CN113011738A

CN113011738A - Teaching supervision cloud method

Info

Publication number: CN113011738A
Application number: CN202110288569.2A
Authority: CN
Inventors: 王园园; 罗琴; 黄正文
Original assignee: Sichuan Vocational College Of Culture And Media
Current assignee: Sichuan Vocational College Of Culture And Media
Priority date: 2021-03-18
Filing date: 2021-03-18
Publication date: 2021-06-22

Abstract

The invention discloses a cloud method for supervision of teaching, which is an online cloud platform for network work of supervision of teaching, and comprises a supervision manager, supervision evaluation, data analysis, diagnosis improvement and supervision dynamics. The intelligent analysis on supervision data can be realized through the teaching supervision cloud method, a supervision evaluation analysis report is efficiently and accurately formed, the effect of one person supervising a plurality of persons is more intuitively achieved, the online teaching supervision network work cloud platform is developed aiming at solving the practical problems that a college is long-distance and multi-region, the number of professional supervision personnel is limited and the like in the standard development process of civil and office high-duty, and has the functions of information cloud backup, big data cloud operation, intelligent self-error correction, online remote submission, management multi-classification and the like.

Description

Teaching supervision cloud method

Technical Field

The invention relates to an internet teaching supervision system, in particular to a teaching supervision cloud method and an online teaching supervision network work cloud platform.

Background

Teaching supervision work is an important link in the teaching management work of schools, and plays an important role in aspects such as strengthening teaching quality inspection, teaching process monitoring and improving teacher teaching quality. At present, the traditional manual teaching supervision method and means are established on the basis of a traditional teaching supervision evaluation system, a large number of supervision personnel, financial resources and material resources are input, the accuracy and reliability of supervision and evaluation results are still limited by a large number of external environments, the practical effects of a classroom cannot be accurately tracked in real time, particularly, the management of cross-regional double school areas is mostly carried out in the majority of the public vocational colleges under the existing partial group study mode, on the premise that the number of the teaching supervision personnel is limited, the supervision quality is improved, the supervision efficiency is enhanced, urgent needs are applied to a remote teaching supervision system of a network cloud platform, the supervision data are intelligently analyzed, a supervision and evaluation analysis report is efficiently and accurately formed, and the effect of supervising multiple persons by one person is more intuitively achieved. Therefore, the teaching supervision cloud method is an online teaching supervision network work cloud platform developed aiming at solving the practical problems of remote multi-region in one school, limited quantity of professional supervision personnel and the like in the standard development process of civil and high employment, and has the functions of information cloud backup, big data cloud operation, intelligent self-error correction, online remote submission, multi-level management and the like.

Disclosure of Invention

1. Referring to fig. 1, the invention provides a teaching supervision cloud method, and provides an online teaching supervision network work cloud platform developed for solving practical problems of limited quantity of professional supervision personnel and the like in a standard development process of a civil office, wherein the online teaching supervision cloud platform is provided with a teaching supervision cloud method (0), a supervision manager (1), a supervision evaluation (2), a data analysis (3), a diagnosis improvement (4), a supervision dynamic state (5), a registered user (6), a manager (7), a first-level self-evaluation (8), a second-level mutual evaluation (9), a third-level evaluation (10), a fourth-level evaluation (11), a fifth-level evaluation (12), a first-level analysis (13), a second-level analysis (14), a third-level analysis (15), a fourth-level analysis (16), a fifth-level analysis (17), a diagnosis (18), an improvement (19), a registered student (20), a registered teacher (21), Registering a supervision guide (22), registering parents (23), supervising in school (24) and supervising outside school (25); including supervising housekeeper (1), supervising evaluation (2), data analysis (3), diagnosis improvement (4), supervising five one-level columns of developments (5), characterized by:

A. referring to fig. 1, a supervising and managing manager (1) in the five first-level columns of the invention content 1 comprises two second-level sub-columns of a registered user (6) and an administrator (7);

B. as shown in fig. 1, the supervision and supervision evaluation (2) in the five first-level columns in the invention content 1 comprises five second-level sub-columns, namely, a first-level self-evaluation (8), a second-level mutual evaluation (9), a third-level evaluation (10), a fourth-level evaluation (11) and a fifth-level evaluation (12);

C. referring to fig. 1, the data analysis (3) in the five first-level columns of the invention 1 includes five second-level sub-columns of a first-level analysis (13), a second-level analysis (14), a third-level analysis (15), a fourth-level analysis (16) and a fifth-level analysis (17);

D. referring to fig. 1, the diagnostic improvement (4) in the five primary columns described in summary 1 includes diagnosis (18), improvement (19) and two secondary sub-columns.

2. Referring to fig. 2, a supervision dynamic state (2.1), a notification requirement (2.2) and a supervision report (2.3) are set, and the supervision dynamic state (2.1) in the five primary columns of the invention content 1 comprises two secondary sub-columns of the notification requirement (2.2) and the supervision report (2.3).

3. Referring to fig. 1, a registered user (6) described in the invention content 1 is provided with four three-level sub-columns, namely a registered student (20), a registered teacher (21), a registered governor (22) and a registered chief (23).

4. Referring to fig. 3, the administrator described in the invention 1 is provided with a school level one-level administrator (3.1), a college level two-level administrator (3.2), a system level three-level administrator (3.3) and a teaching and research room level four-level administrator (3.4), and is characterized in that the school level one-level administrator (3.1), the college level two-level administrator (3.2), the system level three-level administrator (3.3) and the teaching and research room level four-level administrator (3.4) have different administrative rights.

5. Referring to fig. 1 and 4, the characteristics of the first-level self-rating (8), the second-level mutual rating (9), the third-level rating (10), the fourth-level rating (11) and the fifth-level rating (12) described in the invention content 1 are as follows:

A. according to the drawings of 4(a), (b) and (c), the first-level self-evaluation of invention content 5 is characterized in that a teacher supervising online self-evaluation system is set, and three major parts, namely basic information (4.1) of the supervising online teaching system, a teacher supervising online self-evaluation quantification system (4.26) and a teacher supervising online self-evaluation scoring project (4.27), are set, wherein the basic information (4.1) of the supervising online teaching system comprises teacher names (4.2), sexes (4.3), academic calendars (4.4), ages (4.5), job titles (4.6), professions (4.7), teaching courses (4.8), classes (4.9) and the number of students (4.10); wherein, the teacher supervises the online self-evaluation quantitative system (4.26) which comprises a scoring item (4.11), an index and weight (4.22), a score (4.23), a self-evaluation score (4.24) and a total score (4.25); wherein, the teacher supervises and manages the online self-evaluation scoring project (4.27) to include a teaching target (4.12), teaching contents (4.13), a teaching process (4.14), a teaching means (4.15), teaching regulation and effect detection (4.16), teacher quality (4.17), teaching characteristics (4.18), a communication state (4.19), a thinking state (4.20) and an emotion state (4.21);

B. referring to a basic information schematic diagram of a supervision online teaching system in fig. 4(a), the invention content 5 is that the teacher name (4.2), the gender (4.3), the study calendar (4.4), the age (4.5), the title (4.6), the specialty (4.7), the teaching course (4.8), the class (4.9) and the student number (4.10) form basic information (4.1) of the supervision online teaching system;

C. referring to fig. 4(b), a schematic diagram of a teacher supervision online self-evaluation quantification system, wherein a scoring item (4.11), an index and weight (4.22), a score (4.23), a self-evaluation score (4.24) and a total score (4.25) form the teacher supervision online self-evaluation quantification system (4.26) according to invention content 5;

