The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
The Origins of the Concept Mapping Tool and the Continuing Evolution of the Tool
Abstract
A research program at Cornell University that sought to study the ability of children to acquire science concepts and the effect of this learning on later schooling led to the need for a new tool to describe explicit changes in children's conceptual understanding. Concept mapping was invented in 1972 to meet this need, and subsequently numerous other uses have been found for this tool. Underlying the research program and the development of the concept mapping tool was an explicit cognitive psychology of learning and an explicit constructivist epistemology. In 1987, collaboration began between Novak and Cañas and others at the Florida Institute for Human and Machine Cognition, then part of the University of West Florida. Extending the use of concept mapping to other applications such as the integration of concept mapping with the World Wide Web (WWW) led to the development of software that enhanced the potential of concept mapping, evolving into the current version of CmapTools now used worldwide in schools, universities, corporations, and governmental and non-governmental agencies. Differences between concept maps and other knowledge representation tools are described. The integration of concept mapping software programs with the WWW and other new technologies permits a new kind of concept map-centred learning environment wherein learners build their own knowledge models, individually or collaboratively, and these can serve as a basis for life-long meaningful learning. Combined with other educational practices, use of CmapTools permits a New Model for Education. Preliminary studies are underway to assess the possibilities of this New Model.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(1978) · Medical Entomology and Zoology · Cited by 53,488
The Structure of Scientific Revolutions
Kuhn, T. S., & Schlegel, R. (1963) · Physics Today · doi:10.1063/1.3050879 · Cited by 35,538
(1999) · Cited by 12,812
THE STRUCTURE OF SCIENTIFIC REVOLUTIONS
MCGUIRE, J. E. (1963) · Philosophical Books · doi:10.1111/j.1468-0149.1963.tb00813.x · Cited by 8,424
Novak, J. D., Gowin, D. B., & Kahle, J. B. (1984) · doi:10.1017/cbo9781139173469 · Cited by 5,199
Self-citationEducational Psychology: A Cognitive View
Ausubel, D. P., Novak, J. D., & Hanesian, H. (1968) · Medical Entomology and Zoology · Cited by 5,195
Self-citationEducational Psychology: A Cognitive View
Gagné, R. M., Ausubel, D. P., & Gagne, R. M. (1969) · American Educational Research Journal · doi:10.2307/1161899 · Cited by 3,278
The psychology of meaningful verbal learning.
Ausubel, D. P. (1963) · Cited by 2,568
(1998) · Choice Reviews Online · doi:10.5860/choice.36-1103 · Cited by 1,632
The Theory Underlying Concept Maps and How To Construct Them
Novak, J. D. (2004) · Cited by 989
Self-citation
Cited by
Hwang, G.-J., Wu, P.-H., & Ke, H.-R. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.06.011 · Cited by 270
Bressington, D. T., Wong, W.-K., Lam, K. K. C., & Chien, W. T. (2018) · Nurse Education Today · doi:10.1016/j.nedt.2017.09.019 · Cited by 105
The Effectiveness of Concept Maps on Students’ Achievement in Science: A Meta-Analysis
Anastasiou, D., Wirngo, C. N., & Bagos, P. (2024) · Educational Psychology Review · doi:10.1007/s10648-024-09877-y · Cited by 36
Cheng, Y.-P., Shen, P.-D., Hung, M.-L., Tsai, C.-W., Lin, C.-H., & Hsu, L. C. (2022) · Universal Access in the Information Society · doi:10.1007/s10209-020-00789-6 · Cited by 30
Associating spatial knowledge with concept maps to facilitate learning in digital gaming contexts
Hwang, G.-J., Lin, Y.-C., & Lin, H.-C. (2023) · Educational technology research and development · doi:10.1007/s11423-023-10274-5 · Cited by 10
Metadata
- Authors
- Novak, J. D., & Cañas, A. J.
- Venue
- Information Visualization
- Publisher
- SAGE Publications
- Published
- 2006-09
- Volume
- 5
- Issue
- 3
- Pages
- 175-184
- ISSN
- 1473-8716 (ISSN-L)
- 1473-8724
- OpenAlex
- W2111312226
- Cited by
- 406
- References
- 34
- FWCI
- 25.93
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Origins of the Concept Mapping Tool and the Continuing Evolution of the Tool. https://app.cochat.ai/papers/10.1057/palgrave.ivs.9500126
- The paper
- Novak, J. D., & Cañas, A. J. (2006). The Origins of the Concept Mapping Tool and the Continuing Evolution of the Tool. Information Visualization. https://doi.org/10.1057/palgrave.ivs.9500126
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.