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Updated: Nov 23, 2025

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A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
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Constructing online concept maps in CMap Cloud collaboratively: Connecting pathways in case scenarios.
Gabriel Gerber Hornink1, Manuel João Costa2
1Biochemistry Department, Institute of Biomedical Sciences, Federal University of Alfenas (UNIFAL-MG), Alfenas, Minas Gerais, Brazil.
Summary
This study proposes a collaborative online concept mapping strategy to enhance student learning of complex metabolic pathways. This generative approach utilizes virtual concept maps for better understanding of biochemical processes.
Area of Science:
- Biochemistry and Education Technology
Background:
- Understanding metabolic pathways is crucial for comprehending life's biochemical processes.
- Learning complex metabolic pathways in virtual environments presents significant challenges.
- Generative learning strategies, like creating online concept maps, can facilitate this learning process.
Purpose of the Study:
- To present a flexible, collaborative strategy for constructing virtual concept maps focused on metabolism.
- To leverage the CMap Cloud application for facilitating this educational approach.
Main Methods:
- Students collaboratively brainstorm and discuss metabolic concepts online.
- The strategy incorporates peer assessment and teacher feedback.
- Utilizes the free CMap Cloud browser application for concept map construction.
Main Results:
- The proposed method offers a structured yet adaptable framework for virtual learning.
- Facilitates deeper engagement with metabolic pathways through active construction and collaboration.
Conclusions:
- Collaborative virtual concept mapping is an effective generative learning strategy for metabolism.
- The proposed method can be adapted to diverse educational and technological contexts.
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