CN111476690B - Multi-mode home-school communication system and method - Google Patents
Multi-mode home-school communication system and method Download PDFInfo
- Publication number
- CN111476690B CN111476690B CN202010412857.XA CN202010412857A CN111476690B CN 111476690 B CN111476690 B CN 111476690B CN 202010412857 A CN202010412857 A CN 202010412857A CN 111476690 B CN111476690 B CN 111476690B
- Authority
- CN
- China
- Prior art keywords
- learning
- time
- abnormal
- threshold
- score
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004891 communication Methods 0.000 title claims abstract description 19
- 238000000034 method Methods 0.000 title claims description 17
- 230000002159 abnormal effect Effects 0.000 claims abstract description 57
- 230000005856 abnormality Effects 0.000 claims abstract description 3
- 238000012163 sequencing technique Methods 0.000 claims 2
- 230000000694 effects Effects 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Educational Administration (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Educational Technology (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of education information management, in particular to a multi-mode family-school communication system, which comprises: the acquisition module is used for acquiring the learning information of each subject of the student; the statistical module is used for counting the learning time, the progress scores and the number of times of failing examinations of each subject of the student; the abnormality module is used for judging whether the learning conditions of all the disciplines of the student are abnormal or not; and the pushing module is used for pushing reminding information to parents when the student condition table is abnormal. The invention has the advantages that: whether the performance of the student can be accurately defined is abnormal or not is judged through analyzing the learning time, the progress score and the failure times, so that parents are reminded of paying key attention to the situation in time, and the student is helped to adjust.
Description
Technical Field
The invention relates to the technical field of education information management, in particular to a multi-mode family-school communication system and method.
Background
Currently, parents are difficult to know real-time information of students in time due to busy work or other reasons. In contrast, the file CN110189560a discloses a system for parents to monitor learning of students, where the teacher client is configured to arrange learning tasks, upload learning materials, and send the arranged learning tasks and the uploaded learning materials to the student client and the parent client through a server; the student client is used for receiving the learning tasks and the learning materials sent by the server and sending the learning completion condition to the parent client through the server; the parent client is used for receiving the learning tasks, the learning materials and the student learning completion conditions sent by the server and auditing the student learning completion conditions, and the teacher client is also used for receiving the student learning completion conditions which are audited by the parent client and sent by the server. According to the invention, through information interaction of the student client, the teacher client and the parent client, parents can know the learning task arranged by the teacher, and the teacher can know the condition that the student completes the learning task at home, so that the student can be ensured to complete the learning task seriously.
However, except for ensuring that the parents can timely know the learning condition of the student, the prior art is difficult to timely remind the parents of focusing attention on the condition when the student is abnormally represented, so as to help the student to adjust.
Disclosure of Invention
The invention provides a multi-mode home-school communication system and method, which solve the technical problem that parents are difficult to be reminded of paying key attention to the situation in time when students are abnormally represented in the prior art.
The basic scheme provided by the invention is as follows: a multi-mode home-school communication system, comprising:
the acquisition module is used for acquiring the learning information of each subject of the student and sending the learning information;
the statistical module is used for receiving the learning information and carrying out statistics on the learning time, the progress score and the number of times of failing examinations of each subject of the student according to the learning information;
the abnormity module is used for judging whether the learning conditions of the students in all the disciplines are abnormal: first, the learning time is compared with the magnitude of the time threshold:
if the learning time is less than the time threshold, then the number of failed times is compared with the number threshold: if the number of times of failing is smaller than the number threshold, judging that the learning condition is normal; if the number of times of failing is larger than or equal to the number threshold, judging that the learning condition is abnormal;
if the learning time is greater than or equal to the time threshold, then the progress score is compared to the score threshold: if the progress score is larger than or equal to the score threshold value, judging that the learning condition is normal; if the progress score is smaller than the score threshold value, judging that the learning condition is abnormal;
finally, sending a judgment result;
and the pushing module is used for receiving the judgment result and pushing the reminding information to the parents when the learning condition is abnormal.
