This document summarizes a presentation on the relationship between systematic professional development and educators' beliefs and perceived skills related to Response to Intervention (RtI). It describes research showing professional development is most effective when delivered systematically over multiple stages with opportunities for practice and feedback. A study examined this relationship through surveys of educators who received multi-year RtI training. Multi-level modeling was used to account for educators being nested within schools. Preliminary findings suggest systematic professional development may positively impact educators' beliefs and perceived RtI skills.
Reviewing the Research and PEAC Recommendations around Principal EvaluationRichard Voltz
Presentation made by Benjamin Fenton, Chief Strategy and Knowledge Officer and Co-Founder of New Leaders for New Schools at the IASA sponsored workshop on November 18, 2011 at the Triple I Conference.
Reviewing the Research and PEAC Recommendations around Principal EvaluationRichard Voltz
Presentation made by Benjamin Fenton, Chief Strategy and Knowledge Officer and Co-Founder of New Leaders for New Schools at the IASA sponsored workshop on November 18, 2011 at the Triple I Conference.
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Discussion ab out trends in assessment and accountability for National Superintendent's Dialogue
The presentation is a systematic and comprehensive formative evaluation plan to investigate the implementation of social studies education for Democratic citizenship (SSEDC) in the mature stage. The lead evaluator will select a team to guide and conduct key actions throughout the evaluation process. The plan will begin with the Grades K-6 program description, followed by the theoretical framework, including the research questions that will guide the project over a 12-week period. The methodology will be mixed method survey design, using multiple methods to collect quantitative and qualitative data. The sampled target group will include various stakeholders in the school community, including the implementers and others as the need arises. Content and descriptive data analyses will be the suggested methods to extract themes and concepts and highlight possible findings influenced by (a) teachers’ understanding of SSEDC goal; (b) methods used by teachers; and (c) problems the teachers are experiencing during the implementation process. The evidence will form the basis for findings and conclusions, and for recommending strategies for improvement of SSEDC. The evaluation team will put measures in place to promote accurate results, and efficient reporting procedures. The evaluation team will put efficient reporting procedures or measures in place respected by the internal stakeholders – designers and implementers.
Quantitative External Project: Kentucky Professional Development Framework Im...LMweas
This study was designed to build on the KIDS (Kentucky Invest in Developing Success) NOW Initiative by conducting research investigating the degree to which a statewide unified professional development system impacted the educational level of early care and education providers and subsequent classroom quality.
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Discussion ab out trends in assessment and accountability for National Superintendent's Dialogue
The presentation is a systematic and comprehensive formative evaluation plan to investigate the implementation of social studies education for Democratic citizenship (SSEDC) in the mature stage. The lead evaluator will select a team to guide and conduct key actions throughout the evaluation process. The plan will begin with the Grades K-6 program description, followed by the theoretical framework, including the research questions that will guide the project over a 12-week period. The methodology will be mixed method survey design, using multiple methods to collect quantitative and qualitative data. The sampled target group will include various stakeholders in the school community, including the implementers and others as the need arises. Content and descriptive data analyses will be the suggested methods to extract themes and concepts and highlight possible findings influenced by (a) teachers’ understanding of SSEDC goal; (b) methods used by teachers; and (c) problems the teachers are experiencing during the implementation process. The evidence will form the basis for findings and conclusions, and for recommending strategies for improvement of SSEDC. The evaluation team will put measures in place to promote accurate results, and efficient reporting procedures. The evaluation team will put efficient reporting procedures or measures in place respected by the internal stakeholders – designers and implementers.
Quantitative External Project: Kentucky Professional Development Framework Im...LMweas
This study was designed to build on the KIDS (Kentucky Invest in Developing Success) NOW Initiative by conducting research investigating the degree to which a statewide unified professional development system impacted the educational level of early care and education providers and subsequent classroom quality.
