Keywords: Education for all; Ideological and political education in curriculum; Classroom teaching
Abstract: In the context of the new era, the concept of “all-round education” provides a systematic methodology for deepening ideological and political education in university courses. This article uses classroom teaching as a vehicle to explore how to address the challenge of separating ideological and political education from professional education through mechanisms that involve all personnel throughout the entire process and in every aspect. Theoretically, it elucidates the synergistic logic between “all-round education” and ideological and political education, emphasizing that classroom teaching should achieve a deep integration of knowledge transmission and value guidance through implicit ideological and political infiltration, dynamic value guidance, and a multi-dimensional evaluation system. Practically, it reveals the current challenges in ideological and political education, such as insufficient synergy, methodological shortcomings, and the lack of an evaluation system. It proposes strategies including “designing a three-dimensional linkage mechanism”, “upgrading teaching implementation methods”, and “building a quality assurance system”. These strategies include innovative approaches like cross-entity collaborative lesson planning, four-dimensional classroom integration, project-based learning, and digital technology empowerment. The study points out that the functional restructuring of classroom teaching is a critical breakthrough for implementing moral education, which requires dual drivers of institutional support and technological empowerment to promote the transformation of educational paradigms from “talent cultivation” to “personnel development”, providing practical solutions to the contemporary questions of “what kind of people to cultivate, how to cultivate them, and for whom they are cultivated”.
Keywords: Chinese relative construction; N400; relatedness proportion; semantic prediction
Abstract: When a context of a strongly constrained sentence structure is
formed, N400 as the ERP component of the follow-up word of the structure
will be reduced in amplitude. Two accounts can explain this: a passive
activation account and a contextual-based prediction account. A dispute lies in
the extent of how each of these accounts influences the N400 element
reduction. This issue is addressed in the present paper in Chinese relative
construction context by formatting semantically associated Chinese relative
construction prime and word target pairs within an experimental context that
encouraged prediction. The proportion of related pairs was used to modulate
the predictive validity of the relative construction prime for the target while
holding constant semantic association. A semantic category probe detection
task was used to encourage subjects to process semantic meaning of these
experimental pairs without their preferences to the trial content of interest. A
larger N400 reduction to related targets was observed in the high-proportion
block of relatedness than under the low condition. The results support the
hypothesis that N400 effects emerge in the predictions of upcoming input. The
results suggest that predictability modulates N400 amplitude in a dominant
way in a constrained context like Chinese relative constructions.