The Construction of a Talent Cultivation System for the Robot Engineering Major Based on the OBE Concept
Keywords:
Outcome-Based Education, Robotics Engineering, Artificial intelligence, Personnel training systemAbstract
The Outcome-Based Education (OBE) philosophy has been widely recognized as an effective approach to enhance the quality of engineering education. This paper focuses on the construction of a talent cultivation system for the Robotics Engineering major based on the OBE concept. The OBE approach emphasizes the importance of clearly defining expected learning outcomes and aligning the entire educational process to achieve these outcomes. In the context of Robotics Engineering, this means identifying the specific skills, knowledge, and competencies that graduates should possess to meet the demands of the industry and society. Firstly, the paper analyzes the current challenges and needs in the field of Robotics Engineering. It identifies the key areas where graduates need to excel, such as programming, mechanical design, electronics, and artificial intelligence. Based on this analysis, the expected learning outcomes for the Robotics Engineering major are defined. These outcomes cover not only technical skills but also soft skills such as problem-solving, teamwork, and innovation. The paper then discusses the curriculum design that is aligned with these learning outcomes. The curriculum includes a combination of theoretical courses and practical training. The theoretical courses provide students with a solid foundation in the principles of robotics, while the practical training allows students to apply their knowledge to real-world problems. The curriculum also incorporates project-based learning, where students work on projects that simulate real-world scenarios. This approach helps students to develop their problem-solving skills and gain hands-on experience. In addition to the curriculum design, the paper also addresses the assessment methods. The assessment is outcome-based, meaning that it focuses on evaluating whether students have achieved the expected learning outcomes. This includes both formative and summative assessments, such as quizzes, exams, project evaluations, and final capstone projects. The assessment results are used to provide feedback to students and to continuously improve the teaching process. Finally, the paper presents the implementation of the talent cultivation system and evaluates its effectiveness. The results show that the OBE-based system has significantly improved the quality of education in the Robotics Engineering major. Graduates from this system are better prepared to meet the challenges of the industry and have a higher employability rate. In conclusion, the construction of a talent cultivation system for Robotics Engineering based on the OBE philosophy is an effective way to improve the quality of engineering education. By clearly defining learning outcomes and aligning the curriculum and assessment methods to achieve these outcomes, this system helps to produce well-rounded graduates who are ready to contribute to the field of robotics.