CN109214965B - Data sorting method, system and device - Google Patents
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Abstract
The invention provides a data sorting method, a system and a device, which relate to the technical field of educational robots and comprise the steps of obtaining classroom teaching data and lesson taking records of objects; the lesson record at least comprises one of the following: a learning state or a question-answer record of the subject; determining the exercises according to the teaching data, and sending the exercises to the object; acquiring the problem completion condition of the object, and generating score data and error problem data according to the problem completion condition; and generating a tutoring plan of each object according to the result data, the wrong question data and the lesson record. The invention records and arranges the learning state and the score data of the object through the education robot, thereby efficiently generating the tutoring plan applicable to different objects, greatly saving the time of teachers and simultaneously solving the problems of students in a targeted way.
Description
Technical Field
The invention relates to the technical field of educational robots, in particular to a data arrangement method, a data arrangement system and a data arrangement device.
Background
With the continuous expansion of enrollment scale, data in the educational administration management system is increased sharply, and the ubiquitous problem is that the data volume of student results is too large, but the processing of the data still remains in the primary data backup, query and simple statistics stages at present. The existing score data processing method needs to manually input data into a computer, carry out simple statistics and condition screening on the data in a spreadsheet form, manually set conditions and judge results to draw conclusions, and cannot efficiently generate tutoring plans applicable to different students.
Disclosure of Invention
In view of the above, the present invention provides a method, a system and a device for organizing data to efficiently process teaching data and generate tutoring plans applicable to different objects.
In a first aspect, an embodiment of the present invention provides a data sorting method, including: acquiring classroom teaching data and a lesson record of an object; the lesson record at least comprises one of the following: a learning state or a question-answer record of the subject; determining exercises according to the teaching data, and sending the exercises to the object; acquiring the problem completion condition of the object, and generating score data and error problem data according to the problem completion condition; and generating a tutoring plan of each object according to the result data, the wrong question data and the lesson record.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where the step of determining a problem according to teaching data and sending the problem to a subject includes: determining an examination point according to the teaching data; selecting corresponding exercises from the database according to the examination points; the exercises are arranged into test paper or practice homework and are sent to the object.
With reference to the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the step of obtaining a problem completion condition of the object, and generating achievement data and error problem data according to the problem completion condition includes: acquiring the exercise completion condition of the object; comparing the exercise completion condition with pre-stored exercise answers to obtain a comparison result; and generating score data and error data according to the comparison result.
With reference to the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the method further includes: determining the fitness of the current teacher and the current object according to the result data, the wrong question data and the lesson record; and generating an adjustment suggestion for the current teacher according to the fitness.
In a second aspect, an embodiment of the present invention further provides a data sorting system, including: the system comprises an information acquisition module, a data preprocessing module, a data transmission and storage module and a data analysis module; the information acquisition module is used for acquiring classroom teaching data and the lesson record of the object and sending the classroom teaching data and the lesson record to the data preprocessing module; the data preprocessing module is used for receiving the data sent by the information acquisition module, and performing data cleaning, data integration, data transformation and data reduction to obtain processed data; the data analysis module is used for receiving the processed data to determine the exercises and sending the exercises to the object; the data analysis module is also used for acquiring the exercise completion condition of the object and generating a tutoring plan of each object according to the exercise completion condition and the processed data; the data transmission storage module is used for storing the tutoring plan.
With reference to the second aspect, an embodiment of the present invention provides a first possible implementation manner of the second aspect, where the system further includes a data output module; and the data output module is used for acquiring and displaying the tutoring plan.
In a third aspect, an embodiment of the present invention further provides a data sorting apparatus, where the apparatus includes: the acquisition module is used for acquiring classroom teaching data and the lesson record of the object; the lesson record at least comprises one of the following: a learning state or a question-answer record of the subject; the selection module is used for determining exercises according to the teaching data and sending the exercises to the object; the comparison module is used for acquiring the exercise completion condition of the object and generating score data and error exercise data according to the exercise completion condition; and the planning module is used for generating a tutoring plan of each object according to the achievement data, the wrong question data and the lesson record.
With reference to the third aspect, an embodiment of the present invention provides a first possible implementation manner of the third aspect, where the selecting module is further configured to: determining an examination point according to the teaching data; selecting corresponding exercises from the database according to the examination points; the exercises are arranged into test paper or practice homework and are sent to the object.
With reference to the third aspect, an embodiment of the present invention provides a second possible implementation manner of the third aspect, where the comparing module is further configured to: acquiring the exercise completion condition of the object; comparing the exercise completion condition with pre-stored exercise answers to obtain a comparison result; and generating score data and error data according to the comparison result.
