(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

 

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