Zusammenfassung
Bereits seit über einem halben Jahrhundert wird zur Entwicklung von Künstlicher Intelligenz (KI) geforscht und entwickelt. Durch die weltweite Vernetzung und Verfügbarkeit von Daten („big data“) und eine entsprechende Rechenkapazität der Computer sind heute Anwendungen und Methoden möglich geworden, die in den letzten Jahren verstärkt auch im Kontext des Lernens und Lehrens an Hochschulen diskutiert werden. Auf der Grundlage eines Systematic Reviews mit 146 inkludierten Studien wird in dem Beitrag ein Überblick über aktuelle Entwicklungen und potenzielle Anwendungsbereiche von AIEd (Artificial Intelligence in Education) gegeben. Hierbei wird auch eine kritische Perspektive zu den hiermit verbundenen ethischen und rechtlichen Herausforderungen eingenommen.
Der vorliegende Beitrag fasst Ergebnisse eines Systematic Reviews zusammen, das im International Journal of Educational Technology in Higher Education unter der Lizenz CC-BY veröffentlicht wurde: https://doi.org/10.1186/s41239-019-0171-0
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Wall Street Journal: https://twitter.com/wsj/status/1177357178975457285?s=21
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Zawacki-Richter, O., Marin, V., Bond, M., Gouverneur, F. (2020). Einsatzmöglichkeiten Künstlicher Intelligenz in der Hochschulbildung – Ausgewählte Ergebnisse eines Systematic Review. In: Fürst, R.A. (eds) Digitale Bildung und Künstliche Intelligenz in Deutschland. AKAD University Edition. Springer, Wiesbaden. https://doi.org/10.1007/978-3-658-30525-3_21
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