With reference to the third aspect, an embodiment of the present invention provides a third possible implementation manner of the third aspect, where the apparatus further includes an optimization module, configured to: determining the fitness of the current teacher and the current object according to the result data, the wrong question data and the lesson record; and generating an adjustment suggestion for the current teacher according to the fitness.
The embodiment of the invention has the following beneficial effects: according to the data arrangement method, the system and the device provided by the embodiment of the invention, the classroom teaching data and the lesson record of the object are obtained, the exercises are determined according to the obtained data and are sent to the object, then the exercise completion condition of the object is obtained, so that the achievement data and the wrong exercise data are generated, finally, each object is analyzed according to the achievement data, the wrong exercise data and the lesson record, and the corresponding tutoring plan is generated. The invention records and arranges the learning state and the score data of the object through the education robot, thereby efficiently generating the tutoring plan applicable to different objects, greatly saving the time of teachers and simultaneously solving the problems of students in a targeted way.
Additional features and advantages of the disclosure will be set forth in the description which follows, or in part may be learned by the practice of the above-described techniques of the disclosure, or may be learned by practice of the disclosure.
In order to make the aforementioned objects, features and advantages of the present disclosure more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a data sorting method according to an embodiment of the present invention;
FIG. 2 is a block diagram illustrating a data organization system according to an embodiment of the present invention;
FIG. 3 is a block diagram of a data sorting apparatus according to an embodiment of the present invention;
fig. 4 is another structural block diagram of the data sorting apparatus according to the embodiment of the present invention.
Icon:
21-an information acquisition module; 22-a data pre-processing module; 23-a data transmission storage module; 24-a data analysis module; 31-an acquisition module; 32-a selection module; 33-a comparison module; 34-a planning module; 35-optimizing module.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, the application of student achievement data in teaching mainly comprises unit examination and interim/end examination, and is divided into two aspects. 1. Establishing a class examination result file by using an EXCEL table, and completing analysis of result sequencing, class total examination level, class learning differentiation degree index, level distribution condition of the results, class overall result propulsion condition and the like by manually inputting conditions; 2. establishing student individual result files, analyzing result fluctuation intervals, individual optimal levels and the like. In the existing score data processing method, data needs to be input into a computer manually, and a large amount of repeated and tedious and time-consuming work is performed; the data is simply counted and screened in a spreadsheet form, conditions are manually set, and results are judged to draw conclusions; even though some educational platforms perform some functions of score statistical analysis, the limitations are large.
Based on this, the data arrangement method, the system and the device provided by the embodiment of the invention can efficiently process teaching data and generate tutoring plans applicable to different objects.
For the convenience of understanding the embodiment, a detailed description will be given to a data sorting method disclosed in the embodiment of the present invention.
Example 1
An embodiment 1 of the present invention provides a data arrangement method, which is described in a flow chart of the data arrangement method shown in fig. 1, and includes:
step S102, obtaining classroom teaching data and lesson record of an object; the lesson record at least comprises one of the following: the learning state or the question-answer record of the subject.
The classroom teaching data comprises blackboard writing information, voice information, picture information of a teacher and video information used in a classroom. The objects include students in a classroom and teachers in a classroom. The learning state includes expression information and emotional state information. The question-answer records comprise question information of teachers and information of objects.
And step S104, determining the exercises according to the teaching data and sending the exercises to the object.
And determining the exercises matched with the teaching data according to the teaching data, and sending the exercises to the object for evaluating the mastering condition of the object on the key content of the teaching data.
And step S106, acquiring the exercise completion condition of the object, and generating score data and error exercise data according to the exercise completion condition.
The problem completion condition comprises the completion degree of the problem and the accuracy rate of the problem. The performance data includes a score for the completion of the problem. The error data includes errors of the object and analysis of error causes of the errors, for example: the knowledge is not mastered or is wrongly written.
And step S108, generating a tutoring plan of each object according to the result data, the wrong question data and the lesson record.
The achievement data represents the mastering probability of the knowledge of the object, the wrong question data represents the mastering degree of the knowledge of the user, the lesson record can represent the wrong question reason of the object, and the tutoring plan is generated for each object by integrating the achievement data, the wrong question data and the lesson record, so that each object can conveniently know the learning condition of the object and the knowledge learning loophole is eliminated.
