TEA News Releases Online
Dec. 2, 2010
New AEIS reports released
AUSTIN - The 2009-10 AEIS reports are now available at http://ritter.tea.state.tx.us/perfreport/aeis/2010/index.html.
The Academic Excellence Indicator System (AEIS) pulls together a wide range of information on the performance of students in each school and district in Texas annually. This information is put into the annual AEIS reports, which are available each year in the fall. The performance indicators are:
- Results of Texas Assessment of Knowledge and Skills (TAKS); by grade, by subject, and by all grades tested;
- Participation in the statewide assessment programs (TAKS/TAKS (Accommodated)/TAKS-M/TAKS-Alt);
- Exit-level TAKS cumulative passing rates;
- Progress of prior year TAKS failers;
- Results of Student Success Initiative;
- Attendance rates;
- Annual dropout rates (grades 7-8, grades 7-12, and grades 9-12);
- Completion rates (4-year longitudinal and 5-year longitudinal);
- College readiness indicators, which include;
- Advanced / dual enrollment course completion;
- Completion of the Recommended High School Program or Distinguished Achievement Program;
- Participation and performance on Advanced Placement (AP) and International Baccalaureate (IB) examinations;
- College-ready graduates;
- Texas Success Initiative (TSI) – Higher Education Readiness Component; and
- Participation and performance on the college admissions tests (SAT and ACT).
Performance on each of these indicators is shown disaggregated by ethnicity, gender, special education, low income status, and limited English proficient status. The performance of at-risk students is also shown on the district, region, and state AEIS reports. In addition to the performance indicators, the reports provide extensive information on school and district staff, finances, programs, and student demographics. A new section was added to the district, region, and state reports beginning in 2008-09 that shows performance for selected AEIS indicators disaggregated by bilingual and ESL instructional models.