CollabGraph: A Graph-Based Collaborative Search Summary Visualization

Autor/inn/en	Ilkou, Eleni; Tolmachova, Tetiana; Fisichella, Marco; Taibi, Davide
Titel	CollabGraph: A Graph-Based Collaborative Search Summary Visualization
Quelle	In: IEEE Transactions on Learning Technologies, 16 (2023) 3, S.382-398 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Ilkou, Eleni) ORCID (Tolmachova, Tetiana) ORCID (Fisichella, Marco) ORCID (Taibi, Davide)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
DOI	10.1109/TLT.2023.3242174
Schlagwörter	Graphs; Cooperative Learning; Search Strategies; Active Learning; Student Projects; Student Attitudes + Suchen Sie Ihr Suchwort? Grafische Darstellung; Kooperatives Lernen; Suchstrategie; Aktives Lernen; Schulprojekt; Schülerverhalten
Abstract	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 visualization in collaborative search learning environments. Our system differentiates from existing solutions by visualizing 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 six different project-based searching as learning (SaL) scenarios (LSs). 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. In addition, the results demonstrate that graph summary visualizations, such as the CollabGraph, are more suitable for closed-end scenarios and collaborative projects with many participants. (As Provided).
Anmerkungen	Institute of Electrical and Electronics Engineers, Inc. 445 Hoes Lane, Piscataway, NJ 08854. Tel: 732-981-0060; Web site: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4620076
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01