2013
DOI: 10.3991/ijet.v8i3.2731
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A Survey on LMS Context Dimensions for Teacher-Oriented Recommender Systems

Abstract: Abstract-In formal education, a majority of e-learning courses is still conducted in a learning management system (LMS). Teachers and authors of educational resources can make use of context-aware recommender systems, which would recommend relevant learning objects to be included in the course. Context data can be obtained, among other sources, from an existing learning environment. This paper describes a two-phase survey of four LMSs -Chamilo, Claroline, Ilias and Moodle -and their characteristics suitable fo… Show more

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Cited by 1 publication
(5 citation statements)
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(14 reference statements)
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“… Hybrid Methods: Combined both above methods. [29], [30], [16], [31] , [32], [33], [34], [20] Model-based methods [35], [36], [37], [12], [22], [18], [17], [38], [39], [15] , [20], [21] Hybrid Methods [40], [36], [19], [41], [42], [43], [44] In collaborative RS in education, model-based method is the most prefered as shiwn in Table II. Among the methods used are Tag-based [40], clustering [18], [22], data mining [17], [12], [39], [28] iterative method [45], Learner"s Role based Multi-Dimensional [21], and 2-Tuple fuzzy linguistic approach [15], [20] [38].…”
Section: B Collaborative Filtering Methodsmentioning
confidence: 99%
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“… Hybrid Methods: Combined both above methods. [29], [30], [16], [31] , [32], [33], [34], [20] Model-based methods [35], [36], [37], [12], [22], [18], [17], [38], [39], [15] , [20], [21] Hybrid Methods [40], [36], [19], [41], [42], [43], [44] In collaborative RS in education, model-based method is the most prefered as shiwn in Table II. Among the methods used are Tag-based [40], clustering [18], [22], data mining [17], [12], [39], [28] iterative method [45], Learner"s Role based Multi-Dimensional [21], and 2-Tuple fuzzy linguistic approach [15], [20] [38].…”
Section: B Collaborative Filtering Methodsmentioning
confidence: 99%
“…Examples are recommendation of activity class for multi-label classification [16]. formalize the weighting of the recommendations [36], used of set of context model [30], recommendation of feasible learning goals that covering the learning needs [45], recommendations to courseware authors using association rule mining and collaborative filtering [45], recommendation system according to readers" interest and books properties [35], recommendation of e-learning recommender systems [41], and recommendation to read lessons based on the recommender scores [5]  Ranking -It is presented in the form of ordering list.…”
Section: B Collaborative Filtering Methodsmentioning
confidence: 99%
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