1 / 45

Females and Minorities in Science, Technology, Engineering, and Mathematics (STEM)

Females and Minorities in Science, Technology, Engineering, and Mathematics (STEM). November 13, 2007 Faye R. Jones W. Joshua Rew. Objective of Presentation. Problem Promising Solutions Research Recommendations. Questions.

gella
Download Presentation

Females and Minorities in Science, Technology, Engineering, and Mathematics (STEM)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Females and Minorities in Science, Technology, Engineering, and Mathematics (STEM) November 13, 2007 Faye R. Jones W. Joshua Rew

  2. Objective of Presentation • Problem • Promising Solutions • Research Recommendations

  3. Questions • Which of the solutions and recommendations hold the most promise for Florida’s females and minorities? • Are there any that you would recommend that are not included in the literature review?

  4. Problem

  5. Problem • STEM Achievement and Attainment • Females • Minorities • Sources • Florida Department of Education • State University System of Florida • The College Board

  6. STEM Achievement and Attainment Indicators • FCAT-SSS • AP Exam • SAT • ACT • Completion of STEM Degrees

  7. CAUTION! • Descriptive Data • Statistical Significance • Effect Size

  8. Florida’s K-12 Public Schools

  9. Demographics • Minorities represent over 50% of students in Florida’s K-12 public schools in 2006. • Blacks: 23.15% • Hispanics: 24.24% • Whites: 46.71%

  10. K-12 Science Achievement • Females have a higher percentage of students at level 1 on FCAT-SSS Science in 2007. • Females have a lower percentage of students at levels 3 through 5 on FCAT-SSS Science in 2007.

  11. K-12 Science Achievement • Blacks and Hispanics have a higher percentage of students at level 1 on FCAT-SSS Science in 2007. • Blacks and Hispanics have a lower percentage of students at levels 3 through 5 on FCAT-SSS Science in 2007.

  12. K-12 Math Achievement • Males have a higher percentage of students at level 1 on FCAT-SSS Math in 2007. • Females have a lower percentage of students at levels 3 through 5 on FCAT-SSS Math in 2007.

  13. K-12 Math Achievement • Blacks and Hispanics have a higher percentage of students at level 1 on FCAT-SSS Math in 2007. • Blacks and Hispanics have a lower percentage of students at levels 3 through 5 on FCAT-SSS Math in 2007.

  14. AP Exams by Gender

  15. AP Exams by Race/Ethnicity

  16. College Entrance Exam - SAT Comparison of Florida SAT math scores by gender.

  17. College Entrance Exam - ACT Comparison of Florida ACT Math and Science Scores by Gender, 1992-2006.

  18. College Entrance Exam - ACT Comparison of Florida ACT math scores by race/ethnicity.

  19. Community Colleges

  20. AA/AS Degree Enrollment Associate Arts (AA) and Associate Science (AS) enrollment by race/ethnicity and gender.

  21. AA/AS Degree Completion Associate Arts (AA) and Associate Science (AS) completion by race/ethnicity and gender.

  22. Completion of STEM Degrees by Gender

  23. Physical Sciences Number of in-state physical sciences degrees by gender, 2000-2001 to 2005-2006. Percentage of in-state physical sciences degrees by gender, 2005-2006.

  24. Life Sciences Number of in-state life sciences degrees by gender, 2000-2001 to 2005-2006. Percentage of in-state life sciences degrees by gender, 2005-2006.

  25. Information Technology Percentage of in-state information technology degrees by gender, 2005-2006. Number of in-state information technology degrees by gender, 2000-2001 to 2005-2006.

  26. Engineering Number of in-state engineering degrees by gender, 2000-2001 to 2005-2006. Percentage of in-state engineering degrees by gender, 2005-2006.

  27. Engineering Technology Number of in-state engineering technology degrees by gender, 2000-2001 to 2005-2006. Percentage of in-state engineering technology degrees by gender, 2005-2006.

  28. Mathematics Number of in-state mathematics degrees by gender, 2000-2001 to 2005-2006. Percentage of in-state mathematics degrees by gender, 2005-2006.

  29. Completion of STEM Degrees by Race/Ethnicity

  30. Physical Sciences Number of in-state physical sciences degrees by race/ethnicity, 2000-2001 to 2005-2006. Percentage of in-state physical sciences degrees by race and ethnicity, 2005-2006.

  31. Life Sciences Number of in-state life sciences degrees by race/ethnicity, 2000-2001 to 2005-2006. Percentage of in-state life sciences degrees by race/ethnicity, 2005-2006.

  32. Information Technology Number of in-state information technology degrees by race/ethnicity, 2000-2001 to 2005-2006. Percentage of in-state information technology degrees by race/ethnicity, 2005-2006.

  33. Engineering Number of in-state engineering degrees by race/ethnicity, 2000-2001 to 2005-2006. Percentage of in-state engineering degrees by race/ethnicity, 2005-2006.

  34. Mathematics Number of in-state mathematics degrees by race/ethnicity, 2000-2001 to 2005-2006. Percentage of in-state mathematics degrees by race/ethnicity, 2005-2006.

  35. Promising Solutions

  36. Promising Solutions • Literature Review • Databases • Volumes and Issues of Journals • Reference Lists • Variables • Individual Attributes • School Features • Societal Variables

  37. STEM Participation, Achievement, Persistence, and Choice • What do we know? • Prior Achievement • Socio-economic Status • High Quality Teachers • School Resources

  38. Promising Solutions: Individual Attributes • Attitude • Commitment • Interest • Perceived Utility • Self-concept of Ability • Perceived Encouragement • Perceived Stereotype

  39. Promising Solutions: School Features (Part 1) • Rigorous academic and college preparatory mathematics and science courses • Student self-concept modification • Teacher commitment, accessibility, willingness to tutor, and high expectations

  40. Promising Solutions: School Features (Part 2) • Prescriptive and informational feedback to students • Exposure to successful female and minority role models • Innovative and reform-based instructional practices

  41. Promising Solutions: School Features (Part 3) • Guidance counseling and mentoring • Equitable and need-based financial aid • Remediation, pre-college, and college outreach and anti-remediation programs

  42. Promising Solutions: Societal Variables • Parental Involvement & Expectations • Discussions with children about math and science interests • High Expectations and a positive relationship with children • Encouragement to take STEM courses • Placing greater emphasis on the value of math and science

  43. Research Recommendations

  44. Research Recommendations • Greater emphasis on race/ethnicity • Use Florida’s data • Experiments • Clearinghouse

  45. Questions

More Related