WGU D775 SECTION 1 DATA-DRIVEN STUDENT SUPPORT
STUDY GUIDE
CORE DOMAINS
Importance of Using Various Data Sources
Integrated Approach to Student Support
Universal Screening in Education
Types of Assessments in Education
Data-Driven Decision-Making
Collaboration and Intervention Planning
Progress Monitoring and Adjustments
Legal and Ethical Considerations (IDEA)
SECTION 1: DATA, ASSESSMENT, AND COLLABORATION STUDY
GUIDE
, 1. Importance of Using Various Data Sources
Holistic Understanding of Student Needs
Utilizing diverse data sources—such as academic performance, behavior, and attendance—
provides a comprehensive view of a student's needs. This approach allows for tailored
interventions that are personalized and effective, increasing the likelihood of student success.
Continuous data collection enables effective progress monitoring and adjustments to supports
as needed, ensuring equitable and inclusive support for all students.
Historical Context
The shift towards data-driven decision-making in education began in the late 20th century,
emphasizing the need for comprehensive assessments.
Case Study
A school district that implemented a multi-source data approach saw a 20% increase in student
performance metrics over two years.
2. Integrated Approach to Student Support
Combining resources when gathering data about students with exceptionalities creates a holistic
approach to support. Collaboration among educators, specialists, and families is essential for
effective data collection and intervention planning.
STUDY GUIDE
CORE DOMAINS
Importance of Using Various Data Sources
Integrated Approach to Student Support
Universal Screening in Education
Types of Assessments in Education
Data-Driven Decision-Making
Collaboration and Intervention Planning
Progress Monitoring and Adjustments
Legal and Ethical Considerations (IDEA)
SECTION 1: DATA, ASSESSMENT, AND COLLABORATION STUDY
GUIDE
, 1. Importance of Using Various Data Sources
Holistic Understanding of Student Needs
Utilizing diverse data sources—such as academic performance, behavior, and attendance—
provides a comprehensive view of a student's needs. This approach allows for tailored
interventions that are personalized and effective, increasing the likelihood of student success.
Continuous data collection enables effective progress monitoring and adjustments to supports
as needed, ensuring equitable and inclusive support for all students.
Historical Context
The shift towards data-driven decision-making in education began in the late 20th century,
emphasizing the need for comprehensive assessments.
Case Study
A school district that implemented a multi-source data approach saw a 20% increase in student
performance metrics over two years.
2. Integrated Approach to Student Support
Combining resources when gathering data about students with exceptionalities creates a holistic
approach to support. Collaboration among educators, specialists, and families is essential for
effective data collection and intervention planning.