According to the data arrangement method provided by the embodiment of the invention, the class teaching data and the lesson record of the object are obtained, the exercises are determined according to the obtained data and are sent to the object, then the exercise completion condition of the object is obtained, so that the achievement data and the wrong exercise data are generated, finally, each object is analyzed according to the achievement data, the wrong exercise data and the lesson record, and the corresponding tutoring plan is generated. The invention records and arranges the learning state and the score data of the object through the education robot, thereby efficiently generating the tutoring plan applicable to different objects, greatly saving the time of teachers and simultaneously solving the problems of students in a targeted way.
The step of determining the problem from the teaching data and sending the problem to the subject includes: determining an examination point according to the teaching data; selecting corresponding exercises from the database according to the examination points; the exercises are arranged into test paper or practice homework and are sent to the object.
Students in the same class receive a teaching method of a teacher, the learning ability and the adaptability of the students are different, and the difference of learning grades is large. The same problem can be selected and sent to different objects according to teaching data, and different problems can also be sent according to different objects.
In order to reduce the workload of teachers in correcting jobs, recording scores and the like, the method acquires the problem completion condition of a target and generates score data and error problem data according to the problem completion condition, and the method comprises the following steps of: acquiring the exercise completion condition of the object; comparing the exercise completion condition with pre-stored exercise answers to obtain a comparison result; and generating score data and error data according to the comparison result.
The education robot acquires the exercise data input by the object at the operation terminal to obtain the exercise completion condition of the object, compares the completion condition with the pre-stored exercise answers to obtain a comparison result, and generates the score data of the object exercise or the evaluation and error data. The wrong question data comprises wrong question records and wrong question reason analysis of the object, and the knowledge mastering condition of the object can be comprehensively reflected.
The unit test and the examination in the middle period/end period are made and corrected by the teaching robot, and the teacher only needs to check the score data, the wrong question data and the analysis result to know the actual learning condition of each student. And the teacher is assisted to arrange the family operation and undertake the work of correcting the operation and collecting data.
Considering that the teacher has an important influence on the learning effect of the students in addition to the students themselves, the method further includes: determining the fitness of the current teacher and the current object according to the result data, the wrong question data and the lesson record; and generating an adjustment suggestion for the current teacher according to the fitness.
And the fitness is used for measuring the matching degree of the teacher and the whole object. The fitness can be determined according to the learning effect of the student. The result data, the wrong question data and the lesson record have influence on the learning effect. If the adaptability of the teacher to the object is low, a suggestion of the current teaching method of the teacher can be generated, or the teacher with higher matching degree with the object is replaced.
The embodiment of the invention arranges the teaching robot in a classroom to attend class together with teachers and students. The teaching method comprises the steps of recording the classroom teaching process and content of a teacher, and respectively recording the expression and state of each student attending classes according to face recognition. The questions and answers in the classroom are recorded, and according to the teaching content of the teacher, the teacher is matched to give questions to students and carry out correction work. And recording the result data and wrong question data of classroom work, and feeding back the analysis result to the teacher. The teacher can adjust the course content according to the feedback and plan the explanation of each student (or the teaching robot can judge the teaching plan and confirm the teaching plan by the teacher), and after class, the teaching robot can perform one-to-one or one-to-many special explanation to the students according to the arrangement condition of the learning schedule so as to eliminate the loophole of knowledge learning. The process does not need the participation of teachers, greatly saves the time of the teachers, and simultaneously solves the problems of students in a targeted mode.
Because student's data is put in the high in the clouds database, the student has unconsciously in the homework in-process, can carry out self-study through the high in the clouds equally, accepts teaching robot's one-to-one tutor. The process and the content of the data are stored in a database as a part of big data and used as one of the bases for adjusting the study scheme of the student.
Example 2
An embodiment 2 of the present invention provides a data arrangement system, which refers to a schematic block diagram of a data arrangement system shown in fig. 2, and includes: the system comprises an information acquisition module 21, a data preprocessing module 22, a data transmission storage module 23 and a data analysis module 24.
The information acquisition module 21 is used for acquiring classroom teaching data and the lesson record of the object, and sending the classroom teaching data and the lesson record to the data preprocessing module.
The information acquisition module comprises a video acquisition module and a sound acquisition module. The video acquisition module has multitask parallel processing capacity and can perform real-time facial identity recognition, tracking and facial expression recognition on more than 50 persons (the number of students in one class) and convert the facial identity recognition, tracking and facial expression recognition into data; the image character recognition and intelligent data conversion can be carried out; the environment can be identified, and map data, a path planning and distance measurement and obstacle avoidance are constructed; and performing motion bone and collateral datamation and image tracking on the person. The voice acquisition module can identify the identity according to the voiceprint information of the owner, can accurately judge the voice and the command of the owner in a complex environment with many people, and eliminates the interference of noise; the owner can perceive the position by sounding, and directional sound amplification is carried out on the position in cooperation with voiceprint processing, so that better far-field identification capability can be obtained. The more sensitive and reliable it is, the more advantageous it is for language teaching. The obtained sound can be converted into text.
