CN112381693A - Method and system for managing and optimizing textbook courses - Google Patents
Method and system for managing and optimizing textbook courses Download PDFInfo
- Publication number
- CN112381693A CN112381693A CN202011419237.5A CN202011419237A CN112381693A CN 112381693 A CN112381693 A CN 112381693A CN 202011419237 A CN202011419237 A CN 202011419237A CN 112381693 A CN112381693 A CN 112381693A
- Authority
- CN
- China
- Prior art keywords
- teaching
- data
- course
- evaluation
- optimization
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 82
- 238000011156 evaluation Methods 0.000 claims abstract description 78
- 230000008569 process Effects 0.000 claims abstract description 37
- 238000004458 analytical method Methods 0.000 claims abstract description 16
- 238000007405 data analysis Methods 0.000 claims abstract description 9
- 238000012549 training Methods 0.000 claims abstract description 6
- 238000005457 optimization Methods 0.000 claims description 45
- 238000012545 processing Methods 0.000 claims description 18
- 230000003993 interaction Effects 0.000 claims description 12
- 230000006399 behavior Effects 0.000 claims description 10
- 238000005065 mining Methods 0.000 claims description 8
- 230000000007 visual effect Effects 0.000 claims description 6
- 238000010586 diagram Methods 0.000 claims description 4
- 238000013480 data collection Methods 0.000 claims description 3
- 238000007418 data mining Methods 0.000 claims description 3
- 230000007547 defect Effects 0.000 abstract description 3
- 230000008901 benefit Effects 0.000 abstract description 2
- 230000008520 organization Effects 0.000 abstract description 2
- 238000007726 management method Methods 0.000 description 21
- 230000000694 effects Effects 0.000 description 7
- 239000000969 carrier Substances 0.000 description 4
- 230000002068 genetic effect Effects 0.000 description 3
- 230000008447 perception Effects 0.000 description 3
- 230000000737 periodic effect Effects 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000005284 excitation Effects 0.000 description 2
- 230000014509 gene expression Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 238000011002 quantification Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 238000005034 decoration Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000012854 evaluation process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 235000021184 main course Nutrition 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005498 polishing Methods 0.000 description 1
- 238000013441 quality evaluation Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
- G06Q50/2057—Career enhancement or continuing education service
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Educational Administration (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- Educational Technology (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method and a system for managing and optimizing textbooks, which relate to the field of teaching methods and comprise a lesson opening link, a lesson giving link and a lesson ending evaluation link. By the method and the system for managing and optimizing the school books and courses, teachers can be guided to consciously refine standard culture targets, and educational theories and personalized practices are associated; tools and data analysis are given in the teaching process, and teachers are reminded to adjust the teaching mode without deviating from the preset target or recognizing the defect of the preset target; meanwhile, an analysis report is automatically formed when lessons are finished, so that the burden of teachers is reduced; through the mode of data statistics, can the scale find course and teacher open the commonality problem of teaching, do benefit to school, education office pertinence organization course and develop and teacher's training.
Description
Technical Field
The invention relates to the field of smart campuses, in particular to a method and a system for school book course management and optimization.
Background
Along with the improvement of the teaching requirements of quality education, schools can require a large number of school book special courses to be set, and provide more personalized course selection opportunities for students by combining comprehensive conditions of own regions, school districts, school conditions and the like, so that the students are cultivated from more aspects. In many cases, a teacher of a course is assumed to be a master teacher, and social institutions are beginning to collectively assume a form of teaching related to the course, so that resources are effectively utilized in a more intensive manner.
However, in the prior art, the related promotion work can be performed by submitting a teaching reflection through a traditional paper form, but because the teaching process is a long-term process and a plurality of lessons exist, and the school book lacks a standard teaching outline guidance, the effective data acquisition and reflection promotion are difficult, and the teaching process usually flows in forms. For the management of the course teaching process and effect, different from the traditional main course, the course is on the surface for a long time, and the teaching management link is difficult to be effectively reached, only partial shot video and image data, target data when the course is opened, teaching space decoration of course construction, high-grade, luxury, technical content and other concepts which are difficult to quantify are often displayed.
