Contexts of VET and HE: Measuring, linking, and analyzing data 1 |
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| Coordinator 1 | Dr Katarina Wessling (ROA, Maastricht University) |
| Coordinator 2 | Dr Dominik Becker (Federal Institute for Vocational Education and Training (BIBB), Bonn) |
After completing general secondary school, students can – depending on the educational system – enter different forms of vocational education and training (VET) or Higher Education (HE). These different forms of post-school education take place in contexts, e.g., vocational schools, firms, colleges, universities of applied sciences, or research university. In countries that offer on-the-job VET programs or dual-study programs, students are trained jointly in firms and in vocational schools or colleges.
To gain a comprehensive understanding of channels and mechanism through which theses contexts influence individuals’ skill acquisition and labor market outcomes, data (in particular linked data) on these contexts is necessary.
In this session, we discuss data and substantive research on the measurement and analysis of contextual settings in the above sense, and their consequences for individuals’ educational and employment outcomes.
We are interested in the following research topics:
Data linkage: Linking firm-level and vocational school-level, college-level and/or university-level data with student/apprentice-level data
Measurement of context conditions in VET, firms, or HE:
- Expectations (and effectiveness) of VET school, HE institution teachers or firm instructors
- Instruction quality in VET school, HE institution or on the firm level
- Social, ethnic, gender, skill, or other forms of composition in VET school, HE institution or in firms
- Changes or modifications in training and study programs within or between occupations/fields of study (e.g., implementation of technological change or other forms of innovativeness)
- Implementation and evaluation of blended and online learning in VET school, HE institution or in firms
Analyses of effects of context conditions in VET, firms, or HE:
- Effects on objective labor-market outcomes, e.g., skill acquisition, wages, employment prospects, mismatch, occupational status, or occupational mobility
- Effects on subjective labor market outcomes, e.g., vocational interests, work values, career plans,