CN106846201B - Learning hour management method based on network education - Google Patents
Learning hour management method based on network education Download PDFInfo
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- CN106846201B CN106846201B CN201710060796.3A CN201710060796A CN106846201B CN 106846201 B CN106846201 B CN 106846201B CN 201710060796 A CN201710060796 A CN 201710060796A CN 106846201 B CN106846201 B CN 106846201B
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- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
Abstract
The invention provides a time-learning management method based on network education, which comprises the following steps: presetting a time interval in the learning terminal; the learning terminal detects whether the student is in a learning state or not at intervals of a time interval; if the learning terminal detects that the student is in a learning state, starting a camera to obtain a video or a photo in front of the learning terminal; judging whether a student is in front of the current learning terminal or not according to the acquired video or photo; if a student is in front of the learning terminal, the learning terminal records current learning information, wherein the learning information comprises student identification, learning resource identification and current time. The learning information of the student can be counted regardless of whether the learning terminal is in an online state or an offline state, and the phenomena of hanging and brushing and learning replacement can be prevented.
Description
Technical Field
The invention relates to the technical field of mobile internet education, in particular to a time learning management method based on network education.
Background
The internet education benefits from the optimization of network foundation and the popularization of mobile terminal equipment, and brings more fragmented time of students to mobile learning. In the context of mobile internet vocational education, the instructor is more concerned with the accurate identification and statistics of effective fragment learning time. The traditional internet education only supports online education, and in the aspect of on-line education time calculation, the teaching party basically accumulates the learning duration of teaching material resources such as online videos and documents of students, so that whether the learning degree of the students meets the corresponding time index is judged, and corresponding course credits are given.
The current internet education has the following disadvantages: 1. identification imprecision: in a traditional online education scheme, a teacher generally only records the learning time in an online environment, neglects the learning time in an offline environment, cannot accurately identify jump type selective learning time and repetitive learning time, screens out effective learning time of multi-terminal co-learning, and even has no policy on illegal messy behavior such as hanging brushing learning time, substituting human learning and the like, wastes precious learning time of a student, and frustrates the learning enthusiasm of the student, so that the accurate identification and recording of the effective learning time in the learning process of the student becomes a key link for guaranteeing the teaching service quality of the teacher; 2. the statistics are not comprehensive: in the traditional online education scheme, a teacher usually only counts the learning duration of students of teaching material resources such as online videos and documents, and from the overall view point of teaching activities, the teacher just ignores the diligent payment of the students in the learning behaviors such as discussion participation, question answering practice, note reading and the like, so that the establishment of a comprehensive, objective and effective multivariate learning time identification and statistics method is prominent and important.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method can effectively and truly manage and count the learning behavior of the student, which is learned through the learning terminal, not only can perform learning statistics in an off-line state, but also can prevent the phenomena of hanging and brushing and replacing learning, can count the student in a multi-learning mode of simultaneously performing videos and documents or practicing, and can filter out repeated learning phenomena, so that the statistics of the learning time is more comprehensive and accurate, and the enthusiasm of the student in network education is improved.
In order to solve the technical problems, the invention adopts the technical scheme that:
a time-learning management method based on network education comprises the following steps:
presetting a time interval in the learning terminal;
the learning terminal detects whether the student is in a learning state or not at intervals of a time interval;
if the learning terminal detects that the student is in a learning state, starting a camera to obtain a video or a photo in front of the learning terminal;
judging whether a student is in front of the current learning terminal or not according to the acquired video or photo;
if a student is in front of the learning terminal, the learning terminal records current learning information, wherein the learning information comprises student identification, learning resource identification and current time.
