CN116012203B - Teaching resource matching system - Google Patents

Abstract

The application relates to the technical field of computers, in particular to a teaching resource matching system, which comprises an information storage unit, a learning state recording unit, a teaching resource library, a scheme storage unit and a data analysis unit, wherein the information storage unit, the learning state recording unit, the teaching resource library, the scheme storage unit and the data analysis unit are connected with the learning state recording unit and are used for analyzing the learning effect of teaching resources of subjects distributed by a user according to the learning state information of the subjects of the user, the data processing unit is respectively connected with the data analysis unit and the scheme storage unit and is used for adjusting the teaching resource matching scheme of the user according to the analysis result of the data analysis unit, and the teaching resource matching unit is respectively connected with the scheme storage unit and the teaching resource and is used for matching teaching resources of subjects suitable for the user according to the teaching resource matching scheme of the user, so that the learning resource matching precision of the user is ensured, and the learning efficiency of the user is improved.

Description

A teaching resource matching system

Technical field

The invention relates to the field of computer technology, and in particular to a teaching resource matching system.

Background technique

Online teaching has become a convenient means of learning for today's students. However, in the process of students' online learning, there is a problem of mismatch between teaching content and student teaching content, which seriously affects the efficiency of students' online learning.

Chinese Patent Publication No.: CN110704737A This application discloses an online teaching resource matching method, device, equipment and medium, which relates to the field of artificial intelligence. The specific implementation plan is: identify and determine candidate training objects and candidate teaching objects based on the user's viewing history of multimedia content on electronic devices; push online teaching matching requests to candidate training objects and candidate teaching objects, and determine formal training based on the feedback results objects and formal teaching objects; conduct online teaching matching based on the attributes and status of formal training objects and formal teaching objects. The embodiment of the present application performs two-way screening of users through their multimedia viewing records in electronic devices, determines training objects and teaching objects, and performs teaching matching. It overcomes the technical problem of difficulty in matching online teaching resources with required objects, thereby achieving automatic The technical effect of matching teaching resources to training objects and improving the efficiency and accuracy of resource matching. It can be seen that the matching method, device, equipment and medium of online teaching resources have no learning effect according to the students' matching learning resources. The problem of adjusting the teaching resource matching plan.

Contents of the invention

To this end, the present invention provides a teaching resource matching system to overcome the problem in the prior art that the teaching resource matching scheme is not adjusted according to the student's learning effect of the matched learning resources.

In order to achieve the above objectives, the present invention provides a teaching resource matching system, including:

An information storage unit used to store basic information of each user, the basic information including age, gender and year group information;

A learning status recording unit is used to record the learning status information of each user. The learning status information includes the user's learning time of each subject teaching content and the exercise scores corresponding to the subject teaching content;

Teaching resource library, which is used to store distributable teaching resource information;

A plan storage unit connected to the information storage unit to store the teaching resource matching plan for each subject of each user, where the teaching resource matching plan includes the density of knowledge points and the learning time of the subject;

A data analysis unit, connected to the learning status recording unit, used to analyze the learning effect of the teaching resources of the subject assigned by the user according to the learning status information of the subject;

A data processing unit, which is respectively connected to the data analysis unit and the plan storage unit, and is used to adjust the user's teaching resource matching plan according to the analysis results of the data analysis unit;

A teaching resource matching unit, which is connected to the plan storage unit and teaching resources respectively, and is used to match suitable teaching resources for each subject for the user according to the user's teaching resource matching plan;

The data analysis unit is also connected to the plan storage unit and the information storage unit, and is used to match the average knowledge point density of each subject in the plan according to the teaching resources of each user whose basic information is the same. The average learning time determines the user’s teaching resource matching plan for each subject;

The data analysis unit determines the plan adjustment cycle of the teaching resource matching plan based on the knowledge point density of each subject in the user's teaching resource matching plan and the preset knowledge point density,

