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脑电图技术的教育研究图景与趋势基于年国际文(10)
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摘要:[42]Steiner,N.J.,Sheldrick,R.C.,Yeh,K.P.C.(2017).The Effects of Attention Monitoring with EEG Biofeedback on University Students’Attention and Self-Efficacy:The Case of Anti-Phishing Instructional M
[42]Steiner,N.J.,Sheldrick,R.C.,&Gotthelf,D.et al.(2011).Computer-Based Attention Training in the Schools for Children with Attention Deficit/Hyperactivity Disorder:A Preliminary Trial[J].Clinical Pediatrics,50(7):615-622.
[43]Sun,J.C.Y.,&Yeh,K.P.C.(2017).The Effects of Attention Monitoring with EEG Biofeedback on University Students’Attention and Self-Efficacy:The Case of Anti-Phishing Instructional Materials[J].Computers&Education,106:73-82.
[44]Takehana,K.,&Matsui,T.(2016).Association Rules on Relationships Between Learner’s Physiological Information and Mental States During Learning Process[C]//International Conference on Human Interface and the Management of Vegas,USA:Springer:209-219.
[45]Tawatsuji,Y.,Uno,T.,&Fang,S.et al.(2018).Real-TimeEstimation ofLearners’ MentalStatesfrom Learners’Physiological Information Using Deep Learning[C]//Proceedings of the 26th International Conference on Computers in ,Philippines:ICCE:107-109.
[46]Terrenghi,I.,Diana,B.,&Zurloni,V.et al.(2019).Episode of Situated Learning to Enhance Student Engagement and Promote Deep Learning:Preliminary Results in a High School Classroom[J].Frontiers in Psychology,10(6):1-13.
[47]Thibault,R.T.,Lifshitz,M.,&Raz,A.(2016).The Self-Regulating Brain and Neurofeedback: Experimental Science and Clinical Promise[J].Cortex,74(11):247-261.
[48]Tromp,J.,Peeters,D.,&Meyer,A.S.et al.(2018).The Combined Use of Virtual Reality and EEG to Study Language Processing in Naturalistic Environments[J].Behavior Research Methods,50(2):862-869.
[49]Wolpaw,J.R.,Birbaumer,N.,&Heetderks,W.J.et al.(2000).Brain-Computer Interface Technology:A Review of the First International Meeting[J]. IEEE Transactions on Rehabilitation Engineering,8(2):164-173.
[50]Wolpert,D.M.,Ghahramani,Z.,&Flanagan,J.R.(2001).Perspectives and Problems in Motor Learning[J].Trends in Cognitive Sciences,5(11):487-494.
[51]Wong,S.W.,Chan,R.H.,&Mak,J.N.(2014).SpectralModulation ofFrontalEEG During MotorSkill Acquisition:A Mobile EEG Study[J].International Journal of Psychophysiology,91(1):16-21.
[52]Xu,J.,&Zhong,B.(2018).Review on Portable EEG Technology in Educational Research[J].Computers in Human Behavior,81(4):340-349.
[53]Xu,T.,Zhou,Y.,&Wang,Z.et al.(2018).Learning Emotions EEG-Based Recognition and Brain Activity:A Survey Study on BCI for Intelligent Tutoring System[J].Procedia Computer Science,130(5):376-382.
[54]Yang,X.,Lin,L.,&Cheng,P.et al.(2019a).Which EEG Feedback Works Better for Creativity Performance in Immersive Virtual Reality:The Reminder or Encouraging Feedback?[J].Computers in Human Behavior,99(10):345-351.
[55]Yang,X.,Cheng,P.,&Lin,L.et al.(2019b).Can an Integrated System ofElectroencephalography and Virtual Reality Further the Understanding of Relationships Between Attention,Meditation,Flow State,and Creativity?[J].Journal of Educational Computing Research,57(4):846-876.
[56]Yang,X.,Lin,L.,&Cheng,P.et al.(2018).Examining Creativity Through a Virtual Reality Support System[J].Educational TechnologyResearchandDevelopment,66(5):1231-1254.
[57]Zhang,J.,Chen,M.,& Zhao,S.et al.(2016).ReliefF-Based EEG Sensor Selection Methods for Emotion Recognition[J].Sensors,16(10):1-15.
[58]Zhai,X.,Fang,Q.,&Dong,Y.et al.(2018).The Effects of Biofeedback-Based Stimulated Recall on Self-Regulated Online Learning:A Gender and Cognitive Taxonomy Perspective[J].Journal ofComputerAssistedLearning,34(6):775-786.
[59]Zimmerman,B.J.(1989).A Social Cognitive View of Self-Regulated Academic Learning[J].Journal of Educational Psychology,81(3):329-339.
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