CN116228476A - One-to-one customized coaching method and related equipment - Google Patents
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Abstract
The invention discloses a one-to-one customized coaching method and related equipment, wherein the method comprises the following steps: after detecting the registered account number of the learner, the intelligent coaching system creates a learner file according to the learner information; the learning targets of the students for coaching and learning are input, and standard template progress plans and milestone plans of different target stages are formulated according to the learning targets, examination time and examination outline of the students; inputting learning condition data of a learner according to a standard template progress plan and a milestone plan into the learner file in real time, and analyzing the learning condition data to obtain a learning analysis result; and pertinently adjusting the standard template progress plan and the milestone plan according to the learning analysis result, and making a one-to-one dynamic adjustment learning plan according to the problems of the students. The invention realizes customized one-to-one tutoring learning by designating the proper learning plan and tutoring plan according to the self situation of the learner, and improves the learning efficiency of the learner.
Description
Technical Field
The invention relates to the technical field of online intelligent learning, in particular to a one-to-one customized coaching method, an intelligent coaching system and a computer readable storage medium.
Background
With the continuous development of internet technology, live education has become an important teaching form of an online education platform, is favorable for students to interact with teachers in real time, and is accepted by parents of the students. With the promotion of emerging technologies such as 5G technology and cloud computing, live education modes are mature, with the development of live education, teaching scenes are richer, teaching contents are more interesting, students and teachers have stronger interactivity, and learning efficiency of the students can be greatly improved.
For example, in the course of a net, a screen is recorded in advance or a teacher learns a mode of one-to-many people, and the mode is low in learning efficiency of students on one hand and difficult for the teacher to conduct targeted coaching on the other hand, so that the progress speed of the students is low; the training cost of one-to-one coaching in real life is very expensive, and many families are difficult to bear.
In the prior art, the tutoring training is face-to-face teaching or network teaching, and due to limitation of teaching forces and increase of demands of students, one-to-one targeted tutoring cannot be achieved when the tutoring or training is carried out, and the study is totally dependent on personal autonomy of the students, namely, the students learn teaching videos by themselves, do questions by themselves, summarize weak items by themselves, ask questions by themselves, find teaching aid help and solve the problem, and the tutoring training method is strong in self-driving ability of the students, high in efficient learning method, high in personal requirements, and incapable of improving own learning efficiency through the tutoring or training for some students with poor master control ability and autonomy.
Accordingly, the prior art is still in need of improvement and development.
Disclosure of Invention
The invention mainly aims to provide a one-to-one customized coaching method, an intelligent coaching system and a computer readable storage medium, and aims to solve the problem that learning efficiency of a learner is low because one-to-one customized learning coaching cannot be achieved when online coaching or training is carried out in the prior art 。
In order to achieve the above object, the present invention provides a one-to-one customized coaching method, which includes the steps of:
after detecting that a student registers an account on an intelligent coaching system, the intelligent coaching system creates a student file according to student information, wherein personal information in the student file is required to be recorded after the student authorization;
the intelligent guidance system inputs a learning target of a learner for guidance learning, and makes a standard template progress plan and a milestone plan of different target stages according to the learning target of the learner, the examination time and the examination outline;
the intelligent coaching system inputs learning condition data of a learner according to a standard template progress plan and a milestone plan into the learner file in real time, and analyzes the learning condition data to obtain a learning analysis result;
the intelligent coaching system pertinently adjusts the standard template progress plan and the milestone plan according to the learning analysis result, and makes a one-to-one dynamic adjustment learning plan according to the problems of students.
Optionally, the one-to-one customized coaching method is implemented, where the one-to-one customized coaching method further includes:
after a learner learns for a period of time according to the standard template progress plan and the milestone plan, the intelligent coaching system dynamically adjusts the learner's learning plan through a level processing matching algorithm according to different learning abilities of the learner, knowledge time grasping and examination score simulating conditions.
