DDDM is becoming more widely used in the education field to study the impact of teaching methods on student outcomes. Read this article to explore how educational institutions incorporate situational contexts to help explain causes determined by their DDDM processes.
Introduction
In the era of accountability, data-driven decision making
(DDDM) is a new research area for authentic pedagogy through
monitoring student progress and improving school accountability. It is based on input-and-result oriented indicators such as
school demographics, facilities, budget, standardized test scores,
dropout rates. But the indicators are unlikely to capture a dynamically interactive qualitative characteristics of school organizations featuring a loosely-coupled system and difficult to be
measured or assessed.
School organizations and professional performance have many
invisible and qualitative characteristics that cannot be fully understood and evaluated by input-and-output indicators based on
objective observation, rational and logical analysis, and operational and quantified experiment. Young and Wayman and Springfield identified, in spite of the positive effect on agenda setting for
using data, that schools tend to show distinctive response to use
and approach indicators in terms of their organizational contexts and cultural norms. This means that school organizations
can be understood by indicators for "multi-side description" of
their total qualities such as values and meaning systems formed
within organization, educational experiences and lifestyle, and
the complicated contexts and processes of schooling. Scholars have
referred to these indicators as process indicators.
Process indicators are usually related to the quality and realities of curriculum, instruction, and interaction. They may be useful for describing equal educational opportunity, for monitoring school reform practices such
as change in curriculum, change in organizational structure, change
in pedagogical practice, and for explaining and diagnosing causes
and results of the educational systems. Also, the indicators can be really used for measuring and evaluating authentic student progress such as higherordered thinking, problem solving, student's happiness and satisfaction, prevention of unhealthy behaviors, and social capital. Thus, process indicators need to be complementary to input-and-outcome data for a valid and graphic description, monitoring and explanation of "why" and "how" the
school outcomes occur.
In this paper the author will argue that process indicators produce authentic pedagogy, school effectiveness and accountability.
This paper is to address what accountability indicators are likely
to reveal the distinct contexts and qualitative characteristics of
schools in order to stimulate and improve authentic pedagogy
and accountability and how we capture better qualitative characteristic of teaching and learning, and to draw on schools'
"what's-going-on". In the following sections the author will
cover what DDDM and process indicator are, why process indicators are considered in the loose-coupling school, what are
the relations between DDDM and process data in the era of accountability and then will draw on the implications and suggestions.