AI-empowered Teaching Reform of Project Management in Telecommunication Engineering

As an important specialized extension course for undergraduate students who major in telecommunication engineering, the Project Management (PM) course is vital for the students to meet the requirements for engineering practice and project management skills in their future career. The course is rich in content, but with limited class time. Besides, it is both highly theoretical and practical. Lack of effective practice opportunities for students is the biggest challenge that is difficult to overcome in the traditional teaching background. Therefore, we integrate Artificial Intelligence (AI) into the teaching process of PM to overcome the challenge and promote teaching effects by providing students with virtual practice opportunities of project management. The integration of AI into PM courses offers personalized instructions, dynamic content recommendations, tailored project simulations, case-based learning, automated assessment and real-time feedback. AI facilitates the theoretical learning process and improves the learning efficiency of students. Furthermore, AI provides diverse virtual project environments tailored for students to practice their PM skills. Moreover, AI can take some virtual roles in a project and interact with students. With the aid of AI, more opportunities are available for students to develop their problem-solving skills in projects and to enhance their project management skills. Besides, AI can give some hints or provide suggestions when students are faced with some dilemmas in the virtual projects. There are usually several ways to solve a problem and each solution has its own advantages and disadvantages. Then, discussions among teachers and students are initiated to decide which solution is better. During the process, the horizons of students are broadened and their skills in PM, even their overall competencies, are gradually developed. Thus, by integrating AI into the teaching process of PM, teachers are able to offer more effective virtual practice opportunities to students, effectively conquering the biggest challenge of the course. In the end, it is emphasized that each of us is supposed to realize the limitations of AI and avoid over-reliance on it.