Sentences with phrase «disaggregated by ethnicity»

Not exact matches

There were proposals to, among other things, hold schools accountable only for the progress of the lowest - performing students in the bottom quintile; not disaggregate data by race and ethnicity; require states to deal only with the lowest - performing schools; or ignore test results altogether as an accountability tool.

17.18 by 2020, enhance capacity building support to developing countries, including for LDCs and SIDS, to increase significantly the availability of high - quality, timely and reliable data disaggregated by income, gender, age, race, ethnicity, migratory status, disability, geographic location and other characteristics relevant in national contexts

• Disaggregated subgroups by race / ethnicity plus «combined underserved race / ethnicity» student group.

But when you disaggregate student outcome data by API ethnicity, a more complex picture emerges.

Test scores are disaggregated by race and ethnicity, but schools need only to raise their overall scores to avoid the intervention program.

The report cards must generally include information on students» academic performance disaggregated by race, ethnicity, and gender, as well as disability, migrant, and English proficiency status — and specifically for students from low - income families.

This study compared the percentage of current and former EL students who were in special education to the percentage of students who were never ELs in Washington state in 2012 — 13 with results disaggregated by gender, home language, race / ethnicity and EL categories.

Data analysis should include nuanced disaggregating of data by student race, ethnicity, English language proficiency, national origins, disability, gender, race by English language proficiency, race by national origins, race by disability, race by gender, etc..

Most recently, Josh helped draft and usher through laws that would provide experienced out - of - state teachers access to Minnesota teacher licenses, and require the state disaggregate student data by prominent ethnicities beyond inadequate federal requirements.

However, disaggregating assessment data by combinations of students» demographic characteristics (that is, race / ethnicity by gender or disability) and by the programs in which students are enrolled (that is, race / ethnicity by specific reading or mathematics programs) enables schools to examine the effectiveness of programs for specific groups of students.

Districts and schools are used to getting assessment data that are broadly disaggregated by gender or race / ethnicity.

Results are disaggregated by gender, ethnicity, and language proficiency status as well as for economically disadvantaged students, students with disabilities, and foster youth.

When we disaggregate the data by students» self - reported race and ethnicity, we see some slight differences.

They must also be able to disaggregate the data they use to determine interventions by race and ethnicity, disability status, English language learners, and income.

When disaggregated by race / ethnicity, the results were even more troubling: Only 16 % of African - American students, 21 % of Hispanic students, and 22 % of American Indian / Native Alaskan students either met or exceeded the standard set by the state.

To help the district examine identification trends for historically under - represented students the data must be disaggregated by grade, gender, ethnicity, language background, and economic status.

When appropriate, data are disaggregated by race / ethnicity and other student sub-populations, including low income students, foster youth, and homeless students.

The simple act of publishing annual test scores «disaggregated» by race, ethnicity, language and disability status has proved that discrimination remains deeply embedded in our public education system, and not just in dysfunctional urban schools.

To understand this achievement problem, the staff disaggregated the below - proficient 3rd grade scores (student learning) by gender and ethnicity (demographic).

The UN member states also say follow - up will be «rigorous and based on evidence, informed by country - led evaluations and data which is high - quality, accessible, timely, reliable and disaggregated by income, sex, age, race, ethnicity, migration status, disability and geographic location and other characteristics relevant in national contexts».