Wherein, the data analysis unit is provided with a first preset knowledge point density D1, a second preset knowledge point density D2, a first plan adjustment period R1, a second plan adjustment period R2 and a third plan adjustment period R3, D1< D2, R1>R2>R3, and record the knowledge point density of the subject as D,

If D<D1, the data analysis unit determines that the plan adjustment period is R1;

If D1≤D<D2, the data analysis unit determines that the plan adjustment period is R2;

If D2≤D, the data analysis unit determines that the plan adjustment period is R3;

The data analysis unit obtains the first learning status information of each subject in the current program adjustment period when the user completes the teaching content of a program adjustment period Ri, and calculates the program adjustment parameter Ga according to the following formula,

,

Among them, Ta represents the first average learning time of the subject in the first learning status information, T0 represents the preset learning time, Qt represents the impact weight of the average learning time of the subject on the first adjustment parameter Ga, and Wa represents The first average exercise score of the subject in the first learning status information, W0 represents the standard exercise score of the subject, Qw represents the influence weight of the first average exercise score of the subject on the first adjustment parameter Ga;

The data analysis unit determines whether to adjust the teaching resource matching plan for the subject based on the comparison result between the first adjustment parameter Ga and the plan comparison parameter Ga0,

If Ga≤Ga0, the data analysis unit determines to adjust the teaching resource matching plan for the subject;

If Ga>Ga0, the data analysis unit determines not to adjust the teaching resource matching plan for the subject.

Further, when determining to adjust the teaching resource plan of the subject, the data analysis unit calculates the first score difference ΔWa between the standard exercise score of the subject and the first average score, ΔWa=W0 -Wa, and determine the adjustment of the knowledge point density of the subject based on the comparison result between the first grade difference △Wa and the preset grade difference,

The data processing unit is provided with a first preset grade difference value ΔW1, a second preset grade difference value ΔW2, a first knowledge point density adjustment coefficient Kv1 and a second knowledge point density adjustment coefficient Kv2, △W1＜△ W2, 0.7＜Kv2＜Kv1＜1,

If △Wa＜△W1, the data analysis unit determines to adjust the learning time of the subject;

If △W1≤△Wa<△W2, the data analysis unit determines to use Kv1 to adjust the knowledge point density of the subject;

If △W2 ≤ △Wa, the data analysis unit determines to use Kv2 to adjust the knowledge point density of the subject;

If the data analysis unit determines to use the xth knowledge point density adjustment coefficient Kvx to adjust the knowledge point density of the subject, the data processing unit records the knowledge point density of the subject as V1, and the adjusted The knowledge point density of the subject is recorded as V2, and V2=V1×Kvx is set, x=1,2.

Further, when determining to adjust the learning duration of the subject, the data analysis unit calculates the first duration ratio ΔTa between the first average learning duration Ta and the preset learning duration T0, △Ta=Ta /T0, and determine to adjust the learning duration of the subject based on the comparison result between the first duration ratio ΔTa and the preset duration ratio,

Wherein, the data analysis unit is provided with a first preset duration ratio ΔT1, a second preset duration ratio ΔT2, a first learning duration adjustment coefficient Kt1, a second learning duration adjustment coefficient Kt2 and a third learning duration adjustment coefficient Kt3 , △T1＜△T2, 0.5＜Kt1＜Kt2＜Kt3＜1,

If △Ta<△T1, the data processing unit determines to use Kt1 to adjust the learning time of the subject;

If △T1≤△Ta<△T2, the data processing unit determines to use Kt2 to adjust the learning time of the subject;

If △T2 ≤ △Ta, the data processing unit determines to use Kt3 to adjust the learning time of the subject;

If the data processing unit determines to use the yth learning duration adjustment coefficient Kty to adjust the learning duration of the subject, the data processing unit records the learning duration of the subject as T1, and the adjusted subject The learning time is recorded as T2, set T2=T1×Kty, y=1, 2, 3.

