| Literature DB >> 26086660 |
Angela Eeds1, Chris Vanags1, Jonathan Creamer1, Mary Loveless1, Amanda Dixon1, Harvey Sperling1, Glenn McCombs1, Doug Robinson1, Virginia L Shepherd2.
Abstract
The School for Science and Math at Vanderbilt (SSMV) is an innovative partnership program between a Research I private university and a large urban public school system. The SSMV was started in 2007 and currently has 101 students enrolled in the program, with a total of 60 students who have completed the 4-yr sequential program. Students attend the SSMV for one full day per week during the school year and 3-6 wk in the summers following their ninth- to 11th-grade years, with each grade of 26 students coming to the Vanderbilt campus on a separate day. The research-based curriculum focuses on guiding students through the process of learning to develop questions and hypotheses, designing projects and performing analyses, and communicating results of these projects. The SSMV program has elevated the learning outcomes of students as evidenced by increased achievement scores relative to a comparison group of students; has provided a rigorous research-based science, technology, engineering, and mathematics elective curriculum that culminates in a Summer research internship; has produced 27 Intel and Siemens semifinalists and regional finalists over the past 4 yr; and has supported the development of writing and communication skills resulting in regional and national oral presentations and publications in scientific journals.Entities:
Mesh:
Year: 2014 PMID: 26086660 PMCID: PMC4041506 DOI: 10.1187/cbe.13-05-0103
Source DB: PubMed Journal: CBE Life Sci Educ ISSN: 1931-7913 Impact factor: 3.325
Summary of the primary features of the SSMV
| Feature | Description |
|---|---|
| Programmatic structure | • Part-time specialized STEM school hosted on a university campus |
| • Sequential 4-yr research-based curriculum for 26 students per grade (grades nine to 12) | |
| • Students leave their zoned high school and attend the SSMV for 1 d per week | |
| • Classes are held in a dedicated laboratory classroom, with field trips on and off campus | |
| • Funding shared by MNPS and Vanderbilt, with space provided by the university | |
| Admission requirements | • Student admission is based on seventh-grade achievement test scores, science and math grades, teacher recommendations, student essays, and in-person interviews |
| Instructors | • Four full-time PhD scientists |
| • More than 50 volunteer university faculty, fellows, and students participate per year | |
| • Graduate and undergraduate student tutoring support | |
| Courses | • Seven state-approved elective credits: Interdisciplinary Science I-IV; Research I-II; Advanced Research |
| Curriculum | • Ninth grade: introduction to STEM research through an multidisciplinary focus using varied instructional approaches, including lectures, demonstrations, field trips, and class-wide research projects |
| • 10th grade: student-driven small-group research projects, class-wide journal clubs, and reading and discussing scientific literature | |
| • 11th grade: immersion in a laboratory setting through university faculty–mentored individual research projects, small-group journal clubs and discussion forums | |
| • 12th grade: submission of research results to national science competitions and scientific journals, communication of research results to scientific and general audiences, and student-driven small-group community research projects |
Student demographic and admissions dataa
| Graduating class | Total number of applications | Number admitted/number graduated or enrolled | # H.S. | M:F | W | Black | His | Asian | F/RL |
|---|---|---|---|---|---|---|---|---|---|
| 2011 | 139 | 26/20 | 8 | 10:16 | 15 | 3 | 2 | 6 | 2 |
| 2012 | 131 | 27/21 | 5 | 12:15 | 11 | 5 | 3 | 8 | 6 |
| 2013 | 126 | 27/19 | 7 | 13:14 | 17 | 1 | 2 | 7 | 2 |
| 2014 | 125 | 30/24 | 4 | 11:19 | 13 | 5 | 3 | 9 | 3 |
| 2015 | 118 | 28/25 | 6 | 16:12 | 16 | 4 | 4 | 4 | 6 |
| 2016 | 121 | 27/26 | 7 | 16:11 | 12 | 6 | 3 | 6 | 6 |
| 2017 | 157 | 26/26 | 5 | 10:16 | 11 | 3 | 0 | 12 | 3 |
| Totals | 917 | 191/161 | 88:103 | 95 | 27 | 17 | 52 | 28 |
aTwenty-six students were selected each year from an average of 131 applications from eighth graders in all 38 MNPS middle schools. Student selection was based on achievement test scores, class grades, essays, teacher recommendations, and in-person interviews. Numbers in the table refer to the number of students admitted vs. the number of students who graduated or are currently enrolled (191 vs. 161), resulting in a retention rate of 84%. H.S. = high schools; W = white; His = Hispanic; F/RL = free/reduced-lunch program.
