Learning by explaining to oneself and a peer enhances learners’ theta and alpha oscillations while watching video lectures

British Journal of Educational Technology, Journal Year: 2020, Volume and Issue: 52(2), P. 659 - 679

Published: Nov. 19, 2020

Abstract In the present study, we tested effectiveness of three learning strategies (self‐explanation, by teaching and passive viewing) used students who were from video lectures. Effectiveness was measured not only with traditional measures, but also electroencephalography (EEG). Using a within‐subjects design, 26 university viewed sets short lectures, each presenting different set English vocabulary words asked to use strategy for Participants’ EEG signals assessed while watching videos; experience (self‐reported motivation engagement) performance (vocabulary recall test score) after videos. Repeated measures ANOVAs showed that self‐explaining more beneficial than viewing strategy, as indicated higher theta alpha band power, positive (higher better performance. However, whereas elicited greater neural oscillations related working memory attention compared self‐explanation two groups did differ on self‐reported or Our findings are discussed in terms potential application courses using lectures their heuristic value future research processes differentiate strategies. Practitioner Notes What is already known about this topic Watching does always result learners actively making sense material. Self‐explaining facilitates deep educational settings. Learning paper adds resulted highest power assessment Compared viewing, enhanced students’ try understand material; addition, both amount mental effort put into understanding increased via Implications practice and/or policy Learners encouraged generate explanations during pauses them, order increase learning. learn teaching, can associated attention.

Language: Английский

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EEG Theta Power Activity Reflects Workload among Army Combat Drivers: An Experimental Study

Brain Sciences, Journal Year: 2020, Volume and Issue: 10(4), P. 199 - 199

Published: March 28, 2020

We aimed to evaluate the effects of mental workload variations, as a function road environment, on brain activity army drivers performing combat and non-combat scenarios in light multirole vehicle dynamic simulator. Forty-one non-commissioned officers completed three standardized driving exercises with different terrain complexities (low, medium, high) while we recorded their electroencephalographic (EEG) activity. focused variations theta EEG power spectrum, well-known index workload. also assessed performance subjective ratings task load. The spectrum frontal, temporal, occipital areas were higher during most complex scenarios. Performance (number engine stops) data supported these findings. Our findings strengthen previous results found civilians relationship between driver spectrum. This suggests that can give relevant insight into an objective, unbiased fashion, even real training and/or operations. continuous monitoring warfighter not only allows instantaneous detection over/underload but might provide online feedback system (either automated equipment or crew) take countermeasures prevent fatal errors.

Language: Английский

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Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System

Sensors, Journal Year: 2021, Volume and Issue: 21(21), P. 6985 - 6985

Published: Oct. 21, 2021

Physiological signals are immediate and sensitive to neurological changes resulting from the mental workload induced by various driving environments considered a quantifying tool for understanding association between outcomes cognitive workloads. Neurological assessment, outside of highly-equipped clinical setting, requires an ambulatory electroencephalography (EEG) headset. This study aimed quantify biomarkers during resting state two different scenarios states in virtual environment. We investigated responses seventeen healthy male drivers. EEG data were measured initial state, city-roadways expressway using portable headset simulator. During experiment, participants drove while experiencing workloads due environments, such as road traffic conditions, lane surrounding vehicles, speed limit, etc. The power beta gamma bands decreased, delta waves, theta, frontal theta asymmetry increased relative state. Delta-alpha ratio (DAR) delta-theta (DTR) showed strong correlation with Binary machine-learning (ML) classification models near-perfect accuracy Moderate performances observed multi-class classification. An EEG-based prediction approach may be utilized advanced driver-assistance system (ADAS).

Language: Английский

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Disentangling neocortical alpha/beta and hippocampal theta/gamma oscillations in human episodic memory formation

NeuroImage, Journal Year: 2021, Volume and Issue: 242, P. 118454 - 118454

Published: Aug. 4, 2021

To form an episodic memory, we must first process a vast amount of sensory information about the to-be-encoded event and then bind these representations together to coherent memory trace. While two cognitive capabilities are thought have distinct neural origins, with neocortical alpha/beta oscillations supporting representation hippocampal theta-gamma phase-amplitude coupling mnemonic binding, evidence for dissociation between markers is conspicuously absent. address this, seventeen human participants completed associative task that involved processing three sequentially-presented stimuli, binding stimuli into trace, all while undergoing MEG recordings. We found decreases in power during sequence perception, but not correlated enhanced performance. Hippocampal theta/gamma coupling, however, showed opposite pattern; increases (but perception) These results demonstrate memory-related arise at stages formation process. speculate this temporal reflects functional which could support incoming relevant

Language: Английский

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Looking for the neural basis of memory

Trends in Cognitive Sciences, Journal Year: 2021, Volume and Issue: 26(1), P. 53 - 65

Published: Nov. 23, 2021

Language: Английский

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