The invention has the beneficial effects that: the statistics of the learning information of the student is only carried out on the learning terminal, and the learning information of the student can be counted no matter the learning terminal is in an online state or an offline state; when the learning terminal is in a learning state, the personal identification of the student and the recording of the learning information are carried out, and the method is reasonable; when the learning terminal is in a learning state, judging whether a student is positioned in front of the learning terminal, if the student is not positioned in front of the learning terminal, indicating that a brush hanging phenomenon occurs, and if someone is positioned in front of the learning terminal but not the student, indicating that a learning replacement phenomenon occurs, at the moment, recording of learning information is not performed, the method is reasonable, and the brush hanging and the learning replacement phenomena are prevented; and whether the student is the student or not and statistics of the learning information are carried out once at intervals of a time interval, so that the phenomena of hanging and brushing and learning replacement are effectively prevented, the learning information of the student is accurate and effective, and the interest of the student in internet learning is improved.
Drawings
FIG. 1 is a flowchart of a method for learning hour management based on network education according to an embodiment of the present invention;
FIG. 2 is a flowchart of a learning management method based on network education according to a second embodiment of the present invention;
fig. 3 is a flowchart of steps executed in a server in the learning management method based on network education according to the second embodiment of the present invention.
Detailed Description
In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
The most key concept of the invention is as follows: whether the learning terminal is in a learning state or not and whether the learning terminal is a student or not are identified at intervals of a time interval, learning information is counted, the learning can be completed in an off-line state or an on-line state, and the phenomena of hanging and brushing and learning replacement can be prevented.
Referring to fig. 1 to 3, the present invention provides a method for learning time management based on network education, the method comprising:
presetting a time interval in the learning terminal;
the learning terminal detects whether the student is in a learning state or not at intervals of a time interval;
if the learning terminal detects that the student is in a learning state, starting a camera to obtain a video or a photo in front of the learning terminal;
judging whether a student is in front of the current learning terminal or not according to the acquired video or photo;
if a student is in front of the learning terminal, the learning terminal records current learning information, wherein the learning information comprises student identification, learning resource identification and current time.
Furthermore, the learning terminal can be any one of a smart phone, a tablet computer, a notebook computer and a desktop computer.
Further, the method further comprises:
the learning terminal calculates the whole learning information on the learning terminal according to the time interval and the recorded learning information, wherein the whole learning information comprises a student identifier, a resource identifier, a learning starting time, a learning ending time and a learning duration;
and the learning terminal stores the whole learning information.
According to the above description, according to the time interval and the learning information, the learning start time, the learning end time and the learning duration corresponding to the resource identifier learned by the student can be calculated, one of the standards for network education assessment is learning time, the resource identifier corresponds to learning course information, the learning time of a course is related to the learning duration corresponding to the resource identifier, the course can correspond to the superposition of the learning time of one or more resource identifiers, and can also correspond to the superposition of the learning time of one or more resource identifiers after the weight is added, so that the whole learning information corresponding to the resource identifier is calculated and stored, and the calculation and statistics of subsequent data are facilitated.
Further, the method further comprises:
the learning terminal judges whether the learning terminal is in an off-line state or an on-line state at present;
if the learning terminal is in an online state, the learning terminal sends the whole learning information to a server;
and the server receives the whole learning information sent by the learning terminal.
According to the above description, the learning terminal judges whether the learning terminal is in an off-line state or an on-line state, and when the learning terminal is in the on-line state, the whole learning information which is not sent is sent to the server, so that management and statistics in the server are facilitated.
Further, the method further comprises:
the learning terminal encrypts the whole learning information and sends the information to a server;
the server receives encrypted whole learning information sent by the learning terminal;
the server decrypts the received learning ensemble information.
According to the above description, a certain transmission protocol is set between the learning terminal and the server, the learning whole information on the learning terminal is encrypted and then sent to the server, and the server receives the encrypted learning whole information and then decrypts the information. Malicious attack can be prevented, and the transmitted information is safe and reliable.
Further, the method further comprises:
one account can log in on a plurality of learning terminals at the same time.