Figure 1.Schematic representation of the SSMV curriculum, grades nine to 12. The SSMV curriculum focuses on research projects and research outcomes during all 4 yr of the program. As students move through each grade, the projects involve changes in mentoring, number of students per project, and student-versus faculty-driven development of hypotheses. Research outcomes move progressively from group presentations to sophisticated posters and reports.
Seventh-grade achievement data for SSMV and comparison studentsa and demographic data for SSMV and comparison studentsb
| SSMV students, class of 2011 | Comparison students, class of 2011 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Max | Min | Mean | SD | Max | Min | Mean | SD | |||
| Seventh-grade science TCAP | 248 | 211 | 230 | 8 | 22 | 271 | 213 | 234 | 11 | 116 |
| Seventh-grade math TCAP | 730 | 553 | 630 | 52 | 23 | 730 | 553 | 623 | 38 | 117 |
| SSMV group numbers (%) | Comparison-group numbers (%) | |||||||||
| Gender | Male | 38 (41.3) | 253 (60.7) | |||||||
| Female | 54 (58.7) | 164 (39.3) | ||||||||
| Ethnicity | White | 45 (48.9) | 304 (72.9) | |||||||
| Black | 12 (13.0) | 47 (11.3) | ||||||||
| Hispanic | 10 (10.9) | 11 (2.6) | ||||||||
| Asian | 25 (27.2) | 53 (12.7) | ||||||||
| Other | 0 | 2 (0.5) | ||||||||
aA comparison group of students was selected by the research team for each SSMV graduating class in the first 4 yr of the program (2007–2011). There were a total of 92 SSMV students and 417 comparison students. The comparison group was selected based on seventh-grade math and science scores on the TCAP. Scores were not statistically different between the two groups. The data for the 2011 graduation class are shown as an example.
bThe gender and ethnic breakdown for the SSMV and comparison groups for the classes of 2011–2014, expressed as numbers of students and percent of the total.
Anonymous online survey analysis: measurement of ACT core conceptsa
| Class of 2011 ( | Class of 2012 ( | Class of 2013 ( | Class of 2014 ( | ||
|---|---|---|---|---|---|
| Graduating class | Core questions | Mean ratings: strongly disagree (1) to strongly agree (5) | |||
| Freshman | I am learning new concepts and skills in science | 4.69 ± 0.54 | 4.61 ± 0.67 | 4.72 ± 0.48 | 4.58 ± 0.67 |
| I am learning to apply science, mathematics, and/or technology in real-world settings | 4.39 ± 0.66 | 4.43 ± 0.81 | 4.27 ± 0.68 | 4.31 ± 0.92 | |
| The instructors clearly explained my responsibilities, challenges, and assignments | 4.44 ± 0.69 | 4.19 ± 0.78 | 4.17 ± 0.80 | 4.02 ± 0.92 | |
| I am able to keep up with my regular high school assignments | 4.10 ± 0.87 | 3.83 ± 0.74 | 4.23 ± 0.68 | 3.93 ± 0.85 | |
| Sophomore | This year's curriculum builds on what I learned last year at the SSMV | 4.45 ± 0.08 | 4.16 ± 0.62 | 4.24 ± 0.83 | 4.05 ± 0.78 |
| I feel confident in my ability to pose scientific questions | 4.37 ± 0.69 | 4.06 ± 0.65 | 4.36 ± 0.61 | 3.96 ± 0.71 | |
| I understand the main focus and goals of each class day | 4.55 ± 0.68 | 4.11 ± 0.82 | 4.53 ± 0.60 | 4.20 ± 0.80 | |
| I am able to keep up with my regular high school assignments | 4.07 ± 0.86 | 3.51 ± 0.84 | 4.10 ± 0.67 | 4.09 ± 0.51 | |
| Junior | The SSMV has taught me to approach problems like a scientist or mathematician | 4.52 ± 0.50 | 4.45 ± 0.53 | 4.63 ± 0.49 | 4.50 ± 0.71 |
| I feel confident in my ability to solve complex problems | 4.11 ± 0.58 | 4.05 ± 0.51 | 4/24 ± 0.58 | 4.17 ± 0.62 | |
| Brainstorming with other students in our collaborative group work has increased my problem-solving ability | 4.56 ± 0.56 | 4.16 ± 0.74 | 4.28 ± 0.61 | 4.00 ± 1.13 | |
