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Articolul urmator |
629 7 |
Ultima descărcare din IBN: 2024-01-10 19:18 |
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371.136.3:004.4 (1) |
Воспитание. Обучение. Образование (14878) |
Программные средства (303) |
SM ISO690:2012 PENTIUC, Stefan-Gheorghe, BILIUS, Laura-Bianca. The analysis of students opinion about the teachers skills using supervised learning. In: Journal of Social Sciences, 2022, vol. 5, nr. 1, pp. 6-12. ISSN 2587-3490. DOI: https://doi.org/10.52326/jss.utm.2022.5(1).01 |
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Journal of Social Sciences | ||||||
Volumul 5, Numărul 1 / 2022 / ISSN 2587-3490 /ISSNe 2587-3504 | ||||||
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DOI:https://doi.org/10.52326/jss.utm.2022.5(1).01 | ||||||
CZU: 371.136.3:004.4 | ||||||
Pag. 6-12 | ||||||
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Rezumat | ||||||
The system for biannual teachers’ evaluation made by students, acquires a large amount of information that becomes difficult to be analyzed by a manager. It is true that delivers a final score, but it is calculated based only on the answers to the questions with several pre-defined answer options. In their questionnaire, there are also open questions in which students can express themselves freely. These answers contain valuable information, but an educational manager needs a long time to read them all individually. In this paper is proposed an automatic module for interpreting the answers. The module will report to the educational manager only the answers that need to be analyzed. The module uses natural language processing techniques, and supervised machine learning for selecting the answers to be analyzed in a certain context. |
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Cuvinte-cheie degree of satisfaction, machine learning, supervised learning, natural language processing (NLP), sklearn, grad de satisfacție, învăţare automată, învățare supravegheată, procesarea limbajului natural (NLP), sklearn |
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