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Infret: Preliminary Findings of a Tool for Explorative Learning of Information Retrieval Concepts

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posted on 2024-10-31, 23:19 authored by Aleksandar Bobic, Christian Gutl, Christopher Cheong
To help students better understand concepts in an information search and retrieval (ISR) class using the Motivational Active Learning (MAL) peda- gogical approach, a tool called Infret was developed. It serves as the interactive experimentation and visualization component of MAL. The design of Infret is based on feedback collected from a testing session with a first proof of concept tool built in Java a year earlier. Infret was developed using Web technologies in order to have a simpler update process and be accessible from any Internet connected device with reasonable screen sizes (PC or tablet) without the need for manual installation. It was used and evaluated as part of a text statistics exercise in which students explored different properties of a text-based docu- ment collection. When students completed the exercise, they filled out a multi- part survey about Infret. Findings revealed that Infret helped participants gain a better understanding of text statistics and that the activity was well received by them. The usability score of Infret was 76.9, which indicates a usability level that is slightly above average and the emotions scale results were mostly pos- itive. Additionally, the most commonly experienced emotion by students was happiness followed by negative emotions such as sadness, anxiety and anger which were experienced almost none of the time. There were multiple improvement suggestions such as improving the responsiveness of the UI on small screens, offering the option to see the content of text collections and the addition of formula explanations. These suggestions will be considered for improving Infret in future versions. Additionally, students expressed they would like to use Infret in other areas of information retrieval and also in other subjects.

History

Start page

849

End page

865

Total pages

17

Outlet

Cross Reality and Data Science in Engineering

Editors

Michael E. Auer, Dominik May

Publisher

Springer

Place published

Switzerland

Language

English

Copyright

© Springer Nature Switzerland AG 2021

Former Identifier

2006102262

Esploro creation date

2020-11-10

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