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Investigating response behavior through TF-IDF and Word2vec text analysis: A case study of PISA 2012 problem-solving process data

The process data in computer-based problem-solving evaluation is rich in valuable implicit information. However, its diverse and irregular structure poses challenges for effective feature extraction, leading to varying degrees of information loss in existing methods. Process-response behavior exhibi...

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Autors principals: Jing Zhou, Zhanliang Ye, Sheng Zhang, Zhao Geng, Ning Han, Tao Yang
Format: Artigo
Idioma:Inglês
Publicat: Elsevier 2024-08-01
Col·lecció:Heliyon
Matèries:
Problem-solving
Process data
Feature extraction
TF-IDF
Word2vec
Machine learning
Accés en línia:http://www.sciencedirect.com/science/article/pii/S2405844024119767
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