According to the description, one account can log in on a plurality of learning terminals at the same time, learning materials corresponding to one course can be videos, documents, practice problems and the like, and if one account can log in on a plurality of learning terminals at the same time, synchronous learning of various materials on different learning terminals is facilitated.
Further, the method further comprises:
the server receives whole learning information sent by a plurality of learning terminals corresponding to one account in the same time period;
the server judges whether the resource identifiers on the plurality of learning terminals corresponding to the account are the same;
if the resource identifications on the plurality of learning terminals corresponding to the account are the same, the repeated learning phenomenon is judged, and the server selects the whole learning information on one learning terminal as the whole learning information corresponding to the resource identification.
As can be seen from the above description, if an account logs in a plurality of learning terminals in the same time period and resource identifiers corresponding to the whole learning information sent by the learning terminals are the same, it indicates that the same contents are played on the plurality of learning terminals and a repeated learning phenomenon occurs, and the server selects the whole learning information on one of the learning terminals as the whole learning information corresponding to the resource identifier, so as to implement accurate statistics on the learning duration of the resource identifier and avoid calculating more learning durations.
Further, the method further comprises:
the server judges whether the resource identifiers on the plurality of learning terminals corresponding to the account are associated or not;
and if the resource identifiers on the plurality of learning terminals corresponding to the account are associated, weighting and superposing the learning duration corresponding to each associated resource identifier to obtain the total learning duration of the course corresponding to the associated resource identifier.
From the above description, if a plurality of resource identifiers correspond to the same course and belong to associated resource identifiers, such as videos, lectures, books and practice problems belonging to the same course, the learning durations corresponding to the resource identifiers are weighted respectively and then are superposed to obtain the total learning of the course, the method is reasonable, and the difference of the functions of various data in the learning process is fully considered.
Further, the method further comprises:
the server judges whether the resource identifiers on the plurality of learning terminals corresponding to the account are mutually exclusive or not;
and if the resource identifiers on the plurality of learning terminals corresponding to the account are mutually exclusive, marking the whole learning information on the learning terminals corresponding to the mutually exclusive resource identifiers as invalid.
It can be known from the above description that the server determines whether the resource identifiers on the multiple learning terminals received in the same time period are mutually exclusive, and if the mutual exclusion indicates that the student learns the corresponding data of different courses in the same time period, which is equivalent to one-heart-multiple use, the learning efficiency of each data is low, so that the learning behavior is determined to be invalid, and the hanging and brushing are further prevented.
Further, the method further comprises:
and if the learning integral information received by the server is the same as the resource identifier in the previously received learning integral information in the server and the learning time length corresponding to the resource identifier is reached, judging that the learning phenomenon is repeated and marking the received learning integral information as invalid.
As can be seen from the above description, if the resource identifier in the current learning whole information received by the server has been received before and the learning duration corresponding to the resource identifier has been reached, it indicates that the learner is in the review stage at this time, and the phenomenon of repeated learning is also present, at this time, the currently received learning whole information is marked as invalid, so as to avoid the situation that the learning duration is repeatedly recorded by a single resource identifier.
Further, the method further comprises:
and if the learning terminal receives the jumping type learning resource selection behavior, the learning terminal stops counting the learning information corresponding to the learning resource.
It can be known from the above description that the learning resources are learning materials, each learning resource corresponds to a resource identifier, in network education, if comprehensive learning is to be achieved, the materials corresponding to each resource identifier need to be browsed or read completely, if a jump-type selective learning resource browsing behavior occurs, it indicates that the learner does not learn completely on the materials, statistics on the learning information corresponding to the learning resources is stopped immediately, and learning on the learning resources is invalid.
Referring to fig. 1, a first embodiment of the present invention is:
a time-learning management method based on network education comprises the following steps:
presetting a time interval in the learning terminal;
the learning terminal detects whether the student is in a learning state or not at intervals of a time interval;
if the learning terminal detects that the student is in a learning state, starting a camera to obtain a video or a photo in front of the learning terminal;
judging whether a student is in front of the current learning terminal or not according to the acquired video or photo;
if a student is in front of the learning terminal, the learning terminal records current learning information, wherein the learning information comprises student identification, learning resource identification and current time.