D. referring to fig. 4(c), a schematic diagram of a teacher supervision online self-evaluation scoring project is shown, and a teaching target (4.12), teaching content (4.13), a teaching process (4.14), a teaching means (4.15), teaching regulation and effect detection (4.16), teacher quality (4.17), teaching features (4.18), a communication state (4.19), a thinking state (4.20) and an emotion state (4.21) form the teacher supervision online self-evaluation scoring project (4.27);

E. referring to fig. 4, the teaching target (4.12), the teaching content (4.13), the teaching process (4.14), the teaching means (4.15), the detection of teaching regulation and effect (4.16), the teacher quality (4.17) and the teaching feature (4.18) in the invention content 5 belong to the teaching aspect;

F. see fig. 4, the interaction state (4.19), thinking state (4.20), and emotional state (4.21) of the invention content 5 belong to the academic aspect;

G. referring to fig. 4, the design score of the teaching target (4.12) in the invention content 5 is 10 points, the index and the weight thereof include three aspects of the combination harmony and operability of the target on the basis of the teaching material requirements and the practical, cognitive and behavioral targets of the students, and the targets have different standard reaching requirements on the students of different levels, and the scores thereof are respectively 5, 3 and 2 in sequence;

H. referring to fig. 4, the teaching content (4.13) in the invention content 5 has a design score of 6 points, and the indexes and weights thereof include three aspects of accuracy and information amount of knowledge, confidence of key points and quality of teaching materials and teaching notes, and the scores thereof are respectively 2, 2 and 2 in sequence;

I. referring to fig. 4, the teaching process (4.14) described in the invention content 5 has a design score of 8, the indexes and weights thereof include the reasonability of the teaching activity flow structure, the structural flow favorable for students to participate in learning practice, the reasonability evaluation of teaching rhythm and density, and whether the teaching process has the characteristics of the professional class, and the scores thereof are respectively 4, 2, 1 and 1 in sequence;

J. referring to fig. 4, the teaching means (4.15) described in the invention content 5 has a design score of 11, the indexes and weights thereof include five aspects of teaching law attention prompting cognition rules and law guidance, appropriateness and effectiveness of situation creation, problem series design evaluation, rationality and efficiency of selection of electrified education media, and cultivation of student ability and excitation of emotion in the teaching law, and the scores thereof are respectively 4, 2, 3, 1 and 1 in sequence;

K. referring to fig. 4, the teaching regulation and effect detection (4.16) in the invention content 5 is designed to have a score of 8, indexes and weights thereof include timeliness and effectiveness of student information feedback, pertinence and openness of teaching arrangement, integration of physics and reality, sentiment consistency assessment and courseware burden rationality assessment, and the scores thereof are respectively 2, 2 and 2 in sequence;

l. see fig. 4, the teacher's quality (4.17) design score of invention 5 is as small as 7, and its indexes and weights are as follows: firstly, the teaching state is elegant and natural, and the language is accurate and concise; demonstrating the operation specification and guiding the operation; the blackboard writing is scientific, neat and beautiful, and the use is correct, skillful and reasonably optimized by using visual teaching aids, modern teaching means and the like, and the blackboard writing is good at organization teaching and can be randomly adjusted; the scores are respectively 3, 2 and 2 in sequence;

m. as shown in figure 4, the teaching characteristic (4.18) of the invention content 5 has a design score of 5 points, and the indexes and the weights of the teaching characteristic are mainly used for investigating whether the teaching characteristic has unique creations and self-evaluation of effects in aspects of creating a learning environment, teaching methods, media application and the like of a classroom structure;

referring to fig. 4, the design score of the interaction state (4.19) in the invention content 5 is 10 points, and the indexes and weights thereof are as follows: the method has the advantages that multi-edge, rich and various information connection is realized; secondly, interpersonal communication in a classroom has a good cooperation atmosphere; the scores are respectively 5 and 5 in sequence;

referring to fig. 4, the design score of the thinking state (4.20) in the invention content 5 is 12 points, and the indexes and weights thereof are as follows: firstly, the problems are easy to be solved, and the findings are published; secondly, the problem and the insight have challenge and originality; thirdly, the practical creation of one-to-three expansion can be related; the scores are respectively 5, 5 and 2 in sequence;

p. see fig. 4, the designed score of the emotional state (4.21)) of the invention content 5 is 8 points, and the indexes and weights thereof are as follows: firstly, the feeling of tension and pleasure are moderate; secondly, learning emotion can be controlled and adjusted by self; the mind can be exercised by the habitat; fourthly, the emotional resonance is naturally and obviously revealed; the scores are respectively 2, 2 and 2 in sequence.

6. Referring to fig. 5, the second-level mutual evaluation (9) in the second-level column of the network platform in the teaching supervision cloud method of the invention 5 is that the second-level mutual evaluation (9) is linked with the online platform network system for teaching supervision of education and mutual evaluation by teachers in the teaching and research room (second-level mutual evaluation), and the online platform (5.1) for teaching supervision and mutual evaluation by teachers in the teaching and research room (second-level mutual evaluation) is arranged, the result of the first-level self-evaluation is evaluated (5.2), and opinions and suggestions are made (5.3).

7. Referring to fig. 6, the third-level evaluation described in the invention content 5 refers to that the third-level evaluation (10) in the network platform second-level column in the teaching supervision cloud method provided by the invention links the college supervision (third-level evaluation) education, teaching, supervision and evaluation online system, the college supervision (third-level evaluation) education, teaching, supervision and evaluation online system (6.1), the evaluation of the first-level self-evaluation result (6.2), the analysis of the second-level mutual evaluation conclusion (6.3), and the suggestion and suggestion (6.4) are set.

8. Referring to fig. 7, the fourth-level evaluation described in invention content 5 refers to that the fourth-level evaluation (11) in the network platform second-level column in the teaching supervision cloud method provided by the invention links with a supervision evaluation system, and sets quantitative evaluation (7.1), evaluation index (7.2), score (7.3), score (7.4), overall evaluation grade (7.5) and supervision comment (7.6); the method is characterized in that:

A. referring to fig. 8, the quantitative index college of the invention content 8 supervises quantitative evaluation indexes and weights, including an evaluation index (8.1), a teaching environment (8.2), a learning state (8.3), a professor situation (8.4), a score (8.5), a score (8.6), and a total score (8.7);

B. referring to fig. 8, the teaching environment (8.2) described in the invention content 8 includes (i) the complete equipment and sufficient spare parts; secondly, the environment is clean and tidy and the arrangement is reasonable; the scores of the two evaluation scoring columns are 5 and 5 respectively, and the score of the teaching environment (8.2) is counted as 10;

C. referring to fig. 8, the learning state (8.3) of invention 8 includes that the user is right in class and full; fourthly, carefully studying and recording notes; thinking actively and leap in speech; the scores of the three evaluation scoring columns are respectively 5, 5 and 5, and the score of the learning state (8.3) is counted as 15;

D. referring to fig. 8, the teaching scenario (8.4) in summary 8 includes that the time is obeyed and the appearance is natural; seventhly, preparing fully and teaching skillfully; eighthly, the key points are prominent and the effect is obvious; ninthly, paying attention to management and order; the left and right operators are interactive and have long teaching; five evaluation scoring columns with scores of 5, 20, 15 and 15 respectively; teach scenario (8.4) score is subtly 75;

E. the overall evaluation rating (7.5) described in the invention section 8 is set to be excellent: 90-100 minutes; good: 80-89 min; the method comprises the following steps: 60-79 min; difference: 0-59 min; four levels;

F. the supervision comment (7.6) described in the invention content 8 suggests the supervision and the qualitative review from the main contents of the course, the teaching modes (including but not limited to the teaching mode, the project mode, the discussion mode, the case mode, the actual practice mode, etc.) and the two main aspects of the recommendation.

