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Blended Learning for Improving Flexibility of Learning Structure Query Language (SQL)

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Blended Learning. New Challenges and Innovative Practices (ICBL 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10309))

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Abstract

The Structural Query Language (SQL) is the popular language used for managing and retrieving data and information from relational databases. To support the decision making for healthcare professionals including pharmacists, learning SQL is one of an important topic in a database course. The objective of this research was to introduce blended learning for improving flexibility of learning SQL. The learning process was discussed and planned. Contents in this topic and examples of relational databases were designed and implemented. The SQLite was selected as a relational database management system due to its flexibility of using and managing. After a face-to-face class, students could practice their exercises with any of their computing devices, i.e., computers, tablets and smartphones. Moreover, these devices could operate with or without Internet connection. Students could practice and manage their exercises at any time and from anywhere. With evaluations from students, the results showed that the flexibility of the system enhanced their ability for learning SQL.

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Acknowledgments

This work was supported by Instructional Innovation Development Project, Silpakorn University (2016).

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Authors and Affiliations

  1. Faculty of Pharmacy, Silpakorn University, Nakhon Pathom, 73000, Thailand

    Verayuth Lertnattee & Perayot Pamonsinlapatham

Authors
  1. Verayuth Lertnattee
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  2. Perayot Pamonsinlapatham
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Corresponding author

Correspondence to Verayuth Lertnattee .

Editor information

Editors and Affiliations

  1. The Open University of Hong Kong , Hong Kong, Hong Kong

    Simon K.S. Cheung

  2. City University of Hong Kong , Hong Kong, China

    Lam-for Kwok

  3. Hong Kong Shue Yan University , Hong Kong, Hong Kong

    Will W.K. Ma

  4. The Open University of Hong Kong , Hong Kong, Hong Kong

    Lap-Kei Lee

  5. State University of New York at Oswego , Oswego, New York, USA

    Harrison Yang

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Lertnattee, V., Pamonsinlapatham, P. (2017). Blended Learning for Improving Flexibility of Learning Structure Query Language (SQL). In: Cheung, S., Kwok, Lf., Ma, W., Lee, LK., Yang, H. (eds) Blended Learning. New Challenges and Innovative Practices. ICBL 2017. Lecture Notes in Computer Science(), vol 10309. Springer, Cham. https://doi.org/10.1007/978-3-319-59360-9_30

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  • DOI: https://doi.org/10.1007/978-3-319-59360-9_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59359-3

  • Online ISBN: 978-3-319-59360-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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