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Title:
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RESOURCE CONNECTIVISM IN E-LEARNING COURSES BASED ON AN ANALYTICAL TIME-GRAPH |
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Author(s):
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Guillaume Blot, Pierre Saurel, Francis Rousseaux |
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ISBN:
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978-989-8704-11-5 |
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Editors:
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Piet Kommers, Pedro Isaías, Claire Gauzente, Miguel Baptista Nunes, Guo Chao Peng and Mário Macedo |
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Year:
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2014 |
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Edition:
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Single |
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Keywords:
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Social graph, Temporal Network, E-learning, Connectivism, Prediction. |
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Type:
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Full Paper |
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First Page:
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13 |
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Last Page:
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20 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Nowadays, E-learning materials are somehow in phase with our requirements. But, looking in a depth-focus, we see that many courses suffer from a lack of sociability. Wikis, forums, e-portfolios and LMS (Learning Management System) try to offer connectivism within the main entities: learners, teachers and resources. The key is that in an E-learning environment, Social Interactions need to be handled with specific data structures. Here, in order to identify learner patterns, we propose a time-based method. Giving a set of users browsing data in entry, the presented analytical structure draws a resource visit timeline. We integrate all learner trajectories to build this timeline. As a result, we are in a position to find paths within courses. We are also discussing social improvement available from this starting point, such as recommendation and prediction algorithms. Moreover, our structure is related to other domains where it has been experimented. Therefore, we open the discussion with other related fields. |
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