Data Driven Instruction: Effective Teaching in a K-2 Setting through Small Groups in Academic Areas
by
ABSTRACT
The researcher aimed to study the how the data driven instruction method improves the students learning in k-2 setting. The researcher aims to study how the data driven instruction leads to Effective Teaching in a K-2 Setting through Small Groups in Academic Areas. This aim has been broken into following objectives
To study what is data driven instruction
To study the type of data used for data driven instruction
To study the teachers view of data driven instruction
To study the benefits and challenges associated with data driven instruction.
The researcher will use the quantitative research approach to study the research questions. The researcher will use the instrument of questionnaire for this paper.
TABLE OF CONTENTS
ABSTRACTII
CHAPTER 1: INTRODUCTION1
Context of problem1
Statement of problem2
Theoretical framework2
Research aims and objectives3
Research question4
Nature of the study4
Significance4
Methodology5
CHAPTER 2: LITERATURE REVIEW15
Types of Data Used to Drive Instruction15
Teacher Views of Data-driven Instruction16
The Data Driven Curriculum20
Impact of Staff Development on Data Driven Instruction24
Resistance to Data Driven Instruction26
Critical Factors Concerning Data Driven Instruction28
Implementation of Data-driven Instruction30
CHAPTER 3: BENEFITS AND CHALLENGES OF DATA DRIVEN INSTRUCTION32
Discussion36
CHAPTER 4: TEACHER'S PERCEPTION OF DATA DRIVEN INSTRUCTION38
Discussion40
CHAPTER 5: CONCLUSION42
Recommendations45
REFERENCES47
CHAPTER 1: INTRODUCTION
Context of problem
Since 2000, the education system in United States has gone through significant changes. The diverse classrooms, individualized attention, data analysis and learning communities have taken the place of the rote memorization, worksheets, extra credit assignments, and isolated teaching environment. Teachers have the responsibility of meeting the individual needs of the students and improve his overall performance.
This change is attributed to the No Child Left behind Act. The No Child Left behind Act has forced the school management reset the goals and change the way of teaching. Moreover, due to this act, the teachers are accountable for their way of teaching. Teacher now teach while keeping the end in mind. They have a clear focus as to what to teach and how to teach and what will they achieve as a result.
The United States education system has changed from traditional methods of teaching to the reflection and data analysis method. Previously, the schools provided the teachers with specific material to cover and the teachers taught the syllabus in the given academic year. However, this has been replaced with standardized tests and use of technology. The focus of the teachers is to make the student learn the concept instead of rote learns. This is the age of data driven instruction in class. Data driven instruction is used by the teachers to arrange their material into meaningful ways so that the overall performance of the student can be improved.
Statement of problem
Data driven instruction is very important for schools as it increases the school effectiveness. The focus of the data driven instruction is on individual students. This is very time consuming. To effectively implement data driven instruction in schools, it is very important for the school to train the teachers accordingly. Unless the teachers are not trained properly, the implementation of the data driven instruction cannot be ...