Pregled bibliografske jedinice broj: 1268746
Structural Analysis of the Curriculum Through a Bipartite Network
Structural Analysis of the Curriculum Through a Bipartite Network // Proceedings of the 8th International Conference on Complexity
Prag, Češka Republika, 2023. str. 53-60 doi:10.5220/0011854700003485 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Structural Analysis of the Curriculum Through a
Bipartite Network
Autori
Vukic, Durdica ; Jakupovic, Alen ; Candrlic, Sanja
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 8th International Conference on Complexity
/ - , 2023, 53-60
ISBN
978-989-758-644-6
Skup
Future Information Systems and Risk - COMPLEXIS
Mjesto i datum
Prag, Češka Republika, 22.04.2023. - 23.04.2023
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Bipartite Network, Curriculum, Centrality Analysis, Cognitive Load
Sažetak
Investigation of curriculum elements in terms of knowledge content organisation can be based on two entities that support the process of knowledge acquisition: concepts and learning outcomes. Motivated by this structure of knowledge organisation, we construct curriculum knowledge content as a bipartite network of concepts and learning outcomes. Furthermore, we examine the applicability of centrality estimates in detecting key knowledge entities of curriculum content as well as possibilities to rethink the knowledge organisation and teaching. Results have shown that centrality analysis is particularly suitable for identifying concepts and learning outcomes that are key landmarks for managing cognitive load and improving learning retention.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti, Edukacijsko-rehabilitacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet informatike i digitalnih tehnologija, Rijeka,
Visoka škola za menadžment i dizajn Aspira, Split