Table 3. This course is worth 3 semester units/5 quarter units (50 hours of training) from UC San Diego Extension. Customized instructions are provided for each type of professional development. + Driven by Data: A Practical Guide to Improve Instruction (by Paul Bambrick-Santoyo) This book provides tips and general guidelines about data-based methods and the subsequent difficulties surrounding the implementation of data-driven instruction. The Planning Criteria. Coupled with the use of school-based data and observations, coaching and mentoring conversations can contribute to the professional development to classroom practices, but that when coaching was included in the teachers professional learning, the application of the learning increased substantially. Not just once or twice a year, but once or twice a monthor Teacher-made exam/quiz results 5. Download Using Data To Drive Instruction Professional Development DOC. Creating a School-Wide Culture of Data-Driven Instruction. 40. Find out the latest technology tips, tools, and innovative best practices schools are using every day Table D1. When it comes to at-risk students, early detection is critical. hidden data gems that can be helpful for driving future instruction. We will also present possible questions to ask and answer using PALS data at the end of the year. Reflect and Develop Buy-In. Make math learning fun and effective with Prodigy Math Game. This requires flexibility and causes your instruction to meet the specific needs of your students. Books and Professional Development Models. Wayman, J. C. (2005). How to Use Student Data to Drive Instruction Establish Colleague and Administrator Buy-In. The Professional Development Program to Support Data- Driven Instruction Intervention . I want to learn more . SEDL Letter, 19(1), 1115. Intermediate (1 - 2 days) Includes follow-up. The data gives educators the teaching points of emphasis for the next steps in the instructional path. The Professional Development Plan will be updated regularly to allow mid -course adjustments activities to ensure teams use data to drive instruction and make collective changes How to Use Data to Drive Instruction 1. When it comes to at-risk students, early detection is critical. Assignment #1: Write an autobiography/Write an article reflection. National Research Center for CTE Professional Development Model: CTEDDI (Career and Technical Educators using Data-Driven Improvement) National Research Center for CTE; CTEDDI is an evidence-based program designed to prepare CTE administrators and teachers to use assessment data to continuously improve programs * * * * Thank you! At-risk indicators such as missed classes, poor grades, disengaged behavior, etc. https://learn.teachingchannel.com/video/professional-development-around-data Part II: Strategies for Data Driven Classrooms Deep dive into IXL Analytics and adapting instruction using up-to-the-minute insights. School leaders set the cultures within their organizations. Stafing Survey data Whats Happening Heather J. Lavigne. interested in promoting the effective use of data. Today. When you know who needs enrichment and who needs remediation, it's possible to provide more individualized instruction. Here are some suggestions: Decide on consistent ways to gather data. Select at least one social studies state standard for a Grade K-3 on which to focus examples in your presentation. 13. Outcome: Participants Examine Best Practices in Using Assessment and Demographic Data to Inform Instruction Focus: Assessment Audience: PK-12 Administrators & Data Teams Description: A data-informed system refines curricula and instruction in light of trends in assessment outcomes and encourages staff in their own reflection.Thus, assessment and data-usage leadership includes the facilitates the use of assessment data to inform instruction and meet the needs of all students, especially struggling readers. In my first year of teaching, I have found nothing quite as influential to my practice as using data to drive instruction. Studies cited in recommendation 2 that meet WWC standards with or without reservations . Uses models and modeling of effective practice. Use technology to design and implement a variety of formative and summative assessments that accommodate learner needs, provide timely feedback to students and inform instruction. Professional Development sessions target specific needs of teachers and staff for a variety of subgroups, such as Science, Pre-AP/AP, ELA, Math, Middle School Concepts, to name a few. Unit One. Jacqueline Zweig. 66 data use. Provide supports that foster a data-driven culture within the school. Dig into a skill or standard regularly. Analyze MAP Growth data to support planning and instruction. It is a easy way to track the data and very user friendly. Table 4. Using Data to Differentiate Instruction Class Description & Purpose: In this class participants will develop an understanding of how to effectively utilize data to differentiate instruction in the classroom. Types of Data. Such professional development: Is content focused. Professional development is an ongoing cycle of improvement, where data is used to encourage reflection, inquiry, and dialogue in a collaborative learning community. Use Data to Identify At-Risk Students. The purpose of this brief is to provide guidelines for building a high-quality professional development program in Reading First schools. With the help of our experts, you and your teachers can learn efficient, effective practices to integrate data-driven instruction and maximize student success. We will look at useful reports at the division, school, and teacher levels. Data and Teacher Effectiveness. Creating a School-Wide Culture of Data-Driven Instruction. Data Use . This course will help educator use data analysis to improve student learning. Sample stakeholder perspectives on data system use . 32 Implementation instruction as part of a data- informed Cycle of Inquiry that begins with identifying a Pattern of Need. Karen Shakman. Collecting and Using Data to Inform Planning and Instruction. Commit to using your instructional priority (and related tools and resources) to support and develop teachers instead of for evaluative purposes. the four fundamental building blocks of effective data-driven instruction. These four principles are: 1. Assessment Create rigorous interim assessments that provide meaningful data. 2. Analysis-- Examine the results of assessments to identify the causes of both strengths and shortcomings. 3. Considerations for built and purchased data systems . Supports collaboration, typically in job-embedded contexts. Best practices for using the Real-Time Diagnostic, IXL curriculum, and Recommendations to support daily instruction and personalize learning. This helps all students get what they need to succeed. Using data to make instructional decisions. Data Use Professional Development Series . Teq Unveils Professional Development Course Co-Developed With Education Visionary Sharnell Jackson to Help Schools Use Data to Drive Personalized Learning Success Read full Data= Information
It is often organized for analysis and used to make decisions.
3. In 1994, Data should help determine collaborative groups, small group instruction, and peer tutors. using Data . We have published best-selling books on instructional techniques, coaching rookie teachers, using data to drive more effective instruction, and more. Asynchronous courses allow teachers to revisit instruction as needed and even learn through a flipped classroom model of blended learning. Our books have been translated into multiple languages, and are helping educators around the world who are looking to take student learning to the next level. How can qualitative data be used to drive instruction? This data is used in professional development planning and will lead to improved student performance. data-driven professional development improving reading instruction through data-driven professional development within the response to intervention model: a case study by sara a. monaco b.a. Teachers will understand the purpose of data teams and will be introduced to the creation of same at the elementary, middle, and high school levels. The Principles of Data-Driven Instruction. Why I chose this book: 1. She's been teaching for 20 years and has learned the value of using assessment data to drive instruction. Theresa London Cooper. 57. Data-Driven Dialogue Protocol A core tool in your analysis toolkit is Data-Driven Dialogue, a four-phase protocol for having powerful and focused conversations about data. These sessions will help all stakeholders master the process of using data to drive instruction. Lets discuss four paramount ways you and your team of educators can use student data to effectively inform instruction.

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