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Full-Text Articles in Education
Mapping Student Achievement, Geoff Masters, Ray Adams, Jan Lokan
Mapping Student Achievement, Geoff Masters, Ray Adams, Jan Lokan
Prof Ray Adams
The analyses, publications and reports of quantitative data in education and the social sciences usually omit basic information on the construct measured. Probabilistic models for test data make it possible to delineate coherent and richly described measurement continua that facilitate interpretation of student achievement. The potential of conjoint measurement to bring about fundamental advances in educational testing practice lies in part in the opportunities it provides to build useful maps of learning domains and to use those maps in communicating student achievements. This chapter presents two applications of conjoint measurement aimed at constructing and describing achievement variables, developing insights into …
The Digest Edition 2008/2 : Using Data To Improve Student Learning, Marion Meiers
The Digest Edition 2008/2 : Using Data To Improve Student Learning, Marion Meiers
Marion Meiers
This Digest is focused on studies that have investigated how data can be used in schools to examine teaching practices in order to improve student learning. A selection of relevant websites is listed, and a full reference list is provided. Links to those references for which full-text online access is freely available are also included. School systems, principals and teachers have access to an extensive range of data that can be used for a variety of purposes. Accountability processes and data have come to play a significant place in policy development and reform efforts. There is a large body of …
Mapping Student Achievement, Geoff Masters, Ray Adams, Jan Lokan
Mapping Student Achievement, Geoff Masters, Ray Adams, Jan Lokan
Prof Geoff Masters AO
The analyses, publications and reports of quantitative data in education and the social sciences usually omit basic information on the construct measured. Probabilistic models for test data make it possible to delineate coherent and richly described measurement continua that facilitate interpretation of student achievement. The potential of conjoint measurement to bring about fundamental advances in educational testing practice lies in part in the opportunities it provides to build useful maps of learning domains and to use those maps in communicating student achievements. This chapter presents two applications of conjoint measurement aimed at constructing and describing achievement variables, developing insights into …