In this paper, we present an open architecture that combines different SQL learning tools in an integrated Exploratorium for database courses. The integrated Exploratorium provides a unique learning environment that allows database students to take complimentary advantages of multiple advanced learning tools.
In a recent study, we discovered a new effect of adaptive navigation support in the context of E-learning: the ability to motivate student to work more with non-mandatory educational content. The results presented in this paper extend the limits of our earlier findings. We describe the implementation of adaptive navigation support for the SQL domain, and… (More)
Rich, interactive eLearning tools receive a lot of attention nowadays from both practitioners and researchers. However, broader dissemination of these tools is hindered by the technical difficulties of their integration into existing platforms. This article explores the technical and conceptual problems of using several interactive educational tools in the… (More)
This paper aims to combine information about users' self-defined social connections with traditional collaborative filtering (CF) to improve recommendation quality. Specifically, in the following, the users' social connections in consideration were groups. Unlike other studies which utilized groups inferred by data mining technologies, we used the… (More)
This paper aims to examine whether users' watching networks can improve collaborative filtering-based recommendations (CF). Watching networks are established by users upon their perceived usefulness or interests about other users' information collections. The networks do not require mutual agreement between a watching party and a watched party. The typical… (More)
Recommender systems have explored a range of implicit feedback approaches to capture users' current interests and preferences without intervention of users' work. However, the problem of implicit feedback elicit negative feedback, because users mainly target information they want. Therefore, there have been few studies to test how effective negative… (More)
In this paper, we examine the degree of difference between two types of metadata for biomedical articles generated by different groups of people. The first type of metadata is social tags, which are assigned to articles by their readers using uncontrolled vocabulary. The second type is index terms, which are assigned by professionally trained indexers and… (More)
— This paper investigates various recommendation algorithms to recommend relevant talks to attendees of research conferences. We explored three sources of information to generate recommendations: users' preference about items (i.e. talks), users' social network and content of items. In order to find out what is the best recommendation approach, we explored… (More)