Inductive thinking of engineer students

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Péter Tóth
Monika Pogátsnik

Abstract

The task of higher education is twofold, (1) to prepare students to meet the expectations of the labour market, (2) to create a learning environment and conditions so that students can meet the subject requirements, i.e., the drop-out rate should be as low as possible. Input and continuous monitoring of students’ transversal competencies can be a suitable method to meet this dual requirement. The range of these competencies is very diverse. In the present study, we focused on inductive thinking, which plays an important role in problem solving, and its components, abstract inferential and diagrammatic thinking. The research involved 212 BSc technical undergraduates. During research, we used a measurement tool widely used in the selection of the workforce, which students had to fill in online. Thus, in addition to the results, it was possible to record the solution time per item. The results were evaluated using IBM SPSS Statistics. The analysis included a comparison of inductive thinking and its two subcomponents, abstract inference, and diagrammatic thinking, in terms of background variables, as well as time spent, and then in terms of defining specific performance. We found a functional relationship between the time spent and the performance achieved in the test. The items of the diagrammatic task were subjected to a deeper analysis. Students have advanced analogical thinking, but their diagrammatic thinking shows very different levels of development, which can cause difficulties in solving technical problems.

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Tóth, P., & Pogátsnik, M. (2021). Inductive thinking of engineer students. Iskolakultúra, 31(10), 38–57. https://doi.org/10.14232/ISKKULT.2021.10.38
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References

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