Participatory Action Research for Educational Leadership: Using Data-Driven Decision Making to Improve Schools

Participatory Action Research for Educational Leadership: Using Data-Driven Decision Making to Improve Schools
ISBN-10
1412937779
ISBN-13
9781412937771
Category
Education
Pages
236
Language
English
Published
2008
Publisher
SAGE
Authors
E. Alana James, Margaret T. Milenkiewicz, Alan Bucknam

Description

While written for mastersÆ students in any Educational Leadership concentration, this is a core text for departments that teach action research as a primary research methodology or a supplemental text for those that place it in a range of research methods. The book provides a readable overview of the PAR process similar to professional learning communities in schools. Its design reaches out to visual learners as graphic elements guide graduate students through the research methods they need to successfully complete rigorous projects. The results of the original PAR study and continued work with educational leaders lead us to believe that this approach ultimately produces the results school leaders seek and appreciate. Key Features: o Clear process through both the PAR steps employing a research logic model throughout. This benefits the graduate student or educational leader by leading them to data driven outcomes that are valid, credible and reliableGraphic elements guide the reader through the process and aid the visual learner in keeping track of the concepts behind the theory. o Reflective questions precede each section. This increases the reflective practices and routines of the reader as appropriate to the PAR process. o Tasks, written for both groups and individuals, aid participatory teams in working towards consensus and strong research designs o Practitioner stories make the lessons real and ease the emotional unease that come from tackling research practices the first time. Intended Audience: This book represents the evolution of PAR from a soft science to a process appropriate for educators in todayÆs data driven environments or for graduate students whose thesis needs to pass the recommendations of professors steeped in positivist traditions.

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