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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Detalles Bibliográficos

Principais autores:	Jing Zhou, Zhanliang Ye, Sheng Zhang, Zhao Geng, Ning Han, Tao Yang
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2024-08-01
Series:	Heliyon
Assuntos:	Problem-solving Process data Feature extraction TF-IDF Word2vec Machine learning
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S2405844024119767
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