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African-American Students in Santa Clara County

African-American Students in Santa Clara County. Presenter: David Kennedy, Coordinator Regional Systems for District and School Support. Introduction. David Kennedy 28 years in education Teacher Counselor Asst. Principal Principal Educational Consultant Regional Coordinator.

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African-American Students in Santa Clara County

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  1. African-American Students in Santa Clara County Presenter: David Kennedy, Coordinator Regional Systems for District and School Support

  2. Introduction David Kennedy • 28 years in education • Teacher • Counselor • Asst. Principal • Principal • Educational Consultant • Regional Coordinator

  3. Objectives • Develop a deeper understanding of the academic achievements of African-American students • Review key statistical data from Santa Clara County districts and schools • Compare African-American students’ academic achievements to other ethnic student groups • Identify trends in graduation, dropout, suspension and expulsion rates • Discuss implications of the data

  4. Sources of Data… • California Department of Education • California Assessment of Student Performance and Progress (CAASPP) System • http://www.cde.ca.gov/ta/tg/ca/ • CAASPP Results • http://caaspp.cde.ca.gov/sb2016/default • Smarter Balance • English Language Arts Assessment • Math Assessment • CST Science • Social Science Assessment coming soon!

  5. Sources of Data • California Department of Education • DataQuest • http://data1.cde.ca.gov/dataquest/ • Graduation • Enrollment • Expulsions & Suspensions • Santa Clara County Office of Education • 2009 County Report Card • Ed-Data • DataUSA

  6. Demographics

  7. Demographics of Santa Clara County https://datausa.io/profile/geo/santa-clara-county-ca/#demographics 2013-2014 647,313 34.2% 627,332 33.1% 503,062 26.6% 59,199 3.1% 45,916 2.4% 6,095 0.3% 3,417 0.2% 2,271 0.1% Asian White Hispanic 2+ Black Hawaiian Other Native

  8. Demographics of African-American Students 2013-2014 Ed-Data.org

  9. Student Academic Data English Language Arts

  10. Student Academic Data: English Language Arts English Language Arts Area Assessments • READING • How well do students understand stories and information that they read? • WRITING • How well do students communicate in writing? • LISTENING • How well do students understand spoken information? • RESEARCH/INQUIRY • How well can students find and present information about a topic?

  11. Data Reporting Levels • Scale Scores • Scale scores are used to equate the assessment from year to year. They are used to adjust for any differences in the difficulty levels of the tests that result from this question replacement. • Mean Scores • The sum of scale scores for students with valid scores divided by the Number of Tests with Scores • % Above, Near, or Below Standard • Standards: % Exceeded, Met, Nearly Met, or Not Met

  12. Student Academic Data: English Language Arts 2015 ELA Overall Mean Scale +8 -89.4 -97.4 3rd 4th 5th 6th 7th 8th 11th

  13. Student Academic Data: English Language Arts 2016 ELA Overall Mean Scale -110.9 +26.7 -84.2 3rd 4th 5th 6th 7th 8th 11th

  14. Student Academic Data: English Language Arts • Reading • The student demonstrates a thorough ability to read closely and analytically to understand a range of literacy texts (e.g. stories, plays, and poems) and informational texts (e.g. articles and other writing covering disciplines like science and social studies) of high complexity.

  15. Student Academic Data: English Language Arts 2015 Overall Reading

  16. Student Academic Data: English Language Arts 2016 Overall Reading

  17. Student Academic Data: English Language Arts • Writing • The student demonstrates a thorough ability to produce compelling, well-supported writing for a diverse range of well-organized, developed, and supported writing (e.g. narrative, informational, explanatory, and opinion) for different purposes and audiences.

  18. Student Academic Data: English Language Arts 2015 Overall Writing

  19. Student Academic Data: English Language Arts 2016 Overall Writing

  20. Student Academic Data: English Language Arts • Research/Inquiry • The student demonstrates a thorough ability to use research and inquiry methods as a way to engage with a topic and then to investigate topics, and to analyze, integrate, and present information in a persuasive and sustained exploration of a topic.

