Zur Modellierung und Klassifizierung von Kompetenzen in der grundlegenden Programmierausbildung anhand der Anderson Krathwohl Taxonomie

TL;DR

This paper develops a specialized competency model for basic programming education in computer science, using the Anderson Krathwohl Taxonomy to classify and standardize programming skills and assessments.

Contribution

It adapts the AKT to the context of computer science, addressing gaps in existing competency models for programming education.

Findings

Revised AKT model specific to computer science competencies

Classified programming skills by cognitive complexity and knowledge dimension

Proposed standardization of curricula and assessment development

Abstract

This research paper focusses on the competences expected from computer science novices in the domain of basic programming and how they can be classified. By means of a qualitative content analysis of current learning objectives at German universities and the perspective of university teachers, basic programming competencies are identified. Since the competency model proposed by the German Society of Computer Science (GI) reveals several deficits, competencies are classified along the Anderson Krathwohl Taxonomy (AKT) of learning, teaching and assessing. As a result, dimensions and subtypes of the AKT are revised towards a model specific to computer science aiming at the classification of programming competencies according to their cognitive complexity and knowledge dimension. The adaptation of the educational model can thereby help standardize curricula, and develop assessments and corresponding items in the future.