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[journal article]

dc.contributor.authorFaresta, Rangga Alifde
dc.date.accessioned2024-06-26T08:28:48Z
dc.date.available2024-06-26T08:28:48Z
dc.date.issued2024de
dc.identifier.issn2413-9009de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/94732
dc.description.abstractArtificial intelligence (AI) stands out as a relatively new yet rapidly expanding technological tool that is transforming the field of education. This paper examines the potential of Artificial Intelligence to assist students and teachers in personalised learning. The research methodology employed for this study is a literature review, providing an overview of the current knowledge on practical AI applications for personalised learning and insights into methodological developments in this research field. Based on the literature, the results of this research demonstrate that personalised learning effectively accommodates students' learning preferences and enhances academic performance. Therefore, it could significantly benefit students by accommodating their learning pace and style. In the Indonesian education system context, the integration of AI for personalised learning is already included in the Indonesia Artificial Intelligence National Plan framework. To support this plan, the authors employed a Personalized Learning Plan (PLP) to integrate AI into educational settings practically. However, a challenge in integrating AI into education for personalised learning is that course or class designers often pay insufficient attention to creating content that develops practical skills. This neglect of pedagogical and technical aspects has led students and teachers to perceive these systems as unresponsive to their learning preferences, fostering a sense of pessimism.de
dc.languageende
dc.subject.ddcBildung und Erziehungde
dc.subject.ddcEducationen
dc.subject.otherPersonalised learning; Adaptive learning; Indonesia educationde
dc.titleAI-Powered Education: Exploring the Potential of Personalised Learning for Students' Needs in Indonesia Educationde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalPath of Science
dc.source.volume10de
dc.publisher.countryMISCde
dc.source.issue5de
dc.subject.classozUnterricht, Didaktikde
dc.subject.classozCurriculum, Teaching, Didacticsen
dc.subject.thesozkünstliche Intelligenzde
dc.subject.thesozartificial intelligenceen
dc.subject.thesozIndonesiende
dc.subject.thesozIndonesiaen
dc.subject.thesozLehrmethodede
dc.subject.thesozteaching methoden
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10043031
internal.identifier.thesoz10042317
internal.identifier.thesoz10050864
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo3012-3022de
internal.identifier.classoz10614
internal.identifier.journal1570
internal.identifier.document32
internal.identifier.ddc370
dc.identifier.doihttps://doi.org/10.22178/pos.104-19de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
internal.dda.referencehttps://pathofscience.org/index.php/index/oai/@@oai:ojs.pathofscience.org:article/3100
ssoar.urn.registrationfalsede


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