Data driven decision making dissertation

Data driven decision making dissertation

title: advancing data-driven environmental decision-making and governance in china My dissertation is comprised of four articles that seek to understand the strengths and limitations of applying empirical approaches to environmental policy evaluation and decision-making, with a particular focus on China A METHODOLOGY FOR DATA-DRIVEN DECISION-MAKING IN LAST-MILE DELIVERY OPERATIONS. by EDGAR GUTIERREZ-FRANCO B.S. Universidad de La Sabana, MSc. Universidad de Los Andes, A dissertation submitted in partial fulfillment of the requirements for the degree of the Doctor of PhilosophyAuthor: Edgar Gutierrez Franco Data-Driven Decision Making involves the explicit, prudent use of information provided by stakeholders in decision making processes. Care must be taken not to succumb to the psychological weight afforded to relinquishing existing decision-making processes, instead

"Data-Driven Decision-Making: A Case Study of How A School District Use" by Terese Ann Brecklin

Data-Driven Decision-Making: A Case Study of How A School District Uses Data to Inform Reading Instruction. Terese Ann BrecklinMarquette University. This case study investigated the organizational structure, assessment philosophy, and instructional practices of one Wisconsin public school district in order to learn about the ways in which the district used assessment data to inform reading instruction.

The study was situated within the context of the high-stakes testing environment created by No Child Left Behind legislation. Data from multiple sources informed the study, including documents, interviews, and classroom observations. Participants included three district administrators, three elementary building principals, three elementary reading specialists and seven elementary classroom teachers.

A within and cross-case analysis was conducted to determine the interrelationships between perceptions about assessment and the ways data driven decision making dissertation which this translated into action.

At the time of the study, the district was in the process of transforming itself from a 'district of schools' with strong site autonomy to a 'school district ' with uniform expectations for goal-setting, testing, and professional collaboration focused on data. A long range strategic plan established systematic expectations for the top-down change process.

These initiatives included the use of test data to inform building goals, the implementation of a data driven decision making dissertation district-wide assessment program, and the implementation of Professional Learning Communities, a staff development structure that fostered collaboration focused on data-driven instruction.

These initiatives were implemented within a culture where teachers used data to inform instruction in varying ways, data driven decision making dissertation. Thus, existing district and classroom assessment practices were taking place at the same time that principals, reading specialists, data driven decision making dissertation, and classroom teachers were being exposed new ways of using assessment data to inform reading instruction.

A model of Assessment Categories in Public Education accompanies the study. The model was developed to illustrate the ways in which data might be used to inform decisions within a high stakes environment. Education Commons. Advanced Search. Home About FAQ My Account Accessibility Statement. Privacy Copyright. Skip to main content. e-Publications Marquette. Home About FAQ My Account. Dissertations. Title Data-Driven Decision-Making: A Case Study of How A School District Uses Data to Inform Reading Instruction.

Author Terese Ann BrecklinMarquette University. Abstract Data driven decision making dissertation case study investigated the organizational structure, assessment philosophy, and instructional practices of one Wisconsin public school district in order to learn about the ways in which the district used assessment data to inform reading instruction. DOWNLOADS Since May 21, Included in Education Commons. Enter search terms:. in this series in this repository across all repositories.

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1.2 Data Science Methodology: Data-Driven Decision Making

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"DATA-DRIVEN DECISION MAKING IN COMMUNITY COLLEGES: AN INTEGRATIVE MODE" by Claude Adam Callery

This study examines how a Data Driven Decision Making (DDDM) process is perceived at an elementary school for identifying possible problems, analyzing problems, designing and modifying instruction, and consistently evaluating student learning in an effort to provide knowledge in the field of education on how data is used to inform instruction and blogger.com by: 1 May 21,  · This case study investigated the organizational structure, assessment philosophy, and instructional practices of one Wisconsin public school district in order to learn about the ways in which the district used assessment data to inform reading instruction. The study was situated within the context of the high-stakes testing environment created by No Child Left Behind Author: Terese Ann Brecklin levels of data-data driven decision making are also identified. The proposed framework can be used by manufacturing companies to help them plan and prepare for their own specific development path towards data-driven decision making. Contributing to current understanding, this thesis considers the human decision makers perspective to develop the ability to collect,