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(PD
Title No. EDU4421E)
Data-Driven Decision Making:
Using Objective Measures to Improve Student Learning
Proficiency Level: Awareness
Subject(s):Foreign Languages,Language Arts
and Reading,Guidance,Health Education,Industrial
Education,Interdisciplinary,Leadership Training,Multicultural Education,Music,Parent
Education,Psychology,Science,Social Science,Volunteer,Special Education,Technology,Computer
Education,Mathematics,Business,Art,Career Tech,Library Media,Basic Training,Physical Education
Grade(s): PreK,K,1,2,3,4,5,6,7,8,9,10,11,12,CC,Other
Hours: 30.00
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Description:Improving student learning and achievement
can be accomplished most effectively through the use of data analysis to
understand student learning needs and to make instructional decisions. This
workshop is designed to help participants gain knowledge and skill in using
data to improve student learning. Through this course, teachers will learn
the importance of using data to plan appropriate instructional experiences
for their students and to identify and analyze the measures of data to
understand student learning needs. Participants are guided to develop the
practice of gathering and analyzing data in a systematic and continuous manner. As
part of this workshop, participants will review data-driven decision-making
theory regarding multiple measures of data and they will analyze
intersections of the data to answer questions about student achievement and
how to improve student learning. Participants will learn to use tools to
gather and analyze formative data to identify trends and gaps in
learning. As a final product participants will create an action
plan to guide instructional change in their own classrooms and to lead to the
improvement of student learning and achievement.
Pre-requisites: This is an introductory workshop for teachers,
curriculum specialists, professional development specialists, or other school
personnel. Participants are expected to have regular access to computers, and
proficiency with email and current web-browsers.
Objectives: This workshop will enable participants to:
• understand the importance of using data to guide instructional planning
• become familiar with multiple measures of data
• analyze intersections of data to identify learning gaps as well as the root
causes for the gaps
• use tools to identify, collect, and analyze data measures and intersections
• use curriculum-based assessments to monitor student progress
• use results of data analysis to make decisions about appropriate
instructional strategies to differentiate instruction and address students'
individual learning needs
• create an action plan for instructional improvement in their own classrooms
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