From Priming Modalities to Educational AI Chatbot Engagement: A Study of 67 Learners

Taylor & Francis
Artikkeli
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Xuan, T., Salminen, J., Kaate, I., Ahmed, F., Amin, D., Patil, R., Jung, S.-G., Azem, J.Y., & Jansen, B.J. (2026). From Priming Modalities to Educational AI Chatbot Engagement: A Study of 67 Learners. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2026.2654818
© 2026 The Author(s). Published with license by Taylor & Francis Group, LLC. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Lataukset11

Kuvaus

Learner interactions with AI have become crucial in education. A study with sixty-seven learners in a within-subject quasi-experimental study was conducted. Participants were randomly assigned to counterbalance sequences of visual and audio learning materials about wild species, completing a pre-survey, two learning sessions with an educational AI chatbot called Cipherbot and post session experience surveys. This study focused on learner interactions with Cipherbot, specifically (1) how material modalities influenced recall; (2) chatbot engagement through behavioral patterns; (3) material modalities’ influence on task completion; and (4) experiential interaction exploring how prior experiences moderated learning behaviors. Interactions were measured using surveys, audio-transcripts, and chatlogs. Results showed learners achieved higher knowledge recall with visual materials. Experienced AI-users interacted significantly less, whereas task-experienced learners interacted more after audio materials. The audio-butterfly sequence showed order effects, with learners spending more time producing more utterances. Chatbot-user guidelines with multiple modalities are recommended to enhance learning experience.

Emojulkaisu

ISBN

ISSN

1532-7590
1044-7318

Aihealue

Kausijulkaisu

International journal of human-computer interaction

OKM-julkaisutyyppi

A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä (vertaisarvioitu)