Leveraging LLM in Blended Learning: An AI+HI Teaching Approach for Procedural Programming

Abstract

As a professional core course of computer science majors in universities, the main content of procedural programming mainly involves data representation methods, data input and output interaction methods, process control methods, data structure representation, modular design thinking, etc., revealing the basic ideas and general principles of program design. In the teaching process of the course, there are generally problems such as monotonous teaching resources, lack of engineering application scenario design, and insufficient application of modern artificial intelligence tools. In response to these problems, this course proposes an AI+HI teaching path based on online and offline blending and LLM: enriching online and offline hybrid teaching resources, strengthening the creation of common engineering application scenarios, enhancing the application of artificial intelligence tools to achieve AI+HI integration which use LLM, and creating a three-dimensional classroom of theory, practice, ideology and politics. Through reform, the course has won the provincial quality engineering project and the school-level high-quality course project, and the course group teachers have won various course honors, led students to participate in subject competitions and won many provincial awards.