| SSMV assignments enhance my critical-thinking skills | 4.34 ± 0.73 | 3.74 ± 0.85 | 4.43 ± 0.71 | 4.04 ± 0.89 | |
| Senior | I feel confident in my ability to formulate a research hypothesis from an interdisciplinary perspective | 4.41 ± 0.57 | 4.20 ± 0.41 | 4.60 ± 0.63 | |
| I feel confident in my ability to be a contributing member of a research laboratory | 4.54 ± 0.61 | 4.26 ± 0.61 | 4.52 ± 0.80 | ||
| I feel confident in my ability to explain my research to a scientific audience | 4.13 ± 0.75 | 4.09 ± 0.51 | 4.59 ± 0.67 | ||
| I feel confident in my ability to explain my research to the general public | 4.40 ± 0.57 | 4.14 ± 0.65 | 4.43 ± 0.74 | ||
| I feel confident in my ability to write scientific manuscripts that meet the guidelines for peer-reviewed publications | 4.09 ± 0.68 | 3.79 ± 0.59 | 4.07 ± 0.84 | ||
aA series of Likert-scale questions were developed based on the ACT core concepts (Supplemental Material). Students completed the survey anonymously online each year of participation at the beginning and end of each semester (four times per year). The analysis included the classes of 2011–2014 (the year refers to the year of graduation), with three complete surveys of freshman through senior years. Shown in the table are representative questions for each category. Values represent the mean ± SD.
Top three response items with largest mean gain on retrospective pretest and posttest by classa
| Class | Rank | Item | Mean gain true pre to true post | Mean gain pre retro to true post |
|---|---|---|---|---|
| Freshman | 1 | Communication: communicating with School for Science and Math scientists and staff | 1.50 | 4.32 |
| 2 | Use of technology: using technology such as data analysis software and Internet resources | 1.63 | 4.13 | |
| 3 | Scientific careers: understanding of how to pursue careers in science | 1.07 | 3.91 | |
| Sophomore | 1 | Use of technology: gathering and organizing data through the use of scientific tools and technology | 0.00 | 2.80 |
| 2 | Problem solving: identifying an alternate method for testing a hypothesis | 0.45 | 2.55 | |
| 3 | Communication: communicating with scientists using scientific vocabulary | 0.92 | 2.52 | |
| Junior | 1 | Use of technology: using software to create scientific models to make predictions | 0.78 | 2.84 |
| 2 | Communication: communicating a critical thesis that clearly establishes the focus of my position on an issue | 0.76 | 2.61 | |
| 3 | Science content: making use of primary research literature (e.g., journal articles) to understand current advances in a scientific field | 0.73 | 2.50 | |
| Senior | 1 | Problem solving: conducting community-engaged research to identify a local health or wellness problem | −0.05 | 2.55 |
| 2 | Communication: communicating research findings to a scientific audience that meet professional standards for written or oral communication | 0.70 | 2.45 | |
| 3 | Analysis of data: critically analyzing the quality of data generated in my own research | 0.50 | 2.17 |
aA 10-item pre/post survey was administered to students at the beginning and end of each school year based on the ACT college readiness standards for grades nine to 11 and interest in STEM careers (included in the Supplemental Material). Each question was ranked by students on a 10-point scale from “I know little to nothing” (1) to “I have developing skills” (5) to “I am an expert” (10). The survey given at the end of the year also asked students to retroactively rank their knowledge at the beginning of the program. The difference or mean gain between the true pretest and true posttest, and the mean gain between the retrospective pretest and true posttest are shown in the table.
