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VisCa: A Dashboard System to Visualize Learning Activities from E-learning Platforms

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Emerging Technologies for Education (SETE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10108))

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Abstract

With the advance of ICT technology, the e-learning platform from higher education to K12 becomes increasingly prevalent in recent years. Furthermore, as the emerging trend of data science, several educational platforms have introduced learning analytics and data-driven learning in their system, leading to more adaptive and personalized learning services. Therefore, it is crucial time to develop a mechanism to manage and visualize the data of learning experience. To achieve this goal, we created a web-based dashboard system called VisCa to track, store, and show learning experience from e-learning platforms. The data model is based on the standard of Experience API (xAPI) to communicate with third-party platforms. The whole system brings a general framework for the data flow of learning experience, as well as supports the students and teachers to understand their leaning status. The development of this study will provide an infrastructure to collect the data of learning activities, which can be used for further learning analytics or data-driven learning in the future.

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Acknowledgements

This study is conducted under the “III Innovative and Prospective Technologies Project” of the Institute for Information Industry which is subsidized by the Ministry of Economy Affairs of the Republic of China.

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Correspondence to Chan-Hsien Lin .

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Lin, CH., Hu, SS., Lai, HY., Chiang, CF., Tseng, HC., Cheng, YC. (2017). VisCa: A Dashboard System to Visualize Learning Activities from E-learning Platforms. In: Wu, TT., Gennari, R., Huang, YM., Xie, H., Cao, Y. (eds) Emerging Technologies for Education. SETE 2016. Lecture Notes in Computer Science(), vol 10108. Springer, Cham. https://doi.org/10.1007/978-3-319-52836-6_44

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  • DOI: https://doi.org/10.1007/978-3-319-52836-6_44

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-52836-6

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