About
A WEA Canvas asynchronous course is a type of learning experience in which participants can access and engage with course materials at their own convenience without being required to attend live sessions. This format is designed to provide flexibility for learners with varying schedules, time zones, or commitments. These courses can be started and completed according to your schedule.
How to earn clock hours and access the content for this asynchronous course:
Registration (must complete both registrations)
1. Register for this course in WEA-WIN (Add to Cart, Check Out).
2. Register for this course in Canvas (https://washingtonea.instructure.com/enroll/YABHJ6).
Canvas Course Expectations
1. Read/watch all course content.
2. Complete all assignments.
- Assignments are graded weekly.
- Assignments are due by Monday, June 2nd, 2025.
Course Evaluation
The evaluation will be emailed from WIN once course completion is verified.
- Completion is verified weekly.
Clock Hours
Clock hours will be added your transcript and accessible in your WEA-WIN account.
Courses
Data Collection in the Inclusive Classroom (Equity) (15hr) -Asynchronous
Clock Hour
Course Description
This course is designed to assist educators in improving data collection methods in the general and special education settings. This course introduces the steps to the data collection process, provides an overview of preparing for gathering data, and discusses different strategies for collecting data in various scenarios. This course includes demonstrations and practice opportunities using common data collection methods and allows participants to analyze data into useful information for monitoring student progress. Participants will also learn how collaboration as a high leverage practice ensures equitable and inclusive data collection processes to improve student learning.Course Objectives
Understand the importance of equitable assessments/progress monitoring and the collection of data to improve student learning (Leading for Educational Equity)
Select appropriate methods for monitoring academic and behavioral progress (Leading for Educational Equity)
Understand how to analyze collected data to make educational decisions (Learning Partnerships)
Explore opportunities to increase partnerships and collaboration in professional learning communities to meet student needs through effective data collection (Learning Partnerships)
Waitlist Limit: 0/0