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What is Learning Path

Handbook of Research on E-Assessment in Higher Education
A collection of learning situations that the learner takes in a certain period of time, it could be composed of a pretest, a learning activity or an evaluation.
Published in Chapter:
Combining the Overlay Model and Bayesian Networks to Determine Learning Styles in AHES
Mouenis Anouar Tadlaoui (Abdelmalek Essaâdi University, Morocco), Rommel Novaes Carvalho (University of Brasília, Brazil), and Mohamed Khaldi (Abdelmalek Essaâdi University, Morocco)
Copyright: © 2019 |Pages: 24
DOI: 10.4018/978-1-5225-5936-8.ch008
Abstract
First of all, it is important to note that the work presented here lies within the modeling part of the learner in an adaptive educational system construed as computational modeling of the learner. Modeling the learner in adaptive systems involves different information such as knowledge of the domain, the performance of the learning goals, background, learning styles, etc. Although there are several methods to manage the learner model, like the stereotype model or learner profiles, they do not handle the uncertainty in the dynamic modeling of the learner. The main hypothesis of this work is to show the link between the structure of the learner model and especially the characteristics of a learning profile and the learning style of a learning situation. This chapter shows how the combination of these two approaches to learner modeling can address the dynamic aspect of the problem in the modeling of the learner.
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The Determination of Learning Styles in a Learner Model Using the Combination of Bayesian Network and the Overlay Model
A collection of learning situations that the learner takes in a certain period of time; it could be composed of a pretest, a learning activity, or an evaluation.
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A Learner Model Based on Bayesian Networks in Adaptive Educational Hypermedia Systems
A collection of learning situations that the learner takes in a certain period of time; it could be composed of a pretest, a learning activity or an evaluation.
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A Comparative Study of the Functionalities and Characteristics of a Learner Model in Adaptive Hypermedia Educational Systems
A collection of learning situations that the learner takes in a certain period of time; it could be composed of a pretest, a learning activity, or an evaluation.
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Learning Design Based on Personal Paths and Learning Sequences for Activation, Development, and Closure in Teaching
A sequence of activities with objectives designed to help learners build their knowledge or skills in a subject área.
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A Comparative Study of the Modeling Techniques and Models of a Learner Model in Adaptive Hypermedia Educational Systems
A collection of learning situations that the learner takes in a certain period of time; it could be composed of a pretest, a learning activity, or an evaluation.
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Learning Path Recommendation Method Based on Knowledge Map
An effective way to provide the necessary knowledge and skills for job seekers by applying random walk method.
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Implementation of a Personalized Online Learning System Towards Creating Hybrid Learning and Teaching in Chemistry Classes
A selection of courses tied together for learners to progress through, mastering a particular subject or program.
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