Category=JNA
data mining
data-driven instructional decision making
educational data analytics
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
linking data and learning
risk student interventions
school improvement strategies
student performance assessment
teacher data literacy
technology integration education
urban high schools
Product details
- ISBN 9780805894349
- Weight: 240g
- Dimensions: 152 x 229mm
- Publication Date: 23 Jun 2005
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Paperback
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This Special Issue includes works on linking data and learning, using student-assessment results, data mining, data decision making for teachers, identifying student's needs with technology and data use in urban high schools. The goals of the Journal of Education for Students Placed At Risk (JESPAR) are to provide the best research-based information possible to professionals involved with improving the education of students placed at risk and to promote the use of that information through effective communications among researchers, policymakers, and practitioners in the field. JESPAR publishes articles geared to academic researchers, policy analysts, and especially to practitioners regarding practical, research-based progress in the field of education for students placed at risk. The journal offers refereed research articles on promising programs; descriptions of promising programs in the field; case studies of schools that work; literature reviews; book and report reviews; regular communications on Title I regulations; and school and district practices from federal, state, and local perspectives.
Jeffrey C. Wayman, Center for Social Organization of Schools, Johns Hopkins University.
