Lida Zou This email address is being protected from spambots. You need JavaScript enabled to view it.1,2
1School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250014, China 2Key Laboratory of Machine Learning and Financial Data Mining in Universities of Shandong, Jinan 250014, China
Received: October 27, 2021 Accepted: March 21, 2022 Publication Date: June 17, 2022
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
With the development and maturity of intelligent interactive devices, introduction of devices into classroom has become inevitable tendency in order to enhance the teaching effect. At present there exist two difficulties when using devices in engineering. It is hard to get cognitive state of students based on multiple monitoring devices. Moreover, how to interact with students using devices intelligently, personally and automatically is challenging in order to improve student’s cognition. To solve the above problems, in the paper we design an intelligent management solution about multidimensional interactive devices and propose an active learning algorithm. We aim to improve the judgment and intervention of students’ cognition. The extensive experiments demonstrate that the proposed method performs 21% and 43% better than benchmark algorithm, respectively in prediction accuracy and intervention effect for students’ cognition.
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