The working principle of the invention is as follows: when the learning time is less than the time threshold: the number of times of failing is larger than or equal to the threshold value of times, which indicates that the learning time of students is not enough and the learning effect is not good; on the contrary, the number of times of failing is smaller than the threshold of times, which indicates that although the learning time of the student is insufficient, the student may have strong comprehension and high learning efficiency. When the learning time is greater than or equal to the time threshold: the progress score is greater than or equal to the score threshold, which indicates that the progress of the student is obvious; conversely, a progress score that is less than the score threshold indicates that there may be some slack in the birth.
The invention has the advantages that: whether the performance of the student can be accurately defined is abnormal or not through the analysis and judgment of the learning time, the progress score and the failing times, so that parents are reminded of focusing on the condition in time, and the student is assisted in adjustment.
The invention can ensure that parents can know the learning condition of students in time and remind the parents to pay key attention to the condition when the students are abnormally represented.
Furthermore, the collection module is also used for collecting subject teacher information of each subject.
The beneficial effects are that: after the parents receive the reminding information, the parents can practice with teachers of corresponding subjects in time, and therefore learning conditions of students can be known in detail.
Furthermore, the statistics module is also used for counting the progress ranks of the students in each subject.
The beneficial effects are that: through the advanced ranking of each subject, the transverse comparison can be carried out on all students; especially, the study condition of students can be reflected under the condition that examination questions are difficult and easy.
Further, time thresholds, times thresholds and score thresholds of the disciplines are all set in advance manually.
Has the advantages that: due to the characteristics of different subjects, the teaching schedule is usually different and the total score is also different in teaching class, so that whether the learning condition of students is abnormal or not is more favorably determined by respectively considering.
Further, the pushing module pushes reminding information according to the number of subjects with abnormal learning conditions:
when the number of subjects with abnormal learning conditions is larger than a first threshold value, special attention is reminded;
when the number of subjects with abnormal learning conditions is smaller than or equal to a first threshold value and larger than a second threshold value, general attention is reminded;
when the number of subjects with abnormal learning conditions is less than or equal to a second threshold value, the user is reminded to pay attention.
Has the advantages that: the number of subjects with abnormal learning condition reflects the whole learning condition, so that parents can be reminded to pay attention in such a way.
The invention also discloses a multi-mode family-school communication method, which comprises the following steps:
s1, collecting learning information of each subject of a student and sending the learning information;
s2, receiving learning information, and counting learning time, progress scores and examination failing times of each subject of the student according to the learning information;
s3, judging whether the learning conditions of the students in all the subjects are abnormal:
first, the learning time is compared with the magnitude of the time threshold:
if the learning time is less than the time threshold, then the number of failed times is compared with the number threshold: if the number of times of failing is smaller than the number threshold, judging that the learning condition is normal; if the times of failing are larger than or equal to the time threshold value, judging that the learning condition is abnormal;
if the learning time is greater than or equal to the time threshold, then the progress score is compared to the score threshold: if the progress score is larger than or equal to the score threshold value, judging that the learning condition is normal; if the progress score is smaller than the score threshold value, judging that the learning condition is abnormal;
finally, sending a judgment result;
and S4, receiving the judgment result, and pushing reminding information to parents when the learning condition is abnormal.
The working principle of the invention is as follows: when the learning time is less than the time threshold: the number of times of failing is larger than or equal to the threshold value of times, which indicates that the learning time of students is not enough and the learning effect is not good; on the contrary, the number of times of failing is smaller than the threshold of times, which indicates that although the learning time of the student is insufficient, the student may have strong comprehension and high learning efficiency. When the learning time is greater than or equal to the time threshold: the progress score is greater than or equal to the score threshold, which indicates that the progress of the student is obvious; conversely, a progression score less than the score threshold indicates that there may be some slack in the student.
