WO2017028272A1 - 早教系统 - Google Patents

早教系统 Download PDF

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WO2017028272A1
WO2017028272A1 PCT/CN2015/087492 CN2015087492W WO2017028272A1 WO 2017028272 A1 WO2017028272 A1 WO 2017028272A1 CN 2015087492 W CN2015087492 W CN 2015087492W WO 2017028272 A1 WO2017028272 A1 WO 2017028272A1
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baby
content
early education
module
teaching
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李仁涛
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李仁涛
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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
    • 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
    • G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student

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  • the present invention relates to the field of digital signal processing techniques, and more particularly to a personalized early education system.
  • Data mining is a new technology for discovering and extracting useful information hidden in a data warehouse. It can extract potential and valuable knowledge, models or rules from a large amount of data.
  • the knowledge of the ocean is based on the growth trend of talents, recommending the existing knowledge of the school, and predicting the future teaching plans of the school.
  • the four elements of personalized education defined by the International Association for Personalized Education are: (1) the premise of individualization, the entry point of personalized education; (2) the goal of individualization, early education teachers or parents can correctly determine the growth of children Next goal; (3) Process personalization, what to learn and learn every day; (4) Personalize the results, and differentiate the results of each child's learning at each stage. If you can let a preschool baby from 0 to 6 years old get a complete personalized and heuristic education in 6 years, you can achieve personalized potential development and maximize the creative ability of baby. And so many sexualizations bring about a huge workload. Early teachers and parents objectively cannot achieve such a strong workload with human resources, and thus cannot realize the scale and industrialization of personalized education.
  • the present invention provides an early education system to solve the above technical problems.
  • An embodiment of the present invention provides an early education system, comprising: a somatosensory capture module, configured to capture and monitor a limb movement of a baby of 0 to 2 years old according to a user command, and analyze and identify a limb movement of the infant; voice collection a module for collecting sounds of children aged 3 to 4 according to user commands, and recognizing the sound of the baby through voice recognition technology; a graphic acquisition module for collecting paintings of children aged 5-6 years according to user commands, and Identifying the thinking of the baby through graphic recognition technology; text content acquisition module, for Collecting written words of children aged 5-6 years, analyzing the thinking of the baby through semantic analysis technology; intelligent analysis and identification module for comparing the collected data with the corresponding database to match various types of lesson plans, and according to the The type of lesson plan is used for cross-media relevance recommendation and retrieval.
  • the technical solution provided by the invention solves the "personalization of the purpose” of the personalized education by capturing the data of the behavior (physical aspect) and the thinking (spirit aspect) of the baby through the intelligent analysis technology.
  • This program allows the early education teacher to truly realize the "personalized” counseling work that the original manpower could not.
  • This early education program allows preschoolers aged 0-6 to receive personalized, heuristic education every week for the full 6 years. Because of what you do, you can cultivate the habit of learning how to love your baby.
  • the program developed the body language, facial features, image thinking and writing thinking ability of the baby, not only the simultaneous development of the left and right brains, but also the simultaneous development of physical strength and intelligence, so the personalization of the baby is achieved. Potential development to maximize the creative ability of baby boys.
  • FIG. 1 is a schematic structural diagram of a personalized early education system according to an embodiment of the present invention.
  • the system includes: a somatosensory capture module, a voice capture module 2, a graphics capture module 3, a text content collection module 4, an interactive display screen 5, an intelligent analysis and recognition module 6, a content filtering classification module 7, and an infant.
  • a somatosensory capture module a voice capture module 2
  • a graphics capture module 3 a text content collection module 4
  • an interactive display screen a text content collection module 4
  • an interactive display screen a text content collection module 4
  • an interactive display screen 5 an intelligent analysis and recognition module 6
  • a content filtering classification module 7 an infant.
  • Tongxi good talent database 8 baby behavior database 9
  • teaching content knowledge base 10 offline teaching content source 11
  • digital library 12 online content 13 through and children (represented by 14, 16) and experts (Represented by 15, 17) interactive use.