Analysis of rising senior Summer research laboratory surveys and SSMV mentor surveysa
| Class of 2011 | Class of 2012 | |||||||
|---|---|---|---|---|---|---|---|---|
| Student self-rating | Mentor rating | Student self-rating | Mentor rating | |||||
| Mean ± SD | Mean ± SD | Mean ± SD | Mean ± SD | |||||
| Reformulate an original research hypothesis (as appropriate) | 4.07 ± 0.46 | 15 | 4.43 ± 0.79 | 7 | 4.17 ± 0.71 | 19 | 3.64 ± 1.34 | 14 |
| Interpret data by relating results to the original hypothesis | 4.27 ± 0.59 | 15 | 4.40 ± 0.70 | 10 | 4.11 ± 0.68 | 19 | 3.77 ± 1.09 | 14 |
| Understand the importance of “controls” in research | 4.50 ± 0.76 | 14 | 4.36 ± 0.81 | 11 | 4.68 ± 0.48 | 19 | 4.23 ± 0.93 | 14 |
| Orally communicate the results of research projects | 4.00 ± 0.85 | 15 | 4.27 ± 1.01 | 12 | 4.00 ± 0.71 | 19 | 4.14 ± 1.23 | 14 |
| Relate results to the “bigger picture” in your field | 4.33 ± 0.72 | 15 | 4.18 ± 0.98 | 11 | 4.42 ± 0.69 | 19 | 3.79 ± 1.19 | 14 |
| Think independently | 4.43 ± 0.51 | 14 | 4.08 ± 1.00 | 12 | 4.05 ± 0.71 | 19 | 3.57 ± 1.28 | 14 |
| Identify a specific question for investigation based on the research in your field | 4.13 ± 0.64 | 15 | 3.91 ± 1.04 | 11 | 3.95 ± 0.78 | 19 | 3.43 ± 1.40 | 14 |
| Make use of primary scientific research literature (e.g. journal articles) | 4.47 ± 0.52 | 15 | 3.83 ± 0.83 | 12 | 4.16 ± 0.90 | 19 | 3.64 ± 1.01 | 14 |
| Formulate a research hypothesis based on a specific question | 4.20 ± 0.56 | 15 | 3.64 ± 1.03 | 11 | 4.00 ± 0.58 | 19 | 3.50 ± 1.22 | 14 |
| Design an experiment or theoretical test of the hypothesis | 4.07 ± 0.46 | 15 | 3.60 ± 0.97 | 10 | 3.74 ± 0.56 | 19 | 3.57 ± 1.40 | 14 |
aSummer 2010 and 2011 Likert-scale surveys were administered to SSMV students and their research mentors following the junior-year Summer research internship. Results from students in the graduating classes of 2011 and 2012 are shown.
