Abstract:

The course Research Methodology, part of the Master’s Degree in Engineering, Processing and Characterization of Materials, has been redesigned under an applied, research-based learning approach aimed at fostering a solid understanding of methodological principles through the development of a real research project focused on the design and characterization of novel polymeric materials. Students, working in teams of four to five members, formulate scientific hypotheses that address current challenges in materials science and design an experimental plan to test them. Throughout the project, they apply the tools introduced in class, such as Origin for data analysis, EndNote for bibliographic management, and ImageJ for image processing, thereby strengthening their scientific, technical, and communication skills.

A distinctive feature of this redesigned course is the integration of Artificial Intelligence (AI) tools, including ChatGPT and Perplexity, as complementary resources intended to enhance critical thinking rather than replace scientific reasoning. Their guided use enables students to compare AI-generated information and analytical capabilities with their own interpretations, prompting reflection on the validity, reliability, and contextual relevance of research outputs. Collaborative work is also central to the course, as each student assumes a well-defined role within the team, promoting individual accountability, joint planning, and effective scientific communication. This structure supports autonomous learning and reinforces the collective construction of knowledge.

The results show high student engagement and a substantial improvement in their understanding of applied research methodology. Several projects initiated in the course have evolved into Master’s Theses and even doctoral research proposals, demonstrating the long-term impact of this pedagogical approach. Overall, the combination of applied research practices and AI-based tools has proven to be an effective strategy to enhance motivation, active learning, and scientific reasoning in the field of materials engineering.

Keywords:

Applied Research, Materials Engineering, Artificial Intelligence in Education, Research Methodology, Project-Based Learning.