Success/Failure in ISEG: How Long Does it Take To Complete Some Core 1st. Year Disciplines
Author(s):
Conference:
ECER 2011
Format:
Paper

Session Information

22 SES 06 B, Teaching, Learning and Assessment in Higher Education

Paper Session

Time:
2011-09-14
15:00-16:30
Room:
L 202,1 FL., 37
Chair:
Jani Petri Ursin

Contribution

Due to the overall development in education brought about by democracy Portugal faced a huge development in Higher Education (HE) since the beginning of the 1980’s until 2003. Then the trend began to reverse due to demographic evolution (OECD 2006). However, the net graduation rate for Portugal compares badly with most EU member states (32,3%  against 34,9% and 36,4% for EU-19 and OECD averages, respectively, in 2005). Besides, survival rates in HE are relatively low when compared to other EU countries: 66% against 75% for Spain (2005) [1].  

This means that the Portuguese production function of HE faces considerable deadweight losses, under the form either of retention rates or of quitting flows. (Un)success in academic performance at HE 1st cycle becomes more important now that Bologna Chart is on the way for tertiary education. As a matter of fact institutional arrangements became more strict under Bologna, namely throughout shorter time duration for 1st. cycle completion (from 4 to 3 years,  in most Portuguese social sciences graduation programmes) though syllabuses’ extension and complexity remained almost the same.

It seems therefore most pertinent to investigate the main factors affecting students’ performance at the beginning of higher education.

 Given the syllabuses interdependency between sequential graduation years for most subjects it looks advisable to analyse a bundle of 1st. year core disciplines and investigate the main features behind the corresponding (un)success rates.  Actually those disciplines will provide the main qualifications upon which further developments will settle along the graduation programme.

Most research carried on higher education success and failure rates still relies upon cross section methodologies supported by synchronic data. But learning is by itself a rather complex multidimensional and time dependent process, mainly when it coincides with transitions to adult life (Bidart & Lavenu, 2005).

Therefore the main purpose of this paper consists in systematically assess semi-longitudinal data on individual trajectories retrieved from ISEG Pedagogic Observatory in order to approach the main determinants of success\failure at the beginning of 1st cycle as a dynamic and past dependent process. We set the number of enrolments   needed to successfully complete two 1st year\1st semester disciplines, common to the four graduation programmes, as a proxy for (un)success. 

Our main hypotheses are therefore:

- relative success in completing core 1st year graduation subjects, will be negatively affected by lower SES of the family of origin, poor performance during previous schooling and H.E. trajectories, participation in the labour market;

- gender outcomes will most probably differ either relatively to success rates or to patterns of enrolment induced by the above determinants.


 

 

 

Method

We took life cycle theories as the theoretical framework. In this paper we are concerned with dynamic transitional processes instead of single turning points (as the transition into university) and intend to assess the interplay between such processes usually taken as independent and rather static. Actually, success and failure are the outcome of dynamic and complex interacting features spread quite diversely along individual’s trajectories and whose effects impart along larger or shorter spells of time. Therefore, we apply discrete time survival analysis models to data on individual life cycle trajectories. We measure (un)success in tertiary education by the number of enrolments required to complete two critical subjects, Math 1 and Economy 1 of 1st year\1st semester graduation program. Our data base follows the trajectories of students who entered Higher Education (H.E.) from 2006-1st semester to 2009-1st semester. We have data on individual characteristics, pre-university trajectory, family’s socio-economic characterisation, and HE trajectory.

Expected Outcomes

From previous case studies we are aware of the influence upon individual school trajectories of a set of conventional determinants as individual characteristics, socio-economic status of the family of origin, own prior scholar performance, kind of study at high school (for upper secondary’s), own situation towards employment, career requirements and raised family characteristics (for post-graduates). Nevertheless, as to our knowledge, no research of the kind has been developed for Portuguese undergraduate students trajectories, specially in their critical starting point, taking into consideration dynamic success factors. Therefore we expect to derive an useful insight into the determinants of success in the 1st cycle of Bologna Chart by analysing semi-longitudinal data.

References

•Belley, Ph. & Lochner, L. (2007), “The changing role of family income and ability in determining Educational achievement”, Journal of Human Capital 2:1, 1-31; •Ben-Porath, Y. (1967), “The production of human capital and the life cycle of earnings”, Journal of Political Economy 75; 353-367; •Chagas Lopes, M. et al, (2004), “School failure and intergenerational "human capital" transmission in Portugal”, Paper presented at the European Conference on Educational Research, University of Crete, 22-25 September (http://brs.leeds.ac.uk/cgi-bin/brs_engine); •Chagas Lopes, M. (2007), “Time to complete a post-graduation: some evidence on "school effect" upon ISCED 7 trajectories”, Paper presented at the European Conference on Educational Research, University of Ghent, 19-21 September (http://brs.leeds.ac.uk/cgi-bin/brs_engine); •Chagas Lopes, M. & Leão Fernandes, G. (2011), “Interruptions and Failure in Higher Education: evidence from ISEG-UTL”, Accepted for publication, Spring, EERJ •Hassink, W. & Kiiver, H. (2007), Age-dependent Effects of Socio-economic Background on Educational Attainment – Evidence from Germany, Tjalling Koopmans Research Institute, Discussion Papers nº 07-26; •ME-GEPE (Ministry of Education – GEPE), 2007, “Estudantes à Entrada do Nível Secundário de Ensino - Resultados Globais do Questionário Piloto” « http://www.gepe.min-edu.pt/np4/136.html» (Acc. 13th. July 2007); •OECD (2006), Thematic review of tertiary education – country background report: Portugal, http://www.oecd.org/dataoecd/23/1/37745972.pdf (Ac. 26th. June 2008); •OECD (2006), Bologna Process: National Report from Portugal – 2005/2007, http://www.ond.vlaanderen.be/hogeronderwijs/bologna/links/National-reports-2007/National_Report_Portugal2007.pdf (Ac. 31st. July 2008); •OECD (2007), Education at a glance 2007, http://www.oecd.org/dataoecd/17/15/39245059.xls (Ac. 1st. July 2008); •Perista, H. & Silva, A., (2004), Science Careers in Portugal, MOBISC-EURODOC, Bruxelas, Comissão Europeia; •Plug, E. (2002), How do Parents Raise the Educational Attainment of Future Generations? Bonn, IZA DP nº 652, http://www.iza.org/index_html (Ac. July 2004); •Pronzato, Ch. (2008), “Why educated mothers don’t make educated children ?”, ISER Working Papers 11/2008, http://d.repec.org/n?u=RePEc:ese:iserwp:2008-11&r=edu (Ac. 20th June 2008); •Vandenberghe, V. (2007), “Family Income and Tertiary Education Attendance across the EU: An empirical assessment using sibling data”, London, CASE-LSE W/P, nº123

Author Information

Graça Leão Fernandes (presenting / submitting)
CEMAPRE-ISEG-UTL
Mathematics
CARCAVELOS
SOCIUS, ISEG-UTL
Lisbon
CEMAPRE, Portugal; ISEG-UTL, Portugal

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