Further, when the user completes the teaching content of a program adjustment period Ri, the data analysis unit obtains the second learning status information of each of the subjects in the current program adjustment period and the second learning status information of each of the subjects in the previous program adjustment period. The third learning status information of the subject, and calculate the program period adjustment parameter Gb according to the following formula,

,

Tb represents the second average learning time of the subject in the second learning status information, Tc represents the third average learning time of the subject in the third learning status information, and Wb represents the second average learning time of the subject in the second learning status information. The average exercise score, Wc represents the third average exercise score of the subject mentioned in the third learning status information.

Further, the data analysis unit determines whether to adjust the teaching resource matching plan of the subject again based on the comparison result of the plan cycle adjustment parameter Gb and the preset plan cycle comparison parameter,

Wherein, the data analysis unit is provided with a first preset scheme period comparison parameter Gb1, a second preset scheme period comparison parameter Gb2, and a third knowledge point density adjustment coefficient Kv3, 1<Kv3<1.3,

If Gb<Gb1, the data analysis unit determines to use Kv2 to re-adjust the knowledge point density of the subject;

If Gb1≤Gb<Gb2, the data analysis unit determines to use Kv3 to re-adjust the knowledge point density of the subject;

If Gb2≤Gb, the data analysis unit determines to adjust the learning time of the subject again;

If the data analysis unit determines to use the xth knowledge point density adjustment coefficient Kvx to re-adjust the knowledge point density of the subject, the data processing unit will record the re-adjusted knowledge point density of the subject as V3 , set V3=Ve×Kvx, e=1, 2, x=2, 3.

Further, when determining to adjust the learning duration of the subject again, the data analysis unit calculates the second duration ratio ΔTb, ΔTb of the second average learning duration Tb and the third average learning duration Tc. =Tb/T0, and determine to adjust the learning duration of the subject based on the comparison result of the second duration ratio ΔTb and the preset duration ratio,

Wherein, the data analysis unit is provided with a fourth learning duration adjustment coefficient Kt4, 1<Kt4<1.3,

If △Tb < △T1, the data processing unit determines to use Kt2 to adjust the learning time of the subject again;

If △T1 ≤ △Tb < △T2, the data processing unit determines to use Kt3 to adjust the learning time of the subject again;

If △T2 ≤ △Tb, the data processing unit determines to use Kt4 to adjust the learning time of the subject again;

If the data processing unit determines to use the yth learning duration adjustment coefficient Kty to re-adjust the learning duration of the subject, the re-adjusted learning duration of the subject will be recorded as T3, and T3 = Tu×Kty will be set. , y=2, 3, 4, u=1, 2.

Compared with the prior art, the beneficial effect of the present invention is that the data analysis unit analyzes the learning effect of the teaching resources of the subject assigned by the user according to the user's learning status information of the subject, and in After obtaining the analysis results, the data processing unit adjusts the user's teaching resource matching plan according to the analysis results of the data analysis unit. Finally, the teaching resource matching unit matches the appropriate teaching resource matching plan for the user according to the user's teaching resource matching plan. The teaching resources of each subject ensure the accuracy of matching of teaching resources, thereby improving users' learning efficiency.

Further, the data analysis unit is also connected to the plan storage unit and the information storage unit to match the average knowledge of each subject in the plan according to the teaching resources of each user whose basic information is the same. Point density and average learning time determine the teaching resource matching scheme for each subject of the user, thereby improving the accuracy of preliminary matching of teaching resources for new users.

Further, the data analysis unit determines the plan adjustment cycle of the teaching resource matching plan based on the knowledge point density of each subject in the user's teaching resource matching plan and the preset knowledge point density, thereby ensuring the teaching resource matching. The program determines the accuracy of the adjustment period.

Further, when the user completes the teaching content of a plan adjustment cycle, the data analysis unit obtains the first learning status information of each subject in the current plan adjustment cycle, and calculates the first learning status information of the teaching resource matching plan for the subject. An adjustment parameter, and determining whether to adjust the teaching resource matching scheme for the subject based on the comparison result between the first adjustment parameter and the preset scheme adjustment comparison parameter, thereby improving the accuracy of matching teaching resources for users.

