Review on portable EEG technology in educational research

Abstract This study reviewed recently published scientific literature on the use of portable EEG technology (PEEGT) in educational research. After systematically searching online bibliographic databases, 22 relevant papers were located and included in the study. The results indicate that (1) PEEGT was mainly used in seven research topics: reading context, presentation patterns of learning materials, interactive behavior, edutainment, e-learning, motor skill acquisition, and promoting learning performance with PEEGT; (2) PEEGT was mainly used to evaluate attention and meditation of participants; (3) most EEG experiments were endured less than 60 min, the sample sizes of EEG experiments were small, the largest research group was university students, portable EEG devices used in educational research were mainly developed by NeuroSky Inc. and Emotiv Inc., and 45% of the papers depicted the validity of PEEGT by citing previous studies and only 3 papers assessed the validity of PEEGT by experiments. As PEEGT is still at its early developing stage, it encounters with two big challenges: considerable measuring errors, and inconvenience to wear in large-scale samples and long-time. It also has some research limitations: not only lack of studies in naturalistic classrooms settings and sports education, but also lack of studies in investigating all cognitive aspects. PEEGT would be employed extensively in education field in the near future if it can address the challenges mentioned above.

[1]  Robert J. Barry,et al.  Behavioural differences between EEG-defined subgroups of children with Attention-Deficit/Hyperactivity Disorder , 2011, Clinical Neurophysiology.

[2]  Fotis Liarokapis,et al.  Assessing NeuroSky's Usability to Detect Attention Levels in an Assessment Exercise , 2009, HCI.

[3]  Lennart E. Nacke,et al.  Electroencephalographic Assessment of Player Experience , 2011 .

[4]  T. Egner,et al.  EEG Biofeedback of low beta band components: frequency-specific effects on variables of attention and event-related brain potentials , 2004, Clinical Neurophysiology.

[5]  A. Isen,et al.  The Influence of Positive Affect on Intrinsic and Extrinsic Motivation: Facilitating Enjoyment of Play, Responsible Work Behavior, and Self-Control , 2005 .

[6]  Ming-Chi Liu,et al.  Using Positive Visual Stimuli to Lighten The Online Learning Experience through In Class Questioning , 2016 .

[7]  Cristina Hava Muntean,et al.  ToTCompute: A Novel EEG-Based TimeOnTask Threshold Computation Mechanism for Engagement Modelling and Monitoring , 2016, International Journal of Artificial Intelligence in Education.

[8]  Robert E. Slavin,et al.  Perspectives on Evidence-Based Research in Education—What Works? Issues in Synthesizing Educational Program Evaluations , 2008 .

[9]  Colin Seymour-Ure,et al.  Content Analysis in Communication Research. , 1972 .

[10]  G. McArthur,et al.  Validation of the Emotiv EPOC® EEG gaming system for measuring research quality auditory ERPs , 2013, PeerJ.

[11]  F. Mormann,et al.  Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients , 2000 .

[12]  I-Ming Chen,et al.  A Review on the Use of Robots in Education and Young Children , 2016, J. Educ. Technol. Soc..

[13]  Shaohan Hu,et al.  NeuroPhone: brain-mobile phone interface using a wireless EEG headset , 2010, MobiHeld '10.

[14]  Chih-Ming Chen,et al.  Web-based reading annotation system with an attention-based self-regulated learning mechanism for promoting reading performance , 2014, Br. J. Educ. Technol..

[15]  Q. Wang,et al.  Real-Time Mental Arithmetic Task Recognition From EEG Signals , 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[16]  F. Freeman,et al.  A Closed-Loop System for Examining Psychophysiological Measures for Adaptive Task Allocation , 2000, The International journal of aviation psychology.

[17]  Merlin Teodosia C. Suarez,et al.  Measuring Academic Affective States of Students via Brainwave Signals , 2011, 2011 Third International Conference on Knowledge and Systems Engineering.

[18]  A. Isen,et al.  Affect, accessibility of material in memory, and behavior: a cognitive loop? , 1978, Journal of personality and social psychology.

[19]  Claude Frasson,et al.  LewiSpace: an Exploratory Study with a Machine Learning Model in an Educational Game , 2015 .

[20]  David Ewins,et al.  The Emotiv EPOC neuroheadset: an inexpensive method of controlling assistive technologies using facial expressions and thoughts? , 2011 .

[21]  Maria Napoli,et al.  Mindfulness Training for Teachers: A Pilot Program , 2004 .

[22]  Claes Wohlin,et al.  Systematic literature reviews in software engineering , 2013, Inf. Softw. Technol..

[23]  Yueh-Min Huang,et al.  Using humorous images to lighten the learning experience through questioning in class , 2017, Br. J. Educ. Technol..

[24]  T. J. Sullivan,et al.  A user-friendly SSVEP-based brain–computer interface using a time-domain classifier , 2010, Journal of neural engineering.

[25]  Yueh-Min Huang,et al.  Enhancing learning performance, attention, and meditation using a speech-to-text recognition application: evidence from multiple data sources , 2017, Interact. Learn. Environ..

