Metacognitive ability assessment model based on online learning behavior and deep neural network

Abstract

A Metacognitive Ability Assessment Model Based on Online Learning Behavior and Deep Neural Networks. It includes building a deep neural network model; obtaining and preprocessing online learning behavior data; labeling behavior data; word vector training; deep neural network model training; deep neural network model testing; evaluation of learners' metacognitive ability, etc. stage. The deep neural network model proposed by the present invention based on the online learning behavior can automatically and intelligently evaluate the learner's metacognitive ability. In addition, the Item2Vec algorithm is used in the model to vectorize the behavior sequence data, which can retain the inherent semantic information of the data, and consider extracting metacognitive features from a variety of online learning behavior data to more accurately evaluate the metacognitive ability. Based on the present invention, the current metacognition ability state of online learners can be represented more accurately and intuitively, the metacognition is made explicit, and a guiding basis is provided for teachers to better realize hierarchical teaching.

Description

technical field [0001] The invention belongs to the field of computer application technology, and in particular relates to a metacognitive ability evaluation model based on online learning behavior and deep neural network. Background technique [0002] Online learning has broken the inherent environment of traditional education walls and gradually developed into an important form of current education. In the online learning environment, learners and teachers are usually online asynchronously, which greatly reduces the teacher's effective supervision of learners' learning. Therefore, learners need to have a clear understanding of the individual and the environment, and be able to reasonably plan, monitor and adjust the learning process independently, so as to achieve effective online learning. Metacognition can make learners realize their own cognitive level and skill level, which is a key element for learners to carry out effective online learning. However, metacognition i...

AI Technical Summary

Problems solved by technology

[0003] Metacognition is not easy to observe and obtain, and the current research on metacognitive ability models is still a relatively new research field, basically in the theoretical research stage of the model, and there is a lack of effective model construction technology to make it explicit

Although some researchers have analyzed and studied learners' metacognitive strategies from the perspective of learning behavior analysis, they are mainly based on traditional machine learning techniques to mine behaviors, which cannot meet the needs of learners' metacognitive abilities. Accurate and intelligent evaluation of

Images