Search results

The personal learning environment driven approach to learning suggests a shift in emphasis from a teacher‐driven knowledge‐push to a learner‐driven knowledge‐pull learning model. One concern with knowledge‐pull approaches is knowledge overload. The concepts of collective intelligence and the Long Tail provide a potential solution to help learners cope with the problem of knowledge overload. The paper aims to address these issues.

Based on these concepts, the paper proposes a filtering mechanism that taps the collective intelligence to help learners find quality in the Long Tail, thus overcoming the problem of knowledge overload.

The paper presents theoretical, design, and implementation details of PLEM, a Web 2.0 driven service for personal learning management, which acts as a Long Tail aggregator and filter for learning.

The primary aim of PLEM is to harness the collective intelligence and leverage social filtering methods to rank and recommend learning entities.

This article describes in outline the different approaches used to support the management of information, information systems and information technology. It has a bias towards systems and technology, rather than information, if only because this is where most management effort is focused. Management information per se is neither frequently attempted nor easy.

The purpose of this investigation is to identify, evaluate, integrate and summarize relevant and qualified papers through conducting a systematic literature review (SLR) on the application of recommender systems (RSs) to suggest a scholarly publication venue for researcher's paper.

To identify the relevant papers published up to August 11, 2018, an SLR study on four databases (Scopus, Web of Science, IEEE Xplore and ScienceDirect) was conducted. We pursued the guidelines presented by Kitchenham and Charters (2007) for performing SLRs in software engineering. The papers were analyzed based on data sources, RSs classes, techniques/methods/algorithms, datasets, evaluation methodologies and metrics, as well as future directions.

A total of 32 papers were identified. The most data sources exploited in these papers were textual (title/abstract/keywords) and co-authorship data. The RS classes in the selected papers were almost equally used. DBLP was the main dataset utilized. Cosine similarity, social network analysis (SNA) and term frequency–inverse document frequency (TF–IDF) algorithm were frequently used. In terms of evaluation methodologies, 24 papers applied only offline evaluations. Furthermore, precision, accuracy and recall metrics were the popular performance metrics. In the reviewed papers, “use more datasets” and “new algorithms” were frequently mentioned in the future work part as well as conclusions.

Given that a review study has not been conducted in this area, this paper can provide an insight into the current status in this area and may also contribute to future research in this field.

Today's requirements concerning successful learning support comprise a variety of application scenarios. Therefore, the development of supporting software preferably aims at modular design. This article discusses requirements regarding flexibility of e‐learning systems and presents important principles, which should be met by successful systems. The purpose of this paper is to achieve a highly flexible system as follows: first of all, the system itself should be capable of easily being integrated into other systems. Second, the approach should allow easy integration of new components, respectively, existing resources without the need to adapt the whole system.

Guided by the results of previous projects and by various experiences in online education the importance of modular structures of an effective architecture as well as for the system usage were discovered. Accordingly, existing e‐learning systems were examined and some deficiency regarding support of synchronous learning activities were found.

The architecture of the Meeting Room Platform (MRP) is introduced as an example implementation of synchronous communication and collaboration systems. In addition to fulfilling explained flexibility requirements, it is configurable in a way so that the user can choose a set of services he wants to provide in online meetings.

With aforementioned aspects of flexibility in mind, the concept of the MRP system differs from existing systems and constitutes a new approach in designing synchronous e‐learning environments. Finally, various use cases as described in this article show the benefit of this approach more detailed.