Zur Modellierung und Klassifizierung von Kompetenzen in der grundlegenden Programmierausbildung anhand der Anderson Krathwohl Taxonomie
Zur Modellierung und Klassifizierung von Kompetenzen in der grundlegenden Programmierausbildung anhand der Anderson Krathwohl Taxonomie
复制标题
安德森·克拉斯沃尔分类法中的基本原理程序中的建模和分类
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Natalie Kiesler
中科院分区：
文献类型：
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作者：
Natalie Kiesler
本研究论文重点关注计算机科学新手在基础编程领域所期望的能力以及如何对其进行分类。通过对德国大学当前学习目标的定性内容分析和大学教师的观点，确定了基本的编程能力。由于德国计算机科学学会 (GI) 提出的能力模型揭示了一些缺陷，因此能力按照学习、教学和评估的 Anderson Krathwohl 分类法 (AKT) 进行分类。因此，AKT 的维度和子类型被修改为计算机科学特有的模型，旨在根据认知复杂性和知识维度对编程能力进行分类。教育模式的调整有助于标准化课程，并在未来制定评估和相应项目。
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.