Optionally, the one-to-one customized coaching method is implemented, wherein the standard template schedule includes learning content and a schedule;
the milestone plans comprise three key point milestone plans, namely a first key point milestone plan, a second key point milestone plan and a third key point milestone plan;
the first keypoint milestone is programmed to: analyzing and summarizing the learning capacity level and knowledge point mastering percentage of a learner according to the learning time and the module examination result data, dividing and adjusting a learning progress plan according to the corresponding learning capacity level, publishing the learning progress plan to the learner, and recording the learning information of the learner to the intelligent coaching system;
the second keypoint milestone is planned to be: according to the score of the student on the calendar year examination and the corresponding knowledge point mastering percentage, comparing with the periodic learning history data of the student, analyzing whether the data fluctuate within a reasonable range, recording the data, and providing the data for the student and the coaching mechanism to issue information;
the third keypoint milestone is planned to be: according to the current knowledge points of the students, the percentages and the scores are mastered, a sprint learning plan is provided for the students, information is released, and a standby examination prompt before an examination is carried out.
Optionally, the one-to-one customized coaching method is implemented, where the one-to-one customized coaching method further includes:
the intelligent coaching system performs periodic detection according to the learning progress of the trainee, and each detection is used for adjusting the plan according to the data to release the module mastering degree percentage and corresponding advice to the trainee.
Optionally, the one-to-one customized coaching method is implemented, where the one-to-one customized coaching method further includes:
after the completion of three key point milestone plans of the trainee is detected, the intelligent coaching system judges whether the target achievement rate of the trainee exceeds a preset threshold according to the completion condition;
if the goal achievement rate of the learner does not exceed the preset threshold, the intelligent coaching system re-enters a new learning goal or examination time according to the communication result of the mentor and the learner, and updates the data database.
Optionally, the one-to-one customized coaching method is implemented, wherein the learning analysis result includes a learner learning progress, a module examination result and a knowledge point grasping weak item.
Optionally, the one-to-one customized coaching method is implemented, where the one-to-one customized coaching method further includes:
the intelligent coaching system integrates the history data of the students, analyzes learning difficulties of the students, feeds back information to the students, and pertinently makes teaching and confusion videos and sends the teaching and confusion videos to the students for confusion learning.
Optionally, the one-to-one customized coaching method is implemented, where the one-to-one customized coaching method further includes:
the intelligent coaching system acquires learning information of a student, and issues early warning information to a coaching mechanism when the abnormal risk of data exists according to the analysis result.
In addition, to achieve the above object, the present invention also provides an intelligent coaching system, wherein the intelligent coaching system includes: the one-to-one customized counseling method comprises the steps of a memory, a processor and a one-to-one customized counseling program which is stored in the memory and can run on the processor, wherein the one-to-one customized counseling program is executed by the processor, and the one-to-one customized counseling method is realized.
In addition, in order to achieve the above object, the present invention also provides a computer-readable storage medium storing a one-to-one customized coaching program, which when executed by a processor, implements the steps of implementing the one-to-one customized coaching method as described above.
In the invention, after detecting that a student registers an account number on an intelligent coaching system, the intelligent coaching system creates a student file according to student information, wherein personal information in the student file is required to be recorded after the student is authorized; the intelligent guidance system inputs a learning target of a learner for guidance learning, and makes a standard template progress plan and a milestone plan of different target stages according to the learning target of the learner, the examination time and the examination outline; the intelligent coaching system inputs learning condition data of a learner according to a standard template progress plan and a milestone plan into the learner file in real time, and analyzes the learning condition data to obtain a learning analysis result; the intelligent coaching system pertinently adjusts the standard template progress plan and the milestone plan according to the learning analysis result, and makes a one-to-one dynamic adjustment learning plan according to the problems of students. The invention realizes customized one-to-one tutoring learning by designating the proper learning plan and tutoring plan according to the self situation of the learner, and improves the learning efficiency of the learner.
