A Pedagogical Framework for Developing Abstraction Skills

Marjahan Begum, Julia Crossley, Filip Strömbäck, Eleni Akrida, Isaac Alpizar-Chacon, Abigail Evans, Joshua B. Gross, Pontus Haglund, Violetta Lonati, Chandrika Satyavolu, Sverrir Thorgeirsson

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Abstraction is a fundamental yet challenging skill to teach and learn in Computer Science education. Traditional frameworks of abstraction and concept formation often emphasize understanding an abstraction over its application, the latter being critical for practical Computer Science. Additionally, a common issue in education is when students may understand a concept in a classroom or a very specific setting but struggle to apply it outside of that context. In response, we present here a novel pedagogical framework designed to enhance both the development and application of abstraction skills in diverse educational contexts within the field of Computer Science. Our framework synthesizes common themes from existing models while introducing a new dimension focused explicitly on the actionable development of abstraction skills. Educators can adapt the framework to various educational contexts to support development of students' abstraction skills. Our framework was iteratively developed through a combination of theoretical analysis and reflective practice across multiple teaching contexts. We demonstrate the suitability of the framework by applying it to various case studies, demonstrating its broad applicability and practical utility. By offering a flexible yet comprehensive structure, our framework enables educators to effectively organize and deliver educational content, guiding students from abstract theoretical concepts to their practical application in Computer Science.

Idioma originalInglés
Título de la publicación alojadaITiCSE WGR 2024 - Publication of the 2024 Working Group Reports on Innovation and Technology in Computer Science Education
EditorialAssociation for Computing Machinery
Páginas258-299
Número de páginas42
ISBN (versión digital)9798400712081
DOI
EstadoPublicada - 23 ene 2025
Publicado de forma externa
Evento29th Working Group Reports on Innovation and Technology in Computer Science Education, ITiCSE WGR 2024 - Milan, Italia
Duración: 8 jul 202410 jul 2024

Serie de la publicación

NombreAnnual Conference on Innovation and Technology in Computer Science Education, ITiCSE
ISSN (versión impresa)1942-647X

Conferencia

Conferencia29th Working Group Reports on Innovation and Technology in Computer Science Education, ITiCSE WGR 2024
País/TerritorioItalia
CiudadMilan
Período8/07/2410/07/24

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