Investigating the Role of Data-Driven Decision-Making Within School Improvement Processes

2021 ◽  
pp. 1707-1725
Author(s):  
Venesser Fernandes
Keyword(s):  
Decision Making ◽  
Organizational Change ◽  
School Improvement ◽  
Critical Role ◽  
Data Driven ◽  
Evidence Based ◽  
Data Driven Decision Making ◽  
Continuous School Improvement ◽  
Decision Making Processes

This chapter provides a detailed literature review exploring the importance of data-driven decision-making processes in current Australian school improvement processes within a context of evidence-based organizational change and development. An investigation into the concept of decision-making and its effect on organizational culture is conducted as change and development are considered to be the new constants in the current discourse around continuous school improvement in schools. In a close examination of literature, this chapter investigates how key factors such as collaboration, communication, and organizational trust are achieved through data-driven decision-making within continuous school improvement processes. The critical role of leadership in sustaining data cultures is also examined for its direct impact on continuous school improvement processes based on evidence-based organizational change and development practices. Future implications of data-driven decision-making to sustain continuous school improvement and accountability processes in Australian schools are discussed.

Investigating the Role of Data-Driven Decision-Making Within School Improvement Processes

2019 ◽  
pp. 201-219 ◽  
Author(s):  
Venesser Fernandes
Keyword(s):  
Decision Making ◽  
Organizational Change ◽  
School Improvement ◽  
Critical Role ◽  
Data Driven ◽  
Evidence Based ◽  
Data Driven Decision Making ◽  
Continuous School Improvement ◽  
Decision Making Processes

This chapter provides a detailed literature review exploring the importance of data-driven decision-making processes in current Australian school improvement processes within a context of evidence-based organizational change and development. An investigation into the concept of decision-making and its effect on organizational culture is conducted as change and development are considered to be the new constants in the current discourse around continuous school improvement in schools. In a close examination of literature, this chapter investigates how key factors such as collaboration, communication, and organizational trust are achieved through data-driven decision-making within continuous school improvement processes. The critical role of leadership in sustaining data cultures is also examined for its direct impact on continuous school improvement processes based on evidence-based organizational change and development practices. Future implications of data-driven decision-making to sustain continuous school improvement and accountability processes in Australian schools are discussed.

scholarly journals Automated Decision-Making and Environmental Impact Assessments: Decisions, Data Analysis and Predictions

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Zoe Nay ◽  
Anna Huggins ◽  
Felicity Deane
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Environmental Impact ◽  
Environmental Law ◽  
Critical Role ◽  
Data Driven ◽  
Data Driven Decision Making ◽  
Environmental Impact Assessments ◽  
Decision Making Processes ◽  
Automated Decision Making

This article critically examines the opportunities and challenges that automated decision-making (ADM) poses for environmental impact assessments (EIAs) as a crucial aspect of environmental law. It argues that while fully or partially automating discretionary EIA decisions is legally and technically problematic, there is significant potential for data-driven decision-making tools to provide superior analysis and predictions to better inform EIA processes. Discretionary decision-making is desirable for EIA decisions given the inherent complexity associated with environmental regulation and the prediction of future impacts. This article demonstrates that current ADM tools cannot adequately replicate human discretionary processes for EIAs—even if there is human oversight and review of automated outputs. Instead of fully or partially automating EIA decisions, data-driven decision-making can be more appropriately deployed to enhance data analysis and predictions to optimise EIA decision-making processes. This latter type of ADM can augment decision-making processes without displacing the critical role of human discretion in weighing the complex environmental, social and economic considerations inherent in EIA determinations.

Roots of Restraint in War: The Capacities and Limits of Law and the Critical Role of Social Agency in Ameliorating Violence in Armed Conflict

2019 ◽  
Vol 10 (1) ◽  
pp. 58-75
Author(s):  
Dale Stephens
Keyword(s):  
Decision Making ◽  
Armed Conflict ◽  
Critical Role ◽  
Humanitarian Law ◽  
Self Identity ◽  
Applicable Law ◽  
Decision Making Processes ◽  
Professional Self ◽  
Training Strategies

Abstract International humanitarian law (ihl) primarily applies to govern the conduct of individuals in the most desperate time of human endeavour, namely armed conflict, in order to ameliorate violence. However, understanding how ihl is disseminated, trained and actually applied in the battlespace is, remarkably, a relatively underexplored area. There are countless volumes dedicated to analyzing and parsing the myriad of words and formulas that comprise this burgeoning body of law. However, there is very little empirical analysis undertaken on effective training strategies and even less on tracking nuanced compliance and decision-making processes in actual armed conflict. Against this background, the 2018 icrc study ‘The Roots of Restraint in War’ offers an insightful account of how to best frame training strategies and how to optimize compliance in the battlespace. It consciously adopts an inter-disciplinary approach. It accepts fully the role of social, ethical and moral factors that can orientate decision making in a manner that combines with the applicable law. The goal is restraint in war, of a type that comes not from clinical compliance with complex legal formulas and interpretative rectitude but is derived from a deeper sense of professional self-identity. It acknowledges the risks inherent in its approach and yet, compellingly, offers a blueprint for melding principles of ihl with a sense of personal commitment. Such an approach is to be celebrated for the audacity and courage that it exhibits.

Student Involvement and Data-Driven Decision Making

2010 ◽  
Vol 43 (4) ◽  
pp. 1246-1271 ◽  
Author(s):  
Brianna L. Kennedy ◽  
Amanda Datnow
Keyword(s):  
Decision Making ◽  
Education Reform ◽  
Educational Reform ◽  
Student Voice ◽  
Student Involvement ◽  
Case Analysis ◽  
Data Driven ◽  
Data Driven Decision Making ◽  
Cross Case Analysis

Existing literature supports the inclusion of students in education reform, documenting benefits for both students and educators. When student voice is not included in reform efforts, these efforts are more likely to flounder. The emerging educational reform of data-driven decision making (DDDM) offers promise for increasing student achievement. However, scant research documents the involvement of students in DDDM reforms. Using a theoretical framework that advocates for democratically involving students in education reform, this cross-case analysis examines the role of students in DDDM reforms in elementary and high schools known to be exemplars of data-driven decision making. Based on findings of efforts made by exemplar districts as well as actions they did not take to involve students, the authors conclude that a new typology is necessary for assessing student involvement in DDDM. Consequently, the authors propose a new three-tiered typology for conceptualizing this phenomenon.

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