Drawings
FIG. 1 is a flow chart of a preferred embodiment of the present invention for implementing a one-to-one customized coaching method;
FIG. 2 is a flow chart of the whole customized coaching step in a preferred embodiment of the present invention for implementing a one-to-one customized coaching method;
FIG. 3 is a schematic diagram of an operating environment of a preferred embodiment of the intelligent coaching system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear and clear, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The one-to-one customized coaching method according to the preferred embodiment of the present invention, as shown in fig. 1, comprises the following steps:
and step S10, after detecting that the student registers an account number on the intelligent coaching system, the intelligent coaching system creates a student file according to the student information, wherein personal information in the student file is required to be recorded after the authorization of the student.
Specifically, as shown in fig. 2, a learner completes a related learning plan through an intelligent coaching system (i.e., the intelligent system in fig. 2), and establishes a connection with a training structure/lecturer through the intelligent coaching system, firstly, the learner registers a personal account number (basic information, information such as a name and a learning subject, a learning course, time, a target or an examination subject) through the intelligent coaching system, then the intelligent coaching system creates a one-to-one learner file according to the learner information, and the personal information in the learner file needs to be recorded after the personal information is authorized by the learner, such as an identity card number, a mobile phone number, an age and other privacy information.
And S20, the intelligent guidance system inputs a learning target of a learner for guidance learning, and makes a standard template progress plan and a milestone plan in different target stages according to the learning target of the learner, the examination time and the examination outline.
Specifically, a standard is formulated: learning target criteria, such as training in taking certificates, PMP and soft exam as examples, soft exam nationwide exam, one target as long as there is a certificate as soon as there is a pass, and PMP, although there is a certificate, has four classes such as ATBN, at least 2 targets, and it is possible to understand excellent 5A and other qualifications; so different training is selected and the standard is correspondingly formulated. Planning templates: the study plan is selected and examined, for example, a soft test "system analyst" is selected and examined, the examination is divided into three parts including a comprehensive part, a case part and a paper part, and certificates are only available, a plan template is based on the total time of the completion of the study (study data + true questions + practice + model test, and the problem making time is calculated according to the real examination duration), and different study plan schedules (a schedule formed by understanding contents and time) can be discharged according to the limit of the daily study time (such as 1 hour or 8 hours). Rank processing matching algorithm: different students have different learning ability, different learning ability and different learning results, and the learning ability matching algorithm is used for dynamically adjusting the learning plan later, for example, after the first student learns 2 modules, only half of the learning plan is needed, but the module examination results are 90% accurate, so when the learning plan is pushed later, the learning plan adjustment time is reduced by 1/3, and the like, thereby realizing customization really according to individuals.
The learning objective (qualification, good and excellent) of the learner is definitely determined, the question making time and score are used as the measurement standard, the corresponding objective stage is matched, for example, a PMP examination is matched, if 5A is required to be obtained, the learning intensity and the question making accuracy are different from just passing or not, for example, a 5A objective, the simulation result is required to be 95% accurate, each time the result is checked to match the objective, the objective curve is monitored for a long time, the result curve is observed, if the stability and the 60% accuracy fluctuation is found, the learning time is half or even 2/3, the success rate of the 5A objective is required to be low, the system can push information to the warning, the training mechanism can communicate with the learner, or the objective is changed, or the examination time is changed (shown in fig. 2), so as to increase the learning time and other schemes.
The learner can input the learning target of tutoring study through the intelligent tutoring system, and the intelligent tutoring system makes standard template progress plans and milestone plans of different target stages according to the learning target, examination time and examination outline of the learner, provides a learning data list, and the intelligent tutoring system records the learner information and includes: the student personal learning time period, the learning website, the examination results of the corresponding knowledge points, the analyzed learning curve, the achievement target success rate, the learning advice, the changed learning progress plan and the like.
