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Constructing a Smart Chinese International Learning Environment Based on Learning Analytics Technology

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Book cover Challenges and Solutions in Smart Learning

Part of the book series: Lecture Notes in Educational Technology ((LNET))

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Abstract

This essay applies the concept of Smart Learning based on learning analytics technology. The Chinese grammar self-adaptive-adjusting learning system works by constructing a user data set that records the learners’ learning behavior and progress, then uses the date to collect on an adaptive mechanism to provide learners with advices, suitable exercises, related questions based on the user model. By making design and implementation of Smart Learning environments, the system can also present a detailed information of the learner’s progress in a visual way.

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References

  1. Xianmin Yang.: The Connotation and Characteristics of Smart Education in Information Age (in Chinese). China Educational Technology. 324, 29–34 (2014)

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  2. Zhiting Zhu, Demei Shen.: Learning Analytics: the Scientific Power in Smart Education (in Chinese). e-Education Research. 241, 5–11 (2013)

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  3. Kekang He.: The New Development of “Learning Analytics Technology” in China (in Chinese). e-Education Research. 279, 7–13 (2016)

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  4. Ronghuai Huang.: Three Realms of Smart Education: Smart Learning Environment, ICT Teaching Model and Modern Educational System (in Chinese). Modern Distance Education Research. 132, 3–11 (2014)

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Acknowledgements

This paper is supported by 2015 Humanities and Social Sciences Fund Project of Chinese Ministry of Education (NO. 15YJAZH089). The project title is Empirical research of learning analytics in flipped classroom of teaching Chinese to speakers of other languages.

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Correspondence to Juan Xu .

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Xu, J., Shi, Y., Zhou, Y. (2018). Constructing a Smart Chinese International Learning Environment Based on Learning Analytics Technology. In: Chang, M., et al. Challenges and Solutions in Smart Learning. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-8743-1_5

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  • DOI: https://doi.org/10.1007/978-981-10-8743-1_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8742-4

  • Online ISBN: 978-981-10-8743-1

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