Further, when determining to adjust the teaching resource plan of the subject, the data analysis unit calculates the first score difference between the standard exercise score of the subject and the first average score, and calculates the first score difference based on the first The comparison result between the score difference and the preset score difference determines the adjustment of the knowledge point density of the subject, thereby further improving the accuracy of matching teaching resources for users.

Further, when determining to adjust the learning duration of the subject, the data analysis unit calculates a first duration ratio between the first average learning duration and the preset learning duration, and calculates the first duration ratio based on the first duration ratio. The comparison result with the preset duration ratio determines to adjust the density of knowledge points of the subject, thereby further improving the accuracy of matching teaching resources for users.

Further, when the user completes the teaching content of a program adjustment cycle, the data analysis unit obtains the second learning status information of each subject in the current program adjustment cycle and each of the subjects in the previous program adjustment cycle. The third learning status information is obtained, and the program cycle adjustment parameters are calculated, thereby ensuring the scientific nature of the evaluation of the matching effect of teaching resources.

Further, the data analysis unit determines whether to adjust the teaching resource matching scheme of the subject again based on the comparison result between the scheme period adjustment parameter and the preset scheme period comparison parameter, thereby further improving the efficiency of matching teaching resources for users. Accuracy.

Further, when determining to adjust the learning duration of the subject again, the data analysis unit calculates a second duration ratio between the second average learning duration and the third average learning duration, and calculates the second duration ratio based on the second The comparison result between the duration ratio and the preset duration ratio determines that the learning duration of the subject should be adjusted again to ensure the accuracy of the user's matching of teaching resources, thereby improving the user's learning efficiency.

Description of the drawings

Figure 1 is a schematic structural diagram of a teaching resource matching system according to an embodiment of the present invention.

Detailed ways

In order to make the purpose and advantages of the present invention more clear, the present invention will be further described below in conjunction with the examples; it should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the present invention.

Preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of the present invention.

It should be noted that in the description of the present invention, the terms "upper", "lower", "left", "right", "inner", "outer" and other terms indicating the direction or positional relationship are based on the figures. The directions or positional relationships shown are only for convenience of description and do not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be construed as a limitation of the present invention.

In addition, it should be noted that in the description of the present invention, unless otherwise clearly stated and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense. For example, it can be a fixed connection or a fixed connection. It is a detachable connection or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be an internal connection between two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

Please refer to Figure 1, which is a schematic structural diagram of a teaching resource matching system according to an embodiment of the present invention.

The teaching resource matching system provided by this embodiment includes:

The information storage unit is used to store the basic information of each user. The basic information includes age, gender and year group information;

The learning status recording unit is used to record the learning status information of each user. The learning status information includes the user's learning time of each subject teaching content and the exercise scores corresponding to the subject teaching content;

Teaching resource library, which is used to store distributable teaching resource information;

The plan storage unit is connected to the information storage unit and is used to store the teaching resource matching plan of each subject for each user. The teaching resource matching plan includes the knowledge point density and learning time of the subject;

a data analysis unit, which is connected to the learning status recording unit and is used to analyze the learning effect of the teaching resources of the subjects assigned by the user based on the learning status information of the user's subjects;

A data processing unit, which is connected to the data analysis unit and the plan storage unit respectively, and is used to adjust the user's teaching resource matching plan according to the analysis results of the data analysis unit;

The teaching resource matching unit is connected to the plan storage unit and teaching resources respectively, and is used to match the user with suitable teaching resources for each subject according to the user's teaching resource matching plan.

Specifically, the data analysis unit is also connected to the plan storage unit and the information storage unit to match the average knowledge point density of each subject in the plan according to the teaching resources of each user whose basic information is the same or similar. The average learning time determines the user’s teaching resource matching plan for each subject.

