Needs assessment

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bethmfair

Education Technology

Colorado Department of Education A Guide For a Comprehensive Needs Assessment Southwest Comprehensive Center of West Ed.

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Needs Assessments (CDE, 3) ,[object Object],[object Object],[object Object],[object Object],[object Object]

Focus, Team & Goals ,[object Object],[object Object],[object Object],[object Object]

Data Analysis (CDE, 13-14) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

SMART GOALS (CDE, 15) ,[object Object],[object Object],[object Object],[object Object],[object Object]

Comprehensive Plan ,[object Object],[object Object],[object Object],[object Object]

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Data Driven Instructional Decision Making A framework Data –Driven Instruction Data-driven instruction is characterized by cycles that provide a feedback loop in which teachers plan and deliver instruction, assess student understanding through the collection of data, analyze the data, and then pivot instruction based on insights from their analysis. From: Teachers know best: Making Data Work For Teachers and Students Bill & Melinda Gates Foundation https://s3.amazonaws.com/edtech-production/reports/Gates-TeachersKnowBest-MakingDataWork.pdf Data-Driven Decision Making Process Cycle Data Planning and Production Data Analysis Developing an Action Plan Monitoring progress Measuring Success Implementing the Action Plan Data is used From : Teachers know best: Making Data Work For Teachers and Students Bill & Melinda Gates Foundation https://s3.amazonaws.com/edtech-production/reports/Gates- TeachersKnowBest-MakingDataWork.pdf Data –Driven Instruction Feedback Loop Data Planning and Production Data Analysis Developing an Action Plan Monitoring progress Measuring Success Implementing the Action Plan Data –Driven Instruction Feedback Loop Data Planning and Production Data Analysis Developing an Action Plan Monitoring progress Measuring Success Implementing the Action Plan Instructors need to facilitate this data –driven instruction decision loop in a timely and smooth fashion …and on an ongoing basis • Per student • Per class • Per group Data –Driven Instruction Feedback Loop Roles Inherent in the Data-Driven Instruction Decision Making Loop • Planner • Data Producer • Data Analyst • Monitor • Reporter • Data End User • IT • Operations and Logistics Data Planning and Production Questions • What questions are to be addressed in future data-informed conversations? Which questions are more important? • What information (metrics) are needed to answer these question? • Is the information available and feasibly attainable? • Are the necessary technology and resources available? • How can current non-data based instructional decision making be mapped to data-based instructional decision making process? • What are the costs associated with this endeavor? • What are the timelines ? • How and when will the data be collected and stored? Data Analysis Questions • What relations exists between the metrics? What patterns do the data reveal? • How many levels of the metric are needed to answer the questions? • Do the original questions need to be revised or expanded? • Do the original metrics need to be redefined or expanded? • What analytical tools are currently available? What tools need to be designed to support the analysis? • What method of analysis or evaluation will be used? • What are the data limitations, strengths, challenges, context? Monitor Questions • How are the metrics evolving as the learning and instructional processes evolve.

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