The standard template schedule, i.e. the learning schedule template, is a schedule of content and time, such as learning task, start time and end time. Milestone planning: the key point checking completion condition is indicated, for example, 1 module is learned, the accuracy rate of the model test reaches 60%, and the model test can be used as a milestone checking point; or all the learning materials are learned and the corresponding exercise accuracy rate is 60%, the time point is also used as a check point, and the like, a plurality of milestone check nodes can be arranged, and only the condition triggering check is met, so that whether the result meets the requirement is judged.
In the invention, the milestone plans comprise three key point milestone plans, namely a first key point milestone plan, a second key point milestone plan and a third key point milestone plan.
Wherein the first keypoint milestone is programmed to: according to the learning time and the module examination result data, the learning ability level (such as extremely strong divisible learning ability, strong learning ability, general learning ability and poor receiving ability) and the knowledge point mastering percentage of the learner are analyzed and summarized, the learning progress plan (comprising knowledge point review and new knowledge point learning progress) is adjusted according to the corresponding learning ability level division, the learning information is issued to the learner, and the learning information of the learner is recorded in the intelligent coaching system.
And periodically (according to a learning module) detecting according to the learning progress, and adjusting a plan according to data according to each detection, and issuing a degree percentage and corresponding advice (advice templates provided according to learning ability and knowledge percentage) to a student issuing module.
Wherein the second keypoint milestone is planned to be: according to the score of the student on the real examination of the calendar year and the corresponding knowledge point mastering percentage, the method compares the score with periodic learning history data of the student (data generated by the student using an intelligent coaching system, such as net class watching time of the student, and the learning and brushing time, the brushing score and the like), analyzes whether the data fluctuate within a reasonable range (for example, 5%), records the data, and provides the information for the student and the coaching mechanism (the intelligent coaching system can perform corresponding functions, similar to message release, and pushes messages aiming at account numbers).
Wherein the third keypoint milestone is planned to be: according to the current knowledge points of the students, the percentages and the scores are mastered, a sprint learning plan is provided for the students, information is released, and a standby examination prompt before an examination is carried out.
And step S30, the intelligent coaching system inputs learning condition data of a learner according to a standard template progress plan and a milestone plan into the learner file in real time, and analyzes the learning condition data to obtain a learning analysis result.
Specifically, after the learner completes the standard template progress plan and the milestone plan, learning condition data in the time period is input into the learner file in real time, and the intelligent guidance system classifies, sorts and analyzes the input learning condition data, so that the current learning analysis result of the learner can be obtained, namely, the learning ability and the learning condition of the learner are evaluated according to the collected learning time, examination result data and other learning data, and a basis is provided for guidance and adjustment of the learning plan for customization of the learner.
And S40, the intelligent coaching system pertinently adjusts the standard template progress plan and the milestone plan according to the learning analysis result, and makes a one-to-one dynamic adjustment learning plan according to the problems of the students.
Specifically, a learning plan is formulated through a learning target of a learner, the learning progress of the learner and the module examination score are tracked, and the learning plan is adjusted; after all the outline learning is finished, analyzing knowledge points to master weak items according to the whole examination results, providing a relearning plan in a targeted manner, and extracting questions corresponding to the module of the question bank to track; and according to the examination time and the score of the true questions of the students, estimating the success rate of achieving the target, and providing improvement comments. The whole study scheme is provided for the time schedule from the study start to the test examination, milestones are set in stages, if the time schedule does not reach the standard, intelligent adjustment is still not hopefully completed, and a learner and a lecturer are fed back to discuss the study targets again.
If the adjusted plan is once appeared, if the goal and the time progress limit learning condition are still not achieved with 40% probability, the learner is directly fed back to communicate with the training mechanism to adjust the learning goal or the examination time.
