EEG lecture on recommended activities for the induction of attention and concentration mental states on e-learning students

Arana-Llanes, Julia Y.; Serna, Juan Gabriel González; Pineda-Tapia, Rodrigo; Olivares-Peregrino, Víctor Hugo; Ricarte, Jorge Javier; Postigo, José Miguel Latorre

doi:10.3233/jifs-169517

Cited by 21 publications

(9 citation statements)

References 3 publications

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“…The research findings showed that the use of contemporary technologies and mobile applications increased the time of concentration in learning. The IDM STEM interdisciplinary didactic model was designed to encourage concentration and is adapted to the individual; the average concentration time when using this model in all activities was 9 minutes and 47 seconds, which can be compared to the results of similar research in the field of neuroscience (Arana-Llanes et al, 2018;Liu et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

Stem Education in Eco-Farming Supported by Ict and Mobile Applications

Pajk¹,

Isacker²,

Aberšek

et al. 2021

JBSE

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The presented research focused on developing and testing an innovative interdisciplinary STEM didactic model. The developed didactic model was introduced in the field of eco-farming. To the participants, it offers the possibility for non-formal training, which can take place anywhere and anytime. Participants require some knowledge of STEM subjects (especially chemistry and biology) as well as knowledge of ecology, technology, and engineering, in order to provide answers and solutions to environmental challenges while using knowledge of mathematics (especially combinatorics and statistics) to search for optimal solutions (in our case, a lean business plan). The model was tested in non-formal education settings, based on an interdisciplinary approach and modern technologies, such as monitoring the effectiveness of training using electroencephalography (EEG) and mobile applications. In the presented didactic model, special emphasis was placed on an interdisciplinary STEM approach to environmental protection, ecology, connatural forms of production and sustainable development. The presented research confirms the hypotheses that non-formal education is becoming an increasingly important form of education and training, and that the use of the interdisciplinary didactic model, contemporary technologies, and mobile applications, increases the time and intensity of concentration in learning and thus improves learning effectiveness. Keywords: eco-farming, electroencephalography, environment protection, mobile learning, non-formal education, sustainable development

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Section: Discussionmentioning

confidence: 99%

Stem Education in Eco-Farming Supported by Ict and Mobile Applications

Pajk¹,

Isacker²,

Aberšek

et al. 2021

JBSE

View full text Add to dashboard Cite

show abstract

“…Beta waves are associated with conscious activities and can be used as guidelines for measuring the cognitive process [18]. Beta activity is important because it can enhance the levels of concentration, attention, emotional stability, and energy [19]. As the fastest brainwaves, gamma waves can indicate anxiety and advanced cognitive information, such as reasoning and judgment [20].…”

Section: Discussionmentioning

confidence: 99%

Neurological Measurement of Human Trust in Automation Using Electroencephalogram

Oh¹,

Seong²,

Sun³

et al. 2020

IJFIS

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“…The details of each research area and the equipment from different companies are: Education: Only eight articles were found in this area with two companies. Five articles used Emotiv equipment [36][37][38][39][40] and another three articles used the equipment from InteraXon company [41][42][43].…”

Section: Rq1: What Are the Publication Trends Based On Eeg Equipment?mentioning

confidence: 99%

Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain–Computer Interfaces: A Systematic Literature Review

Jamil

Belkacem

Ouhbi

et al. 2021

Sensors

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Humans interact with computers through various devices. Such interactions may not require any physical movement, thus aiding people with severe motor disabilities in communicating with external devices. The brain–computer interface (BCI) has turned into a field involving new elements for assistive and rehabilitative technologies. This systematic literature review (SLR) aims to help BCI investigator and investors to decide which devices to select or which studies to support based on the current market examination. This examination of noninvasive EEG devices is based on published BCI studies in different research areas. In this SLR, the research area of noninvasive BCIs using electroencephalography (EEG) was analyzed by examining the types of equipment used for assistive, adaptive, and rehabilitative BCIs. For this SLR, candidate studies were selected from the IEEE digital library, PubMed, Scopus, and ScienceDirect. The inclusion criteria (IC) were limited to studies focusing on applications and devices of the BCI technology. The data used herein were selected using IC and exclusion criteria to ensure quality assessment. The selected articles were divided into four main research areas: education, engineering, entertainment, and medicine. Overall, 238 papers were selected based on IC. Moreover, 28 companies were identified that developed wired and wireless equipment as means of BCI assistive technology. The findings of this review indicate that the implications of using BCIs for assistive, adaptive, and rehabilitative technologies are encouraging for people with severe motor disabilities and healthy people. With an increasing number of healthy people using BCIs, other research areas, such as the motivation of players when participating in games or the security of soldiers when observing certain areas, can be studied and collaborated using the BCI technology. However, such BCI systems must be simple (wearable), convenient (sensor fabrics and self-adjusting abilities), and inexpensive.

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EEG lecture on recommended activities for the induction of attention and concentration mental states on e-learning students

Cited by 21 publications

References 3 publications

Stem Education in Eco-Farming Supported by Ict and Mobile Applications

Stem Education in Eco-Farming Supported by Ict and Mobile Applications

Neurological Measurement of Human Trust in Automation Using Electroencephalogram

Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain–Computer Interfaces: A Systematic Literature Review

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