Abstract
This study elucidates issues related to using online vocabulary learning environments with collaborative filtering and functions for cognitive and social learning support in learner-centered learning, which requires learners to be self-regulated learners. The developed system provides learners with a vocabulary learning environment using online news as a test installation of functions. The system recommends news to each learner using a collaborative filtering algorithm. The system helps learners to use cognitive and social learning strategies such as underlining, along with a word-meaning display based on the learner’s vocabulary proficiency level. We investigated effects of the system on perceived usefulness and learning performance as a formative evaluation. Learners regarded this system as a useful tool for their language learning overall, but rated several functions low. Confirming the learning performance, the learner’s vocabulary proficiency level improved significantly.
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Yamada, M., Kitamura, S., Miyahara, S., Yamauchi, Y. (2009). Vocabulary Learning Environment with Collaborative Filtering for Support of Self-regulated Learning. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04592-9_65
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DOI: https://doi.org/10.1007/978-3-642-04592-9_65
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