A Self-Relevant CNN-SVM Model for Problem Classification in K-12 Question-Driven Learning

A Self-Relevant CNN-SVM Model for Problem Classification in K-12 Question-Driven Learning

With the development and progress of science and technology, the learning patterns also evolve. In Question-Driven learning, students clarify and validate what they learn by answering questions. Such a large number of questions needs good management. A well-performed management can avoid the situati...

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Bibliographic Details
Main Authors: Eric Hsiao-Kuang Wu, Sung-En Chen, Jhao-Jhong Liu, Yu-Yen Ou, Min-Te Sun
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Classification
convolutional neural network
support vector machine
Word2Vec
question-driven learning
Online Access:https://ieeexplore.ieee.org/document/9265190/

Internet

https://ieeexplore.ieee.org/document/9265190/

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