Effects of a brief Snacktivity-based educational intervention on physical activity and exercise behavior among university students.

Contemporary education faces a paradox. Learners have unprecedented access to information, explanations, simulations, and intelligent tools, yet access alone does not guarantee understanding. A student may recognize terms without integrating them, complete tasks without transferring them, or receive personalized content without developing the capacity to regulate learning independently. In this context, the central challenge for educational psychology is not merely how to deliver more information, but how to cultivate learners who can transform information into meaningful, durable, transferable, and self-regulated understanding. Deep learning, in this sense, is the learner's participation in the construction, evaluation, integration, and transfer of meaning. This challenge is not new, but it is becoming more urgent. Constructivist, sociocultural, self-regulated learning, and metacognitive traditions have long emphasized that learners actively organize knowledge rather than passively absorb it (; ; ). Research on generative learning has shown that students learn more deeply when they select, organize, explain, draw, teach, or otherwise transform material rather than merely receive it (; ). Creativity research has likewise demonstrated that productive thought depends on both generative expansion and evaluative constraint (; ). However, these literatures often address different levels of the learning problem. Self-regulation describes cycles of forethought, performance, monitoring, and reflection; ICAP differentiates modes of engagement; generative learning identifies productive strategies; and knowledge-integration traditions emphasize the construction of connected representations. What remains under-specified is how intuitive salience, rational articulation, creativity, feedback, and metacognitive control are coordinated within a single instructional episode. The System 3 Method is proposed as a conceptual bridge across these domains. It builds on the claim that human creativity and deep learning cannot be adequately understood as the output of either fast intuition or slow reasoning alone. In dual-process terms, System 1 is commonly associated with rapid, associative, affect-laden, and low-effort processing, whereas System 2 is associated with slower, deliberative, rule-based, and effortful reasoning (; ). Both are essential for learning. Intuition orients attention, marks relevance, supports pattern recognition, and provides affective momentum. Reason articulates, tests, justifies, revises, and constrains. Educationally powerful learning requires more than alternation between these modes. It requires a higher-order integrative process that monitors, coordinates, and iteratively binds intuitive and rational signals into meaningful understanding.