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Assessment And School Data Analysis

Instructor:
Sarah Elizabeth LaCour-Yarbrough
540
Credits:
3.0
201
Building:
TBD
Room:
TBD
Semester:
Fall 2023
Start Date:
End Date:
Name:
Assessment And School Data Analysis
Class Type:
LEC
TBD
TBD
Days:
TBD

This course focuses on the theoretical and practical aspects of educational assessment at the student, classroom, school, state/province, national, and international levels. Students examine the history of assessment in education, the varied purposes of assessment, the strengths and shortcomings of different assessment formats, and relevant research regarding the effectiveness of various types of assessment for specific educational purposes. They also explore the development of assessments to address particular types of student learning goals, the construction of rubrics to offer students descriptive feedback on their performance, the interpretation of assessment results, and the use of those results to improve teaching quality and student learning. There are no formal prerequisites, but an introductory course in statistical methods (e.g., EDP/EPE 557 or 558) and a basic course in educational tests and measures (e.g., EDP/EPE/EDC 522) are recommended. The course may be conducted in either an online or face-to-face format, depending on the semester and instructor.

This course focuses on the theoretical and practical aspects of educational assessment at the student, classroom, school, state/province, national, and international levels. Students examine the history of assessment in education, the varied purposes of assessment, the strengths and shortcomings of different assessment formats, and relevant research regarding the effectiveness of various types of assessment for specific educational purposes. They also explore the development of assessments to address particular types of student learning goals, the construction of rubrics to offer students descriptive feedback on their performance, the interpretation of assessment results, and the use of those results to improve teaching quality and student learning. There are no formal prerequisites, but an introductory course in statistical methods (e.g., EDP/EPE 557 or 558) and a basic course in educational tests and measures (e.g., EDP/EPE/EDC 522) are recommended. The course may be conducted in either an online or face-to-face format, depending on the semester and instructor.

EDC