Beata Beigman Kelbanov
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2025
Towards assessing persistence in reading in young learners using pedagogical agents
Caitlin Tenison
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Beata Beigman Kelbanov
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Noah Schroeder
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Shan Zhang
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Michael Suhan
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Chuyang Zhang
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
This pilot study investigated the use of a pedagogical agent to administer a conversational survey to second graders following a digital reading activity, measuring comprehension, persistence, and enjoyment. Analysis of survey responses and behavioral log data provide evidence for recommendations for the design of agent-mediated assessment in early literacy.