Inorganic chemistry course teaching tutoring management method based on big data and artificial intelligence

Abstract

The invention discloses an inorganic chemistry course teaching tutoring management method based on big data and artificial intelligence, and the method comprises the steps that a teacher carries out decomposition of course teaching materials and learning requirements, and carries out recording of a live course on time; students register on a teaching system, enter the teaching system for learning, enter classes of courses according to course selection and class grouping results, check and read course tutoring teaching materials of each chapter according to requirements of course tutors, and perform live course learning on time; in the learning process, the students ask questions on site, the tutoring teacher answers the questions, online communication is achieved, the teacher arranges curriculum homework after class, the students complete the curriculum homework, and unit evaluation and scoring are conducted after curriculum chapter learning is finished; through collecting teacher teaching and student learning states, student after-class feedback and examination results, big data analysis is carried out, a good teaching mode, key knowledge content and difficult point knowledge content are summarized, teaching management is facilitated, a teaching scheme is optimized, and teaching quality is improved.

Description

technical field [0001] The invention relates to the technical field of teaching management, in particular to a teaching guidance management method for inorganic chemistry courses based on big data and artificial intelligence. Background technique [0002] Inorganic chemistry is the study of the chemistry of inorganic compounds and is an important branch of the field of chemistry. Generally, inorganic compounds are relative to organic compounds, and refer to most compounds without C-H bonds. However, carbon oxides, carbon sulfides, cyanides, thiocyanates, carbonic acid and carbonates, carboranes, metal carbonyls, etc. The scope of inorganic chemistry research is an indispensable part of chemistry course teaching. With the development of science and technology, online teaching has become an important way to supplement classroom teaching. The current online teaching is simply live teaching by simple teachers , the way students learn, and the students' listening status are diff...

AI Technical Summary

Problems solved by technology

Generally, inorganic compounds are relative to organic compounds, and refer to most compounds without C-H bonds. However, carbon oxides, carbon sulfides, cyanides, thiocyanates, carbonic acid and carbonates, carboranes, metal carbonyls, etc. The scope of inorganic chemistry research is an indispensable part of chemistry course teaching. With the development of science and technology, online teaching has become an important way to supplement classroom teaching. The current online teaching is simply live teaching by simple teachers , the way students learn, and the students' listening status are difficult for teachers to intuitively control, so they cannot adjust the teaching methods in time, resulting in poor overall teaching quality. For this reason, we propose a teaching and guidance management method for inorganic chemistry courses based on big data and artificial intelligence to solve the above problems

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