WO2017012523A1 - 一种个性化的嵌入式考试装置 - Google Patents

一种个性化的嵌入式考试装置 Download PDF

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Publication number
WO2017012523A1
WO2017012523A1 PCT/CN2016/090263 CN2016090263W WO2017012523A1 WO 2017012523 A1 WO2017012523 A1 WO 2017012523A1 CN 2016090263 W CN2016090263 W CN 2016090263W WO 2017012523 A1 WO2017012523 A1 WO 2017012523A1
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user
knowledge point
test paper
module
server
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PCT/CN2016/090263
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English (en)
French (fr)
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马正方
马也驰
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马正方
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Priority to US15/740,943 priority Critical patent/US20180301049A1/en
Publication of WO2017012523A1 publication Critical patent/WO2017012523A1/zh

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    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00—Electrically-operated educational appliances
    • G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations

Definitions

  • the present invention relates to an examination apparatus, and more particularly to an apparatus for performing a targeted examination in a learning process of a knowledge point structure by a user.
  • knowledge points In online learning, knowledge is often classified. The most basic unit of the entire knowledge system is called knowledge points. For example, in Baidu Encyclopedia, knowledge points are also called terms. There may be logical relationships between multiple knowledge points, such as parallel relationships, inclusion relationships, causal relationships, and so on.
  • Baidu Encyclopedia the user obtains the relevant terms by inputting the search term, Baidu Encyclopedia will display the content of the entry, the editor's information, etc. on the page, in addition, the words associated with the entry will be displayed. Articles, such associated terms are usually found in the content of the term and are provided as a network link. The user enters the entry corresponding to the link by clicking on the link.
  • connection between such terms is a very weak connection, and basically there is no strong logical relationship, because this is only the other term is encountered in the interpretation of the current term to establish a link. If the user needs to learn a certain type of knowledge, it is impossible to learn in a way like Baidu Encyclopedia. Because there is no logical relationship between the terms to be learned, it is impossible to help the user to build a knowledge system.
  • Another way to learn is to make the knowledge points that need to be learned into courseware and send them to the Internet. Users download courseware or learn courseware online. This kind of courseware learning method only copies the traditional classroom learning to the network. It is not the way of thinking about Internet thinking. The learner only passively receives the knowledge points provided on the courseware, instead of actively learning the knowledge points and constructing based on these knowledge points. Knowledge system. On the one hand, this kind of learning system will attack the learners' active learning. On the other hand, this non-global learning method is also difficult to help learners to construct a systematic and complete knowledge structure.
  • the applicant improved the deficiencies of the above traditional learning system and proposed a system based on knowledge point structure learning.
  • the user learns the whole knowledge system based on the structure of knowledge points. And in this system, you can build your own knowledge point structure based on your own understanding.
  • the disadvantage of this learning system is that the user has learned the learning effect of the knowledge point structure. There is no effective test in the process. First, in the long learning process, it is necessary to test the learning effect of the user in stages; secondly, even if the same knowledge point structure is learned, each user has different degrees of mastery and learning progress. How to put forward targeted papers based on this personalized learning situation, so as to achieve efficient and convenient test learning effect, is a technical problem that needs to be solved urgently.
  • the object of the present invention is to solve the above problems, and to provide a personalized embedded examination device, which can personalize the problem for each user's learning situation, and give the most reasonable evaluation of the learning effect, thereby improving the user.
  • the efficiency of learning is to solve the above problems, and to provide a personalized embedded examination device, which can personalize the problem for each user's learning situation, and give the most reasonable evaluation of the learning effect, thereby improving the user. The efficiency of learning.
  • the present invention discloses a personalized embedded examination device, including a server and a network terminal, wherein:
  • Network terminals include:
  • a display module configured to display a test paper on a screen of the network terminal
  • An input module for inputting a content of the answer on the test paper by the user
  • a first transmission module configured to transfer data between the server and the server
  • the terminal processor module is configured to receive test paper information from the server through the first transmission module, display the test paper through the display module, receive the user's answer based on the input module, and transmit the answer to the server through the first transmission module;
  • the server includes:
  • a knowledge point storage module stores each user-specific knowledge point structure, wherein the knowledge point structure includes a classification, a label, a relationship, and a content of the knowledge point;
  • a second transmission module configured to transmit data between the network terminal and the network terminal
  • the server processor module is configured to form a personalized test paper based on each user-specific knowledge point structure stored in the knowledge point storage module, and transmit the test paper to the network terminal through the second transmission module, and receive the answer from the network terminal And evaluate the user's learning based on the results of the answer.
  • the server processing module includes:
  • the question unit is formed, and a personalized test paper is formed for each user's learning process, and the test paper content only covers the knowledge points that the corresponding user has learned.
  • the server processing module includes:
  • the knowledge point structure produces a question unit, and a personalized test paper is formed for each user's own knowledge point structure.
  • the test paper content only covers the knowledge point structure constructed by the corresponding user.
  • the server processing module includes:
  • the chronological ordering unit forms a personalized test paper for the user's learning time of different knowledge points, wherein the knowledge point whose learning time is earlier than the preset value is used to examine the degree of understanding of the user, and the learning time is later than the pre-reading Set the knowledge point to examine the degree of memory users have.
  • the server processor module is further configured to perform test paper questions and process evaluations during the user's learning process or to perform test paper questions and process evaluations after the user has completed learning. .
  • the server processing module is further configured to perform test questions and evaluations during a user cold start, at the time of user self-test, or external evaluation.
  • the server processor module further includes:
  • the question setting method setting unit sets the test questions into an examination of the structure of the knowledge points or an examination of the contents of the knowledge points.
  • the question mode setting unit can also set the test question as an examination of the degree of understanding of the knowledge point structure or the knowledge point content or the knowledge point structure or the knowledge point content. An examination of the degree of memory.
  • the server processing module further includes:
  • the evaluation unit sets a weight coefficient based on the difficulty of the formed test paper, and integrates the answer result of the test paper corresponding to the user and the weight coefficient corresponding to the test paper difficulty to form an evaluation result.
