Graduation

All lecturers in the IST-Department have specific expertise on one or more themes. Within a theme there is usually, but not always, room for conducting your thesis research.

The component elements in a thesis project usually are: literature review, design of the study, conducting the research, anlyzing the results, report writing.

Theme descriptions describe the content, and may include information about audience, research methods and contexts. Each description ends with a set of questions that might be a topic for Ma-thesis research. Ba-thesis students can also do research within a theme. However, they can only elect to work on a predefined topic. The list of topics for a theme are presented immediately below its descriptions.

The themes are:


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Talented beta girls and their attitudes towards stem careers

TEACHER: Martina Meelissen

TOPIC

Although the enrollment of girls in advanced math and science programs in Dutch higher secondary education (HAVO/VWO) has increased during the last ten years, they continue to be underrepresented in Science, Technology, Engineering, and Mathematics (STEM) occupations. This underrepresentation can also be found in STEM-related programs in lower and higher vocational education and at the university level. The main goal of this project is explore why a so many talented beta girls in the various educational tracks do not end up in a STEM-related profession in the Netherlands and to what extent the Dutch situation differs from other countries. This project consists of two parts:

1.A review of recent literature addressing gender differences in STEM education and careers

2.Analyses of PISA 2015 data to explore the relations between ability, attitudes and self-efficacy in mathematics and science and STEM career aspirations of 15 year-old students in the different tracks (VMBO, HAVO, VWO) and a comparison between the Netherlands and another (neighboring) country that is more successful in keeping beta girls in STEM education and careers.

Method

You do not have to be a statistical expert for this project. There is sufficient support available during the project. However, you have to be interested in and willing to learn how to analyse a large international dataset such as PISA. More information about PISA 2015 can be found at https://www.oecd.org/pisa/

We expect that the international data of PISA 2015 will be available at the beginning of 2017.