Referring to fig. 2, the second embodiment of the present invention is:
a method for time-of-study management based on network education, which, on the basis of the first embodiment, further comprises:
1. the learning terminal calculates the whole learning information on the learning terminal according to the time interval and the recorded learning information, wherein the whole learning information comprises a student identifier, a resource identifier, a learning starting time, a learning ending time and a learning duration;
and the learning terminal stores the whole learning information.
2. The learning terminal judges whether the learning terminal is in an off-line state or an on-line state at present;
if the learning terminal is in an online state, the learning terminal sends the whole learning information to a server;
and the server receives the whole learning information sent by the learning terminal.
3. Preferably, the learning terminal encrypts the whole learning information and sends the information to the server;
the server receives encrypted whole learning information sent by the learning terminal;
the server decrypts the received learning ensemble information.
Referring to fig. 3, a third embodiment of the present invention is:
a method for time-of-study management based on network education, which, on the basis of the second embodiment, further comprises:
one account can log in on a plurality of learning terminals at the same time.
4. The server receives whole learning information sent by a plurality of learning terminals corresponding to one account in the same time period;
the server judges whether the resource identifiers on the plurality of learning terminals corresponding to the account are the same;
if the resource identifications on the plurality of learning terminals corresponding to the account are the same, the repeated learning phenomenon is judged, and the server selects the whole learning information on one learning terminal as the whole learning information corresponding to the resource identification.
5. The server judges whether the resource identifiers on the plurality of learning terminals corresponding to the account are associated or not;
and if the resource identifiers on the plurality of learning terminals corresponding to the account are associated, weighting and superposing the learning duration corresponding to each associated resource identifier to obtain the total learning duration of the course corresponding to the associated resource identifier.
6. The server judges whether the resource identifiers on the plurality of learning terminals corresponding to the account are mutually exclusive or not;
and if the resource identifiers on the plurality of learning terminals corresponding to the account are mutually exclusive, marking the whole learning information on the learning terminals corresponding to the mutually exclusive resource identifiers as invalid.
Referring to fig. 1, a fourth embodiment of the present invention is:
a method for time-of-study management based on network education, which, on the basis of the first embodiment, further comprises:
7. and if the learning integral information received by the server is the same as the resource identifier in the previously received learning integral information in the server and the learning time length corresponding to the resource identifier is reached, judging that the learning phenomenon is repeated and marking the received learning integral information as invalid.
Referring to fig. 1, a fifth embodiment of the present invention is:
a method for time-of-study management based on network education, which, on the basis of the first embodiment, further comprises:
8. and if the learning terminal receives the jumping type learning resource selection behavior, the learning terminal stops counting the learning information corresponding to the learning resource.
Referring to fig. 1 to fig. 3, a sixth embodiment of the present invention is:
a learning terminal is a mobile phone, an APP related to network education is installed on the mobile phone, and the method for the learning management of the network education through the APP on the mobile phone comprises the following steps:
firstly, presetting a time interval of two minutes in a mobile phone;
the mobile phone detects whether the student is in a learning state or not at an interval of two minutes;
if the mobile phone detects that the student is in a learning state, starting a camera to acquire a video or a photo in front of the mobile phone;
judging whether a student is in front of the current mobile phone or not according to the acquired video or photo;
if a student himself is in front of the mobile phone, the learning terminal records current learning information, wherein the learning information comprises student identification, learning resource identification and current time;
the mobile phone calculates the whole learning information on the mobile phone according to the time interval and the recorded learning information, wherein the whole learning information comprises a student identifier, a resource identifier, a learning starting time, a learning ending time and a learning duration;
the mobile phone stores the whole learning information;
the mobile phone judges whether the mobile phone is in an off-line state or an on-line state at present;
if the mobile phone is in an online state, the mobile phone encrypts the whole learning information and sends the information to a server;
the server receives encrypted learning integral information sent by the mobile phone;
the server decrypts the received learning ensemble information.