The main reason is that compared with the content of the traditional standardized teaching, the similar courses emphasize individuation, progress with time and rapid upgrade, and as for the teaching process and method, there are not too many case methods that can be followed, so that it is difficult to find a proper teacher training and guidance scheme.
Similarly, the traditional online teaching, teaching and research management platform is adopted, and the teaching quality evaluation can be generally carried out only by uploading teaching image resources by teachers, engaging relevant experts for grading and the like. However, the problem is that for a special course which is created by a school, the degree of individuation is very high, and matching of relevant expert resources is difficult, so that the cost for pertinently guiding a teacher to improve the teaching result becomes very high, for example, in some forms of adding an AI to a camera, the learning process data of the student can be observed, but relevant contents cannot mark the teaching behavior of the teacher, and cannot be associated with a teaching content method, so that the improvement effect on teaching is limited, and the burden of the teacher is increased easily.
Therefore, those skilled in the art are dedicated to develop a campus interest characteristic course (school book course) management and optimization method and system, so that the interest characteristic course is established, quantized, structured and digitalized through technical means, and a long practical effect of teaching is really obtained.
Disclosure of Invention
In view of the above-mentioned defects of the prior art, the technical problem to be solved by the present invention is how to develop a methodology for establishing interest-specific courses, and further modify the course goal and/or the direction or specific scheme of the teaching method from course goal setting, polishing of the teaching method, interactive collection of the teaching process, data analysis, and quantitative comparison analysis after the course is finished.
In order to achieve the purpose, the invention provides a method for managing and optimizing the school book courses, which comprises a course opening link, a course giving link and a course ending evaluation link, wherein the method comprises the steps of collecting the structured data of the course opening link, the course giving link and the course ending evaluation link, mining and analyzing the structured data, and giving a teaching adjustment suggestion of the school book courses.
Further, the structured data of the lesson opening link comprises a teaching target specification and a teaching process specification, wherein the teaching target specification comprises a course culture total target, a teaching evaluation index, a family evaluation index, a student self-evaluation index and a corresponding evaluation scale; the teaching process specification comprises teaching class hours, sub-standards for teaching in class time, evaluation indexes in class time, learning resources used in class time, learning task requirements in class time and achievement requirements in stage learning.
Further, the class hour evaluation index belongs to a subset of the evaluation scale.
Furthermore, the structured data of the teaching links comprise student performance and learning results in each teaching session, the student performance in each teaching session is evaluation data of student behaviors, and one student can have no or multiple pieces of data in one session; the learning result is recorded in the form of characters, pictures or audios and videos; the student performance further comprises one or more of attendance, attention, hand lifting, practice participation and data query reading times.
Further, the structured data of the lesson ending evaluation comprises result comparison and process optimization, wherein the result comparison comprises the statistical result of lesson ending evaluation information of all, part or single students and the comparison condition of preset teaching targets of other lessons; the process optimization comprises the statistical information of the use condition of the evaluation indexes, the access condition of the learning resources and the participation and completion condition of the learning tasks in the teaching process of the teacher and the comparison reference of the preset teaching evaluation indexes, the preset resources and the preset tasks.
Furthermore, the teaching adjustment suggestion refers to that data are preset according to the teaching process through an informatization system, and data acquisition and analysis are performed in combination with the teaching process and the lesson ending evaluation process, so that teachers are helped to find differences, and an education method is optimized; the optimization education method comprises the steps of adjusting teaching targets and sub-targets, evaluating tables, the interaction frequency and form of teachers and students, task setting and data selection; but also the teacher's own teaching reflection, concurrence and/or third party expert comments.
Furthermore, in the longer teaching link, post-season comparison and process optimization data processing of a periodic teaching unit are adopted.
The invention also provides a book course management and optimization system, which comprises a service client, a service processing server and a teaching data center, wherein the service client is used for user access, is constructed in a server and client form, supports cross-platform and comprises one or a combination of a webpage subsystem, a mobile application subsystem and a desktop application subsystem.
