dc.contributor.author | Hoyer, Johannes von | de |
dc.contributor.author | Hoppe, Anett | de |
dc.contributor.author | Kammerer, Yvonne | de |
dc.contributor.author | Otto, Christian | de |
dc.contributor.author | Pardi, Georg | de |
dc.contributor.author | Rokicki, Markus | de |
dc.contributor.author | Yu, Ran | de |
dc.contributor.author | Dietze, Stefan | de |
dc.contributor.author | Ewerth, Ralph | de |
dc.contributor.author | Holtz, Peter | de |
dc.date.accessioned | 2023-08-16T08:23:08Z | |
dc.date.available | 2023-08-16T08:23:08Z | |
dc.date.issued | 2022 | de |
dc.identifier.issn | 1664-1078 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/88557 | |
dc.description.abstract | Using 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.language | en | de |
dc.subject.ddc | Publizistische Medien, Journalismus,Verlagswesen | de |
dc.subject.ddc | News media, journalism, publishing | en |
dc.subject.other | psychology; human-computer interaction; knowledge gain; ranking algorithms; search as learning; search engine interface; web search | de |
dc.title | The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.identifier.url | localfile:/var/tmp/crawlerFiles/deepGreen/d7654fd4a8a249378c4cee01621ad125/d7654fd4a8a249378c4cee01621ad125.pdf | de |
dc.source.journal | Frontiers in Psychology | |
dc.source.volume | 13 | de |
dc.publisher.country | CHE | de |
dc.subject.classoz | Informationswissenschaft | de |
dc.subject.classoz | Information Science | en |
dc.subject.thesoz | Internet | de |
dc.subject.thesoz | Internet | en |
dc.subject.thesoz | Informationsgewinnung | de |
dc.subject.thesoz | information capture | en |
dc.subject.thesoz | Suchmaschine | de |
dc.subject.thesoz | search engine | en |
dc.subject.thesoz | information retrieval | de |
dc.subject.thesoz | information retrieval | en |
dc.subject.thesoz | Mensch | de |
dc.subject.thesoz | human being | en |
dc.subject.thesoz | Computer | de |
dc.subject.thesoz | computer | en |
dc.subject.thesoz | Ranking | de |
dc.subject.thesoz | ranking | en |
dc.subject.thesoz | Algorithmus | de |
dc.subject.thesoz | algorithm | en |
dc.identifier.urn | urn:nbn:de:0168-ssoar-88557-5 | |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
ssoar.contributor.institution | GESIS | |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10040528 | |
internal.identifier.thesoz | 10047368 | |
internal.identifier.thesoz | 10068114 | |
internal.identifier.thesoz | 10047326 | |
internal.identifier.thesoz | 10039869 | |
internal.identifier.thesoz | 10040178 | |
internal.identifier.thesoz | 10042956 | |
internal.identifier.thesoz | 10035039 | |
dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
internal.identifier.classoz | 1080500 | |
internal.identifier.journal | 790 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 070 | |
dc.identifier.doi | https://doi.org/10.3389/fpsyg.2022.827748 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
ssoar.wgl.collection | true | |
internal.dda.reference | crawler-deepgreen-188@@d7654fd4a8a249378c4cee01621ad125 | |