  • the present invention has the following beneficial effects: the present invention forms a targeted test paper by specific learning situations such as different degrees of understanding of the knowledge point structure and different learning progress of the user in the learning process, and Different weight coefficients are set based on different test papers, and finally the evaluation results are combined with the user's completion of the test paper and the set weight coefficient.
  • the present invention can detect the learning situation in real time and in stages in the long learning process of the user, and the detection is personalized for each user, and can detect the user in the most reasonable manner. Learning situation.
  • FIG. 1 shows a schematic diagram of a first embodiment of a personalized embedded test apparatus of the present invention.
  • Figure 2 shows a schematic diagram of a second embodiment of the personalized embedded test apparatus of the present invention.
  • Figure 3 shows a schematic diagram of a third embodiment of the personalized embedded test apparatus of the present invention.
  • Figure 1 illustrates the principles of a first embodiment of the personalized embedded test apparatus of the present invention.
  • the embedded test apparatus of this embodiment includes a server 1a and a network terminal 2a.
  • the network terminal 2a includes a display module 21a, an input module 22a, a first transmission module 23a, and a terminal processor module 24a.
  • the display module 21a is for displaying a test paper on the screen of the network terminal.
  • the input module 22a is used for the user to input the answer content on the test paper.
  • the first transmission module 23a is used for data transmission with the server 1a.
  • the terminal processor module 24a is configured to receive test paper information from the server 1a through the first transmission module 23a, and display the test paper through the display module 21a, based on the user's answer received by the input module 22a. Then, the answer content is transmitted to the server 1a through the first transmission module 23a.
  • the server 1a includes a knowledge point storage module 11a, a second transmission module 12a, and a server processor module 13a.
  • the knowledge point storage module 11a stores a knowledge point structure specific to each user, wherein the knowledge point structure includes a classification, a label, a relationship, and a content of the knowledge points.
  • the second transmission module 12a is for data transmission with the network terminal 2a.
  • the server processor module 13a is configured to form a personalized test paper based on each user-specific knowledge point structure stored in the knowledge point storage module 11a, and transmit the test paper to the network terminal 2a through the second transmission module 12a, and subsequently receive from the network The answer of the network terminal, and the user's learning is evaluated based on the result of the answer.
  • the server processor module 13a includes a learning process presentation unit 133a and a knowledge point structure presentation unit 131a.
  • the learning process problem unit 133a forms a personalized test question for each user's learning process, and the test paper content only covers the knowledge points that the user himself has learned.
  • the knowledge point structure problem description unit 131a forms a personalized test paper for each user's own knowledge point structure, and the test paper content only covers the knowledge point structure constructed by the user himself.
  • the server processing module 13a further includes an evaluation unit 132a.
  • the evaluation unit 132a sets a weight coefficient based on the difficulty of each test paper, and integrates the answer result of the test paper corresponding to the user and the weight coefficient corresponding to the test paper difficulty to form an evaluation result.
  • each user's own constructed knowledge point structure has a difference in complexity and level. For example, some users have a relatively simple understanding of the knowledge point structure or a small number of learned knowledge points, so its construction The knowledge points have fewer levels of structure and simpler structure, while some users have a thorough understanding of the structure of knowledge points or a large number of learned points. Therefore, the structure of the constructed knowledge points is more hierarchical and structurally more To be complicated.
  • the knowledge point structure problem unit 131a is based on the user's own constructed knowledge point structure, the difficulty of the test paper is obviously greater for the more complicated user of the structure construction, and the evaluation unit 132a is actually based on
  • the complexity of the construction of the knowledge point structure sets a corresponding weight coefficient, and the user's answer result is multiplied by this weight coefficient to obtain the final evaluation result. Therefore, the user's answer score of the simple structure is the same as that of the user with complicated structure, but the evaluation result of the user with complicated structure is better than the evaluation result of the user with simple structure due to the difference of the weight coefficient.
  • the server processor module 13a is configured to be able to test during the user's learning process. Roll out the work to test the user's staged learning outcomes. Moreover, the timing of the questions can also be configured, for example, when the user cold-starts the system, questions and evaluations, questions and assessments when the user initiates the self-test, or when the external organization needs to perform the evaluation. Of course, the server processor module 13a can also be configured to perform test paper questions and process evaluations after the completion of the study to verify the final learning outcomes of the user.
  • FIG. 2 illustrates the principles of a second embodiment of the personalized embedded test apparatus of the present invention.
  • the embedded test apparatus of this embodiment includes a server 1b and a network terminal 2b.
  • the network terminal 2b includes a display module 21b, an input module 22b, a first transmission module 23b, and a terminal processor module 24b.
  • the display module 21b is for displaying a test paper on the screen of the network terminal.
  • the input module 22b is used for the user to input the answer content on the test paper.
  • the first transmission module 23b is used for data transmission with the server 1b.
  • the terminal processor module 24b is configured to receive the test paper information from the server 1b through the first transmission module 23b, display the test paper through the display module 21b, and based on the answer content of the user received by the input module 22b, and then answer the content through the first transmission module 23b. Transfer to server 1b.
  • the server 1b includes a knowledge point storage module 11b, a second transmission module 12b, and a server processor module 13b.
  • the knowledge point storage module 11b stores a knowledge point structure specific to each user, wherein the knowledge point structure includes categories, tags, relationships, and contents of the knowledge points.
  • the second transmission module 12b is for data transmission with the network terminal 2b.
  • the server processor module 13b is configured to form a personalized test paper based on each user-specific knowledge point structure stored in the knowledge point storage module 11b, and transmit the test paper to the network terminal 2b through the second transmission module 12b, and subsequently receive the test paper from The answer of the network terminal, and the user's learning is evaluated based on the result of the answer.
  • the server processor module 13b includes a learning process issue unit 134b and a knowledge point structure issue unit 131b.
  • the learning process problem unit 134b is a personalized test question for each user's learning process, and the test paper content only covers the knowledge points that the user himself has learned.
