Research on the Construction and Dynamic Adjustment Mechanism of University Teacher Portrait System

DOI: https://doi.org/10.62517/jhet.202615221

Author(s)

Xinxin Gao

Affiliation(s)

School of Liberal Education, Liaoning University of International Business and Economics, Dalian, China

Abstract

To address the prominent issues of the lack of a systematic framework and dynamic adjustment mechanisms in university teacher portrait research, this paper constructs a three-layer teacher portrait system covering the data support layer, indicator model layer, and application service layer. It also designs a dynamic adjustment mechanism for the portrait from the dimensions of time, development stage, and application scenario. Empirical research based on real teaching platform data shows that the constructed teaching style classification model achieves an AUC of 0.863, the information technology ability prediction accuracy reaches 86.63%, and the dynamic adjustment mechanism improves portrait matching accuracy by 15.6%. The research findings provide effective support for more scientific and precise university teacher management.

Keywords

Teacher Portrait; Dynamic Adjustment Mechanism; Multimodal Data; University Teacher Management

References

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