SSMV and comparison student performance analysisa
| SSMV | Comparison | ||||
|---|---|---|---|---|---|
| Measure | Score ± SE | Score ± SE | |||
| GPA | 96.87 ± 0.51 | 86 | 93.87 ± 0.26 | 293 | 0.001** |
| Biology EOC | 630.83 ± 5.56 | 39 | 611.73 ± 2.47 | 196 | 0.002** |
| PLAN Math | 27.01 ± 0.55 | 64 | 25.53 ± 0.25 | 268 | 0.016** |
| PLAN Science | 25.45 ± 0.54 | 64 | 23.84 ± 0.25 | 266 | 0.007** |
| ACT Math | 28.03 ± 1.02 | 14 | 26.69 ± 0.46 | 69 | 0.235 |
| ACT Science | 28.77 ± 1.09 | 14 | 25.77 ± 0.5 | 69 | 0.015** |
| AP biology | 4.10 ± 0.28 | 16 | 3.48 ± 0.19 | 34 | 0.073* |
| AP chemistry | 4.38 ± 0.34 | 14 | 3.60 ± 0.24 | 28 | 0.070* |
*Marginally significant: p = < 0.10.
**Significant: p ≤ 0.05.
aA quasi-experimental approach was used to examine the academic achievement of SSMV students compared with a group of students who did not attend the SSMV. The comparison group (∼100 students for each SSMV class) was selected on the basis of matching seventh-grade science and math scores on the end-of-year TCAP tests. Differences in scores were examined using SPSS 16.0 software and GLM UNIANOVA statistical analyses.
Figure 2.Achievement scores for SSMV and comparison students analyzed by ethnicity. A comparison group of students was selected by the research team for each SSMV graduating class in the first 4 yr of the program (2007–2011). The comparison group was selected based on seventh-grade math and science scores on the TCAP. There were a total of 92 SSMV students and 417 comparison students, with 13% black SSMV students, and 11% black students in the comparison group. A comparison of GPAs and biology EOC and PLAN science scores for all students, white students, and black students in shown in the figure. In each case, the SSMV student scores were significantly higher (p < 0.05) than the comparison student groups.
Student awards and recognitionsa
| Competition | Class of: | Number of students submitting | Number of student winners |
|---|---|---|---|
| Siemens | 2011 | 17 | 4 semifinalists |
| 2012 | 18 | 2 regional finalists (1 project); 2 semifinalists | |
| 2013 | 16 | 4 semifinalists | |
| Intel | 2011 | 20 | 2 semifinalists |
| 2012 | 19 | 3 semifinalists | |
| 2013 | 19 | 7 semifinalists | |
| TJAS | 2011 | 16 (6 projects) | Second place: 11 students (4 projects); honorable mention: 5 students (2 projects) |
| 2012 | 16 (5 projects) | Second place: 11 students (3 projects); honorable mention: 5 students (2 projects) | |
| 2013 | 15 (5 projects) | Second place: 10 students (3 projects) | |
| 2014 | 22 (6 projects) | First place: 4 students (1 project); second place: 10 students (3 projects) |
aSSMV students were required and/or encouraged to compete in local, state, regional, and national science competitions. Results of awards won by students since 2007 in the three required competitions—the Siemens Competition in Math, Science and Technology (Siemens); the Intel Science Talent Search (Intel); and the Tennessee Junior Academy of Science (TJAS)—are shown. Student research projects for both Siemens and Intel were conducted over the course of junior-year second semester through senior-year first semester and were submitted for the competitions in the Winter of the senior year. Projects for the TJAS competition were completed as sophomores and submitted in the Fall of the junior year.
Figure 3.Comparison of the number of SSMV semifinalists and regional finalists in the national Siemens and Intel science competitions to other top U.S. high schools. SSMV seniors are required to submit results of their junior/senior-year research projects to the annual Siemens Competition in Math, Science and Technology and the Intel Science Talent Search. Over the past 3 yr, the SSMV has had a total of 24 semifinalists and regional finalists in both contests, placing this program 11th among all high schools submitting to these competitions. TAMS: Texas Academy of Math and Science; NCSSM: North Carolina School of Science and Math; IMSA: Illinois Math and Science Academy. (Note: SSMV student winners in the Intel contest are listed by their zoned school, not the SSMV.)