Sabe aquela história que carnaval do ano seguinte começa logo na quarta-feira de cinzas? Pois é, algo parecido acontece com o Natal dos Shoppings :-) que começa a ser pensado logo no dia 06/01, dia em que tradicionalmente iniciam as desmontagens das decorações. Para inspirar a sua decisão, fizemos um apanhado de boas ideias praticadas em 2013. Use e abuse como referência ;-)
Steve Vitto Response to Intvervention (RTI) in School-wide Behavior Support 2009Steve Vitto
This is an overview of the RTI process presented by Steve Vitto in East Grand Rapids in November 2008. Steve can be contacted at svitto@muskegonisd.org
Steve Vitto Response to Intervention (RTI)Steve Vitto
A recent presentation on Response to Intervention and relating the three tier model to evidenced based behavioral supports (i.e., as it applies to classroom management , strategic interventions and interventions for intensive behaviors).
Presentation from:
Siko, J.P. & Chambers, T. (2014, December). Aligning teacher evaluations, school goals, and student growth into a school-wide model. Presentation at the Michigan Elementary and Middle School Principals Association, Traverse City, MI.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
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The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
The Art of the Pitch: WordPress Relationships and Sales
Fasp pd skills & beliefs
1. The Relationship Between Systematic Professional Development and Educators’ Beliefs and Perceived RtI Skills: Preliminary Findings Jose Castillo, Ph.D. FASP Annual Conference November 2010
2. Policy Driving Problem Solving/Response to Intervention (PS/RtI) Implementation National No Child Left Behind (2002) Scientifically-based instruction Adequately Yearly Progress Individuals With Disabilities Education Improvement Act (2004) Scientifically-based intervention Frequently administered assessments over time Decision regarding student RtI Blueprint for Reform 2010 Multi-tiered systems of support Data-based decision-making State Florida Statewide Problem Solving/Response to Instruction/Intervention Plan PS/RtI = way of work Established infrastructure to facilitate statewide implementation Differentiated Accountability Model State Rules General Education Intervention Specific Learning Disabilities Emotional/Behavioral Disorders Language Impaired
3. Research on PS/RtI Implementation PS/RtIlinked to improvements in outcomes (e.g., Burns, Appleton, & Stehouwer, 2005) Student (e.g., reading, math) Systemic (e.g., office discipline referrals, special education referrals and placements) Studies in literature focused on: Limited number of sites at different units of analysis Limited number of variables related to implementation Systematic evaluation of scaling-up PS/RtI needed
4. Why have past initiatives failed? Purpose unclear Lack of ongoing communication Unrealistic expectations of initial success Failure to measure and analyze progress Participants not involved in planning… School culture is ignored Failure to achieve CONSENSUS
6. Stages of Implementing Problem-Solving/RtI Consensus Belief is shared Vision is agreed upon Implementation requirements understood Infrastructure Development Regulations Training/Technical Assistance Model (e.g., Standard Protocol) Tier I and II intervention systems E.g., K-3 Academic Support Plan Data Management Technology support Decision-making criteria established Implementation
7. Tiered Model of School Supports & the Problem-Solving Process ACADEMIC and BEHAVIOR SYSTEMS Tier 3: Intensive, Individualized, Interventions. Individual or small group intervention. Tier 2: Targeted, Strategic Interventions & Supports. More targeted interventions and supplemental support in addition to the core curriculum and school-wide positive behavior program. Tier 1: Core, Universal Instruction & Supports. General instruction and support provided to all students in all settings. Revised 10.07.09
8. Relevant Change Research Examples Educator beliefs impact willingness to implement new practices (Fang, 1996) Multi-stage professional development model including coaching results in most educators implementing new practices (Joyce & Showers, 2002) Measuring fidelity at the intermediate level results in data sensitive enough to relate to outcomes (Noell & Gansle, 2006) Change research applicable to scaling-up PS/RtI? Empirical evidence supporting elements of change models often limited Unclear how models examined for instructional practices relate to PS/RtI
9. Potential Influences on Implementation Educators will embrace new ideas when two conditions exist: They understand the NEED for the idea They perceive that they either have the SKILLS to implement the idea OR they have the SUPPORT to develop the skills
10. Effective Professional Development Systematic and ongoing Includes 3-4 stages (Joyce & Showers, 2002) Theory/Rationale Demonstration/Modeling Opportunities to practice Collaborative feedback Should result in increased skills and capacity to implement To what extent does this professional development model generalize to training educators on PS/RtI?