Furthermore, the teaching data center is a data and intelligent processing center for storing, mining, analyzing and providing teaching suggestions, and is used for storing, managing and analyzing related teaching data and giving targeted teaching suggestions according to mining analysis results and third-party expert evaluation; and the third-party expert evaluates the given teaching suggestions, and inputs the teaching data center through a special service interface, wherein the form of the teaching data center comprises one or a combination of texts, diagrams and audios and videos.
Further, the service processing server is used for processing service interaction of the service client and performing data interaction with the teaching data center, and comprises a course setting and course selection module, a course teaching management module, a course summarizing module and a data statistics and chart generation module; the course setting, course giving management and course summarization module is used for supporting the course setting link, the course giving link and the course ending evaluation link in the school book course management and optimization method; the data statistics and chart generation module is used for acquiring standard growth data and data generated by secondary/multiple processing such as data mining analysis, teaching suggestions and the like from the teaching data center through an interface, generating a corresponding visual chart and displaying the visual chart through the service client.
The invention relates to a method for managing and optimizing textbooks, which is a method for intelligently helping teachers improve teaching and managing and optimizing the special textbooks of schools by collecting interactive data with students in the process of teacher teaching and then analyzing the data. The system uses three key links of preparing lessons, giving lessons and ending lessons. The teacher presets evaluation indexes of a plurality of student training targets during lessons, then in the course of teaching, through tools, the student performance data observed by the teacher and the observation indexes guiding parents to conduct post-lesson work performance of students in the course of teaching are collected, and through data statistics and analysis, inconsistent positions of the preset target completion conditions are found and reminded to the teacher for analysis, and unified arrangement of materials is carried out in the course-ending link, and appropriate reports are automatically given for further teaching thoughts and case accumulation. The accumulation of relevant data can also be used for performing similar or cross-category, personal, school and other teaching comparison and retting, and is used for decision analysis and education guidance of education management institutions at higher levels.
By the method and the system for managing and optimizing the school books and courses, teachers can be guided to consciously refine standard culture targets, and educational theories and personalized practices are associated; tools and data analysis are given in the teaching process, and teachers are reminded to adjust the teaching mode without deviating from the preset target or recognizing the defect of the preset target; meanwhile, an analysis report is automatically formed when lessons are finished, so that the burden of teachers is reduced; through the mode of data statistics, can the scale find course and teacher open the commonality problem of teaching, do benefit to school, education office pertinence organization course and develop and teacher's training.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
FIG. 1 is a flow chart of a method for book course management and optimization in accordance with a preferred embodiment of the present invention;
FIG. 2 is a functional block diagram of a book course management optimization service system in accordance with a preferred embodiment of the present invention.
Detailed Description
The technical contents of the preferred embodiments of the present invention will be more clearly and easily understood by referring to the drawings attached to the specification. The present invention may be embodied in many different forms of embodiments and the scope of the invention is not limited to the embodiments set forth herein.
In the drawings, structurally identical elements are represented by like reference numerals, and structurally or functionally similar elements are represented by like reference numerals throughout the several views. The size and thickness of each component shown in the drawings are arbitrarily illustrated, and the present invention is not limited to the size and thickness of each component. The thickness of the components may be exaggerated where appropriate in the figures to improve clarity.
Example one
As shown in fig. 1, the method for managing and optimizing school courses in this embodiment is directed to management of school characteristic development courses and intelligent optimization of teaching methods, and by dividing the teaching process of a characteristic course set up by a school into three main links of course setting up, teaching and ending assessment, and by collecting data of corresponding links and mining and analyzing the data, teaching adjustment suggestions are automatically provided, thereby helping a teacher and the school autonomously and intelligently optimize the setting up of courses and the management of teaching methods.
