Article: Analysis and application of college students' academic emotions based on deep learning and psychological status Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.3 pp.125 - 139 Abstract: With the rapid development of artificial intelligence technology, the application of deep learning in the field of education is gradually increasing. This article proposes a method for analysing college students' academic emotions that combines deep learning models with psychological state assessment, in order to help educators gain a more comprehensive understanding of students' emotional changes and optimise teaching effectiveness. By constructing an emotion classification model based on a bidirectional long short-term memory network (Bi LSTM), this paper conducts emotion recognition on academic related short text data of college students, and verifies the emotional state with a psychological scale to ensure the accuracy and effectiveness of emotion recognition. The experimental results show that the proposed method exhibits high accuracy and robustness in emotion classification tasks. Inderscience Publishers - linking academia, business and industry through research

Title: Analysis and application of college students' academic emotions based on deep learning and psychological status

Authors: Yu Wang

Addresses: School of Mechanical Engineering, Henan Institute of Technology, Xinxiang, 453003, China

Abstract: With the rapid development of artificial intelligence technology, the application of deep learning in the field of education is gradually increasing. This article proposes a method for analysing college students' academic emotions that combines deep learning models with psychological state assessment, in order to help educators gain a more comprehensive understanding of students' emotional changes and optimise teaching effectiveness. By constructing an emotion classification model based on a bidirectional long short-term memory network (Bi LSTM), this paper conducts emotion recognition on academic related short text data of college students, and verifies the emotional state with a psychological scale to ensure the accuracy and effectiveness of emotion recognition. The experimental results show that the proposed method exhibits high accuracy and robustness in emotion classification tasks.

Keywords: deep learning; academic emotions; psychological condition; emotion analysis; college student.

DOI: 10.1504/IJICT.2025.144463

International Journal of Information and Communication Technology, 2025 Vol.26 No.3, pp.125 - 139

Received: 08 Dec 2024
Accepted: 18 Dec 2024
Published online: 13 Feb 2025 *

Title: Analysis and application of college students' academic emotions based on deep learning and psychological status

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