When working with e-learning such as video-based e-learnings or social learning within a company, unequivocally large amounts of data will arise. The aim of learning analytics, which is a relatively young discipline, is to analyze these large amounts of data to optimize the learning process as well as the learning environment. In this, learner-specific datasets will be analyzed and interpreted in order to improve individual learning processes. Learning analytics therefore tries to generate predictions from data, which e.g. can be accessed from learning management systems, to customize the learning environment, the learning content as well as tasks according to the knowledge and competence level and the habits of the learners.
Learning analytics offers learners interpretations on the basis of their learning data. This allows to identify learning processes and possible problems. Based on these data as well as the corporate strategy further learning processes, learning objectives and development opportunities can be developed.
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