Abstract:

In today's education, students often face difficulty in developing deep conceptual understanding across a range of academic fields as a result of traditional teaching strategies that emphasize rote memorization at the expense of analytical thinking. Standard online learning platforms conventionally offer instant responses, which limits exploration, reflection, and meaningful understanding. AskWise offers an AI-augmented Socratic learning experience designed to cultivate critical thinking by guiding learners through a set of structured questions rather than offering definitive answers. With generative artificial intelligence, adaptive commentating systems, multimodal visual materials, and interactive practice activities, the site individualizes learning experiences and stimulates intellectual inquiry. With interactive discussion and scaffolding, AskWise guides passive learning towards an active, reflective experience that builds deep understanding across mathematical, computational, and conceptual fields. This paper explores AskWise's design architecture, its pedagogical ramifications, and its scalability possibilities as a novel instrument for personalized, AI-enabled learning.