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WO2014025175A1 - Procédé de recommandation de livres électroniques à l'aide d'un plan d'études - Google Patents

Procédé de recommandation de livres électroniques à l'aide d'un plan d'études Download PDF

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Publication number
WO2014025175A1
WO2014025175A1 PCT/KR2013/007042 KR2013007042W WO2014025175A1 WO 2014025175 A1 WO2014025175 A1 WO 2014025175A1 KR 2013007042 W KR2013007042 W KR 2013007042W WO 2014025175 A1 WO2014025175 A1 WO 2014025175A1
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WO
WIPO (PCT)
Prior art keywords
learning
knowledge
electronic
server
books
Prior art date
Application number
PCT/KR2013/007042
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English (en)
Korean (ko)
Inventor
지승환
Original Assignee
Ji Seung Hwan
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ji Seung Hwan filed Critical Ji Seung Hwan
Publication of WO2014025175A1 publication Critical patent/WO2014025175A1/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
    • 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

Definitions

  • the present invention relates to a method of generating a learning plan according to a learning target, a pre-learning level, a learning attitude, and a tendency for each learner, and recommending an electronic book necessary for learning according to the learning plan based on the learning plan.
  • the buyer will search using the title. If the book is a bestseller, a recommended book, or at least a demographic title, then the buyer will search using the title.
  • the other is to search for the books you need through keyword input.
  • the buyer must choose a book with only a very limited amount of information, such as a brief review of the books returned in the search results, an introduction, and a table of contents. If the book has enough information for him or her, If there is no content, or if there is missing content, it is up to the purchaser to decide which book should be supplemented.
  • the present invention has been made to solve the problems of the related art, and it is an object of the present invention to create a learning plan that meets the learning objectives of a learner by making use of features of electronic books that are easy to process and analyze, I would like to suggest a way to recommend books of the type.
  • a method of recommending an electronic book using a learning plan the method being implemented in a server connected to a learner terminal through a network,
  • Step 110 in which the server 10 receives learning objectives of a learner from the learner terminal 20;
  • a computer-readable medium having embodied thereon, the method comprising: generating a learning plan by sequentially connecting knowledge units belonging to the acquired learning path; And
  • the learner terminal 20 selects one of the lists of electronic books 1 so that the learner terminal 20 allows the electronic book server 1 to purchase or rent the book 1 of the selected electronic form, (150); And
  • the electronic book server (30) collects and stores information on the electronic book (1) and information on purchase or rental conditions when the electronic book (1) is purchased or rented
  • the method comprising the steps of:
  • a learner can know precisely which electronic book to purchase in order to satisfy a learning plan which is necessary among oneself in many electronic books.
  • 1 is a diagram for explaining a connection relationship between a server, an electronic book server, and a learner terminal,
  • FIG. 2 is a conceptual diagram illustrating a knowledge system in which a plurality of knowledge units are connected in a graph structure according to mutual relations,
  • FIG. 3 is a diagram showing a result of performing analysis on a plurality of knowledge units for generating a knowledge system
  • FIG. 4 is a reference diagram for explaining a process of generating a learning plan by extracting a part of a path in a knowledge system according to a user's interest, learning level,
  • FIG. 5 is a diagram illustrating a result of mapping a plurality of electronic books to a knowledge system
  • FIG. 6 is a conceptual diagram illustrating the generation of a learning plan by extracting a part of a path in a knowledge system according to a user's interest, learning level, and learning goal,
  • FIG. 7 is a reference view illustrating a recommendation of an electronic book conforming to a learning plan
  • FIG. 8 is a flowchart illustrating an electronic book recommendation method using a learning plan according to the present invention.
  • the components named as “means”, “parts”, “modules”, “blocks” refer to units that process at least one function or operation, Each of which may be implemented by software or hardware, or a combination thereof.
  • the server 10 is connected to a plurality of learner terminals 20 via a network.
  • the network may preferably be an Internet network, and the learner terminal 20 can access the server 10 via the network as means for reproducing and displaying the electronic book 1.