Supposing that the student needs to learn the math course, on the APP, the student can watch the contents of the math textbook, the math lecture video and the math exercise problem, and certainly, with the help of a mobile phone, the student can only learn one kind of data at the same time.
If the user watches the mathematical education video, if the mobile phone receives the jumping learning resource selection behavior, the mobile phone stops counting the learning information corresponding to the learning resource of the mathematical education video, which indicates that the student does not watch the mathematical education video completely.
Second, certainly, the student can log in different learning terminals by using the same account at the same time, for example, the student logs in a mobile phone and a tablet computer by using the same account, the student watches a math teaching video on the mobile phone, and watches the contents in the math textbook on the tablet computer;
the server receives the whole learning information sent by the mobile phone and the tablet computer corresponding to the same account in the same time period, the mobile phone sends the whole learning information about the learning mathematics lecture video, and the tablet computer sends the whole learning information about the learning mathematics textbook;
the server judges whether the resource identifiers on the mobile phone and the tablet computer corresponding to the account are the same or not; if the resource identifiers are the same, the repeated learning phenomenon is generated, and obviously, the resource identifiers on the mobile phone and the tablet computer are different at the moment, and the next execution is continued;
the server judges whether the resource identifications on the multiple mobile phones corresponding to the account are associated or not; at the moment, the mathematic lecture video on the mobile phone and the mathematic textbook on the tablet personal computer belong to mathematic courses and associated learning resources, and then the learning duration corresponding to each associated resource identifier is weighted and then superposed to obtain the total learning time of the courses corresponding to the associated resource identifier;
for example, if the weight of the learning math lecture video is set to 0.7 and the weight of the learning math text is set to 0.3, the total learning time of the math lesson is 0.7 × the learning time of the learning math lecture video +0.3 × the learning time of the learning math text;
if the student still watches the mathematical lecture, the weight for learning the mathematical lecture is set to be 0.1, and the total learning time of the mathematical course is 0.7 times of the learning time of the learning mathematical lecture video +0.3 times of the learning time of the learning mathematical textbook +0.1 times of the learning time of the learning mathematical lecture;
if the resource identifiers on the mobile phone and the tablet computer are judged to be associated at the moment, whether the resource identifiers on the mobile phone and the tablet computer are mutually exclusive does not need to be judged;
if the resource identifiers on the mobile phone and the tablet computer are different and not related, continuing to judge downwards;
the server judges whether the resource identifiers on the multiple mobile phones corresponding to the account are mutually exclusive or not;
if the resource identifiers on the mobile phones corresponding to the account are mutually exclusive, the fact that the student is in a one-heart-multi-purpose state at the moment is shown, the learning efficiency is low, the whole learning information on the mobile phones corresponding to the mutually exclusive resource identifiers is marked as invalid, and the learning time length of the student is not recorded.
In summary, in the learning time management method based on network education provided by the present invention, the learning terminal can record the learning information of the learner regardless of the online state or the offline state, the learning terminal records the learning information corresponding to each resource identifier, and counts the learning whole information corresponding to each resource identifier, the learning terminal can prevent the phenomena of hanging, replacing and selective learning, the server manages and counts the learning whole information sent by the learning terminal, the calculation of the learning time corresponding to each course is finally calculated, the calculation of the learning time corresponding to each course needs to be related to the weights of various resource identifiers, the server can also identify the repeated learning phenomenon, so that the statistics of the course learning condition of network education is more in line with the practical situation, and the phenomena of hanging, replacing, selective learning and repeated learning are effectively prevented, the statistical accuracy of the network education is high, so that the enthusiasm of the students for the network education can be improved.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.