9. Referring to fig. 7, the five-level evaluation (12) in the invention content 5 refers to a five-level evaluation (12) link supervision evaluation system in the network platform secondary column in the teaching supervision cloud method, and is characterized in that the supervision evaluation main body of the five-level evaluation (12) in the invention content 5 is an outside-school supervision (25), and the five-level evaluation (12) link quantification evaluation, evaluation index, score, overall evaluation grade, and supervision comment set by the supervision evaluation system are consistent with the characteristics of the quantification evaluation (7.1), evaluation index (7.2), score (7.3), score (7.4), overall evaluation grade (7.5), and supervision comment (7.6) set by the four-level evaluation in the invention content 8.

10. The teaching supervision cloud method provided by the invention has the functions of information cloud backup, big data cloud operation, intelligent self-error correction, online remote submission, multi-level management and the like, and is characterized in that:

A. content 10 of the invention the information cloud backup in the teaching and supervision cloud method provided by the present invention means that the network platform in the teaching and supervision cloud method provided by the present invention sets an automatic backup policy through the client, so as to realize automatic backup on a daily basis, a weekly basis, a monthly basis, a scholarly basis, a yearly basis or an instant basis, and the backed-up files can realize the recovery of versions at different times;

B. the invention content 10 shows that the big data cloud operation in the teaching supervision cloud method provided by the invention means that the big data in the network platform in the teaching supervision cloud method provided by the invention automatically form a database through big data input, induction, analysis and calculation by a cloud background, a calculation report is generated, and the output is completed;

C. the invention content 10 shows that the intelligent self-correction in the teaching supervision cloud method provided by the invention means that big data in a network platform in the teaching supervision cloud method provided by the invention has the functions of complaint, film pull and abnormity warning, and the cloud platform carries out complaint, prompt and correction on the operation of the big data under the abnormal conditions of self-evaluation mutual evaluation dissatisfaction and the like;

D. content 10 the on-line remote submission in the teaching supervision cloud method provided by the invention means that five-level supervision transmits a supervision evaluation table filled on line to a group of data receiving devices through a network interface, a manager can directly receive the evaluation content of a field teacher and transmit the evaluation content in real time, a network platform is used to ensure that a school supervision room can receive the supervision evaluation table of the five-level supervision on line and remotely, and the management work can be performed in multiple school zones, across regions and paperless manner through rapidness, no distance and anytime and anywhere;

E. content 10 of the invention the management of multiple levels in the cloud method for supervision and teaching provided by the present invention means that different limited management authorities are granted to background administrators of the cloud method for supervision and teaching provided by the present invention according to different management levels of a research and development room, a department, a secondary college, and a school.

11. Referring to fig. 5, the secondary mutual evaluation (9) in the cloud teaching supervision and guidance method provided by the invention is that the colleges are divided by taking the research and development room as a unit, and teachers evaluate teaching links of teachers in the research and development room according to the requirements of the teaching management committee of the colleges on mutual evaluation of teacher teaching and teaching of the colleges.

12. Referring to fig. 6, according to a three-level evaluation (10) in the cloud teaching supervision method, namely, the college supervision evaluation, the teaching conditions of courses and teachers giving lessons in any lesson are evaluated in a mode of regularly listening to 5 lessons for evaluation and irregularly listening to 5 lessons for evaluation according to a college supervision list selected by a college academic committee and a teaching management committee and a college supervision manual;

13. the invention provides a four-level evaluation (11) in a cloud teaching supervision method, namely group supervision evaluation, which mainly means that leaders at all levels of a group recommend courses for a supervision room of a college according to the related requirements of a group supervision manual made by a group teaching management committee, and the teaching conditions of courses and teachers of any course are evaluated in a mode that 2 courses are recommended for the supervision room of the college and 2 courses are randomly listened and evaluated;

14. the invention provides a five-level evaluation (12) in a teaching supervision cloud method, namely, the outside-school supervision evaluation, which mainly means that the outside-school supervision adopts 2 lessons to recommend courses for a supervision room of a college, and the 2 lessons are evaluated in a mode of randomly listening and evaluating the teaching conditions of courses and any lesson teachers.

15. Referring to fig. 1, the first-level analysis (13), the second-level analysis (14), the third-level analysis (15), the fourth-level analysis (16) and the fifth-level analysis (17) in the invention content 1 are evaluation results of the first-level self-evaluation (8), the second-level mutual evaluation (9), the third-level evaluation (10), the fourth-level evaluation (11) and the fifth-level evaluation (12) in the invention content 4, which are in one-to-one correspondence with the machine automatic big data analysis results, and are characterized in that:

A. the primary analysis (13) is used for collecting the data of the primary self-evaluation (8), and the supervising room carries out comprehensive analysis on five aspects of basis, current situation, advantages, defects and countermeasures to obtain a computer result of the primary analysis (13);

B. the secondary analysis (14) is used for collecting data of the secondary mutual evaluation (9), and a supervising room carries out comprehensive analysis from two aspects of characteristics and suggestions to obtain a computer calculation result of the secondary analysis (14);

C. the third-level analysis (15) is used for collecting data of the third-level evaluation (10), and a supervising room carries out comprehensive analysis on the characteristics and the suggestions to obtain a computer calculation result of the third-level analysis (15);

D. the four-level analysis (16) is to carry out comprehensive analysis on the data of the four-level evaluation (11) from two aspects of characteristics and suggestions of a collecting and supervising room to obtain a computer calculation result of the four-level analysis (16);

E. the five-level analysis (17) is to carry out comprehensive analysis on the data of the five-level evaluation (12) from two aspects of characteristics and suggestions by a supervision room to obtain a computer calculation result of the five-level analysis (17).

16. The diagnosis improvement (4) described in the invention content 1 is to provide improvement opinions such as internal culture and external introduction, teaching and research, local service, education and education fusion and the like aiming at the machine automatic big data analysis diagnosis result of the first-level self-evaluation (8), the second-level mutual evaluation (9), the third-level evaluation (10), the fourth-level evaluation (11) and the fifth-level evaluation (12) described in the invention content 5.

Advantageous effects

1. According to the teaching supervision cloud method provided by the invention, the supervision work of the people handling the high-position schools is introduced into the cloud platform, so that a network supervision platform capable of realizing information cloud backup, big data cloud operation, intelligent self-error correction, online remote submission and multi-level management is formed, the supervision evaluation result after big data analysis can be input and output online at any time, the teaching supervision activities of one person supervising a plurality of schools and a plurality of people in the high-position schools can be met, and the network cloud platform is provided for the high-position supervision realization of convenient and reliable mobile office.

2. The invention relates to a teaching supervision system applied to the Internet, in particular to a remote supervision method applicable to a civil and professional colleges, which carries out five-level cloud evaluation, five-level cloud analysis and real-time transmission on the teaching supervision evaluation content, and meets the requirement that professional supervision personnel of the professional colleges carry out online office work through a network cloud by using a cloud platform.

3. According to the supervision cloud method, big data in a network platform automatically form a database through big data input, induction, analysis and calculation through a cloud background, a machine generates a calculation report to complete output, and supervisor evaluation is combined with machine operation, machine statistics and machine analysis, so that not only is the manual workload effectively reduced, but also the analysis and diagnosis are more objective;

4. the cloud platform carries out complaint, prompt and error correction on the operation of big data under abnormal conditions such as self-evaluation mutual evaluation dissatisfaction and the like, and the public opinion problem of colleges and universities is relieved to a certain extent.

5. The invention also sets an information cloud backup function, a user can set an automatic backup strategy through the client to realize automatic backup according to day, week, month, scholarly, year or instant, and the backed-up files can realize version recovery at different time, thereby solving the problems of large mobility and data loss of people in the current civil colleges and universities.

