DTIC-MdM Strategic Program: Data-Driven Knowledge Extraction

During recent years, analytics or data mining techniques have been used to extract actionable information from large data quantities in an increasing variety of scientific fields. In the context of education, the use of technology to mediate activities in learning environments allows the collection of large data sets about student interactions. The area of learning analytics and educational data science have emerged to explore how this data can be used to increase the understanding and quality of learning experiences. The field has undergone a fast expansion phase and the use of data is now being considered in aspects such as for example student retention. Recent detailed analysis of the use of data in learning environments show an increasingly complex landscape influenced by multiple disciplines to deploy effective initiatives. Existing models…

Link to Full Article: DTIC-MdM Strategic Program: Data-Driven Knowledge Extraction

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