WO2019033417A1 - Procédé et dispositif de rappel automatique d'état d'apprentissage d'utilisateur, serveur et support de stockage - Google Patents

Procédé et dispositif de rappel automatique d'état d'apprentissage d'utilisateur, serveur et support de stockage Download PDF

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Publication number
WO2019033417A1
WO2019033417A1 PCT/CN2017/098128 CN2017098128W WO2019033417A1 WO 2019033417 A1 WO2019033417 A1 WO 2019033417A1 CN 2017098128 W CN2017098128 W CN 2017098128W WO 2019033417 A1 WO2019033417 A1 WO 2019033417A1
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WIPO (PCT)
Prior art keywords
learning
user
subject
subjects
score
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PCT/CN2017/098128
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English (en)
Chinese (zh)
Inventor
韩荣华
王雁
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深圳市华第时代科技有限公司
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Priority to PCT/CN2017/098128 priority Critical patent/WO2019033417A1/fr
Publication of WO2019033417A1 publication Critical patent/WO2019033417A1/fr

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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—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

Definitions

  • the invention belongs to the field of online teaching technology, and particularly relates to an automatic reminding method, device, server and storage medium for user learning state.
  • the education field has also been increasingly influenced by online and distance education, and teaching has moved from offline classrooms to online.
  • Students can choose course assignments and submit assignments online, and teachers can also arrange assignments online to directly annotate the assignments submitted by the students. Teachers and students can also communicate instantly in the system through short messages.
  • the teacher's ratings and comments students can also directly view, easy to urge students to better correct the deficiencies in the next stage, improve the writing level of the paper, thus breaking the time and space barriers of educational activities.
  • the existing online teaching system can simply display the completion of the homework or the grade of the course to the students or teachers, and cannot accurately and accurately reflect the learning state of the students at a specific stage, thereby reducing the usability of the existing online teaching system.
  • An object of the present invention is to provide an automatic reminding method, device, server and storage medium for a user learning state, which aims to solve the problem that the existing online teaching system cannot promptly and accurately remind the user of a specific stage of learning state and poor usability. .
  • the present invention provides an automatic reminding method for a user learning state, the method comprising:
  • the present invention provides an automatic reminder device for a user learning state, the device comprising:
  • An event monitoring unit configured to monitor a learning state push trigger event associated with the user
  • a performance obtaining unit configured to acquire, when the learning state push triggering event is detected, a learning task item of the user in a preset time period, and obtain a performance of the user in the learning task item;
  • a state evaluation unit configured to evaluate a learning state of the user according to the obtained performance of the user in the learning task item, to obtain a current learning state of the user
  • a status pushing unit configured to push the current learning state of the user to an associated party associated with the learning state push trigger event.
  • the present invention also provides a server comprising a memory, a processor, and a computer program stored in the memory and operable on the processor, the processor executing the computer program as The steps of the method described above.
  • the present invention also provides a computer readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method as previously described.
  • the invention monitors the learning state push trigger event associated with the user, and when the learning state push trigger event is detected, acquires the learning task item of the user within the preset time period, and obtains the performance of the user in the learning task item, according to the obtained user.
  • the learning state of the user is evaluated, the current learning state of the user is obtained, and the current learning state of the user is pushed to the related party associated with the learning state pushing trigger event, so that when the learning state push trigger event is detected
  • the current accurate learning state of the user is promptly pushed to the related party, so that the related party can accurately and timely understand the learning state of the user, and urge the user to make targeted improvement or improvement, thereby improving the usability of the online teaching system.
  • FIG. 1 is a flowchart of implementing an automatic reminding method for a user learning state according to Embodiment 1 of the present invention
  • FIG. 2 is a flowchart of implementing an automatic reminding method for a user learning state according to Embodiment 2 of the present invention
  • FIG. 3 is a flowchart of implementing an automatic reminding method for a user learning state according to Embodiment 3 of the present invention
  • FIG. 4 is a schematic structural diagram of an automatic reminding device for a user learning state according to Embodiment 4 of the present invention.
  • FIG. 5 is a schematic structural diagram of an automatic reminding device for a user learning state according to Embodiment 4 of the present invention.
  • FIG. 6 is a schematic structural diagram of an automatic reminding device for a user learning state according to Embodiment 4 of the present invention.
  • FIG. 7 is a schematic structural diagram of a server according to Embodiment 5 of the present invention.
  • Embodiment 1 is a diagrammatic representation of Embodiment 1:
  • FIG. 1 is a flowchart showing an implementation process of an automatic reminding method for a user learning state according to Embodiment 1 of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown, which are described in detail as follows:
  • step S101 a learning state push trigger event associated with the user is monitored.
  • the embodiments of the present invention are applicable to an online education system, and specifically, to a push server in an online education system.
