33
Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Embed Size (px)

Citation preview

Page 1: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Before Proposing to Change the Equation, We should Know All the

Variables

Adam V. Maltese

March 14, 2012

Page 2: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Outline

• Introduction

• Degree production in US

• Analysis of longitudinal data

• Student interest data

• Graphical literacy

• Participation in U-grad Research Experiences

• Summary

Page 3: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Introduction• Focus of recent National policy initiatives

(e.g., Educate to Innovate):– Increasing performance in STEM– Increasing size of STEM workforce

• Ratio of STEM degrees to Total degrees in decline over last 40 yrs

•Bureau of Labor predicts by 2018 there will be 2 Million job openings in STEM fields as result of baby-boomer retirement & new jobs

Page 4: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Bachelor’s Degrees (1966-2006)

0

250,000

500,000

750,000

1,000,000

1,250,000

1,500,000

1966

1970

1974

1978

1982

1986

1990

1994

1998

2003

Total Degrees

Total STEM

STEM (No CS)

Vietnam War

End of Cold War

Human Genome mapped

Dot Com"bubble"

bursts

(Source: NSF, 2008)

Deg

rees

Aw

arde

d

Page 5: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Changes in degrees over time

You can access these visualizations to create your own here.

Page 6: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Changes in degrees over time[BS in Biology 1966-2010]

Page 7: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Changes in degrees over time[Chemistry1966-2010]

Page 8: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Changes in degrees over time[Bio/Math/CompSci/Engnr: 1966-2010]

Page 9: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Changes in degrees over time

1966

2010

Biology Math/Stats Computer Science Engineering

Page 10: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Analysis of Longitudinal Data

Page 11: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Previous Findings (based on NELS data)

• Indicators of “interest” in STEM (e.g., Career aspirations, Science will be useful in my future, Planned major) positively associated with STEM degree

• High School Experiences:• Emphasis on learning facts/rules (-)• Emphasis on understanding through use of hands-

on materials in math (+)• Emphasis on further study in science (+)• Frequent use of books to do experiments (-)• Frequent use of computers in math (-)• Frequent teacher lectures in science (-)

Page 12: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Percentage of Students Enrolled in High School

Mathematics Classes by Major Classification (n=4,700)

Non-STEM STEM

Grade 9Algebra 65.53 65.26

Geometry 14.23 27.59Trig/Algebra II <1 1.12

PreCalculus <1 <1Calculus <1 <1

Grade 10Algebra 39.24 40.12

Geometry 50.42 48.43Trig/Algebra II 3.00 7.01

PreCalculus <1 <1Calculus <1 1.05

Grade 11Algebra 44.34 39.21

Geometry 20.85 12.88Trig/Algebra II 14.61 23.97

PreCalculus 11.44 24.18Calculus 1.63 4.52

Grade 12Algebra 17.39 10.18

Geometry 6.75 4.10Trig/Algebra II 13.12 17.21

PreCalculus 16.70 17.96Calculus 14.05 35.13

Note. Proportions do not add to 100 due to students enrolled in multple

classes. All proportions are significantly different (p<.05), unless italicized.

Page 13: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Percentage of Students Enrolled in High School ScienceClasses by Major Classification (n=4,690)

Non-STEM STEM

Grade 9Biology 29.33 34.93

Chemistry <1 <1Physics <1 <1

Earth Science 13.82 11.11

Grade 10Biology 66.20 60.12

Chemistry 18.73 27.89Physics 1.52 2.31

Earth Science 2.07 1.49

Grade 11Biology 8.22 13.69

Chemistry 55.10 62.17Physics 11.18 17.56

Earth Science 1.91 <1

Grade 12Biology 9.11 13.86

Chemistry 10.87 19.80Physics 25.61 45.10

Earth Science 2.08 <1Note. Proportions do not add to 100 due to students enrolled in multple

classes. All proportions are significantly different (p<.05), unless italicized.

Page 14: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Samples

• NELS = 4,700 with HS transcripts, completed 20+ college classes & 4-yr Inst.

