2017
DOI: 10.12973/iji.2017.1024a
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The Relationship between Attention Levels and Class Participation of First-Year Students in Classroom Teaching Departments

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Cited by 34 publications
(26 citation statements)
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“…The headset can detect brainwave signals in the form of meditation and attention scores. According to the EEG e-Sense Metric, attention and meditation data are scaled from 1 to 100 (40 to 60: natural state, 60 to 80: slightly high, 80 to 100: very high, 20 to 40: slightly low, and 0 to 20: very low) [ 28 , 29 ]. The SDM [ 30 ] and STAI [ 31 ] were used to study the participant's physiological responses in both environments.…”
Section: Methodsmentioning
confidence: 99%
“…The headset can detect brainwave signals in the form of meditation and attention scores. According to the EEG e-Sense Metric, attention and meditation data are scaled from 1 to 100 (40 to 60: natural state, 60 to 80: slightly high, 80 to 100: very high, 20 to 40: slightly low, and 0 to 20: very low) [ 28 , 29 ]. The SDM [ 30 ] and STAI [ 31 ] were used to study the participant's physiological responses in both environments.…”
Section: Methodsmentioning
confidence: 99%
“…We used e-Sense™ software for EEG data processing. Specifically, brain wave signals during states of relaxation and attention can be sorted from weak to strong on a scale from 1 to 100 by this software ( Sezer et al, 2017 ). Psychological data included the profile of mood states (POMS) and the semantic differential (SD) method.…”
Section: Methodsmentioning
confidence: 99%
“…The device is designed to interpret the electrical activity that occurs in brain waves [22]. The raw value of brain waves can be collected via a sensor tip, placed on the left side of the forehead (frontal lobe).…”
Section: Electroencephalogram Recordingmentioning
confidence: 99%