EDUC 3033 - Data-Driven Instruction

3 credits

Designed to help students gain an understanding of global and local components of student assessment. This course addresses the proposition that quality assessment is essential for effective teaching and learning, including data driven differentiation. Class time is devoted to understanding, developing, and then maintaining academic standards and to learning techniques for record keeping, grading, and communication of results to parents. Teacher and parent conferencing skills are addressed throughout the semester.

Prerequisite: Admission to the professional sequence and EDUC 3013. Course taken in sequence as required by the College of Education.