The invention has the advantages that: whether the performance of the student can be accurately defined is abnormal or not through the analysis and judgment of the learning time, the progress score and the failing times, so that parents are reminded of focusing on the condition in time, and the student is assisted in adjustment.
The invention can ensure that parents can know the learning condition of students in time and remind the parents to pay key attention to the condition when the students are abnormally represented.
Further, step S1 also collects subject teacher information of each subject.
Has the advantages that: after the parents receive the reminding information, the parents can practice with teachers of corresponding subjects in time, and therefore learning conditions of students can be known in detail.
Further, step S2 also counts the progress ranks of each subject of the student.
The beneficial effects are that: through the advanced ranking of each subject, the transverse comparison can be carried out on all students; especially, the study condition of students can be reflected under the condition that examination questions are difficult and easy.
Further, time thresholds, times thresholds and score thresholds of the disciplines are all set in advance manually.
Has the advantages that: due to the characteristics of different disciplines, the arrangement and the total score of the teaching class are different, so that the study condition of students can be determined to be abnormal or not by considering the disciplines respectively.
Further, step S4 pushes the reminding information according to the number of subjects with abnormal learning condition:
when the number of subjects with abnormal learning conditions is larger than a first threshold value, special attention is reminded;
when the number of subjects with abnormal learning conditions is smaller than or equal to a first threshold value and larger than a second threshold value, general attention is reminded;
when the number of subjects with abnormal learning conditions is less than or equal to a second threshold value, the user is reminded to pay attention.
Has the advantages that: the number of subjects with abnormal learning condition reflects the whole learning condition, so that parents can be reminded to pay attention in such a way.
Drawings
Fig. 1 is a block diagram of a system structure of a multi-mode home-school communication system 1 according to an embodiment of the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example 1
An embodiment 1 of a multi-mode home-to-school communication system according to the present invention is substantially as shown in fig. 1, and includes:
the acquisition module is used for acquiring the learning information of each subject of the student and sending the learning information;
the statistical module is used for receiving the learning information and counting the learning time, progress scores and examination failing times of each subject of the student according to the learning information;
the abnormality module is used for judging whether the learning conditions of the students in all the subjects are abnormal: first, the learning time is compared with the magnitude of the time threshold:
if the learning time is less than the time threshold, then the number of failed times is compared with the number threshold: if the number of times of failing is smaller than the number threshold, judging that the learning condition is normal; if the number of times of failing is larger than or equal to the number threshold, judging that the learning condition is abnormal;
if the learning time is greater than, or equal to, the time threshold, then the magnitude of the progress score is compared to the score threshold: if the progress score is larger than or equal to the score threshold value, judging that the learning condition is normal; if the progress score is smaller than the score threshold value, judging that the learning condition is abnormal;
finally, sending a judgment result;
and the pushing module is used for receiving the judgment result and pushing reminding information to parents when the learning condition is abnormal.
S1, a collecting module collects learning information of each subject of a student, and the learning information is sent to a counting module after the collection is finished.
In this embodiment, each subject includes Chinese, mathematics, english, physics, chemistry and biology, the acquired learning information includes the number of classes, score, class name and contact of teachers in any class, the total score of each subject is 100, the total number of classes is 50, and each class is 1 hour.
For example, the learning information of a certain student Zhang III is as follows:
"language: lesson number, 52 sections; fraction, 55 points; rank, 40 th name; teacher in lessons, liu Mou, 130 ×;
mathematics is as follows: lesson number, 60 sections; score, 88 points; ranking, 12 th name; any lesson teacher, zhangyi, 131 ×;
english: lesson number, 55 sections; fraction, 65 points; ranking, 35 th name; lesson teachers, wang Mou, 132 ×;
physical: lesson number, section 62; score, 82 score; ranking, 8 th name; lesson teachers, sun Mou, 133 x;
chemistry: lesson number, 50 sections; score, 75 points; rank, 22 nd name; lesson teachers, wu Mou, 134 ×;
biology: lesson number, 65 sections; score, 90 points; ranking, 5 th name; lesson teachers, yang Mou, 135 x; "
After the information is collected, the information is sent to a statistical module.
