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Other literature type . 2024
License: CC BY
Data sources: ZENODO
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Presentation . 2024
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
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KI im Spracherwerb der historischen Sprache Latein

Authors: Beyer, Andrea;

KI im Spracherwerb der historischen Sprache Latein

Abstract

Der Vortrag befasst sich mit der Rolle und den Einsatzmöglichkeiten von Künstlicher Intelligenz (KI) beim Erwerb der historischen Sprache Latein. Die Präsentation gliedert sich in vier Abschnitte: Grundlagen: Es erfolgt eine Einführung in die Termini KI, Spracherwerb und Latein. Dabei werden die Besonderheiten des Lateinischen als historische Sprache und die spezifischen Herausforderungen beim Spracherwerb dargestellt. KI-Bildung (Bildungswissenschaft): Es werden verschiedene Kompetenzbereiche der KI-Bildung vorgestellt und anhand eines Fallbeispiels für den Lateinunterricht konkretisiert. Spracherwerb (Psycholinguistik): Es werden Möglichkeiten aufgezeigt, wie KI zur Modellierung des lateinischen Spracherwerbs genutzt werden kann, etwa durch den Transfer moderner Erwerbsstufenmodelle oder die Entwicklung von Personas zur Generierung synthetischer Sprachdaten. KI als Tutor (Didaktik): Es erfolgt ein knapper Überblick über den Einsatz von KI-Chatbots als Tutor und Intelligente Tutoring Systeme (ITS). Dabei werden Themen wie individualisierte Lernunterstützung, adaptives Feedback und personalisierte Lernpfade angeschnitten.

Related Organizations
Keywords

Language Acquisition, Latin, AI, Historical Language

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green