  21. Student Academic Data: English Language Arts • Highest percentage of African-American students scoring in the Above Standard range of any ELA assessment 23% • 34 percentage point difference between African-American and Asian students in Above Standard range Research/Inquiry

  22. Student Academic Data: English Language Arts • Listening • The student demonstrates a thorough ability to deliver information orally for a variety of uses, effective listening skills for a range of purposes and audiences, and to critically interpret and use information delivered orally.

  23. Student Academic Data: English Language Arts • African-American students had 22% and 19% fewer students score Above Standards than their Asian and White classmates • The fewest percentage of African-American students at Above Standard than any other area. 14% Listening

  24. Student Academic Data: Mathematics

  25. Student Academic Data: Mathematics Mathematics Area Assessments • CONCEPTS & PROCEDURES • How well do students use mathematical rules and ideas? • PROBLEM SOLVING: MODELING & DATA ANALYSIS • How well can students show and apply their problem solving skills? • COMMUNICATING REASONING • How well can students think logically and express their thoughts in order to solve a problem?

  26. Student Academic Data: Mathematics +8 2015 Math Mean Scale -97.4 -89.4

  27. Student Academic Data: Mathematics +83.6 2016 Math Mean Scale -180.9 -97.3

  28. Student Academic Data: Mathematics • CONCEPTS & PROCEDURES • The Concepts and Procedures claim (i.e., area) assesses the student’s understanding of key mathematical concepts and procedures and the student’s ability to apply these concepts and procedures to solve problems.

  29. Student Academic Data: Mathematics 2015 Concepts & Procedures

  30. Student Academic Data: Mathematics 2016 Concepts & Procedures

  31. Student Academic Data: Mathematics • PROBLEM SOLVING: MODELING & DATA ANALYSIS • The Problem Solving and Modeling/Data Analysis claim (i.e., area) assesses the student’s ability to use appropriate tools and strategies to solve real-world and mathematical problems.

  32. Student Academic Data: Mathematics Showed virtually no statistical movement on assessments from 2015 to 2016 PROBLEM SOLVING & MODELING/DATA ANALYSIS • The 2% increase from 2015 to 2016 in African-American students scoring in the Above Standard category is the smallest increase by any ethnic group

  33. Student Academic Data: Mathematics • COMMUNICATING REASONING • The student demonstrates the thorough ability to clearly and precisely put together valid arguments to support his or her own mathematical thinking and to critique the reasoning of others.

  34. Student Academic Data: Mathematics Over 50% of African-American students scoring in Near Standard category - highest amount of any math area assessments COMMUNICATING REASONING • 2016: 33% Below Standard – lowest amount of any of math area assessments

  35. Student Academic Data: Science

  36. Student Academic Data: CST Science 8th Grade 2015 CST Science

  37. Student Academic Data: CAHSEE California High School Exit Exam

  38. Student Academic Data: A-G Requirements Percentage of High School Graduates Meeting UC/CSU Course Requirements

  39. Student Academic Data: Graduation Rate 2012-2015 Graduation Rates

  40. Student Academic Data: Dropout Rate 2012-2015 Dropout Rate

  41. Behavioral Data: Suspensions 2012-2015 Suspension: Percentage of Total Enrollment

  42. Behavioral Data: Expulsions 2012-2015 Expulsion: Percentage of Total Enrollment

  43. College Readiness 2009 Santa Clara County High School Graduates: National College Attendance

  44. College Degrees in Santa Clara County https://datausa.io/profile/geo/santa-clara-county-ca/#demographics 2013-2014 8,468 5,973 5,846 1,449 1,099 880 202 92 White Asian Hispanic Unknw 2+ Black Hawaiian Native

  45. California County Classrooms Ethnic distribution of public school teachers: 2014–15 *Some totals in the Public School Teachers table may not match due to difference in reporting strategy. SCC: 12,300 Full Time Teachers

  46. Implications of Data • The educational institutions of Santa Clara County have been unsuccessful in creating an educational environment that promotes and increases the learning of African-American students

  47. Conclusion • The effects of this “under-education” of African-American youth is that it creates a series of lifelong disadvantages in allthe institutions of American society

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