11. Research Questions What is the relationship between a systematic professional development model and Educators’ beliefs regarding: Academic performance and capabilities of students with disabilities? Data-based decision-making? Functions of core and supplemental instruction? 2) Educators’ perceptions regarding their: RtI skills applied to academic content? RtI skills applied to behavior content? Data manipulation and technology use skills?
23. PS/RtITraining Curriculum & Procedures Overview 13 six-hour sessions delivered over 3 years Provided to School-Based Leadership Teams 5-4-4 day sequence over 3 years Topics included: rationale for implementing PS/RtI, systems change principles, 4 steps of problem solving, multi-tiered model of services 4 stage professional development model employed Days of training staggered for TA and Coaching activities to occur between Training and support provided to PS/RtI Coaches by Project Initial 5-day coach training provided Meetings with Coaches occurred 2 x per year Coaching activities informed by multiple data sources
24. Measures Beliefs Survey 27 items 4 demographic questions 22 items assessing beliefs 3 domains of beliefs assessed: Academic abilities and performance of students with disabilities Data-based decision-making Functions of core and supplemental instruction 5-point Likert Scale Used (ranges from 1 = Strongly Disagree to 5 = Strongly Agree) Validity evidence Content reviewed by Expert Educator Validation Panel Exploratory factor analysis resulted in 3 domains Reliability evidence Cronbachα’s for each domain ranged from .79 to .87
25. Measures cont. Perceptions of RtI Skills Survey 20 items 3 domains of perceived RtI skills assessed: RtI Skills applied to academic content RtI skills applied to behavior content Data manipulation and technology use 5-point Likert Scale Used (ranges from 1 = No skills to 5 = Very Highly Skilled) Validity evidence Content reviewed by Expert Educator Validation Panel Exploratory factor analysis resulted in 3 domains Reliability evidence Cronbachα’s >= .94 for each domain measured
26. Measures cont. Perceptions of Practices Survey 17 items 2 domains of perceived practices assessed: RtI practices applied to academic content RtI practices applied to behavior content 5-Point Likert Scale (ranges from 1= Never Occurs to 5 = Always Occurs) Validity evidence Content reviewed by Expert Educator Validation Panel Exploratory factor analysis resulted in 2 domains Reliability evidence Cronbachα’s >= .96 for each domain measured
27. Measures cont. PS/RtI Coach Activity Logs Coaches inputted daily activities engaged in at demonstration sites into remote database Activities grouped into 5 domains Training Technical Assistance Project Data Collection Meetings Other Reports generated with information on: Frequency and duration of activities within each domain Targets of activities (e.g., pilot school)
28. Measures cont. Demographic and achievement data from schools derived from FL DOE Data Warehouse Example variables: FCAT Scores Free/reduced lunch status ESE status Final data files sent to Project from Warehouse approximately 1 year after completion of school year
29. Data Collection Procedures for Surveys Regional Coordinators and PS/RtI Coaches received 1 hour training on administration procedures with periodic follow-up Administered to SBLTs and instructional staff at pilot and comparison schools SBLTs administered surveys at SBLT trainings School staff administered trainings via: Staff meetings (preferred) Grade-level meetings Mailbox dissemination Administered at Beginning of Year 1, End of Year 1, End of Year 2 (except for Perceptions of Practices Survey), End of Year 3 Data entered into databases by Graduate Assistants Ongoing data entry checks occurred on 10% of randomly selected surveys Vast majority of inter-rater agreement estimates exceeded 95%
30. Data Analysis Descriptive analyses Mean and standard deviations of domain scores examined by time Visual representation of data facilitates decision-making Inferential analyses Critical to account for context in which professional development delivered Multi-Level Modeling (MLM) Accounts for nested data (e.g., educators influenced by similar school and district practices) by examining multiple levels of a system Attributes variance in dependent variable to predictors at each level by finding “best fit” for the data Models can be constructed using different rationales Previous research Exploration via contribution to the model
