Publication | Closed Access
Data-based school improvement
14
Citations
35
References
2015
Year
EducationEducation Systems Improvement ScienceSchool OrganizationProgram EvaluationTeacher EducationData ScienceSchool Supervisory AuthoritiesMandatory Proficiency TestsManagementSchool FunctioningLow-stakes ContextEducational Data MiningEducational LeadershipIn-service Professional DevelopmentData-based School ImprovementTeacher EvaluationProfessional DevelopmentEducational AssessmentEducation Policy
Purpose The purpose of this paper is to investigate how principals and school supervisory authorities understand and use feedback from mandatory proficiency tests (VERA) in the low-stakes context of Germany. For the analysis, the authors refer to a theoretical model of schools that differentiates between Autonomous and Managed Professional Organisations (Thiel, 2008a).
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