2015 | OriginalPaper | Chapter
SNS Messages Recommendation for Learning Motivation
Authors : Sébastien Louvigné, Yoshihiro Kato, Neil Rubens, Maomi Ueno
Published in: Artificial Intelligence in Education
Publisher: Springer International Publishing
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Setting goals for learning enhances motivation and performance. This research shows that observing learning goals from peers on social networks allows learners to specify new learning purposes and to enhance the perception of their own expertise. This study consists of: 1) a model recommending goal-based messages from peers with diverse textual contents (i.e. purpose) for a same goal (e.g. mastering English), and 2) a Web-based implementation using an LDA (Latent Dirichlet Allocation) model, known as a highly accurate text latent topic model. The experiment was conducted by university students who expressed and evaluated their goals before observing similar/diverse messages from other peers. Results showed that observing the diversity of peers’ learning purposes is an important factor positively affecting intrinsic motivational attributes such as goal specificity and confidence to achieve the goal.