  • Knowledge point structure The questioning unit 131b forms a personalized test paper for each user's own knowledge point structure, and the test paper content only covers the knowledge point structure constructed by the user himself.
  • the server processor module 13b further includes a chronological ordering unit 133b, which forms a personalized test paper for the user to learn the learning time of different knowledge points, wherein the knowledge points are earlier than the preset value of the learning time, because the knowledge points are Learning at an earlier time is therefore more suitable for examining the user's understanding of these knowledge points, such as examining the application questions.
  • a chronological ordering unit 133b which forms a personalized test paper for the user to learn the learning time of different knowledge points, wherein the knowledge points are earlier than the preset value of the learning time, because the knowledge points are Learning at an earlier time is therefore more suitable for examining the user's understanding of these knowledge points, such as examining the application questions.
  • the server processing module 13b further includes an evaluation unit 132b.
  • the evaluation unit 132b sets a weight coefficient based on the difficulty of each test paper, and integrates the answer result of the test paper corresponding to the user and the weight coefficient corresponding to the test paper difficulty to form an evaluation result.
  • each user's own constructed knowledge point structure has a difference in complexity and level. For example, some users have a relatively simple understanding of the knowledge point structure or a small number of learned knowledge points, so its construction The knowledge points have fewer levels of structure and simpler structure, while some users have a thorough understanding of the structure of knowledge points or a large number of learned points. Therefore, the structure of the constructed knowledge points is more hierarchical and structurally more To be complicated.
  • the knowledge point structure problem-taking unit 131b is based on the user-constructed knowledge point structure, the difficulty of the test paper is obviously greater for the more complicated user of the structure construction, and the evaluation unit 132b is actually based on
  • the complexity of the construction of the knowledge point structure sets a corresponding weight coefficient, and the user's answer result is multiplied by this weight coefficient to obtain the final evaluation result. Therefore, the user's answer score of the simple structure is the same as that of the user with complicated structure, but the evaluation result of the user with complicated structure is better than the evaluation result of the user with simple structure due to the difference of the weight coefficient.
  • the evaluation unit 132b may also set the weighting coefficient for the formation of the test paper for the chronological ordering unit 133b. Since the degree of understanding is more difficult than the degree of memory, a higher weighting factor is given for a test paper that focuses on understanding.
  • the server processor module 13b is configured to perform the work of the test paper during the learning process of the user to verify the user's phased learning results.
  • the timing of the questions can also be configured, for example, when the user cold-starts the system, questions and evaluations, questions and assessments when the user initiates the self-test, or when the external organization needs to perform the evaluation.
  • the server processor module 13b can also be configured to perform test paper questions and process evaluation after the completion of the study to verify the user's final learning. Results.
  • FIG. 3 illustrates the principles of a third embodiment of the personalized embedded test apparatus of the present invention.
  • the embedded test apparatus of this embodiment includes a server 1c and a network terminal 2c.
  • the network terminal 2c includes a display module 21c, an input module 22c, a first transmission module 23c, and a terminal processor module 24c.
  • the display module 21c is for displaying a test paper on the screen of the network terminal.
  • the input module 22c is used for the user to input the answer content on the test paper.
  • the first transmission module 23c is used for data transmission with the server 1c.
  • the terminal processor module 24c is configured to receive the test paper information from the server 1c through the first transmission module 23c, display the test paper through the display module 21c, and based on the answer content of the user received by the input module 22c, and then answer the content through the first transmission module 23c. Transfer to server 1c.
  • the server 1c includes a knowledge point storage module 11c, a second transmission module 12c, and a server processor module 13c.
  • the knowledge point storage module 11c stores a knowledge point structure specific to each user, wherein the knowledge point structure includes a classification, a label, a relationship, and a content of the knowledge points.
  • the second transmission module 12c is for data transmission with the network terminal 2c.
  • the server processor module 13c is configured to form a personalized test paper based on each user-specific knowledge point structure stored in the knowledge point storage module 11c, and transmit the test paper to the network terminal 2c through the second transmission module 12c, and subsequently receive the test paper from The answer of the network terminal, and the user's learning is evaluated based on the result of the answer.
  • the server processor module 13c includes a learning process problem unit 135c and a knowledge point structure problem unit 131c.
  • the learning process heading unit 135c forms a personalized test question for each user's learning process, and the test paper content only covers the knowledge points that the user himself has learned.
  • the knowledge point structure problem solving unit 131c forms a personalized test paper for each user's own constructed knowledge point structure, and the test paper content only covers the knowledge point structure constructed by the user himself.
  • the server processor module 13c further includes a chronological ordering unit 133c for forming a personalized test paper for the user to learn the learning time of different knowledge points, wherein the learning time is earlier than the preset value.
  • Knowledge points because these knowledge points are learned at an earlier time, it is more suitable to examine the degree of user understanding of these knowledge points, such as the application of the problem.
  • For the knowledge points whose learning time is later than the preset value since these knowledge points are learned at a later time, it is suitable to examine the degree of memory of the user's knowledge points, for example, by filling in the questions.
  • the server processor module 13c further includes a question mode setting unit 134c, which can set the test questions to examine the structure of the knowledge points, and can also set the test questions as an examination of the contents of the knowledge points. Whether it is the structure of the knowledge point or the content of the knowledge point, the choice of the way of investigation can also be an examination of the degree of understanding or an examination of the degree of memory.
  • the server processing module 13c further includes an evaluation unit 132c.
  • the evaluation unit 132c sets a weight coefficient based on the difficulty of each test paper, and integrates the answer result of the test paper corresponding to the user and the weight coefficient corresponding to the test paper difficulty to form an evaluation result.
  • each user's own constructed knowledge point structure has a difference in complexity and level. For example, some users have a relatively simple understanding of the knowledge point structure or a small number of learned knowledge points, so its construction The knowledge points have fewer levels of structure and simpler structure, while some users have a thorough understanding of the structure of knowledge points or a large number of learned points. Therefore, the structure of the constructed knowledge points is more hierarchical and structurally more To be complicated.
