Using metro lines for integration of nucleotide metabolic pathways

Students always encounter difficulties in studying biochemical pathways. They are especially weak in understanding the relationships between metabolic pathways and their integration because these pathways are always taught one‐by‐one in class. In the past, various online resources have been develope...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Biochemistry and molecular biology education 2019-09, Vol.47 (5), p.532-537
Hauptverfasser: Lee, Rebecca K. Y., Ng, Bernard Y. N., Chen, Daisy M. H.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Students always encounter difficulties in studying biochemical pathways. They are especially weak in understanding the relationships between metabolic pathways and their integration because these pathways are always taught one‐by‐one in class. In the past, various online resources have been developed to facilitate students' understanding toward energy metabolism. Although these learning materials enable students to understand individual metabolic pathway in a clearer manner, many of them fail to demonstrate the linkages between these pathways. The “AG City” is a self‐learning tool which aims to arouse students' interest in exploring nucleotide metabolism. We have designed a metro map as a concept map to allow students to have an overview of different pathways as well as their integration. Major pathways are presented as railway lines in an easy‐to‐understand and interactive manner using navigation, animations, and narrations. Key molecules involved in the pathways are presented as “railway stations”. Students can easily identify common “railway stations” presented in different pathways and link the concepts that they have learnt together. This interactive self‐learning tool has been packaged as a courseware using the Articulate Storyline eLearning authoring software. © 2019 International Union of Biochemistry and Molecular Biology, 47(5):532–537, 2019.
ISSN:1470-8175
1539-3429
DOI:10.1002/bmb.21256