Methodology and Experimental Protocol for Fatigue Analysis in Suggestopedia Teachers
Background: Among all professions, teaching is significantly affected by psycho-social risks with approximately 33.33% of educators reporting work-related fatigue. Suggestopedia, an effective pedagogical approach developed in Bulgaria, claims to induce positive psychological and cognitive benefits i...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Brain Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3425/14/12/1215 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846105488318529536 |
|---|---|
| author | Gagandeep Kaur Borislava Kostova Paulina Tsvetkova Anna Lekova |
| author_facet | Gagandeep Kaur Borislava Kostova Paulina Tsvetkova Anna Lekova |
| author_sort | Gagandeep Kaur |
| collection | DOAJ |
| description | Background: Among all professions, teaching is significantly affected by psycho-social risks with approximately 33.33% of educators reporting work-related fatigue. Suggestopedia, an effective pedagogical approach developed in Bulgaria, claims to induce positive psychological and cognitive benefits in both teachers and students. In order to gather scientific evidence, given the above statement, we designed a methodology to detect fatigue in Suggestopedia teachers based on neurocognitive analysis and psychological assessment. Methods: An increase in the EEG theta and alpha band powers is considered among the most reliable markers of fatigue. The proposed methodology introduces a robust framework for fatigue analysis. Initially, the changes in EEG band powers using the resting state EEG activity before and after teaching are measured. Subsequently, validated psychological questionnaires are used to gain subjective feedback on fatigue. The study participants include a control group (traditional teachers) and the test group (suggestopedia teachers) to assess whether suggestopedia practice mitigates fatigue among teachers. Observations: In a pilot study, the EEG data was analyzed by evaluating the interrelations between EEG bands and the alpha–beta ratio. The results of the proposed study are expected to provide comprehensive analysis for the fatigue levels of teachers. In future research, our goal is to position the described methodology as a robust approach for evaluating cognitive and emotional states. |
| format | Article |
| id | doaj-art-4cbf5356be5f4f6184d6167890fb8e06 |
| institution | Kabale University |
| issn | 2076-3425 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj-art-4cbf5356be5f4f6184d6167890fb8e062024-12-27T14:14:48ZengMDPI AGBrain Sciences2076-34252024-11-011412121510.3390/brainsci14121215Methodology and Experimental Protocol for Fatigue Analysis in Suggestopedia TeachersGagandeep Kaur0Borislava Kostova1Paulina Tsvetkova2Anna Lekova3Institute of Robotics, Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., 1113 Sofia, BulgariaInstitute of Robotics, Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., 1113 Sofia, BulgariaInstitute of Robotics, Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., 1113 Sofia, BulgariaInstitute of Robotics, Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., 1113 Sofia, BulgariaBackground: Among all professions, teaching is significantly affected by psycho-social risks with approximately 33.33% of educators reporting work-related fatigue. Suggestopedia, an effective pedagogical approach developed in Bulgaria, claims to induce positive psychological and cognitive benefits in both teachers and students. In order to gather scientific evidence, given the above statement, we designed a methodology to detect fatigue in Suggestopedia teachers based on neurocognitive analysis and psychological assessment. Methods: An increase in the EEG theta and alpha band powers is considered among the most reliable markers of fatigue. The proposed methodology introduces a robust framework for fatigue analysis. Initially, the changes in EEG band powers using the resting state EEG activity before and after teaching are measured. Subsequently, validated psychological questionnaires are used to gain subjective feedback on fatigue. The study participants include a control group (traditional teachers) and the test group (suggestopedia teachers) to assess whether suggestopedia practice mitigates fatigue among teachers. Observations: In a pilot study, the EEG data was analyzed by evaluating the interrelations between EEG bands and the alpha–beta ratio. The results of the proposed study are expected to provide comprehensive analysis for the fatigue levels of teachers. In future research, our goal is to position the described methodology as a robust approach for evaluating cognitive and emotional states.https://www.mdpi.com/2076-3425/14/12/1215electroencephalography (EEG)neurocognitive studypsychological assessmentfatigueresting state EEGsuggestopedia |
| spellingShingle | Gagandeep Kaur Borislava Kostova Paulina Tsvetkova Anna Lekova Methodology and Experimental Protocol for Fatigue Analysis in Suggestopedia Teachers Brain Sciences electroencephalography (EEG) neurocognitive study psychological assessment fatigue resting state EEG suggestopedia |
| title | Methodology and Experimental Protocol for Fatigue Analysis in Suggestopedia Teachers |
| title_full | Methodology and Experimental Protocol for Fatigue Analysis in Suggestopedia Teachers |
| title_fullStr | Methodology and Experimental Protocol for Fatigue Analysis in Suggestopedia Teachers |
| title_full_unstemmed | Methodology and Experimental Protocol for Fatigue Analysis in Suggestopedia Teachers |
| title_short | Methodology and Experimental Protocol for Fatigue Analysis in Suggestopedia Teachers |
| title_sort | methodology and experimental protocol for fatigue analysis in suggestopedia teachers |
| topic | electroencephalography (EEG) neurocognitive study psychological assessment fatigue resting state EEG suggestopedia |
| url | https://www.mdpi.com/2076-3425/14/12/1215 |
| work_keys_str_mv | AT gagandeepkaur methodologyandexperimentalprotocolforfatigueanalysisinsuggestopediateachers AT borislavakostova methodologyandexperimentalprotocolforfatigueanalysisinsuggestopediateachers AT paulinatsvetkova methodologyandexperimentalprotocolforfatigueanalysisinsuggestopediateachers AT annalekova methodologyandexperimentalprotocolforfatigueanalysisinsuggestopediateachers |