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    Data Driven Decision Making For School Leadership: A Critical Analysis Of Supporting Systems

    Access Status
    Fulltext not available
    Authors
    Sampson, Demetrios
    Sergis, S.
    Date
    2016
    Type
    Book Chapter
    
    Metadata
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    Citation
    Sampson, D. and Sergis, S. 2016. Data Driven Decision Making For School Leadership: A Critical Analysis Of Supporting Systems, in Huang, R. and Kinshuk and Price, J. (eds), ICT in education in global context: comparative reports of K-12 schools innovation, pp. 145-171. Berlin: Springer.
    Source Title
    ICT in education in global context: comparative reports of K-12 schools innovation
    DOI
    10.1007/978-3-662-47956-8_8
    ISBN
    978-3-662-47955-1
    School
    School of Education
    URI
    http://hdl.handle.net/20.500.11937/50490
    Collection
    • Curtin Research Publications
    Abstract

    Schools are complex adaptive systems comprising a vast range of interrelating agents including among others, the school principals, teachers, students, parents, and infrastructural assets. Therefore, school leaders are required to design the strategic plan of their schools by taking into account the full spectrum of the characteristics and behaviors of these agents and the complex manner in which they interrelate and affect the overall school performance. However, considering (a) the high complexity in collecting and processing the institution-wide data and towards generating feedback loops and (b) the wide range of the tasks that school leaders are expected to engage with, this data-driven decision-making process is challenging, and requires appropriate systems to support it. The contribution of this book chapter, therefore, is the critical analysis of 70 existing school leadership decision support systems (SL-DSS), in terms of their capacity to adequately support the full spectrum of school leadership tasks, as they are defined in this book chapter. This critical analysis aims to gather insights that could drive future implementations of SL-DSS toward providing more effective decision support affordances and tackling the identified shortcomings of existing systems.

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