fink, A., Koschutnig, K., & Neubauer, A. C. (2016). Brain mechanisms associated with internally directed attention and self-generated thought. Scientific Report, 6, 1-10. https://doi.org/10.1038/srep22959
Brodmann, K. (1909). Vergleichende Lokalisationslehre der Grosshirnrinde [Comparative localization theory of the cerebral cortex]. Johann Ambrosius Barth. https://doi.org/10.1007/s00415-010-5784-0Carvalho, M. R., Velasques, B. B., Freire, R. C., Cagy, M., Marques, J. B., Teixeira, S., … Ribeiro, P. (2015). Frontal cortex absolute beta power measurement in panic disorder with agoraphobia patients. Journal of Affective Disorders, 184, 176-181. https://doi.org/10.1016/j.jad.2015.05.055 
Clarke, A. R., Barry, R. J., Karamacoska, D., Johnstone, S. J. (2019). The EEG theta/beta ratio: a marker arousal or cognitive processing capacity? Appl Psychophysiol Biofeedback, 44, 123-129. https://doi.org/10.1007/s10484-018-09428-6
Daube, J. R., & Rubin, D. I. (2009). Clinical neurophysiology. Oxford University Press.
Derryberry, D., & Reed, M. A. (2002). Anxiety-related attentional biases and their regulation by attentional control. Journal of Abnormal Psychology, 111(2), 225. https://doi.org/10.1037/0021-843X.111.2.225
Enright, M., Grabe, W., Koda, K., Mosenthal, P., Mulcahy-Ernt, P., & Schedl, M. (2000). TOEFL 2000 reading framework. Educational Testing Service.
Gongora, M., Bittencourt, J., Teixeira, S., Basile, L. F., Pompeu, F., Droguette, E. L., …Ribeiro, P. (2016). Low-frequency rTMS over the Parieto–frontal network during a sensorimotor task: The role of absolute beta power in the sensorimotor integration. Neuroscience Letters, 116, 1-5. https://doi.org/10.1016/j.neulet.2015.11.025
Guyton, A. C., & Hall, J. E. (2006). Textbook of medical physiology. Elsevier.
Her, S., Cha, K. S., Choi, J. W., Kim, H., Byun, J. I., woo, J-S. S., Kim, T-J., Lim, J-A., Jung, K. Y., & Kim, K. H. (2019). Impaired visuospatial attention revealed by theta- and beta-band cortical activities in idiopathic REM sleep behavior disorder patients. Clinical Neurophysiology, 130(10), 1962-1970. https://doi.org/10.1016/j.clinph.2019.07.030
LaBerge, D., & Samuels, S. J. (1974). Toward a theory of automatic information processing in reading. Cognitive psychology6(2), 293-323. https://doi.org/10.1016/0010-0285(74)90015-2
Laufer, B. (1996). The lexical threshold of second language reading comprehension what it is and how it is related to L1 reading ability. In K. Sajavaara & C. Faiweather (Eds.), Approaches to second language acquisition (pp. 55-62). University of Jivaskila.
