Sociodemographics of the Summer Schools of Science

(2011)

Dunja Potočnik

Science and Society Synergy Institute / Institute for Social

Research

dunja@iszd.hr / dunja@idi.hr

Eurobarometer research on youth in Europe (2011)

Attractiveness of vocational and higher education• Vocational education – the least attractive in HR and IT, the

most attractive in DK, NO • Vocational education/useful skills – HR the last one, DK and

NO the first ones

• Enrollment to university study/higher salary – HR 2.• Enrollment to university/high qualifications – HR 2. to the last• Enrollment to university/interests towards the field of study –

HR i TR at the end // DK, FI, AT• Career guidance received during education – HR among the

last

Science competition results as proxies of the socioeconomic development of the

regions in Croatia

• Physics 2001-2009 / Astronomy 2002-2009 / Chemistry and Biology 2007-2009

• Counties with the highest index of the socioeconomic development have the highest number of the students taking part at the science competitions (scalled by the number of inhabitants per county)

Croatia currently has 18% of HE, EU has 30%, Agenda 2020 – 40%

ROSE study / outreach in Europe?

Summer schools f %

S3 Višnjan 11 6,9

S3++ Višnjan 10 6,3

Math summer school Pazin 19 11,9

SSF Čakovec 49 30,6

SSF Samobor 6 3,8

SSF Split 55 34,4

Fractals Zagreb 10 6,3

Gender f %

F 72 45

M 88 55

N=160 od 177 = 90,4%

Age f %

7 1 0,6

10 14 8,8

11 19 11,9

12 15 9,4

13 21 13,1

14 9 5,6

15 27 17,0

16 19 11,9

17 17 10,7

18 12 7,5

19 5 3,1

Completed grade f %

Pre-primary 1 0,6

1. PS 0 0

2. PS 1 0,6

3. PS 13 8,1

4. PS 15 9,4

5. PS 16 10,0

6. PS 21 13,1

7. PS 12 7,5

8. PS 20 12,5

Total PS (-1) 99 61,8

1. SS 22 13,8

2. SS 19 11,9

3. SS 13 8,1

4. SS 7 4,4

Total SS 61 38,2

Type of high school f %

3 year vocational 0 0

4 year vocational 1 1,6

4 year general / gymansium 14 23,0

Sport/art gymansium 0 0

Linguistic/classical gymnasium 3 4,9

Math gymansium 43 70,5

Place of living f %

Village 28 17,5

Town 60 37,5

Macro-regional centres (Zagreb, Rijeka, Split, Osijek)

72 45,0

Parents’ place of birth Mother Father

f % f %

Village 55 34,6 51 32,1

Town 55 34,6 52 32,7

Macro-regional centres 49 30,8 56 35,2

Parents’ education Mother Father

f % f %

Without school/primary school 1 0,6 0 0

3 year vocational school 4 2,5 12 7,5

4 year vocational school 29 18,1 36 22,5

Gymnasium 7 4,4 7 4,4

Higher school 14 8,8 14 8,8

University 82 51,3 70 43,8

MA or PhD 23 14,4 21 13,1

Parents’ profession Mother Father

f % f %

Housewifes 1 6,3 0 0

Agricultural workers 0 0 1 0,6

Workers 17 10,7 29 18,2

Craftsmen 1 0,6 12 7,5

Police and military 2 1,3 5 3,1

Freelancers (journalists and artists) 8 5,0 4 2,5

Clerk officers 28 17,6 13 8,2

Experts (teachers, engineers, medical doctors, scientists)

81 50,9 63 39,6

Managers (directors, politicians) 12 7,5 32 20,1

Data analysis by sociodemographic characteristics:

Gender – no statistically significant differences between the summer schools

Age and completed grade – the youngest students at the SSFs

Type of schools (primary-secondary + among secondary) – no statistically significant differences

Place of living – only participants of the SSF (Čakovec and Samobor) come from smaller places (villages and small towns), participants of the rest of the summer science schools predominantly come from bigger towns and macro-regional centres.

Mothers’ place of birth – S3 – mainly village; S3++ villages and smaller towns; Math camp – big towns; SSF Čakovec – villages and small towns; SSF Samobor – big towns; LJTZ SSF Split – big towns, Fractals – villages and small towns.

Fathers’ place of living/Mothers’ and fathers’ education/Mothers’ and Fathers’ profession – no statistically significant differences.

There are no significant differences between the summer schools, but population attending them differs from the general population.