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2.3 DATA-DRIVEN 
DECISION MAKING 
Jing Liu 
EDTL 540 
Indiana Wesleyan University
WHAT IS DATA DRIVEN DECISION 
MAKING? 
Victoria Bernhardt indicated in Data 
Analysis for Comprehensive School wide 
Improvement that Data-driven decision-making 
is about gathering data to 
understand if a school or district is meeting 
its purpose and vision. (AASA, 2002)
WHAT IS DATA DRIVEN DECISION 
MAKING? (CONTINUED) 
Data-driven decision making (DDDM) 
pertains to the systematic collection, 
analysis, examination, and interpretation 
of data to inform practice and policy in 
educational settings. (Mandinach, 2012)
WHAT IS DATA DRIVEN DECISION 
MAKING? (CONTINUED) 
True data-driven decision making, however, is 
about more than just test scores. 
 It’s about exploring the overall health and 
well-being of a district or school. 
 It’s about asking all the players in the school 
community to provide feedback on an 
ongoing basis. 
(O'Neal, 2012)
WHY DATA DRIVEN DECISION MAKING? 
 Data provide quantifiable proof, taking the emotion and rancor out 
of the decision-making process. (ASSA, 2012) 
 Data driven decision making uses data to build a more complete 
and accurate reflection of student performance in you district, 
school, or classroom. (Harcourt Connected Learning, 2007) 
 Data-driven decision making is a powerful tool in revealing 
change, questioning long-held assumption, and in facilitating 
communication with students and colleagues. (Harcourt 
Connected Learning, 2007)
DATA USED IN THE PROCESS OF 
IMPROVING STUDENT ACHIEVEMENT 
Teachers should 
adopt a 
systematic 
process for using 
data in order to 
bring evidence to 
bear on their 
instruction 
decisions and 
improve their 
ability to meet 
students’ learning 
needs. 
Interpret data 
and develop 
hypotheses 
about how to 
improve student 
learning 
(Hamilton, 2009) 
Modify 
Data use cycle: 
Collect and 
prepare a 
variety of data 
about student 
instruction to 
test hypotheses 
and increase 
student learning 
learning
Establish 
Desired 
Outcomes 
Define the 
Questions 
Collect and 
Organize Data 
Make Meaning 
to the Data 
Assess and 
Evaluate Actions 
Take Action 
The Inquiry Cycle 
adapted from the Annenberg Institute 
for School Reform 
(AASA, 2002)
TEACHER LEADER MODEL 
STANDARDS 
DOMAIN 5 Promoting the Use of Assessments and Data for School and District Improvement 
The teacher leader is knowledgeable about the design of assessments, both 
formative and summative. He or she works with colleagues to analyze data and 
interpret results to inform goals and to improve student learning. 
Functions 
The teacher leader: 
a) Increases the capacity of colleagues to identify and use multiple assessment tools 
aligned to state and local standards; 
b) Collaborates with colleagues in the design, implementation, scoring, and 
interpretation of student data to improve educational practice and student learning; 
c) Creates a climate of trust and critical reflection in order to engage colleagues in 
challenging conversations about student learning data that lead to solutions to 
identified issues; and 
d) Works with colleagues to use assessment and data findings to promote changes 
in instructional practices or organizational structures to improve student learning. 
(Teacher Leadership Exploratory Consortium, 2012)
In the process of fostering a data-driven culture 
within the school, a teacher leader should… 
 dedicate time for staff collaboration, 
 help colleagues build up understanding and knowledge about 
data-driven decision making, 
 and work closely with colleagues to use data to identify 
achievement problems and develop instructional solutions.
DEDICATING TIME FOR STAFF 
COLLABORATION 
 Teacher leader should encourage teacher to work collaboratively 
with data which can highlight achieve pattern across. 
 Teacher leaders should establish a common time for teachers to 
meet and discuss data. 
 Teacher leaders should set an agenda for the meeting that 
focuses on current and relevant data to help the teachers use 
collaboration time productively. 
(Hamilton, 2009)
BUILDING UP UNDERSTANDING AND 
KNOWLEDGE 
 Teacher leaders should help colleagues understand how data are 
used to support instructional decision making. 
 Teacher leaders should assist colleagues to use this data 
appropriately with the adequate knowledge and skills. 
 Teacher leaders should encourage colleagues to use data 
thoughtfully and consistently. 
(Hamilton, 2009)
WORKING WITH COLLEAGUES 
 Preparation 
Prior to the meetings, teacher 
leader should set an agenda that 
focuses on using the most 
updated data relative to a specific, 
timely topic. 
 Analysis 
During the meetings, teacher 
leaders should followthe cycle of 
inquiry, using data to state 
hypotheses about their teachin 
gand learning practices and then 
testing those hypotheses. 
 Action Agenda 
At the end of each meeting, 
teacher leaders should be 
prepared to enact a data-basedaction 
plan that examines 
and modifies their instruction to 
increase student achievenment in 
the area of focus for the meeting. 
(Hamilton, 2009)
OTHER RESOURCES 
 http://www.youtube.com/watch?v=fI35usSxjm4 
 http://www.youtube.com/watch?v=LQ-5cfnh1OE
REFERENCE 
American Association of School Administrators (2002). Using data to improve schools: 
What’s working. Retrieved from http://www.eric.ed.gov/PDFS/ED469227.pdf 
Hamilton, L., Halverson, R., Jackson, S., Mandinach, E., Supovitz, J., & Wayman, J. (2009). 
Using student achievement data to support instructional decision making. Retrieved from 
http://ies.ed.gov/ncee/WWC/pdf/practice_guides/dddm_pg_092909.pdf 
Harcourt Connected Learning (Sept. 2007). Data-driven decision making. Connected Newsletter, 
14(1), 4-6 
Retrieved from http://dox.aea1.k12.ia.us/docs/magazines/03909002007.pdf 
Mandinach, E. B. (2012). A Perfect Time for Data Use: Using Data-Driven Decision Making to 
Inform 
Practice. Educational Psychologist, 47(2), 71-85. 
O'Neal, C. (2012). Data-driven Decision Making : A Handbook for School Leaders. Eugene, Or: 
International 
Society for Technology in Education.
REFERENCE (CONTINUED) 
Teacher Leadership Exploratory Consortium (2012). Teacher leader model standards. 
Retrieved from http://teacherleaderstandards.org/downloads/TLS_Brochure.pdf

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data driven decision making

  • 1. 2.3 DATA-DRIVEN DECISION MAKING Jing Liu EDTL 540 Indiana Wesleyan University
  • 2. WHAT IS DATA DRIVEN DECISION MAKING? Victoria Bernhardt indicated in Data Analysis for Comprehensive School wide Improvement that Data-driven decision-making is about gathering data to understand if a school or district is meeting its purpose and vision. (AASA, 2002)
  • 3. WHAT IS DATA DRIVEN DECISION MAKING? (CONTINUED) Data-driven decision making (DDDM) pertains to the systematic collection, analysis, examination, and interpretation of data to inform practice and policy in educational settings. (Mandinach, 2012)
  • 4. WHAT IS DATA DRIVEN DECISION MAKING? (CONTINUED) True data-driven decision making, however, is about more than just test scores.  It’s about exploring the overall health and well-being of a district or school.  It’s about asking all the players in the school community to provide feedback on an ongoing basis. (O'Neal, 2012)
  • 5. WHY DATA DRIVEN DECISION MAKING?  Data provide quantifiable proof, taking the emotion and rancor out of the decision-making process. (ASSA, 2012)  Data driven decision making uses data to build a more complete and accurate reflection of student performance in you district, school, or classroom. (Harcourt Connected Learning, 2007)  Data-driven decision making is a powerful tool in revealing change, questioning long-held assumption, and in facilitating communication with students and colleagues. (Harcourt Connected Learning, 2007)
  • 6. DATA USED IN THE PROCESS OF IMPROVING STUDENT ACHIEVEMENT Teachers should adopt a systematic process for using data in order to bring evidence to bear on their instruction decisions and improve their ability to meet students’ learning needs. Interpret data and develop hypotheses about how to improve student learning (Hamilton, 2009) Modify Data use cycle: Collect and prepare a variety of data about student instruction to test hypotheses and increase student learning learning
