Abstract
With the rapid development of information technology, smart teaching platforms have become important tools for higher education teaching reform. As a core course of computer science and technology-related majors in higher education, the data structure course lays a solid foundation for students’ professional learning and plays an important role in promoting their future success in technology, research, and industry. This study conducts an in-depth analysis of the pain points faced by the data structure course, and explores a teaching reform and practice of integration of theory and practice based on the system application of a smart teaching platform before class, during class, and after class. The reform practice shows that this teaching mode improves students’ learning initiative, learning motivation, and practical skills. Students not only achieved better results in knowledge mastery but also significantly improved in problem analysis and solution.
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