Universitatea „Lucian Blaga” din Sibiu; “Lucian Blaga” University of Sibiu
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Integrating emotional linguistic attributes in eLearning designs
Recent advancements in big data exploration and affective computing open new avenues for the improvement of curriculum design. The paper places forward an argument for measuring emotional attributes within the construct of class forum discussions facilitated by educational platforms. The psycholinguistic features of the user can be translated into key performance indicators and be integrated into a learning analytics business model. Such a design can monitor the optimal threshold levels of academic achievement as well as signal the potential anomalies. The architecture can support the development of adaptive and personalized learning models based on the psycholinguistic profile of the student. Such a design could render competitive advantages both on the student retention level as well as on the student enrollment strategy.
Keywords: personalized learning, adaptive learning, educational data mining, curriculum design, learning analytics, educational performance prediction, key performance indicators
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