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Nongkhai, Lalita Na; Wang, Jingyun; Mendori, Takahiko – International Association for Development of the Information Society, 2022
This paper proposes the design of an ontology of multiple programming languages and give three examples to show the methodology. Our ontology aims to summarize the core of computational thinking logic by elaborating the concepts of three object-oriented programming languages in the industry: Python, Java, and C#. Therefore, the construction of the…
Descriptors: Programming Languages, Computer Science Education, Intelligent Tutoring Systems, Thinking Skills
de Ruiter, Laura E.; Bers, Marina U. – Computer Science Education, 2022
Background and Context: Despite the increasing implementation of coding in early curricula, there are few valid and reliable assessments of coding abilities for young children. This impedes studying learning outcomes and the development and evaluation of curricula. Objective: Developing and validating a new instrument for assessing young…
Descriptors: Programming Languages, Computer Software, Coding, Computer Science Education
Finch, Lila; Moreno, Celeste; Shapiro, R. Benjamin – Cognition and Instruction, 2021
Creating learning environments that integrate arts, sciences, and computing in education can improve learning in these disciplines. In particular, transdisciplinary integrations of these disciplines can lead to expansive alterations or dissolutions of epistemological, ideological, and methodological boundaries. We wish to support teachers in the…
Descriptors: Interdisciplinary Approach, Learning Processes, Thinking Skills, Epistemology