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

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Title: Before Proposing to Change the Equation, We should Know All the Variables


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

2
Outline
  • Introduction
  • Degree production in US
  • Analysis of longitudinal data
  • Student interest data
  • Graphical literacy
  • Participation in U-grad Research Experiences
  • Summary

3
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

4
Bachelors Degrees (1966-2006)
Degrees Awarded
(Source NSF, 2008)
5
Changes in degrees over time
You can access these visualizations to create
your own here.
6
Changes in degrees over timeBS in Biology
1966-2010
7
Changes in degrees over timeChemistry1966-2010
8
Changes in degrees over timeBio/Math/CompSci/Eng
nr 1966-2010
9
Changes in degrees over time
Biology Math/Stats
Computer Science Engineering
1966
2010
10
Analysis of Longitudinal Data
11
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 (-)

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14
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

15
Most Common HS Pathways
16
18
17
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3
18
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??

19
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20
MS student interest in science(Maltese Tai,
2011)
21
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22
Student interest in STEM jobs
Women ? Medicine Men ? Science
23
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 students
    Freshman-Junior year
  • HLM results showed no positive association
    between school status and student scores

24
Graphical literacy(Harsh Maltese, 2012)
25
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

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28
Impact of REUs/UREs(Harsh, Maltese Tai,
2011)(Harsh, Maltese Tai, Forthcoming)
29
  • What are the indicated benefits of
  • participation in UREs?

Total Population
(n3014)
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
30
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.

31
Planned URE Research
  • 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

32
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

33
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