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ELL SURVEY PART I Selected Excerpts

ELL SURVEY PART I Selected Excerpts . Bilingual, Immigrant and Refugee Director’s Meeting Seattle, Washington Gabriela Uro and Alejandra Barrio May 2011 . ELL Enrollment ELL Percentages and Changes in Enrollment .

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ELL SURVEY PART I Selected Excerpts

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  1. ELL SURVEY PART I Selected Excerpts Bilingual, Immigrant and Refugee Director’s Meeting Seattle, Washington Gabriela Uro and Alejandra Barrio May 2011

  2. ELL Enrollment ELL Percentages and Changes in Enrollment • Most districts experienced a 2 percentage point fluctuation in their ELL enrollment. • Districts experiencing the largest change in ELL percentage: Providence (5.5 percent point increase) and Chicago (5.7 percent point decrease) (See Table 2, page 4) • Data for 65 districts - includes district responses and NCES data • ELLs comprised16% – 17% of student enrollment in our districts from SY2007-08 to SY2009-10. (See Table 1, page 3) • ELL enrollment has remained relatively stable over this 3 year period

  3. ELL Enrollment Range in Enrollment Table 4. ELL numbers • Only two districts enroll more than 100,000 ELLs--NYC and LAUSD • The two largest groups comprise Council districts that enroll— • Between 1,000 and 5,000 ELLs (22/65) • Between 10,000 and 50,000 ELLs (19/65) • Enrollment by grade level Table 3. ELL as Percentage • In almost one third of Council member districts (19/65) districts ELL s represent enrollment between 20% - 60% of total student enrollment • In almost half (29/65) of the Council member districts ELLs represent 10% or less of total student enrollment

  4. Number of ELLs identified as requiring Special Education Services (33 districts) • Overall enrollment decreased in these districts • 29,000 fewer Non-ELLs and 19,000 fewer ELLs. • However, the number of ELLs and Non-ELLs classified as requiring special education services increase in these districts • 10,000 more Non-ELLs and 10,000 ELLs in Special Education

  5. ELL Enrollment in Special Ed. Continued ELLs in Special Education as a percentage of total ELL enrollment outpaced two related trends (Exhibit 2): • ELL as a percentage total enrollment and • Non-ELLs in Special education as a percent of Non-ELL enrollment

  6. ELL’s representation in Special Education A risk ratio above 2 or below 0.5 is cause for concern-- • Three out of 4 reporting districts had a risk ratio above 0.5 and below 2 • 6 districts had a risk ratio below 0.5 • 1 district had a risk ratio above 2 Risk ratio – likelihood that an ELL would be classified with a disability compared to Non-ELL students. • 1:1 risk ratio = ELLs and Non-ELLs have the same likelihood of being eligible for Special Education services • Risk ratio of 2 = ELLs are twice as likely as Non-ELLs to be classified as requiring special education services • Risk ratio of 0.5 = ELLs are half as likely as Non-ELLs to be classified as requiring special education services

  7. English Proficiency Levels for the 2009-2010School Year 36 districts provided data on English proficiency levels for ELLs disaggregated by the number of years that these ELLs have been participating in programs by the 2009-2010 school year. • Exhibit 6 provides a graphic representation of a Sample District’s total K-5 ELLs at each Level of English proficiency disaggregated by • Those who have been in program for 3 to 5 years • Those who have been in program for more than five years • Does not include ELLs who have been in program for less than 3 years

  8. What percentage of ELLs at level 1 ELP have been in program for more than 5 years?

  9. ELLs by Years in Program as a Percentage of Total ELLs at Each Proficiency Level • Denominator - the percentage of ELLs at each level who have been in ELL programs for either • 3-5 years or • more than five years • In K-5, of all ELLs with Level 1 English proficiency, • 12% have been in ELL programs for 3 to 5 years • 2% have been in ELL program for more than 5 years • In Grade 9-12, of all ELLs with Level 3 English proficiency, • 78 percent have been in ELL programs for more than 5 years • 15 percent have been in ELL programs for 3-5 years

  10. Number of Grade 9-12 ELLs by Years in Program as a % of Total ELLs at Each Proficiency Level, SY2009-10

  11. What is the percentage distribution across ELP levels for ELLs in program for more than 5 years? • A total of 4,638 ELLs in Grades K-5 were in the district’s ELL program for 3-5 years, of which-- • 5 percent were at Level 1 • 46 percent were at Level 3English proficiency • A total of 682 ELLs in Grades K-5 were in ELL programs for more than 5 years, of which- • 54 percent were at Level 3 • 22 percent were at Level 2 of English proficiency

  12. A total of 570 ELLs in Grades 9-12 were in the program for 3-5 years, of which-- • 8 percent were at Level 1 34 percent were at Level 3 of English proficiency A total of 2,989 ELLs in Grade 9-12 were in program for more than 5 years, of which: • 51 percent were at level 4 • 33 percent were at Level 3 of English proficiency

  13. NAEP Achievement NAEP Reading and Mathematics results for National Public (NP) and Large City (LC) • Common assessment allows for comparisons across Council member districts • LC sample captures 82 percent of Council membership • Period analyzed—2005 to 2011 • Focus: percent of students performing at or above Proficient (NAEP reports on Basic, Proficient and Advanced)

  14. Sample Findings on NAEP Achievement gap widens due to rising scores for Non-ELLs and little progress for ELLs (both NP and LC) • In both Reading and Mathematics, non-ELLs see a steady rise in performance • ELL achievement lags that of Non-ELLs—about 20 percentage points • Gaps widen for both subjects in both Grade 4 and 8 NAEP Achievement for Formerly ELLs in Grade 4 show positive signs • In both Reading and Mathematics Formerly ELLs almost reach parity with Non-ELLs on Grade 4 NAEP • In Grade 8, Formerly ELLs do not keep up with Non-ELL progress on NAEP in both Reading and Math

  15. Instructional Staff • Total aggregate figures (Tables 10 page 26, and 12 page 27) • District by district figures (Tables 11 page 27, and 14 page 28) • Analysis focused on quantitative patterns • Interest in qualitative (state laws, requirements, negotiated agreements, etc.)?

  16. Troubleshooting & Options 1) Reconciling discrepancies of data among different sources— • Council’s ELL Survey—self-reported, NCES and district websites • Council’s Beating the Odds—NCES, district and state websites 2) ELL enrollment data—other displays, analyses 3) Grade level disaggregation • By grade level • By grade span • By school level (elementary, secondary) • As defined by state

  17. Troubleshooting & Options 4) Grade Level Disaggregation as determined in (2) for— • Achievement • Teacher assignments/qualifications • Other 5) Achievement Data Analysis • English Proficiency (State, WIDA, etc.) • State Assessments • Other nationally normed common assessments (SAT-10, Aprenda, etc.) • 6) OCR data—school experience • In-house analyses and comparisons

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