Description of the drawings:

1. fig. 1 is a schematic diagram of a teaching supervision cloud method, wherein 0 is a teaching supervision cloud method, 1 is a supervision manager, 2 is a supervision evaluation, 3 is a data analysis, 4 is a diagnosis improvement, 5 is a supervision dynamic state, 6 is a registered user, 7 is an administrator, 8 is a first-level self-evaluation, 9 is a second-level mutual evaluation, 10 is a third-level evaluation, 11 is a fourth-level evaluation, 12 is a fifth-level evaluation, 13 is a first-level analysis, 14 is a second-level analysis, 15 is a third-level analysis, 16 is a fourth-level analysis, 17 is a fifth-level analysis, 18 is a diagnosis, 19 is an improvement, 20 is a registered student, 21 is a registered teacher, 22 is a registered supervision, 23 is a registered parent, 24 is an in-school supervision, and 25 is an out-school supervision.

2. Fig. 2 is a schematic view of a supervision dynamic column, wherein 2.1 is a supervision dynamic state, 2.2 is a notification requirement, and 2.3 is a supervision weekly report.

3. Fig. 3 is a schematic view of the administrator column, in which 3.1 is the school level one administrator, 3.2 is the college level two administrator, 3.3 is the department level three administrator, and 3.4 is the teaching and research room level four administrator.

4. FIG. 4 is a schematic view of a supervising on-line self-evaluation system, wherein

A. Fig. 4(a) is a schematic diagram of on-line basic information of the supervised on-line teaching system, in which 4.1 is basic information of the supervised on-line teaching system, 4.2 is a teacher's name, 4.3 is a gender, 4.4 is a school calendar, 4.5 is an age, 4.6 is a title, 4.7 is a specialty, 4.8 is a course, 4.9 is a class, and 4.10 is a student number;

B. fig. 4(b) is a schematic diagram of the teacher supervision online self-evaluation quantification system, in which 4.26 is the teacher supervision online self-evaluation quantification system, 4.11 is the scoring item, 4.22 is the index and weight, 4.23 is the score, 4.24 is the self-evaluation score, and 4.25 is the total score;

C. fig. 4(c) is a schematic diagram of the teacher supervision online self-evaluation scoring project, in which 4.27 is the teacher supervision online self-evaluation scoring project, 4.12 is the teaching target, 4.13 is the teaching content, 4.14 is the teaching process, 4.15 is the teaching means, 4.16 is the detection of the teaching regulation and effect, 4.17 is the teacher quality, 4.18 is the teaching feature, 4.19 is the communication state, 4.20 is the thinking state, and 4.21 is the emotion state.

5. Fig. 5 is a schematic diagram of the teaching and research room teacher (second level mutual evaluation) teaching supervision and mutual evaluation online, wherein 5.1 is a platform of the teaching and research room teacher (second level mutual evaluation) teaching supervision and mutual evaluation online, 5.2 is used for evaluating the first level self-evaluation results, and 5.3 is used for proposing opinions and suggestions.

6. Fig. 6 is an online schematic diagram of the supervision of education and teaching of the college (third-level evaluation), wherein 6.1 is an online system of the supervision of education and teaching of the college (third-level evaluation), 6.2 is to evaluate the first-level self-evaluation result, 6.3 is to analyze the second-level mutual evaluation conclusion, and 6.4 is to propose opinions and suggestions.

7. Fig. 7 is a system diagram of the governor-guided evaluation, in which 7.1 is quantitative evaluation, 7.2 is an evaluation index, 7.3 is a score, 7.4 is a score, 7.5 is a total evaluation level, and 7.6 is a governor comment.

8. Fig. 8 is a diagram illustrating the academic director quantitative evaluation index and the weights, where 8.1 is the evaluation index, 8.2 is the teaching environment, 8.3 is the learning state, 8.4 is the situation of professor, 8.5 is the score, 8.6 is the score, and 8.7 is the total score.

Detailed Description

The invention provides a cloud teaching supervision method, relates to an internet cloud teaching supervision system, and particularly relates to a cloud teaching supervision method and an online cloud platform for cloud work of the cloud teaching supervision network, wherein the cloud teaching supervision method comprises the following steps:

A. as shown in fig. 1, in the embodiment 1, the supervising and managing manager (1) in the five primary columns includes two secondary sub-columns, i.e., a registered user (6) and an administrator (7);

B. as shown in fig. 1, the supervision and guidance evaluation (2) in the five first-level columns in the embodiment 1 includes five second-level sub-columns, namely, a first-level self-evaluation (8), a second-level mutual evaluation (9), a third-level evaluation (10), a fourth-level evaluation (11) and a fifth-level evaluation (12);

C. referring to fig. 1, the data analysis (3) in the five first-level columns in embodiment 1 includes five second-level sub-columns, i.e., a first-level analysis (13), a second-level analysis (14), a third-level analysis (15), a fourth-level analysis (16), and a fifth-level analysis (17);

D. referring to fig. 1, the diagnostic improvement (4) in the five primary columns described in embodiment 1 includes two secondary sub-columns of diagnosis (18) and improvement (19).

2. See fig. 2, it is assumed that the supervision dynamics (2.1), the notification requirements (2.2), and the supervision reports (2.3), and in the embodiment 1, the supervision dynamics (2.1) of the five first-level columns includes two second-level sub-columns of the notification requirements (2.2) and the supervision reports (2.3).

3. Referring to fig. 1, a registered user (6) in embodiment 1 includes four three-level sub-fields, i.e., a registered student (20), a registered teacher (21), a registered supervisor (22), and a registered captain (23).

4. Referring to fig. 3, in embodiment 1, the administrator includes a school level one administrator (3.1), a college level two administrator (3.2), a department level three administrator (3.3), and a research and development room level four administrator (3.4), and is characterized in that the school level one administrator (3.1), the college level two administrator (3.2), the department level three administrator (3.3), and the research and development room level four administrator (3.4) have different administrative authorities.

5. Referring to fig. 1 and 4, the characteristics of the first-level self-rating (8), the second-level mutual rating (9), the third-level rating (10), the fourth-level rating (11), and the fifth-level rating (12) in the embodiment 1 are as follows:

A. see fig. 4(a) (b) (c), in the embodiment 5, the first-level self-review (8) is provided with a teacher supervision online self-review system, and three major parts, namely basic supervision online teaching system information (4.1), a teacher supervision online self-review quantification system (4.26) and a teacher supervision online self-review scoring project (4.27), wherein the basic supervision online teaching system information (4.1) comprises teacher names (4.2), sexes (4.3), school calendars (4.4), ages (4.5), job titles (4.6), professions (4.7), teaching courses (4.8), classes (4.9) and student numbers (4.10); wherein, the teacher supervises the online self-evaluation quantitative system (4.26) which comprises a scoring item (4.11), an index and weight (4.22), a score (4.23), a self-evaluation score (4.24) and a total score (4.25); wherein, the teacher supervises and manages the online self-evaluation scoring project (4.27) to include a teaching target (4.12), teaching contents (4.13), a teaching process (4.14), a teaching means (4.15), teaching regulation and effect detection (4.16), teacher quality (4.17), teaching characteristics (4.18), a communication state (4.19), a thinking state (4.20) and an emotion state (4.21);

B. see fig. 4(a) a basic information schematic diagram of a supervision online teaching system, in the specific embodiment 5, the teacher name (4.2), the gender (4.3), the study calendar (4.4), the age (4.5), the title (4.6), the specialty (4.7), the teaching course (4.8), the class (4.9) and the number of students (4.10) form basic information (4.1) of the supervision online teaching system;