The data preprocessing module 22 is configured to receive the data sent by the information acquisition module, perform data cleaning, data integration, data transformation, and data reduction, and obtain processed data.
And (3) carrying out data cleaning, data integration, data transformation, data reduction and the like on video, sound and text information of each object and huge and complicated data such as classroom records and face records of the whole class. The integrity, uniqueness, authority, legality and consistency of the data are solved, the storage space is reduced, and the quality and the timeliness of data mining are improved.
The data analysis module 24 is used for receiving the processed data to determine a problem and sending the problem to the object; the data analysis module is further used for obtaining the exercise completion condition of the object and generating a tutoring plan of each object according to the exercise completion condition and the processed data.
For example, the received data is comprehensively analyzed and processed, the overall grades of classes are analyzed, class examination grade files are established, the grades of students are sequenced, the overall examination level of the classes is calculated, the indexes of the class learning differentiation degree are analyzed, the hierarchical distribution of the statistical grades is calculated, and the promotion condition, the promotion rate and the grade change trend of the overall grades of the classes are analyzed; the method comprises the steps of analyzing student achievement in a case, establishing student individual achievement files, analyzing fluctuation intervals of statistical achievement and individual optimal levels, and intelligently analyzing wrong questions each time to find out reasons of the wrong questions (caused by infirm knowledge points, filling errors, deviation of related knowledge concepts and the like); performing teacher teaching characteristic analysis; and evaluating the teaching effect of the teacher, analyzing according to the processed data, and generating a tutoring plan of each object.
The data transmission storage module 23 is used for storing the tutoring plan.
The data transmission requires good real-time responsiveness, and the reliability of the transmission is ensured by at least two transmission modes. In special cases the cache may wait locally for transmission. The main storage is a large database established at the cloud, the computing capability is stronger, the deployment of an optimization scheme is more convenient, the large data collection has higher mining value, and the teaching significance is realized. The secondary storage is established locally as a temporary cache.
The system also includes a data output module; and the data output module is used for acquiring and displaying the tutoring plan. For example, the data output may be voice, image, robot motion or analysis data, etc.
Example 3
Embodiment 3 of the present invention provides a data sorting apparatus, referring to a block diagram of a data sorting apparatus shown in fig. 3, the apparatus including:
the acquisition module 31 is used for acquiring classroom teaching data and the lesson record of the object; the lesson recording at least comprises one of the following: a learning state or a question-answer record of the subject; a selection module 32 for determining the problem according to the teaching data and sending the problem to the subject; the comparison module 33 is used for acquiring the exercise completion condition of the object and generating score data and error exercise data according to the exercise completion condition; and the planning module 34 is used for generating a tutoring plan of each object according to the achievement data, the wrong question data and the lesson record.
Wherein, the selecting module 32 is further configured to: determining an examination point according to the teaching data; selecting corresponding exercises from the database according to the examination points; the exercises are arranged into test paper or practice homework and are sent to the object.
Wherein, the comparison module 33 is further configured to: acquiring the exercise completion condition of the object; comparing the exercise completion condition with pre-stored exercise answers to obtain a comparison result; and generating score data and error data according to the comparison result.
Referring to another structural block diagram of the data sorting apparatus provided in the embodiment of the present invention shown in fig. 4, the apparatus further includes an optimizing module 35, configured to: determining the fitness of the current teacher and the current object according to the result data, the wrong question data and the lesson record; and generating an adjustment suggestion for the current teacher according to the fitness.
The data sorting device provided by the embodiment of the present invention has the same implementation principle and technical effect as the data sorting method embodiment, and for brief description, reference may be made to corresponding contents in the data sorting method embodiment where no part of the embodiment of the data sorting device is mentioned.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (4)
1. A data collating method applied to an educational robot is characterized by comprising the following steps:
acquiring classroom teaching data and a lesson record of an object; the lesson record at least comprises one of the following: a learning state or a question-answer record of the subject; the classroom teaching data comprises blackboard writing information of teachers, and the objects comprise students in a classroom and teachers in the classroom;
determining exercises according to the teaching data, and sending the exercises to the object; sending different exercises for different objects;
acquiring the exercise completion condition of the object, and generating score data and error exercise data according to the exercise completion condition;
generating a tutoring plan of each object according to the achievement data, the wrong question data and the lesson record;
the data sorting method further comprises the following steps:
determining the fitness of the current teacher and the object according to the achievement data, the wrong question data and the lesson record;
generating an adjustment suggestion for the current teacher according to the fitness, or replacing the adjustment suggestion with a teacher with higher matching degree with the object;
the step of determining the problem according to the teaching data and sending the problem to the subject includes:
determining an examination point according to the teaching data;
selecting corresponding exercises from a database according to the examination points;
the exercises are arranged into test paper or practice operation and are sent to the object;
the step of obtaining the exercise completion condition of the object and generating achievement data and error question data according to the exercise completion condition comprises the following steps:
acquiring the exercise completion condition of the object;
comparing the exercise completion condition with pre-stored exercise answers to obtain a comparison result;
and generating achievement data and error data according to the comparison result.
