Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | CIKM 2021 |
| Untertitel | Proceedings of the 30th ACM International Conference on Information and Knowledge Management |
| Seiten | 4880-4881 |
| Seitenumfang | 2 |
| ISBN (elektronisch) | 9781450384469 |
| Publikationsstatus | Veröffentlicht - 30 Okt. 2021 |
| Veranstaltung | 30th ACM International Conference on Information and Knowledge Management, CIKM 2021 - Virtual, Online, Australien Dauer: 1 Nov. 2021 → 5 Nov. 2021 |
Abstract
Web search is one of the most ubiquitous online activities and often used as a starting point to learn, i. e., to acquire or extend one's knowledge about certain topics or procedures. When learning by searching the Web, individuals are confronted with an unprecedented amount of information in various forms and varying quality. Thus, successful learning on the Web requires high degrees of self-regulation and should be supported by the adequate design of search, recommendation, and training tools. This creates a highly interdisciplinary research area at the intersection of information retrieval, human-computer interaction, psychology, and educational sciences. Search as Learning (SAL) research examines the relationships between querying, navigation, media consumption behavior, and the learning outcomes during Web search, how they can be measured, predicted, and supported. Building on the growing SAL research community, IWILDS provides an interdisciplinary forum in a workshop that includes keynotes, paper presentations, and discussion. This year, IWILDS'21 specifically invites submissions focussing on challenges caused by the Covid-19 pandemic, investigating, for instance, health-related information acquisition on the Web and the pandemic-induced digitalization of formal learning.
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CIKM 2021: Proceedings of the 30th ACM International Conference on Information and Knowledge Management. 2021. S. 4880-4881.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - IWILDS'21
T2 - 30th ACM International Conference on Information and Knowledge Management, CIKM 2021
AU - Hoppe, Anett
AU - Yu, Ran
AU - Brich, Irina
AU - Liu, Jiqun
N1 - Funding Information: Some authors are financially supported by the Leibniz Association, Germany (Project SALIENT, Leibniz Competition 2018, "Collaborative Excellence").
PY - 2021/10/30
Y1 - 2021/10/30
N2 - Web search is one of the most ubiquitous online activities and often used as a starting point to learn, i. e., to acquire or extend one's knowledge about certain topics or procedures. When learning by searching the Web, individuals are confronted with an unprecedented amount of information in various forms and varying quality. Thus, successful learning on the Web requires high degrees of self-regulation and should be supported by the adequate design of search, recommendation, and training tools. This creates a highly interdisciplinary research area at the intersection of information retrieval, human-computer interaction, psychology, and educational sciences. Search as Learning (SAL) research examines the relationships between querying, navigation, media consumption behavior, and the learning outcomes during Web search, how they can be measured, predicted, and supported. Building on the growing SAL research community, IWILDS provides an interdisciplinary forum in a workshop that includes keynotes, paper presentations, and discussion. This year, IWILDS'21 specifically invites submissions focussing on challenges caused by the Covid-19 pandemic, investigating, for instance, health-related information acquisition on the Web and the pandemic-induced digitalization of formal learning.
AB - Web search is one of the most ubiquitous online activities and often used as a starting point to learn, i. e., to acquire or extend one's knowledge about certain topics or procedures. When learning by searching the Web, individuals are confronted with an unprecedented amount of information in various forms and varying quality. Thus, successful learning on the Web requires high degrees of self-regulation and should be supported by the adequate design of search, recommendation, and training tools. This creates a highly interdisciplinary research area at the intersection of information retrieval, human-computer interaction, psychology, and educational sciences. Search as Learning (SAL) research examines the relationships between querying, navigation, media consumption behavior, and the learning outcomes during Web search, how they can be measured, predicted, and supported. Building on the growing SAL research community, IWILDS provides an interdisciplinary forum in a workshop that includes keynotes, paper presentations, and discussion. This year, IWILDS'21 specifically invites submissions focussing on challenges caused by the Covid-19 pandemic, investigating, for instance, health-related information acquisition on the Web and the pandemic-induced digitalization of formal learning.
KW - educational psychology
KW - information retrieval
KW - search as learning
UR - http://www.scopus.com/inward/record.url?scp=85119189698&partnerID=8YFLogxK
U2 - 10.1145/3459637.3482034
DO - 10.1145/3459637.3482034
M3 - Conference contribution
AN - SCOPUS:85119189698
SP - 4880
EP - 4881
BT - CIKM 2021
Y2 - 1 November 2021 through 5 November 2021
ER -