As shown in fig. 2, a learner registers an account number, inputs a learning course, time and a target, an intelligent coaching system creates a learner file, updates a data database, judges whether the target achievement rate is less than 40%, if the target achievement rate is less than 40%, communicates with the learner, re-customizes the target or the examination time, updates the data database, if the target achievement rate is not less than 40%, selects a proper plan template through an algorithm to feed back to the learner, then executes a customized learning plan and module examination, records information such as the learning time and the score of the learner, periodically judges whether the plan execution and the examination score are qualified according to the module, analyzes the learning ability of the learner according to the data such as the period time and the score, and adjusts and feeds back the learning plan according to the learning ability level if the plan is qualified; after the module learns the result, pushing 2 sets of test paper to the bottom, executing test paper examination, recording student information, grasping the ratio of the degree and the score of the test paper through an algorithm analysis and comparison module, learning whether the grasping curve floats in a normal range, if the learning curve does not float in the normal range, communicating with the student to know the condition, judging whether to newly add learning teaching data, importing the learning teaching data into a data database of the intelligent coaching system, if the learning curve floats in the normal range, analyzing the wrong question module, directionally screening, recording and broadcasting video review, designating the feedback of an overall review learning plan, and executing a customized review learning plan; after the degree and the test paper score ratio are mastered by the algorithm analysis and comparison module, whether the estimated passing rate is 60% of the university is calculated by the algorithm, if so, the sprint review plan is customized, the wrong question library is pushed, and the sprint review plan and the wrong question review are executed.
The scheme of the invention is mainly characterized in that intelligent one-to-one customized coaching is realized, human resources are released, the qualification passing rate of authentication test is improved, the establishment of standards, a matching algorithm, the collection of information, the integration of resources, information and the like are realized through software, the feedback conclusion is analyzed through intelligent data, so that a proper scheme is selected from a template for pushing, the information is collected through simulation questions, and the qualification success rate is calculated.
Making corresponding standards, planning templates and matching processing scheme algorithms for different certification courses; collecting intelligent information, namely collecting student information based on an intelligent coaching system, wherein the information is used for subsequent intelligent analysis; the intelligent learning capacity division, the establishment of a capacity division template, and the assessment of the learning capacity according to the collected learning time and examination result data are the basis of customized one-to-one dynamic adjustment learning plans; intelligent data analysis, which integrates the outline examination point occupation ratio, the examination point knowledge question library, the examination point teaching video, the learner learning data and the achievements, establishes a corresponding grade processing template, intelligently adjusts the plan through an algorithm, periodically feeds back the information adjustment plan, calculates the success rate of completing the standard, and can not complete the request of changing; the intelligent data mining integrates the history data of students, analyzes learning difficulties and feeds back information, and a training mechanism can pertinently manufacture teaching and confusion solving videos, so that the knowledge mastering capability of the students is pertinently improved, and the examination passing rate is increased.
Furthermore, according to the record and the tracking of the personal learning information of the learner, on one hand, one-to-one coaching learning can be customized, the qualification rate of the test is improved, and on the other hand, whether the learning resources are stolen, used by multiple persons and other illegal phenomena can be found, reminding is given, namely, additional analysis warning is given to a training mechanism, for example: the learner learns whether the curve is in a normal category, whether the learning time period and the learning website are regular, whether the learning website is used by multiple persons (the risk that the learning data is pirated and spread by the multiple persons), the risk that the learning resources are stolen and the like exist.
For example, data anomaly detection risks include:
(1) For example, learning website login, the conventional 1-student login may have 4-5 (2 spaces, PC, mobile phone multiple terminals) in a normal range, and if the learning website of one account appears tens and hundreds, there is a risk that multiple people use the same account.
(2) For example, learning curves, such as the model test results of 1 person, if the model test results rise or fluctuate within 5%, it can be understood that the model test results are normal, if the results of 1 account are reduced, increased, etc., and the model test results are abnormal for a long time, and the model test results can be judged by referring to the control tool standard.
(3) For example, in a learning period, 1 person always learns to have the time of sleeping, eating and the like, and a long time rule indicates that the time is normal, and if one account number is used for 20 hours, the time is at risk for multiple persons.
