Construction of Teaching Assisted Expert System in Engineering Training

Due to diversity of engineering training knowledge, complexity of its practitioners' needs, and low efficiency for an individual instructor to guide students, this paper proposes a new type of assisted teaching system based on expert system. It first elaborates the structure and significance of the system, then analyses knowledge representation which combines framework and productive representation. It also designs a corresponding knowledge base and specific examples are given. On this basis this paper proposes the specific reasoning process based on database and expounds the components of the system and its designing methods. In contemporary world, with the rapid growth of information age and artificial intelligence, the reform of higher education is inevitable. [1] "The Long-term education development Plan" (2010-2012) released by the Ministry of Education proposed new requirements for "informationization of the education". As an important part of higher education, engineering training undertakes a large amount of student internship annually. Due to differences in students' knowledge background, diverse practical problems occurred in internship, heavy workload and low efficiency for teachers' guidance, the use of expert system in engineering training might be possible to promote students' independent learning, broaden their horizon, and reduce teacher's burden. To this end, the author constructed a new kind of Teaching Assisted Expert System in Engineering Training (TAESET).