C. see fig. 4(b) a schematic diagram of a teacher supervision online self-evaluation quantification system, and the scoring item (4.11), the index and weight (4.22), the score value (4.23), the self-evaluation score (4.24), and the total score (4.25) in the specific embodiment 5 form the teacher supervision online self-evaluation quantification system (4.26);

D. referring to fig. 4(c), a schematic diagram of a teacher supervision online self-evaluation scoring project, in the specific embodiment 5, the teaching target (4.12), the teaching content (4.13), the teaching process (4.14), the teaching means (4.15), the detection of teaching regulation and effect (4.16), the teacher quality (4.17), the teaching characteristics (4.18), the communication state (4.19), the thinking state (4.20), and the emotion state (4.21) form the teacher supervision online self-evaluation scoring project (4.27);

E. referring to fig. 4, the teaching objective (4.12), the teaching content (4.13), the teaching process (4.14), the teaching means (4.15), the detection of teaching regulation and effect (4.16), the teacher quality (4.17) and the teaching feature (4.18) in the embodiment 5 belong to the teaching aspect;

F. see fig. 4, the interaction state (4.19), thinking state (4.20) and emotion state (4.21) of embodiment 5 belong to the academic aspect;

G. referring to fig. 4, the design score of the teaching objective (4.12) in the embodiment 5 is 10 points, the index and weight thereof include three aspects of objective appropriate teaching material requirement, student actual, cognition and behavior objective combination harmony and operability, and different standard reaching requirements of the objective on students of different levels, and the scores thereof are respectively 5, 3 and 2 in sequence;

H. referring to fig. 4, the design score of the teaching content (4.13) in the embodiment 5 is as small as 6, the indexes and weights thereof include three aspects of accuracy and information amount of knowledge, confidence of key points and difficulty, and quality of teaching materials and teaching notes, and the scores thereof are respectively 2, and 2 in sequence;

I. referring to fig. 4, in the teaching process (4.14) of the embodiment 5, the design score is counted as 8 points, the index and the weight of the teaching process include the rationality of the teaching activity flow structure, the structural flow is favorable for students to participate in learning practice, the rationality evaluation of the teaching rhythm and the teaching density, and whether the teaching process has the characteristics of the professional class, and the scores are respectively 4, 2, 1 and 1 in sequence;

J. referring to fig. 4, the teaching means (4.15) described in the embodiment 5 has a design score of 11, and the index and weight thereof include five aspects of teaching law attention prompting recognition rules and law guidance, appropriateness and effectiveness of situation creation, problem series design evaluation, rationality and efficiency of selection of audio-visual education media, and cultivation of student ability and excitation of emotion in the teaching law, and the scores thereof are respectively 4, 2, 3, 1 and 1 in sequence;

K. referring to fig. 4, the detection (4.16) of the teaching regulation and effect in the embodiment 5 has a design score of 8, indexes and weights thereof including timeliness and effectiveness of student information feedback, pertinence and openness of teaching arrangement, integration of physics and reality, sentiment consistency assessment, and classroom burden rationality assessment, and the scores thereof are respectively 2, and 2 in sequence;

l. see fig. 4, the teacher's quality (4.17) design score in embodiment 5 is as small as 7, and the indexes and weights thereof are as follows: firstly, the teaching state is elegant and natural, and the language is accurate and concise; demonstrating the operation specification and guiding the operation; the blackboard writing is scientific, neat and beautiful, and the use is correct, skillful and reasonably optimized by using visual teaching aids, modern teaching means and the like, and the blackboard writing is good at organization teaching and can be randomly adjusted; the scores are respectively 3, 2 and 2 in sequence;

m. as shown in fig. 4, the teaching characteristics (4.18) in the embodiment 5 have a design score of 5 points, and the indexes and weights thereof mainly examine whether they have unique creations and self-evaluations of effects in the aspects of creating a learning environment in a classroom structure, teaching and media applications, etc.;

referring to fig. 4, the design score of the communication state (4.19) in embodiment 5 is 10 points, and the indexes and weights thereof are as follows: the method has the advantages that multi-edge, rich and various information connection is realized; secondly, interpersonal communication in a classroom has a good cooperation atmosphere; the scores are respectively 5 and 5 in sequence;

see fig. 4, the design score of the thinking state (4.20) in embodiment 5 is 12 points, and the indexes and weights thereof are as follows: firstly, the problems are easy to be solved, and the findings are published; secondly, the problem and the insight have challenge and originality; thirdly, the practical creation of one-to-three expansion can be related; the scores are respectively 5, 5 and 2 in sequence;

p. see fig. 4, embodiment 5 emotional state (4.21)) design score is calculated as 8 points, and its indexes and weights are as follows: firstly, the feeling of tension and pleasure are moderate; secondly, learning emotion can be controlled and adjusted by self; the mind can be exercised by the habitat; fourthly, the emotional resonance is naturally and obviously revealed; the scores are respectively 2, 2 and 2 in sequence.

6. Referring to fig. 5, the second-level mutual evaluation (9) in the network platform second-level column in the cloud method for teaching supervision according to embodiment 5 is a link between the second-level mutual evaluation (9) in the teacher's teaching and research room (second-level mutual evaluation) and the online platform network system for teaching supervision and mutual evaluation, and the online platform (5.1) for teaching supervision and mutual evaluation of teaching and research room (second-level mutual evaluation) is provided for evaluating the first-level self-evaluation results (5.2) and proposing opinions and suggestions (5.3).

7. Referring to fig. 6, the third-level evaluation in the embodiment 5 refers to that the third-level evaluation (10) in the network platform second-level column in the cloud teaching supervision method provided by the present invention links the college supervision (third-level evaluation) online system for education, teaching supervision and evaluation, and the college supervision (third-level evaluation) online system for education, teaching supervision and evaluation (6.1) is set, the first-level self-evaluation result is evaluated (6.2), the second-level mutual evaluation conclusion is analyzed (6.3), and opinions and suggestions are made (6.4).

8. Referring to fig. 7, the fourth-level evaluation described in the embodiment 5 refers to that a fourth-level evaluation (11) in a network platform second-level column in the teaching supervision cloud method provided by the present invention links a supervision evaluation system, and sets quantitative evaluation (7.1), an evaluation index (7.2), a score (7.3), a score (7.4), an overall evaluation level (7.5), and a supervision comment (7.6); the method is characterized in that:

A. referring to fig. 8, the quantitative index setting college of embodiment 8 supervises quantitative evaluation indexes and weights, including an evaluation index (8.1), a teaching environment (8.2), a learning state (8.3), a professor scenario (8.4), a score (8.5), a score (8.6), and a total score (8.7);

B. referring to fig. 8, the teaching environment (8.2) according to embodiment 8 includes (i) the complete equipment and sufficient spare parts; secondly, the environment is clean and tidy and the arrangement is reasonable; the scores of the two evaluation scoring columns are 5 and 5 respectively, and the score of the teaching environment (8.2) is counted as 10;

C. referring to fig. 8, the learning state (8.3) in embodiment 8 includes that (c) class is reached on time and the spirit is full; fourthly, carefully studying and recording notes; thinking actively and leap in speech; the scores of the three evaluation scoring columns are respectively 5, 5 and 5, and the score of the learning state (8.3) is counted as 15;

D. referring to fig. 8, the teaching scenario (8.4) of embodiment 8 includes that the time and the appearance are nature; seventhly, preparing fully and teaching skillfully; eighthly, the key points are prominent and the effect is obvious; ninthly, paying attention to management and order; the left and right operators are interactive and have long teaching; five evaluation scoring columns with scores of 5, 20, 15 and 15 respectively; teach scenario (8.4) score is subtly 75;

E. the overall evaluation scale (7.5) described in embodiment 8 is set to the following: 90-100 minutes; good: 80-89 min; the method comprises the following steps: 60-79 min; difference: 0-59 min; four levels;

F. the supervision comment (7.6) described in the embodiment 8 suggests that the supervision comment is qualitatively commented on two major aspects of the main contents of the course, the teaching mode (including but not limited to lecture mode, project mode, discussion mode, case mode, actual operation mode, etc.) and the suggestion.