  • the knowledge point structure problem unit 131c is based on the knowledge point structure constructed by the user himself, the difficulty of the test paper is obviously greater for the more complicated user of the structure construction, and the evaluation unit 132c is actually based on
  • the complexity of the construction of the knowledge point structure sets a corresponding weight coefficient, and the user's answer result is multiplied by this weight coefficient to obtain the final evaluation result. Therefore, the user's answer score of the simple structure is the same as that of the user with complicated structure, but the evaluation result of the user with complicated structure is better than the evaluation result of the user with simple structure due to the difference of the weight coefficient.
  • the evaluation unit 132c may also set the weighting coefficient for the formation of the test paper for the chronological ordering unit 133c. Since the degree of understanding is more difficult than the degree of memory, a higher weighting factor is given for a test paper that focuses on understanding.
  • the evaluation unit 132c may also set the weight coefficient for the specific problem manner of the question mode setting unit 134c. Since it is more difficult to examine the knowledge point structure than to examine the content of the knowledge point, a higher weight coefficient is given for the test paper focusing on the structure of the knowledge point.
  • the server processor module 13c is configured to perform the work of the test paper in the learning process of the user to verify the user's phased learning results. And the timing of the questions can also be matched For example, questions and assessments can be made when the user cold-starts the system, questions and assessments are taken when the user initiates the self-test, or when the external organization needs to perform an assessment.
  • the server processor module 13c can also be configured to perform test paper questions and process evaluations after the learning is completed to verify the final learning outcomes of the user.
  • DSPs digital signal processors
  • ASICs application specific integrated circuits
  • FPGAs field programmable gate arrays
  • Programmable logic devices, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein are implemented or executed.
  • a general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine.
  • the processor may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
  • a software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
  • An exemplary storage medium is coupled to the processor to enable the processor to read and write information to/from the storage medium.
  • the storage medium can be integrated into the processor.
  • the processor and the storage medium can reside in an ASIC.
  • the ASIC can reside in the user terminal.
  • the processor and the storage medium may reside as a discrete component in the user terminal.