  • the learning state push trigger event is an event that triggers pushing the user's learning state to the push object.
  • the trigger event may be a learning state push request input by the user or a third party (for example, a user teacher or a parent) associated with the user, or may be an arrival.
  • the preset learning state push time period reaches the preset job delivery times and the like.
  • step S102 when the learning state push triggering event is detected, the learning task item of the user in the preset time period is acquired, and the performance of the user in the learning task item is obtained.
  • the learning task item of the user may be a learning course, a subject, or a participating training item of the user
  • the performance of the user in the learning task item may be information such as teacher feedback information, homework score, test score, and the like.
  • the user's learning course is acquired within the three-month or half-year period, and information such as the homework completion status and the test situation of the learning course is obtained.
  • the completion of the operation of the user in the course is obtained as the performance of the user in the learning task item.
  • step S103 the learned state of the user is evaluated according to the acquired performance of the learning task item, and the current learning state of the user is obtained.
  • the learning state of the user is evaluated in a preset manner to obtain the current learning state of the user.
  • the user's performance in the learning task item may be classified according to a user's teacher's feedback or job situation on the learning task item (eg, a certain course learning), using a pre-trained classification model.
  • the classification label can be excellent, excellent, qualified, and the like.
  • the average score of each course in the preset time period can be calculated directly according to the test scores of each course of the user, and the average score of each course is set as the learning state of the user in each course.
  • the learning state may further include a state of the user's current learning enthusiasm and the like.
  • the learning state of the user such as being active, diligent, and slack may be determined according to information such as the completion time of the learning task item.
  • step S104 the current learning state of the user is pushed to the related party associated with the learning state push trigger event.
  • the related party associated with the learning state push trigger event may be a user requesting to push the learning state, a teacher of the user, and/or a parent of the user, and after the current learning state of the user is obtained, the user is pushed to the related parties.
  • the current learning state so as to timely push the current accurate learning state of the user to the related party when the learning state push triggering event is monitored, so that the related party can timely understand the learning state of the user, and urge the user to make targeted improvement or improvement and improve Availability of online teaching systems.
  • Embodiment 2 is a diagrammatic representation of Embodiment 1:
  • FIG. 2 is a flowchart showing an implementation process of an automatic reminding method for a user learning state according to Embodiment 2 of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown, which are as follows:
  • step S201 a learning state push trigger event associated with the user is monitored.
  • the embodiments of the present invention are applicable to an online education system, and specifically, to a push server in an online education system.
  • the learning state push trigger event is an event that triggers pushing the user's learning state to the push object.
  • the trigger event may be a learning state push request input by the user or a third party (for example, a user teacher or a parent) associated with the user, or may be an arrival.
  • the preset learning state push time period for example, half a year, one academic year.
  • step S202 the learning subject learned by the user in the preset time period is acquired, and the number of jobs submitted by the user on each learning subject in the preset time period and the corresponding accuracy rate are obtained.
  • step S203 based on the number of jobs submitted on each learning subject and the corresponding accuracy rate, the average work score of each learning subject of the user in the preset time period is calculated.
  • the average work score of each study subject is used as an indicator of the current learning state.
  • the number of jobs submitted by the user on each learning subject in a preset time period and the corresponding accuracy rate are obtained, and the predicted formula is calculated according to the number of jobs submitted on each learning subject and the corresponding accuracy rate.
  • the average grade of the job for each study subject during the preset time period is used as an indicator of the current learning state.
  • step S204 the average work score of all the learning subjects is calculated according to the number of jobs submitted on each learning subject and the corresponding accuracy rate.
  • step S205 a learning subject whose average work score in each study subject is greater than the average score of all the study subject assignments is obtained, and is recorded as the first study subject.
  • step S206 a learning subject in which the average work score of each study subject is not greater than the average score of all the study subject assignments is obtained, and is recorded as the second study subject.
  • the average work grade of all the study subjects is calculated according to the number of jobs submitted by the user on all the study subjects and the corresponding accuracy rate, and the average work grade of each study subject is obtained.
  • a study subject that is greater than the average grade of all subjects in the study subject is recorded as the first study subject, and the study subject whose average grade of the assignment in each study subject is not greater than the average score of all the subjects of the study subject is recorded as the second study subject.
  • the first study subject is a subject whose average score of the user's homework is greater than the average score of all the subjects studied by the user
  • the second subject is a subject whose average score of the user's homework is not greater than the average score of all the subjects studied by the user.
  • step S207 the first learning subject, the second learning subject, and the score corresponding to each subject are pushed to the user to remind the user of the learning situation of the current learning subject.
