Data & Differentiated Instruction

Data & Differentiated Instruction

Presentation by Irene Chacon

Start

1.

6.

Data Analysis

Opinion

Differentiated Instruction

Contents

2.

7.

Content Data

3.

8.

Challenges

Using Data

4.

9.

Ideas

Data Driven

5.

10.

Data Collection

Conclusion

differentiated instruction

Definition and Importance

What is differentiated instruction?

Differentiated instruction is a teaching approach that tailors instruction to meet individual student needs.

Key components include flexible grouping, ongoing assessment, and adjustable assignments.

The goal is to maximize each student's growth and individual success.

Using data

Why use data to differentiate instruction?

• Differentiated instruction tailors teaching methods to meet individual student needs and data is crucial in identifying these needs.

• Effective use of data improves student engagement and outcomes.

• Data is essential for customizing learning experiences.

"Data helps us to monitor and assess performance. Just as goals are an essential element of success, so data are an essential piece of working toward goals. . . . Regular monitoring, followed by adjustment, is the only way to expect success."

—Mike Schmoker, Results: The Key to Continuous School Improvement (1999)

+ MORE

Data-Driven Instruction

Data Collection

Methods for collecting data in the classroom include observations, quizzes, and standardized tests.

Tools for data collection can be digital tools, paper forms, and learning management systems (LMS).

Assessments can be a great way to collect data before, during, and after a lesson.

Data Analysis

Monitor teaching strategies and instructional time.

Measure effectiveness through 'teacher talk' vs. 'student talk' and variety of instructional strategies.

Collect and review data collected from formative assessment methods to pinpoint needs.

Content Data Analysis

Resources such as core curriculum text, supplemental supports, and intervention resources can be used.

Track resource usage to ensure alignment with student needs and learning standards.

Use of various types of data for patterns, themes, trends or relationships.

Challenges

Challenges Teachers Encounter

Challenges For Educators

IDEAS

Conclusion

• Data collection and analyses can provide guided instruction to be tailored for each student.
• Positive impact of data-driven instruction on student engagement and outcomes.
• Encouragement to embrace data-driven teaching for future success.
• Technology can be utilized to gather data and as an instructional resource.

THANK YOU

Irene Chacon msirene.chacon@gmail.com

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