Common ground improves learning with conversational agents

Although conversational agents are successfully applied in teaching, it is largely unclear which communication principles should be employed to optimise learning. We examine the influence of common ground (i.e. shared knowledge on which to build during conversation) on learning. In an in-class experiment, students studied with one of two pedagogical conversational agents. The control version provided information without emphasising grounding, whereas the common ground version emphasised grounding, for example, by encouraging students to monitor and repair common ground. After the learning unit, students evaluated their learning experience and the pedagogical conversational agent, after which they were tested on the studied material. Students in the common ground (vs. the control) condition performed better in a post-study knowledge test and engaged longer with the pedagogical conversational agent. Thus, the common ground emphasis facilitated learning with a conversational agent, indicating that grounding principles should be incorporated when designing conversational agents.

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Publication Details

Journal
Universitätsbibliothek Kassel
Published
2025-08-11
DOI
https://doi.org/10.17170/kobra-2026032712028
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Common ground improves learning with conversational agents

Ralf Rummer, Anita Körner, Antonia Tolzin, Andreas Janson et al.
Universitätsbibliothek Kassel
AI in Service Interactions
article

Common ground improves learning with conversational agents

Ralf Rummer, Anita Körner, Antonia Tolzin, Andreas Janson, Jan Marco Leimeister
article en

Abstract

Although conversational agents are successfully applied in teaching, it is largely unclear which communication principles should be employed to optimise learning. We examine the influence of common ground (i.e. shared knowledge on which to build during conversation) on learning. In an in-class experiment, students studied with one of two pedagogical conversational agents. The control version provided information without emphasising grounding, whereas the common ground version emphasised grounding, for example, by encouraging students to monitor and repair common ground. After the learning unit, students evaluated their learning experience and the pedagogical conversational agent, after which they were tested on the studied material. Students in the common ground (vs. the control) condition performed better in a post-study knowledge test and engaged longer with the pedagogical conversational agent. Thus, the common ground emphasis facilitated learning with a conversational agent, indicating that grounding principles should be incorporated when designing conversational agents.

Universitätsbibliothek Kassel
Quality Education
Openalex Percentile: Top 12%
AI in Service Interactions
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Common ground improves learning with conversational agents — Ralf Rummer, Anita Körner, et al. · Universitätsbibliothek Kassel (2025) | TGRS Research Map | TGRS