CN109300069A - Acquisition methods, device and the electronic equipment of user's learning path model - Google Patents
Acquisition methods, device and the electronic equipment of user's learning path model Download PDFInfo
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Abstract
The present invention provides acquisition methods, device and the electronic equipments of a kind of user's learning path model, it is related to education and instruction technical field, the acquisition methods of user's learning path model include: to generate multiple learning path models according to teaching knowledge point and userspersonal information；User is obtained to the selection result of the multiple learning path model by interactive voice, wherein the selection result is a learning path model in the multiple learning path model；According to the selection result, user's learning path model is obtained, the teaching path existing in the prior art obtained by didactic code method is solved and is not necessarily suitble to student, thus the technical problem for keeping teaching efficiency poor.
Description
Technical field
The present invention relates to education and instruction technical field, more particularly, to a kind of user's learning path model acquisition methods,
Device and electronic equipment.
Background technique
Teaching programme is the integrated planning of course offered, it provides the mode of the different mutual structures of course types, is also provided
Different courses management mode of learning requirements and its proportion, meanwhile, to the teaching of school, productive labor, extracurricular living
It is dynamic etc. make comprehensive arrangement, the sequence of the subject, course opening that should be arranged in concrete regulation teaching and class hour distribution etc..
Currently, teaching programme is the guidance of the teaching and educational work formulated according to certain teaching purpose and training objective
Data.It decides the total direction of the content of courses and total structure, and makes comprehensively to various aspects such as related teaching, educational activities
It arranges, subject setting, the content of courses, teaching direction, the teaching sequence of each door subject, teaching in concrete regulation teaching process
When number etc..
But student is not necessarily suitble to by the teaching path that didactic code method in the prior art obtains, to make
Teaching efficiency is poor.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of acquisition methods of user's learning path model, device and
Electronic equipment is not necessarily suitble to student to solve the teaching path existing in the prior art obtained by didactic code method,
Technical problem to keep teaching efficiency poor.
In a first aspect, the embodiment of the invention provides a kind of acquisition methods of user's learning path model, comprising:
According to teaching knowledge point and userspersonal information, multiple learning path models are generated；
User is obtained to the selection result of the multiple learning path model by interactive voice, wherein the selection knot
Fruit is a learning path model in the multiple learning path model；
According to the selection result, user's learning path model is obtained.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, wherein institute
It states according to teaching knowledge point and userspersonal information, before generating multiple learning path models, further includes:
Learned lesson information is obtained from learning path database；
Instructional objective is determined according to the learned lesson information；
According to the instructional objective, teaching knowledge point is set.
With reference to first aspect, the embodiment of the invention provides second of possible embodiments of first aspect, wherein institute
It states according to teaching knowledge point and userspersonal information, generates multiple learning path models, comprising:
Userspersonal information is obtained from learning path database；
According to userspersonal information, user capability appraising model is generated；
It is calculated according to complexity of the user capability appraising model to the teaching knowledge point, obtains user's hardly possible
Easy level data；
The teaching knowledge point is ranked up according to user's complexity data, obtains ranking results；
The knowledge point is added according to the ranking results, generates multiple learning path models.
With reference to first aspect, the embodiment of the invention provides the third possible embodiments of first aspect, wherein institute
It states and the knowledge point is ranked up according to user's complexity data, obtain ranking results, comprising:
Sequence from easy to difficult is carried out to the knowledge point according to user's complexity data, is arranged from easy to difficult
Ordinal number evidence, and the sorting data from easy to difficult is determined as ranking results.
With reference to first aspect, the embodiment of the invention provides the 4th kind of possible embodiments of first aspect, wherein institute
It states according to the selection result, obtains user's learning path model, comprising:
Based on the selection result and the userspersonal information, user's learning path model is obtained.
With reference to first aspect, the embodiment of the invention provides the 5th kind of possible embodiments of first aspect, wherein institute
It states according to the selection result, after obtaining user's learning path model, further includes:
According to user's learning path model, data supplement is carried out to the learning path database.
