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[journal article]

dc.contributor.authorHoyer, Johannes vonde
dc.contributor.authorHoppe, Anettde
dc.contributor.authorKammerer, Yvonnede
dc.contributor.authorOtto, Christiande
dc.contributor.authorPardi, Georgde
dc.contributor.authorRokicki, Markusde
dc.contributor.authorYu, Rande
dc.contributor.authorDietze, Stefande
dc.contributor.authorEwerth, Ralphde
dc.contributor.authorHoltz, Peterde
dc.date.accessioned2023-08-16T08:23:08Z
dc.date.available2023-08-16T08:23:08Z
dc.date.issued2022de
dc.identifier.issn1664-1078de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/88557
dc.description.abstractUsing a Web search engine is one of today's most frequent activities. Exploratory search activities which are carried out in order to gain knowledge are conceptualized and denoted as Search as Learning (SAL). In this paper, we introduce a novel framework model which incorporates the perspective of both psychology and computer science to describe the search as learning process by reviewing recent literature. The main entities of the model are the learner who is surrounded by a specific learning context, the interface that mediates between the learner and the information environment, the information retrieval (IR) backend which manages the processes between the interface and the set of Web resources, that is, the collective Web knowledge represented in resources of different modalities. At first, we provide an overview of the current state of the art with regard to the five main entities of our model, before we outline areas of future research to improve our understanding of search as learning processes.de
dc.languageende
dc.subject.ddcPublizistische Medien, Journalismus,Verlagswesende
dc.subject.ddcNews media, journalism, publishingen
dc.subject.otherpsychology; human-computer interaction; knowledge gain; ranking algorithms; search as learning; search engine interface; web searchde
dc.titleThe Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learningde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.identifier.urllocalfile:/var/tmp/crawlerFiles/deepGreen/d7654fd4a8a249378c4cee01621ad125/d7654fd4a8a249378c4cee01621ad125.pdfde
dc.source.journalFrontiers in Psychology
dc.source.volume13de
dc.publisher.countryCHEde
dc.subject.classozInformationswissenschaftde
dc.subject.classozInformation Scienceen
dc.subject.thesozInternetde
dc.subject.thesozInterneten
dc.subject.thesozInformationsgewinnungde
dc.subject.thesozinformation captureen
dc.subject.thesozSuchmaschinede
dc.subject.thesozsearch engineen
dc.subject.thesozinformation retrievalde
dc.subject.thesozinformation retrievalen
dc.subject.thesozMenschde
dc.subject.thesozhuman beingen
dc.subject.thesozComputerde
dc.subject.thesozcomputeren
dc.subject.thesozRankingde
dc.subject.thesozrankingen
dc.subject.thesozAlgorithmusde
dc.subject.thesozalgorithmen
dc.identifier.urnurn:nbn:de:0168-ssoar-88557-5
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionGESIS
internal.statusformal und inhaltlich fertig erschlossende
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dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
internal.identifier.classoz1080500
internal.identifier.journal790
internal.identifier.document32
internal.identifier.ddc070
dc.identifier.doihttps://doi.org/10.3389/fpsyg.2022.827748de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
ssoar.wgl.collectiontrue
internal.dda.referencecrawler-deepgreen-188@@d7654fd4a8a249378c4cee01621ad125


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