Volume 10,Issue 9
Research on the Empowerment of Artificial Intelligence in the Reform and Implementation of Blended Teaching in Computer Science Programs
Against the backdrop of the deep penetration of digital‑intelligent technologies into education, traditional blended teaching for computer science programs has long suffered from common pain points, including separated teaching scenarios, insufficient adaptability, and single‑dimensional evaluation, making it hard to meet talent‑training demands brought by rapid disciplinary iteration. Taking artificial intelligence as the core empowering tool, this paper explores systematic reform paths for blended teaching in computer science programs. It puts forward implementable practical strategies from dimensions such as reconstruction of teaching paths, construction of resource systems, and connection of scenario links. It breaks the fixed pattern of separation between online and offline sessions, promoting a shift in teaching logic from unified output to personalized adaptation. It provides new reform ideas for cultivating compound technical talents majoring in computer science, as well as referable practical directions for digital‑intelligent teaching upgrading of similar majors.
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