dc.contributor.author | Mütterlein, Joschka | de |
dc.contributor.author | Ranner, Tamara | de |
dc.contributor.author | Müller, Mareike | de |
dc.date.accessioned | 2024-06-12T08:02:37Z | |
dc.date.available | 2024-06-12T08:02:37Z | |
dc.date.issued | 2024 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/94449 | |
dc.description.abstract | The rapid technological progress in artificial intelligence (AI) has placed universities in a field of tension in which regulation and the urgently needed teaching of AI skills must be balanced. The discussion often neglects the unique position that universities can offer as a protected space for testing, making mistakes, and learning. After all, one of the fundamental tasks of a
university is to prepare students for highly qualified jobs in life after graduation, and AI has already become an integral part of this. | de |
dc.language | en | de |
dc.subject.ddc | Technik, Technologie | de |
dc.subject.ddc | Technology (Applied sciences) | en |
dc.subject.ddc | Bildung und Erziehung | de |
dc.subject.ddc | Education | en |
dc.subject.other | student experience; learning outcomes | de |
dc.title | Artificial Intelligence at Universities: Impact on Grades, Student Experience, and Teaching | de |
dc.description.review | nicht begutachtet | de |
dc.description.review | not reviewed | en |
dc.publisher.country | DEU | de |
dc.publisher.city | München | de |
dc.subject.classoz | Technikfolgenabschätzung | de |
dc.subject.classoz | Technology Assessment | en |
dc.subject.classoz | Bildungswesen tertiärer Bereich | de |
dc.subject.classoz | University Education | en |
dc.subject.thesoz | künstliche Intelligenz | de |
dc.subject.thesoz | artificial intelligence | en |
dc.subject.thesoz | Universität | de |
dc.subject.thesoz | university | en |
dc.subject.thesoz | Hochschulbildung | de |
dc.subject.thesoz | university level of education | en |
dc.subject.thesoz | Student | de |
dc.subject.thesoz | student | en |
dc.subject.thesoz | Lernen | de |
dc.subject.thesoz | learning | en |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10043031 | |
internal.identifier.thesoz | 10046729 | |
internal.identifier.thesoz | 10039336 | |
internal.identifier.thesoz | 10037271 | |
internal.identifier.thesoz | 10042988 | |
dc.type.stock | monograph | de |
dc.type.document | Arbeitspapier | de |
dc.type.document | working paper | en |
dc.source.pageinfo | 22 | de |
internal.identifier.classoz | 20800 | |
internal.identifier.classoz | 10610 | |
internal.identifier.document | 3 | |
dc.contributor.corporateeditor | Macromedia University of Applied Sciences | |
internal.identifier.corporateeditor | 1414 | |
internal.identifier.ddc | 600 | |
internal.identifier.ddc | 370 | |
dc.identifier.doi | https://doi.org/10.56843/jm001tr002 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 3 | |
dc.subject.classhort | 20800 | de |
internal.pdf.valid | false | |
internal.pdf.wellformed | true | |
internal.pdf.encrypted | false | |
ssoar.urn.registration | false | de |