The scheme of the invention needs to be combined with a learning APP or a learning WEB client, is realized through software, the pre-condition needs to have basic learning materials such as teaching videos, question libraries, examination questions and the like, the learning system has a data collecting function, then the data are analyzed through an intelligent algorithm to quantify learning results, and then the intelligent algorithm is used for replacing teaching aid, so that one-to-one customized teaching is analyzed, and success rate and potential information of a learner and a training mechanism are fed back for other related use.
Further, as shown in fig. 3, based on the one-to-one customized coaching method and system, the present invention further provides an intelligent coaching system, which includes a processor 10, a memory 20, and a display 30. Fig. 3 shows only some of the components of the intelligent coaching system, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may be implemented instead.
The memory 20 may in some embodiments be an internal storage unit of the smart coaching system, such as a hard disk or memory of the smart coaching system. The memory 20 may in other embodiments also be an external storage device of the Smart coaching system, such as a plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card) or the like, provided on the Smart coaching system. Further, the memory 20 may also include both an internal storage unit and an external storage device of the intelligent coaching system. The memory 20 is used for storing application software installed on the intelligent guidance system and various data, such as program codes for installing the intelligent guidance system. The memory 20 may also be used to temporarily store data that has been output or is to be output. In an embodiment, the memory 20 stores a one-to-one customized tutoring program 40, and the one-to-one customized tutoring program 40 may be executed by the processor 10, so as to implement the one-to-one customized tutoring method in the present application.
The processor 10 may in some embodiments be a central processing unit (Central Processing Unit, CPU), microprocessor or other data processing chip for executing program code or processing data stored in the memory 20, for example, for executing the one-to-one customized coaching method, etc.
The display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like in some embodiments. The display 30 is used for displaying information at the intelligent coaching system and for displaying a visual user interface. The components 10-30 of the intelligent coaching system communicate with each other via a system bus.
In one embodiment, the following steps are implemented when processor 10 executes the one-to-one customized consolidator 40 implemented in memory 20:
after detecting that a student registers an account on an intelligent coaching system, the intelligent coaching system creates a student file according to student information, wherein personal information in the student file is required to be recorded after the student authorization;
the intelligent guidance system inputs a learning target of a learner for guidance learning, and makes a standard template progress plan and a milestone plan of different target stages according to the learning target of the learner, the examination time and the examination outline;
the intelligent coaching system inputs learning condition data of a learner according to a standard template progress plan and a milestone plan into the learner file in real time, and analyzes the learning condition data to obtain a learning analysis result;
the intelligent coaching system pertinently adjusts the standard template progress plan and the milestone plan according to the learning analysis result, and makes a one-to-one dynamic adjustment learning plan according to the problems of students.
The one-to-one customization coaching method further comprises the following steps:
after a learner learns for a period of time according to the standard template progress plan and the milestone plan, the intelligent coaching system dynamically adjusts the learner's learning plan through a level processing matching algorithm according to different learning abilities of the learner, knowledge time grasping and examination score simulating conditions.
Wherein the standard template schedule includes a learning content and a schedule;
the milestone plans comprise three key point milestone plans, namely a first key point milestone plan, a second key point milestone plan and a third key point milestone plan;
the first keypoint milestone is programmed to: analyzing and summarizing the learning capacity level and knowledge point mastering percentage of a learner according to the learning time and the module examination result data, dividing and adjusting a learning progress plan according to the corresponding learning capacity level, publishing the learning progress plan to the learner, and recording the learning information of the learner to the intelligent coaching system;
the second keypoint milestone is planned to be: according to the score of the student on the calendar year examination and the corresponding knowledge point mastering percentage, comparing with the periodic learning history data of the student, analyzing whether the data fluctuate within a reasonable range, recording the data, and providing the data for the student and the coaching mechanism to issue information;
the third keypoint milestone is planned to be: according to the current knowledge points of the students, the percentages and the scores are mastered, a sprint learning plan is provided for the students, information is released, and a standby examination prompt before an examination is carried out.
