254
J. Xing et al.
Interactive teaching system: it can realize distance teaching when teachers and
students are in different spaces, and promote online and offline blended teaching.
Electronic examination: includes examination system, video search system, shielding system, identification system, command system, which realizes the whole process
of comprehensive management, such as system management, online search, standardized test file management, examination paper circulation management, identity authentication, cheating in staff management, emergency command, control, data statistics,
etc.
Normal recording and broadcasting system: recording of the class will be stored in
the school Shared cloud platform, teachers and students can watch the live broadcast
and recorded video at any time.
Visual teaching supervision: through the online system, the supervising teacher
can check the actual situation of the class in each classroom and evaluate the class
online, which can effectively reduce the impact on the teaching teachers and improve
the efficiency of teaching supervision.
Intelligent question-answering system: based on big data processing, knowledge
graph, intelligent decision-making, man-machine integration and so on, it provides
accurate answers to various questions raised by students in the teaching of professional courses, effectively assists teachers in classroom teaching, and enhances students’
learning effect.
3 Teaching System Adaptive Evolution System
The development of artificial intelligence, big data, the Internet of things and other
professional fields is very rapid. If the teaching system cannot keep pace with The Times
and evolve iteratively, it is not conducive to the cultivation of students’ knowledge, ability
and quality employment, the development of teachers’ ability and the development of
scientific research, and ultimately, it is not conducive to the cultivation of high-level
talents in universities. Therefore, the teaching system should be adjusted in time with
the development of related professional fields.
On the basis of big data analysis platform, data mining analysis is regularly performed for teaching and scientific research, relevant policy, social services, teachers and
students feedback, and evolution of teaching system optimization scheme is automaticly generated, then through the analysis of the expert group, man-machine integration
mechanism is adopted to define the teaching system adjustment scheme, teaching system
adaptive evolution system logic architecture is shown in the following figure: (Fig. 2)
J. Xing et al.
Interactive teaching system: it can realize distance teaching when teachers and
students are in different spaces, and promote online and offline blended teaching.
Electronic examination: includes examination system, video search system, shielding system, identification system, command system, which realizes the whole process
of comprehensive management, such as system management, online search, standardized test file management, examination paper circulation management, identity authentication, cheating in staff management, emergency command, control, data statistics,
etc.
Normal recording and broadcasting system: recording of the class will be stored in
the school Shared cloud platform, teachers and students can watch the live broadcast
and recorded video at any time.
Visual teaching supervision: through the online system, the supervising teacher
can check the actual situation of the class in each classroom and evaluate the class
online, which can effectively reduce the impact on the teaching teachers and improve
the efficiency of teaching supervision.
Intelligent question-answering system: based on big data processing, knowledge
graph, intelligent decision-making, man-machine integration and so on, it provides
accurate answers to various questions raised by students in the teaching of professional courses, effectively assists teachers in classroom teaching, and enhances students’
learning effect.
3 Teaching System Adaptive Evolution System
The development of artificial intelligence, big data, the Internet of things and other
professional fields is very rapid. If the teaching system cannot keep pace with The Times
and evolve iteratively, it is not conducive to the cultivation of students’ knowledge, ability
and quality employment, the development of teachers’ ability and the development of
scientific research, and ultimately, it is not conducive to the cultivation of high-level
talents in universities. Therefore, the teaching system should be adjusted in time with
the development of related professional fields.
On the basis of big data analysis platform, data mining analysis is regularly performed for teaching and scientific research, relevant policy, social services, teachers and
students feedback, and evolution of teaching system optimization scheme is automaticly generated, then through the analysis of the expert group, man-machine integration
mechanism is adopted to define the teaching system adjustment scheme, teaching system
adaptive evolution system logic architecture is shown in the following figure: (Fig. 2)