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Promoting interest in mathematics and science
Arthur Bakker
Freudenthal Institute
Universiteit Utrecht [email protected]
Overview
1.Importance of math and science
2.What is interest?
3.Interest in math and science
4.How to promote interest? Including results from a meta-analysis
STEM: science, technology, engineering and mathematics
2
1. Importance of math and science (STEM)
• citizenship, democracy (cryptography/security, genetic testing, genetic modification…)
• Worldwide shortage of STEM graduates
• Aim of Dutch Masterplan on STEM: from 25% in 2011 to 40% in 2020
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Students’ first encounters?
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Bob the Builder
Pat and Mat (a je to!)
Barbapapas (30+ languages)
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Barbabenno (one out of seven)
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Who could also become interested in STEM?
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Case study of a Barbabee-type student
Penelope: animal friend
- Knew a lot about pets
- Her activities were inquiry-based
- No connection to school science
- Disliked science at school despite mother’s attempts to make connections
Zimmerman (2012, Journal for Research in Science Teaching)
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Groups of students
• Low or average in STEM still important for
scientific literacy and citizenship
• High interest and sufficient ability help them
develop interest and ability to have opportunities at labor market
Provide all with realistic image of future study and work, and how STEM plays a role in society
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2. Interest
• Positive effects on: learning processes and results, attention, focus, memory, persistence, effort… good for everything!
• Important factor in educational choices (next to job opportunities)
• Best predictor of study success (Maltese & Tai, 2011)
Boredom and lack of challenge problematic for talented and interested students
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What is interest?
Family similarities with: motivation, curiosity, attitude, engagement, enjoyment
but:
• Directed on content (ideas, objects…)
• More sustainable than curiosity
• Less dualistic than attitude: interest stems from Latin “inter esse” (being in between)
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Definition interest
Interest … refers to the psychological state of engaging or the predisposition to reengage with particular classes of objects, events, or ideas over time
Hidi & Renninger (2006, Educational Psychologist)
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How is interest promoted?
Sometimes one key event is reported as igniting it
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But mostly
Interest development is a gradual process requiring regular food, attention and an encouraging environment
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Four-phase model (Hidi and Renninger)
1. Triggered situational interest: externally supported
2. Maintained situational interest: sustained through meaningful tasks and supporting environment
3. Emerging individual interest: self-generated, requiring external support
4. Well-developed individual interest: self-generated, perseverence
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3. Interest in STEM
• Sparks mostly already in primary school
• Decline in adolescence
Boys more interested in computer science, mathematics, physics, technology
Girls in biology, biochemistry
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Interest in math
8/25/2016 PPT FIsme 17
Frenzel
et al
(2010)
Frenzel et al.
“downward trend … plateaued in later years, with high variability in mean levels, but little variability in the shape of the growth trajectories”
N = 3193 German students
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4. How to promote interest in STEM?
1.Context; RME example
2.U-Talent: students’ interests
3.Review study
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4.1 Realistic Mathematics Education
- Context meaningful to students, but also link to authentic, real-world situations and conventional mathematics
- Dierdorp used professional practices but with younger students other types of context are generally used
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Authentic professional practices
Based education on situations in professional practices in which STEM knowledge is used
1. Sport physiology
2. Dike monitoring
3. Laboratory measurement instruments
“I see the use of what I learn”: 75%
Dierdorp (2013); Dierdorp, Ba et al. (2011, MTL)
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Authentic practice: Dike height monitoring
Measurements by helicopter
EXPENSIVE
Sampling task on dike monitoring: could we do with a smaller sample?
