دورية أكاديمية
Correlations among natural language processing indicators and critical thinking sub-dimensions in HiEd students
| العنوان: | Correlations among natural language processing indicators and critical thinking sub-dimensions in HiEd students |
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| المؤلفون: | Antonella Poce, Francesca Amenduni, Maria Rosaria Re, Carlo De Medio, Alessandra Norgini |
| المصدر: | Formare, Vol 20, Iss 3 (2020) |
| بيانات النشر: | Firenze University Press, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Education |
| مصطلحات موضوعية: | critical thinking, assessment, natural language processing, higher education, pensiero critico, valutazione, Education |
| الوصف: | Most of the attempts to develop and validate tools for the automatic assessment of Critical Thinking (CT) related-skills applied Natural Language Processing techniques (NLP) to English written texts, with a few applications in other languages. Therefore, this research was aimed at understanding which NLP features correlates with six CT sub-dimensions in essays written in Italian language. 206 Master Degree students’ pre-post essays were assessed both by human evaluators and by an algorithm which automatically calculates different kinds of NLP features. We found a positive internal reliability and a medium to high inter-coder agreement of the human evaluators. Three NLP indicators significantly correlate with CT total score: Corpus Length, Syntax Complexity, and an adapted measure of Term Frequency-Inverse Document Frequency. Correlazioni tra indicatori del linguaggio naturale e sotto-dimensioni del pensiero critico in studenti universitari. La maggior parte dei tentativi di sviluppare e validare strumenti per la valutazione automatica delle competenze di Pensiero Critico (CT) ha applicato tecniche di elaborazione del linguaggio naturale (NLP) a testi scritti in inglese, con poche applicazioni in altre lingue. Pertanto, questa ricerca mira a comprendere quali indicatori NLP, estratti da saggi scritti in italiano, correlino con sei sotto-dimensioni del CT. 206 saggi pre-post di studenti di laurea magistrale sono stati valutati sia da esperti umani che da un algoritmo che calcola automaticamente alcuni indicatori NLP. È stata riscontrata una buona attendibilità interna e un accordo inter-giudice medio-alto. Tre indicatori NLP correlano in modo significativo al punteggio di CT totale: lunghezza del testo, complessità della sintassi e una versione adattata del Term Frequency-Inverse Document Frequency. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English Italian |
| تدمد: | 1825-7321 |
| Relation: | https://oaj.fupress.net/index.php/formare/article/view/9902; https://doaj.org/toc/1825-7321 |
| DOI: | 10.13128/form-9902 |
| URL الوصول: | https://doaj.org/article/1b465c3041884a938b94611e11371ac6 |
| رقم الأكسشن: | edsdoj.1b465c3041884a938b94611e11371ac6 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 18257321 |
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| DOI: | 10.13128/form-9902 |