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

Trang Xuan, Joni Salminen, Ilkka Kaate, Farhan Ahmed, Danial Amin, Rajat Patil, Soon-Gyo Jung, Jinan Y. Azem, Bernard J. JansenInternational Journal of Human–Computer Interaction (2026)

Abstract

Trang Xuan , Joni Salminen , Ilkka Kaate , Farhan Ahmed , Danial Amin , Rajat Patil , Soon-Gyo Jung , Jinan Y. Azem , Bernard J. Jansen 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.

Team

Dr. Bernard Jansen

Dr. Bernard Jansen

Visiting Professor, Peking University, China
Dr. Joni Salminen

Dr. Joni Salminen

Associate Professor, University of Vaasa, Finland

Alumni

Jinan Yousef Azem

Jinan Yousef Azem

Research assistant

Tools

Cipherbot: AI-Powered Transformation of Learning

Cipherbot: AI-Powered Transformation of Learning

Cipherbot is an AI teaching and learning platform that turns existing course and curriculum materials into AI-generated lesson plans, slides, narrated videos, study guides, and assessments, while giving learners a 24/7 multilingual tutor that answers only from the instructor’s content, with citations back to the source. Built for the full education spectrum—from national ministry deployments to K-12 schools, universities, and corporate training partners—it combines configurable AI pedagogy, early at-risk-student analytics, automated grading, and full LMS integration. Pilot-tested and adopted by institutions across multiple countries—including Qatar, Korea, Australia, Finland, China, Vietnam, and Indonesia—Cipherbot has served over 4,200 active users, including 400+ teachers and 3,000+ students across 800+ classes, all as part of a social-impact initiative bringing safe, citation-backed AI into everyday teaching and learning.

AI-Human Interaction

Connections

ResearchPeopleTools
From Priming Modalities to …AI-Human InteractionSoon-gyo JungJinan Yousef AzemDr. Bernard JansenDr. Joni SalminenCipherbot: AI-Powered…