Specifically, the data analysis unit determines the program adjustment cycle of the teaching resource matching program based on the density of knowledge points of each subject in the user's teaching resource matching program and the preset density of knowledge points.

Among them, the data analysis unit is provided with a first preset knowledge point density D1, a second preset knowledge point density D2, a first plan adjustment period R1, a second plan adjustment period R2 and a third plan adjustment period R3, D1<D2, R1>R2>R3, and record the knowledge point density of the subject as D,

If D<D1, the data analysis unit determines that the plan adjustment period is R1;

If D1≤D<D2, the data analysis unit determines that the plan adjustment period is R2;

If D2≤D, the data analysis unit determines that the plan adjustment period is R3.

Specifically, the data analysis unit obtains the first learning status information of each subject in the current program adjustment period when the user completes the teaching content of a program adjustment period Ri, and calculates the program adjustment parameter Ga of the subject's teaching resource matching program according to the following formula ,

,

Among them, Ta represents the first average learning time of the subject in the first learning status information, T0 represents the preset learning time, Qt represents the impact weight of the average learning time of the subject on the first adjustment parameter Ga, and Wa represents the first learning status information. The first average exercise score of the subject, W0 represents the standard exercise score of the subject, and Qw represents the influence weight of the first average exercise score of the subject on the first adjustment parameter Ga.

Further, the data analysis unit determines whether to adjust the teaching resource matching plan of the subject based on the comparison result between the first adjustment parameter Ga and the plan comparison parameter Ga0,

If Ga ≤ Ga0, the data analysis unit determines to adjust the subject’s teaching resource matching plan;

If Ga>Ga0, the data analysis unit determines not to adjust the subject's teaching resource matching plan.

Specifically, when determining to adjust the subject's teaching resource plan, the data analysis unit calculates the first score difference △Wa between the subject's standard exercise score and the first average score, △Wa=W0-Wa, and based on the first score The comparison result between the score difference △Wa and the preset score difference determines the adjustment of the knowledge point density of the subject.

The data processing unit is provided with a first preset grade difference value △W1, a second preset grade difference value △W2, a first knowledge point density adjustment coefficient Kv1 and a second knowledge point density adjustment coefficient Kv2, △W1＜△W2, 0.7＜Kv2＜Kv1＜1，

If △Wa＜△W1 the data analysis unit determines to adjust the study time of the subject;

If △W1 ≤ △Wa < △W2, the data analysis unit determines to use Kv1 to adjust the knowledge point density of the subject;

If △W2 ≤ △Wa, the data analysis unit determines to use Kv2 to adjust the knowledge point density of the subject;

If the data analysis unit determines to use the xth knowledge point density adjustment coefficient Kvx to adjust the knowledge point density of the subject, the data processing unit will record the knowledge point density of the subject as V1, and record the adjusted knowledge point density of the subject as V1 , set V2=V1×Kvx, x=1,2.

Specifically, when determining to adjust the learning duration of a subject, the data analysis unit calculates the first duration ratio ΔTa between the first average learning duration Ta and the preset learning duration T0, △Ta=Ta/T0, and calculates the first duration ratio ΔTa based on the first average learning duration Ta and the preset learning duration T0. The comparison result between the duration ratio ΔTa and the preset duration ratio determines the adjustment of the learning duration of the subject,

Among them, the data analysis unit is provided with a first preset duration ratio ΔT1, a second preset duration ratio ΔT2, a first learning duration adjustment coefficient Kt1, a second learning duration adjustment coefficient Kt2 and a third learning duration adjustment coefficient Kt3, △ T1＜△T2, 0.5＜Kt1＜Kt2＜Kt3＜1,

If △Ta<△T1, the data processing unit determines to use Kt1 to adjust the learning time of the subject;

If △T1 ≤ △Ta < △T2, the data processing unit determines to use Kt2 to adjust the learning time of the subject;

If △T2 ≤ △Ta, the data processing unit determines to use Kt3 to adjust the learning time of the subject;

If the data processing unit determines to adjust the learning time of the subject using the yth learning time adjustment coefficient Kty, the data processing unit records the learning time of the subject as T1, records the adjusted learning time of the subject as T2, and sets T2 =T1×Kty, y=1, 2, 3.

