Abstract
Learning tests play an important role in both traditional learning and online learning. The traditional education test can only report students’ scores or abilities, but not their knowledge level, which is no longer satisfied with people’s requirements. In recent years, DINA model of cognitive diagnosis model has been widely used to diagnose students’ knowledge mastery. DINA model can dig out the students’ knowledge points and give feedback to the teachers, so that the teachers can make remedial plans for the students’ deficiencies in time. This paper first introduces the basic principle of DINA model and the improvement of DINA model in the field of education in recent years. Secondly, we introduce the development of Dina model under the trend of online education, and prove the availability of DINA model in online platform with experimental data. Finally, we predict and analyze the research direction of DINA algorithm in the future.
This work was supported in part by the Hunan Province’s Strategic and Emerging Industrial Projects under Grant 2018GK4035, in part by the Hunan Province’s Changsha Zhuzhou Xiangtan National Independent Innovation Demonstration Zone projects under Grant 2017XK2058, in part by the National Natural Science Foundation of China under Grant 61602171, in part by the Scientific Research Fund of Hunan Provincial Education Department under Grant 17C0960 and 18B037, and in part by the Key Research and Development Program of Hunan Province under Grant 2019SK2161.
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Liu, J., Tang, W., He, X., Yang, B., Wang, S. (2020). Research on DINA Model in Online Education. In: Liu, S., Sun, G., Fu, W. (eds) e-Learning, e-Education, and Online Training. eLEOT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 340. Springer, Cham. https://doi.org/10.1007/978-3-030-63955-6_24
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