  • the functions described may be in hardware, software, firmware or Implemented in any combination. If implemented as a computer program product in software, the functions may be stored on or transmitted as one or more instructions or code on a computer readable medium.
  • Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another.
  • a storage medium may be any available media that can be accessed by a computer.
  • such computer readable media may comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage or other magnetic storage device, or can be used to carry or store instructions or data structures. Any other medium that is desirable for program code and that can be accessed by a computer.
  • any connection is also properly referred to as a computer readable medium.
  • the software is transmitted from a web site, server, or other remote source using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave.
  • the coaxial cable, fiber optic cable, twisted pair cable, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of the medium.
  • Disks and discs as used herein include compact discs (CDs), laser discs, optical discs, digital versatile discs (DVDs), floppy discs, and Blu-ray discs, in which disks are often reproduced magnetically. Data, and discs optically reproduce data with a laser. Combinations of the above should also be included within the scope of computer readable media.

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Abstract

一种个性化的嵌入式考试装置，包括服务器（1a，1b，1c）和网络终端（2a，2b，2c），其中网络终端（2a，2b，2c）包括显示模块（21a，21b，21c），输入模块（22a，22b，22c），第一传输模块（23a，23b，2c3）和终端处理器模块（24a，24b，24c），服务器（1a，1b，1c）包括知识点存储模块（11a，11b，11c），存储每一个用户专属的知识点结构，其中知识点结构包括知识点的分类、标签、关系和内容，服务器（1a，1b，1c）还包括第二传输模块（12a，12b，12c）和服务器处理器模块（13a，13b，13c），服务器处理器模块（13a，13b，13c）被配置成基于知识点存储模块（11a，11b，11c）中所存储的每一个用户专属的知识点结构形成个性化的试卷，并通过第二传输模块（12a，12b，12c）将试卷传输至网络终端（2a，2b，2c），接收来自网络终端（2a，2b，2c）的答题，并基于答题结果对用户的学习进行评估。个性化的嵌入式考试装置可以针对每个用户的学习情况做个性化的出题，并给出合理的学习效果的评估，提高用户学习效率。

Description

一种个性化的嵌入式考试装置 发明领域
本发明涉及一种考试装置，尤其涉及用户在对知识点结构的学习过程中进行有针对性的考试的装置。
背景技术
网络学习中往往会对知识进行分类，整个知识系统的最基本的单元称为知识点，例如在百度百科中知识点也被称为词条。多个知识点之间可能存在逻辑关系，例如是并列关系、包含关系、因果关系等。
传统的网络学习也是基于知识点的学习，然而知识点的展现基本上是文字列表形式。例如在百度百科中，用户通过输入搜索词获得相关的词条，百度百科会在页面上显示词条的内容、编辑者的信息等，除此之外，还会显示该词条相关联的词条，这种相关联的词条通常是出现在该词条的内容中，并以网络链接的方式提供。用户通过点击这一链接而进入该链接对应的词条中。
但是，这种词条之间的联系是一种非常弱的连接，基本上不存在很强的逻辑关系，因为这仅仅是在当前词条的解释中遇到了另一个词条而建立链接。如果用户需要专门学习某一类知识，不可能通过像百度百科这样的方式进行学习，因为需要学习的词条之间没有逻辑关系，不可能帮助用户构建一个知识体系。
另一种学习方式是将需要学习的知识点制作成课件传到互联网上。用户下载课件或者在线学习课件。这种课件学习方式只是将传统的课堂学习复制到了网络上，并不是互联网思维的学习方式，学习者只是被动的接收课件上提供的知识点，而非主动的学习知识点并构建基于这些知识点的知识体系。这种学习系统一方面会对学习者的主动学习的兴趣予以打击，另一方面这种不具全局性的学习方式也很难帮助学习者构建出一个系统化的、完整的知识结构。
申请人对于上述的传统学习系统的不足进行了改进，提出了一种基于知识点结构进行学习的系统，在这一系统中，用户是基于知识点的结构来学习整个知识体系。并且可以在这个系统中，基于自己的理解建立属于自己的知识点结构。
然而，这个学习系统的缺点在于，用户对知识点结构的学习效果在学习过 程中得不到有效的检验。第一，在漫长的学习过程中需要分阶段的对用户的学习效果进行检验；第二，即使是同样的知识点结构的学习，每个用户对其的掌握程度和学习进度都是不同的，如何基于这一个性化的学习情况提出有针对性的试卷，从而达到高效便捷的检验学习效果，是目前亟待解决的技术问题。
发明概述
以下给出一个或多个方面的简要概述以提供对这些方面的基本理解。此概述不是所有构想到的方面的详尽综览，并且既非旨在指认出所有方面的关键性或决定性要素亦非试图界定任何或所有方面的范围。其唯一的目的是要以简化形式给出一个或多个方面的一些概念以为稍后给出的更加详细的描述之序。