The teaching optimization adjustment method comprises three main business links of teaching, teaching and result evaluation and corresponding teaching optimization adjustment suggestions, wherein each link is provided with corresponding structured data acquisition requirements as data support of the teaching optimization adjustment suggestions through the whole course teaching service scene.
The structured data acquisition requirement of the course-opening link is mainly a structural requirement in the course planning aspect, and comprises but is not limited to a teaching target specification and a teaching process specification, wherein the teaching target specification comprises but is not limited to a teaching target and an evaluation scale such as a course cultivation total target, a teaching evaluation index, a family evaluation index, a student self-evaluation index and the like, and the evaluation scale is a commonly-used evaluation tool in the field and can be a qualitative, semi-quantitative or quantitative index. The teaching process specification includes, but is not limited to, teaching class hours, sub-goals for teaching class time, class time evaluation indexes, learning resources used in class time, class time learning task requirements, staged learning achievement requirements and the like, and the class time evaluation indexes belong to a subset of the evaluation scale.
The structured data acquisition requirement of the teaching link is mainly a data acquisition structure requirement in the course teaching implementation process and comprises two types of data of student performance and learning result in each teaching, wherein the student performance data in each teaching refers to evaluation data of student behaviors recorded in various modes, and the corresponding data specification follows the evaluation scale. The student performance data is evaluation information for each student, and one student may have 0 or a plurality of pieces of data without an upper limit in one class hour. The student performance data may also include other behavior data of the student, such as attendance, attention, hands-up, participation in practice, number of readings for data queries, and the like, in addition to the aforementioned tables. The learning achievement data of each class teaching is the achievement record of the student learning recorded by various modes, and the forms can be characters, pictures, audios and videos and the like. For the student learning result data, each student can correspond to 0 or a plurality of pieces of data without upper limits and forms in one class.
The structural data acquisition requirements of the course ending evaluation link are mainly the data acquisition and processing structural requirements after course teaching is finished, and comprise result comparison and process optimization data, wherein the result comparison comprises the statistical result of the course ending evaluation information of all, part or single students and the comparison condition of the preset teaching targets of other courses; the process optimization includes but is not limited to statistical information of evaluation index use condition, learning resource access condition and learning task participation completion condition in the teacher teaching process, and comparison reference with preset teaching evaluation index, preset resource and preset task; in order to conveniently and intuitively find the difference points, the data comparison information can be presented by adopting various chart styles such as a histogram, a radar chart and the like. The corresponding teaching optimization adjustment suggestion refers to the fact that data collection and analysis are carried out through an informatization system according to preset data in a course opening link and through the combination of a teaching link and a course ending evaluation link, a teacher is helped to find differences, and an education method is optimized; the optimization education method can be but is not limited to various modes such as adjustment of teaching targets and sub-targets, evaluation scales, interaction frequency and forms of teachers and students, task setting, data selection and the like; for better optimization and recommendation, the optimization adjustment suggestion can introduce more resources such as peer experts and third-party experts besides the teaching thinking of the lecturer, and give targeted evaluation, suggestion or guidance by means of related data; in order to facilitate the effective evaluation and management supervision of the teaching effect by school or higher-level service managers, the data acquisition and analysis work can be carried out at different levels until the individual work performance assessment and excitation of teachers. For more timely optimization intervention, post-season comparison and process optimization data processing of periodic teaching units can also be adopted in the teaching process, so that data analysis can be better performed.
To more clearly illustrate the method of the present embodiment, a practical example is given below, such as a school plan, which opens a school book course to develop the practical ability, space perception ability and team cooperation ability of students.
