Research on assessment of hybrid teaching mode in colleges stems from deep learning algorithm
by Jinghui Xiu; Yingnan Ye
International Journal of Computational Science and Engineering (IJCSE), Vol. 27, No. 5, 2024

Abstract: The blended learning model combines traditional classroom instruction with online learning and has shown significant impact in higher education. Analysis of its effectiveness reveals a decrease in the root-mean-square deviation and the smallest mean squared error, indicating optimal training results. The network intrusion detection model has the lowest mean absolute error compared to other models. The SecRPSO-SVM model has the smallest average absolute percentage error. This innovative teaching model promotes personalised and autonomous learning, cooperative learning, and interactive communication. The use of deep learning algorithms provides new methods for educational assessment and personalised learning, positively impacting the future development of higher education.

Online publication date: Mon, 09-Sep-2024

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