With reference to first aspect, the embodiment of the invention provides the 6th kind of possible embodiments of first aspect, wherein institute
Stating learning path database includes: the learned lesson information, teaching knowledge point, the learning path model, the use
At least one of family personal information and the user capability appraising model.
Second aspect, the embodiment of the present invention also provide a kind of acquisition device of user's learning path model, comprising:
Generation module, for generating multiple learning path models according to teaching knowledge point and userspersonal information；
First obtains module, for obtaining user to the selection knot of the multiple learning path model by interactive voice
Fruit, wherein the selection result is a learning path model in the multiple learning path model；
Second obtains module, for obtaining user's learning path model according to the selection result.
The third aspect, the embodiment of the present invention also provide a kind of electronic equipment, including memory, processor, the memory
In be stored with the computer program that can be run on the processor, the processor is realized when executing the computer program
The step of stating method as described in relation to the first aspect.
Fourth aspect, the embodiment of the present invention also provide a kind of meter of non-volatile program code that can be performed with processor
Calculation machine readable medium, said program code make the method for the processor execution as described in relation to the first aspect.
Technical solution provided in an embodiment of the present invention brings following the utility model has the advantages that user provided in an embodiment of the present invention learns
Acquisition methods, device and the electronic equipment for practising path model include: firstly, according to teaching knowledge point and userspersonal information
To generate multiple learning path models, then, user is obtained to the selection knot of multiple learning path models by interactive voice
Fruit, wherein selection result is that a learning path model in multiple learning path models according to selection result, obtains later
User's learning path model, by generating multiple learning path models based on teaching knowledge point and userspersonal information, because
The generating process of this learning path model has used userspersonal information, so that the learning path model generated be made to be more suitable
The personal considerations of user, then user is obtained to the selection situations of these learning path models by interactive voice, using it is two-way mutually
It is dynamic, so that finally obtained user's learning path model is not only suitable for individual subscriber situation, but also consider the individual of user
Wish, with this it is more targeted improve efficiency of teaching, to solve existing in the prior art by didactic code side
The teaching path that method obtains not necessarily is suitble to student, thus the technical problem for keeping teaching efficiency poor.
Other features and advantages of the present invention will illustrate in the following description, also, partly become from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention are in specification and attached drawing
Specifically noted structure is achieved and obtained.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 shows the flow chart of the acquisition methods of user's learning path model provided by the embodiment of the present invention one；
Fig. 2 shows the flow charts of the acquisition methods of user's learning path model provided by the embodiment of the present invention two；
Fig. 3 shows a kind of structure of the acquisition device of user's learning path model provided by the embodiment of the present invention three and shows
It is intended to；
Fig. 4 shows the structural schematic diagram of a kind of electronic equipment provided by the embodiment of the present invention four.
Icon: the acquisition device of 3- user's learning path model；31- generation module；32- first obtains module；33- second
Obtain module；4- electronic equipment；41- memory；42- processor；43- bus；44- communication interface.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Under every other embodiment obtained, shall fall within the protection scope of the present invention.
Currently, in the prior art, didactic code method includes:
Method one: it collects student and topic record is done to each knowledge point；According to topic record is done, the knowledge of student's study is constructed
Map；According to knowledge mapping, plan using knowledge point as the learning path of basic unit.This method can using knowledge point as granularity,
Learning path is planned, to ensure that the learning sequence of student from easy to difficult, more effectively promotes the study energy of student
Power.
Method two: the defect rank of the ability of learner is determined according to the history learning path in learning path model；Root
Determine ability to the influence degree of subsequent learning path according to identified defect rank；According to ability to the shadow of subsequent learning path
The degree of sound chooses the learning path of learner's next step in subsequent learning path.In this way, being the selection of next step learning path
Reliable foundation is provided, is chosen for learner to more suitable learning path, so that the study of learner is more efficient.
Method three: the corresponding user behavior data of each learned lesson is obtained；According to the corresponding user of each learned lesson
Behavioral data calculates in each learned lesson, the incidence edge weight between every two learned lesson, and incidence edge weight is for indicating
Incidence relation between two learned lessons；According to the incidence edge weight in each learned lesson, between every two learned lesson
It determines and recommends learning path；Learning path is recommended in push；When recommending learned lesson to user, in addition to user which recommending learn
It practises except course, also recommends the learning sequence of each course to user, do not need in the course that user oneself recommends from several
One or more subjects are selected, user is not needed yet and decides the learning sequence of each course in its sole discretion, to improve study
The recommendation effect of course.
