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International Conference on Innovative Techniques and Applications of Artificial Intelligence

SGAI 2020: Artificial Intelligence XXXVII pp 3–17Cite as

Exposing Students to New Terminologies While Collecting Browsing Search Data (Best Technical Paper)

Part of the Lecture Notes in Computer Science book series (LNAI,volume 12498)

Abstract

Information overload is a well-known problem that generally occurs when searching for information online. To reduce this effect having prior knowledge on the domain and also a searching strategy is critical. Obtaining such qualities can be challenging for students since they are still learning about various domains and might not be familiar with the domain-specific keywords. In this paper, we are proposing a framework that aims to assist students to have a richer list of keyphrases that are pertinent to a domain under study and provide a mechanism for lectures to understand what search strategies their students are adopting. The proposed framework includes a Google Chrome Extension, a background and a remote server. The Google Chrome Extension is utilized to collect, process browsing data and generate reports containing keyphrases searched by students. The results of the user evaluation were compared with a similar framework (TextRank). The results indicate that our framework performed better in terms of accuracy of keyphrases and response time.

Keywords

  • Searching strategy
  • Keyphrase extraction
  • Exposing knowledge

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  • DOI: 10.1007/978-3-030-63799-6_1
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Notes

  1. 1.

    http://community.nzdl.org/kea/.

  2. 2.

    https://developer.chrome.com/extensions.

  3. 3.

    https://www.nltk.org/.

  4. 4.

    https://www.sqlite.org/index.html.

  5. 5.

    https://www.graphviz.org/.

  6. 6.

    https://pypi.org/project/pytextrank/.

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Author information

Authors and Affiliations

  1. Middlesex University Malta, Pembroke, Malta

    Omar Zammit & Clifford De Raffaele

  2. Middlesex University, London, UK

    Serengul Smith & David Windridge

Authors
  1. Omar Zammit
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  2. Serengul Smith
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  3. David Windridge
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  4. Clifford De Raffaele
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Corresponding authors

Correspondence to Omar Zammit , Serengul Smith , David Windridge or Clifford De Raffaele .

Editor information

Editors and Affiliations

  1. School of Computing, University of Portsmouth, Portsmouth, UK

    Prof. Max Bramer

  2. RKE Consulting, Micheldever, UK

    Richard Ellis

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Zammit, O., Smith, S., Windridge, D., De Raffaele, C. (2020). Exposing Students to New Terminologies While Collecting Browsing Search Data (Best Technical Paper). In: Bramer, M., Ellis, R. (eds) Artificial Intelligence XXXVII. SGAI 2020. Lecture Notes in Computer Science(), vol 12498. Springer, Cham. https://doi.org/10.1007/978-3-030-63799-6_1

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  • DOI: https://doi.org/10.1007/978-3-030-63799-6_1

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