Information Encoding Modeling in Computer Science Education
Modeling is a major component of Computer Science (CS) education implemented in K-12. We propose Information Encoding Modeling (IEM) to facilitate the development of modeling competencies, emphasizing semiotic competence and the creative representation of complex information. This research situates IEM within the context of existing modeling techniques, evaluates its application through various examples, and proposes an Encoding Diagram as a key representational tool. We present the potential integration of IEM into CS education to enhance students’ understanding of information encoding and Computational Thinking principles.
Authors
- Johannes Krugel (ORCID: https://orcid.org/0000-0003-0967-4872)
- Heike Buttke (ORCID: https://orcid.org/0009-0005-9370-7906)
Institutions
- Leibniz University Hannover (DE)
Publication Details
- Published
- 2024-09-05
- DOI
- https://doi.org/10.1145/3677619.3678125
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00