But the experience property of didactic code method in the prior art is poor, without the interaction capabilities with user, therefore mutually
Dynamic property is poor, does not have interactive voice ability, furthermore, Optimal Learning path planning participant is less, to make Optimal Learning path
Recommendation effect is poor.
Based on this, a kind of acquisition methods, device and the electronics of user's learning path model provided in an embodiment of the present invention
Equipment can solve the teaching path existing in the prior art obtained by didactic code method and not necessarily be suitble to student, from
And the technical problem for keeping teaching efficiency poor.
For convenient for understanding the present embodiment, first to a kind of user learning path mould disclosed in the embodiment of the present invention
Acquisition methods, device and the electronic equipment of type describe in detail.
Embodiment one:
A kind of acquisition methods of user's learning path model provided in an embodiment of the present invention can be used as a kind of based on machine
The method in the planning Optimal Learning path of people's teaching platform, as shown in Figure 1, this method comprises:
S11: according to teaching knowledge point and userspersonal information, multiple learning path models are generated.
S12: user is obtained to the selection result of multiple learning path models by interactive voice.
As the preferred embodiment of the present embodiment, selection result is a learning path in multiple learning path models
Model.
S13: according to selection result, user's learning path model is obtained.
For the prior art, the teaching path obtained by didactic code method in the prior art is more single,
And not necessarily it is suitble to some student, to keep teaching efficiency poor.
By generating multiple learning path models, therefore learning path based on teaching knowledge point and userspersonal information
The generating process of model has used userspersonal information, so that the learning path model generated be made to be more suitable the individual of user
Situation, then final obtain is made using two-way interaction to the selection situation of these learning path models by interactive voice acquisition user
To user's learning path model be not only suitable for individual subscriber situation, but also consider the personal inclination of user, more with this
Targetedly improve efficiency of teaching.
Embodiment two:
A kind of acquisition methods of user's learning path model provided in an embodiment of the present invention can be used as a kind of based on machine
The method in the planning Optimal Learning path of people's teaching platform, as shown in Fig. 2, this method comprises:
S21: learned lesson information is obtained from learning path database.
S22: instructional objective is determined according to learned lesson information.
S23: teaching knowledge point is arranged according to instructional objective.
S24: userspersonal information is obtained from learning path database.
S25: according to userspersonal information, user capability appraising model is generated.
S26: it is calculated according to complexity of the user capability appraising model to teaching knowledge point, obtains user's difficulty or ease journey
Degree evidence.
S27: teaching knowledge point is ranked up according to user's complexity data, obtains ranking results.
In practical applications, this step is specifically as follows: according to user's complexity data to knowledge point carry out from easily to
Difficult sequence, obtains sorting data from easy to difficult, and will be determined as ranking results by sorting data from easy to difficult.
S28: knowledge point is added according to ranking results, generates multiple learning path models.
It should be noted that the number of the learning path model generated can be any number, for example, based on according to sequence
As a result corresponding knowledge point is added, to generate tri- kinds of learning paths of A, B, C.
S29: user is obtained to the selection result of multiple learning path models by interactive voice.
Wherein, selection result is a learning path model in multiple learning path models.In this step, pass through student
The selection to realize learning path model is interacted with robot voice.
As the preferred embodiment of the present embodiment, teacher can carry out interactive voice, student (i.e. user) with robot
Interactive voice can be carried out with robot, to make the demand of teaching definitely.
As the another embodiment of the present embodiment, this step can also intelligently automatically select the learning path mould of user
Type.
S30: it is based on selection result and userspersonal information, obtains user's learning path model.
In this step, it is based on selection result and userspersonal information, finally cooks up optimal learning path model.
S31: according to user's learning path model, data supplement is carried out to learning path database.
As a preferred embodiment, learning path database may include: learned lesson information, teaching knowledge point, study
At least one of path model, userspersonal information and user capability appraising model.