  • the form of the learner terminal 20 may be a factor of a conventional technology such as a personal computer, a smart phone, or a tablet, or a new type of electronic book 1 expected to emerge in the near future, such as a digital textbook, It may be a dedicated terminal for playing back music.
  • the electronic book server 30 stores electronic books 1 and provides them to the server 10 or the learner terminal 20 via a network.
  • the electronic book server 30 may be in the form of an electronic library or an Internet bookstore with a database of electronic books.
  • the learner can purchase or rent books (1) in an electronic form by accessing the electronic book server (30) using his or her learner terminal (20).
  • the server 10 generates and stores a knowledge system and obtains and analyzes an electronic book 1 such as an e-book from the electronic book server 30.
  • the server 10 includes a plurality of learner terminals 20, Such as the learner's interest or learning level.
  • the server 10 guides the learner to connect to the server 30 using the learner terminal 20 and to lend or purchase electronic books as described later.
  • the electronic book recommendation method using the learning plan according to the present invention can be executed in the server 10 like this.
  • Electronic book (1) refers to data that can be copied through a network, recorded on a recording medium such as a flash memory or a DVD, and combined with text, images and multimedia contents according to a predetermined order or table of contents do.
  • Such an electronic book 1 can be reproduced in the learner terminal 20 in such a manner that all or at least a part of the contents contained in the server 1 in electronic form is downloaded to the learner terminal 20 or stored locally Can be reproduced.
  • some of the contents included in the server 1 in electronic form may be provided in real time in an online state connected to a separate server 30 that hosts the contents in some cases.
  • Such an electronic book 1 is organically combined with a plurality of learning contents in an inseparable form.
  • the reason why the content is combined in a non-separable form is that it is encoded as a whole even if it is authored using the files stored in units of pages, or that the content can not be divided and distributed and copied Means means are taken.
  • Such an electronic book 1 may not only include an existing e-book but may also include other advanced forms of the book if it satisfies the above definition.
  • the "knowledge system” is a structure that defines the relationship of multiple knowledge units on a subject by topic. Knowledge units belonging to each knowledge system can be expressed in a graphical structure according to their relations.
  • Fig. 2 illustrates a knowledge system on the theme of " JAVA programming ".
  • a plurality of knowledge units are nodes, and an edge connecting each node represents a relationship between nodes on both sides of the edge.
  • Java Web Programming Fundamentals "," Java Fundamentals “,” JSP Fundamentals “,” Java Web Programming beginnerer “,” Java Grammar Beginner “,” Database beginnerer “,” MVC pattern " and " Servlet " form nodes.
  • the relationship between knowledge units is divided into posterior relations, inclusion relations, and equivalence relations.
  • a posterior relationship refers to a relationship in which one of two arbitrary knowledge units precedes another one, such as when a preliminary learning is required for another knowledge unit in order to learn one knowledge unit.
  • base The edges connecting them are denoted as "base”, which means a posterior relationship.
  • Java Web Programming beginner and “ Java Script Basic” may be equivalence relations that are mutually interchangeable because they are composed of learning contents with difficulty and difficulty.
  • the knowledge system thus represents the connection of knowledge units in relation to a particular topic, and preferably can be expressed in a graphical structure.
  • the knowledge system shown in FIG. 2 may further include a learning path factor in addition to the nodes indicating the knowledge units and the edges indicating the connection relationship therebetween.
  • the learning path factor is a node that exists at the top of the knowledge system (ie, has only child nodes in the graph structure, does not have a parent node), and defines at least some characteristics of the learning path from the lowest node to the corresponding node.
  • the paths of knowledge units are each a learning plan to be “advanced developer”, a learning plan to become “architect”, and a learning plan to become “intermediate developer”.
  • the learning path factor defines a part of the path that is not all of the path
  • the knowledge units corresponding to a part of the path may be included in the learning plan.
  • This learning path factor can be divided into several types in terms of content.
  • each knowledge unit of the path from the lowest node of the knowledge system to the learning path factor as shown in FIG. 2 should be learned.
