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A Model for Collaborative Technical Assistance for SPP Indicators 1, 2, 13, & 14 Loujeania Bost, Charlotte Alverson, David Test, Susan Loving, & Marianne.

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Presentation on theme: "A Model for Collaborative Technical Assistance for SPP Indicators 1, 2, 13, & 14 Loujeania Bost, Charlotte Alverson, David Test, Susan Loving, & Marianne."— Presentation transcript:

1 A Model for Collaborative Technical Assistance for SPP Indicators 1, 2, 13, & 14 Loujeania Bost, Charlotte Alverson, David Test, Susan Loving, & Marianne Moore

2 What We’ll Share  An accountability framework for improving transition education, services, and outcomes  Examples of coordinated work  State perspectives

3 IDEA Purpose (d)(1)(A) to ensure that all children with disabilities have available to them a free appropriate public education that emphasizes special education and related services designed to meet their unique needs and prepare them for further education, employment, and independent living.

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5 SPP and APR In Part B there are 4 indicators specific to transition: 1.% of youth who graduate 2.% of youth who drop out 13.% of youth with transition components in the IEP 14.% of youth who achieve post-school outcomes

6 Critical Interrelationships Quality IEPs Staying in School Graduating Positive post- school outcomes

7 Post-School Outcomes ~Indicator 14~  Postsecondary education and/or training  Employment  Independent living Dropping Out ~Indicator 2~  Why?  Appropriate programs?  Address student and family needs? Graduation ~Indicator 1~  Expectations and standards?  Various pathways available?  Linkage to post-school environments? What’s the Quality of Our IEPs? ~Indicator 13~  Measurable post-school and annual goals  Transition-related assessments  Course of study, services, and activities  Coordination of services N ot so good? Good? Why? Why Not?

8 What’s Coordinated TA?  Three centers implementing their charges  Three centers working together with RRCs to help meet state needs

9 The Cross-Indicator Meeting Process  1-2 day “brainstorming” session  Facilitated by staff from NDPC-SD, NPSO, NSTTAC, & RRC  Based on three sets of questions

10 Collecting and Analyzing Indicator Data Describe the characteristics of your state’s data collection system:  Who is responsible for designing data collection in your state for each transition indicator?  What methods are used to collect data for each indicator (e.g., what are the information sources, how is the information collected, is a unique identifier used to link indicators)?  Who is responsible for data collection?  Who is responsible for data analysis?

11 Collecting and Analyzing Indicator Data  What challenges and/or opportunities do your answers in Question 1 present for connecting and/or coordinating data collection around the indicators?  How can data collection and analysis be improved and/or coordinated to facilitate reporting and using data to foster program improvement?

12 Reporting Indicator Data  What data do you need to report?  What is the purpose of reporting data (e.g., accountability, program development, program evaluation)?  Who are the intended audiences?  How will you tailor the message to each particular audience?  What are the best formats/media for conveying information to your audiences?  What changes are needed?

13 Using Indicator Data to Foster Improvement How do your staff collaborate to use the indicator data for:  data-based decision making?  professional development?  policy analysis and change (including resource allocation)?  technical assistance?

14 State Perspectives  What are the key characteristics of team members?  How was this constructive for you?  Why would this be worthwhile for others?  What lessons were learned (state & center perspectives)?

15 Utah  Purpose of the meeting  Partners  Experiences  Aha’s  Outcomes

16 Virginia  Instructional Services Staff, Federal Program Monitoring Staff, Student Services, Data Manager, VR…  Various State Agencies collect data, but access to the data is limited  Explaining the data  Context for planning  Tie activities to Indicators and measure those activities  New activities needed?  Tree of Influence ties it all together Putting teams together, forming stakeholder groups, examining old activities and developing new activities

17 What’s Next  Taking the process to scale via regional and/or national meetings


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