Exposing Knowledge: Providing a Real-Time View of the Domain Under Study for Students

Abstract

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Reducing the dependency of having prior domain knowledge for effective online information retrieval

“…Using various normalization techniques as explained by Zammit et al (2019) the Background Server will clean the SERP HTML content and will extract automatically various keyphrases using a Keyphrase extraction function . Since this function can tend to extract a large number of keyphrases, a Ranking mechanism is used to select the top 10 most relevant keyphrases.…”

“…Since students are still learning, they are considered a novice in the domain under study (Tsai, 2009), and therefore they might lack background knowledge. Various studies tried to address this problem by proposing a Keyphrase assignment framework (Zammit et al, 2019) capable of suggesting keyphrases that one can use to perform effective online searches. Keyphrases consist of words included as parameters within a query string and submitted to search engines or websites with search capability (Usta et al, 2014).…”

“…A possible solution for an effective keyphrase assignment framework is to gather data and train a classification algorithm, but some authors outlined this as a disadvantage since it has a dependency on external documents (Gledec et al, 2019) and training requires time and effort. Educational Search Engines targeting a specific domain has also been suggested (Vidinli & Ozcan, 2016) but this might be a problem since students are already trusting a search engine of their choice, convincing them to move away from it might be challenging (Cheng & Tsai, 2017; Zammit et al, 2019). A framework that collects URLs visited by a student and using various similarity analysis finds previously searched keyphrases by the student was proposed in Zammit et al (2019).…”

“…Educational Search Engines targeting a specific domain has also been suggested (Vidinli & Ozcan, 2016) but this might be a problem since students are already trusting a search engine of their choice, convincing them to move away from it might be challenging (Cheng & Tsai, 2017; Zammit et al, 2019). A framework that collects URLs visited by a student and using various similarity analysis finds previously searched keyphrases by the student was proposed in Zammit et al (2019). This study was extended in Zammit et al (2020) with a framework that amongst others includes Keyphrase assignment functionality and can suggest new terminologies pertinent to the domain being researched by the student.…”