  • a variety of "learning activities” can be displayed in the knowledge system as shown in FIG. 2, and the paths leading to the learning activities in the knowledge system can be created using Java as "bulletin boards”, “guestbooks” And the contents to be learned by the learner.
  • the path from the knowledge system to the corresponding "credential" describes what the learner needs to learn in order to obtain the qualification.
  • a “knowledge unit” is a unit of learning content that corresponds to a node in the knowledge system and corresponds to a sub-topic related to a specific topic.
  • FIG. 3 is a chart for analyzing a plurality of knowledge units for generation of a knowledge system.
  • the name and keyword of a unit of knowledge can be derived from the table of contents of a book (in this case, including books in classical form) related to the subject, and the content can be described by summarizing the contents of the corresponding section of the book.
  • Levels are information that can be added to determine whether the level is appropriate for the learner's level of learning, and the type corresponds to information that can be added to determine whether it is appropriate for the learner's learning objectives.
  • learning unit is a basic unit of learning contents included in each individual knowledge unit. These units of learning do not appear repeatedly in works related to the subject.
  • a learning unit means learning contents included in a knowledge unit and does not repeatedly appear in works related to the subject, and thus does not occupy the position of a node in the knowledge system.
  • mapping means a process of dividing the table of contents of an electronic book (1) into a plurality of knowledge units and selecting a corresponding one of the knowledge units belonging to the previously generated knowledge system for each knowledge unit.
  • learning contents is used in the present invention.
  • learning contents is used as a generic term for data produced in the form of text or image or other multimedia created for learning purposes. It shall not be used as a term for the corresponding level.
  • FIG. 4 is a diagram for explaining a process of extracting a part of a path in a knowledge system according to a user's interest, a learning level, and a learning goal,
  • the electronic book recommendation method using the learning plan according to the present invention corresponds to a part of the whole process shown in FIG.
  • a knowledge unit is generated through the process illustrated in FIGS. 2 and 3, and a knowledge system is established by establishing the relationship between the generated knowledge units .
  • a learning plan is created using the knowledge system as shown in FIG. 4 (d).
  • the learner enters into learning by selecting one or more electronic books (1) necessary for him / herself in the recommended number of electronic books (1) and reading them in an integrated form.
  • the electronic book recommendation method using the learning plan according to the present invention corresponds to a process of generating a learning plan for the learner in FIGS. 4 (d) and 4 (e) and selecting electronic books conforming to the learning plan.
  • FIG. 5 is a diagram illustrating a result of mapping a plurality of electronic books to a knowledge system.
  • FIG. 6 illustrates an example in which a learning plan is generated by extracting a part of a path in a knowledge system according to a user's interest, learning level,
  • FIG. 7 is a reference diagram illustrating a recommendation of an electronic book conforming to a learning plan.
  • FIG. 8 is a flowchart illustrating an electronic book recommendation method using a learning plan according to the present invention.
  • the learner accesses the server 10 using his or her own learner terminal 20 and then directly inputs information such as his or her own learning goal, precedent learning level, learning attitude or inclinations, Collect through the path.
  • the server 10 receives the learner's learning goal from the learner terminal 20 as shown in FIG. 8 (S110). At this time, information such as prior learning level, learning attitude, and inclination can be further provided.
  • Java Advanced Developer For example, “Java Advanced Developer”, “SCJP Certification”, and “Java Boarding Coding” are examples of learning goals that students want to learn.
  • the level of precedent learning refers to the degree to which a learner is learning in relation to the learning objective.
  • the level of "Java Web Programming beginnerer" or the level of learning through the learner's LMS Information can be deduced from the information.
  • the server 10 acquires a learning path corresponding to the learning target from the knowledge system as shown in FIG. 2 (S120).
  • the knowledge system can be represented by a graph structure in which a knowledge unit becomes a node and an association between each knowledge unit (if any) is an edge.
  • a knowledge unit becomes a node and an association between each knowledge unit (if any) is an edge.
