Research on construction of learner portrait based on learning analytics technology

Yan Zhou; Haodong Fan

doi:10.1117/12.2673049

14 April 2023 Research on construction of learner portrait based on learning analytics technology

Yan Zhou, Haodong Fan

Proceedings Volume 12612, International Conference on Artificial Intelligence and Industrial Design (AIID 2022); 126120Y (2023) https://doi.org/10.1117/12.2673049
Event: International Conference on Artificial Intelligence and Industrial Design (AIID 2022), 2022, Zhuhai, China

Abstract

With the development of big data, artificial intelligence, and wearable technology, the data generated by learners in the learning process can be fully recorded and stored. Using these data to study the characteristics of different types of learners and provide them with precise and personalized learning guidance is an urgent problem to be solved. This paper proposes a learner portrait construction method based on learning analysis technology. Firstly, the case frame relationship with "learning" as the central verb is established by using case grammar. Secondly, constructing a "learning-learner" feature layer with 6 sub-layers through qualitative analysis, and organizing the primary data of learners into 6 kinds of integrated data with specific meanings. Then, two methods of classifying learner types, cluster analysis and standard establishment, are proposed. Finally, giving an example of learner portrait construction.

Citation Download Citation

Yan Zhou and Haodong Fan "Research on construction of learner portrait based on learning analytics technology", Proc. SPIE 12612, International Conference on Artificial Intelligence and Industrial Design (AIID 2022), 126120Y (14 April 2023); https://doi.org/10.1117/12.2673049

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