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A Pattern Recognition Method of Personalized Adaptive Learning in Online Education

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Abstract

In order to effectively identify the pattern of personalized adaptive learning in online education and improve the recommendation satisfaction of personalized learning resources in online education platform, this paper studies the pattern recognition method of personalized adaptive learning in online education. The learning behavior pattern data in the online education platform are mined, preprocessed, clustered and made correlation analysis, and the obtained data are used to construct the learner’s personalized adaptive learning characteristics model; on this basis, the framework of learning pattern recognition model is constructed to recognize the personalized adaptive learning pattern from four aspects: cognitive level, learning style, interactive behavior pattern characteristics and online social learning characteristics. The experimental test results show that this method can effectively identify the personalized adaptive learning patterns of learners, including interactive learning behavior patterns and online social learning patterns. The personalized learning resources recommended by the online education platform according to the identification results of this paper have obtained the learners’ satisfaction score of a high level at 93.27%.

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Acknowledgements

The paper was funded by the Project on teaching reform of colleges and universities in Hunan Province with No. [2018]-436; Research project on curriculum ideological and political construction of colleges and universities in Hunan Province with No.HNKCSZ-2020-0474; the Research project on teaching reform of Hunan University of Arts and Sciences with No. JGZD1813; Natural Science Foundation of Hunan Province with No.2020JJ5368; the Industry-Academic Cooperation Foundation of the Ministry of Education of China with No. HKEDU-CK-20200413-129.

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Authors and Affiliations

  1. School of Civil Engineering and Architechtur, Hunan University of Arts and Science, Changde, 415000, China

    Peng Peng

  2. College of Information Science and Technology, Hunan Normal University, Changsha, 410000, China

    Weina Fu

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  1. Peng Peng
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  2. Weina Fu
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Correspondence to Weina Fu.

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The authors have no relevant financial or non-financial interests to disclose. Peng Peng provided the algorithm and experimental results, wrote the manuscript, Weina Fu revised the paper, supervised and analyzed the experiment. We also declare that data availability and ethics approval is not applicable in this paper.

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Peng, P., Fu, W. A Pattern Recognition Method of Personalized Adaptive Learning in Online Education. Mobile Netw Appl 27, 1186–1198 (2022). https://doi.org/10.1007/s11036-022-01942-6

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