  • (That is, a node in which the parent node does not exist) which is a node that defines the nature of the learning path from the lowest node to the corresponding node.
  • the server 10 selects a learning path factor corresponding to the provided learning objective.
  • the server 10 determines a path from the lowermost end of the graph to the learning path factor.
  • a learning plan is created by sequentially connecting the knowledge units belonging to the determined path (S130).
  • the learning plan thus generated is provided to the learner terminal 20, and can be displayed on the screen as illustrated in FIG. 6 (b).
  • the server 10 selects books corresponding to the generated learning plan among a plurality of electronic books 1 matched in advance to the knowledge system (S140) .
  • the server 10 may select books 1 in electronic form corresponding to the learning plan for each knowledge unit and quantify whether the electronic book 1 matches more with each knowledge unit.
  • the pre-learning level, learning attitude, and inclination of the provided learner can be considered in determining the degree of conformity. That is, these pieces of information can be further used as a variable in the algorithm for determining the matching degree.
  • the server 10 When a plurality of electronic books 1 matched in advance to the knowledge system are selected in accordance with the learning plan, the server 10 provides the list to the learner terminal 20, Let it be displayed together.
  • the server 10 further provides, to the learner terminal 20, whether or not each item of the book (1) list of each electronic form matches each knowledge unit belonging to the learning plan, To be displayed on the screen as illustrated.
  • the learner looks at his / her own learning plan generated as illustrated in FIG. 7, and observes the correspondence and conformity of each of the list items of one or more electronic books conforming to the learning plan and each of the knowledge units belonging to the learning plan, (Or to borrow) the book (1) of the type.
  • FIG. 7 exemplifies the recommendation of two electronic books (1), a plurality of electronic books (1) may be recommended.
  • the learner will decide whether to purchase (or rent) the books (1) of two or more electronic forms or purchase .
  • the server 10 acquires the two or more electronic forms Or the degree of redundancy of the books 1 of the present invention is displayed on the screen as illustrated in FIG.
  • the electronic book 1 can be selected in a manner such as clicking or touching the electronic book 1 decided to purchase or rent from among the list of electronic books 1 displayed on the screen of the learner terminal 20.
  • the server (10) transmits the link (1) of the electronic book server (30) to the learner terminal (20) (S150).
  • the learner terminal 20 moves to a location (for example, a web page) on the network for purchasing or renting provided by the electronic book server 30 along the provided link, 1).
  • the server 10 purchases or rents the book 1 of the selected electronic form at a position on the network corresponding to the link of the provided electronic book server 30, 1) and information on purchase or rental conditions are collected and stored (S160).
  • the server 10 can serve as a portal for purchasing or renting the electronic book 1.
  • a list of a plurality of electronic books 1 matched to the knowledge system is provided, and the learners who are wondering which electronic book 1 is required when learning according to a predetermined learning goal And provides a list of two or more electronic forms of books (1) that match the learning plan, as well as providing an appropriate learning plan.
  • the electronic book server 30 which sells or lends the book 1 of the corresponding electronic form is moved to a predetermined procedure for purchasing or renting.
  • the server (10) When purchasing or renting an electronic book (1) through the server (10), the server (10) arranges the sale according to the agreement with the respective electronic book servers (30) You will be able to claim a price.
  • the server 10 creates a knowledge unit from the table of contents of the works related to the specific subject collected.
  • works related to a specific subject include not only books in electronic form such as this book, but also books in classical form.
  • the table of contents data can be fetched and parsed and then analyzed by a predetermined algorithm. Even in the case of a classic book, an operator converts the table of contents into an image file, It can be analyzed by an algorithm.
  • the table of contents (or table of contents) of the corresponding work itself can be used as the name of the knowledge unit.
  • the classification of the book for example, “Java programming”, “ Quot ;, “ Java grammar "), difficulty levels (e.g., “basic”, “beginner”, “intermediate"), and types (eg, "textbooks”, “credentials”, "
  • the operator may supplement the knowledge units generated by the server 10, if necessary, to be more precise and accurate as illustrated in FIG.