本发明的目的在于解决上述问题，提供了一种个性化的嵌入式考试装置，可以针对每个用户的学习情况做个性化的出题，并给出最合理的学习效果的评估，从而提高用户学习的效率。
本发明的技术方案为：本发明揭示了一种个性化的嵌入式考试装置，包括服务器和网络终端，其中：
网络终端包括：
显示模块，用于在网络终端的屏幕上显示试卷；
输入模块，用于用户在试卷上对答题内容的输入；
第一传输模块，用于和服务器之间传输数据；
终端处理器模块，被配置成通过第一传输模块从服务器中接收试卷信息，通过显示模块显示试卷，基于输入模块接收用户的答题，并再通过第一传输模块将答题传输至服务器；
服务器包括：
知识点存储模块，存储每一个用户专属的知识点结构，其中知识点结构包括知识点的分类、标签、关系和内容；
第二传输模块，用于和网络终端之间传输数据；
服务器处理器模块，被配置成基于知识点存储模块中所存储的每一个用户专属的知识点结构形成个性化的试卷，并通过第二传输模块将试卷传输至网络终端，接收来自网络终端的答题，并基于答题结果对用户的学习进行评估。
根据本发明的个性化的嵌入式考试装置的一实施例，服务器处理模块中包括：
学习过程出题单元，针对每个用户的学习过程形成个性化的试卷，试卷内容仅覆盖对应用户已经学习过的知识点。
根据本发明的个性化的嵌入式考试装置的一实施例，服务器处理模块中包括：
知识点结构出题单元，针对每个用户自己建构的知识点结构形成个性化的试卷，试卷内容仅覆盖对应用户自己建构过的知识点结构。
根据本发明的个性化的嵌入式考试装置的一实施例，服务器处理模块中包括：
时间顺序出题单元，针对用户对不同知识点的学习时间的先后形成个性化的试卷，其中对学习时间早于预设值的知识点，考察用户对其的理解程度，对学习时间晚于预设值的知识点，考察用户对其的记忆程度。
根据本发明的个性化的嵌入式考试装置的一实施例，服务器处理器模块还被配置成在用户的学习过程中进行试卷出题和过程评估或者在用户学习完成后进行试卷出题和过程评估。
根据本发明的个性化的嵌入式考试装置的一实施例，服务器处理模块还被配置成在用户冷启动时、用户自测时、或者外部评估时进行试卷出题和评估。
根据本发明的个性化的嵌入式考试装置的一实施例，服务器处理器模块还包括：
出题方式设置单元，将试题设置成对知识点结构的考察或者对知识点内容的考察。
根据本发明的个性化的嵌入式考试装置的一实施例，出题方式设置单元还能够将试题设置成对知识点结构或知识点内容的理解程度的考察或者对知识点结构或知识点内容的记忆程度的考察。
根据本发明的个性化的嵌入式考试装置的一实施例，服务器处理模块中还包括：
评估单元，基于所形成的试卷的难度设置一个权重系数，综合用户对应的试卷的答题结果以及试卷难度对应的权重系数形成评估结果。
本发明对比现有技术有如下的有益效果：本发明通过对用户在学习过程中对知识点结构的理解程度的不同、学习进度的不同等具体的学习情况，形成了有针对性的试卷，并基于不同的试卷设置不同的权重系数，最终结合用户对试卷的完成情况以及所设置的权重系数，综合出评估结果。相对于现有技术，本发明能够在用户漫长的学习过程中实时的、分阶段的对学习情况进行检测，而且这种检测是针对每一个用户个性化设置的，能够以最合理的方式检测用户的学习情况。
附图说明
图1示出了本发明的个性化的嵌入式考试装置的第一实施例的原理图。
图2示出了本发明的个性化的嵌入式考试装置的第二实施例的原理图。
图3示出了本发明的个性化的嵌入式考试装置的第三实施例的原理图。
发明的详细说明
在结合以下附图阅读本公开的实施例的详细描述之后，能够更好地理解本发明的上述特征和优点。在附图中，各组件不一定是按比例绘制，并且具有类似的相关特性或特征的组件可能具有相同或相近的附图标记。
个性化的嵌入式考试装置的第一实施例
图1示出了本发明的个性化的嵌入式考试装置的第一实施例的原理。请参见图1，本实施例的嵌入式考试装置包括服务器1a和网络终端2a。
网络终端2a包括显示模块21a、输入模块22a、第一传输模块23a和终端处理器模块24a。
显示模块21a用于在网络终端的屏幕上显示试卷。输入模块22a用于用户在试卷上对答题内容的输入。第一传输模块23a用于和服务器1a之间的数据传输。终端处理器模块24a被配置成通过第一传输模块23a从服务器1a中接收试卷信息，通过显示模块21a显示试卷，基于输入模块22a接收的用户的答题内 容，再通过第一传输模块23a将答题内容传输至服务器1a。
本发明中最重要的是试卷的形成，这一操作在服务器1a中完成。服务器1a包括知识点存储模块11a、第二传输模块12a以及服务器处理器模块13a。
知识点存储模块11a存储每一个用户专属的知识点结构，其中知识点结构包括知识点的分类、标签、关系和内容。第二传输模块12a用于和网络终端2a之间的数据传输。
服务器处理器模块13a被配置成基于知识点存储模块11a中所存储的每一个用户专属的知识点结构形成个性化的试卷，通过第二传输模块12a将试卷传输至网络终端2a，后续再接收来自网络终端的答题，并基于答题结果对用户的学习进行评估。
具体而言，服务器处理器模块13a中包括学习过程出题单元133a和知识点结构出题单元131a。学习过程出题单元133a是针对每个用户的学习过程形成个性化的试题，试卷内容仅覆盖用户自己已经学习过的知识点。
知识点结构出题单元131a，针对每个用户自己建构的知识点结构形成个性化的试卷，试卷内容仅覆盖用户自己建构过的知识点结构。
服务器处理模块13a中还包括评估单元132a，评估单元132a基于每一份试卷的难度设置一个权重系数，综合用户对应的试卷的答题结果以及试卷难度对应的权重系数形成评估结果。在本实施例中，每个用户自己建构的知识点结构存在着复杂度和层级上的区别，例如有的用户对知识点结构的理解较为浅显或者学习过的知识点数量不多，因此其建构的知识点结构层级较少，结构也较为简单，而有的用户对知识点结构的理解较为透彻或者学习过的知识点数量较多，因此其建构的知识点结构层级较多，结构上也更为复杂。由于知识点结构出题单元131a是基于用户自己建构的知识点结构进行出题，因此对于结构建构的更复杂的用户的出题，试卷难度显然也更大，此时评估单元132a实际上是基于知识点结构在建构上的复杂度设置了一个对应的权重系数，用户的答题结果乘以这一权重系数才得出最终的评估结果。因此，结构简单的用户的答题分数即使和结构复杂的用户的答题分数相同，但由于权重系数的不同，结构复杂的用户的评估结果要优于结构简单的用户的评估结果。
较佳的，服务器处理器模块13a被配置成可以在用户的学习过程中进行试 卷出题的工作，以检验用户阶段性的学习成果。而且出题的时机也可以进行配置，例如可以在用户冷启动系统时出题和评估、在用户启动自测时出题和评估、或者在外部机构需要进行评估时进行出题和评估。当然，服务器处理器模块13a也可以配置成在学习完成后进行试卷出题和过程评估，以检验用户最终的学习成果。
个性化的嵌入式考试装置的第二实施例
图2示出了本发明的个性化的嵌入式考试装置的第二实施例的原理。请参见图2，本实施例的嵌入式考试装置包括服务器1b和网络终端2b。
网络终端2b包括显示模块21b、输入模块22b、第一传输模块23b和终端处理器模块24b。
