Abstract. One of the main software engineers' competencies, solving software problems, is most effectively acquired through an active examination of learning resources and work on real-world examples in small development teams. This obviously indicates a need for an integration of several existing learning tools and systems in a common collaborative learning environment, as well as advanced educational services that provide students with right in time advice about learning resources and possible collaboration partners. In this paper, we present how we developed and applied a common ontological foundation for the integration of different existing learning tools and systems in a common learning environment called DEPTHS (Design Patterns Teaching Help System). In addition, we present a set of educational services that leverages semantic rich representation of learning resources and students' interaction data to recommend resource relevant for students' current learning context.
Motivated by a continually increasing demand for applications that depend on machine comprehension of text-based content, researchers, in both academia and industry, have developed innovative solutions for automated information extraction from text. In this article, we focus on a subset of such tools -i.e., semantic taggers -that not only extract and disambiguate entities mentioned in the text, but also identify topics that unambiguously describe the text's main themes. We offer insight into the process of semantic tagging, the capabilities and specificities of today's semantic taggers, and also indicate some of the criteria to be considered when choosing a tagger to use.
Teaching and learning software design patterns (DPs) is not an easy task. Apart from learning individual DPs and the principle behind them, students should learn how to apply them in real-life situations. Therefore, to make the learning process of DPs effective, it is necessary to include a project component in which students, usually in small teams, develop a medium-sized software application. Following this paradigm, and using active learning techniques, project-based learning (PBL) and collaborative learning (CL), we have developed a learning environment for software DPs which leverages semantic technologies to integrate several existing learning systems and tools.
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