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Influenced by the Group: AI Misinformation Detection by Prospective Teachers
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Author(s): Gamze Türkmen (Manisa Celal Bayar University, Turkey)
Copyright: 2026
Pages: 30
Source title:
Combatting Misinformation and Global Nation's False Narratives Through Education
Source Author(s)/Editor(s): Goran Ilik (University “St. Kliment Ohridski”, Bitola, North Macedonia), Mladen Karadjoski (University “St. Kliment Ohridski”, Bitola, North Macedonia), Ice Ilijevski (University “St. Kliment Ohridski”, Bitola, North Macedonia)and Blagoj Nenovski (University “St. Kliment Ohridski”, Bitola, North Macedonia)
DOI: 10.4018/979-8-3693-9601-8.ch014
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Abstract
This study examined how group discussions affected prospective teachers' metacognitive confidence and decision accuracy when classifying AI-based educational technology news as real or fake. A quasi-experimental design was used with 20 prospective teachers. Before evaluating the news, participants completed measures of news media and AI literacy. They then classified eight news articles individually, in groups, and again individually. Findings showed that group discussions significantly affected confidence and accuracy, with group confidence exceeding individual confidence after discussion. However, accuracy was more consistent for real news than fake news. News media and AI literacy had a small effect on initial judgments and a limited effect after discussion. The results highlight the need to integrate media and AI literacy into teacher education to improve decision making in collaborative learning, while highlighting the complexity of group dynamics in addressing misinformation about AI.
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