31. MLM Analyses 3-level models examined for each research question Time Educator School Dependent variable = average domain score from Beliefs and Perceptions of RtI Skills Surveys Models constructed using combination of previous research and exploration Alpha set at .05
43. Consistent Findings from Beliefs MLMs Educator beliefs within each domain significantly increased across time Variables consistently related to beliefs Levels SBLT membership (+) Position/role (+) Particularly for administrators Years of experience (-) Students with Disabilities & Data-Based Decision-Making domains Perceptions of RtI practices applied to academics (+) Pilot school membership (+) Changes across time No consistent patterns
51. Consistent Findings from Perceived Skill MLMs Educator perceived skills within each domain significantly increased across time Variables consistently related to perceived skills Levels Position/role (+) Particularly for administrators and other personnel Degree earned (+) Perceptions of RtI practices applied to academics (+) Membership in one of the seven districts (+) Changes across time SBLT membership across time (+) Perceptions of RtI practices applied to academics (-)
57. Consistent Findings from Beliefs MLMs Educator beliefs within each domain significantly increased across time Variables consistently related to beliefs Levels SBLT membership (+) Position/role (+) Particularly for administrators Years of experience (-) Students with Disabilities & Data-Based Decision-Making domains Perceptions of RtI practices applied to academics (+) Pilot school membership (+) Changes across time No consistent patterns
58. Consistent Findings from Skill MLMs Educator perceived skills within each domain significantly increased across time Variables consistently related to perceived skills Levels Position/role (+) Particularly for administrators and other personnel Degree earned (+) Perceptions of RtI practices applied to academics (+) Membership in one of the seven districts (+) Changes across time SBLT membership across time (+) Perceptions of RtI practices applied to academics (-)
59. SBLT Membership Across Time Indicator of systematic professional development delivered Received 13 days of training from Project across 3-year period Received ongoing coaching Significant increases across time = evidence supporting systematic training model Significant increases occurred for perceived skills but not beliefs Researchers suggest beliefs very difficult to change once established (Pajares, 1992) Less emphasis on targeting beliefs after Year 1 Other factors associated with SBLT membership may also play a role (e.g., background knowledge, other experiences) in skill development
60. Other Professional Development Indicators Pilot School Membership Across Time Working in a pilot school did not significantly predict belief or perceived skill changes over time Working in a pilot school predicted higher belief levels Less known about what professional development occurred between trainings with SBLT members and other school staff More systematic examination of follow-up coaching and support needed Coach Provided Training and Technical Assistance Across Time Number and duration of coaching sessions did not significantly predict belief or perceived skill changes over time Number and duration of coaching predicted some belief and skill levels Log systems rely on accurate entry of activities Quality indicators of coaching may be necessary
61. Position Educators’ positions often significantly predicted belief and perceived skill levels Being an administrators predicted beliefs and perceived skills for all domains Fitting into the other personnel category predicted perceived skill levels across all 3 domains as well as beliefs about data-based decision-making Being a General Education Teacher (Academics as well), Special Education Teacher, and Student Support Services personnel member predicted perceived skill levels for behavior content Training and experiences of educators gained through their roles/responsibilities may influence belief and skill levels
62. Years of Experience Having more years of experience predicted lower belief levels regarding Academic abilities and performance of students with disabilities Data-based decision-making Researchers suggest (Parajes, 1992) Beliefs formed early in teachers’ careers Beliefs difficult to change once formed
63. Highest Degree Holding an advanced degree significantly predicted higher levels of perceived RtI skills across domains Additional training received during graduate studies may increase capacity to implement PS/RtI practices Implications for pre-service teacher education?