And S2, the statistical module receives the learning information and performs statistics on the learning time, the progress score and the number of times of failing examinations of each subject of the student according to the learning information.
After the statistics module receives the information, the learning time, the progress scores and the number of the examination failing times of each student subject are counted. For example, statistics english: hour =55 × 1=55 hour; if the last examination score is 63 points, the progress score =65-63=2 points; the number of failed times is 0. In addition, the number of the progress of each subject is counted, for example, 4 chemical progresses are counted. Similarly, the learning information of other subjects is counted. And after the statistics is finished, sending the statistical result to an abnormal module.
S3, an abnormal module is used for judging whether the learning conditions of the students in all the subjects are abnormal: first, the learning time is compared with the magnitude of the time threshold: if the learning time is less than the time threshold, then the number of failed times is compared with the number threshold: if the times of failing are less than the time threshold value, judging that the learning condition is normal; if the times of failing are larger than or equal to the time threshold value, judging that the learning condition is abnormal; if the learning time is greater than, or equal to, the time threshold, then the magnitude of the progress score is compared to the score threshold: if the progress score is larger than or equal to the score threshold value, judging that the learning condition is normal; and if the progress score is smaller than the score threshold value, judging that the learning condition is abnormal.
In this embodiment, the time threshold is set to 60 hours, the number threshold is set to 3 times, and the score threshold is set to 5 scores. Specifically, in the first step, the learning time is compared with the time threshold. If the learning time is less than the time threshold, for example, the learning time of the chinese is 52 hours, and the learning time of the english is 55 hours, both of which are less than the time threshold of 60 hours. In the second step, the number of times of failing is compared with the threshold value of times. For example, the number of times of failing to reach the Chinese language is 4 times, which is greater than the threshold value of times of failing to reach the Chinese language by 3 times; the number of times of failing to reach English is 1 and is less than the threshold value of times of 3. Therefore, the learning of english is determined as normal, and the learning of chinese is determined as abnormal. On the contrary, if the learning time is greater than or equal to the time threshold, for example, the learning time of the living being is 65 hours and is greater than the time threshold by 60 hours; the mathematical learning time is 60 hours, which is equal to the time threshold of 60 hours. In the second step, rather than comparing the number of failures to the number threshold, the progress score is compared to the score threshold. For example, the biological previous test is 83 points, the progress point =90-83=7 points, and is 5 points greater than the point threshold; the last mathematic test is 86 points, the progress point =88-86=2 points and is less than the point threshold value of 5 points. Therefore, the learning condition of the living body is determined to be normal, and the learning condition of the mathematics is determined to be abnormal.
And finally, sending the abnormal results of the two departments of the Chinese language and the mathematics to a push module.
And S4, the pushing module pushes reminding information to parents when the learning condition is abnormal.
And after the pushing module receives the abnormal results of the two departments of Chinese and mathematics, the prompting information is pushed according to the number of the subjects with abnormal learning conditions. In this embodiment, the first threshold value is set to 3, and the second threshold value is set to 2. Thirdly, the number of subjects with abnormal learning conditions is 2, so that the reminding information of 'attention should be paid' is pushed to parents. After the parents receive the reminding information of 'attention to', the parents can dial the mobile phone number 130 x of the language lessee teacher Liu Mou and the mobile phone number 131 x of a certain student lessee to know the detailed learning condition of the student.
Example 2
In this embodiment, the teachers of the respective disciplines are arranged with a pre-study learning task and distribute a pre-study electronic version of the learning material, in the format of. The learning material has 40 pages of contents, each 8 pages are a learning unit according to the sequence, the last page of each learning unit is a test subject, and the other pages are self-learning materials. The learning data in doc format is learned on the computer, and the camera is turned on simultaneously, so that teachers can check the learning state of each student in real time.
