Abraham A (2014) Creative thinking as orchestrated by semantic processing vs. cognitive control brain networks. Front Human Neurosci 8:95. https://doi.org/10.3389/fnhum.2014.00095

Article  Google Scholar 

Abraham A, Pieritz K, Thybusch K, Rutter B, Kröger S, Schweckendiek J, Stark R, Windmann S, Hermann C (2012) Creativity and the brain: Uncovering the neural signature of conceptual expansion. Neuropsychologia 50(8):1906–1917. https://doi.org/10.1016/j.neuropsychologia.2012.04.015

Article  PubMed  Google Scholar 

Acı Çİ, Kaya M, Mishchenko Y (2019) Distinguishing mental attention states of humans via an EEG-based passive BCI using machine learning methods. Expert Syst Appl 134:153–166. https://doi.org/10.1016/j.eswa.2019.05.057

Article  Google Scholar 

Al-Nafjan A, Aldayel M (2022) Predict students attention in online learning using EEG data. Sustainability 14(11):6553. https://doi.org/10.3390/su14116553

Article  Google Scholar 

Andrews-Hanna JR (2012) The brain’s default network and its adaptive role in internal mentation. Neuroscientist 18(3):251–270. https://doi.org/10.1177/1073858411403316

Article  PubMed  Google Scholar 

Antonenko P, Paas F, Grabner R, Van Gog T (2010) Using electroencephalography to measure cognitive load. Educ Psychol Rev 22:425–438. https://doi.org/10.1007/s10648-010-9130-y

Article  Google Scholar 

Antonietti C, Schmitz M-L, Consoli T, Cattaneo A, Gonon P, Petko D (2023) Development and validation of the ICAP technology Scale to measure how teachers integrate technology into learning activities. Comput Educ 192:104648. https://doi.org/10.1016/j.compedu.2022.104648

Article  Google Scholar 

Aziz-Zadeh L, Liew S-L, Dandekar F (2013) Exploring the neural correlates of visual creativity. Soc Cognit Affect Neurosci 8(4):475–480. https://doi.org/10.1093/scan/nss021

Article  Google Scholar 

Beaty RE, Benedek M, Wilkins RW, Jauk E, Fink A, Silvia PJ, Hodges DA, Koschutnig K, Neubauer AC (2014) Creativity and the default network: a functional connectivity analysis of the creative brain at rest. Neuropsychologia 64:92–98. https://doi.org/10.1016/j.neuropsychologia.2014.09.019

Article  PubMed  PubMed Central  Google Scholar 

Berlucchi G (2014) Visual interhemispheric communication and callosal connections of the occipital lobes. Cortex 56:1–13. https://doi.org/10.1016/j.cortex.2013.02.001

Article  PubMed  Google Scholar 

Bhise PR, Kulkarni SB, Aldhaheri TA (2021) Survey on assessment of cognitive states during learning activities using brain computer interface based EEG. Int J Comput Appl 975:8887

Google Scholar 

Binder JR, Desai RH, Graves WW, Conant LL (2009) Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies. Cereb Cortex 19(12):2767–2796. https://doi.org/10.1093/cercor/bhp055

Article  PubMed  PubMed Central  Google Scholar 

Bisley JW, Goldberg ME (2010) Attention, intention, and priority in the parietal lobe. Annu Rev Neurosci 33:1–21. https://doi.org/10.1146/annurev-neuro-060909-152823

Article  CAS  PubMed  PubMed Central  Google Scholar 

Bloom BS, Krathwohl DR (2020) Taxonomy of educational objectives: the classification of educational goals. Book 1, Cognitive domain. longman

Caballero-Gaudes C, Van de Ville D, Grouiller F, Thornton R, Lemieux L, Seeck M, Lazeyras F, Vulliemoz S (2013) Mapping interictal epileptic discharges using mutual information between concurrent EEG and fMRI. Neuroimage 68:248–262. https://doi.org/10.1016/j.neuroimage.2012.12.011

Article  PubMed  Google Scholar 

Cao J, Garro EM, Zhao Y (2022) EEG/FNIRS based workload classification using functional brain connectivity and machine learning. Sensors 22(19):7623. https://doi.org/10.3390/s22197623

Article  PubMed  PubMed Central  Google Scholar 

Chi MT (2009) Active-constructive-interactive: A conceptual framework for differentiating learning activities. Top Cogn Sci 1(1):73–105. https://doi.org/10.1111/j.1756-8765.2008.01005.x

Article  PubMed  Google Scholar 

Chi MTH, Adams J, Bogusch EB, Bruchok C, Kang S, Lancaster M, Levy R, Li N, McEldoon KL, Stump GS, Wylie R, Xu D, Yaghmourian DL (2018) Translating the ICAP theory of cognitive engagement into practice. Cogn Sci 42(6):1777–1832. https://doi.org/10.1111/cogs.12626

Article  Google Scholar 

Chi MTH, Wylie R (2014) The ICAP framework: linking cognitive engagement to active learning outcomes. Educat Psychol 49(4):219–243. https://doi.org/10.1080/00461520.2014.965823

