Construction of Online Learner Adaptive Model Based on Learning Behavior Analysis
Abstract
With the large-scale development and application of online courses, online learning has become a main learning method for learners to acquire course knowledge. The analysis of a large amount of behavioral data generated during the online learning process of learners can provide a good understanding of the learning status and preferences of learners. This paper proposes an adaptive online learner model, which can dynamically monitor the learner's learning emotion, learning style, learning state and other characteristics, and predict the learner's learning effect, so as to timely intervene and warn the learner's online learning behavior.
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DOI: http://dx.doi.org/10.18686/ahe.v6i13.4706
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