A Conceptual Information System for Home–School Collaboration in China
ระบบสารสนเทศเชิงแนวคิดสำหรับการทำงานร่วมกันระหว่างบ้านและโรงเรียนในประเทศจีน
Keywords:
Home–School Collaboration, Information System Framework, Design Science Research, Collaborative Information SystemAbstract
This study addresses the lack of systematic information system frameworks for home–school collaboration in the Chinese educational context, where existing practices rely on fragmented communication tools and lack structured coordination mechanisms. Adopting the design science research paradigm, this study develops and evaluates a conceptual framework to support collaborative decision-making, role clarity, and dynamic feedback integration. The proposed framework integrates three subsystems-home, school, and a central Collaborative Information System (CIS) -within an Input-Process-Output-Feedback (IPOF) closed-loop structure. It incorporates student need-driven inputs, affective state modeling, and technology-mediated coordination to enhance collaboration effectiveness.
The framework was evaluated by seven experts using a five-point Likert scale questionnaire. Results indicate a very high level of overall appropriateness (Mean = 4.55, SD = 0.52) across system components, structural clarity, and logical consistency. Additional analyses, including Kendall’s coefficient (W = 0.198, p < 0.01), interquartile range, and principal component analysis, reveal moderate consensus alongside structured cognitive diversity.It is particularly noteworthy that although Kendall's coefficient of concordance (W = 0.198) is relatively low, the chi-square test yields a significant result (p < 0.01), indicating a statistical consensus among the raters. This apparent discrepancy is attributed to the high concentration of rating scores: the interquartile range (IQR) of all items is no greater than 1, and most experts assigned scores between 4 and 5, which reflects general recognition of the framework. Since Kendall's W is sensitive to rank differences, the minimal data variation and limited discrimination range inevitably result in a low coefficient value.
The findings suggest that the framework provides a theoretically grounded and logically consistent foundation for designing collaborative information systems. Future research should focus on empirical validation through prototype development and real-world implementation.
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