• ELS = 6,040 with HS transcripts and indication of declared major

• HSTS = 37,500 with HS transcripts collected

Page 15: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Most Common HS PathwaysNELS ELS HSTS

Rank (1988-1992) (2000-2004) (2005-2009)1 PS-B-C-No PS-B-C-No PS-B-C-No

2 PS-B-C-P PS-B-C-P PS-B-C-B

3 PS-B-C-B B-C-P-No B-C-P-No

4 PS-B-No-No PS-B-C-B PS-B-C-P

5 ES-B-C-P B-C-P-B B-C-P-B

6 No-B-C-P B-C-B-P ES-B-C-No

7 B-C-P-No ES-B-C-P PS-B-B-No

8 ES-B-C-No PS-B-C-M B-PS-C-No

9 PS-B-C-M No-B-C-P B-C-B-No

10 No-B-C-No ES-B-C-No PS-B-C-M

Page 16: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

18%

Page 17: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

ELS NELSPct of STEM Majors Pct of STEM Degrees

B-C-M-M B-C-M-P

PS-B-PS-B PS-B-M-M

B-PS-C-M PS-B-M-P

B-C-B-M B-C-P-M

PS-B-M-B B-C-C-P

PS-B-M-M B-C-B-M

B-C-C-M PS-B-M-B

B-M-B-No No-B-C-M

No-No-No-No B-No-C-P

B-C-M-P B-C-M-No

B-C-M-B PS-B-C-M

~1%

~3%

Page 18: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Analysis of “Switchers”

• 60% of ss who indicated interest in STEM career in 8th grade ended up with major outside of STEM fields

• 20% of ss who indicated interest in Non-STEM career ended up with STEM degree– This group accounted for roughly 80% of total

number of STEM degrees

• What caused these students to switch??

Page 19: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012
Page 20: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

MS student interest in science

(Maltese & Tai, 2011)

Page 21: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012
Page 22: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

0

5

10

15

20

25

30

35

6.25 6.75 7.25 7.75 8.25 8.75

% in

Sci

ence

or M

edic

ine

Interest in STEM jobs

Black

Hispanic

Multi

White

0

5

10

15

20

25

30

35

40

6.25 6.75 7.25 7.75 8.25 8.75

% in

Scie

nce

or M

edici

ne

Grade Timing

Interest in STEM jobs

Female

Male

Student interest in STEM jobs

Women Medicine

Men Science

Page 23: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Impact of standardized testing(Maltese & Hochbein, 2012)

• Used three cohorts of HS students in IN who participated in state testing and completed the ACT exams (N~ 4500/yr)

• Tied ACT performance to school performance on state tests in English/Math during each student’s Freshman-Junior year

• HLM results showed no positive association between school status and student scores

Page 24: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Graphical literacy

(Harsh & Maltese, 2012)

Page 25: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Study Methods• Streams of data collected to investigate how

students and scientists interpret and construct graphs

Stream 1: Graph Interpretation• Web-based survey in which participants were asked to read and

analyze graphical representations of data

Stream 2: Assessment of cognitive processes • Eye movement measurements/tracking and think aloud recordings

Stream 3: Graph Construction• Transformation of provided data into graphical representations

Page 26: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012
Page 27: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012
Page 28: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Impact of REUs/UREs

(Harsh, Maltese & Tai, 2011)(Harsh, Maltese & Tai, Forthcoming)

Page 29: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

What are the indicated benefits of

participation in UREs?

Total Population

(n=3014)

Item %

 

Exposure to genuine scientific research 49

Built confidence to conduct research 16

Development of basic lab techniques 15

Maintained interest in science 5

Influenced my decision to explore other areas 4

Application of principles learned in class 4

Exposure to graduate students 4

Exposure to research group/meetings discussions 2

Development of presentation skills 1

Exposure to literature 1

Page 30: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Gender Differences in Chemistry and Physics UREs

• Male and female participation rates have made equivocal percentage-wise gains since the 1940s – During this period, women in chemistry and physics were more likely

to participate in these programs than their male counterparts.

• Similar benefits reported across genders– Female participants were more likely to select gains associated with self-

efficacy and maintenance of interest.

• Female participants reported that URE participation often played a formative role in the pursuit of advanced chemistry and physics degrees at a significantly higher rate than male participants.

Page 31: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

• Multi-site assessment of URE program variables that influence short- and long-term outcomes for students

• Observational studies on the activities and practices of URE participants in the research setting

• Design and implementation of a performance based measure as a means to assess the development of students’ skills through URE participation

Planned URE Research

Page 32: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012

Synthesis• Flat growth in STEM degrees (some decline)• Engaging students early appears to be important,

seems that many students lose interest in science during early teen years

• Focus on standardized testing may not be strengthening skills of college bound students

• College students lack graphical literacy skills expected by science faculty

• UREs seem to have positive impact, but definition of gains unclear

Page 33: Before Proposing to Change the Equation, We should Know All the Variables Adam V. Maltese March 14, 2012