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Titel:

Myths, mis- and preconceptions of artificial intelligence: A review of the literature

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Bewersdorff, Arne; Zhai, Xiaoming; Roberts, Jessica; Nerdel, Claudia
Abstract:
Artificial Intelligence (AI) is prevalent in nearly every aspect of our lives. However, recent studies have found a significant amount of confusion and misunderstanding surrounding AI. To develop effective educational programs in the field of AI, it is vital to examine and understand learners’ pre- and misconceptions as well as myths about AI. This study examined a corpus of 591 studies. 25 relevant studies were identified by applying the following eligibility criteria: English-written original...     »
Stichworte:
Misconceptions; Preconceptions; Review; Artificial Intelligence
Zeitschriftentitel:
Computers and Education: Artificial Intelligence
Jahr:
2023
Seitenangaben Beitrag:
100143
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1016/j.caeai.2023.100143
Verlag / Institution:
Elsevier BV
E-ISSN:
2666-920X
Publikationsdatum:
01.05.2023
Semester:
SS 23
TUM Einrichtung:
Professur für Fachdidaktik Life Sciences
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