The time axis of student learning is regarded as a straight line, and the time axis is named as point A when learning page 1 starts, point B when learning page 9 starts, point C when learning page 17 starts, point D when learning page 25 starts, point E when learning page 33 starts, and point F when learning page 40 starts. When the student starts to learn, namely point a, the time is started. It can be seen that the learning process of each student can be divided into five time periods of AB, BC, CD, DE and EF.
Zhang III learns the contents of pages 1 to 8 from 14 to 00, that is, learning and completing test questions take 2 hours in total. Wherein, the camera does not shoot Zhang III in the period of 14. Lee four learns the contents of pages 1 to 8, from 15 to 00-15. If the accuracy of the test questions completed by Zhang III is 80% and the accuracy of the test questions completed by Li IV is 80%, the actual learning time of Zhang III is 90 minutes and the actual learning time of Li IV is 40 minutes, but from the learning result, the learning effects of Zhang III and Li IV are the same. Therefore, it can be considered that the actual learning time of zhang-three (90 minutes) and the actual learning time of lie-four (40 minutes) are equivalent, that is, the "equivalent learning time" of zhang-three is 40 minutes. It can be seen that in the AB segment, the contents of pages 1 to 8 are also learned to achieve the same learning effect, zhang Sanyong takes 90 minutes, while lie four takes only 40 minutes, and it is obvious that the learning efficiency of lie four is higher than that of zhang, and the learning efficiency of lie four is 2.25 times (90/40) of zhang in terms of time. Similarly, the "equivalent learning time" of Zhang three and Li four in the BC, CD, DE and EF sections can also be determined.
In this embodiment, the shift has 50 students, and the "equivalent learning time" of these students in each learning unit can be determined in a similar manner as described above. Then, the students are ranked from high to low, or from low to high according to the "equivalent learning time". For example, the "equivalent learning time" of a, b, c, d is 30 minutes, 20 minutes, 50 minutes, 40 minutes, respectively, and if the "equivalent learning time" is arranged from high to low, it is: c, D, A and B, if the equivalent learning time is arranged from low to high, the method is as follows: b, A, D and C.
If one learning unit is arranged from low to high according to the equivalent learning time, the sequence is B, A, D and C, wherein the equivalent learning time of B and D is respectively 25 minutes and 35 minutes, but the equivalent learning time of A is unknown. Since A is located between B and D, the 'equivalent learning time' of A can be estimated. For example, the arithmetic mean is adopted for estimation, and the "equivalent learning time" of the A is (25 + 35)/2 =30 minutes; or the geometric mean is adopted for estimation, and the 'equivalent learning time' of the nail is (25 multiplied by 35) 1/2 =29.5 minutes. It can be seen that, at some time, even if the 'equivalent learning time' of a certain student is not known, the method can be adopted to carry out rough learningAnd (6) estimating.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several variations and modifications can be made, which should also be considered as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the utility of the patent. The scope of the claims of the present application shall be defined by the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. A multi-mode home-school communication system is characterized in that: the method comprises the following steps:
the acquisition module is used for acquiring learning information of each subject of the student and sending the learning information;
the statistical module is used for receiving the learning information and carrying out statistics on the learning time, the progress score and the number of times of failing examinations of each subject of the student according to the learning information;
the abnormality module is used for judging whether the learning conditions of the students in all the subjects are abnormal: first, the learning time is compared with the magnitude of the time threshold:
if the learning time is less than the time threshold, then the number of times of failing is compared with the size of the number threshold: if the number of times of failing is smaller than the number threshold, judging that the learning condition is normal; if the times of failing are larger than or equal to the time threshold value, judging that the learning condition is abnormal;
if the learning time is greater than or equal to the time threshold, then the progress score is compared to the score threshold: if the progress score is larger than or equal to the score threshold value, judging that the learning condition is normal; if the progress score is smaller than the score threshold value, judging that the learning condition is abnormal;
finally, sending a judgment result;
the pushing module is used for receiving the judgment result and pushing reminding information to parents when the learning condition is abnormal;
the acquisition module is further used for acquiring the learning state of students, and the statistics module is further used for counting the equivalent learning time according to the time of the learning state and the accuracy of the test questions and sequencing the students from high to low or from low to high according to the equivalent learning time.
