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Constructing an Information Search Platform Using Data Mining to Improve Student Learning

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Innovative Technologies and Learning (ICITL 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12555))

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Abstract

There has been an ongoing proliferation of online articles and other materials on the World Wide Web for e-learning. Although a generic search engine can be used to find materials in a subject domain (for example, computer science,) the search results often have advertising, media, and news mixed in. To improve the search quality, in this study an information search platform based on data mining technology was constructed. Using term frequency-inverse document frequency (TF-IDF), this platform calculates all terms in each web article to automatically filter out non-computer science category keywords and articles. The search platform enables students quickly find and read information in articles for a given set of search keywords. The experimental results show improved learning performance with increased computer science knowledge and concepts and more computer science articles found using the information search platform by filtering out articles in non-computer science categories.

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Acknowledgements

This study is supported in part by Ministry of Science and Technology, Taiwan under Contract No. MOST 106-2511-S-218-001-MY3 and MOST 108-2511-H-218-004.

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, Southern Taiwan University of Science and Technology, Tainan, Taiwan

    Shu-Chen Cheng

  2. Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan

    Yu-Ping Cheng & Yueh-Min Huang

  3. Gabelli School of Business, Fordham University, New York, USA

    I. Robert Chiang

Authors
  1. Shu-Chen Cheng
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  2. Yu-Ping Cheng
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  3. Yueh-Min Huang
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  4. I. Robert Chiang
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Corresponding author

Correspondence to Yueh-Min Huang .

Editor information

Editors and Affiliations

  1. National Taichung University of Science and Technology, Taichung City, Taiwan

    Tien-Chi Huang

  2. National Yunlin University of Science and Technology, Douliou, Taiwan

    Ting-Ting Wu

  3. University of Trás-os-Montes and Alto Douro, Vila Real, Portugal

    João Barroso

  4. Oslo Metropolitan University, Oslo, Norway

    Frode Eika Sandnes

  5. University of Trás-os-Montes and Alto Douro, Vila Real, Portugal

    Paulo Martins

  6. National Cheng Kung University, Tainan City, Taiwan

    Yueh-Min Huang

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Cheng, SC., Cheng, YP., Huang, YM., Chiang, I.R. (2020). Constructing an Information Search Platform Using Data Mining to Improve Student Learning. In: Huang, TC., Wu, TT., Barroso, J., Sandnes, F.E., Martins, P., Huang, YM. (eds) Innovative Technologies and Learning. ICITL 2020. Lecture Notes in Computer Science(), vol 12555. Springer, Cham. https://doi.org/10.1007/978-3-030-63885-6_26

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  • DOI: https://doi.org/10.1007/978-3-030-63885-6_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63884-9

  • Online ISBN: 978-3-030-63885-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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