Affective Cognition of Students’ Autonomous Learning in College English Teaching Based on Deep Learning

Abstract

Emotions can influence and regulate learners’ attention, memory, thinking, and other cognitive activities. The similarities and differences between English and non-English majors in terms of English classroom learning engagement were compared, and the significant factors affecting the emotional, cognitive, and behavioral engagement of the two groups of students in the English classroom were different. English majors’ affective engagement in the classroom was not significant, which was largely related to their time and frequency of English learning. Traditional methods of learner emotion recognition suffer from low recognition rate, complex algorithms, poor robustness, and easy to lose key information about facial expression features. The paper proposes a convolutional neural network-based learner emotion recognition method, which includes three convolutional layers, three pooling layers, and one fully connected layer. In the future, the method will can be applied to the construction of smart learning environments, providing technical support for improving learner models, realizing emotional interactions, and mining learning behaviors, etc.

A systematic review on cross-culture, humor and empathy dimensions in conversational chatbots: the case of second language acquisition

“…(2019) Open-domain dialog systems To employ a multi-turn chatbot with the goal of learning and creating emotional reactions that humans are now capable of 4 participants The chatbot monitors the discussion environment and provides replies that are more emotionally suitable while doing similarly well on grammar Xie et al. (2021) Virtual reality (VR) technology To mix immersion-based English instruction with VR technology in order to increase learning results 106 Chinese Students The findings indicated that students enjoyed exploring English culture and appreciating its history and customs Zhang (2021) CNN interactive agent The research offers a convolutional neural network-based method for recognizing how learners' attention, memory, reasoning N/A This research facilitates the realization of harmonious emotional contact in the innovative learning environment in real-time and without disrupting the learners' usual online learning …”

“…The authors underline the significance of emotional identification of the chatbot by offering an appropriate response to improve learners' willingness to interact and learn. Yet, out of seventeen studies, only one article ( Zhang, 2021 ) presented an empathetic detecting algorithm. In Zhang's study, the author proposed a convolutional neural network, which comprises of three convolutional layers, three pooling layers, and one connected layer to detect L2 learners' emotions and generate appropriate responses to enhance learning.…”

COVID-19 online teaching intervention and learning performance of college foreign language students

“…Learning input in foreign language learning is a multidimensional construct, specifically referring to the degree of effort or investment students make in language knowledge and skills and related knowledge in the learning process ( Guo and Liu, 2016 ; Yang et al, 2020 ). The most important variables positively and directly affecting foreign language learning effectiveness include behavioral, cognitive, emotional, and social input ( Liu and Guo, 2021 ; Zhang, 2022 ). However, at present, overall learner participation ( Yang et al, 2020 ) and course completion rates ( Rao and Wan, 2020 ) are low for online learning, which will inevitably impact the effectiveness of online teaching and learning.…”

The Effects of General Listening Anxiety and Listening Test Anxiety on Self-Perceived Listening Performance Among Chinese English Learners

“… 39 However, the measurement of different intensity of FLLA between English and non-English majors has been neglected. Previous studies have given great attention to the differences between English and non-English majors in motivation, 40 , 41 engagement, 42 and learning environment. 43 These differences may reveal different learning styles of EFL learners; thereby we believed that there may be some differences in FLLA between English and non-English major students.…”