  • the server 10 determines the relationship between the generated knowledge units using the table of contents of the previously collected works with respect to each topic.
  • any one knowledge unit includes another knowledge unit.
  • the server 10 may generate the graph structure having the generated knowledge unit as a node and the relationship between the knowledge units as an edge as illustrated in FIG.
  • the generated graph structure corresponds to the knowledge system.
  • the knowledge system is a node existing at the top of the knowledge system.
  • the knowledge system further includes a learning path factor, which is a node that defines the nature of the learning path from the lowest node to the corresponding node. We analyze the commonality of the knowledge units belonging to the path from the lowest node to the remaining nodes in the generated graph structure.
  • the top node of the path (in this case, the top node is only the top node on a particular path, You can create a node to set a learning path factor with a name / attribute called " credential ".
  • the knowledge system can be established mainly on learning contents related to learning.
  • the server 10 analyzes the electronic book (1) obtained through the network, extracts knowledge units, and maps the knowledge units to the established knowledge system.
  • the server 10 reads the table of contents of the electronic book 1 and extracts keywords for each item of the table of contents.
  • the server 10 maps the plurality of knowledge units belonging to the predefined knowledge system by determining the correspondence among the table of contents items of the electronic book (1) using the extracted keyword.
  • FIG. 5 is a diagram showing a result of the mapping performed through the above process.
  • O means that it is correctly mapped to a specific knowledge unit of the knowledge system
  • the part marked with a ⁇ means that the mapping is performed as a result of mapping by the algorithm but the accuracy is lower than a predetermined value.
  • a portion without any indication means no mapping.
  • the server 10 can reconstitute the table of contents of each electronic book 1 in the form of sequentially connected mapped knowledge units .
  • the table of contents of electronic book (1) can be stored separately as "Java Web Programming Fundamentals” -> "JSP Fundamentals” -> “JSP Web Programming beginnerer” -> “JSP Web Programming Intermediate” ,
  • the table of contents of the second electronic book (1) can be stored separately as "JSP Basic Knowledge” -> “Java Web Programming Intermediate” -> “Java Web Programming Advanced”.
  • mapping result is utilized in selecting an electronic book (1) conforming to the learning plan selected in step S140.
  • the electronic book recommendation method using the learning plan according to the present invention can be embodied as computer-readable code and recorded in a computer-readable recording medium.
  • the computer-readable recording medium may include any type of medium in which data readable by a computer system is stored. Examples of the medium include a DVD-ROM, a CD-ROM, a hard disk, a USB memory, a flash memory And the like.
  • the expression to be recorded on the recording medium encompasses not only a case where a large amount is recorded on a recording medium, a case where it is distributed in the form of a package, a case where it is provided on a recording medium through a network in the form of a data packet.
  • the present invention can be applied to a learning technology field using an electronic form medium.

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Abstract

L'invention concerne un procédé de recommandation de livres électroniques à l'aide d'un plan d'études. Selon la présente invention, après qu'un serveur rassemble les objectifs d'études d'un étudiant, des relations entre des unités de connaissances, qui sont des unités de contenu d'études apparaissant de manière répétée en ce qui concerne un certain sujet, sont utilisées pour obtenir des chemins d'études (correspondant aux objectifs d'études rassemblés) d'un corps de connaissances qui est une structure définie, et des unités correspondantes sont déterminées parmi une pluralité d'unités de connaissances appartenant au corps de connaissances pour chaque catégorie des tables de matières de la pluralité de livres en format électronique en ce qui concerne les mêmes sujets dans le corps de connaissances, de façon à sélectionner et à recommander un ou plusieurs livres en format électronique qui sont conformes au plan d'études par utilisation des résultats mis en correspondance.
PCT/KR2013/007042 2012-08-06 2013-08-05 Procédé de recommandation de livres électroniques à l'aide d'un plan d'études WO2014025175A1 (fr)

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KR10-2012-0085594 2012-08-06

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