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Oklahoma School SLPs Expand Literacy Role

2008· article· en· W2907405711 on OpenAlexaboutno aff
Nicole Gerarda Power, Kim Kysar

Bibliographic record

VenueASHA Leader · 2008
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
Fundersnot available
KeywordsIntervention (counseling)School districtPsychologyLiteracyMedical educationPedagogyMedicine

Abstract

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You have accessThe ASHA LeaderSchool Matters1 Sep 2008Oklahoma School SLPs Expand Literacy RoleIn Two Districts, Response-to-Intervention Brings Opportunity for Change Nicole Power andMS, CCC-SLP Kim KysarMS, CCC-SLP Nicole Power Google Scholar More articles by this author , MS, CCC-SLP and Kim Kysar Google Scholar More articles by this author , MS, CCC-SLP https://doi.org/10.1044/leader.SCM2.13132008.38 SectionsAbout ToolsAdd to favorites ShareFacebookTwitterLinked In When two Oklahoma districts became the first in the state to adopt a response-to-intervention (RTI) model, two of us took a leadership role as speech-language pathologists—one in each district—redefining our roles, caseloads, and service delivery models in a way that benefited all students. Two weeks before the 2005–2006 school year, the Bethany Public School District special education director returned from a conference on RTI and wanted to begin a program immediately. Bethany School District became one of the first districts in the state to implement RTI, and Yukon Public Schools followed two years later. It was uncharted territory for everyone. An RTI specialist who is an associate professor of school psychology at Oklahoma State University helped the district’s educators, specialists, and administrators understand the core concepts of RTI. He walked us through each tier in the model. Professional journals offered SLPs information related to their field. The more we learned about RTI the more excited—and terrified—we became. We were excited at the thought of early intervention without the need for formal testing or Individualized Education Programs but terrified of changes in the role of SLPs. Where or how our area of expertise would fit into this new and alternate model was unclear. Leading Change Key district faculty met to discuss the RTI components to be implemented. Universal screenings, progress monitoring, research-based interventions, and data-based decision-making were the new buzz words. The schools also would need a coordinator to bridge the regular and special education worlds. That person would identify research-based literacy screenings, collect and analyze data, and collaborate with teachers to provide literacy interventions. It was striking how the responsibilities of the RTI coordinator matched the roles of the SLP discussed in new ASHA documents. Several professionals could lead RTI, but our knowledge of language and emerging literacy and our ability to assess, collect, and interpret data made SLPs uniquely qualified. At the time few SLPs in Oklahoma were involved in RTI to the same extent, so we needed to define our roles. Leading RTI and managing a speech-language caseload wasn’t easy. How could we do both effectively? RTI forced us to review what was and wasn’t working well as we examined eligibility, educational impact, and service provision. We began questioning whether the students on our caseload had differences or disorders, and in reviewing our current caseload, we determined which students could be better served through an RTI model. New Service Models In RTI workshops we had been educating teachers about the key role of short-term, intense, and frequent intervention. If this role is true for teachers, why couldn’t it be true for SLPs? Several service models emerged in speech-language research that blended well with the RTI model. Instead of serving students twice per week throughout the year, we developed intense and frequent sessions for students in shorter time periods (Ukrainetz, 2006; Ukrainetz& Justice, 2006). For example, in a 40-student caseload, 10 students would be served daily for nine weeks. Between direct service periods, SLPs provided progress monitoring and met with teachers. This model has reduced the number of speech/language students receiving direct services at a given time, provided continuity for students, and increased the amount of time available for SLPs to provide interventions for struggling students in the general population. Working Smarter During our new “consultation and collaboration” time we teamed with school staff to work on literacy. We began “Students Are Responding to Intervention” (START-IN; Montgomery & Moore-Brown, 2006) groups with special education teachers. This RTI program addresses literacy and language for struggling readers. We researched interventions and provided flyers about evidence-based reading strategies. There was time to problem-solve with teachers to pinpoint underlying language difficulties for struggling readers. Quick reference sheets for spelling instruction and phonological awareness error correction strategies were developed. We collected data and informed the administration of our