9. Referring to fig. 7, the five-level evaluation (12) in the embodiment 5 refers to a five-level evaluation (12) link supervision evaluation system in a network platform secondary column in the teaching supervision cloud method, and the method is characterized in that a supervision evaluation main body of the five-level evaluation (12) in the embodiment 5 is an overseas supervision (25), and the five-level evaluation (12) link quantitative evaluation, evaluation index, score, total evaluation level, and supervision comment set by the supervision evaluation system are consistent with the characteristics of the quantitative evaluation (7.1), evaluation index (7.2), score (7.3), score (7.4), total evaluation level (7.5), and supervision comment (7.6) set by the four-level evaluation in the embodiment 8.

A. in embodiment 10, the information cloud backup in the teaching and supervision cloud method provided by the present invention means that a network platform in the teaching and supervision cloud method provided by the present invention sets an automatic backup policy through a client, so as to implement daily, weekly, monthly, scholarly, yearly or instant automatic backup, and the backed-up file can implement version recovery at different times;

B. in embodiment 10, the big data cloud operation in the teaching and supervision cloud method provided by the present invention means that big data in a network platform in the teaching and supervision cloud method provided by the present invention automatically forms a database through big data entry, induction, analysis, and calculation in a cloud background, generates a calculation report, and completes output;

C. in embodiment 10, the intelligent self-error correction in the teaching and supervision cloud method provided by the present invention means that big data in a network platform in the teaching and supervision cloud method provided by the present invention has functions of complaint, film pull, and anomaly warning, and the cloud platform performs complaint, prompt, and error correction on the operation of the big data under abnormal conditions such as self-evaluation mutual evaluation dissatisfaction;

D. the on-line remote submission in the teaching supervision cloud method provided by the invention in the embodiment 10 means that five-level supervision transmits a supervision evaluation table filled on line to a group of data receiving devices through a network interface, a manager can directly receive the evaluation content of a field teacher and transmit the evaluation content in real time, a network platform is used to ensure that a school supervision room can remotely receive the supervision evaluation table for five-level supervision on line, and the management work can be performed in multiple school zones, across regions and paperless manner through rapidness, no distance and anytime and anywhere;

E. in the embodiment 10, the managing multiple levels in the cloud teaching and supervision method provided by the present invention means that different limited management permissions are granted to a background administrator of the cloud teaching and supervision method provided by the present invention according to different management levels of a research and development room, a department, a secondary college, and a school.

15. Referring to fig. 1, the first-level analysis (13), the second-level analysis (14), the third-level analysis (15), the fourth-level analysis (16), and the fifth-level analysis (17) according to embodiment 1 are evaluation results of the first-level self-evaluation (8), the second-level mutual evaluation (9), the third-level evaluation (10), the fourth-level evaluation (11), and the fifth-level evaluation (12) according to embodiment 4, which are in one-to-one correspondence with the results of the automatic big data analysis by the machine, and are characterized in that:

16. The diagnosis improvement (4) described in embodiment 1 is to provide improvement opinions such as internal culture and external introduction, teaching and research, local service, education and education fusion and the like for the machine automatic big data analysis diagnosis results of the first-level self-evaluation (8), the second-level mutual evaluation (9), the third-level evaluation (10), the fourth-level evaluation (11) and the fifth-level evaluation (12) described in embodiment 5.

And secondly, developing a website which is in accordance with the module, column, framework, function and characteristic of the specific embodiment and can realize the function of the method for teaching, supervising and cloud management according to the characteristics of the specific embodiment.

Third, concrete operation steps of website for teaching supervision cloud method

1. Operation example 1:

A. the school level first-level administrator checks the secondary administrator of the school, the series level third-level administrator and the teaching and research room fourth-level administrator list, sets the corresponding permissions of the secondary administrator of the school, the series level third-level administrator and the teaching and research room fourth-level administrator, generates the initial administrator login name and the initial login password of the secondary administrator of the school, the series level third-level administrator and the teaching and research room fourth-level administrator, and sends out related invitation, registration notice and notice.

B. The class-four manager of the teaching and research room imports relevant student basic information data in a 'registered student' column, informs an instructor to check a class student list by taking a class as a unit, sets corresponding authority of the registered student, generates an initial login name and an initial login password of the registered student, and sends out related invitation, registration notice and notice.

C. The fourth-level manager of the teaching and research room imports relevant teacher basic information data in a 'registered teacher' column, informs a master administrator of the teaching and research room to check a teacher list by taking the teaching and research room as a unit, sets corresponding authority of the registered teacher, generates a login name and an initial password of the registered teacher, and sends out related invitation, registration notice and notice.

D. The school level first-level administrator imports relevant supervision basic information data in a 'registration supervision' column, sets corresponding permissions of the registration supervision, generates a registration supervision login name and an initial password, and sends out related invitation, registration notice and notice.

E. The hierarchical three-level manager imports the basic information data of the relative parents in the 'registered parents' column, sets the corresponding authority of the registered parents, generates the login name and the initial password of the registered parents, and sends out the related invitation, the registration notice and the notice

2. Operation example 2:

A. the registered students log in the website of the teaching supervision cloud method provided by the invention, complete registration according to the prompt of the website and relevant requirements, and modify user names and passwords.

B. And the registered teacher logs in the website of the teaching supervision cloud method provided by the invention, finishes registration and modifies the user name and the password according to the website prompt and relevant requirements.

C. Registering, supervising and logging in the website of the teaching, supervising and cloud guiding method provided by the invention, the registration is completed and the user name and the password are modified according to the website prompt and the relevant requirements.

D. Registering parents to log in the website of the teaching supervision cloud method provided by the invention, completing registration according to the prompt of the website and relevant requirements, and modifying a user name and a password.

3. Operation example 3:

school level first-level managers issue the scholarly supervision work arrangement, time nodes and cautions in the supervision dynamic column.

4. Operation example 4:

registering students, registering teachers, registering supervision and registering parents to release the supervision work arrangement, time nodes and notice reading places of the school period according to the supervision dynamic column:

A. after the teacher registers, according to the authority and the website prompt, the first-level self-evaluation and the second-level mutual evaluation are sequentially carried out in the columns of the first-level self-evaluation and the second-level mutual evaluation.

B. After the registration is supervised, evaluation is carried out according to the website prompt in the third-level evaluation, the fourth-level evaluation and the fifth-level evaluation according to the authority.

C. After the students register, the students participate in evaluation and education and feedback of teaching information according to the authority and website prompt.

D. And after the parents register, adding feedback opinions according to the authority and the website prompt.

5. Operation example 5:

A. a school level first-level manager exports a first-level evaluation, a second-level evaluation, a third-level evaluation, a fourth-level evaluation and a fifth-level evaluation automatic analysis data chart in a website background, and an analysis report is automatically generated;

B. a school level first-level administrator leads out a first-level analysis chart, a second-level analysis chart, a third-level analysis chart, a fourth-level analysis chart, a fifth-level analysis chart and an explanation in sequence;

C. school level first-level managers give school teaching supervision work reports, and exemplify ways of enabling the quantity and quality of teachers and materials to meet the diagnosis and improvement requirements of education halls through integration of internal culture and external introduction, teaching and research, local service and birth and education.

