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2020 | OriginalPaper | Buchkapitel

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

verfasst von : Omar Zammit, Serengul Smith, David Windridge, Clifford De Raffaele

Erschienen in: Artificial Intelligence XXXVII

Verlag: Springer International Publishing

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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.

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Titel: Exposing Students to New Terminologies While Collecting Browsing Search Data (Best Technical Paper)
verfasst von: Omar Zammit
Serengul Smith
David Windridge
Clifford De Raffaele
Verlag: Springer International Publishing
Buch: Artificial Intelligence XXXVII
Print ISBN: 978-3-030-63798-9

Electronic ISBN: 978-3-030-63799-6

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-63799-6_1

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