Artificial Intelligence Methods In Software Testing (Series in Machine Perception & Artifical Intelligence " Vol. 56)
Characterising effective eLearning resources
Computers & Education
Constrained Clustering: Advances in Algorithms, Theory, and Applications
Constrained Clustering: Advances in Algorithms, Theory, and Applications
Behaviour & Information Technology
Automated semantic elaboration of web site information architecture
Interacting with Computers
The use of modality in the design of verbal aids in computer-based learning environments
Interacting with Computers
Cluster Analysis
Using multimedia to teach the theory of digital multimedia signals
IEEE Transactions on Education
Using an integrated platform for learning™ to reinvent engineering education
IEEE Transactions on Education
A Digital Signal Processing Teaching Methodology Using Concept-Mapping Techniques
IEEE Transactions on Education
IEEE Transactions on Education
Validating E-learning factors affecting training effectiveness
International Journal of Information Management: The Journal for Information Professionals
Unifying heterogeneous e-learning modalities in a single platform: CADI, a case study
Computers & Education
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The widespread availability of digital learning resources in a variety of media formats has promoted the proliferation of eLearning systems as an integral part of teaching across all sectors of education. However, these systems are rarely planned in advance taking into account its final usefulness. At most, they are validated through learner experience using the final implemented system. In this paper, a scientific technique called concept mapping is proposed to identify the external variables that should be kept in mind while designing an eLearning tool. As a result, improvements can be programmed to increase its utility in the teaching activities prior to its use. The method has been tested in the development of a eLearning system used for advanced microprocessor teaching. Results are shown through two-dimensional maps, in which variables can be seen as clusters or groups of ideas. These variables can be used as a guide for developing an eLearning tool. The reliability of the results is also analyzed to check the correct application of the proposed technique.