Visualizing Search History in Web Learning

Tolmachova, Tetiana; Xu, Luyan; Marenzi, Ivana; Gadiraju, Ujwal

doi:10.1007/978-3-030-35758-0_21

Cited by 1 publication

(2 citation statements)

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“…However, there is a high demand for personalisation and assisting collaboration in smart learning environments, and this study indicates that features developed with an explicit focus the collaboration support could be beneficial and preferred by users. On the other hand, the CollabGraph, as well as previously suggested graph models for search history results [5,6], come to complement existing standards in e-learning platforms rather than replacing existing features.…”

Section: A Connections With Previous Workmentioning

confidence: 99%

“…In this perspective, to support human learning, web search engines have to be optimised not only in terms of retrieval algorithms but also in terms of user interface that can facilitate knowledge acquisition by learners. Visualising learners' search history, including the sequence of search sessions and results, as well as the related concepts and their relationships, can help learners re-construct the knowledge acquired in the explorative search process [5].…”

Section: Introductionmentioning

confidence: 99%

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CollabGraph: A Graph-Based Collaborative Search Summary Visualization

Ilkou

Tolmachova

Fisichella

et al. 2023

IEEE Trans. Learning Technol.

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Currently, the search history in search engines is presented in a list view of some combination of enumerated results by title, url or search query. However, this classical list view is not ideal in collaborative search environments as it does not always assist users in understanding collaborators' search history results and the project's status. We present CollabGraph, a system for graph-based summary visualisation in collaborative search learning environments. Our system differentiates from existing solutions by visualising the summary of the collaboration results in a graph and having its core Personal Knowledge Graphs (PKGs) for each user. Our research questions concentrate around the CollabGraph's usefulness, preference, and enhancement of participation of student's and teacher's feedback compared to the list view of search history results. We evaluate our approach with an online questionnaire in 6 different project-based Search as Learning (SaL) scenarios. The evaluation of users' experience indicates that the CollabGraph is useful, highly likeable and could benefit users' participation and teacher's feedback by providing more precise insights into the project status. Our approach helps users better perceive about everyone's work, and it is a highly preferable feature alongside the list view. Also, the results demonstrate that graph summary visualisations, such as the CollabGraph, are more suitable for closed-end scenarios and collaborative projects with many participants.

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Section: A Connections With Previous Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%