Academic Emotion Classification and Recognition Method for Large-scale Online Learning Environment-Based on A-CNN and LSTM-ATT Deep Learning Pipeline Method.

Xiang Feng,Yongmei Ma,Xianglin Pan,Longhui Qiu,Yaojia Wei

doi:10.3390/ijerph17061941

Abstract

Subjective well-being is a comprehensive psychological indicator for measuring quality of life. Studies have found that emotional measurement methods and measurement accuracy are important for well-being-related research. Academic emotion is an emotion description in the field of education. The subjective well-being of learners in an online learning environment can be studied by analyzing academic emotions. However, in a large-scale online learning environment, it is extremely challenging to classify learners’ academic emotions quickly and accurately for specific comment aspects. This study used literature analysis and data pre-analysis to build a dimensional classification system of academic emotion aspects for students’ comments in an online learning environment, as well as to develop an aspect-oriented academic emotion automatic recognition method, including an aspect-oriented convolutional neural network (A-CNN) and an academic emotion classification algorithm based on the long short-term memory with attention mechanism (LSTM-ATT) and the attention mechanism. The experiments showed that this model can provide quick and effective identification. The A-CNN model accuracy on the test set was 89%, and the LSTM-ATT model accuracy on the test set was 71%. This research provides a new method for the measurement of large-scale online academic emotions, as well as support for research related to students’ well-being in online learning environments.

Highlights

Subjective well-being is a comprehensive psychological indicator that can be used to measure quality of life, and it has an important impact on many aspects, such as people’s health, work status, and social relations [1,2]
In an online learning environment, teachers and course builders need to understand what kind of academic emotions students have developed for which aspect in order to undertake necessary and effective interventions to improve the well-being of students in the online learning environment
According to the academic emotion tagged data, we can see that in the distribution of aspect classification, the largest proportion of student comments was for teachers, followed by the course

Summary

Introduction

Subjective well-being is a comprehensive psychological indicator that can be used to measure quality of life, and it has an important impact on many aspects, such as people’s health, work status, and social relations [1,2]. Report [3] states that children with positive emotions are more likely to grow into happy, confident, and healthy adults, which is of great significance for social development and improvement of people’s well-being. Subjective well-being emerges when people experience a positive emotional experience that is greater than a negative emotional experience [4]. Various studies have used emotion measurement to study its relationship with well-being [5,6,7]. Related studies have shown that positive and negative emotions have significant predictive effects on subjective well-being [8]. Public Health 2020, 17, 1941; doi:10.3390/ijerph17061941 www.mdpi.com/journal/ijerph

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