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Visualization of knowledge map for monitoring knowledge diagnoses
- Source :
- Journal of Ambient Intelligence and Humanized Computing. 13:1615-1623
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- In order to evaluate the level of knowledge acquired by students, this study presents the contents of the students’ knowledge using a proposed novel method to monitor a knowledge map and to diagnose them. To do so, we propose a method to improve the accuracy of diagnoses by comparing the level of the surrounding knowledge related to the knowledge, rather than the level of the knowledge itself, to correct the evaluation value. Moreover, in visualizing the relationship between knowledge objects based on knowledge evaluation data using an ontological structure, the Deep Sparse Neural Network model of deep learning is applied, and the map is regarded as one neural network and is proposed to express the quantitative value using the weight instead of the qualitative concept of ontology. The proposed knowledge map visualization can monitor the relationship and relevance (weight) of the related knowledge level at a glance, so that it is possible to intuitively grasp the result with the quantitative knowledge diagnosis and to improve the efficiency of knowledge evaluation and the accurate evaluation of knowledge diagnoses.
- Subjects :
- Structure (mathematical logic)
General Computer Science
Artificial neural network
Computer science
business.industry
Deep learning
Knowledge level
05 social sciences
Computational intelligence
02 engineering and technology
Machine learning
computer.software_genre
Visualization
0502 economics and business
0202 electrical engineering, electronic engineering, information engineering
Ontology
020201 artificial intelligence & image processing
Relevance (information retrieval)
Artificial intelligence
Medical diagnosis
business
computer
050203 business & management
Subjects
Details
- ISSN :
- 18685145 and 18685137
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- Journal of Ambient Intelligence and Humanized Computing
- Accession number :
- edsair.doi...........98cc357e6c55cff4336de1b29dcc80d0