Research on Personalized Graduate Training Model in the Digital-Intelligent Era from the Perspective of Constructivist Learning Theory

Abstract

The digital intelligence era presents unprecedented opportunities and challenges for higher education. As a critical link in cultivating top-notch innovative talents, graduate education urgently needs to transition toward personalization and precision. Grounded in the core tenets of constructivist learning theory, this paper reexamines the prevalent issues of homogenization and unidirectionality in current graduate training curricula. To address these challenges, we propose a "Five-in-One" personalized training model centered on "collaborative agency, adaptive content, interactive modalities, contextualized practice, and value-added evaluation." This model emphasizes a graduate-centered approach, leveraging big data and artificial intelligence to foster a novel educational ecosystem that supports active knowledge construction and personalized development, thereby offering an innovative paradigm for graduate education reform in the new era.