  • the average grade of the work of each subject of the user is used as the current learning state of the user, which can effectively reflect the learning situation of the user within the preset time period, and timely pass through the user terminal when the preset time period is reached.
  • Users push themselves, which improves the usefulness of push, so that users can know their current strengths or shortcomings in time and strengthen targeted training.
  • the first and second study subjects are used to mark or call each subject, thereby clearly reminding the user that they are Which subjects have better learning status and which subjects have poorer learning status to remind users to conduct targeted learning.
  • the first learning subject, the second learning subject, and the score corresponding to each subject are further pushed to the parent or the teacher of the user, so as to remind the parent or the teacher of the learning situation of the current learning subject, thereby improving the effectiveness of the reminder, and further Improve the usability of online teaching systems.
  • Embodiment 3 is a diagrammatic representation of Embodiment 3
  • FIG. 3 is a flowchart showing an implementation process of an automatic reminding method for a user learning state according to Embodiment 3 of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown, which are described in detail as follows:
  • step S301 a learning state push trigger event associated with the user is monitored.
  • the embodiments of the present invention are applicable to an online education system, and specifically, to a push server in an online education system.
  • the learning state push trigger event is an event that triggers pushing the user's learning state to the push object.
  • the trigger event may be a learning state push request input by the user or a third party (for example, a user teacher or a parent) associated with the user, or may be an arrival.
  • the preset learning state push time period for example, half a year, one academic year.
  • step S302 the learning subject learned by the user in the preset time period is acquired, and the test score of each learning subject in the preset time period is obtained.
  • the test score of each study subject is taken as an indicator of the current learning state.
  • the test score of the study subject is the score of the test.
  • the subject of the study is The test score is the average score of multiple exams.
  • step S303 the average test scores of all the study subjects are calculated according to the test scores of each study subject.
  • step S304 a learning subject in which each test subject has an test score greater than the average score of all the test subjects is obtained, and is recorded as a third study subject.
  • step S305 a learning subject in which the test score in each study subject is not greater than the average score of all the study subject exams is obtained, and is recorded as the fourth study subject.
  • the test average scores of all the study subjects are further calculated according to the test scores of the user in all the study subjects, and the test scores in each study subject are greater than the average scores of all the study subjects.
  • Study subjects recorded as the third study subject, and obtain the study subjects whose test scores in each study subject is not greater than the average score of all the study subjects, and record it as the fourth study subject. That is to say, the third study subjects are subjects whose test scores are larger than the test average scores of all the subjects studied by the user, and the fourth study subjects are subjects whose test scores are not greater than the test average scores of all the subjects studied by the user. .
  • step S306 the third learning subject, the fourth learning subject, and the score corresponding to each subject are pushed to the user to remind the user of the current learning situation of the subject.
  • the test scores of each subject of the user are taken as the current learning state of the user, which can effectively reflect the learning situation of the user within the preset time period, and promptly pass the user terminal to the user when the preset time period is reached. Pushing yourself increases the usefulness of the push, so that users can understand their current strengths or shortcomings in a timely manner and strengthen targeted training.
  • the third and fourth study subjects when pushing to the user, according to whether the test score of each subject is higher than the average score of all subjects, use the third and fourth study subjects to mark or call each subject, so as to clearly remind the user to Which subjects have better learning status and which subjects have poorer learning status to remind users to conduct targeted learning.
  • the third learning subject, the fourth learning subject, and the score corresponding to each subject are further pushed to the parent or teacher of the user to remind the parent or the teacher of the learning situation of the current learning subject, to remind the parent or teacher of the current current Learning the learning of the subject, thereby increasing the effectiveness of the reminder, thereby improving the usability of the online teaching system.
  • Embodiment 4 is a diagrammatic representation of Embodiment 4:
  • FIG. 4 is a diagram showing the structure of an automatic reminding device for a user learning state according to Embodiment 4 of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown, including:
  • the event monitoring unit 41 is configured to monitor a learning state push trigger event associated with the user
  • the performance obtaining unit 42 is configured to: when the learning state push triggering event is detected, acquire the learning task item of the user in the preset time period, and obtain the performance of the user in the learning task item;
  • the state evaluation unit 43 is configured to evaluate the learning state of the user according to the obtained performance of the learning task item by the user, and obtain the current learning state of the user;
  • the status pushing unit 44 is configured to push the current learning state of the user to the related party associated with the learning state push trigger event.
  • the performance obtaining unit 42 includes:
  • the job statistics unit 421 is configured to acquire a learning subject learned by the user within a preset time period, and obtain the number of jobs submitted by the user on each learning subject within a preset time period and the corresponding accuracy rate;
