A Concept Map-Based Learning Paths Automatic Generation Algorithm for Adaptive Learning Systems
Open Access
- 7 December 2018
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 7, 245-255
- https://doi.org/10.1109/access.2018.2885339
Abstract
A concept map is an important knowledge visualization tool in adaptive learning systems. The weak concepts of students can be identified by analyzing the concept maps to provide learning guidance and teaching suggestions to students and teachers. However, in the current researches, it is difficult to analyze effective information from the concept maps when the number of concepts is large and the associations between concepts are complicated. It rarely reflects the learning performance of different student groups, which do not reflect the characteristics of the adaptive learning systems. A learning path automatic generation algorithm, Learning paths generation (LPG) algorithm, for adaptive learning systems is proposed. The LPG algorithm fully considers the learning performance of different student groups. The concept maps with different learning features are generated by the clustering algorithm and association rules mining, and several simplified learning paths are generated by using the topological sorting algorithm. Experiments show that the LPG algorithm has a good discrimination for the student groups and can generate different learning paths according to the students’ learning performance.Funding Information
- National Natural Science Foundation of China (71672154)
- Humanities and Social Sciences Foundation of the Ministry of Education of China (16YJA630038)
- Southwest Jiaotong University (268SWJTU15WTD01)
- China Postdoctoral Science Foundation (2016M592697)
- Key Science and Technology Project of Shandong Province of China (2014GGH201022)
- Chang Jiang Scholars Program of China
This publication has 29 references indexed in Scilit:
- Constructing concept maps for adaptive learning systems based on data mining techniquesExpert Systems with Applications, 2013
- A topological sorting algorithm for large graphsACM Journal of Experimental Algorithmics, 2012
- Data clustering: 50 years beyond K-meansPattern Recognition Letters, 2009
- Application of automatically constructed concept map of learning to conceptual diagnosis of e-learningExpert Systems with Applications, 2009
- Automatically constructing concept maps based on fuzzy rules for adapting learning systemsExpert Systems with Applications, 2008
- Mining e-Learning domain concept map from academic articlesComputers & Education, 2008
- A New Inferential Test for Path Models Based on Directed Acyclic GraphsStructural Equation Modeling: A Multidisciplinary Journal, 2000
- Data clusteringACM Computing Surveys, 1999
- What are fuzzy rules and how to use themFuzzy Sets and Systems, 1996
- The concept map as a research and evaluation tool: Further evidence of validityJournal of Research in Science Teaching, 1994