The one-to-one customization coaching method further comprises the following steps:
the intelligent coaching system performs periodic detection according to the learning progress of the trainee, and each detection is used for adjusting the plan according to the data to release the module mastering degree percentage and corresponding advice to the trainee.
The one-to-one customization coaching method further comprises the following steps:
after the completion of three key point milestone plans of the trainee is detected, the intelligent coaching system judges whether the target achievement rate of the trainee exceeds a preset threshold according to the completion condition;
if the goal achievement rate of the learner does not exceed the preset threshold, the intelligent coaching system re-enters a new learning goal or examination time according to the communication result of the mentor and the learner, and updates the data database.
The learning analysis result comprises a learner learning progress, module examination achievements and knowledge point mastering weak items.
The one-to-one customization coaching method further comprises the following steps:
the intelligent coaching system integrates the history data of the students, analyzes learning difficulties of the students, feeds back information to the students, and pertinently makes teaching and confusion videos and sends the teaching and confusion videos to the students for confusion learning.
The one-to-one customization coaching method further comprises the following steps:
the intelligent coaching system acquires learning information of a student, and issues early warning information to a coaching mechanism when the abnormal risk of data exists according to the analysis result.
The present invention also provides a computer-readable storage medium storing a one-to-one customized coaching program that, when executed by a processor, implements the steps of implementing a one-to-one customized coaching method as described above.
In summary, the present invention provides a method for implementing one-to-one customized coaching and related devices, where the method includes: after detecting that a student registers an account on an intelligent coaching system, the intelligent coaching system creates a student file according to student information, wherein personal information in the student file is required to be recorded after the student authorization; the intelligent guidance system inputs a learning target of a learner for guidance learning, and makes a standard template progress plan and a milestone plan of different target stages according to the learning target of the learner, the examination time and the examination outline; the intelligent coaching system inputs learning condition data of a learner according to a standard template progress plan and a milestone plan into the learner file in real time, and analyzes the learning condition data to obtain a learning analysis result; the intelligent coaching system pertinently adjusts the standard template progress plan and the milestone plan according to the learning analysis result, and makes a one-to-one dynamic adjustment learning plan according to the problems of students. The invention realizes customized one-to-one tutoring learning by designating the proper learning plan and tutoring plan according to the self situation of the learner, and improves the learning efficiency of the learner.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or intelligent coaching system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or intelligent coaching system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude that an additional identical element is present in a process, method, article, or intelligent coaching system that comprises the element.
Of course, those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by a computer program for instructing relevant hardware (e.g., processor, controller, etc.), the program may be stored on a computer readable storage medium, and the program may include the above described methods when executed. The computer readable storage medium may be a memory, a magnetic disk, an optical disk, etc.
It is to be understood that the invention is not limited in its application to the examples described above, but is capable of modification and variation in light of the above teachings by those skilled in the art, and that all such modifications and variations are intended to be included within the scope of the appended claims.
Claims (10)
1. The one-to-one customized coaching method is characterized by comprising the following steps of:
after detecting that a student registers an account on an intelligent coaching system, the intelligent coaching system creates a student file according to student information, wherein personal information in the student file is required to be recorded after the student authorization;
the intelligent guidance system inputs a learning target of a learner for guidance learning, and makes a standard template progress plan and a milestone plan of different target stages according to the learning target of the learner, the examination time and the examination outline;
the intelligent coaching system inputs learning condition data of a learner according to a standard template progress plan and a milestone plan into the learner file in real time, and analyzes the learning condition data to obtain a learning analysis result;
the intelligent coaching system pertinently adjusts the standard template progress plan and the milestone plan according to the learning analysis result, and makes a one-to-one dynamic adjustment learning plan according to the problems of students.
