A Comparison between Concept Maps, Mind Maps, Conceptual Diagrams, and Visual Metaphors as Complementary Tools for Knowledge Construction and Sharing
By Martin J. Eppler. Information Visualization, 2006
518 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/a251af383ed7a0edeb43a2a88e11db29ab06c2be
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Chris Biemann
- Alexander Panchenko
- Andreas Holzinger
- Steffen Remus
- Seid Muhie Yimam
- Adam Gledhill
- Martin Davies
- Ian M. Kinchin
In Experimental and Cognitive Psychology
- David B. Hay
- Alexander Panchenko
- Andreas Holzinger
- David R. Streatfield
- Steffen Remus
- Adam Gledhill
- Martin Davies
- Ian M. Kinchin
Citations in the corpus
- Concept mapping, mind mapping and argument mapping: what are the differences and do they matter? (2011, background): “…are that they require some expertise to learn; they can be idiosyncratic in terms of design; and because of their complexity they may not always assist memorability, with learners faced with designing concepts maps often feeling overwhelmed and de-motivated (Beitz 1998; Eppler 2006; Kinchin 2001).”
- Using Concept Mapping to Enhance the Research Interview (2010, background): “Introduction The mapping metaphor has spawned the development of a number of techniques that have been used to elucidate and assess understanding of complex topics (e.g., Eppler, 2006).”
- Entity-Centric Information Access with Human in the Loop for the Biomedical Domain (2017, methodology): “with Mind Maps and similar knowledge management structures, such as concept maps and conceptual diagrams (Willis and Miertschin, 2006; Eppler, 2006), but are not confined to a tree structure, hence they are more apt for sharing and bring provenance in documents into the representation.”
- Transforming the bio-based sector towards a circular economy - What can we learn from wood cascading? (2020, background): “While concept maps follow a top-down approach (Eppler, 2006), data were analyzed from a bottom-up perspective to classify the information inductively and subsequently identify associations.”
- Psychosocial factors associated with talent development in football: A systematic review (2017, methodology): “19 We adopted concept mapping (see figure 2) to provide a visual representation of thematic 20 relationships, including their cross-connections and how these relate to talent development in 21 football (Eppler, 2006).”