Article  Google Scholar 

Chrysikou EG (2019) Creativity in and out of (cognitive) control. Curr Opin Behav Sci 27:94–99. https://doi.org/10.1016/j.cobeha.2018.09.014

Article  Google Scholar 

Custo A, Van De Ville D, Wells WM, Tomescu MI, Brunet D, Michel CM (2017) Electroencephalographic resting-state networks: source localization of microstates. Brain Connect 7(10):671–682. https://doi.org/10.1089/brain.2016.0476

Article  PubMed  PubMed Central  Google Scholar 

da Silva FL (2013) EEG and MEG: relevance to neuroscience. Neuron 80(5):1112–1128. https://doi.org/10.1016/j.neuron.2013.10.017

Article  CAS  Google Scholar 

Del Val C, Díaz de la Guardia-Bolívar E, Zwir I, Mishra PP, Mesa A, Salas R, Poblete GF, de Erausquin G, Raitoharju E, Kähönen M (2024) Gene expression networks regulated by human personality. Mol Psychiatry 1–20

Diykh M, Li Y, Wen P, Li T (2018) Complex networks approach for depth of anesthesia assessment. Measurement 119:178–189. https://doi.org/10.1016/j.measurement.2018.01.024

Article  Google Scholar 

El Kerdawy M, El Halaby M, Hassan A, Maher M, Fayed H, Shawky D, Badawi A (2020) The automatic detection of cognition using EEG and facial expressions. Sensors 20(12):3516. https://doi.org/10.3390/s20123516

Article  PubMed  PubMed Central  Google Scholar 

Elkerdawy M, Elhalaby M, Hassan A, Maher M, Shawky D, Badawi A (2020) Building cognitive profiles of learners using EEG. In: 2020 11th International conference on information and communication systems (ICICS), pp 027–032

Fair DA, Cohen AL, Power JD, Dosenbach NU, Church JA, Miezin FM, Schlaggar BL, Petersen SE (2009) Functional brain networks develop from a “local to distributed” organization. PLoS Comput Biol 5(5):e1000381. https://doi.org/10.1371/journal.pcbi.1000381

Article  CAS  PubMed  PubMed Central  Google Scholar 

Fan J, McCandliss BD, Fossella J, Flombaum JI, Posner MI (2005) The activation of attentional networks. Neuroimage 26(2):471–479. https://doi.org/10.1016/j.neuroimage.2005.02.004

Article  PubMed  Google Scholar 

Fu L, Zhao J, Sun J, Yan Y, Ma M, Chen Q, Qiu J, Yang W (2022) Everyday creativity is associated with increased frontal electroencephalography alpha activity during creative ideation. Neuroscience 503:107–117. https://doi.org/10.1016/j.neuroscience.2022.09.005

Article  CAS  PubMed  Google Scholar 

Galy E, Cariou M, Mélan C (2012) What is the relationship between mental workload factors and cognitive load types? Int J Psychophysiol 83(3):269–275. https://doi.org/10.1016/j.ijpsycho.2011.09.023

Article  PubMed  Google Scholar 

Gaweda AM, Lynch CF (2021) Student practice sessions modeled as ICAP activity silos

Gunning D, Aha D (2019) DARPA’s explainable artificial intelligence (XAI) program. AI Mag 40(2):44–58. https://doi.org/10.1609/aimag.v40i2.2850

Article  Google Scholar 

Gysels E, Celka P (2004) Phase synchronization for the recognition of mental tasks in a brain-computer interface. IEEE Trans Neural Syst Rehabil Eng 12(4):406–415. https://doi.org/10.1109/TNSRE.2004.838443

Article  PubMed  Google Scholar 

Herlin B, Navarro V, Dupont S (2021) The temporal pole: from anatomy to function—a literature appraisal. J Chem Neuroanat 113:101925. https://doi.org/10.1016/j.jchemneu.2021.101925

Article  PubMed  Google Scholar 

Hobert S, Følstad A, Law EL-C (2023) Chatbots for active learning: a case of phishing email identification. Int J Hum Comput Stud 179:103108. https://doi.org/10.1016/j.ijhcs.2023.103108

Article  Google Scholar 

Hooi LS (2018) A novel method for tracking and analysis of EEG activation across brain lobes. Biomed Signal Process Control

Hsiao J-C, Chen S-K, Chen W, Lin SSJ (2022) Developing a plugged-in class observation protocol in high-school blended STEM classes: student engagement, teacher behaviors and student-teacher interaction patterns. Comput Educ 178:104403. https://doi.org/10.1016/j.compedu.2021.104403

Article  Google Scholar 

Hu W, Zhang Z, Zhao H, Zhang L, Li L, Huang G, Liang Z (2023) EEG microstate correlates of emotion dynamics and stimulation content during video watching. Cereb Cortex 33(3):523–542. https://doi.org/10.1093/cercor/bhac082

Article