  • the status evaluation unit 43 includes:
  • the job achievement calculation unit 431 is configured to calculate, according to the number of jobs submitted on each learning subject and the corresponding accuracy rate, an average job score of each learning subject in the preset time period;
  • the average score calculation unit 432 is configured to calculate an average grade of the work of all the learning subjects according to the number of jobs submitted on each learning subject and the corresponding accuracy rate;
  • the first subject obtaining unit 433 is configured to acquire a learning subject whose average job score in each learning subject is greater than the average score of all the learning subject operations, and record the first learning subject;
  • the second subject acquisition unit 434 is configured to obtain a learning subject whose average grade of the work in each of the learning subjects is not greater than the average score of all the subjects of the study subjects, and is recorded as the second study subject;
  • the status push unit 44 includes:
  • the first pushing unit 441 is configured to push the first learning subject, the second learning subject, and the score corresponding to each subject to the user to remind the user of the learning situation of the current learning subject.
  • state pushing unit 44 further includes:
  • the second pushing unit 442 is configured to push the first learning subject, the second learning subject, and the score corresponding to each subject to the parent or teacher of the user, to remind the parent or the teacher of the learning situation of the current learning subject.
  • the performance obtaining unit 42 includes:
  • the test result obtaining unit 422 is configured to acquire a learning subject learned by the user within a preset time period, and obtain test scores of each learning subject in the preset time period;
  • the state evaluation unit 43 includes:
  • the test average score calculation unit 435 is configured to calculate an average test score of all the study subjects according to the test scores of each study subject;
  • the third subject acquisition unit 436 is configured to obtain a study subject whose test score in each study subject is greater than the average score of all the test subjects, and record it as a third study subject;
  • the fourth subject acquisition unit 437 is configured to obtain a learning subject in each of the learning subjects whose test score is not greater than the average score of all the test subjects, and is recorded as the fourth study subject;
  • the status push unit 44 includes:
  • the third pushing unit 443 is configured to push the third learning subject, the fourth learning subject, and the score corresponding to each subject to the user to remind the user of the learning situation of the current learning subject.
  • state pushing unit 44 further includes:
  • the fourth pushing unit 444 is configured to push the third learning subject, the fourth learning subject, and the score corresponding to each subject to the parent or teacher of the user, to remind the parent or the teacher of the learning situation of the current learning subject.
  • each unit of the automatic reminding device of the user learning state may be implemented by a corresponding hardware or software unit, and each unit may be an independent software and hardware unit, or may be integrated into a soft and hardware unit.
  • each unit may be implemented by a corresponding hardware or software unit, and each unit may be an independent software and hardware unit, or may be integrated into a soft and hardware unit.
  • Embodiment 5 is a diagrammatic representation of Embodiment 5:
  • FIG. 7 shows the structure of a server provided in Embodiment 5 of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown.
  • the server 7 of an embodiment of the present invention includes a processor 70, a memory 71, and a computer program 72 stored in the memory 71 and operable on the processor 70.
  • processor 70 when executing computer program 72, implements the functions of the various units of the various apparatus embodiments described above, such as the functions of units 41 through 44 shown in FIG.
  • the processor 70 in the embodiment of the present invention monitors the learning state push trigger event associated with the user when the computer program 72 is executed, and acquires the learning task item of the user within the preset time period when the learning state push trigger event is detected. Obtaining the performance of the user in the learning task item, and evaluating the learning state of the user according to the obtained performance of the learning task item, obtaining the current learning state of the user, and pushing the current user to the related party associated with the learning state pushing trigger event Learning state, so as to timely push the current accurate learning state to the related parties when monitoring the learning state push triggering event, so that the related party can timely understand the user's learning state, urge the user to make targeted improvement or improvement, and improve the online teaching system. Availability.
  • a computer readable storage medium storing a computer program, the computer program being executed by a processor to implement the steps in the embodiment of the automatic reminding method, for example, Steps S101 to S104 shown in Fig. 1 or steps S201 to S207 shown in Fig. 2 .
  • the computer program when executed by the processor, implements the functions of the various units in the various apparatus embodiments described above, such as the functions of units 41 through 44 shown in FIG.
  • the learning state push trigger event associated with the user is monitored, and when the learning state push trigger event is detected, the user's learning task item in the preset time period is acquired.
  • the current learning state so as to timely push the current accurate learning state to the related parties when monitoring the learning state push triggering event, so that the related party can timely understand the user's learning state, urge the user to make targeted improvement or improvement, and improve online teaching.
  • System availability for the implementation of the above-mentioned method, the description of the method in the embodiment of the present invention is not described here.
  • the computer readable storage medium of the embodiments of the present invention may include any entity or device capable of carrying computer program code, a recording medium such as a ROM/RAM, a magnetic disk, an optical disk, a flash memory, or the like.

