Construction of artificial intelligence mechanical laboratory with engineering education based on CDIO teaching strategies

Abstract

Artificial Intelligence (AI) education breaks a new ground with the recent approaches to let students understand how people being activated by their thinking rule. In the beginning of systematic instruction of AI, the organization should be lateral and subjacent supported with students and teachers. To construct the Artificial Intelligence mechanical laboratory (AIML) may require a vibrant community of inventive problem solvers due to the underrepresented populations of engineering students in the field of AI, and the applications of different science field for the AIML are also needed. In this paper, we introduce the way to correlate the research and teaching process for the construction of the AIML based on the CDIO teaching philosophy. During the AIML building progress, the construction indicators and design strategies may help the students to improve their learning initiative. Through the joining and support of experimental equipment, students’ academic knowledge can be accelerated and more certain for the direction of applications. The close combination of the experimental teaching and practical ability with CDIO project-based learning are consistently found in good practices of active learning for the engineering education.