2. The multi-mode family-school communication system of claim 1, wherein: the acquisition module is also used for acquiring the subject teacher information of each subject.
3. The multi-mode home-school communication system according to claim 1, wherein: and the statistic module is also used for counting the progress ranks of each subject of the student.
4. The multi-mode home-school communication system according to claim 1, wherein: the time threshold, the frequency threshold and the score threshold of each subject are all set in advance manually.
5. The multi-mode home-school communication system according to claim 1, wherein: the pushing module pushes reminding information according to the number of subjects with abnormal learning conditions:
when the number of subjects with abnormal learning conditions is larger than a first threshold value, special attention is reminded;
when the number of subjects with abnormal learning conditions is smaller than or equal to a first threshold value and larger than a second threshold value, general attention is reminded;
when the number of subjects with abnormal learning conditions is less than or equal to the second threshold value, the attention is reminded.
6. A multi-mode home-school communication method is characterized by comprising the following steps: the method comprises the following steps:
s1, collecting learning information of each subject of a student and sending the learning information;
s2, receiving learning information, and counting learning time, progress scores and examination failing times of each subject of the student according to the learning information;
s3, judging whether the learning conditions of the students in all subjects are abnormal:
first, the learning time is compared with the magnitude of the time threshold:
if the learning time is less than the time threshold, then the number of times of failing is compared with the size of the number threshold: if the number of times of failing is smaller than the number threshold, judging that the learning condition is normal; if the times of failing are larger than or equal to the time threshold value, judging that the learning condition is abnormal;
if the learning time is greater than, or equal to, the time threshold, then the magnitude of the progress score is compared to the score threshold: if the progress score is larger than or equal to the score threshold value, judging that the learning condition is normal; if the progress score is smaller than the score threshold value, judging that the learning condition is abnormal;
finally, sending a judgment result;
s4, receiving a judgment result, and pushing reminding information to parents when the learning condition is abnormal;
the learning state of the student is also collected in the S1; and in the S2, counting the equivalent learning time according to the time of the learning state and the accuracy of the test questions, and sequencing the students from high to low or from low to high according to the equivalent learning time.
7. The multi-mode home-school communication method according to claim 6, wherein: step S1 also collects subject teacher information of each subject.
8. The multi-mode family-school communication method of claim 6, wherein: step S2 also counts the progress ranking of each subject of the student.
9. The multi-mode home-school communication method according to claim 6, wherein: the time threshold, the frequency threshold and the score threshold of each subject are all set in advance manually.
10. The multi-mode family-school communication method of claim 6, wherein: s4, prompting information is pushed according to the number of subjects with abnormal learning conditions:
when the number of subjects with abnormal learning conditions is larger than a first threshold value, special attention is reminded;
when the number of subjects with abnormal learning conditions is smaller than or equal to a first threshold value and larger than a second threshold value, general attention is reminded;
when the number of subjects with abnormal learning conditions is less than or equal to a second threshold value, the user is reminded to pay attention.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010412857.XA CN111476690B (en) | 2020-05-15 | 2020-05-15 | Multi-mode home-school communication system and method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010412857.XA CN111476690B (en) | 2020-05-15 | 2020-05-15 | Multi-mode home-school communication system and method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111476690A CN111476690A (en) | 2020-07-31 |
