@article{LIU2026, 
author = {Yu LIU and Xue-Er ZHANG and Min-Xuan REN},
title = {How Can Dynamic Adjustment of Policy Supply for Smart Education Demonstration Zones Be Realized?},
year = {2026},
journal = {Modern Educational Technology},
volume = {36},
number = {8},
pages = {34-43},
keywords = {smart education demonstration zone, policy supply, policy attention allocation, policy implementation},
url = {https://www.sciopen.com/article/10.3969/j.issn.1009-8097.2026.08.004},
doi = {10.3969/j.issn.1009-8097.2026.08.004},
abstract = {To advance the construction of smart education demonstration zones, it is urgent to establish a scientific and effective policy support system, for which precise quantitative evaluation of current policy schemes serves as an important prerequisite for driving policy optimization and dynamic adjustment. Based on this, the paper first proposes an analytical framework of policy supply for smart education demonstration zones, and then constructs an evaluation index system for such policy supply. Taking policy documents released by 18 national smart education demonstration zones as research objects, this paper adopts the LDA topic model and PMC index model to quantitatively evaluate policy attention allocation and policy supply characteristics, and analyzes policy implementation dilemmas of smart education demonstration zones. The results show that there are differences in policy issue selection preference, policy attention orientation, and policy attention spatio-temporal allocation among different demonstration zones. The policy supply for smart education demonstration zones shows high consistency in overall design and core-element selection, forming three types of demonstration zones include the “resource-talent” oriented type, “technology-service” oriented type, and “security-service” oriented type. In terms of specific policy implementation, each demonstration zones face multi-faceted dilemmas. Finally, from three paths of problem-driven approach, process control, and pressure response, this paper proposes dynamic adjustment strategies for policy supply of smart education demonstration zones, with a view to providing decision-making references for optimizing policy supply quality and promoting the realization of the national strategic goal of “driving overall progress through exemplary pilot sites”.}
}