4.2 pre-university college
Pre-university colleges for STEM interested students
- Community: with similar peers (e.g., Higgs)
- Challenge: finally addressed at their own level
- Differentiation: tailor-made to their interests
Junior College Utrecht: highly valued, interest sustained, realistic image of STEM at university, higher study success than similar peers
(Disselhorst, 2014; Tromp et al., 2014)
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Pre-university students (1-6 scale)
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Interest Mean Standard Deviation
Mathematics 4.19 1.37
Physics 4.65 1.04
Computer Science
3.25 1.49
Chemistry 4.59 1.01
Biology 4.85 1.10
1 = not interested; 6 = very interested
Female vs male (N = 181)
Interest Mean Female Mean male
Mathematics 3.79 4.64
Physics 4.28 5.08
Computer Science 2.66 3.93
Chemistry 4.43 4.78
Biology 5.13 4.54
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Components in STEM interests
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Interest
Component
1 2
Mathematics .770 -.168
Physics .738 .256
Computer Science .730 -.028
Chemistry .292 .827
Biology -.424 .716
App inTin
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Smartphone application
(project with Sanne Akkerman)
Every two hours students fill in
what they found interest in the
last two hours
One week, four times per year
Four students have completed
a full year plus three interviews
Casper
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Music
SoccerGaming
Gitar
Technology
BiotechnologyCelbiology
Computers
Youth fire brigade
Autosport
Judo
FamilyParents
Rita (sister) and Chris (brother)
SecondarySchool ‘AV’ friends
MelvinOletta, Kylian, Lara,
Peter
Junior College friends
Oletta, Annette, Susan, Peter
Judo friendsCor, Jonathan, Koen,
Tom, Thomas
Colleagues post office
John en Mark
Alone
Casper’s interests
At school interested in computers, technology, biotechnology, cell biology
At home interested in CSI (crime scene investigation)
Chose computer science
Chose additional work with social component; continued sports at high level
Became interested in legal hacking
Considers Police academy program digital forensics: combination of interests master’s in
Cyber security
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Some conclusions pre-university studies
a) These JCU students have multiple interests and engage in many activities
b) STEM interest among many other interests (sports, music, social activities…)
c) They have ideals: contribute to a better world, have a decent family life, work with people
d) Many did not like laboratory work decided to
study something else at university
Important to understand interest in STEM in
students’ wider interest pattern and social lives
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4.3 Review studies
Emphasis on context, relevance, inquiry, summer camps, trips contributes to positive attitude but not better learning results
(Bennett et al., 2006; Potvin & Hasni, 2014)
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Meta-analysis: Promoting student interest in math and science
Savelsbergh, E. R., Prins, G. T., Rietbergen, C., Fechner, S., Vaessen, B. E., Draijer, J. M., & Bakker, A. (2016). Effects of Innovative Science and Mathematics Teaching on Student Attitudes and Achievement: A Meta-Analytic Study. Educational Research Review.
http://www.sciencedirect.com/science/article/pii/S1747938X16300306
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Research question of our meta-analysis
What are the effects of innovative educational approaches on student attitudes and achievement in science and mathematics?
Approaches (independent variable)
1.Inquiry-based learning (IBL),
2.Context-based education (CON),
3.ICT-based (ICT),
4.Collaborative learning (COLL)
5.Excursions (EXT)
6.other
Attitudes (dependent variable)
Relevance Self-
efficacy Interest
Attitudes towards MS
Personal Societal School Leisure Career
Normality
Method: meta-analyses
- Math or science, grades 1-12
- 1989-2014
- Experiment with controle group, pre-posttests of attitudes
- Validated attitude instruments
- All necessary information for meta-analysis (means, SD, etc)
Meta-analysis
Quantitative systematic review
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SCOPUS
n = 4320
Web of Science
n =3408
ERIC
N = 1037
PsycINFO
N = 685 Query
N = 6066
Deduplicate
Accept: n =
533
Reject: n = 5533 Step 1: Surface level
screening
Step 2: Design
check
Step 3: Quality of
intervention and
measurement
Pretest and
controlgroup:
n = 152
Comparison, no pretest n = 70
Pretest, no comparison n = 65
Design otherw. not usable n = 242
No full text n = 4
Accept:
n = 56
Reject: n = 96
65 experiments
Kappas fine
Attitudes toward M&S
d = 0.54 0.35
outliers removed
Hattie (2009): effect size OK if
- d >= 0.40 for achievement
- d >= 0.20 for affect
• (d: difference of means divided by
pooled SDs)
Teaching approach
- No significant differences between approaches
- Larger effects for younger than older students
Achievement does not suffer!
d = 1.07
0.78
Zooming in - Relevance: n = 4, p = .39,
d = 0.15
- Interest: n = 20, p = .0096, d = 0.23
- Self-efficacy: n = 14, p > .05, d = 0.12
- Normality: n = 4, p = .51,
d = 0.16
Interest in M&S in general
d = 0.23
Further zooming in
- Only interest in career significant: n = 4, p < .05, d = 0.40, CI [0.04-0.76]
Conclusions
- Reform approaches positive influence
- Quality of implementation probably most important
- Start young enough
5) Overall take home messages
a) Interest develops slowly – requires regular support (perhaps also outside school)
b) If you measure interest/attitude use a validated questionnaire and report all relevant details
c) Whatever approach: implement it well
d) Students (grade 11) value STEM education based on authentic professional practices
e) Opportunities to link with students’ ideals? (contact with people, improve the world)
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Wish curve:
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STEM
interest
TIME
Thanks for your interest!
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Dierdorp, Adri, Bakker, Arthur, van Maanen, Jan & Eijkelhof, Harrie (2014). Meaningful statistics in professional practices as a bridge between mathematics and science: an evaluation of a design research project. International Journal of STEM Education, 1 (9)
Dierdorp, A., Bakker, A., Eijkelhof, H.M.C. & van Maanen, J.A. (2011). Authentic practices as contexts for learning to draw inferences beyond correlated data. Mathematical Thinking and Learning, 13, (pp. 132-151
Savelsbergh, E. R., Prins, G. T., Rietbergen, C., Fechner, S., Vaessen, B. E., Draijer, J. M., & Bakker, A. (2016). Effects of Innovative Science and Mathematics Teaching on Student Attitudes and Achievement: A Meta-Analytic Study. Educational
Research Review.Open access:
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