Specifically, the relevant information and optimum programming learning path to teacher, student (i.e. user) carry out real-time collecting,
More perfect planning Optimal Learning path resources library is formed, is evolved by constantly learning, it is accurate to improve Optimal Learning path planning
Rate.
In the present embodiment, by leading to using the robot teaching platform for constantly improve planning Optimal Learning path resources library
The robot with voice interactive function and teacher, student (i.e. user) progress interactive voice are crossed, is selected according to learned lesson system
Instructional objective is selected, teaching knowledge point is set；Robot teaching platform can also assess mould according to student's personal information, selective power
Type grades to knowledge point complexity；Robot teaching platform is from the easier to the more advanced arranged according to knowledge point complexity
Sequence；Intelligent robot selects learning path model, adds knowledge point, generates tri- kinds of learning paths of A, B, C；Student (i.e. user) energy
It is enough to be interacted with robot voice, select learning path；Robot teaching platform can finally cook up optimal learning path；Root
According to Optimal Learning path, it is continuously replenished and improves planning Optimal Learning path resources library, improve Optimal Learning path planning accuracy rate.
Embodiment three:
The acquisition device of a kind of user's learning path model provided in an embodiment of the present invention, as shown in figure 3, user learns road
The acquisition device 3 of diameter model includes: that generation module 31, first obtains module 32 and the second acquisition module 33.
Wherein, generation module is used to generate multiple learning path models according to teaching knowledge point and userspersonal information.
First, which obtains module, is used to obtain user to the selection result of multiple learning path models by interactive voice, wherein selection knot
Fruit is a learning path model in multiple learning path models.Second, which obtains module, is used to be used according to selection result
Family learning path model.
Example IV:
A kind of electronic equipment provided in an embodiment of the present invention, as shown in figure 4, electronic equipment 4 includes memory 41, processor
42, the computer program that can be run on the processor is stored in the memory, the processor executes the calculating
The step of method that above-described embodiment one or embodiment two provide is realized when machine program.
Referring to fig. 4, electronic equipment further include: bus 43 and communication interface 44, processor 42, communication interface 44 and memory
41 are connected by bus 43；Processor 42 is for executing the executable module stored in memory 41, such as computer program.
Wherein, memory 41 may include high-speed random access memory (RAM, Random Access Memory),
It may further include nonvolatile memory (non-volatile memory), for example, at least a magnetic disk storage.By at least
One communication interface 44 (can be wired or wireless) realizes the communication between the system network element and at least one other network element
Connection, can be used internet, wide area network, local network, Metropolitan Area Network (MAN) etc..
Bus 43 can be isa bus, pci bus or eisa bus etc..The bus can be divided into address bus, data
Bus, control bus etc..Only to be indicated with a four-headed arrow convenient for indicating, in Fig. 4, it is not intended that an only bus or
A type of bus.
Wherein, memory 41 is for storing program, and the processor 42 executes the journey after receiving and executing instruction
Sequence, method performed by the device that the stream process that aforementioned any embodiment of the embodiment of the present invention discloses defines can be applied to handle
In device 42, or realized by processor 42.
Processor 42 may be a kind of IC chip, the processing capacity with signal.During realization, above-mentioned side
Each step of method can be completed by the integrated logic circuit of the hardware in processor 42 or the instruction of software form.Above-mentioned
Processor 42 can be general processor, including central processing unit (Central Processing Unit, abbreviation CPU), network
Processor (Network Processor, abbreviation NP) etc.；It can also be digital signal processor (Digital Signal
Processing, abbreviation DSP), specific integrated circuit (Application Specific Integrated Circuit, referred to as
ASIC), ready-made programmable gate array (Field-Programmable Gate Array, abbreviation FPGA) or other are programmable
Logical device, discrete gate or transistor logic, discrete hardware components.It may be implemented or execute in the embodiment of the present invention
Disclosed each method, step and logic diagram.General processor can be microprocessor or the processor is also possible to appoint
What conventional processor etc..The step of method in conjunction with disclosed in the embodiment of the present invention, can be embodied directly in hardware decoding processing
Device executes completion, or in decoding processor hardware and software module combination execute completion.Software module can be located at
Machine memory, flash memory, read-only memory, programmable read only memory or electrically erasable programmable memory, register etc. are originally
In the storage medium of field maturation.The storage medium is located at memory 41, and processor 42 reads the information in memory 41, in conjunction with
Its hardware completes the step of above method.
