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Data-Driven Instruction

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This course is designed for K-12 educators seeking to strengthen instructional decision-making through the effective use of student data. Participants will examine the data-driven decision-making cycle and learn how to analyze multiple sources of data to identify trends, target learning gaps, and adjust instruction to meet student needs. Educators will explore data-informed instructional strategies, including purposeful grouping, progress monitoring, and the use of technology to support analysis and implementation. Emphasis is placed on translating data into actionable instructional plans that support student engagement and achievement. By the end of the course, participants will be prepared to use data confidently and responsibly to guide instructional practices and improve learning outcomes.

Data-driven instruction is essential to effective teaching and continuous improvement in student learning. Educators are increasingly expected to analyze student performance data to inform instructional planning, differentiate instruction, and monitor student progress toward learning goals. This course provides teachers with the knowledge and skills necessary to interpret multiple forms of student data and use that information to make instructional decisions.

The required textbook for this course is Driven by Data 2.0 - A Practical Guide to Improve Instruction, by Paul Bambrick - Santoyo.

978-1119524755

Mercy University EDUT 5830.72

Graduate participants earn 3 semester hours of graduate credit and will receive a transcript from one of our partner institutions below. Professional development participants receive a certificate of completion for 45 hours of professional developments credit for face-to-face classes, and 60 hours of professional development credit for online classes.

Credit awarded by

Madonna
University

Professional
Development

Textbook List FAQs

Outline
Important Information
Student Academic Integrity

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Outline

Module 1 - Introduction to Data-Driven Instruction

Objectives:

Define data-driven instruction
Understand its impact on student achievement
Identify types of educational data

Module 2 - Types of Data and Their Uses

Objectives:

Differentiate between formative, interim, and summative assessments
Evaluate strengths and limitations

Module 3 - Creating Effective Assessments

Objectives:

Design standards-aligned assessments
Ensure validity of assessments

Module 4 - Analyzing Student Data

Objectives:

Identify trends and patterns
Interpret student performance data

Module 5 - Root Cause Analysi

Objectives:

Identify causes of student errors
Distinguish types of learning gaps

Module 6 - Action Planning and Instructional Adjustment

Objectives:

Develop targeted instructional plans
Use data to guide decisions

Module 7 - Reteaching and Differentiation

Objectives:

Implement reteaching strategies
Differentiate instruction

Module 8 - Using “Small Data” and Student Voice

Objectives:

Understand qualitative data
Incorporate student voic

Module 9 - Building a Data-Driven Classroom Culture

Objectives:

Promote student ownership
Build a positive data culture

Module 10 - Collaboration and Data Meetings

Objectives:

Engage in collaborative data discussions
Use structured protocols

Important Information

Online 3-graduate credit courses are 13 weeks in length.

On-site weekend courses are held Friday evening from 6:00pm-9:00pm and Saturday/Sunday, 8:30am-5:30pm.

Weekday courses are Monday-Friday from 8:00am- 6:00pm.

It is the responsibility of the student to check with their state, county, district, or school to ensure that all requirements are being met by the course you're taking.

Check the Partner Universities page for specific university information as well as course numbers which are specific to the university partner.

Students are required to purchase their own textbook, the information for which can be found here. If no book is required it will be specified on the list. We have copies of many of the textbooks should you wish to purchase directly from TEI.

Professional development (PD) participants receive a certificate of completion from TEI for 45 hours of PD credit for face to face classes and 60 hours of PD credit for online classes. These certificates are mailed within one week of the end of the class and reflect the course title, dates of attendance, and credit hour information.

Student Academic Integrity

Participants guarantee that all academic class work is original. Any academic dishonesty or plagiarism (to take ideas, writings, etc. from another and offer them as one's own), is a violation of student academic behavior standards as outlined by our partnering colleges and universities and is subject to academic disciplinary action.