CN111476690B true CN111476690B (en) | 2023-04-14 |
Family
ID=71760097
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010412857.XA Active CN111476690B (en) | 2020-05-15 | 2020-05-15 | Multi-mode home-school communication system and method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111476690B (en) |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2001043107A1 (en) * | 1999-12-08 | 2001-06-14 | Intelliprep Technologies, Inc. | Computer-based, interactive learning method and system |
AU2001261367A1 (en) * | 2000-05-12 | 2001-11-26 | Scientific Learning Corporation | Comprehensive learning assessment tool and method |
CN101770697A (en) * | 2008-12-30 | 2010-07-07 | 上海京城高新技术开发有限公司 | Learning machine with communication function |
US20140038162A1 (en) * | 2012-07-31 | 2014-02-06 | Laureate Education, Inc. | Learning system and method that uses student-selected and mandatory contacts for communicating student messages |
JP6892558B2 (en) * | 2017-08-07 | 2021-06-23 | 中国科学院深▲チェン▼先進技術研究院Shenzhen Institutes Of Advanced Technology Chinese Academy Of Sciences | Theological assistance method and the theological assistance system that adopts the method |
CN107562933A (en) * | 2017-09-19 | 2018-01-09 | 成都思杰聚典科技有限公司 | Check family's school coupled system of Students ' Learning situation |
CN108230471A (en) * | 2018-03-02 | 2018-06-29 | 深圳市伟业兴科技有限公司 | Based on cloud platform with realize in many ways interaction automatic attendance checking system |
CN108428262A (en) * | 2018-03-20 | 2018-08-21 | 王新义 | A kind of intelligent tutoring system |
CN109410105A (en) * | 2018-12-21 | 2019-03-01 | 广东粤众互联信息技术有限公司 | A kind of intelligentized school eduaction system |
CN110689466A (en) * | 2019-11-01 | 2020-01-14 | 广州云蝶科技有限公司 | Multi-dimensional data processing method based on recording and broadcasting |
-
2020
- 2020-05-15 CN CN202010412857.XA patent/CN111476690B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN111476690A (en) | 2020-07-31 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Praetorius et al. | One lesson is all you need? Stability of instructional quality across lessons | |
Yılmaz | Young children’s number sense development: Age related complexity across cases of three children | |
EP3998595A2 (en) | Method and apparatus for adjusting driving training course | |
Jüttner et al. | Validation of a Paper-and-Pencil Test Instrument Measuring Biology Teachers' Pedagogical Content Knowledge by Using Think-Aloud. | |
CN108229688B (en) | Information processing method and device based on IRT | |
CN110909035A (en) | Personalized review question set generation method and device, electronic equipment and storage medium | |
Hariyani et al. | Exploration of Student Learning Obstacles in Solving Fraction Problems in Elementary School. | |
CN112199598A (en) | Recommendation method and device for network courses and computer equipment | |
Clarke et al. | Classification accuracy of easyCBM first-grade mathematics measures: Findings and implications for the field | |
Poitras et al. | Subgroup discovery with user interaction data: An empirically guided approach to improving intelligent tutoring systems | |
Abele et al. | CDMs in vocational education: Assessment and usage of diagnostic problem-solving strategies in car mechatronics | |
CN108804705B (en) | Review recommendation method based on big data and artificial intelligence and education robot system | |
CN111476690B (en) | Multi-mode home-school communication system and method | |
Janusik et al. | Listening metacognitions: Another key to teaching listening | |
CN116777698A (en) | Intelligent teaching method and system based on AI (advanced technology attachment) intelligence | |
CN110782721B (en) | Teaching method, system and vehicle diagnosis equipment | |
Mohapatra et al. | Sampling in research series 1: basic concepts in estimating sample size | |
CN111506806B (en) | Teaching consultant training reminding method, system, equipment and storage medium | |
JP4940213B2 (en) | Education system using electronic blackboard | |
Mcloughlin | Characteristics of students failing medical education: An essay of reflections | |
Ahadi et al. | Aral: An online tool for source code snapshot metadata analysis | |
CN112785465B (en) | Knowledge point pushing method, system, medium and device | |
CN110046147A (en) | It is applicable in user's learning ability value-acquiring method and its application of Adaptable System | |
CN112733029A (en) | Highly targeted learning method, device, terminal and storage medium | |
CN113344204B (en) | Cognitive data processing method and device for multiple logic problems |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |