Continuous Improvement Flashcards

1
Q

Continuous Improvement

A

a method or system of continuously seeking to make changes and improvements in any system
A management philosophy intended to aid schools in quality control. By identifying problems and making changes in an effort to prevent them.

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2
Q

William Edwards Deming

A

Considered the father of quality improvement. Created the PDCA Cycle.

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2
Q

PDCA Cycle

A

Plan, Do, Check, Act
Was the original system created by Deming

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2
Q

Elements of a SIP

A
  1. Vision for plan 2. Comprehensive Needs Assessment 3.Setting Goals/Priorities/Timelines 4. Deciding Action Steps 5. Collaboration
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2
Q

School Improvement Plan (SIP)

A

designed and implemented to attain academic success for the following year

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3
Q

Dagget System for Teachers

A

A SIP Model focusing on improving the instruction provided by the teachers and supporting a culture where active learning is promoted.

Teacher should facilitate learning,

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3
Q

Results-Oriented Cycle of Inquiry

A

a SIP model focusing on making data-based decisions. Framework consists of five steps: setting goals, planning, acting, assessing, and adjusting

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3
Q

Theory of Action Model

A

a SIP model designed by the Massachusetts DOE based on setting priorities, making decisions based on data, and continuous monitoring

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3
Q

Balanced Scorecard Model

A

a SIP model which was proven successful in Atlanta Public Schools that provides incentives to teachers including pay increases based on measurable progress indicators

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4
Q

PDSA Cycle

A

Developed by Dr. W Ewards Deming and based on the steps involved in the scientific process.
Plan, Do, Study, Act

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5
Q

PDSA - Plan

A

stage where a needs assessment is completed to find the areas that are in need of improvement

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6
Q

PDSA - Do

A

Stage of PDSA where a plan of action is actually implemented

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7
Q

PDSA - Study

A

Stage in PDSA cycle where data that was collected during the prior stage is study.

Focuses on: did the strategies implemented bring about change, was change positive, were the desired results achieved…

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8
Q

PDSA - Act

A

Stage in PDSA cycle where decisions are made about the plan. Sometimes labeled as adjust instead of act.
Should the plan continue, does it need reworked, etc.

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9
Q

ESEA Research Guidelines

A

A federal mandate providing guidelines for teachers to employ sound research and evidence based best practices in the classroom.

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10
Q

Soundness of Designed

A

one the is considered valid, where research measures what it claims to measure, generalizable sample size

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11
Q

Productive Results

A

means that a study was conducted in a well-developed and valid scientific design, and the results of that study supported the hypothesis or found a better way to approach a problem.

Results are replicable by further research

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12
Q

Adequacy of Resources

A

Candidates for conducting federally-sponsored research in educational best practices must have adequate available resources to conduct the proposed research, service, or demonstrations.

13
Q

Relationship to Other Programs

A

Federally-sponsored educational research programs must also investigate their relationship to other similar educational research or dissemination programs already completed or in progress. This means that valid educational research is not only primary studies conducted under the scientific method, but it must also have a well-stocked literature review of other research relevant to the program.

14
Q

types of research

A

Primary Research
Secondary research
Action Research

15
Q

Primary Research

A

conducted during a study done under the scientific method. Is usually carried out in labs/universities because they require extensive resources and access to a general sample size

16
Q

Secondary Research

A

is the review of other studies conducted, or articles and books that have been written on a particular subject.

17
Q

Action Research

A

Teachers can also conduct small-scale primary research within the classroom to evaluate their own teaching methods.
Informal research within a classroom to guide teaching

18
Q

Data-Driven Instruction (DDI)

A

an approach widely accepted as best practice for designing instruction and improving student learning outcomes.

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Qualitative Data
researchers analyze non-numeric information such as interviews and open-ended survey responses and observations,
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Quantitative Data
is counted, measured, and analyzed by statistical methods.
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Demographic Data
refers to data about the characteristics of a group of people. In education, that means the school population. Information gathered includes age, gender, ethnicity, income, education level, and other relevant factors.
22
Perception Data
in the context of DDI, refers to information collected from students and other stakeholders such as faculty, families, and community members regarding their beliefs, attitudes, and perceptions surrounding various aspects of teaching and learning.
23
Student-Learning Data
also known as achievement data, can be defined as data regarding student performance on formal and informal assessments ranging from classroom assessments to state and federal standardized tests.
24
School Process Data
refers to the information regarding various systems, protocols, and policies that govern the functioning of a school. It can include collecting information about the following areas. Policies and procedures, academic and behavior expectations, parents participation, building operation, rules and procedures
25
Perception Data
Refers to the process undertaken by stakeholders to gather opinions, make comments, and the recommendations on the school building.
26
Data for Educational Planning
refers to identifying, developing, and implementing strategies efficiently and effectively to meet schools' educational needs and goals. Data is required in different levels of educational planning. There are five types of data used in educational planning:
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Five types of Data used in Educational Planning
1. Academic data 2. Nonacdemic data 3. Fidelity of implementation data 4. Program data 5. Perception data
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Methods for gathering perception data
1. Surveys 2. Interviews 3. Focus groups 4. Listening sessions
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Data Analysis Trends in Edu
1. Descriptive analysis of data 2. Diagnostic Data Analysis 3. Predictive Data Analysis 4. Prescriptive Analysis
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Descriptive analysis of data
his mostly deals with the statistical data collected and provides the analysis of the data points.
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Diagnostic Data Analysis
This establishes the relationship between the collected data and provides the causes and effects.
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Predictive Data Analysis
This involves spreadsheets and mathematical applications to establish future expectations from the collected data.
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Prescriptive Analysis
his provides a depth of understanding of the costs, benefits and risks. It includes conducting optimization to help in making the right decisions.
34
Promoting Faculty Engagement in SIP
1.Make staff engagement a priority 2. Communicate the purpose 3. Listen to faculty and respond 4. Offer opportunities to participate 5. Lead the charge
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Longitudinal Data
data collection like this can help identify changes long-term, over a semester, a school year, or even a generation. has the added benefit of providing a larger sample size from which to draw generalizations. By gathering and evaluating data continuously, schools are able to chart trends and patterns in the data.
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Formative Data
provides assessment information about a program in progress, and can be used to see if programming must change along the way based on assessment results
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Summative Data
assesses a program after it is completed, and establishes any changes that need to be made should the program be run again in the future.
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Four Data Sources for School Improvement Teams
1. Student learning data 2. perception data 3. demographic data 4. school processes data