Liu, R., Guo, L., Sun, H. J., Parviainen, T., Zhou, Z., Cheng, Y., ... & Ye, C. (2023). Sustained attention required for effective dimension-based retro-cue benefit in visual working memory. Journal of vision, 23(5), 13-13. https://doi.org/10.1167/jov.23.5.13   
Llamas-Alonso, J., Guevara M. A., Hernández-González, M., Hevia-Orozco, J. C., & Almanza-Sepúlveda, M. L. (2019). Action video game players require greater EEG coupling between prefrontal cortices to adequately perform a dual task. Entertainment Computing, 30, 10-16. https://doi.org/101080/01443410.2014.923556
Niazifar, A., & Shakibaei G. (2019). Effects of different text difficulty levels on Iranian EFL learners’ foreign language Reading motivation and Reading comprehension. Asian-Pacific Journal of Second and Foreign Language Education 4(1), 1-19. https://doi.org/10.1186/s40862-019-0070-x
Ogrim, G., Kropotov, J., & Hestad, K. (2012). The quantitative EEG theta/beta ratio in attention deficit/hyperactivity disorder and normal controls: sensitivity, specificity, and behavioral correlates. Psychiatry Research198(3), 482-488. https://doi.org/10.1016/j.psychres.2011.12.041
Picken, Ch., Clarke, A. R., Barry, R. J., McCarthy, R., Selikowitz, M. (2020). The theta/beta ratio as an index of cognitive processing in adults with the combined type of attention deficit hyperactivity disorder. Clinical EEG and Neuroscience, 51(3), 167-173. https://doi.org/10.1177/1550059419895142
Putman, P., Arias-Garcia, E., Pantazi, I., Van Schie, C. (2014). EEG theta/beta ratio as a potential biomarker for attentional control and resilience against deleterious effects of stress on attention. Cognitive, Affective, & Behavioral Neuroscience, 14, 782-791. https://doi.org/10.3758/s13415-013-0238-7
Qian, D. D. (1999). Assessing the roles of depth and breadth of vocabulary knowledge in reading comprehension. Canadian Modern Language Review, 56, 282–308. https://doi.org/10.3138/CMLR.56.2.282
Qian, D.D. (2002). Investigating the relationship between vocabulary knowledge and academic reading performance: An assessment perspective. Language Learning 52(3), 513–536. https://doi.org/10.1111/1467-9922.00193
Schunk, D. (2011). Learning theories an educational perspective (M. Şahin, Çev.). Nobel.
Sergeant, J. (1996). A theory of attention: An information processing perspective. In G. R. Lyon & N. A. Krasnegor (Eds.), Attention, memory, and executive function (pp. 57– 69). Brookes.
Son, D., De Blasio, M. F., Fogarty, J. S. Angelidis, A., Barry, I. J., & Putman, P. (2019). Frontal EEG theta/beta ratio during mind wandering episodes. Biological Psychology, 140, 19-27. https://doi.org/10.1016/j.biopsycho.2018.11.003
Swart, E. K., Nielen, T. M., Shaul, S., & Sikkema-de Jong, M. T. (2020). Frontal theta/beta-ratio (TBR) as potential biomarker for attentional control during reading in healthy females. Cognition, Brain, Behavior, 24(3), 187-211. https://doi.org/10.1007/s12144-021-02363-6
Thornton, K. E. (2002). Electrophysiological (QEEG) correlates of effective reading: towards a generator/activation theory of the mind. Journal of Neurotherapy, 6(3), 37-66. https://doi.org/10.1300/J184v06n03_04
Tong, X., & Tong, S. X. (2022). How vocabulary breadth and depth influence bilingual reading comprehension: Direct and indirect pathways. Learning and Individual Differences, 100, 102227. https://doi.org/10.1016/j.lindif.2022.102227
Wang, Y., Arslan-Ari, I., & Hao, L. (2022). Strategies are more important than words: A case study of adult English learners’ disciplinary reading. Journal of English for Academic Purposes, 60, 101182. https://doi.org/10.1016/j.jeap.2022.101182  
Wang, Y., Guan, H., Ma, L., Luo, J., Chu, C., Hu, M., ... & Tao, S. (2022). Learning to read may help promote attention by increasing the volume of the left middle frontal gyrus and enhancing its connectivity to the ventral attention network. Cerebral Cortex, 33(5),2260-2272. https://doi.org/10.1093/cercor/bhac206
Wechsler, D. (1991). Wechsler intelligence scale for children (3rd ed.). Psychological Corp.
Xie, J., Zhang, J., Sun, J., Ma, Z., Qin, L., Li, G., ... & Zhan, Y. (2022). A transformer-based approach combining deep learning network and spatial-temporal information for raw EEG classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 2126-2136 https://doi.org/10.1109/TNSRE.2022.3194600
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