According to the structured data acquisition requirement of a course-opening link, two parts of a teaching target specification and a teaching process specification are required to be formulated, wherein the teaching target specification comprises a course culture total target, namely the practical ability, the space perception ability and the team cooperation ability of students, teaching evaluation indexes, namely 2 pieces of paper-folded handmade works are completed, one of the works is an easier paper box or a paper plane, the other work is a harder paper crane, quantitative scale evaluation is performed on the completion degree, the perfection degree and the teacher intervention degree of each student, if the incomplete evaluation is 1 point, the roughly completed evaluation is 2 points, the teacher slightly intervenes for 3 points, and if the non-intervened students finish 5 points independently. The family evaluation index, namely the scale evaluation of similar quantification of the completion degree and the intervention degree of the student works by the parents. The self-evaluation index of the student is the scale evaluation which is used for similar quantification of the completion degree and the perfection degree of the student according to the work of the student. The teaching process is standard, including teaching class hours, such as 3 classes, sub-targets for teaching in class, such as finishing the perceptual knowledge of the students on paper and paper folding in the first class, displaying the finished paper folding works, finishing simple paper boxes or paper planes in the second class, and finishing difficult paper cranes in the third class. The class time evaluation index belongs to the subset of the whole course evaluation scale. After the structured data acquisition schemes of the teaching target specification and the teaching process specification are formulated in the course of teaching, the teaching link can be entered.
According to the structured data acquisition requirement of the teaching link, the system comprises two types of data of student performance and learning results during each teaching, wherein the student performance data during each teaching refers to evaluation data of student behaviors recorded in various modes, for example, in the paper folding process of students, video recording is carried out on the paper folding process of each student, including raising hand questions and the like, teacher interaction, self-speaking expressions and the like, and the corresponding data standard follows the evaluation scale. The student performance data is evaluation information for each student, and a student can have 0 or more pieces of data without an upper limit in a class, namely, for a student, the whole class paper folding process is a video data record, the interaction with a teacher is one or more videos or character records, and the expression of self-speaking is one or more pictures or video records. According to the structured data acquisition requirements of teaching links, a student is not allowed to have no data record in a class period in principle unless the student goes to class in the future. The student performance data may also include other behavior data of the student, such as attendance, attention, hands-up, participation in practice, number of readings for data queries, and the like, in addition to the aforementioned tables. The learning result data of each class teaching is the result record of student learning recorded by various modes, and the form can be characters, pictures, audios and videos, such as the whole photo and the local detail photo of the folded paper work finished on the class. For the student learning result data, each student can correspond to 0 or a plurality of pieces of data without upper limits and forms in one class.
According to the structured data acquisition requirement of the class ending evaluation link, the two types of data of result comparison and process optimization are included, wherein the result comparison includes the statistical result of class ending evaluation information of all, part or single students and the comparison condition of preset teaching targets of other classes, for example, the statistical condition of how many students finish two paper folding works, how many students finish more than 4 minutes, how many students finish more than 3 minutes, the finish of the total targets is trained by the comparison classes, for example, 95% students can finish paper cranes with higher difficulty, and the finish is more than 3 minutes, and the training target of the practical ability of the students can be considered to be achieved. The process optimization includes evaluation index use conditions in the teacher teaching process, such as whether all students are given evaluation and learning resource access conditions, for example, the students are guided to browse various paper folding works through a website, statistical information of learning task participation completion conditions is provided, and comparison reference with preset teaching evaluation indexes, preset resources and preset tasks is provided. The corresponding teaching optimization adjustment suggestion refers to the fact that data collection and analysis are carried out through an informatization system according to preset data in a course opening link and through the combination of a teaching link and a course ending evaluation link, a teacher is helped to find differences, and an education method is optimized; the optimization education method adjusts teaching targets and sub-targets, an evaluation scale, the interaction frequency and form of teachers and students, task setting, data selection and other modes, for example, all students finish two paper folding works, the perfection degree is high, and teachers can be guided to consider adding building blocks to further strengthen or expand the space perception capability of the students; if no one in the students who finish the paper folding in advance is found to help other unfinished students in the middle of the teaching process, the teacher can be guided to add a large-scale domino link, and the cultivation of team cooperation capacity is enhanced while the practical ability and the space imagination ability of the students are cultivated. For better optimization and recommendation, the optimization adjustment proposal can introduce more resources such as peers and third-party experts besides the teaching thinking of the lecturer, for example, non-genetic carriers in the aspect of paper folding can be invited to set a lecture seat, and the lecture seat can be exchanged and guided with students in a face-to-face manner, and if the non-genetic carriers cannot be used, the pertinent evaluation, suggestion or guidance can be given by means of the image data such as the related non-genetic carriers; in order to facilitate the effective evaluation and management supervision of the teaching effect by school or higher-level service managers, the data acquisition and analysis work can be carried out at different levels until the individual work performance assessment and excitation of teachers. For more timely optimization intervention, post-season comparison and process optimization data processing of periodic teaching units can also be adopted in the teaching process, so that data analysis can be better performed.
