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Anno 2025. Das Annotationsspiel für große und kleine Forschende

Authors: Horstmann, Jan; Seltmann, Melanie;

Anno 2025. Das Annotationsspiel für große und kleine Forschende

Abstract

Kurzzusammenfassung: Annotation im Sinne einer semantischen Anreicherung von Untersuchungsgegenständen ist eines der zentralen Themen der Digital Humanities. Der Zentralität des Annotierens als geisteswissenschaftlicher Praktik entsprechend, fokussieren auch immer wieder Beiträge auf die didaktisch reflektierte Vermittlung der Methode Annotation. Seit längerem werden Spiele zur Wissensvermittlung eingesetzt, auch wenn Beispiele der DH rar gesät sind. Das Memoryspiel Anno 2025 widmet sich der spielerischen Vermittlung der vier Annotationsdimensionen nach Horstmann und Seltmann (2024): im engsten (Ergänzung einzelner Aspekte des Untersuchungsgegenstands), im engen (Metainformationen zum Untersuchungsgegenstand), im weiten (Analyse des Untersuchungsgegenstands) und im weitesten Sinne (Bezugnahme auf den Untersuchungsgegenstand). Das Poster stellt das Spielprinzip, didaktische und wissenschaftskommunikative Hintergründe sowie die Möglichkeit der eigenen Partizipation vor.

Keywords

Paper, Community-Bildung, Annotation, Annotieren, Kommunikation, Didaktik, Vermittlung, Theoretisierung, Methoden, Lehre, DHd2025, Poster, Theorie, Spiel, Gamifizierung

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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