2. A data marshalling system, comprising: the system comprises an information acquisition module, a data preprocessing module, a data transmission and storage module and a data analysis module;
the information acquisition module is used for acquiring classroom teaching data and the lesson record of the object and sending the classroom teaching data and the lesson record to the data preprocessing module; the classroom teaching data comprises blackboard writing information of teachers, and the objects comprise students in a classroom and teachers in the classroom;
the data preprocessing module is used for receiving the data sent by the information acquisition module, and performing data cleaning, data integration, data transformation and data reduction to obtain processed data;
the data analysis module is used for receiving the processed data to determine exercises and sending the exercises to the object; sending different exercises for different objects;
the data analysis module is further used for acquiring the exercise completion condition of the object and generating a tutoring plan of each object according to the exercise completion condition and the processed data;
the data transmission storage module is used for storing the tutoring plan;
the data collating system is further configured to:
determining the fitness of the current teacher and the object according to the achievement data, the wrong question data and the lesson record;
generating an adjustment suggestion for the current teacher according to the fitness, or replacing the adjustment suggestion with a teacher with higher matching degree with the object;
the step of determining and transmitting the problem to the subject includes:
determining examination points according to the teaching data;
selecting corresponding exercises from a database according to the examination points;
the exercises are arranged into test paper or practice operation and are sent to the object;
acquiring the exercise completion condition of the object, and generating score data and error question data according to the exercise completion condition, wherein the step comprises the following steps of:
acquiring the exercise completion condition of the object;
comparing the exercise completion condition with pre-stored exercise answers to obtain a comparison result;
and generating achievement data and error data according to the comparison result.
3. The data collation system according to claim 2, further comprising a data output module;
the data output module is used for acquiring and displaying the tutoring plan.
4. A data collating apparatus characterized by comprising:
the acquisition module is used for acquiring classroom teaching data and the lesson record of the object; the lesson record at least comprises one of the following: a learning state or a question-answer record of the subject; the classroom teaching data comprises blackboard writing information of teachers, and the objects comprise students in a classroom and teachers in the classroom;
the selection module is used for determining exercises according to the teaching data and sending the exercises to the object; sending different exercises for different objects;
the comparison module is used for acquiring the exercise completion condition of the object and generating score data and error exercise data according to the exercise completion condition;
the planning module is used for generating a tutoring plan of each object according to the achievement data, the wrong question data and the lesson record;
the data collating device further comprises an optimization module, which is used for:
determining the fitness of the current teacher and the object according to the achievement data, the wrong question data and the lesson record;
generating an adjustment suggestion for the current teacher according to the fitness, or replacing the adjustment suggestion with a teacher with higher matching degree with the object;
the selection module is further configured to:
determining an examination point according to the teaching data;
selecting corresponding exercises from a database according to the examination points;
the exercises are arranged into test paper or practice operation and are sent to the object;
the comparison module is further configured to:
acquiring the exercise completion condition of the object;
comparing the exercise completion condition with pre-stored exercise answers to obtain a comparison result;
and generating score data and error data according to the comparison result.
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| CN201811256045.XA CN109214965B (en) | 2018-10-25 | 2018-10-25 | Data sorting method, system and device |
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| CN201811256045.XA CN109214965B (en) | 2018-10-25 | 2018-10-25 | Data sorting method, system and device |
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| CN109214965A CN109214965A (en) | 2019-01-15 |
| CN109214965B true CN109214965B (en) | 2022-06-24 |
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| CN110399421A (en) * | 2019-08-05 | 2019-11-01 | 洛阳市洛书神韵文化传播有限公司 | A kind of wrong topic collection method for teaching auxiliary books applied to papery |
| CN112651860B (en) * | 2020-12-18 | 2021-11-05 | 重庆师范大学 | Discussion type robot teaching system, method and device |
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