Claims

1. A cloud method for teaching supervision is an online cloud platform for teaching supervision network work, and comprises five primary columns including a supervision manager (1), a supervision evaluation (2), a data analysis (3), a diagnosis improvement (4) and a supervision dynamic state (5), wherein the cloud method for teaching supervision (0), the supervision manager (1), the supervision evaluation (2), the data analysis (3), the diagnosis improvement (4), the supervision dynamic state (5), a registered user (6), a manager (7), a primary self-evaluation (8), a secondary mutual evaluation (9), a tertiary evaluation (10), a quaternary evaluation (11), a quinary evaluation (12), a primary analysis (13), a secondary analysis (14), a tertiary analysis (15), a quaternary analysis (16), a quinary analysis (17), a diagnosis (18), an improvement (19), a registered student (20), a registered teacher (21), a registered supervision (22), Register the head of a family (23), school is interior to supervise (24), school is outer to supervise (25), characterized by:

A. the supervision and supervision housekeeper (1) comprises two secondary sub-columns, namely a registered user (6) and a manager (7);

B. the supervision and evaluation (2) comprises five secondary sub-columns of first-level self-evaluation (8), second-level mutual evaluation (9), third-level evaluation (10), fourth-level evaluation (11) and fifth-level evaluation (12);

C. the data analysis (3) comprises five secondary sub-columns of primary analysis (13), secondary analysis (14), tertiary analysis (15), quaternary analysis (16) and quinary analysis (17);

D. the diagnosis improvement (4) comprises two secondary sub-columns of diagnosis (18) and improvement (19);

E. the supervision dynamic state (2.1) comprises two secondary sub-columns of a notification requirement (2.2) and a supervision cycle report (2.3);

F. a registered user (6) is provided with four three-level sub-columns, namely a registered student (20), a registered teacher (21), a registered supervising guide (22) and a registered captain (23);

G. the manager is provided with a school level first-level manager (3.1), a college second-level manager (3.2), a system level third-level manager (3.3) and a teaching and research room fourth-level manager (3.4), and is characterized in that the school level first-level manager (3.1), the college second-level manager (3.2), the system level third-level manager (3.3) and the teaching and research room fourth-level manager (3.4) have different management authorities.

2. The characteristics of the first-level self-evaluation (8), the second-level mutual evaluation (9) and the third-level evaluation (10) are as follows:

A. the first-level self-evaluation (8) is linked with a teacher supervision online self-evaluation system, and the teacher supervision online self-evaluation system is provided with three major parts, namely supervision online teaching system basic information (4.1), a teacher supervision online self-evaluation quantification system (4.26) and a teacher supervision online self-evaluation scoring project (4.27); wherein, the basic information (4.1) of the supervising online teaching system comprises teacher names (4.2), sexes (4.3), lessons (4.4), ages (4.5), titles (4.6), professions (4.7), teaching courses (4.8), classes (4.9) and student numbers (4.10); wherein, the teacher supervises the online self-evaluation quantitative system (4.26) which comprises a scoring item (4.11), an index and weight (4.22), a score (4.23), a self-evaluation score (4.24) and a total score (4.25); wherein, the teacher supervises and manages the online self-evaluation scoring project (4.27) to include a teaching target (4.12), teaching contents (4.13), a teaching process (4.14), a teaching means (4.15), teaching regulation and effect detection (4.16), teacher quality (4.17), teaching characteristics (4.18), a communication state (4.19), a thinking state (4.20) and an emotion state (4.21);

B. teacher name (4.2), gender (4.3), school calendar (4.4), age (4.5), job title (4.6), specialty (4.7), teaching course (4.8), class (4.9) and student number (4.10) form basic information (4.1) of the supervising and online teaching system;

C. the scoring item (4.11), the index and weight (4.22), the score (4.23), the self-scoring score (4.24) and the total score (4.25) form a teacher supervising online self-scoring quantification system (4.26);

D. a teaching target (4.12), teaching contents (4.13), a teaching process (4.14), a teaching means (4.15), a teaching regulation and effect detection (4.16), a teacher element (4.17), a teaching characteristic (4.18), a communication state (4.19), a thinking state (4.20) and an emotion state (4.21) form a teacher supervision online self-evaluation scoring project (4.27);

E. teaching targets (4.12), teaching contents (4.13), teaching processes (4.14), teaching means (4.15), teaching regulation and effect detection (4.16), teacher quality (4.17) and teaching characteristics (4.18) belong to the aspects of supervision and education;

F. the interaction state (4.19), the thinking state (4.20) and the emotion state (4.21) belong to the governor;

G. the design score of a teaching target (4.12) is counted as 10 points, the index and the weight of the teaching target comprise three aspects of target appropriate teaching material requirements, student reality, cognition and behavior target combination harmony and operability, and the target has different standard reaching requirements on students at different levels, and the scores are respectively 5, 3 and 2 in sequence;

H. the design score of the teaching content (4.13) is 6 points, the indexes and the weights of the teaching content comprise three aspects of the accuracy and the information quantity of knowledge, the mastery degree of key points and the quality of teaching materials and teaching notes, and the scores are respectively 2, 2 and 2 in sequence;

I. the design score of the teaching process (4.14) is 8 points, the indexes and weights of the teaching process comprise the reasonability of a teaching activity flow structure, the reasonability evaluation of a teaching rhythm and density and the judgment of whether the teaching activity flow structure has the characteristics of a professional class, and the scores are respectively 4, 2, 1 and 1 in sequence;

J. the design score of the teaching means (4.15) is counted as 11 points, the indexes and the weights of the teaching means comprise five aspects of attention prompt understanding rule and law learning guidance of a teaching law, appropriateness and effectiveness of situation creation, problem series design evaluation, rationality and efficiency of selection of electrified education media, cultivation of student ability and excitation of emotion in the teaching law, and the scores are respectively 4, 2, 3, 1 and 1 in sequence;

K. the design score of the teaching regulation and effect detection (4.16) is counted as 8 points, the indexes and the weights of the teaching regulation and effect detection include timeliness and effectiveness of student information feedback, pertinence and openness of teaching arrangement, integration of physics and reality, consistence evaluation of emotion and reason and reasonability evaluation of classroom burden, and the scores are respectively 2, 2 and 2 in sequence;

l. teacher quality (4.17) design score is 7 points, and the indexes and weights are as follows: firstly, the teaching state is elegant and natural, and the language is accurate and concise; demonstrating the operation specification and guiding the operation; the blackboard writing is scientific, neat and beautiful, and the use is correct, skillful and reasonably optimized by using visual teaching aids, modern teaching means and the like, and the blackboard writing is good at organization teaching and can be randomly adjusted; the scores are respectively 3, 2 and 2 in sequence;

m. teaching characteristics (4.18) design score is small and is 5 points, and indexes and weights of the teaching characteristics mainly investigate whether the teaching characteristics have unique creations and self-evaluation of effects in aspects of classroom structure creation and study environment, teaching method, media application and the like;

n. the design score of the interaction state (4.19) is 10 points, and the indexes and weights are as follows: the method has the advantages that multi-edge, rich and various information connection is realized; secondly, interpersonal communication in a classroom has a good cooperation atmosphere; the scores are respectively 5 and 5 in sequence;

the design score of the thinking state (4.20) is 12 points, and the indexes and the weights are as follows: firstly, the problems are easy to be solved, and the findings are published; secondly, the problem and the insight have challenge and originality; thirdly, the practical creation of one-to-three expansion can be related; the scores are respectively 5, 5 and 2 in sequence;

p. emotional state (4.21)) design score is counted as 8 points, and the indexes and weights are as follows: firstly, the feeling of tension and pleasure are moderate; secondly, learning emotion can be controlled and adjusted by self; the mind can be exercised by the habitat; fourthly, the emotional resonance is naturally and obviously revealed; the scores are respectively 2, 2 and 2 in sequence;