Specifically, when the user completes the teaching content of a program adjustment cycle Ri, the data analysis unit obtains the second learning status information of each subject in the current program adjustment cycle and the third learning status information of each subject in the previous program adjustment cycle. , and calculate the program period adjustment parameter Gb according to the following formula,

,

Tb represents the second average learning time of the subject in the second learning status information, Tc represents the third average learning time of the subject in the third learning status information, Wb represents the second average exercise score of the subject in the second learning status information, and Wc represents The third average exercise score of the subject in the third learning status information.

Specifically, the data analysis unit determines whether to adjust the subject's teaching resource matching plan again based on the comparison result between the plan cycle adjustment parameter Gb and the preset plan cycle comparison parameter.

Among them, the data analysis unit is provided with a first preset scheme period comparison parameter Gb1, a second preset scheme period comparison parameter Gb2, and a third knowledge point density adjustment coefficient Kv3, 1<Kv3<1.3,

If Gb<Gb1, the data analysis unit determines to use Kv2 to adjust the knowledge point density of the subject again;

If Gb1≤Gb<Gb2, the data analysis unit determines to use Kv3 to adjust the knowledge point density of the subject again;

If Gb2≤Gb, the data analysis unit determines to adjust the learning time of the subject again;

If the data analysis unit determines to use the xth knowledge point density adjustment coefficient Kvx to re-adjust the knowledge point density of the subject, the data processing unit will record the re-adjusted knowledge point density of the subject as V3 and set V3=Ve×Kvx , e=1, 2, x=2, 3.

Specifically, when determining to adjust the learning time of the subject again, the data analysis unit calculates the second time ratio ΔTb between the second average learning time Tb and the third average learning time Tc, △Tb=Tb/T0, and based on The comparison result between the second duration ratio ΔTb and the preset duration ratio determines that the learning duration of the subject is adjusted,

Among them, the data analysis unit is provided with a fourth learning duration adjustment coefficient Kt4, 1<Kt4<1.3,

If △Tb < △T1, the data processing unit determines to use Kt2 to adjust the learning time of the subject again;

If △T1 ≤ △Tb < △T2, the data processing unit determines to use Kt3 to adjust the learning time of the subject again;

If △T2 ≤ △Tb, the data processing unit determines to use Kt4 to adjust the learning time of the subject again;

If the data processing unit determines to use the yth learning duration adjustment coefficient Kty to re-adjust the learning duration of the subject, the re-adjusted learning duration of the subject will be recorded as T3, and T3 = Tu × Kty, y = 2, 3 ,4,u=1,2.

So far, the technical solution of the present invention has been described with reference to the preferred embodiments shown in the drawings. However, those skilled in the art can easily understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or replacements to relevant technical features, and the technical solutions after these changes or replacements will fall within the protection scope of the present invention.

The above are only preferred embodiments of the present invention and are not intended to limit the present invention; for those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims (6)

1. A teaching resource matching system, comprising:

the information storage unit is used for storing basic information of each user, wherein the basic information comprises age, gender and age group information where the user is located;

the learning state recording unit is used for recording learning state information of each user, wherein the learning state information comprises learning duration of each subject teaching content of the user and exercise achievements corresponding to the subject teaching content;

a teaching resource library for storing allocable teaching resource information;

the scheme storage unit is connected with the information storage unit and used for storing teaching resource matching schemes of subjects of the users, wherein the teaching resource matching schemes comprise knowledge point density and learning duration of the subjects;

the data analysis unit is connected with the learning state recording unit and used for analyzing the learning effect of the teaching resources of the subjects distributed by the user according to the learning state information of the subjects;

