Predicting End-Of-Course Test Using Teacher-Made Test
Using Data To Drive Instructions
(Sprache: Englisch)
Predicting how students will perform on standardized tests is relevant to all educators. This work examines the relationship of students' performance on teacher-edited benchmark assessments administered to their performance on the state's end-of-course...
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Predicting how students will perform on standardized tests is relevant to all educators. This work examines the relationship of students' performance on teacher-edited benchmark assessments administered to their performance on the state's end-of-course test. Teachers have information on student achievement within specific topics based on tests, quizzes, homework, and other assignments. However, the best way to use this information in predicting high-stakes testing is unknown. Providing teachers with guidance on how to use this information would be extremely valuable. This research determines how well the data from periodically-administered tests may predict scores on the state's end-of-course test. The school implemented an intervention process that involves frequent assessment of the skills being taught. Students were taught and re-taught, tested and re-tested until they mastered the curriculum. It is my hope that the research reported here will help decision-makers on educationwith evidence-based guidance on how to use student data to drive instructions.
Bibliographische Angaben
- Autor: Roland Dante
- 2014, 64 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 3659580600
- ISBN-13: 9783659580604
Sprache:
Englisch
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