  • the somatosensory capture module 1 interacts with the baby according to the movement of the baby, through intelligence.
  • the analysis and recognition module 6 analyzes and identifies the physical movements of the baby, and the database of the baby behavior Matching, supplementing and modifying the baby's favorite talent database 8, and then transferring the teaching content from the lesson content knowledge base 10 or the educational and entertaining game is presented to the baby through 5, and the baby can generate other content while receiving the content.
  • the behavior of the action, the system according to the above process to generate the corresponding lesson plans, the teaching plan can be multimedia animation, children's songs, games, calligraphy, video and so on.
  • the system interacts with the baby through the voice collection module 2 according to the pronunciation of the baby, and the sound of the baby is performed by the intelligent analysis and recognition module 6. Identification, matching with the baby behavior database 9, supplementing and modifying the baby's favorite talent database 8, and then presenting the matching lesson content from the lesson content knowledge base 10 to the baby through 5, the baby can receive the content at the same time
  • the system generates corresponding teaching plans according to the above process.
  • the teaching plans can be multimedia animation, children's songs, games, calligraphy, video, and so on.
  • the system develops conditioned reflexes by training the pronunciation of the baby, and controls what he/she wants.
  • the system uses the graphic acquisition module 3 and the text content collection module 4 to write and draw according to the baby, and the baby.
  • Child interaction through the intelligent analysis and recognition module 6 for the baby's text and painting, through semantic analysis and graphic recognition technology, to understand the baby's thinking, match the baby behavior database 9 to supplement the baby's favorite talent database 8
  • teaching content similar to the semantics is presented to the baby through 5, and the baby can write other characters and draw other paintings while receiving the content, and the system generates corresponding corresponding according to the above process.
  • Teaching plans, teaching plans can be multimedia animation, children's songs, games, calligraphy, video and so on.
  • the system forms a conditioned reflex by training the baby's textual expression and graphic expression to control what he/she wants.
  • the expert 15 manually analyzes and maintains the baby preferences and talent database, and obtains an analysis report of the corrections for each baby in the cycle.
  • the content of the lesson plans comes from online and offline content sources, including various useful knowledge on the line.13.
  • the system Due to the diversified content sources, the system performs content filtering on multiple data sources through the content filtering classification module 7 and performs automatic classification based on subject tracking according to infant behavior and talent preferences.
  • Baby-friendly talent database 8 can automatically group children with similar preferences and talents, let them (represented by 14, 16) interact through the Internet.
  • the intelligent analysis and recognition module 6 personalizes and recommends the teaching contents of different media. Due to the teaching plan The content comes from different media, such as video, children's songs, animation, e-books and other different media.
  • the intelligent analysis and recognition module mines the typical correlation between different modes based on the typical correlation analysis CCA method, so as to achieve the cross-media intelligent relevance. Recommend and retrieve.
  • the above preschool interaction process can also overlap over the age range.
  • a 3-year-old baby can also use the body control that was originally given to the 02-year-old baby, or the 4-year-old child can also use the writing control.
  • the current early education system mainly has the following types.
  • Card machine The system uses a fixed set of cards to allow the baby to insert the card into the slot, and the machine then sounds or presents the lesson content.
  • This type of early education system does not interact with the baby in real time, and there is no intelligent analysis background, so that the baby's preferences and talents cannot be discovered. With the baby card, you can't teach according to your aptitude.
  • Point reading machine This type of early education machine is to place the teaching materials on a panel of appropriate size, and the position of each learned content is marked by position. When reading a certain position in the pen point, the coordinate signal of the position is transmitted to the host computer. The host matches the content of the textbook corresponding to the location according to the location coordinates, and educates through the computer voice.
  • This kind of early education machine is based on a fixed set of teaching materials. All the infants and children follow the position of this set of teaching materials, and there is no teaching according to their aptitude.
  • the method does not analyze the child's thinking, so that the baby's preferences and talents are not tapped, and it is not a personalized and heuristic education.
  • the early education machine belongs to the category of exam-oriented education, which is different from the orientation of heuristic, fostering creativity and creative thinking pursued by personalized education.