the data processing unit is respectively connected with the data analysis unit and the scheme storage unit and is used for adjusting the teaching resource matching scheme of the user according to the analysis result of the data analysis unit;

the teaching resource matching unit is respectively connected with the scheme storage unit and the teaching resource library and is used for matching teaching resources of proper subjects for the user according to the teaching resource matching scheme of the user;

the data analysis unit is also connected with the scheme storage unit and the information storage unit and is used for determining teaching resource matching schemes of the subjects of the user according to the average knowledge point density and the average learning duration of the subjects in the teaching resource matching schemes of the users with the same basic information;

the data analysis unit determines a scheme adjustment period of the teaching resource matching scheme according to the knowledge point density of each subject in the teaching resource matching scheme of the user and the preset knowledge point density,

wherein the data analysis unit is provided with a first preset knowledge point density D1, a second preset knowledge point density D2, a first scheme adjustment period R1, a second scheme adjustment period R2 and a third scheme adjustment period R3, D1 is less than D2, R1 is more than R2 is more than R3, the knowledge point density of the subject is marked as D,

if D is less than D1, the data analysis unit determines that the scheme adjustment period is R1;

if D1 is less than or equal to D2, the data analysis unit determines that the scheme adjustment period is R2;

if D2 is less than or equal to D, the data analysis unit determines that the scheme adjustment period is R3;

the data analysis unit acquires first learning state information of each subject in a current scheme adjustment period when the user completes teaching contents of one scheme adjustment period Ri, calculates a scheme first adjustment parameter Ga according to the following formula,

，

wherein Ta represents a first average learning duration of the subject in the first learning state information, T0 represents a preset learning duration, qt represents an influence weight of the average learning duration of the subject on the first adjustment parameter Ga, wa represents a first average problem score of the subject in the first learning state information, W0 represents a standard problem score of the subject, and Qw represents an influence weight of the first average problem score of the subject on the first adjustment parameter Ga;

the data analysis unit determines whether to adjust the teaching resource matching scheme of the subject according to the comparison result of the first adjustment parameter Ga and the scheme comparison parameter Ga0,

if Ga is less than or equal to Ga0, the data analysis unit determines to adjust the teaching resource matching scheme of the subject;

if Ga is more than Ga0, the data analysis unit determines that the teaching resource matching scheme of the subject is not adjusted.

2. The teaching resource matching system according to claim 1, wherein the data analyzing unit calculates a first achievement difference Δwa of the standard exercise achievement of the subject and the first average exercise achievement when determining to adjust the teaching resource plan of the subject, Δwa=w0-Wa, and determines to adjust the knowledge point density of the subject based on a comparison result of the first achievement difference Δwa with a preset achievement difference,

wherein the data processing unit is provided with a first preset achievement difference DeltaW 1, a second preset achievement difference DeltaW 2, a first knowledge point density adjustment coefficient Kv1 and a second knowledge point density adjustment coefficient Kv2, deltaW 1 < DeltaW2, kv2 < Kv1 < 1,

if DeltaWa < DeltaW1, the data analysis unit determines to adjust the learning duration of the subject;

if DeltaW 1 is less than or equal to DeltaWa < DeltaW2, the data analysis unit determines to adjust the knowledge point density of the subject by using Kv 1;

if DeltaW 2 is less than or equal to DeltaWa, the data analysis unit determines to adjust the knowledge point density of the subject by using Kv 2;

if the data analysis unit determines that the x-th knowledge point density adjustment coefficient Kvx is used to adjust the knowledge point density of the subject, the data processing unit marks the knowledge point density of the subject as V1, marks the adjusted knowledge point density of the subject as V2, and sets v2=v1× Kvx, and x=1, 2.

