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Ιδρυματικό Αποθετήριο [SANDBOX]
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| URI | http://purl.tuc.gr/dl/dias/A5C1517B-7B6E-4EAE-97A7-E8FFA907E6E5 | - |
| Αναγνωριστικό | https://doi.org/10.1007/s10639-023-11645-4 | - |
| Αναγνωριστικό | https://link.springer.com/article/10.1007/s10639-023-11645-4 | - |
| Γλώσσα | en | - |
| Μέγεθος | 24 pages | en |
| Τίτλος | A bio-inspired computational classifier system for the evaluation of children’s theatrical anxiety at school | en |
| Δημιουργός | Mastrothanasis Konstantinos | en |
| Δημιουργός | Zervoudakis Konstantinos | en |
| Δημιουργός | Ζερβουδακης Κωνσταντινος | el |
| Δημιουργός | Kladaki Maria | en |
| Δημιουργός | Tsafarakis Stelios | en |
| Δημιουργός | Τσαφαρακης Στελιος | el |
| Εκδότης | Springer | en |
| Περίληψη | Theatrical performance constitutes a complicated way for students to express and to communicate with each other, since it targets both various artistic and educational goals. Even though it constitutes a top moment of students’ expression, several students do not feel comfortable when participating in such cultural activities, as performance anxiety, a negative emotional experience stemming from the public audience exposure, affects them. The aim of this research is to apply and evaluate a student segmentation technique with the help of bio-inspired computational intelligence, for identifying high levels of performance anxiety at schoolchildren. A Mayfly-based clustering optimization algorithm is applied on a dataset with 774 instances of students to classify them according to their levels of emotions and performance anxiety that are developed during the event. A comparison with a genetic algorithm as well as particle swarm optimization shows that the proposed method is distinguished by superior categorization capabilities. The findings demonstrate the effective dissimilar student groups formation, with the members of each being distinguished by similar characteristics in terms of emotions and performance anxiety, highlighting the ones with unmanageable emotional experiences. Therefore, the drama educator is able to effortlessly detect, manage students and develop coping practices in those at risk, by acknowledging each group’s characteristics. | en |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2025-04-15 | - |
| Ημερομηνία Δημοσίευσης | 2023 | - |
| Θεματική Κατηγορία | Mayfly clustering | en |
| Θεματική Κατηγορία | Bio-inspired computational intelligence approach | en |
| Θεματική Κατηγορία | Student segmentation | en |
| Θεματική Κατηγορία | Theatrical performance anxiety | en |
| Θεματική Κατηγορία | Anxiety detection | en |
| Θεματική Κατηγορία | School theatrical performance | en |
| Βιβλιογραφική Αναφορά | K. Mastrothanasis, K. Zervoudakis, M. Kladaki and S. Tsafarakis, “A bio-inspired computational classifier system for the evaluation of children’s theatrical anxiety at school,” Educ. Inf. Technol., vol. 28, no. 9, pp. 11027–11050, Sep. 2023, doi: 10.1007/s10639-023-11645-4. | en |
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