Research on the Influence and Countermeasures of AI on the Teaching of Logic Course

Abstract

AI has a profound impact on the teaching of Logic, leading to a "supply-demand-technology" tripartite mismatch in current logic education: the contradiction between the scarcity of curriculum resources (only 2% of universities nationwide offer undergraduate logic courses) and the universal demand for thinking literacy; the disconnection between traditional theoretical indoctrination models and the practical ability requirements of the AI era; and the imbalance between the potential of technological empowerment and the protection of thinking autonomy. Meanwhile, artificial intelligence catalyzes transformation through "two-way reconstruction": positively promoting three-dimensional upgrading of "textbooks-tools-evaluation", and reversely urging the construction of "ethics-ability" defenses. Therefore, in the teaching mechanism, "human-machine symbiosis" rules should be established to safeguard cognitive sovereignty through technological domestication; in the faculty ecosystem, disciplinary silos should be broken, and a "philosophy-computer-practice" triangular team should develop a cognitive foundation; at the social interface, an industry-education certification hub should be created to embed thinking training into the national innovative talent supply chain.