Embodiment five:
It is provided in an embodiment of the present invention it is a kind of with processor can be performed non-volatile program code it is computer-readable
Medium, said program code make the method that the processor executes above-described embodiment one or embodiment two provides.
Unless specifically stated otherwise, the opposite step of the component and step that otherwise illustrate in these embodiments, digital table
It is not limit the scope of the invention up to formula and numerical value.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description
It with the specific work process of device, can refer to corresponding processes in the foregoing method embodiment, details are not described herein.
In all examples being illustrated and described herein, any occurrence should be construed as merely illustratively, without
It is as limitation, therefore, other examples of exemplary embodiment can have different values.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
The flow chart and block diagram in the drawings show the system of multiple embodiments according to the present invention, method and computer journeys
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part of one module, section or code of table, a part of the module, section or code include one or more use
The executable instruction of the logic function as defined in realizing.It should also be noted that in some implementations as replacements, being marked in box
The function of note can also occur in a different order than that indicated in the drawings.For example, two continuous boxes can actually base
Originally it is performed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.It is also noted that
It is the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart, can uses and execute rule
The dedicated hardware based system of fixed function or movement is realized, or can use the group of specialized hardware and computer instruction
It closes to realize.
The computer-readable medium of the non-volatile program code provided in an embodiment of the present invention that can be performed with processor,
It is special with acquisition methods, device and the electronic equipment technology having the same of user's learning path model provided by the above embodiment
Sign, so also can solve identical technical problem, reaches identical technical effect.
The computer program product of the acquisition methods of user's learning path model, packet are carried out provided by the embodiment of the present invention
The computer readable storage medium for storing the executable non-volatile program code of processor is included, what said program code included
Instruction can be used for executing previous methods method as described in the examples, and specific implementation can be found in embodiment of the method, no longer superfluous herein
It states.
In several embodiments provided herein, it should be understood that disclosed systems, devices and methods, it can be with
It realizes by another way.The apparatus embodiments described above are merely exemplary, for example, the division of the unit,
Only a kind of logical function partition, there may be another division manner in actual implementation, in another example, multiple units or components can
To combine or be desirably integrated into another system, or some features can be ignored or not executed.Another point, it is shown or beg for
The mutual coupling, direct-coupling or communication connection of opinion can be through some communication interfaces, device or unit it is indirect
Coupling or communication connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-OnlyMemory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
Finally, it should be noted that embodiment described above, only a specific embodiment of the invention, to illustrate the present invention
Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, those skilled in the art should understand that: anyone skilled in the art
In the technical scope disclosed by the present invention, it can still modify to technical solution documented by previous embodiment or can be light
It is readily conceivable that variation or equivalent replacement of some of the technical features；And these modifications, variation or replacement, do not make
The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention, should all cover in protection of the invention
Within the scope of.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. a kind of acquisition methods of user's learning path model characterized by comprising
According to teaching knowledge point and userspersonal information, multiple learning path models are generated；
User is obtained to the selection result of the multiple learning path model by interactive voice, wherein the selection result is
A learning path model in the multiple learning path model；
According to the selection result, user's learning path model is obtained.
2. according to claim 1, which is characterized in that it is described according to teaching knowledge point and userspersonal information, it generates
Before multiple learning path models, further includes:
Learned lesson information is obtained from learning path database；
Instructional objective is determined according to the learned lesson information；
According to the instructional objective, teaching knowledge point is set.
3. according to claim 1 or 2, which is characterized in that it is described according to teaching knowledge point and userspersonal information, it is raw
At multiple learning path models, comprising:
Userspersonal information is obtained from learning path database；
According to userspersonal information, user capability appraising model is generated；
It is calculated according to complexity of the user capability appraising model to the teaching knowledge point, obtains user's difficulty or ease journey
Degree evidence；
The teaching knowledge point is ranked up according to user's complexity data, obtains ranking results；
The knowledge point is added according to the ranking results, generates multiple learning path models.
