Study on the user model construction for substation trainees based on behavior analysis

Qi Gao; Mengyu Ruan; Yukun Fan; Chunlong Lin; Feng Gao

doi:10.1117/12.2668324

20 April 2023 Study on the user model construction for substation trainees based on behavior analysis

Qi Gao, Mengyu Ruan, Yukun Fan, Chunlong Lin, Feng Gao

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 126021A (2023) https://doi.org/10.1117/12.2668324
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

Abstract

Current training systems for substations still lack the tracking and analysis of trainee’s personalized characteristics during studying and training. In this work, we propose a user model construction method for substation trainees based on behavior analysis. The user model establishes an electronic portrait for trainees from the two dimensions of performance and ability. Behavior data of trainees relevant to studying and training are recorded in real time, restored in uniform xAPI-based format, and further analyzed to quantify individual characteristics. A test of the user model is carried out using our substation simulation learning system. The results indicate that, the user model intuitively displays the method, process, attitude, skill and knowledge scores of trainees in one week. Moreover, individual characteristics like motivation, weakness, etc. can be reasonably speculated from the user model of each trainee, which act as important references for subsequent targeted teaching advice and personalized content recommendations.

Citation Download Citation

Qi Gao, Mengyu Ruan, Yukun Fan, Chunlong Lin, and Feng Gao "Study on the user model construction for substation trainees based on behavior analysis", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 126021A (20 April 2023); https://doi.org/10.1117/12.2668324

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KEYWORDS

Education and training

Data modeling

Performance modeling

Analytical research

Databases

Online learning

Systems modeling

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