Data Based Decision Making for Continuous Improvement

Data Quality

100

This should be drawn from a variety of sources to give complete picture (171)

What is Multisourced Data

200

What are surveys, questionaires, interviews, focus groups, and brainstorming.

What is Soft Data

300

Must be relevant to goals (172)

What is Relevant Data

400

Must be analyzed in terms of identifiable ethnic and socioeconomic group (173)

What is Disaggregating Data

500

Data compared with similarly collected data from previous years (173)

What is Consistent Data

Data and Assessment

100

Provides continuous feedback to teachers and learners (183)

What is Formative Assessment

200

What students know and don’t know; Student misconceptions; Learning styles, interests, learning preferences, multiple intelligences and Inform students of learning goals and assessment criteria are examples of these (181)

What are Diagnostic Assessments

300

Develop more authentic performance tasks that assess understanding is an example of this (185)

What is Summative Assessment

400

Data is often collected too far from the source to be useful to those who need the information. True or False (170)

What is True

500

What data should be collected, How should data be used, and Who should be involved drive this (165)

What is Continuous Improvement

What Do I Do?

100

Answering questions like Where has improvement been made? Where does improvement still need to happen? What areas are of greatest potential growth? Which student groups need the most help? Where are the same students weak and strong? (189)

What is Analyze the Data

200

Drive Decisions and Set Goals Target Interventions Continuously in Collaborative Teams Support change Initiatives Guide Continuous Improvement and Redefine Success Monitor Progress Guide Professional Development are guidelines for this (185)

What are Guidelines for Using Data

300

Review the data Did you learn something new by charting the data? Based on data collected, what are areas of celebration? Concern? are questions we answer as we...(189)

What is Reflect on the data

400

Develop a list of types of data you want to examine; Determine how you want to categorize and disaggregate the data; Design a graphic organizer that will help you get the best picture; Search for and record the data are all questions we ask when we are...(189)

What is Collecting Data

500

Questions such as Does this piece of work show proficiency? What are patterns of weakness? What criteria will be used to determine proficiency? are this type of data analysis

What are Results-oriented