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Research on the Ecosystem of Digital Intelligence-Enabled Undergraduate Thesis Management under the Background of Teacher Education Accreditation

Author(s)

Zhangling Wu

Affiliation(s)

Sichuan Minzu College, Luding, Sichuan, China

Abstract

Under the backdrop of the vigorous development of digital intelligence technology and the in-depth advancement of teacher education accreditation, the management of undergraduate theses is confronted with numerous dilemmas in traditional models, such as outdated and impractical thesis topics, insufficient data processing capabilities, frequent academic misconduct, inefficient processes, and fragmented resources. To address these issues, this paper proposes integrating digital intelligence technology into the thesis management process based on the teacher education accreditation concepts of "student-centered, outcome-oriented, and continuous improvement". It aims to build a collaborative and symbiotic management ecosystem involving multiple subjects through approaches such as constructing a "practice-oriented" topic selection and guidance system, upgrading an integrated management platform, and integrating diverse data resources. This ecological optimization can not only improve the quality of undergraduate theses and promote the modernization of higher education, but also facilitate the precise alignment between teacher training in normal majors and the needs of basic education. It provides practical support for the "continuous improvement" requirement of teacher education accreditation and offers practical references for the digital and intelligent transformation of university thesis management.

Keywords

Teacher Education Accreditation; Digital Intelligence Empowerment; Undergraduate Thesis; Management Ecosystem

References

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