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Abstract

一种早教系统，其涉及数字信号处理技术领域，该系统包括：体感捕捉模块（1）、语音采集模块（2）、图形采集模块（3）、文字内容采集模块（4）、互动显示屏（5）、智能分析识别模块（6）、内容过滤分类模块（7）、婴童喜好天赋数据库（8）、婴童行为数据库（9）、教案内容知识库（10）、线下教案内容源（11）、数字图书馆（12）、线上内容（13）。所述早教系统可以通过捕捉婴童的行为即肢体方面和思维即精神方面的数据，通过智能分析技术，将投其所好的教案内容与婴童交互，形成精准的知识传递，让0-6岁的学前婴童能在6年中得到完整地个性化、启发式教育，达到个性化潜能开发，最大化地培育婴童的创造性能力。

Description

早教系统 技术领域
本发明涉及数字信号处理技术领域，更具体地说，涉及一种个性化的早教系统。
背景技术
数据挖掘是从数据仓库中发现并提取隐藏在其中的有用信息的一种新技术，它可以从大量的数据中抽取出潜在的、有价值的知识、模型或规则，有助于婴童在茫茫的知识海洋中发掘依据天赋的成长趋势，推荐已有的该学的知识，预测未来该学的教案。但是，对个性化早教领域中的“目的个性化”、“过程个性化”、“结果个性化”和“前提个性化”要求，目前没有直接对应的数据挖掘系统。
国际个性化教育协会定义的个性化教育的四大要素是：(1)前提个性化，得到个性化的教育的切入点；(2)目标个性化，早教老师或家长能够正确地确定孩子成长的下一个目标；(3)过程个性化，每天都该学习什么、怎么学；(4)结果个性化，每个孩子在每个阶段学习的结果的差异化。如果能让0～6岁的学前婴童能在6年中得到完整地个性化、启发式教育，就能达到个性化潜能开发，最大化地培育婴童的创造性能力。而这么多个性化带来的是巨大的工作量，早教老师和家长客观上以人力根本无法实现这么强大的工作负担，从而也就无法实现个性化教育的规模化和产业化。
发明内容
有鉴于此，本发明提供一种早教系统，以解决上述技术问题。
本发明一实施例提供一种早教系统，包括：体感捕捉模块，用于根据用户命令，捕捉和监控0～2岁的婴童的肢体动作，并对婴童的肢体动作进行分析识别；语音采集模块，用于根据用户命令，采集3～4岁儿童的声音，并通过语音识别技术对婴童的声音进行识别；图形采集模块，用于根据用户命令，采集5～6岁儿童的绘画，并通过图形识别技术识别婴童的思维；文字内容采集模块，用于 采集5～6岁儿童的书写文字，通过语义分析技术分析婴童的思维；智能分析识别模块，用于将采集的数据与对应的数据库进行比较，以匹配各种类别的教案，以及根据所述教案类型进行跨媒体的关联性推荐和检索。
本发明提供的技术方案通过捕捉婴童的行为(肢体方面)和思维(精神方面)数据，通过智能分析技术，投其所好地进行知识传递，解决个性化教育的“目的个性化”、“过程个性化”、“结果个性化”和“前提个性化”。该方案让早教老师真正实现原来人力不能及的“个性化”的辅导工作。该早教方案让0-6岁的学前婴童能在完整的6年中每周都得到个性化、启发式教育。因为投其所好，就能培养婴童爱学习的习惯。同时，该方案开发了婴童的肢体语言、五官交互能力、图像思维和文字思维能力，不仅仅是左脑和右脑的同步开发，也是体力和智力的同步开发，所以达到婴童的个性化潜能开发，最大化地培育婴童的创造性能力。
附图说明
图1为本发明实施例提供的一种个性化的早教系统结构示意图。
具体实施方式
下面详细描述本发明的实施例，所述实施例的示例在附图中示出，其中自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的，仅用于解释本发明，而不能解释为对本发明的限制。
首先，对本发明提供的一种个性化的早教系统进行说明。参照图1所示，所述系统包括：体感捕捉模块1、语音采集模块2、图形采集模块3、文字内容采集模块4、互动显示屏5、智能分析识别模块6、内容过滤分类模块7、婴童喜好天赋数据库8、婴童行为数据库9、教案内容知识库10、线下教案内容源11、数字图书馆12、线上内容13，通过和婴童们(由14、16表示)和专家们(由15、17表示)交互使用。
对于0～2岁的婴童，由于婴儿尚未具备发音、书写和画画的能力，着重在捕捉和监控婴童的身体行为，体感捕捉模块1根据婴童的动作，与婴童交互，通过智能分析识别模块6对婴童的肢体动作进行分析识别，与婴童行为数据库 进行匹配，补充修正该婴童的喜好天赋数据库8，然后从教案内容知识库10中调取教案内容或者寓教于乐的游戏通过5呈现给婴童，婴童在接收内容的同时可以产生其它的行为动作，系统按以上的流程产生对应的教案，教案可以是多媒体的动漫、儿歌、游戏、书法、视频等。系统通过训练婴童的肢体动作，也可以形成条件反射，婴童可以控制得到他想要的内容。
