Informatikdidaktische Diskussion über das Design eingebetteter Systeme

Today, the education of future developers of embedded systems is characterized by a subjective, culture-specific design of teaching and learning processes. This design, mostly, does not take the results of research on competences into account. There is a consensus that competences – cognitive abilities and skills used to solve specific problems – and competence models are needed to mediate between abstract and concrete educational goals of teaching and learning processes. Therewith, the exploration of competence models and paths of competence acquisition are fundamental research needs for didactics of computer engineering at university.

Within this work, based on the results of the project competence development with embedded micro- and nanosystems (KOMINA) funded by the German Research Foundation, approaches for a theoretical foundation of laboratory courses of computer engineering have been developed. Within this thesis, the understanding of embedded systems as a part of computer science curricula has been broadened since it is not limited to computer engineering. While these systems are also suitable as learning objects to promote competences within various computer science disciplines. A taxonomy to foster the comparability of research on didactics of computer engineering is further developed and applied in order to conceive institutional particularities and the versatility of the practice field. The design and application laboratory for embedded systems, developed in the context of KOMINA, is the object of research. Students of computer science are the target group. In addition to the formative evaluation of the developed laboratory the taxonomy enables the identification of typical learning barriers. These findings justify the need for new educational concepts as well as learning software, taking institutional particularities and target group specific knowledge into account.

Cognitive structures as a component of Didactic Systems are investigated. As they serve as a basis for the refinement of the empirically evaluated competence structure model for the development of embedded micro- and nanosystems. So far, the sequences of teaching units have been considered in Didactic Systems, which posses three functions. The orientation of the learner in the topic, the organization of the planning of teaching and learning processes as well as the discussion of didactic decisions. In this work, regarding the contribution to basic research on didactics of computer engineering at university, the discussion of didactic decisions in the design of educational processes and paths of competence acquisition has priority. Therefore, the demands on the representation of cognitive structures – expressiveness, clarity and comprehensibility – are adjusted in favor of the discussion of didactic decisions.

The author provides concepts which allow researchers to analyze technical concepts as well as to develop educational processes in a theoretically established manner. These are, in particular, a taxonomy to identify learning barriers, the methodology for the differentiation of competences related to the identified learning hurdles, and the visualization of cognitive structures with these competences at center. Additionally, the learning software Exploratory Learning and Visualization Environment, that has been developed with the author’s responsibility, is presented. This software serves as an example for the use of simulations in laboratory courses of computer engineering. Thus, the combination of the refinement of the competence structure model in conjunction with cognitive structures in addition to learning software, which can be applied to overcome the identified learning hurdles, is shown as an example.