Example two
As shown in fig. 2, the course management and optimization system according to this embodiment includes three core modules, namely, a service client, a service processing server and a teaching data center, where the service client can help a user to access the system through a single or cross-platform mode, the client and the service processing server are connected through a BS & CS hybrid architecture according to a specified communication and data interface, and the service processing server and the teaching data center are also connected through a defined communication and data interface.
The service client is a service system developed by the system and used for supporting the course management and optimization method in the first embodiment, a cross-platform mode and a BS + CS mixed architecture mode are adopted for facilitating access of users in different scenes, and supported media forms include but are not limited to webpages, mobile APPs, intelligent class cards APPs, desktop applications or other intelligent equipment subsystems.
The service processing server is used for processing the service interaction of the client and performing data interaction with the teaching data center, and comprises a course setting and course selecting module, a course teaching management module, a course summarizing module and a data statistics and chart generating module; the course establishing, course giving management and course summarizing module is a system module for supporting the functions of the three core links of the teaching in the course managing and optimizing method in the first embodiment; the data statistics and chart generation module is a functional sub-module which acquires standard growth data and data generated by secondary/multiple processing such as data mining analysis, teaching suggestions and the like from the teaching data center through an interface, generates a corresponding visual chart and displays the visual chart through a service client.
The teaching data center can store, mine, analyze and provide data of teaching suggestions and an intelligent processing center, is used for storing, managing and analyzing related teaching data and provides targeted teaching suggestions according to the mining analysis result and third-party expert evaluation; the teaching suggestions given by the third-party expert evaluation can be input through a special service interface, and the form of the teaching suggestions can be various resource carriers such as texts, diagrams, audios and videos.
The school book course management and optimization system of the embodiment presets the assessment scale when a teacher gives a lesson, has data analysis dimensionality, and is used for assessment by using an assessment tool and other modes when the teacher gives a lesson. The evaluation data of the teacher is also teacher teaching behavior data, and is established and easily obtained in a specific teaching scene. Through index design and behavior comparison, the problems of design and method are found, and the teaching target and the teaching behavior can be corrected timely and effectively.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (10)
1. The method is characterized by comprising a lesson opening link, a lesson giving link and a lesson ending evaluation link, wherein the method comprises the steps of collecting structural data of the lesson opening link, the lesson giving link and the lesson ending evaluation link, mining and analyzing the structural data, and giving a teaching adjustment suggestion of the school book course.
2. The method of textbook course management and optimization of claim 1, wherein the structured data of the session of opening a course includes teaching objective specifications and teaching process specifications, the teaching objective specifications including course training overall objectives, teaching evaluation indicators, family evaluation indicators, student self-evaluation indicators and corresponding evaluation scales; the teaching process specification comprises teaching class hours, sub-standards for teaching in class time, evaluation indexes in class time, learning resources used in class time, learning task requirements in class time and achievement requirements in stage learning.
3. The method of textbook curriculum management and optimization of claim 2, wherein the lesson-time assessment metrics belong to a subset of the assessment scale.
4. The method of book course management and optimization of claim 1, wherein the structured data of the lecture session includes student performance and learning outcome at each lecture session, the student performance at each lecture session is evaluation data of student behavior, and one student may have no or multiple pieces of data at one session; the learning result is recorded in the form of characters, pictures or audios and videos; the student performance further comprises one or more of attendance, attention, hand lifting, practice participation and data query reading times.