对于3～4岁的儿童，由于儿童具备发音的能力，着重在捕捉其发音，系统通过语音采集模块2根据婴童的发音，与婴童交互，通过智能分析识别模块6对婴童的声音进行识别，与婴童行为数据库9进行匹配，补充修正该婴童的喜好天赋数据库8，然后从教案内容知识库10中将匹配的教案内容通过5呈现给婴童，婴童在接收内容的同时可以产生其它的发音，系统按以上的流程产生对应的教案，教案可以是多媒体的动漫、儿歌、游戏、书法、视频等。系统通过训练婴童的发音，形成条件反射，控制得到他/她想要的内容。
对于5～6岁的儿童，由于儿童具备书写和绘画的能力，着重在捕捉其文字和画(涂鸦)，系统通过图形采集模块3和文字内容采集模块4根据婴童的书写和绘画，与婴童交互，通过智能分析识别模块6对婴童的文字和绘画，通过语义分析和图形识别技术，了解婴童的思维，与婴童行为数据库9进行匹配，补充修正该婴童的喜好天赋数据库8，然后从教案内容知识库10中，将与语义类似的教案内容通过5呈现给婴童，婴童在接收内容的同时可以书写其它的文字、描绘其它的画，系统按以上的流程产生对应的教案，教案可以是多媒体的动漫、儿歌、游戏、书法、视频等。系统通过训练婴童的文字表达和图形表达，形成条件反射，控制得到他/她想要的内容。
在每个个性化教育周期内，专家15会对婴童喜好与天赋数据库进行人工分析和维护，并对每个婴童得出该周期内修正的分析报告。
教案的内容来自于线上和线下的内容源，包括线上的各种有益的知识13、线下合作的各种教案11以及数字图书馆内馆藏的各种有益于婴童学习的知识12。由于内容来源多元，系统通过内容过滤分类模块7对多数据源进行内容过滤和根据婴童行为、天赋喜好进行基于主题追踪的自动分类。
婴童喜好天赋数据库8可以把具有类似喜好和天赋的婴童自动组成社区，让他们(由14、16代表)通过互联网产生互动。
智能分析识别模块6对不同媒体的教案内容进行个性化推荐。由于教案内 容来自于不同的媒体，例如视频、儿歌、动漫、电子书等不同的媒体，智能分析识别模块基于典型相关分析CCA方法挖掘不同模态之间的典型相关性，从而达到跨媒体的智能关联性推荐和检索。
以上学前交互流程也可以在年龄段上重叠。比如一位3岁的婴童，也可以使用原本着重给予02岁婴童的体感控制，或者4岁的儿童也可以使用书写控制。
同现有的早教技术相比，目前的早教系统主要有以下几种类型。
(1)卡片机。该系统通过固定的一套卡片，让婴童将卡片插入插槽，机器随即发出声音或者呈现教案内容。这类早教系统没有和婴童进行实时交互，也没有智能分析后台，从而无法挖掘婴童的喜好和天赋。任凭婴童插卡，无法因材施教。
(2)类卡拉OK机。该系统通过一个类似卡拉OK的麦克风，让婴童歌唱，然后通过卡拉OK打分算法，给予分数。或者对着麦克风讲故事。这类早教机首先需要婴童握住一个麦克风的手握力和对准麦克风说话的能力，要求婴童在2岁以上甚至三岁以上。其二，长期手握麦克风唱歌会将婴童引向歌唱的方向，与教育和学习存在偏差。
(3)卡通外观的电脑。这类早教机本质上是无法进行复杂运算的配置比较低的电脑，内存有一些教案，通过类似一个软件的操作界面，进行内容的播放。该方法(装置)要求婴童至少具有操作按钮的能力。其二，该方法(装置)的程式比较固定，每个按钮基本对应固定的内容。不会根据婴童自身的喜好自动地个性化地变换内容。
(4)点读机。这类早教机是将教材固定放置在一个大小合适的面板上，每个学习的内容的位置都做了位置标记，当点读笔点中某一个位置时，该位置坐标信号传递到电脑主机，主机根据位置坐标匹配出该位置所对应教材的内容，通过电脑发声进行教育。这类早教机是根据固定的一套教材，所有的婴童都按照这一套教材点击位置，没有因材施教。其二，该方法(装置)也没有对儿童的思维进行分析，从而没有挖掘该婴童的喜好和天赋，不属于个性化、启发式教育。其三、该早教机是属于应试教育的范畴，与个性化教育追求的启发式、培育创意和创造型思维的定位不同。
基于以上的流程，通过挖掘婴童的肢体行为和脑力思维，实现了对0～6岁全程的婴童的个性化知识传递，达到了“目的个性化”、“过程个性化”、“结果 个性化”和“前提个性化”，同时大大开发了婴童的肢体语言、五官交互能力、图像思维和文字思维能力，不仅仅是左脑和右脑的同步开发，也是体力和智力的同步开发。
这么多个性化带来的是巨大的工作量，早教老师和家长客观上用人力无法实现这么强大的工作负担。通过该系统，就可以把早教老师和家长从这么繁重的工作中解脱出来。
以上所描述的系统实施例仅仅是示意性的，其中所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。本领域普通技术人员在不付出创造性劳动的情况下，即可以理解并实施。
以上所揭露的仅为本发明实施例中的较佳实施例而已，当然不能以此来限定本发明之权利范围，因此依本发明权利要求所作的等同变化，仍属本发明所涵盖的范围。