[26]  Chih-Ming Chen,et al.  Effects of different text display types on reading comprehension, sustained attention and cognitive load in mobile reading contexts , 2016, Interact. Learn. Environ..

[27]  Yueh-Min Huang,et al.  Investigating the effectiveness of speech-to-text recognition applications on learning performance, attention, and meditation , 2017, Educational Technology Research and Development.

[28]  Chih-Ming Chen,et al.  Effects of online synchronous instruction with an attention monitoring and alarm mechanism on sustained attention and learning performance , 2017, Interact. Learn. Environ..

[29]  Claudio Barbaranelli,et al.  Role of affective self-regulatory efficacy in diverse spheres of psychosocial functioning. , 2003, Child development.

[30]  Chern-Sheng Lin,et al.  A novel method for concentration evaluation of reading behaviors with electrical activity recorded on the scalp , 2014, Comput. Methods Programs Biomed..

[31]  D J Kupfer,et al.  The application of EEG sleep for the differential diagnosis of affective disorders. , 1978, The American journal of psychiatry.

[32]  A. Wróbel,et al.  EEG beta band activity is related to attention and attentional deficits in the visual performance of elderly subjects. , 2013, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[33]  Ian Pitt,et al.  Evaluating a Brain-Computer Interface to Categorise Human Emotional Response , 2010, 2010 10th IEEE International Conference on Advanced Learning Technologies.

[34]  Chih-Ming Chen,et al.  Effects of Different Video Lecture Types on Sustained Attention, Emotion, Cognitive Load, and Learning Performance , 2015, 2015 IIAI 4th International Congress on Advanced Applied Informatics.

[35]  L. Pessoa,et al.  Positive emotions broaden the scope of attention and thought‐action repertoires , 2005, Cognition & emotion.

[36]  A. Isen,et al.  Positive affect facilitates creative problem solving , 1987 .

[37]  David Zyngier,et al.  How Motivation Influences Student Engagement: A Qualitative Case Study. , 2012 .

[38]  Chun-Chun Wei,et al.  A comparative study of children's concentration performance on picture books: age, gender, and media forms , 2016, Interact. Learn. Environ..

[39]  Yu-Te Wang,et al.  A cell-phone-based brain–computer interface for communication in daily life , 2010, AICI.

[40]  Ravi Kuber,et al.  Augmenting the Instant Messaging Experience Through the Use of Brain–Computer Interface and Gestural Technologies , 2013, Int. J. Hum. Comput. Interact..

[41]  Hao-Chiang Koong Lin,et al.  Construction of Multi-mode Affective Learning System: Taking Affective Design as an Example , 2016, J. Educ. Technol. Soc..

[42]  E. Deci,et al.  Intrinsic Versus Extrinsic Goal Contents in Self-Determination Theory: Another Look at the Quality of Academic Motivation , 2006 .

[43]  Jerry Chih-Yuan Sun,et al.  The effects of attention monitoring with EEG biofeedback on university students' attention and self-efficacy: The case of anti-phishing instructional materials , 2017, Comput. Educ..

[44]  A. Erez,et al.  The influence of positive affect on the components of expectancy motivation. , 2002, The Journal of applied psychology.

[45]  Yu-Chen Kuo,et al.  Effects of an integrated physiological signal-based attention-promoting and English listening system on students' learning performance and behavioral patterns , 2017, Comput. Hum. Behav..

[46]  Rosa H. M. Chan,et al.  Spectral modulation of frontal EEG during motor skill acquisition: a mobile EEG study. , 2014, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[47]  E. Harmon-Jones Early Career Award. Clarifying the emotive functions of asymmetrical frontal cortical activity. , 2003, Psychophysiology.

[48]  P. Nunez,et al.  A theoretical basis for standing and traveling brain waves measured with human EEG with implications for an integrated consciousness , 2006, Clinical Neurophysiology.

[49]  Jerry Chih-Yuan Sun,et al.  Influence of polling technologies on student engagement: An analysis of student motivation, academic performance, and brainwave data , 2014, Comput. Educ..

[50]  Chih-Ming Chen,et al.  Assessing the attention levels of students by using a novel attention aware system based on brainwave signals , 2017, Br. J. Educ. Technol..

[51]  Cristina Hava Muntean,et al.  A Novel Sensor-Based Methodology for Learner's Motivation Analysis in Game-Based Learning , 2014, Interact. Comput..

[52]  Chih-Chien Wang,et al.  An exploratory study using inexpensive electroencephalography (EEG) to understand flow experience in computer-based instruction , 2014, Inf. Manag..

[53]  Ignacio Alvarez,et al.  Evaluating the ergonomics of BCI devices for research and experimentation , 2012, Ergonomics.

[54]  Min-Yuan Ma,et al.  Influences of Visual Attention and Reading Time on Children and Adults , 2017 .

[55]  Andreas Kerren,et al.  Detecting Insight and Emotion in Visualization Applications with a Commercial EEG Headset , 2011, SIGRAD.

[56]  John R. Anderson Cognitive Psychology and Its Implications , 1980 .

[57]  Dmitri V Poltavski,et al.  The use of single-electrode wireless EEG in biobehavioral investigations. , 2015, Methods in molecular biology.