5. The method of textbook course management and optimization of claim 1, wherein the structured data of the lesson ending evaluation comprises result comparison and process optimization, the result comparison comprises the statistical result of the lesson ending evaluation information of all, part or single students and the comparison of the preset teaching targets of the rest lessons; the process optimization comprises the statistical information of the use condition of the evaluation indexes, the access condition of the learning resources and the participation and completion condition of the learning tasks in the teaching process of the teacher and the comparison reference of the preset teaching evaluation indexes, the preset resources and the preset tasks.
6. The method of claim 1, wherein the teaching adjustment advice is an educational method optimized by an informatization system based on the preset data of the teaching process, and by combining the data collection and analysis performed by the teaching process and the final assessment process, the teaching adjustment advice helps teachers to find differences; the optimization education method comprises the steps of adjusting teaching targets and sub-targets, evaluating tables, the interaction frequency and form of teachers and students, task setting and data selection; but also the teacher's own teaching reflection, concurrence and/or third party expert comments.
7. The method of textbook session management and optimization of claim 6, wherein post-season collation and process optimization data processing for staged lecture units is employed during longer sessions of the lecture.
8. The system is characterized by comprising a business client, a business processing server and a teaching data center, wherein the business client is used for user access, is constructed in a server and client mode, supports cross-platform and comprises one or a combination of a webpage subsystem, a mobile application subsystem and a desktop application subsystem.
9. The book lesson management and optimization system of claim 8, wherein the teaching data center is a data and intelligent processing center for storing, mining, analyzing and providing teaching advice, for saving, managing, analyzing relevant teaching data, and for providing targeted teaching advice based on the mining analysis results and third party expert evaluations; and the third-party expert evaluates the given teaching suggestions, and inputs the teaching data center through a special service interface, wherein the form of the teaching data center comprises one or a combination of texts, diagrams and audios and videos.
10. The system for book course management and optimization of claim 9, wherein the business processing server is configured to process business interaction of the business client and perform data interaction with the teaching data center, and comprises a course establishment and selection module, a course administration management module, a course summarization module, and a data statistics and chart generation module; the course setting, course giving management and course summarization module is used for supporting the course setting link, the course giving link and the course ending evaluation link in the school book course management and optimization method; the data statistics and chart generation module is used for acquiring standard growth data and data generated by secondary/multiple processing such as data mining analysis, teaching suggestions and the like from the teaching data center through an interface, generating a corresponding visual chart and displaying the visual chart through the service client.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011419237.5A CN112381693A (en) | 2020-12-07 | 2020-12-07 | Method and system for managing and optimizing textbook courses |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011419237.5A CN112381693A (en) | 2020-12-07 | 2020-12-07 | Method and system for managing and optimizing textbook courses |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112381693A true CN112381693A (en) | 2021-02-19 |
Family
ID=74589338
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011419237.5A Pending CN112381693A (en) | 2020-12-07 | 2020-12-07 | Method and system for managing and optimizing textbook courses |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112381693A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114285966A (en) * | 2021-12-07 | 2022-04-05 | 浙江东隆教育科技有限公司 | Labor education related monitoring data processing method and system |
CN114649078A (en) * | 2022-03-16 | 2022-06-21 | 陕西省中医医院 | Evaluation method for culture quality of students in acupuncture and massage profession |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106203811A (en) * | 2016-07-05 | 2016-12-07 | 上海电力学院 | A kind of Evaluation Method of Teaching Quality |