显示模块21b用于在网络终端的屏幕上显示试卷。输入模块22b用于用户在试卷上对答题内容的输入。第一传输模块23b用于和服务器1b之间的数据传输。终端处理器模块24b被配置成通过第一传输模块23b从服务器1b中接收试卷信息，通过显示模块21b显示试卷，基于输入模块22b接收的用户的答题内容，再通过第一传输模块23b将答题内容传输至服务器1b。
本发明中最重要的是试卷的形成，这一操作在服务器1b中完成。服务器1b包括知识点存储模块11b、第二传输模块12b以及服务器处理器模块13b。
知识点存储模块11b存储每一个用户专属的知识点结构，其中知识点结构包括知识点的分类、标签、关系和内容。第二传输模块12b用于和网络终端2b之间的数据传输。
服务器处理器模块13b被配置成基于知识点存储模块11b中所存储的每一个用户专属的知识点结构形成个性化的试卷，通过第二传输模块12b将试卷传输至网络终端2b，后续再接收来自网络终端的答题，并基于答题结果对用户的学习进行评估。
具体而言，服务器处理器模块13b中包括学习过程出题单元134b和知识点结构出题单元131b。学习过程出题单元134b是针对每个用户的学习过程形成个性化的试题，试卷内容仅覆盖用户自己已经学习过的知识点。知识点结构 出题单元131b针对每个用户自己建构的知识点结构形成个性化的试卷，试卷内容仅覆盖用户自己建构过的知识点结构。
服务器处理器模块13b中还包括时间顺序出题单元133b，针对用户对不同知识点的学习时间的先后形成个性化的试卷，其中对学习时间早于预设值的知识点，由于这些知识点是在较早的时候学习的，因此更适合考察用户对这些知识点的理解程度，比如以应用题的方式进行考察。而对于学习时间晚于预设值的知识点，由于这些知识点是在较晚的时候学习的，因此可适合考察用户对这些知识点的记忆程度，比如以填充题的方式进行考察。
服务器处理模块13b中还包括评估单元132b，评估单元132b基于每一份试卷的难度设置一个权重系数，综合用户对应的试卷的答题结果以及试卷难度对应的权重系数形成评估结果。在本实施例中，每个用户自己建构的知识点结构存在着复杂度和层级上的区别，例如有的用户对知识点结构的理解较为浅显或者学习过的知识点数量不多，因此其建构的知识点结构层级较少，结构也较为简单，而有的用户对知识点结构的理解较为透彻或者学习过的知识点数量较多，因此其建构的知识点结构层级较多，结构上也更为复杂。由于知识点结构出题单元131b是基于用户自己建构的知识点结构进行出题，因此对于结构建构的更复杂的用户的出题，试卷难度显然也更大，此时评估单元132b实际上是基于知识点结构在建构上的复杂度设置了一个对应的权重系数，用户的答题结果乘以这一权重系数才得出最终的评估结果。因此，结构简单的用户的答题分数即使和结构复杂的用户的答题分数相同，但由于权重系数的不同，结构复杂的用户的评估结果要优于结构简单的用户的评估结果。
同样的，评估单元132b也可以针对时间顺序出题单元133b对试卷的形成情况进行权重系数的设置。由于考察理解程度较之考察记忆程度难度更高，因此对于侧重于考察理解的试卷会给出更高的权重系数。
较佳的，服务器处理器模块13b被配置成可以在用户的学习过程中进行试卷出题的工作，以检验用户阶段性的学习成果。而且出题的时机也可以进行配置，例如可以在用户冷启动系统时出题和评估、在用户启动自测时出题和评估、或者在外部机构需要进行评估时进行出题和评估。当然，服务器处理器模块13b也可以配置成在学习完成后进行试卷出题和过程评估，以检验用户最终的学习 成果。
个性化的嵌入式考试装置的第三实施例
图3示出了本发明的个性化的嵌入式考试装置的第三实施例的原理。请参见图3，本实施例的嵌入式考试装置包括服务器1c和网络终端2c。
网络终端2c包括显示模块21c、输入模块22c、第一传输模块23c和终端处理器模块24c。
显示模块21c用于在网络终端的屏幕上显示试卷。输入模块22c用于用户在试卷上对答题内容的输入。第一传输模块23c用于和服务器1c之间的数据传输。终端处理器模块24c被配置成通过第一传输模块23c从服务器1c中接收试卷信息，通过显示模块21c显示试卷，基于输入模块22c接收的用户的答题内容，再通过第一传输模块23c将答题内容传输至服务器1c。
本发明中最重要的是试卷的形成，这一操作在服务器1c中完成。服务器1c包括知识点存储模块11c、第二传输模块12c以及服务器处理器模块13c。
知识点存储模块11c存储每一个用户专属的知识点结构，其中知识点结构包括知识点的分类、标签、关系和内容。第二传输模块12c用于和网络终端2c之间的数据传输。
服务器处理器模块13c被配置成基于知识点存储模块11c中所存储的每一个用户专属的知识点结构形成个性化的试卷，通过第二传输模块12c将试卷传输至网络终端2c，后续再接收来自网络终端的答题，并基于答题结果对用户的学习进行评估。
具体而言，服务器处理器模块13c中包括学习过程出题单元135c和知识点结构出题单元131c。学习过程出题单元135c是针对每个用户的学习过程形成个性化的试题，试卷内容仅覆盖用户自己已经学习过的知识点。知识点结构出题单元131c针对每个用户自己建构的知识点结构形成个性化的试卷，试卷内容仅覆盖用户自己建构过的知识点结构。
服务器处理器模块13c中还包括时间顺序出题单元133c，针对用户对不同知识点的学习时间的先后形成个性化的试卷，其中对学习时间早于预设值的知 识点，由于这些知识点是在较早的时候学习的，因此更适合考察用户对这些知识点的理解程度，比如以应用题的方式进行考察。而对于学习时间晚于预设值的知识点，由于这些知识点是在较晚的时候学习的，因此可适合考察用户对这些知识点的记忆程度，比如以填充题的方式进行考察。
服务器处理器模块13c中还包括出题方式设置单元134c，可将试题设置成对知识点结构的考察、也可以将试题设置成对知识点内容的考察。而无论是知识点结构还是知识点内容的考察，在考察方式上也可以选择是对理解程度的考察还是对记忆程度的考察。
服务器处理模块13c中还包括评估单元132c，评估单元132c基于每一份试卷的难度设置一个权重系数，综合用户对应的试卷的答题结果以及试卷难度对应的权重系数形成评估结果。在本实施例中，每个用户自己建构的知识点结构存在着复杂度和层级上的区别，例如有的用户对知识点结构的理解较为浅显或者学习过的知识点数量不多，因此其建构的知识点结构层级较少，结构也较为简单，而有的用户对知识点结构的理解较为透彻或者学习过的知识点数量较多，因此其建构的知识点结构层级较多，结构上也更为复杂。由于知识点结构出题单元131c是基于用户自己建构的知识点结构进行出题，因此对于结构建构的更复杂的用户的出题，试卷难度显然也更大，此时评估单元132c实际上是基于知识点结构在建构上的复杂度设置了一个对应的权重系数，用户的答题结果乘以这一权重系数才得出最终的评估结果。因此，结构简单的用户的答题分数即使和结构复杂的用户的答题分数相同，但由于权重系数的不同，结构复杂的用户的评估结果要优于结构简单的用户的评估结果。
同样的，评估单元132c也可以针对时间顺序出题单元133c对试卷的形成情况进行权重系数的设置。由于考察理解程度较之考察记忆程度难度更高，因此对于侧重于考察理解的试卷会给出更高的权重系数。
