fa Brain scanning and cognitive language assessment: An EEG analysis of vocabulary test فلسفه ذهن و زبان شناسی شناختی پژوهشي اصیل Research <div dir="ltr" style="text-align: justify;"><span style="font-size:12pt"><span style="line-height:115%"><span><span new="" roman="" style="font-family:" times=""><span style="color:black">Recently, test developers and psychometricians have voiced concern over understanding/improving the language tests&rsquo; psychometric qualities and brain cognition. The present study aimed to scrutinize the probable interconnection between cognitive load and vocabulary test items&rsquo; difficulty estimates. To collect more profound data, the researchers employed a neuro-imaging/brain-scanning approach (via electroencephalography, EEG) on twelve high-school students (age range: 16-18) (i.e., four participants for each proficiency level: elementary, intermediate, and advanced). The researchers used a 21-channel EEG system (Mitsar-EEG-202-1, Russia) in a cognitive-laboratory (ATU) setting. The empirical data were collected via Cambridge Placement Test (CPT) and the international Vocabulary Size Test (140 items) (VST) (</span><a href="file:///C:/Users/Farnoosh/Downloads/Nation,%20P.%20Beglar,%20D.%20A%20vocabulary%20size%20test.%20The%20Language%20Teacher,%202007;31(7):%209–13" style="color:#0563c1; text-decoration:underline"><span style="color:black">1</span></a><span style="color:black">), taken by all participants (selected via purposive sampling from among 60 high-school students) in a face-to-face setting. EEG was applied to right-handed students with no seizure history or head trauma. The data were analyzed through ANOVA and some t-tests to scrutinize the cognitive load imposed by VST. The current case study/brain-scanning quantitative research was conducted with the approval of the Ethics Committee in Biomedical Research of ATU with the approved code of IR.ATU.REC.1400.037. The obtained results demonstrated that EEG as a trustable indicator of cognitive load showed a noticeable difference between the elementary and intermediate levels in theta, beta, delta, and gamma powers, which were observed in all channels. Overall, this study provided some insights into students&rsquo; cognitive load and VST, based on a model of the human brain&rsquo;s architecture and measuring students&rsquo; cognition by brain-scanning technique. </span><span style="color:black" lang="EN-GB"></span></span></span></span></span><br> &nbsp;</div> <div style="text-align: justify;"><span style="font-size:12pt"><span style="line-height:115%"><span style="tab-stops:right 14.1pt"><span new="" roman="" style="font-family:" times=""><span style="color:black">Recently, test developers and psychometricians have voiced concern over understanding/improving the language tests&rsquo; psychometric qualities and brain cognition. The present study aimed to scrutinize the probable interconnection between cognitive load and vocabulary test items&rsquo; difficulty estimates. To collect more profound data, the researchers employed a neuro-imaging/brain-scanning approach (via electroencephalography, EEG) on twelve high-school students (age range: 16-18) (i.e., four participants for each proficiency level: elementary, intermediate, and advanced). The researchers used a 21-channel EEG system (Mitsar-EEG-202-1, Russia) in a cognitive-laboratory (ATU) setting. The empirical data were collected via Cambridge Placement Test (CPT) and the international Vocabulary Size Test (140 items) (VST) (</span><a href="file:///C:/Users/Farnoosh/Downloads/Nation,%20P.%20Beglar,%20D.%20A%20vocabulary%20size%20test.%20The%20Language%20Teacher,%202007;31(7):%209–13" style="color:#0563c1; text-decoration:underline"><span style="color:black">1</span></a><span style="color:black">), taken by all participants (selected via purposive sampling from among 60 high-school students) in a face-to-face setting. EEG was applied to right-handed students with no seizure history or head trauma. The data were analyzed through ANOVA and some t-tests to scrutinize the cognitive load imposed by VST. The current case study/brain-scanning quantitative research was conducted with the approval of the Ethics Committee in Biomedical Research of ATU with the approved code of IR.ATU.REC.1400.037. The obtained results demonstrated that EEG as a trustable indicator of cognitive load showed a noticeable difference between the elementary and intermediate levels in theta, beta, delta, and gamma powers, which were observed in all channels. Overall, this study provided some insights into students&rsquo; cognitive load and VST, based on a model of the human brain&rsquo;s architecture and measuring students&rsquo; cognition by brain-scanning technique. </span><span style="color:black" lang="EN-GB"></span></span></span></span></span><br> &nbsp;</div> Brain-scanning, Cognitive load, Vocabulary test Brain-scanning, Cognitive load, Vocabulary test 29 0 http://icssjournal.ir/browse.php?a_code=A-10-1-101&slc_lang=fa&sid=1 Zari Saeedi Zari Saeedi Saeediz240@yahoo.com 100319475328460015249 100319475328460015249 Yes Department of English Language and Literature, Allameh Tabataba’i University, Tehran, Iran Department of English Language and Literature, Allameh Tabataba’i University, Tehran, Iran Mahdi Rezaei Mahdi Rezaei Mahdirezaei093940@gmail.com 100319475328460015250 100319475328460015250 No Department of English Language and Literature, Allameh Tabataba’i University, Tehran, Iran Department of English Language and Literature, Allameh Tabataba’i University, Tehran, Iran