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Digitale Lernangebote zum Thema Künstliche Intelligenz: Überblicksstudie zu kostenlosen Online-Kursen auf deutschen Lernplattformen

Authors: Mah, Dana-Kristin; Rampelt, Florian; Dufentester, Christian; Bernd, Mike; Gamst, Cornelia; Weygandt, Benedikt;

Digitale Lernangebote zum Thema Künstliche Intelligenz: Überblicksstudie zu kostenlosen Online-Kursen auf deutschen Lernplattformen

Abstract

Digitale Lernangebote zum Thema Künstliche Intelligenz (KI) nehmen in ihrer Bedeutung immer mehr zu. Dabei gibt es einerseits einen großen kommerziellen Markt mit unterschiedlichsten Lernformen. Andererseits bieten insbesondere internationale digitale Lernplattformen wie Coursera, Udacity oder edX auch zahlreiche Kurse kostenlos an, die auf internationalen Übersichtsseiten wie Class Central sichtbar und vergleichbar gemacht werden. In Europa und ganz besonders Deutschland besteht bisher aber kein Überblick zu kostenlosen digitalen Lernangeboten zum Thema Künstliche Intelligenz. Die vorliegende Studie will diese Lücke füllen und soll als erste Bestandsaufnahme (Stand: September 2020) einen Überblick zu kostenlosen Lernangeboten zum Thema Künstliche Intelligenz auf ausgewählten deutschen digitalen Lernplattformen bieten. Sie dient dabei insbesondere auch als Grundlage für die weitere Bedarfserhebung und Entwicklung von Lernangeboten im Projekt „KI-Campus – Die Lernplattform für Künstliche Intelligenz“. Im Fokus der vorliegenden Erhebung stehen digitale KI-Lernangebote für die Zielgruppen Studierende und lebenslang Lernende. Auf Basis der erhobenen Daten werden abschließend sieben zentrale Handlungsempfehlungen abgeleitet.

Keywords

EdTech, Lernangebote, AI Campus, KI, KI-Campus, Online-Kurs, KI-Kompetenz, Open Educational Resources, AI, Artificial Intelligence, Künstliche Intelligenz, OER, Lernplattform, Digitale Bildung

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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2
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56
93
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