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Abstract

L'invention concerne un procédé et un dispositif de rappel automatique d'état d'apprentissage d'utilisateur, un serveur et un support de stockage, applicables au domaine technique de l'enseignement en ligne. Le procédé comporte les étapes consistant à: surveiller un événement de déclenchement de distribution sélective d'état d'apprentissage associé à un utilisateur (S101); lorsqu'un événement de déclenchement de distribution sélective d'état d'apprentissage est détecté, obtenir un élément de tâche d'apprentissage de l'utilisateur au cours d'une période prédéfinie, et obtenir des performances de l'utilisateur sur l'élément de tâche d'apprentissage (S102); évaluer l'état d'apprentissage de l'utilisateur d'après les performances obtenues de l'utilisateur sur l'élément de tâche d'apprentissage pour obtenir un état actuel d'apprentissage de l'utilisateur (S103); et distribuer sélectivement l'état actuel d'apprentissage de l'utilisateur à un participant d'association associé à l'événement de déclenchement de distribution sélective d'état d'apprentissage (S104), de telle sorte que l'état actuel d'apprentissage de l'utilisateur puisse être distribué sélectivement au participant d'association à temps lors de la surveillance de l'événement de déclenchement de distribution sélective d'état d'apprentissage de façon à permettre au participant d'association de connaître l'état d'apprentissage de l'utilisateur à temps, d'inciter l'utilisateur à apporter un changement ciblé ou une amélioration et d'améliorer la disponibilité d'un système d'enseignement en ligne.
PCT/CN2017/098128 2017-08-18 2017-08-18 Procédé et dispositif de rappel automatique d'état d'apprentissage d'utilisateur, serveur et support de stockage WO2019033417A1 (fr)

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CN102880992A (zh) * 2012-09-21 2013-01-16 无敌科技(西安)有限公司 针对学生学习的智能推送系统及方法
CN105260964A (zh) * 2015-11-13 2016-01-20 苏州中科知图信息科技有限公司 基于在线学习的学情分析系统及方法

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116681317A (zh) * 2023-03-22 2023-09-01 北京游娱网络科技有限公司 一种基于学习数据的评价报告的生成方法及电子设备

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