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Abstract

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In this paper, we show findings through a data-content analysis of 555 abstracts of articles published in 2013 from five major journals in the field of technology-enhanced learning. The data analysis, using WordStat 6.0 software, followed two main steps. Firstly, a descriptor dictionary was built, and secondly, the frequency and clusters of descriptors were calculated. The theoretical review of previous studies reveals four types of reference topics: technology, environments and applications; processes and learning outcomes; learning activities; and subjects. The analysis of the abstracts reveals two great lines of research. The first is related to technology, including virtual learning environments, game-based learning, mobile learning and learning through communication technologies. The second is related to learning content and includes engineering, mathematics, science, reading and writing.

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Research trends in technology-enhanced learning / Tendencias de la investigación en el aprendizaje favorecido por la tecnología

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