q, secondary mutual evaluation (9), namely the colleges are divided by taking the teaching and research room as a unit, and teachers evaluate teaching links of the teachers in the teaching and research room according to related requirements of 'teaching and teaching mutual evaluation operation rules of the colleges and colleges for teachers in the colleges and colleges' formulated by the teaching management committee of the colleges;

r. a second-level mutual evaluation (9) in a network platform second-level column in a teaching supervision cloud method is linked with a teaching and research room teacher (second-level mutual evaluation) teaching supervision online platform network system, the teaching and research room teacher (second-level mutual evaluation) teaching supervision online platform (5.1) is arranged, a first-level self-evaluation result is evaluated (5.2), and an opinion and a suggestion are provided (5.3);

s, performing three-level evaluation, namely, college supervision evaluation, and evaluating the teaching conditions of courses and any teacher according to college supervision lists selected by a college academic committee and a teaching management committee and a college supervision manual in the form of regularly listening to 5 sections of evaluation lessons and irregularly listening to 5 sections of evaluation lessons; a three-level evaluation (10) in a network platform secondary column in a teaching supervision cloud method is linked with a college supervision (three-level evaluation) education, teaching, supervision and evaluation online system, the college supervision (three-level evaluation) education, teaching, supervision and evaluation online system (6.1) is arranged, a first-level self-evaluation result is evaluated (6.2), a second-level mutual evaluation conclusion is analyzed (6.3), and an opinion and a suggestion are proposed (6.4);

t. three-level evaluation (10) is that the three-level evaluation (10) in the network platform second-level column in the teaching supervision cloud method links the college supervision (three-level evaluation) education, teaching, supervision and evaluation online system, the college supervision (three-level evaluation) education, teaching, supervision and evaluation online system (6.1) is arranged, the first-level self-evaluation result is evaluated (6.2), the second-level mutual evaluation conclusion is analyzed (6.3), and the suggestion and suggestion are proposed (6.4).

3. The four-level evaluation (11) is group supervision evaluation, and mainly means that leaders at all levels of a group evaluate teaching conditions of courses and teachers in any course by adopting 2 courses for recommending courses for a supervision room of a college and 2 courses for randomly listening and evaluating according to related requirements of a group supervision handbook customized by a group teaching management committee; the four-level evaluation refers to a four-level evaluation (11) link supervision evaluation system in a network platform two-level column in a teaching supervision cloud method, and a quantitative evaluation (7.1), an evaluation index (7.2), a score (7.3), a score (7.4), an overall evaluation grade (7.5) and a supervision comment (7.6) are set; the method is characterized in that:

A. quantitative index institute supervises and guides quantitative evaluation indexes and weights, wherein the quantitative evaluation indexes comprise evaluation indexes (8.1), teaching environments (8.2), learning states (8.3), professor situations (8.4), scores (8.5), scores (8.6) and total scores (8.7);

B. the teaching environment (8.2) comprises that the equipment is complete and the spare parts are sufficient; secondly, the environment is clean and tidy and the arrangement is reasonable; the scores of the two evaluation scoring columns are 5 and 5 respectively, and the score of the teaching environment (8.2) is counted as 10;

C. the learning state (8.3) comprises that the user can go to class on time and is full of spirit; fourthly, carefully studying and recording notes; thinking actively and leap in speech; the scores of the three evaluation scoring columns are respectively 5, 5 and 5, and the score of the learning state (8.3) is counted as 15;

D. teaching scenarios (8.4) include adherence to time, nature of ceremonial attitude; seventhly, preparing fully and teaching skillfully; eighthly, the key points are prominent and the effect is obvious; ninthly, paying attention to management and order; the left and right operators are interactive and have long teaching; five evaluation scoring columns with scores of 5, 20, 15 and 15 respectively; teach scenario (8.4) score is subtly 75;

E. overall rating scale (7.5), set excellent: 90-100 minutes; good: 80-89 min; the method comprises the following steps: 60-79 min; difference: 0-59 min; four levels;

F. the supervision comment (7.6) suggests the supervision and the qualitative review from the main contents of the course and teaching modes (including but not limited to teaching mode, project mode, discussion mode, case mode, actual practice mode, etc.) and suggests two major aspects.

4. The five-level evaluation (12) refers to the five-level evaluation (12), namely the outside-school supervision evaluation, and mainly refers to that the outside-school supervision adopts a mode that 2 lessons recommend courses for a school supervision room, and 2 lessons are randomly listened to for evaluation to the courses and the teaching condition of a lesson-giving teacher; a five-level evaluation (12) link supervision evaluation system in a network platform secondary column in a teaching supervision cloud method is characterized in that a supervision evaluation main body of the five-level evaluation (12) is an overseas supervision system (25) in invention content 5, and the five-level evaluation (12) link supervision evaluation system is provided with quantitative evaluation, evaluation indexes, scores, overall evaluation grades and supervision comments which are consistent with the characteristics of the quantitative evaluation (7.1), the evaluation indexes (7.2), the scores (7.3), the scores (7.4), the overall evaluation grades (7.5) and the supervision comments (7.6) of the four-level evaluation in invention content 8.

5. A teaching supervision cloud method has the functions of information cloud backup, big data cloud operation, intelligent self-error correction, online remote submission, multi-level management and the like, and is characterized in that:

A. the information cloud backup in the teaching supervision cloud method is that a network platform in the teaching supervision cloud method provided by the invention sets an automatic backup strategy through a client to realize automatic backup on a daily basis, a weekly basis, a monthly basis, a scholarly basis, a yearly basis or an instant basis, and backed-up files can be restored in versions at different times;

B. the big data cloud operation in the teaching supervision cloud method is that big data in a network platform in the teaching supervision cloud method automatically form a database through big data input, induction, analysis and calculation by a cloud background, a calculation report is generated, and output is completed;

C. the intelligent self-correction in the teaching supervision cloud method is that big data in a network platform in the teaching supervision cloud method has functions of complaint, sheet pulling and abnormity warning, and the cloud platform carries out complaint, prompt and correction on the operation of the big data under abnormal conditions of self-evaluation mutual evaluation dissatisfaction and the like;

D. the online remote submission in the teaching supervision cloud method means that five-level supervision transmits a supervision evaluation table filled online to a group of data receiving devices through a network interface, a manager can directly receive the evaluation content of a field teacher and transmits the evaluation table in real time, a network platform is used for meeting the requirement that a school supervision room can remotely receive the supervision evaluation table of the five-level supervision on line, and the supervision work can be performed in multiple school areas, across regions and paperless schools of a college through rapidness, no distance and any time and any place;

E. the management multi-level in the teaching supervision cloud method means that different limited management authorities are granted to a background manager of the teaching supervision cloud method according to different management levels of a teaching and research room, a department, a secondary college and a school.

6. The first-level analysis (13), the second-level analysis (14), the third-level analysis (15), the fourth-level analysis (16) and the fifth-level analysis (17) correspond to the evaluation results of the first-level self-evaluation (8), the second-level mutual evaluation (9), the third-level evaluation (10), the fourth-level evaluation (11) and the fifth-level evaluation (12) and are compared with the automatic big data analysis of a machine in a one-to-one correspondence mode, and the method is characterized in that:

7. The diagnosis improvement (4) is to provide improvement opinions such as internal culture and external introduction, teaching and research, local service, birth and education fusion and the like aiming at the machine automatic big data analysis diagnosis result of the first-level self-evaluation (8), the second-level mutual evaluation (9), the third-level evaluation (10), the fourth-level evaluation (11) and the fifth-level evaluation (12), so that the quantity and the quality of teachers and materials meet the requirements of diagnosis and improvement of an education hall.