Discovering action insights from large-scale assessment log data using machine learning

Discovering action insights from large-scale assessment log data using machine learning

Abstract This study introduces a novel machine learning algorithm that combines natural language processing techniques, such as Word2Vec and Doc2Vec, with neural networks to identify and validate significant actions within human action sequences. Using the 2012 Program for the International Assessme...

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Bibliographic Details
Main Authors: Minyoung Yun, Minjeong Jeon, Heyoung Yang
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Human action sequence
Meaningful actions
Machine learning
Natural language processing
PIAAC log data
Online Access:https://doi.org/10.1038/s41598-025-14802-6
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