Model of Collaborative Network for Promoting the Enhancement of Educational Provision Efficiency of Child Development Center under Local Administrative Organization
Keywords:
Model, Collaborative Network, Education Provision Efficiency, Child Development CentersAbstract
This research aimed to: (1) develop a collaborative network model to enhance the efficiency of educational provision in child development centers (CDCs) under Local Administrative Organizations, and (2) assess the quality of the developed model. Employing a research and development (R&D) design, the study collected quantitative data from 1,620 respondents through validated questionnaires. Data
analysis involved descriptive statistics and latent growth curve modeling. Qualitative data were also obtained from 158 relevant Thai and international documents, and interviews with 56 experts and stakeholders. The proposed model consists
of key elements, including development rationale, objectives, operational plans, implementation guidelines, and evaluation strategies. It comprises four core operational components: (1) Related and Specific (RS), (2) Unique and Optional
(UO), (3) Informative and Challenging (IC), and (4) Flexible and Adaptable (FA). The model follows the PDCA (Plan-Do-Check-Act) cycle and incorporates self-assessment, internal monitoring, and external supervision to ensure quality implementation. Model evaluation involved stakeholders such as CDC heads, early childhood teachers, academic institutions, and network partners. Results confirmed the model's relevance, practicality, and appropriateness in terms of content, activities, and time management. The trial application demonstrated a consistent upward
trend in performance indicators, with latent growth rates increasing from April to September 2023. Initial mean scores ranged from 1.756 to 1.985, while slope means ranged from 0.529 to 0.813. Model fit indices indicated strong alignment with empirical data. The findings suggest that the collaborative network model
effectively supports capacity building and educational enhancement in CDCs through multisectoral collaboration.
References
Boudria, A, Lafifi, Y., & Bordjiba, Y. (2018). Collaborative calibrated peer assessment in massive open online courses. International Journal of Distance Education Technologies, 16(1),76-102.
Daudi, M., Hauge, J. B., & Thoben, K. D. (2016). Behavioral factors influencing partner trust in logistics collaboration: A review. Logistics Research, 9(1), 9–19.
Hassan, E. M. & Mahmoud, H. (2021). Healthcare and education networks interaction as an indicator of social services stability following natural disasters. Scientific Reports, 1164, 1-15.
Froehlich, D., Rehm, M., & Rienties, B. (2020). Reviewing mixed methods approaches using social network analysis for learning and education. In: Peña-Ayala, A. (eds) Educational Networking. Lecture Notes in Social Networks (pp.43-75). Cham: Springer.
Hou, B., Hong, J., & Shi, X. (2021). Efficiency of university–industry collaboration and its determinants: evidence from Chinese leading universities. Industry and Innovation, 28(4), 456-485.
Kemmis, S. (1988). The Action Research Planner. (2nd ed.). Australia: Deakin University Press.
Local Administrative Organization. (2022). National Standard for Early Childhood Care Development and Education. Bangkok: Local Administrative Organization.
Ministry of Education. (2017). Early Childhood Curriculum B.E. 2560 (A.D. 2017). Bangkok: Aksornthai Printing.
Ministry of Education. (2022). The basic education plan B.E. 2565 (A.D. 2022). Bangkok: Office of the Basic Education Commission [in Thai].
Ministry of Education. (2023). Basic education development plan Bangkok: Office of the Basic Education Commission
Morton, P.G. (2005) Critical Care Nursing, a Holistic Approach. (8thed.). Philadelphia: Lippincott William Wilkins.
Sagor, R. (2004). What project LEARN reveals about collaborative action research. Educational Leadership, 49(6), 6–10.
Tilhou, R., Eckhoff, A. & Rose, B. (2021). A collective impact organization for early childhood: Increasing access to quality care by uniting community sectors. Early Childhood Education Journal, 49(1), 111-123.
Turvey, K. (2019). Professional provenance and the narrative construction of ‘reality’ in education. In Sikes, P., and Novakovich, Y. (Eds), Storying the Public Intellectual: Commentaries on the Impact and Influence of the Work of Ivor Goodson (pp. 10). London: Routledge.
Lu, W., & Wen, B. (2020). Construction and research of education emergency network model based on complex network: A case study of child abuse incident in Beijing RYB education pre-school. 2nd International Conference on Computer Science and Educational Informatization (pp. 75-79). Xinxiang, China.
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