Data-driven decision making in community colleges

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Release : 2012
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Data-driven decision making in community colleges - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data-driven decision making in community colleges write by Claude Adam Callery. This book was released on 2012. Data-driven decision making in community colleges available in PDF, EPUB and Kindle.

Data-Driven Decision Making in the Community College Context

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Release : 2019
Genre : Community colleges
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Data-Driven Decision Making in the Community College Context - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data-Driven Decision Making in the Community College Context write by Eliza Raquel Arata. This book was released on 2019. Data-Driven Decision Making in the Community College Context available in PDF, EPUB and Kindle. This case study explored how data-driven decision making occurred within institutional planning activities at a California community college. The problem statement for this research was that the practice of data-driven decision making for program effectiveness within community colleges has not been clearly defined and understood within the literature. The research question asked, "What enables data-driven decision making within a variety of routine planning activities, including how do practitioners employ data-driven decision making and what processes are utilized in data-driven decision making?" This study utilized a descriptive case study methodology. A descriptive case study is an empirical inquiry that investigates a case in depth and within its real-world context (Yin, 2014). Using a combination of one-on-one interviews, document review, and observations, this study gathered data on organizational routines and processes, the people involved in planning, and the process and tools used within planning. Three major findings were that (a) data-driven decision making is enabled by organizational structure, dialogue, the availability of data reports, and support and guidance by institutional research professionals; (b) practitioners employ data-driven decision making by tracking various metrics, detecting barriers to goals, identifying needs, and adjusting practices accordingly; and (c) stakeholders within a college approach institutional planning with certain expectations and assumptions that reflect the college's broader culture. The findings indicated: (a) the design of the college's institutional planning structure and processes impacts how data-driven decision making is employed at a college; (b) stakeholders tend to form meaning together and dialogue about data is one avenue that facilitates the meaning-making process; (c) data collection is key, thus the research questions guiding data collection are also key; (d) the data-driven decision-making process includes using data to reach a decision as well as acting on or responding to the information or newly created knowledge; and (e) the practice of data-driven decision making is influenced by organizational culture. The recommendations suggest ways that community colleges, leaders, and practitioners can support or facilitate data-driven decision making within institutional planning activities.

Statistics Made Simple for School Leaders

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Release : 2002-10-16
Genre : Education
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Book Rating : 19X/5 ( reviews)

Statistics Made Simple for School Leaders - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistics Made Simple for School Leaders write by Susan Rovezzi Carroll. This book was released on 2002-10-16. Statistics Made Simple for School Leaders available in PDF, EPUB and Kindle. The chief executive officer of a corporation is not much different from a public school administrator. While CEOs base many of their decisions on data, for school administrators, this type of research may conjure up miserable memories of searching for information to meet a graduate school requirement. However, the value of data-based decision making will continue to escalate and the school community—students, teachers, parents and the general public—expect this information to come from their administrators. Administrators are called on to be accountable, but few are capable of presenting the mountain of data that they collect in a cohesive and strategic manner. Most statistical books are focused on statistical theory versus application, but Statistics Made Simple for School Leaders presents statistics in a simple, practical, conceptual, and immediately applicable manner. It enables administrators to take their data and manage it into strategic information so the results can be used for action plans that benefit the school system. The approach is 'user friendly' and leaves the reader with a confident can-do attitude to communicate results and plans to staff and the community.

Transforming Teaching and Learning Through Data-Driven Decision Making

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Release : 2012-04-10
Genre : Business & Economics
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Book Rating : 049/5 ( reviews)

Transforming Teaching and Learning Through Data-Driven Decision Making - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Transforming Teaching and Learning Through Data-Driven Decision Making write by Ellen B. Mandinach. This book was released on 2012-04-10. Transforming Teaching and Learning Through Data-Driven Decision Making available in PDF, EPUB and Kindle. "Gathering data and using it to inform instruction is a requirement for many schools, yet educators are not necessarily formally trained in how to do it. This book helps bridge the gap between classroom practice and the principles of educational psychology. Teachers will find cutting-edge advances in research and theory on human learning and teaching in an easily understood and transferable format. The text's integrated model shows teachers, school leaders, and district administrators how to establish a data culture and transform quantitative and qualitative data into actionable knowledge based on: assessment; statistics; instructional and differentiated psychology; classroom management."--Publisher's description.

