Chatting about the Past with Artificial Intelligence

Abstract Generative artificial intelligence (AI) offers new opportunities for history education, such as the ability to chat with historical figures. However, little is known about pupils’ interaction with AI applications such as ChatGPT. A qualitative case study was conducted to explore how pupils (n = 21, year nine, fourteen years old) interacted with ChatGPT while completing a history-learning task that involved interviewing the chatbot of a historical figure. The resulting chat protocols were analyzed using grounded theory, focusing on a sociocultural approach to history education and concepts from human–machine communication (HMC). The findings suggest that pupils’ interaction with AI can be seen as a kind of human–machine communication involving specific types of history-related prompts from humans and particular responses from AI. Based on these findings, the article discusses implications for further research and practice.

Authors

Publication Details

Journal
Journal of Educational Media Memory and Society
Published
2024-09-01
DOI
https://doi.org/10.3167/jemms.2024.160206
Citations
1
Primary Topic
Digital and Traditional Archives Management
Type
article
Field-Weighted Citation Impact
1.96
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article

Chatting about the Past with Artificial Intelligence

Marcel Mierwald
1 citations
Journal of Educational Media Memory and Society
Digital and Traditional Archives Management
1.96
article

Chatting about the Past with Artificial Intelligence

Marcel Mierwald
article en
1 citations

Abstract

Abstract Generative artificial intelligence (AI) offers new opportunities for history education, such as the ability to chat with historical figures. However, little is known about pupils’ interaction with AI applications such as ChatGPT. A qualitative case study was conducted to explore how pupils (n = 21, year nine, fourteen years old) interacted with ChatGPT while completing a history-learning task that involved interviewing the chatbot of a historical figure. The resulting chat protocols were analyzed using grounded theory, focusing on a sociocultural approach to history education and concepts from human–machine communication (HMC). The findings suggest that pupils’ interaction with AI can be seen as a kind of human–machine communication involving specific types of history-related prompts from humans and particular responses from AI. Based on these findings, the article discusses implications for further research and practice.

Journal of Educational Media Memory and SocietyVol. 16(2)
Openalex Percentile: Top 8%
Digital and Traditional Archives Management
1.96
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