efforts to support reading within the school. We wanted administrators to know that although caseloads were lower due to effective early intervention and cycle scheduling, more students were benefiting from the expertise of SLPs. Teachers and SLPs had questions about job boundaries and worries of encroachment. Adapting to change took time, but within a year teachers and specialists found a niche and were happy with the changes. One Bethany special educator said, “Regular ed will do a little special ed and vice versa as we work together to do what’s best for kids.” “Collaboration is key with RTI,” a principal said. “All teachers come together to get interventions that are scientifically based. It’s about being able to work smarter, not harder!” In addition to providing expertise and leadership, SLPs can gain knowledge from other professionals on the team. The role of SLPs in RTI may seem like an overnight change but was actually an extension of our role in phonological awareness groups, “language time” within classrooms, kindergarten screenings for literacy readiness, and research summaries for administration. Bethany School District began a state-wide language/literacy conference for school-based SLPs featuring nationally known presenters, and then implemented the new information. Over time the trajectory toward a larger literacy role for SLPs and RTI has been a natural progression that allows SLPs to work effectively with all students. RTI is an opportunity to showcase the value of our profession in the educational community—and for the Bethany and Yukon public school districts it was an opportunity to improve outcomes for students and expand our effectiveness in our schools. Resources & References American Speech-Language-Hearing Association. (2000). Guidelines for the roles and responsibilities of the school-based speech-language pathologist. Rockville, MD: Author. Available from www.asha.org/policy. CrossrefGoogle Scholar American Speech-Language-Hearing Association. (2001). Roles and Responsibilities of Speech-Language Pathologists With Respect to Reading and Writing in Children and Adolescents [Guidelines]. Available from www.asha.org/policy. Google Scholar American Speech-Language-Hearing Association. (2001). Roles and Responsibilities of Speech-Language Pathologists With Respect to Reading and Writing in Children and Adolescents [Position Statement]. Available from www.asha.org/policy. Google Scholar American Speech-Language-Hearing Association. (2001). Roles and Responsibilities of Speech-Language Pathologists With Respect to Reading and Writing in Children and Adolescents [Technical Report]. Available from www.asha.org/policy. Google Scholar American Speech-Language-Hearing Association. (2002). Knowledge and Skills Needed by Speech-Language Pathologists With Respect to Reading and Writing in Children and Adolescents [Knowledge and Skills]. Available from www.asha.org/policy. Google Scholar Montgomery J. K., & Moore-Brown B. J. (2006). Students Are Responding To Intervention (START-IN) A Response to Intervention (RTI) Program for Reading. Greenville, SC: Super Duper Publications. Google Scholar Responsiveness to Intervention (RTI). Available at www.asha.org/slp/schools/prof-consult/RtoI.htm. Google Scholar Staskowski M. (2007, November). Language Expertise: A Key Component for Problem Solving in RTI. Presented at the American Speech-Language-Hearing Association Annual Convention, Boston, MA. Google Scholar Ukrainetz T. A. (2006). The Implications of RTI and EBP for SLPs: Commentary on L.M. Justice.Language, Speech, and Hearing Services in Schools, 37, 298–303. Google Scholar Ukrainetz T. A., & Justice L. M. (2006, November). Response to Intervention: Challenges and Opportunities for SLPs. Presented at the American Speech-Language-Hearing Association Annual Convention, Miami, FL. Google Scholar Author Notes Nicole Power, MS, CCC-SLP, is an SLP and RTI coordinator at Bethany Public Schools. She works with schools to advance RTI programs and develop interventions for students who struggle with language and literacy. Contact her at [email protected] Kim Kysar, MS, CCC-SLP, is an SLP and RTI coordinator at Yukon Public Schools. She collaborates with RTI team members to assist in the data-driven decision making process. Contact her at [email protected]. Advertising Disclaimer | Advertise With Us Advertising Disclaimer | Advertise With Us Additional Resources FiguresSourcesRelatedDetails Volume 13Issue 13September 2008 Get Permissions Add to your Mendeley library History Published in print: Sep 1, 2008 Metrics Downloaded 451 times Topicsasha-topicsleader_do_tagleader-topicsasha-article-typesCopyright & Permissions© 2008 American Speech-Language-Hearing AssociationLoading ...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.294
Threshold uncertainty score0.984

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0040.004
Open science0.0010.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.2940.070

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.065
GPT teacher head0.375
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2008
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