2. The one-to-one customized tutoring method according to claim 1, wherein the one-to-one customized tutoring method further comprises:
after a learner learns for a period of time according to the standard template progress plan and the milestone plan, the intelligent coaching system dynamically adjusts the learner's learning plan through a level processing matching algorithm according to different learning abilities of the learner, knowledge time grasping and examination score simulating conditions.
3. The method for implementing one-to-one customized coaching according to claim 1, wherein the standard template schedule includes learning content and a schedule;
the milestone plans comprise three key point milestone plans, namely a first key point milestone plan, a second key point milestone plan and a third key point milestone plan;
the first keypoint milestone is programmed to: analyzing and summarizing the learning capacity level and knowledge point mastering percentage of a learner according to the learning time and the module examination result data, dividing and adjusting a learning progress plan according to the corresponding learning capacity level, publishing the learning progress plan to the learner, and recording the learning information of the learner to the intelligent coaching system;
the second keypoint milestone is planned to be: according to the score of the student on the calendar year examination and the corresponding knowledge point mastering percentage, comparing with the periodic learning history data of the student, analyzing whether the data fluctuate within a reasonable range, recording the data, and providing the data for the student and the coaching mechanism to issue information;
the third keypoint milestone is planned to be: according to the current knowledge points of the students, the percentages and the scores are mastered, a sprint learning plan is provided for the students, information is released, and a standby examination prompt before an examination is carried out.
4. The one-to-one customized tutoring method according to claim 1, wherein the one-to-one customized tutoring method further comprises:
the intelligent coaching system performs periodic detection according to the learning progress of the trainee, and each detection is used for adjusting the plan according to the data to release the module mastering degree percentage and corresponding advice to the trainee.
5. The one-to-one customized tutoring method according to claim 3, wherein the one-to-one customized tutoring method further comprises:
after the completion of three key point milestone plans of the trainee is detected, the intelligent coaching system judges whether the target achievement rate of the trainee exceeds a preset threshold according to the completion condition;
if the goal achievement rate of the learner does not exceed the preset threshold, the intelligent coaching system re-enters a new learning goal or examination time according to the communication result of the mentor and the learner, and updates the data database.
6. The method for realizing one-to-one customized tutoring according to claim 1, wherein the learning analysis result comprises a learner learning progress, a module examination result and a knowledge point grasping weak item.
7. The one-to-one customized tutoring method according to claim 1, wherein the one-to-one customized tutoring method further comprises:
the intelligent coaching system integrates the history data of the students, analyzes learning difficulties of the students, feeds back information to the students, and pertinently makes teaching and confusion videos and sends the teaching and confusion videos to the students for confusion learning.
8. The one-to-one customized tutoring method according to claim 1, wherein the one-to-one customized tutoring method further comprises:
the intelligent coaching system acquires learning information of a student, and issues early warning information to a coaching mechanism when the abnormal risk of data exists according to the analysis result.
9. An intelligent coaching system, the intelligent coaching system comprising: a memory, a processor and a one-to-one implementation of a customized consolidator stored on the memory and executable on the processor, the one-to-one implementation of the customized consolidator when executed by the processor implementing the one-to-one implementation of the customized consolidator method steps of any of claims 1-7.
10. A computer-readable storage medium storing a one-to-one customized coaching program, which when executed by a processor, implements the one-to-one customized coaching method according to any of claims 1-7.
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| CN117437100A (en) * | 2023-12-21 | 2024-01-23 | 西安优学电子信息技术有限公司 | Micro-class practical training management system based on digital teaching |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117437100A (en) * | 2023-12-21 | 2024-01-23 | 西安优学电子信息技术有限公司 | Micro-class practical training management system based on digital teaching |
| CN117437100B (en) * | 2023-12-21 | 2024-04-19 | 西安优学电子信息技术有限公司 | Micro-class practical training management system based on digital teaching |
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