Laura Ohrndorf

Bio: Laura Ohrndorf is an academic researcher from University of Siegen. The author has contributed to research in topics: Competence (human resources) & Teacher education. The author has an hindex of 7, co-authored 14 publications receiving 139 citations. Previous affiliations of Laura Ohrndorf include University of Paderborn & Folkwang University of the Arts.

Competence model for informatics modelling and system comprehension

Abstract: In this paper we describe the full competence model for informatics modeling and system comprehension that has been developed by a team of researchers in the fields of computer science education, didactics of informatics and psychology. The article presents the development process of the competence model and the corresponding measurement instrument and gives a detailed overview of each of the five competence dimensions.

Towards a Competency Model for Teaching Computer Science.

Abstract: To address the special challenges of teaching computer science, adequate development of teachers’ competencies during their education is extremely important. In particular, pedagogical content knowledge and teachers’ beliefs and motivational orientations play an important role in effective teaching. This research field has been sparsely investigated up to now and there exists no consistent competency model for teaching computer science in Germany. Therefore, this paper describes the development of competency in the areas of pedagogical content knowledge, teachers’ beliefs, and motivational orientations with regard to computer science. Competency-relevant factors for teaching computer science are theoretically derived and concretely formulated with the help of expert interviews conducted according to the critical incident technique and analyzed using techniques of qualitative content analysis.

Pedagogical content knowledge for computer science in German teacher education curricula

Abstract: In the framework of a cooperation project that aims to identify the competencies required for teaching computer science in schools, we are developing a conceptualization of PCK currently Up to now, we have derived a category system from literature and evaluated several interviews with teaching persons In this paper, we describe the category system and the most important steps of its derivation Further, we present the results of a survey that had investigated all curricula for CS teacher education that we had found in Germany, looking for the implementation of those categories Furthermore, we are preparing interviews among experts about PCK, applying the Critical Incident Technique

Developing a competency model for teaching computer science in schools

Abstract: This poster presents the methodology and the first results of the KUI-Project that aims to develop a competency model for teaching CS in schools. By means of qualitative content analysis we are developing a structured model for this purpose. We present first results of the investigation of German curricula for teacher education.

Development of a competency model for computer science teachers at secondary school level

Abstract: In order to identify important competencies required for teaching computer science in schools, the research project KUI (Competencies for Teaching Computer Science) granted by the Ministry of Education and Research (BMBF) was founded. At this point in time, there is no consistent competency model for training computer science pre-service teachers in Germany. The development of an adequate model is an important step to establish outcome-oriented guidelines and curricula recommendations. The first framework of a competency model is structured into the dimensions of subject matter knowledge (CK), pedagogical content knowledge (PCK) and non-cognitive competencies (NCC). This article concentrates on the development of the PCK and NCC competency model. It describes our methodological approach, our results of expert interviews to refine the model, and shows an overview of the first competency definitions.

Teaching for quality learning at university

Abstract: by J. Biggs and C. Tang, Maidenhead, England, Open University Press, 2007, 360 pp., £29.99, ISBN-13: 978-0-335-22126-4

A review of models for introducing computational thinking, computer science and computing in K-12 education

Abstract: Computer science is becoming ever increasingly important to our society. Computer science content has, however, not traditionally been considered a natural part of curricula for primary and secondary education. Computer science has traditionally been primarily a university level discipline and there are no widely accepted general standards for what computer science at K-12 level entails. Also, as the interest in this area is rather new, the amount of research conducted in the field is still limited. In this paper we review how 10 different countries have approached introducing computer science into their K-12 education. The countries are Australia, England, Estonia, Finland, New Zealand, Norway, Sweden, South Korea, Poland and USA. The studied countries either emphasize digital competencies together with programming or the broader subject of computer science or computing. Computational thinking is rarely mentioned explicitly, but the ideas are often included in some form. The most common model is to make computer science content compulsory in primary school and elective in secondary school. A few countries have made it compulsory in both, while some countries have only introduced it in secondary school.

The Making of a Teacher.

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Design and First Results of a Psychometric Test for Measuring Basic Programming Abilities

Abstract: We present the design of a test for measuring students' abilities concerning the application of control structures. Validated test instruments are a valuable tool for the evaluation of teaching both in a research setting as well as in a classroom setting. Our test is based on item-response-theory, in particular the Rasch model, and comprises a set of items all following the same format and using a simple, artificial programming language. We field-tested and modified the instrument in four iterations using only small samples and special statistical methods instead of the large samples usually required for IRT models. After the fourth iteration, the test has now reached a usable state. Based on the results, we were able to identify two misconceptions that are occurring very frequently in our test population - students of grade 7 to 10 in secondary schools.