British Journal of Educational Technology, Journal Year: 2025, Volume and Issue: unknown
Published: April 17, 2025
This paper reports on a design‐based research (DBR) study that aims to devise an artificial intelligence (AI)‐powered teachable agent supports secondary school students' learning‐by‐teaching practices of mathematics learning content. A long‐standing pedagogical practice is powered by recent advancement generative AI technologies, yielding our called ALTER‐Math . chronicles one usability testing and three cycles iterative design implementation process The empirical studies involved total 320 middle students six teachers in authentic classroom settings. first was exploratory, focusing the qualitative feedback from through open‐ended surveys, interviews observations. second yielded medium‐high ( M = 3.26) quantitative survey result perceived engagement top findings. Finally, final included pre‐ post‐knowledge tests quasi‐experimental as well student teacher interviews. revealed bigger significant knowledge improvement who used compared control group, suggesting positive impact AI‐powered agents learning. implications learned multiple iterations are discussed inform future technologies. Practitioner notes What already known about this topic Learning‐by‐teaching effective strategy enhance domain feelings responsibility Various have been developed demonstrated benefits Generative offers potential provide naturalistic, contextualised adaptive conversations. adds Develops novel for learning, Reports involving implementations Reveals student's mathematical after using , group. Implications and/or policy Researchers can be inspired example theoretically grounded technology. Educational technology designers could hear real voices educational directed technologies agents.
Language: Английский