  • 7. Establish Desired Outcomes Define the Questions Collect and Organize Data Make Meaning to the Data Assess and Evaluate Actions Take Action The Inquiry Cycle adapted from the Annenberg Institute for School Reform (AASA, 2002)
  • 8. TEACHER LEADER MODEL STANDARDS DOMAIN 5 Promoting the Use of Assessments and Data for School and District Improvement The teacher leader is knowledgeable about the design of assessments, both formative and summative. He or she works with colleagues to analyze data and interpret results to inform goals and to improve student learning. Functions The teacher leader: a) Increases the capacity of colleagues to identify and use multiple assessment tools aligned to state and local standards; b) Collaborates with colleagues in the design, implementation, scoring, and interpretation of student data to improve educational practice and student learning; c) Creates a climate of trust and critical reflection in order to engage colleagues in challenging conversations about student learning data that lead to solutions to identified issues; and d) Works with colleagues to use assessment and data findings to promote changes in instructional practices or organizational structures to improve student learning. (Teacher Leadership Exploratory Consortium, 2012)
  • 9. In the process of fostering a data-driven culture within the school, a teacher leader should…  dedicate time for staff collaboration,  help colleagues build up understanding and knowledge about data-driven decision making,  and work closely with colleagues to use data to identify achievement problems and develop instructional solutions.
  • 10. DEDICATING TIME FOR STAFF COLLABORATION  Teacher leader should encourage teacher to work collaboratively with data which can highlight achieve pattern across.  Teacher leaders should establish a common time for teachers to meet and discuss data.  Teacher leaders should set an agenda for the meeting that focuses on current and relevant data to help the teachers use collaboration time productively. (Hamilton, 2009)
  • 11. BUILDING UP UNDERSTANDING AND KNOWLEDGE  Teacher leaders should help colleagues understand how data are used to support instructional decision making.  Teacher leaders should assist colleagues to use this data appropriately with the adequate knowledge and skills.  Teacher leaders should encourage colleagues to use data thoughtfully and consistently. (Hamilton, 2009)
  • 12. WORKING WITH COLLEAGUES  Preparation Prior to the meetings, teacher leader should set an agenda that focuses on using the most updated data relative to a specific, timely topic.  Analysis During the meetings, teacher leaders should followthe cycle of inquiry, using data to state hypotheses about their teachin gand learning practices and then testing those hypotheses.  Action Agenda At the end of each meeting, teacher leaders should be prepared to enact a data-basedaction plan that examines and modifies their instruction to increase student achievenment in the area of focus for the meeting. (Hamilton, 2009)
  • 13. OTHER RESOURCES  http://www.youtube.com/watch?v=fI35usSxjm4  http://www.youtube.com/watch?v=LQ-5cfnh1OE
  • 14. REFERENCE American Association of School Administrators (2002). Using data to improve schools: What’s working. Retrieved from http://www.eric.ed.gov/PDFS/ED469227.pdf Hamilton, L., Halverson, R., Jackson, S., Mandinach, E., Supovitz, J., & Wayman, J. (2009). Using student achievement data to support instructional decision making. Retrieved from http://ies.ed.gov/ncee/WWC/pdf/practice_guides/dddm_pg_092909.pdf Harcourt Connected Learning (Sept. 2007). Data-driven decision making. Connected Newsletter, 14(1), 4-6 Retrieved from http://dox.aea1.k12.ia.us/docs/magazines/03909002007.pdf Mandinach, E. B. (2012). A Perfect Time for Data Use: Using Data-Driven Decision Making to Inform Practice. Educational Psychologist, 47(2), 71-85. O'Neal, C. (2012). Data-driven Decision Making : A Handbook for School Leaders. Eugene, Or: International Society for Technology in Education.
  • 15. REFERENCE (CONTINUED) Teacher Leadership Exploratory Consortium (2012). Teacher leader model standards. Retrieved from http://teacherleaderstandards.org/downloads/TLS_Brochure.pdf