A Cognitive Level Evaluation Method Based on a Deep Neural Network for Online Learning: From a Bloom's Taxonomy of Cognition Objectives Perspective.

ABSTRACT: The evaluation of the learning process is an effective way to realize personalized online learning. Real-time evaluation of learners' cognitive level during online learning helps to monitor learners' cognitive state and adjust learning strategies to improve the quality of online learning. However, most of the existing cognitive level evaluation methods use manual coding or traditional machine learning methods, which are time-consuming and laborious. They cannot fully mine the implicit cognitive semantic information in unstructured text data, making the cognitive level evaluation inefficient. Therefore, this study proposed the bidirectional gated recurrent convolutional neural network combined with an attention mechanism (AM-BiGRU-CNN) deep neural network cognitive level evaluation method,

SUBMITTER: Cheng Y 

PROVIDER: S-EPMC8551629 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature