Liliana Argotte-Ramos

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One of the characteristics of e-learning is that students can acquire knowledge in different ways or with different learning paths, also called sequencing models. These sequencing patterns can be predefined by an expert from the type of learner or may be adaptive to the specific situation of each student. This paper analyzes the SCORM sequencing and(More)
This paper shows the creation of the adaptive SCORM sequencing models, taking advantage of the latest developments offered by the artificial intelligence field, to provide the best choice to the student, based in learning objects, using a tutor model in self learning. The Tutor uses decision networks also called influence diagrams, to improve the(More)
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