64. Perceptions of RtI Practices Higher levels of Perceived RtI Practices Applied to Academic content related to higher levels of Beliefs Perceived skills Increases in Perceived RtI Practices Applied to Academic content predicted decreases in perceived skills over time as well as decreases in beliefs about the functions of core and supplemental instruction Some experience with implementing PS/RtI may: Lead to higher initial levels of perceived skills Be associated with higher levels of beliefs consistent with PS/RtI Decreases in perceived skills may occur as educators gain more experience and a greater understanding of what the model entails
65. District Membership Membership in one district significantly predicted higher levels of perceived skills across domains District infrastructure (e.g., data systems, previous experience with data meetings) may influence initial skill levels of educators More precise measures of district policies, practices, or other variables may be needed to determine district influence on perceived skills
66. Implications for Research and Practice Systematic professional development Adaptation of systematic professional development model: Scaling-up within and across districts to SBLTs? Providing systematic professional development to instructional staff not on SBLT? Addressing frustrations/difficulties? How to address frustrations with difficult practices? How to provide support when implementation challenges arise? Pre-service education Infusing RtI instruction into preparation programs? Cross disciplinary training? Addressing beliefs of educators prior to entering the field? Roles/responsibilities What do principals need to know and do? Teachers? Other personnel? How do beliefs and perceived skills relate to PS/RtI implementation? Levels? Changes over time? Perceived vs. Actual skills – future research needed to pursue understanding of the relationship between differences in what is perceived and what skills can actually be demonstrated.
67. Potential Limitations Quasi-experimental design makes direct causal statements difficult to make Attrition of one district occurred Staff turnover and variable return rates of surveys Demographic and achievement data from Year 3 to be collected
68. References Burns, M., Appleton, J.J., & Stehouwer, J.D. (2005). Meta-analytic review of responsiveness-to-intervention research: Examining field-based and research - implemented models. Journal of Pscyhoeducational Assessment, 23, 381-394. Fang, Z. (1996). A review of research on teacher beliefs and practices. Educational Research, 38(1),47-65. Joyce, B., & Showers, B. (2002). Student achievement through staff development (3rd Ed). Association for Staff and Curriculum Development. Noell, G.H., & Gansle, K.A. (2006). Assuring the form has substance: Treatment plan implementation as the foundation of assessing response to intervention. Assessment for Effective Intervention, 32(1), 32-39. Pajares, M.F. (1992). Teachers’ beliefs and educational research: Cleaning up a messy construct. Review of Educational Research, 62(3), 307-332.
69. Thank You! A special thanks goes to the Project Interns and Graduate Assistants whose hard work and dedication made this presentation possible: Amanda March Kevin Stockslager Amber Brundage Mario Montesino Tom Makowski Cheryl Duong Lisa Bateman
The scope and sequence for training in year one was training teams across 5 days through the year on the use of a PS model. Day 1 consisted of overview, philosophical foundations, historical problems with traditional ways of working with student problems and introduction to PS model and systems change model, including a three-tiered model for service delivery. Days 2 through 5, each, consisted of focus on one of 4 steps to the PS model in use in Florida: PID, PA, Plan Development and Implementation, and RtI Evaluation. As a context for training PS, teams were taught to apply steps of PS to Tier 1, or the CORE instruction/services provided to all students. Additionally, they were provided with strategies and information concerning consensus building. In year 2, training is being provided across 4 days through the year with a focus on building upon efforts at Tier 1 and related consensus activities to begin addressing a use of PS at Tier 2 along with emphasis on building infrastructure at all three tiers. Additionally, training in year 2 has been focused on accountability through instruction on strategies to measure fidelity of both using PS model and implementing interventions. Training content for year 3 is in planning, will involve 4 days across the school-year and will be developed based upon data collected from the schools and input from coaches and Regional Coordinators.