Recommender Systems Handbook 2015
DOI: 10.1007/978-1-4899-7637-6_12
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Panorama of Recommender Systems to Support Learning

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Cited by 178 publications
(137 citation statements)
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References 99 publications
(48 reference statements)
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“…Although recommender systems are becoming more popular with the aim of supporting learning (Drachsler et al, 2015), few approaches have been applied to the educational context of collaborative learning. Bieliková et al (2014) proposed the platform ALEF for adaptive collaborative learning.…”
Section: Collaborative Learning Improvementsmentioning
confidence: 99%
See 1 more Smart Citation
“…Although recommender systems are becoming more popular with the aim of supporting learning (Drachsler et al, 2015), few approaches have been applied to the educational context of collaborative learning. Bieliková et al (2014) proposed the platform ALEF for adaptive collaborative learning.…”
Section: Collaborative Learning Improvementsmentioning
confidence: 99%
“…We would like to point out this issue. The objective of the tool is not to offer a recommendation such as a learning object or an exercise, which the students A C C E P T E D M A N U S C R I P T could study or make; that is the typical objective of recommender systems in other learning experiences (Drachsler et al, 2015). The objective of the tool proposed in this paper is to show the analysis to promote the sensemaking of the students and teachers.…”
Section: Introductionmentioning
confidence: 98%
“…As technology is used in different learning scenarios, so also have recommender systems been used to support different learning scenarios. The main aim of recommender systems in TEL can be summarized as supporting learners during their learning process in order to accomplish their learning goals [9], [10]. A recent survey of TEL recommender systems can be found in [9] and an overview of research trends and applications of recommender systems for TEL in [11].…”
Section: Recommender Systems For Telmentioning
confidence: 99%
“…To deepen on this approach, there are reviews of Intelligent Tutoring Systems (Kulik & Fletcher, 2015) and Educational Recommender Systems (Drachsler, Verbert, Santos, & Manouselis, 2015). As of some years ago, adaptive educational systems are being enriched with affective computing features (Picard et al, 2004), so they can also respond affectively to the learners' emotions when personalizing their response.…”
Section: Introductionmentioning
confidence: 99%