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Miller, Sarah; Biggart, Andy; Sloan, Seaneen; O'Hare, Liam – Education Endowment Foundation, 2017
Success for All (SfA) is a whole-school approach to improving literacy in primary schools. Teachers receive training in areas including group learning strategies, phonics, and assessment, and are provided with structured daily lesson plans and teaching materials. There is also support for school leadership in areas such as data management, ability…
Descriptors: Holistic Approach, Literacy Education, Elementary Education, Faculty Development
Freeman, Thomas M. – New Directions for Higher Education, 1995
The development of a complex, highly computerized system of performance indicators by the State University of New York provides the means to monitor internal progress, report to a skeptical public, and compare the system's performance with a national sample of institutions. The system is described here, and the performance indicators and data…
Descriptors: Accountability, Case Studies, College Administration, College Outcomes Assessment
Davis, Benjamin G. – 1974
The management and evaluation of education programs requires a timely, accurate information system. The discrepancy analysis model described aids in providing this information in a format that may be processed and yields the method by which such a system may be developed and implemented. Building from specific statements of expected project…
Descriptors: Comparative Analysis, Decision Making, Educational Programs, Evaluation Methods
United Nations Educational, Scientific and Cultural Organization, Bangkok (Thailand). Principal Regional Office for Asia and the Pacific. – 1999
This manual, which is intended for practitioners involved in the Asia and the Pacific Programme of Education for All, explains the basic concepts and procedures involved in monitoring and evaluating literacy and continuing education programs. The following are among the topics discussed in the manual's eight chapters: (1) understanding monitoring…
Descriptors: Adult Basic Education, Comparative Analysis, Continuing Education, Data Analysis