Preferences of Users on Cross-Site OER Recommendations: Stay or Leave?
published: Nov. 14, 2019, recorded: October 2019, views: 36
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In education we can find different open educational resource (OER) providers that are serving resources in different modalities, formats and languages. These providers can be the actual resource creators or re-distributors that redirect the user to the actual provider. In recent work, we developed a recommendation engine which provides content-based recommendations from multiple resource providers, enabling the users to navigate between the providers and their resources. In this paper, we investigate the users’ choice on the recommended items focusing on the cross-site user learning activities. The results show that the users tend to stay on the same website and not choose the first item in the recommendation list.
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