CN106408470A (en) * | 2016-07-27 | 2017-02-15 | 淮海工学院 | Teaching quality evaluation device |
CN108491994A (en) * | 2018-02-06 | 2018-09-04 | 北京师范大学 | STEM education assessment system and methods based on big data |
CN108648123A (en) * | 2018-07-13 | 2018-10-12 | 江苏开放大学(江苏城市职业学院) | A method of its management network teaching process of the network teaching platform and utilization based on big data |
CN108805405A (en) * | 2018-05-02 | 2018-11-13 | 浙江建设职业技术学院 | A kind of teaching assessment system and its construction method |
CN110765417A (en) * | 2019-09-29 | 2020-02-07 | 昆明医科大学 | Advanced medical classroom teaching interactive behavior analysis and evaluation method |
-
2020
- 2020-12-07 CN CN202011419237.5A patent/CN112381693A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106203811A (en) * | 2016-07-05 | 2016-12-07 | 上海电力学院 | A kind of Evaluation Method of Teaching Quality |
CN106408470A (en) * | 2016-07-27 | 2017-02-15 | 淮海工学院 | Teaching quality evaluation device |
CN108491994A (en) * | 2018-02-06 | 2018-09-04 | 北京师范大学 | STEM education assessment system and methods based on big data |
CN108805405A (en) * | 2018-05-02 | 2018-11-13 | 浙江建设职业技术学院 | A kind of teaching assessment system and its construction method |
CN108648123A (en) * | 2018-07-13 | 2018-10-12 | 江苏开放大学(江苏城市职业学院) | A method of its management network teaching process of the network teaching platform and utilization based on big data |
CN110765417A (en) * | 2019-09-29 | 2020-02-07 | 昆明医科大学 | Advanced medical classroom teaching interactive behavior analysis and evaluation method |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114285966A (en) * | 2021-12-07 | 2022-04-05 | 浙江东隆教育科技有限公司 | Labor education related monitoring data processing method and system |
CN114285966B (en) * | 2021-12-07 | 2024-03-29 | 浙江东隆教育科技有限公司 | Method and system for processing monitoring data related to labor education |
CN114649078A (en) * | 2022-03-16 | 2022-06-21 | 陕西省中医医院 | Evaluation method for culture quality of students in acupuncture and massage profession |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112581329B (en) | Personalized learning and intelligent training management system and method | |
CN104575140B (en) | A kind of smart terminal Network teaching method | |
Sun et al. | Leading with data: An increasingly important feature of school leadership. | |
CN110751363B (en) | Intelligent training evaluation system and method | |
Kennedy et al. | Making meaningful decisions about time, workload and pedagogy in the digital age: The course resource appraisal model | |
Raschke et al. | Review of data analytic teaching cases, have we covered enough? | |
CN112381693A (en) | Method and system for managing and optimizing textbook courses | |
CN105913351A (en) | Graduate student ability training mechanism service platform and method | |
Immekus | Flipping statistics courses in graduate education: Integration of cognitive psychology and technology | |
CN110443730A (en) | Grinding based on SAAS learns service system and device | |
KR20130112485A (en) | Social learning network system and method therefor | |
Xu et al. | An application of big data learning analysis based on MOOC platform | |
Cao | [Retracted] Learning Quality Evaluation of Course Implementation Supported by Online Teaching Platform | |
Pang et al. | A framework on exploring primary school English language teachers' perceptions of their continuing professional development in Malaysia | |
Joshi | TPACK and teachers’ self-efficacy: A systematic review | |
CN115205070A (en) | Design and implementation of intelligent teaching auxiliary system based on layering/grading model | |
Mousavi et al. | Identification professional competencies of industrial educators in the technical and vocational schools | |
Fan et al. | At the intersection of language testing policy, practice, and research: An interview with Yan Jin | |
Lavin et al. | Radically redesigning introductory MIS large-scale lectures: creating enhanced learning environments | |
Zieffler et al. | A catalyst for change in the high school math curriculum | |
Shepperson | Prevalence of evaluation method courses in education leader doctoral preparation. | |
Zhao | Innovative Research on the Teaching Mode of Preschool Education Courses under the Background of Wireless Communication and Big Data | |
Liu et al. | Research on Talent Training Mode of" Big Data+ Intelligent Accounting" Based on OBE | |
YUZHU | RESEARCH ON ONLINE EDUCATION DEVELOPMENT STRATEGY OF TODAY’S HEADLINE | |
Мінтій | Using Learning Content Management System Moodle in Kryvyi Rih State Pedagogical University educational process |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20210219 |