Claims (9)

  1. 一种早教系统，其特征在于，包括：
    体感捕捉模块，用于根据用户命令，捕捉和监控0～2岁的婴童的肢体动作，并对婴童的肢体动作进行分析识别；
    语音采集模块，用于根据用户命令，采集3～4岁儿童的声音，并通过语音识别技术对婴童的声音进行识别；
    图形采集模块，用于根据用户命令，采集5～6岁儿童的绘画，并通过图形识别技术识别婴童的思维；
    文字内容采集模块，用于采集5～6岁儿童的书写文字，通过语义分析技术分析婴童的思维；
    智能分析识别模块，用于将采集的数据与对应的数据库进行比较，以匹配各种类别的教案，以及根据所述教案类型进行跨媒体的关联性推荐和检索。
  2. 根据权利要求1所述的早教系统，进一步包括：
    互动显示屏，用于与婴童或者早教专家的视觉互动。
  3. 根据权利要求1所述的早教系统，进一步包括：内容过滤分类模块，用于对多源头的教案进行内容过滤和根据婴童行为、天赋喜好进行自动分类。
  4. 根据权利要求1所述的早教系统，其特征在于，所述智能分析识别模块预存有婴童喜好天赋数据库、婴童行为数据库、教案内容知识库、线下教案内容源、数字图书馆以及线上内容。
  5. 根据权利要求4所述的早教系统，其特征在于，所述婴童喜好天赋数据库积累、记录婴童平时的喜好和天赋；所述婴童行为数据库记录婴童的各种肢体行为的数据库；
    所述教案内容知识库是对学前婴童的教案的元知识和教案的总汇；
    所述线下教案内容源存放早教专家预先整理好的教案库；
    所述数字图书馆与各类数字图书馆馆藏教案库横向合作；
    所述线上内容是互联网上新鲜的实时内容。
  6. 根据权利要求4所述的早教系统，其特征在于，所述的智能分析识别模块还用于自动对非结构化信息进行抽取。
  7. 根据权利要求4所述的早教系统，其特征在于，所述的智能分析识别模块还用于关联信息搜索，所述关联信息搜索是对线上实时信息的搜索与线下数 据源的搜索并发，而且自动融合汇总。
  8. 根据权利要求1所述的早教系统，其特征在于，所述智能分析识别模块还用于根据所述婴童行为数据库，把具有喜好和天赋的婴童自动组成社区，且使得婴童通过互联网产生互动。
  9. 根据权利要求1所述的个性化早教系统，其特征在于，根据不同年龄段的婴童肢体、语音、书写、绘画，进行个性化教育的人机互动，所述个性化教育包括多个个性化教育周期，在每个个性化教育周期内，早教专家对婴童喜好与天赋进行人工分析和维护，并对每个婴童得出该周期内修整的分析报告。
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