@inproceedings{chitez-etal-2025-assessing,
title = "Assessing Critical Thinking Components in {R}omanian Secondary School Textbooks: A Data Mining Approach to the {ROTEX} Corpus",
author = "Chitez, Madalina and
Dinu, Liviu and
Micluta-Campeanu, Marius and
Bucur, Ana-Maria and
Rogobete, Roxana",
editor = {Kochmar, Ekaterina and
Alhafni, Bashar and
Bexte, Marie and
Burstein, Jill and
Horbach, Andrea and
Laarmann-Quante, Ronja and
Tack, Ana{\"i}s and
Yaneva, Victoria and
Yuan, Zheng},
booktitle = "Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.bea-1.56/",
doi = "10.18653/v1/2025.bea-1.56",
pages = "780--793",
ISBN = "979-8-89176-270-1",
abstract = "This paper presents a data-driven analysis of Romanian secondary school textbooks through the lens of Bloom{'}s Taxonomy, focusing on the promotion of critical thinking in instructional design. Using the ROTEX corpus, we extract and annotate almost 2 million words of Romanian Language and Literature textbooks (grades 5-8) with Bloom-aligned labels for verbs associated with pedagogical tasks. Our annotation pipeline combines automatic verb extraction, human filtering based on syntactic form and task relevance, and manual assignment of Bloom labels supported by in-text concordance checks. The resulting dataset enables fine-grained analysis of task complexity both across and within textbooks and grade levels. Our findings reveal a general lack of structured cognitive progression across most textbook series. We also propose a multi-dimensional framework combining cognitive-level and linguistic evaluation to assess instructional design quality. This work contributes annotated resources and reproducible methods for NLP-based educational content analysis in low-resource languages."
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%0 Conference Proceedings
%T Assessing Critical Thinking Components in Romanian Secondary School Textbooks: A Data Mining Approach to the ROTEX Corpus
%A Chitez, Madalina
%A Dinu, Liviu
%A Micluta-Campeanu, Marius
%A Bucur, Ana-Maria
%A Rogobete, Roxana
%Y Kochmar, Ekaterina
%Y Alhafni, Bashar
%Y Bexte, Marie
%Y Burstein, Jill
%Y Horbach, Andrea
%Y Laarmann-Quante, Ronja
%Y Tack, Anaïs
%Y Yaneva, Victoria
%Y Yuan, Zheng
%S Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-270-1
%F chitez-etal-2025-assessing
%X This paper presents a data-driven analysis of Romanian secondary school textbooks through the lens of Bloom’s Taxonomy, focusing on the promotion of critical thinking in instructional design. Using the ROTEX corpus, we extract and annotate almost 2 million words of Romanian Language and Literature textbooks (grades 5-8) with Bloom-aligned labels for verbs associated with pedagogical tasks. Our annotation pipeline combines automatic verb extraction, human filtering based on syntactic form and task relevance, and manual assignment of Bloom labels supported by in-text concordance checks. The resulting dataset enables fine-grained analysis of task complexity both across and within textbooks and grade levels. Our findings reveal a general lack of structured cognitive progression across most textbook series. We also propose a multi-dimensional framework combining cognitive-level and linguistic evaluation to assess instructional design quality. This work contributes annotated resources and reproducible methods for NLP-based educational content analysis in low-resource languages.
%R 10.18653/v1/2025.bea-1.56
%U https://aclanthology.org/2025.bea-1.56/
%U https://doi.org/10.18653/v1/2025.bea-1.56
%P 780-793
Markdown (Informal)
[Assessing Critical Thinking Components in Romanian Secondary School Textbooks: A Data Mining Approach to the ROTEX Corpus](https://aclanthology.org/2025.bea-1.56/) (Chitez et al., BEA 2025)
ACL