Research on the construction of a long-term mechanism for balanced allocation of lifelong education resources for the elderly under the guidance of supply-demand matching
Main Article Content
Abstract
Against the backdrop of an aging population, lifelong education for the elderly has shifted from a welfare oriented cultural activity to an important public service that actively responds to aging, builds a learning society, and enhances grassroots governance resilience. The total supply of elderly education resources continues to expand, but there are still significant differences between regions, urban and rural areas, age groups, health conditions, and digital abilities. There is also a structural mismatch between curriculum supply, venue openness, teacher allocation, platform services, and the real learning needs of the elderly. This article takes supply and demand matching as the main line, and based on sorting out policy requirements, demographic changes, and elderly learning characteristics, constructs an analytical framework that connects demand identification, resource classification, balanced evaluation, dynamic scheduling, and collaborative governance. Research suggests that the balanced allocation of lifelong education resources for the elderly should not be limited to equal distribution and project expansion. Instead, a long-term mechanism should be established around accessibility, adaptability, sustainability, and quality benefits. Precise resource allocation can be achieved through data profiling, tiered supply, cross departmental coordination, digital platform support, community embedding, and feedback evaluation. The article further proposes paths for financial security, teacher sharing, curriculum co construction, compensation for key groups, and risk prevention and control, in order to provide reference for the high- quality development of elderly education.
Downloads
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
B. Huang, K. Song, T. Zhang, et al., “Solving Power Supply Stability Issues in Remote Agricultural Areas Based on an Improved Sliding-Mode Active Disturbance Rejection Control Method,” Agriculture, vol. 15, no. 7, pp. 674– 674, 2025. DOI: 10.3390/AGRICULTURE15070674.
L. Junhui, W. Yu, M. Liangyuan, et al., “Power supply stability analysis of power networks considering load-risk-emergency multi-source data,” Applied Mathematics and Nonlinear Sciences, vol. 10, no. 1, 2025. DOI: 10.2478/AMNS-2025-0144.
Q. Huang, W. Mei, L. Zhang, et al., “Construction of Measurement Model for Ultimate Carrying Capacity of Medium Voltage Distribution Network Based on Genetic Neural Network,” Journal of Electrical Engineering & Technology, vol. 19, no. 7, pp. 3999–4012, 2024. DOI: 10.1007/S42835-024-01885-W.
L. Chen, “Overview of the Application of Automatic Control Theory in Power Engineering,” Journal of Engineering System, vol. 1, no. 2, 2023. DOI: 10.62517/JES.202302205.
Y. Peihuan, Y. Leibo, W. Xianzheng, et al., “Multi-objective planning and optimization of microgrid lithium iron phosphate battery energy storage system consider power supply status and CCER transactions,” International Journal of Hydrogen Energy, vol. 47, no. 69, pp. 29925–29944, 2022. DOI: 10.1016/J.IJHYDENE.2022.06.300.
W. Yongli, S. Yaling, Z. Yuli, et al., “Optimal modeling and analysis of microgrid lithium iron phosphate battery energy storage system under different power supply states,” Journal of Power Sources, vol. 521, 2022. DOI: 10.1016/J.JPOWSOUR.2021.230931.
L. Yu, X. Jianjun, P. Lichao, et al., “Research on capacity allocation optimization of a wind-photovoltaic-hybrid-battery power generation system with multi-energy complementary,” E3S Web of Conferences, vol. 358, 2022. DOI: 10.1051/E3SCONF/202235801039.
S. Yoganand, S. P, V. I, et al., “Machine Learning-Based Predictive the Forecasting of Short Term Wind Speed,” Journal of Physics: Conference Series, vol. 1964, no. 5, 2021. DOI: 10.1088/1742-6596/1964/5/052007.
Y. Li, S. Su, F. Hu, et al., “Optimal Configuration Method of Primary and Secondary Integrated Intelligent Switches in the Active Distribution Network Considering Comprehensive Fault Observability,” Energies, vol. 17, no. 16, pp. 3945–3945, 2024. DOI: 10.3390/EN17163945.
L. Gaotong, N. Juan, G. Zhifei, et al., “Stability Test on Power Supply to the Xenon Lamp of Solar Simulator,” Journal of Physics: Conference Series, 1820(1)012142-, 2021. DOI: 10.1088/1742-6596/1820/1/012142.
Z. Shuangxi, S. Wei, D. Fangming, et al., “A Novel Passive Wireless Sensing Method for Concrete Chloride Ion Concentration Monitoring.,” Sensors (Basel, Switzerland), vol. 17, no. 12, pp. 2871–2871, 2017. DOI: 10.3390/s17122871.
K. Singh and K. G. Singh, “Stability assessment of isolated six-phase induction generator feeding static loads,” TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, vol. 24, no. 5, pp. 4218–4230, 2016.
T. Hölttä, T. Linkosalo, A. Riikonen, et al., “An analysis of Granier sap flow method, its sensitivity to heat storage and a new approach to improve its time dynamics,” Agricultural and Forest Meteorology, 211-2122-12, 2015. DOI: 10.1016/j.agrformet.2015.05.005.
L. Mengxing, Z. Lechuan, H. Chao, et al., “[Optimal design of portable ambulatory blood pressure monitor based on STM32L].,” Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation, vol. 38, no. 5, pp. 345–9, 2014.
D. S. Zhang, S. L. Li, L. H. Zhao, et al., “The Optimization Strategy of Loop Closing Operation in Self-Healing Distribution Network,” Applied Mechanics and Materials, vol. 3009, no. 519-520, pp. 1375–1378, 2014. DOI: 10.4028/www.scientific.net/AMM.519-520.1375.
“Analysis of Interrelated Factors Affecting Efficiency and Stability of Power Supply in Nigeria,” International Journal of Energy Engineering, vol. 2, no. 1, 2012.
C. Liu and C. Ding, “RETRACTED: Microstructure and tribological characterizations of Ni-based self-lubricating coating,” Wear, vol. 268, no. 3-4, pp. 599–604, 2010. DOI: 10.1016/j.wear.2009.10.008.
F. Xie, D. Jiang, Y. Du, et al., “A Diagnostic Criterion for Power Capacitor in Distribution Network,” in Atlantis Press, 2015. DOI: 10.2991/ISRME-15.2015.477.
K. Yuan, “Research on the Stability of Power Supply in Electronic Communication,” in Atlantis Press, 2016. DOI: 10.2991/EMIM-16.2016.215.
S. Chao and L. Wei, “Research and Analysis on Production Safety Management of Power Enterprises,” in Atlantis Press, 2018. DOI: 10.2991/MEICI-18.2018.278.