Data-driven Decision Making for Effective School Leadership

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Release : 2006
Genre : Education
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Data-driven Decision Making for Effective School Leadership - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data-driven Decision Making for Effective School Leadership write by Anthony G. Picciano. This book was released on 2006. Data-driven Decision Making for Effective School Leadership available in PDF, EPUB and Kindle. Brief ContentsPrefacePrologue Concepts and Foundations of Data-Driven Decision Making Introduction to Data-Driven Decision Making Planning and Developing Information Resources Hardware, Software, and People Educational Research Methods and Tools Teachers and Administrators as Researchers Basic Applications Student Data, Demographics, and Enrollments School and the Community Financial Management and Budgeting Supporting Teaching and Learning Supporting Teachers and Their Professional Development Technical Support Review of Statistical Routines Used in this Book Introduction to Spreadsheet Software Introduction to the Statistical Package for the Social Sciences (SPSS) Database Management Terms and Sample Outline Internet Resources for Data-Driven Decision MakingGlossaryIndex Contents PrefacePrologue Concepts and Foundations of Data-Driven Decision Making Introduction to Data-Driven Decision Making Rationale for Adopting Data-Driven Decision Making Purpose of This Book Defining Data-Driven Decision Making An Old Idea: Knowledge Is Power Need for Planning The Systems Approach Organization of This Book SummaryReferences Planning and Developing Information Resources School Districts Take the Lead Defining Information Needs Database Management Systems Long-Term and Short-Term Data Resources SummaryCase StudyReferences Hardware, Software, and People A Brief Look at Infrastructure Hardware for Effective Data Management and Access Client-Server Architecture Software for Data Analysis Developing People Resources The Data Analyst SummaryCase StudyReferences Educational Research Methods and Tools The Scientific Method and Educational Research Educational Research Methods Ethnographic Research Historical Research Descriptive Research Correlational Research Causal Comparative Research Experimental Research Action Research Data Collection Tools Direct Observation Structured Interviews Document Analysis Surveys Test Instruments SummaryCase StudyReferences Teachers and Administrators as Researchers Learning Communities Action Research in Action Trial Testing a Peer Tutoring Program Multiple Intelligences in a Foreign Language Program Advancing to an Inclusion Program SummaryActivitiesReferences Basic Applications Student Data, Demographics, and Enrollments Student Data Enrollment Projections at the District Level Attendance Zones and Individual Schools Taking a Census Special Student Populations SummaryActivitiesReferences School and the Community Partnering with the Community: Broad-Based Surveys Anatomy of a Survey Who Will Participate in the Survey? What Data Will Be Collected? Data Analysis Is the Sample Representative of the High School Population? Do Students Have Access to the Internet? The Committee's Next Steps SummaryActivitiesReferences Financial Management and Budgeting Basic Terminology School District Budget School Budget The Canton Alternative School Budget Emergency SummaryActivitiesReferences Supporting Teaching and Learning States, Cities, Districts, Schools, Classes, Teachers, Students Improving Teaching and Learning Jefferson Middle School Developing a Plan Information Overload: A Caution SummaryActivitiesReferences Supporting Teachers and Their Professional Development Summative and Formative Evaluation Collecting Personnel Data Kingsland School District Case Study Keeping Track of Professional Development SummaryActivitiesReferences Technical Support Review of Statistical Routines Used in this Book Key Terms Descriptive Statistical Procedures Frequency Distributions Contingency Tables (Crosstabulations) Measures of Central Tendency Measures of Dispersion Measures of Relationship Correlational Coefficient Linear Regression Caution Introduction to Spreadsheet Software Overview and Key Terms Spreadsheet Structure Data Types and Data Manipulation Charts and Graphics Introduction to the Statistical Package for the Social Sciences (SPSS) Overview The Data Editor Creating a Data Set Defining Variables Transforming Data Options Data Analysis Procedures and the Output Viewer Graphs and Charts Database Management Terms and Sample Outline Internet Resources for Data-Driven Decision MakingGlossaryIndex.