同样的，评估单元132c也可以针对出题方式设置单元134c的具体出题方式进行权重系数的设置。由于考察知识点结构较之考察知识点内容的难度更高，因此对于侧重于考察知识点结构的试卷会给出更高的权重系数。
较佳的，服务器处理器模块13c被配置成可以在用户的学习过程中进行试卷出题的工作，以检验用户阶段性的学习成果。而且出题的时机也可以进行配 置，例如可以在用户冷启动系统时出题和评估、在用户启动自测时出题和评估、或者在外部机构需要进行评估时进行出题和评估。当然，服务器处理器模块13c也可以配置成在学习完成后进行试卷出题和过程评估，以检验用户最终的学习成果。
本领域技术人员将进一步领会，结合本文中所公开的实施例来描述的各种解说性逻辑板块、模块、电路、和算法步骤可实现为电子硬件、计算机软件、或这两者的组合。为清楚地解说硬件与软件的这一可互换性，各种解说性组件、框、模块、电路、和步骤在上面是以其功能性的形式作一般化描述的。此类功能性是被实现为硬件还是软件取决于具体应用和施加于整体系统的设计约束。技术人员对于每种特定应用可用不同的方式来实现所描述的功能性，但这样的实现决策不应被解读成导致脱离了本发明的范围。
结合本文所公开的实施例描述的各种解说性逻辑板块、模块、和电路可用通用处理器、数字信号处理器(DSP)、专用集成电路(ASIC)、现场可编程门阵列(FPGA)或其它可编程逻辑器件、分立的门或晶体管逻辑、分立的硬件组件、或其设计成执行本文所描述功能的任何组合来实现或执行。通用处理器可以是微处理器，但在替换方案中，该处理器可以是任何常规的处理器、控制器、微控制器、或状态机。处理器还可以被实现为计算设备的组合，例如DSP与微处理器的组合、多个微处理器、与DSP核心协作的一个或多个微处理器、或任何其他此类配置。
结合本文中公开的实施例描述的方法或算法的步骤可直接在硬件中、在由处理器执行的软件模块中、或在这两者的组合中体现。软件模块可驻留在RAM存储器、闪存、ROM存储器、EPROM存储器、EEPROM存储器、寄存器、硬盘、可移动盘、CD-ROM、或本领域中所知的任何其他形式的存储介质中。示例性存储介质耦合到处理器以使得该处理器能从/向该存储介质读取和写入信息。在替换方案中，存储介质可以被整合到处理器。处理器和存储介质可驻留在ASIC中。ASIC可驻留在用户终端中。在替换方案中，处理器和存储介质可作为分立组件驻留在用户终端中。
在一个或多个示例性实施例中，所描述的功能可在硬件、软件、固件或其 任何组合中实现。如果在软件中实现为计算机程序产品，则各功能可以作为一条或更多条指令或代码存储在计算机可读介质上或藉其进行传送。计算机可读介质包括计算机存储介质和通信介质两者，其包括促成计算机程序从一地向另一地转移的任何介质。存储介质可以是能被计算机访问的任何可用介质。作为示例而非限定，这样的计算机可读介质可包括RAM、ROM、EEPROM、CD-ROM或其它光盘存储、磁盘存储或其它磁存储设备、或能被用来携带或存储指令或数据结构形式的合意程序代码且能被计算机访问的任何其它介质。任何连接也被正当地称为计算机可读介质。例如，如果软件是使用同轴电缆、光纤电缆、双绞线、数字订户线(DSL)、或诸如红外、无线电、以及微波之类的无线技术从web网站、服务器、或其它远程源传送而来，则该同轴电缆、光纤电缆、双绞线、DSL、或诸如红外、无线电、以及微波之类的无线技术就被包括在介质的定义之中。如本文中所使用的盘(disk)和碟(disc)包括压缩碟(CD)、激光碟、光碟、数字多用碟(DVD)、软盘和蓝光碟，其中盘(disk)往往以磁的方式再现数据，而碟(disc)用激光以光学方式再现数据。上述的组合也应被包括在计算机可读介质的范围内。
提供对本公开的先前描述是为使得本领域任何技术人员皆能够制作或使用本公开。对本公开的各种修改对本领域技术人员来说都将是显而易见的，且本文中所定义的普适原理可被应用到其他变体而不会脱离本公开的精神或范围。由此，本公开并非旨在被限定于本文中所描述的示例和设计，而是应被授予与本文中所公开的原理和新颖性特征相一致的最广范围。

Claims (9)

  1. 一种个性化的嵌入式考试装置，包括服务器和网络终端，其中：
    网络终端包括：
    显示模块，用于在网络终端的屏幕上显示试卷；
    输入模块，用于用户在试卷上对答题内容的输入；
    第一传输模块，用于和服务器之间传输数据；
    终端处理器模块，被配置成通过第一传输模块从服务器中接收试卷信息，通过显示模块显示试卷，基于输入模块接收用户的答题，并再通过第一传输模块将答题传输至服务器；
    服务器包括：
    知识点存储模块，存储每一个用户专属的知识点结构，其中知识点结构包括知识点的分类、标签、关系和内容；
    第二传输模块，用于和网络终端之间传输数据；
    服务器处理器模块，被配置成基于知识点存储模块中所存储的每一个用户专属的知识点结构形成个性化的试卷，并通过第二传输模块将试卷传输至网络终端，接收来自网络终端的答题，并基于答题结果对用户的学习进行评估。
  2. 根据权利要求1所述的个性化的嵌入式考试装置，其特征在于，服务器处理模块中包括：
    学习过程出题单元，针对每个用户的学习过程形成个性化的试卷，试卷内容仅覆盖对应用户已经学习过的知识点。
  3. 根据权利要求1所述的个性化的嵌入式考试装置，其特征在于，服务器处理模块中包括：
    知识点结构出题单元，针对每个用户自己建构的知识点结构形成个性化的试卷，试卷内容仅覆盖对应用户自己建构过的知识点结构。
  4. 根据权利要求1所述的个性化的嵌入式考试装置，其特征在于，服务器处理模块中包括：
    时间顺序出题单元，针对用户对不同知识点的学习时间的先后形成个性化的试卷，其中对学习时间早于预设值的知识点，考察用户对其的理解程度，对学习时间晚于预设值的知识点，考察用户对其的记忆程度。
  5. 根据权利要求1所述的个性化的嵌入式考试装置，其特征在于，服务器处理器模块还被配置成在用户的学习过程中进行试卷出题和过程评估或者在用户学习完成后进行试卷出题和过程评估。
  6. 根据权利要求1所述的个性化的嵌入式考试装置，其特征在于，服务器处理模块还被配置成在用户冷启动时、用户自测时、或者外部评估时进行试卷出题和评估。
  7. 根据权利要求1所述的个性化的嵌入式考试装置，其特征在于，服务器处理器模块还包括：
    出题方式设置单元，将试题设置成对知识点结构的考察或者对知识点内容的考察。
  8. 根据权利要求1所述的个性化的嵌入式考试装置，其特征在于，出题方式设置单元还能够将试题设置成对知识点结构或知识点内容的理解程度的考察或者对知识点结构或知识点内容的记忆程度的考察。
  9. 根据权利要求1所述的个性化的嵌入式考试装置，其特征在于，服务器处理模块中还包括：
    评估单元，基于所形成的试卷的难度设置一个权重系数，综合用户对应的试卷的答题结果以及试卷难度对应的权重系数形成评估结果。
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