Volume 3,Issue 7
Vibe Learning: Cultivating Mathematical Modelling Literacy in High School: A Quasi-Experimental Mixed-Methods Study
Vibe learning brings the idea-first ethos of vibe programming into classroom practice: learners set intentions and evaluation criteria while technology recedes. We report a quasi-experimental mixed-methods study in two parallel Grade 11 classes: an experimental class used an AI-augmented modelling sandbox with a Socratic micro-tutor across three scenarios, while a control class received traditional instruction. Data included baseline questionnaires, platform logs, post-task micro-surveys, and summative assessments. Vibe learning enabled full-cycle modelling within regular periods: completion time fell by 33%, first-attempt correctness rose, submission cycles dropped, and feedback latency shrank from minutes to seconds. Both classes reached similar concept mastery by end of the term, with larger self-efficacy gains in the experimental group. We outlined orchestration to balance efficiency with productive struggle and situate the design in pragmatism, social constructivism, phenomenology, hermeneutics, and virtue epistemology, showing a scalable, human-centered path to modelling literacy with transparent, computable evidence.
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