(Graph-based Environment for Competency and Knowledge item Organization)
Philipp Mödritscher, MSc
Mag. DI Dr. Max Kesselbacher, B.Sc.
The relations between the competencies are added from scratch and are evaluated by experts, using spreadsheets. For the purpose of a user friendly tool, our platform provides a comfortable, fast and motivating user interface for experts’ evaluations. The results from these evaluations are stored and displayed within the tool. Researchers and developers with a valid account are able to retrieve these results in different statistical forms. To improve administration researchers and developers need a comfortable and fast way, to upload new curricula or edit existing curricula in the graph database and represent them as graphs.
The main aim of this project is it to provide teachers or curriculum developers the possibility to develop a new curriculum, following several criteria. So, teachers who are developing a curriculum for their class are able to filter the competencies they can reach, for example by a specific age-group, and receive suggestions, which competencies the students should already have. They can dd or delete suggested competencies to design their individual curriculum.
GECKO is an important component in the larger project DigiFit4All. It is used to collect competencies for computer science and digital education and to develop new competency models. National and international curricula, educational standards, and competency models build the basis for the competency collection. With the help of the models created in GECKO, learning paths can be calculated and competency profiles of learners can be stored to support the creation of personalized open online courses (POOCs).
Duration: 2016 –
Stefan Pasterk, Andreas Bollin: Digital Literacy or Computer Science: Where do Information Technology Related Primary Education Models Focus on?. 2017 15th International Conference on Emerging eLearning Technologies and Applications (ICETA) , IEEE, Piscataway (NJ), 2017,
Stefan Pasterk, Andreas Bollin: A Graph-based Approach to Analyze and Compare Computer Science Curricula for Primary and Lower Secondary Education. Proceedings of th 2017 ACM Conference on Innovation and Technology in Computer Science Education (ITICSE), ACM Press, New York (NY), 2017,
Stefan Pasterk, Andreas Bollin: Graph-based Analysis of Computer Science Curricula for Primary Education. 2017 IEEE Frontiers in Education Conference Proceedings, IEEE, 2017,