Claims (8)
1. A time-learning management method based on network education is characterized by comprising the following steps:
presetting a time interval in the learning terminal;
the learning terminal detects whether the student is in a learning state or not at intervals of a time interval;
if the learning terminal detects that the student is in a learning state, starting a camera to obtain a video or a photo in front of the learning terminal;
judging whether a student is in front of the current learning terminal or not according to the acquired video or photo;
if a student himself is in front of the learning terminal, the learning terminal records current learning information, wherein the learning information comprises student identification, learning resource identification and current time;
the learning terminal calculates the whole learning information on the learning terminal according to the time interval and the recorded learning information, wherein the whole learning information comprises a student identifier, a resource identifier, a learning starting time, a learning ending time and a learning duration;
the learning terminal sends the whole learning information to a server;
one account can log in a plurality of learning terminals at the same time;
the server receives whole learning information sent by a plurality of learning terminals corresponding to one account in the same time period;
the server judges whether the resource identifiers on the plurality of learning terminals corresponding to the account are mutually exclusive or not;
and if the resource identifiers on the plurality of learning terminals corresponding to the account are mutually exclusive, marking the whole learning information on the learning terminals corresponding to the mutually exclusive resource identifiers as invalid.
2. The time-of-study management method based on network education as claimed in claim 1, wherein the method further comprises:
and the learning terminal stores the whole learning information.
3. The learning-hour management method based on network education as claimed in claim 2, wherein the learning terminal sends the whole learning information to the server specifically as follows:
the learning terminal judges whether the learning terminal is in an off-line state or an on-line state at present;
if the learning terminal is in an online state, the learning terminal sends the whole learning information to a server;
and the server receives the whole learning information sent by the learning terminal.
4. The time-of-study management method based on network education as claimed in claim 3, wherein the method further comprises:
the learning terminal encrypts the whole learning information and sends the information to a server;
the server receives encrypted whole learning information sent by the learning terminal;
the server decrypts the received learning ensemble information.
5. The time-of-study management method based on network education as claimed in claim 1, wherein the method further comprises:
the server judges whether the resource identifiers on the plurality of learning terminals corresponding to the account are the same;
if the resource identifications on the plurality of learning terminals corresponding to the account are the same, the repeated learning phenomenon is judged, and the server selects the whole learning information on one learning terminal as the whole learning information corresponding to the resource identification.
6. The time-of-study management method based on network education as claimed in claim 1, wherein the method further comprises:
the server judges whether the resource identifiers on the plurality of learning terminals corresponding to the account are associated or not;
and if the resource identifiers on the plurality of learning terminals corresponding to the account are associated, weighting and superposing the learning duration corresponding to each associated resource identifier to obtain the total learning duration of the course corresponding to the associated resource identifier.
7. The time-of-study management method based on network education as claimed in claim 1, wherein the method further comprises:
and if the learning integral information received by the server is the same as the resource identifier in the previously received learning integral information in the server and the learning time length corresponding to the resource identifier is reached, judging that the learning phenomenon is repeated and marking the received learning integral information as invalid.
8. The time-of-study management method based on network education as claimed in claim 1, wherein the method further comprises:
and if the learning terminal receives the jumping type learning resource selection behavior, the learning terminal stops counting the learning information corresponding to the learning resource.
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| CN108038587A (en) * | 2017-11-15 | 2018-05-15 | 平安科技（深圳）有限公司 | Train class hour computational methods, application server and computer-readable recording medium |
| CN109934747A (en) * | 2019-03-18 | 2019-06-25 | 重庆替比网络科技有限公司 | A kind of record for vocational training, archives supervisory systems |
| CN111524130A (en) * | 2020-04-30 | 2020-08-11 | 尚杰 | Online class hour long-distance processing method and device |
| CN113592466B (en) * | 2021-10-08 | 2022-02-08 | 江西科技学院 | Student attendance checking method and system for remote online teaching |
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