The Government of one of the German federal states was searching for a partner able to implement an unbiased scientific approach to personality testing in the realm of vocational interests.
The point was in the accurate and reliable majoring field and academic content selection for students of senior secondary schools in this particular federal state.
The Government contacted Sentino. The proposed solution included students’ personality testing and subsequent intelligent data scoring with Sentino API. It allowed both to increase the satisfaction level of students, teachers, and parents and optimise high-quality subject-oriented education based on a cost-saving approach.
Federal State Government – Organization Profile
Traditionally, educational institutions in Germany, including secondary schools, are managed by the government of the relevant federal state. In average, there are above 3,000 of schools in each federal state. The local government is quite autonomous in dealing with educational issues. Among other things, it determines the academic content of pre-university training in senior secondary schools. At that, special attention is paid to students’ preferences, on the one hand, and development of a future-oriented and economically feasible educational model, on the other hand.
The Government of the federal state was searching for an unbiased scientific way of examination of students’ preferences in senior secondary schools under their control. The aim was to implement a standardized procedure for selection of a majoring field and academic content (compulsory and elective courses) for three years of pre-university training. However, the authorities faced a challenge – they were forced to take into consideration three equally important aspects: preferences of students, vocational interests and workload of teachers, current and future demand for certain professions and specializations.
Our team proposed the following solution. Each student passes a small personality survey: completes a questionnaire of 10 questions and writes a short text self-description (“My Major Strengths and Weaknesses”).
After, test results and text data are processed with Sentino API according to the RIASEC scale. The analysis helps to define the relevant spheres of vocational interests of each student. They are the following: Natural Resources, Health Services, Industrial and Engineering Technology, Arts and Communication, Business, Public and Human Services. Based on this information, students are grouped with due account of similarity of their vocational interests, representing different majoring fields. Thus, majoring fields, which are not popular with students, are included in the curriculum just in their minimum compulsory volume. The resources saved are directed into popular spheres.
During the next step, young persons choose academic content of their pre-university training (i.e. individual compulsory and elective courses). Academic courses are proposed by teachers and school management with regard to future university training of students and demand for various specialists in German, European and global labour market. Moreover, it becomes possible to systemize and optimize the workload of teachers.
- Standardized scientific approach to majoring field selection for students of senior secondary schools across the federal state
- Unbiased and transparent procedure
- Careful consideration of individual vocational interests
- Future-oriented approach to education
- Economically feasible and cost-effective organization of senior secondary education