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Abstract Artificial Intelligence (AI) and Machine Learning (ML) are pivotal topics in today's education and have a significant impact on the future of engineering careers. AI and ML applications are gaining popularity in real-world engineering projects, making it essential for all engineering students to learn about the evolving tools and techniques. The objective of this study was to create a specialized module within an Engineering Project Management and Planning course, offering students insights into the versatile applications of AI and ML in project management. The module focuses on four primary learning objectives. To achieve these objectives, we explored three key aspects of AI and ML in project management: 1) Enhancing decision-making through AI and ML predictive capabilities; 2) Optimizing resource allocation by automating report generation, virtual assistance, and automating communications; and 3) Mitigating project risks through sentiment analysis of project documents and early issue detection from textual data. To ensure a comprehensive understanding for students, we integrated a few AI and ML tools currently utilized in industry projects into the module, summarizing their potential advantages and disadvantages. The module was designed for graduate-level students and spans one week of a three-credit-hour course. An in-class activity was included to engage students actively in the learning process. Students' attainment of the learning objectives will be assessed through a subsequent homework assignment, a quiz and one exam question in the form of matching statements. While primarily designed for graduate-level students, this module can be adapted with minor adjustments for inclusion in undergraduate-level engineering project management courses.
Vesali et al. (Tue,) studied this question.