Abstract:

Recent technologies have made it possible to collect miscellaneous and detailed digital data related to learning processes. Although the majority of these data consists of logs obtained from online learning environments, a diverse range of data such as image, sound or data from different sensors is also collected in this context. By virtue of the ease of collecting, storing and analyzing aforementioned data, it is observed that a paradigm shift has been experienced in the research questions, the data sources and the analysis methods of the educational research. As a concomitant of this shift, the studies largely based on self-report data are replaced by the studies depending on digital data collected from different sources. Methods from different disciplines such as data mining, artificial intelligence, natural language processing are pressed into service, when the data analysis is concerned. In the literature, these studies are gathered under the concept of learning analytics. There are several reference and process models in the literature to guide the studies in the field of learning analytics. The aim of this study is to review different well approved models in the literature and in accordance with the components in these models to propose a conceptual framework for the use of researchers.

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