4. according to claim 2 or 3, which is characterized in that described to be known according to user's complexity data described
Know point to be ranked up, obtain ranking results, comprising:
Sequence from easy to difficult is carried out to the knowledge point according to user's complexity data, sorted number from easy to difficult
According to, and the sorting data from easy to difficult is determined as ranking results.
5. according to claim 2 or 3, which is characterized in that it is described according to the selection result, obtain user's learning path
Model, comprising:
Based on the selection result and the userspersonal information, user's learning path model is obtained.
6. according to claim 2 or 3, which is characterized in that it is described according to the selection result, obtain user's learning path
After model, further includes:
According to user's learning path model, data supplement is carried out to the learning path database.
7. according to claim 2 or 3, which is characterized in that the learning path database includes: the learned lesson letter
In breath, teaching knowledge point, the learning path model, the userspersonal information and the user capability appraising model
At least one.
8. a kind of acquisition device of user's learning path model characterized by comprising
Generation module, for generating multiple learning path models according to teaching knowledge point and userspersonal information；
First obtains module, for by interactive voice acquisition user to the selection result of the multiple learning path model,
In, the selection result is a learning path model in the multiple learning path model；
Second obtains module, for obtaining user's learning path model according to the selection result.
9. a kind of electronic equipment, including memory, processor, be stored in the memory to run on the processor
Computer program, which is characterized in that the processor realizes that the claims 1 to 7 are any when executing the computer program
The step of method described in item.
10. a kind of computer-readable medium for the non-volatile program code that can be performed with processor, which is characterized in that described
Program code makes the processor execute described any the method for claim 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811256202.7A CN109300069A (en) | 2018-10-25 | 2018-10-25 | Acquisition methods, device and the electronic equipment of user's learning path model |
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| CN110197450A (en) * | 2019-05-31 | 2019-09-03 | 上海乂学教育科技有限公司 | Ordinal relation acquisition methods, device, equipment and medium between knowledge point |
| CN110263179A (en) * | 2019-06-12 | 2019-09-20 | 湖南酷得网络科技有限公司 | Learning path method for pushing, device, computer equipment and storage medium |
| CN110378818A (en) * | 2019-07-22 | 2019-10-25 | 广西大学 | Personalized exercise recommended method, system and medium based on difficulty |
| CN113689660A (en) * | 2020-05-19 | 2021-11-23 | 上海惠芽信息技术有限公司 | Safety early warning method of wearable device and wearable device |
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| CN107230174A (en) * | 2017-06-13 | 2017-10-03 | 深圳市鹰硕技术有限公司 | A kind of network online interaction learning system and method |
| CN108563780A (en) * | 2018-04-25 | 2018-09-21 | 北京比特智学科技有限公司 | Course content recommends method and apparatus |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110197450A (en) * | 2019-05-31 | 2019-09-03 | 上海乂学教育科技有限公司 | Ordinal relation acquisition methods, device, equipment and medium between knowledge point |
| CN110197450B (en) * | 2019-05-31 | 2024-03-08 | 上海松鼠课堂人工智能科技有限公司 | Method, device, equipment and medium for acquiring sequence relation between knowledge points |
| CN110263179A (en) * | 2019-06-12 | 2019-09-20 | 湖南酷得网络科技有限公司 | Learning path method for pushing, device, computer equipment and storage medium |
| CN110378818A (en) * | 2019-07-22 | 2019-10-25 | 广西大学 | Personalized exercise recommended method, system and medium based on difficulty |
| CN110378818B (en) * | 2019-07-22 | 2022-03-11 | 广西大学 | Personalized exercise recommendation method, system and medium based on difficulty |
| CN113689660A (en) * | 2020-05-19 | 2021-11-23 | 上海惠芽信息技术有限公司 | Safety early warning method of wearable device and wearable device |
| CN113689660B (en) * | 2020-05-19 | 2023-08-29 | 三六零科技集团有限公司 | Safety early warning method of wearable device and wearable device |
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