3. The teaching resource matching system according to claim 2, wherein the data analyzing unit calculates a first time length ratio Δta of the first average learning time length Ta to the preset learning time length T0, Δta=ta/T0, and determines to adjust the learning time length of the subject based on a comparison result of the first time length ratio Δta to the preset time length ratio,

wherein the data analysis unit is provided with a first preset time length ratio delta T1, a second preset time length ratio delta T2, a first learning time length adjustment coefficient Kt1, a second learning time length adjustment coefficient Kt2 and a third learning time length adjustment coefficient Kt3, delta T1 < [ delta ] T2, kt1 < Kt2 < Kt3 < 1,

if delta Ta < deltaT 1, the data processing unit determines to adjust the learning duration of the subject by adopting Kt 1;

if DeltaT 1 is less than or equal to DeltaTa < DeltaT2, the data processing unit determines to adopt Kt2 to adjust the learning duration of the subject;

if delta T2 is less than or equal to delta Ta, the data processing unit determines to adjust the learning duration of the subject by using Kt 3;

if the data processing unit determines that the y-th learning duration adjustment coefficient Kty is adopted to adjust the learning duration of the subject, the data processing unit marks the learning duration of the subject as T1, marks the adjusted learning duration of the subject as T2, and sets t2=t1× Kty, and y=1, 2, and 3.

4. The teaching resource matching system according to claim 3, wherein said data analyzing unit acquires second learning state information of each of said subjects in a current course adjustment period and third learning state information of each of said subjects in a previous course adjustment period when said user completes teaching contents of one course adjustment period Ri, and calculates a course period adjustment parameter Gb according to the following formula,

，

tb represents a second average learning duration of the subject in the second learning state information, tc represents a third average learning duration of the subject in the third learning state information, wb represents a second average problem score of the subject in the second learning state information, and Wc represents a third average problem score of the subject in the third learning state information.

5. The teaching resource matching system according to claim 4, wherein the data analyzing unit determines whether to readjust the teaching resource matching scheme of the subject based on a comparison result of the scheme period adjustment parameter Gb and a preset scheme period comparison parameter,

wherein the data analysis unit is provided with a first preset scheme period comparison parameter Gb1, a second preset scheme period comparison parameter Gb2 and a third knowledge point density adjustment coefficient Kv3, kv3 is more than 1 and less than 1.3,

if Gb is smaller than Gb1, the data analysis unit determines that the knowledge point density of the subject is readjusted by adopting Kv 2;

if Gb1 is less than or equal to Gb2, the data analysis unit determines that Kv3 is adopted to readjust the knowledge point density of the subject;

if Gb2 is less than or equal to Gb, the data analysis unit determines to readjust the learning duration of the subject;

if the data analysis unit determines that the x-th knowledge point density adjustment coefficient Kvx is used for readjusting the knowledge point density of the subject, the data processing unit marks the readjusted knowledge point density of the subject as V3, and sets v3=ve× Kvx, e=1, 2, and x=2, 3.

6. The teaching resource matching system according to claim 5, wherein when determining to readjust the learning duration of the subject, the data analysis unit calculates a second duration ratio Δtb of the second average learning duration Tb to the third average learning duration Tc, Δtb=tb/T0, determines to readjust the learning duration of the subject based on a comparison result of the second duration ratio Δtb to a preset duration ratio,

wherein the data analysis unit is provided with a fourth learning duration adjustment coefficient Kt4, deltaT 1 < DeltaT2, kt4 < 1.3,

if DeltaTb < DeltaT1, the data processing unit determines to use Kt2 to readjust the learning duration of the subject;

if DeltaT1 is less than or equal to DeltaTb < DeltaT2, the data processing unit determines to readjust the learning duration of the subject by using Kt 3;

if delta T2 is less than or equal to delta Tb, the data processing unit determines to readjust the learning duration of the subject by adopting Kt 4;

if the data processing unit determines that the y-th learning duration adjustment coefficient Kty is adopted to readjust the learning duration of the subject, the readjusted learning duration of the subject is denoted as T3, and t3=tu× Kty, y=2, 3,4, u=1, 2 are set.