Data-Driven Instruction

From KNILT
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Overview and Purpose

One of the most time consuming parts about being an effective teacher is grading! You have to come up with a rubric, grade 100+ papers, and provide feedback so students know what to do better next time! With all of that--who has time to analyze data and then use the results to turnkey the data into remedial/reflective lesson planning.

This course will help provide the why, how, and what in order to use data effectively to make student learning more effective.

Objectives

At the end of the unit, participants will be able to master the following objectives:

  • analyze data to understand percentage of student mastery of lesson content
  • compare and contrast data from all classes to differentiate instruction for whole class reteach
  • create a data analysis of midterm assessments in order to create small group tutoring for next six weeks.

Needs Assessment

1. Instructional problem: Throughout various modules, books, and professional development courses educators have heard the terms "backwards design" or "backwards planning," as a means to ensure that learners will be successful on assessments. However, a key aspect that is left out is how to use the data to ensure learners stay on the path to mastery and what educators can do if their learners are not on the path towards mastery.

2. The nature of what is to be learned: Participants will learn and later utilize various ways to check learner understanding through data after assessments have taken place.

3. About the learners: Participants are educators with at least a minimum of a bachelor's although teaching experience varies.

4. Instructional content: Each unit will be designed in a similar fashion. Units begin with a broad overview of that unit's learning objectives (target outcomes). The units will have activities, most based on discussions although some will consist of on line readings.

Analysis of the Learner and Context

Types of learners:
The learners who are participating in the mini-course are educators of varying levels of experience and who are seeking to understand how to use DDI (Data Driven Instruction) within their classrooms or within the classrooms of educators they provide instructional coaching for.

Context:
This course can be completed at the participants own pace and at any time and location. The techniques, presented in the mini course, will not become outdated although, as new strategies are created and developed, they can be added to the current techniques included in this course.

Performance Objectives

Course-level objectives

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UNIT 1: Data Driven Instruction (DDI)

UNIT 2: Analysis of Assessment Data

UNIT 3: Actions on how to implement course corrections

UNIT 4: How to continue using DDI: Final Assessment

References

U. (2012, June 23). Data-Driven Instruction: Leading Analysis Meetings. Retrieved December 17, 2017, from https://www.youtube.com/watch?v=mUd5VJbuD5M&t=108s

Borngoio , D. (Ed.). (2011). Student Achievement . Retrieved from http://www.naesp.org/sites/default/files/Student%20Achievement_blue.pdf

Data-Driven Instruction. (2015, June 03). Retrieved December 17, 2017, from https://www.youtube.com/watch?v=7fSVRsyu56s