Results of an experimental study of the effectiveness of performing practical tasks using artificial intelligence in engineering and creative fields

This dataset presents the findings of a comparative analysis of practical tasks performed by students within an experimental framework involving Artificial Intelligence tools. The research covers a broad spectrum of activities, ranging from technical calculations to creative engineering design. The data is categorized by key performance indicators: calculation accuracy, logical reasoning quality, degree of autonomy, and compliance with safety and technical standards. A significant component of the dataset is the comparison of actual execution time against standard benchmarks, illustrating the productivity shift from basic to expert levels through the integration of AI assistants. These materials are intended for researchers and educators studying the transformation of the educational process, the automation of intellectual labor, and competency assessment methods in the digital environment.