Infret: Enhancing a Tool for Explorative Learning of Information Retrieval Concepts

Aleksandar Bobic, Justin Filippou, Christopher Cheong, France Cheong, Christian Gütl

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

To help students better understand abstract information retrieval (IR) concepts and encourage students to explore new concepts, an existing Web-based IR tool called Infret was enhanced. Based on the feedback from a previous evaluation, the need for additional IR concepts and user tracking functionality was identified. The expanded Infret version was evaluated in a class of experienced students who were studying an information search and retrieval course and a class of nov-ice students who were studying a database design and development course. Both groups were working in different learning environments and were given two sim-ilar text statistics-based learning activities and four term weighting-based learning activities. At the end of the activities, both groups completed a multi-part survey. The results indicate that the novice students were more inclined to explore unre-lated IR concepts after using Infret. Additionally, both groups agreed that explor-ing the concepts using visualisations helped them more than just calculating the formulae manually. Furthermore, the results show that Infret successfully helps students understand concepts of text statistics and term weighting and was seen as useful by most students. The average system usability score (SUS) for the ex-perienced students was 69.8 and for novice students 57.7. These results indicate that Infret supports exploration and helps students get a better understanding of concepts, however, further improvements are required.
Original languageEnglish
Title of host publicationProceedings of ICL 2019 - The Challenges of the Digital Transformation in Education
PublisherSpringer
Number of pages12
Publication statusPublished - 2019

Fingerprint

information retrieval
learning
student
weighting
statistics
working group
functionality
visualization
learning environment
Group
evaluation

Fields of Expertise

  • Information, Communication & Computing

Cite this

Bobic, A., Filippou, J., Cheong, C., Cheong, F., & Gütl, C. (2019). Infret: Enhancing a Tool for Explorative Learning of Information Retrieval Concepts. In Proceedings of ICL 2019 - The Challenges of the Digital Transformation in Education Springer.

Infret: Enhancing a Tool for Explorative Learning of Information Retrieval Concepts. / Bobic, Aleksandar; Filippou, Justin; Cheong, Christopher ; Cheong, France ; Gütl, Christian.

Proceedings of ICL 2019 - The Challenges of the Digital Transformation in Education. Springer, 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Bobic, A, Filippou, J, Cheong, C, Cheong, F & Gütl, C 2019, Infret: Enhancing a Tool for Explorative Learning of Information Retrieval Concepts. in Proceedings of ICL 2019 - The Challenges of the Digital Transformation in Education. Springer.
Bobic A, Filippou J, Cheong C, Cheong F, Gütl C. Infret: Enhancing a Tool for Explorative Learning of Information Retrieval Concepts. In Proceedings of ICL 2019 - The Challenges of the Digital Transformation in Education. Springer. 2019
Bobic, Aleksandar ; Filippou, Justin ; Cheong, Christopher ; Cheong, France ; Gütl, Christian. / Infret: Enhancing a Tool for Explorative Learning of Information Retrieval Concepts. Proceedings of ICL 2019 - The Challenges of the Digital Transformation in Education. Springer, 2019.
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