JP2005321662A - Learning support system and method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a learning support technology capable of presenting teaching materials, learning items, etc., which are necessary for achieving the purposes of learning together with their dependence. <P>SOLUTION: A teaching material assignment input section 101 receives the data for assigning the target teaching materials from a user terminal 20. An associated teaching material data acquisition section 102 includes a comparison section 108, an output candidate tree memory section 109, a topological sort section 110, etc., specifies the teaching materials which are prerequisites for learning of the target teaching materials and specifies the sequence of learning, i.e. dependence thereof. An output section 103 presents the teaching materials necessary for learning the target teaching materials by lining up the teaching materials in order of the learning sequences. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a learning support technique for presenting a learning material or the like that needs to be learned as a premise for learning the learning material or the like when learning an intended learning material or learning item.

  In conventional electronic manuals and electronic teaching data, keyword search and full-text search have been used. However, in these environments, it is possible to output the electronic manual including the keyword given by the user or the electronic teaching material data as a search result with some ordering. It is not possible to give the user a link between the data and the data of the electronic teaching materials.

  Among the document data in the state of information flood, the most important point in the retrieval technology especially for electronic manuals and electronic teaching material data is to give the user the relationship.

  In the following, data and documents for the purpose or content of knowledge, including electronic manuals and electronic teaching material data, are sometimes referred to as teaching materials. The teaching materials include not only electronic data but also documents printed on paper media for the purpose or content of knowledge.

In addition, as patent documents related to the present invention, there is one that avoids duplicate utterances in a goal-oriented man-machine device to reach a goal (Patent Document 1), but there is any description about learning support. Absent.
Japanese Patent Application Laid-Open No. 07-210391

  The present invention has been made in consideration of the above circumstances, and provides a learning support technology that presents teaching materials, learning items, and the like necessary to achieve the learning purpose when the learning purpose is designated. The purpose is that.

  In the configuration example of the present invention, a single document data specified by a user is targeted, and a document data group having a premise relationship is recursively searched based on a premise concept given as metadata to the document data group and a learning concept. Then, document data groups that need to be referred to by the user can be presented in the order.

  With this configuration, it is possible to give a reference order to the user as a learner as a target in a search result for the electronic manual or the electronic teaching material data for the electronic manual or the electronic teaching material data. In addition, in order to learn difficult teaching materials, it has become possible to automate the process of manually retrieving document data groups manually using a dictionary, a glossary, and the like.

  The present invention will be further described.

  According to one aspect of the present invention, in order to achieve the above-described object, the learning support device includes: a learning material specifying unit for specifying a learning material; a learning item to be learned with the learning material for each learning material; Learning material information storage means for storing premise items as preconditions for learning of the learning material; other learning material information necessary for learning of the learning material specified by the learning teaching material specifying means as learning items Learning material information acquisition means for recursively executing a process of acquiring learning material information by recursively referring to the learning material information storage means; learning of the specified teaching material acquired by the learning material information acquisition means; Teaching material information output means for outputting the information of teaching materials necessary for the training is provided.

  The learning target is preferably held in the form of electronic data, but it may be printed on paper.

  In this configuration, it is possible to easily provide the learner with an optimal path for learning. By learning according to the path, you can complete the final purpose of learning without excess or deficiency.

  In this configuration, the teaching material information output means includes the teaching material information necessary for learning the specified teaching material so that the prerequisite items of the teaching material in the subsequent order are included in the learning items of the teaching material in the preceding order. It is preferable to output in order.

  The teaching materials may be handled in independent units, may be chapters, etc., or may be learning items such as learning themes and learning terms.

  The learning item and the prerequisite item are preferably selected from a predetermined keyword. In this way, it becomes easy to collect learning items to be learned with learning materials and precondition items that are preconditions for learning of learning materials, and content variation is reduced.

  The learning support device of the present invention further includes a learning history storage means for storing a learner's learning history, and the learning material information output means stores the learning material information necessary for learning the specified teaching material. It is preferable to output based on the history. In this case, based on the learning history, the learned material may be excluded from the materials necessary for learning the specified material, or the learned material may be displayed separately from other materials. Good. For example, learned materials may be displayed in gray. The display mode may be changed based on the degree and number of learning.

  The present invention can be realized not only as an apparatus or a system but also as a method. Of course, part of such an invention can be configured as software. Of course, software products used to cause a computer to execute such software are also included in the technical scope of the present invention.

  These and other aspects of the invention are set forth in the appended claims and will be described in detail below with reference to examples.

  According to the present invention, it is possible to present teaching materials, learning items, and the like necessary for achieving the learning purpose, together with their dependency relationships.

  Embodiments of the present invention will be described below.

[Principle explanation]
First, before explaining the configuration of the embodiment, the outline of the principle will be explained.

Assume that there is a relationship between document (teaching material) groups as shown in FIG. That is, the document D ₁₀ depends on the documents D ₅ and D ₇ , and the document D ₅ depends on the documents D ₀ and D ₁ . In this case, to the user, D ₀ , D ₁ , D ₅ , D ₇ , D ₁₀ , D ₁ , D ₀ , D ₅ , D ₇ , D ₁₀ , D ₀ , D ₁ , D ₇ , D _5, the order of _{D 10 or,, D 1, D 0,} D 7, D 5, it is desirable to output in the order of _{D 10.} It is necessary to output the required document first.

  The methodology for realizing the above is as follows. In the following, the target data is teaching material data, but it can also be used as general document data.

As a premise, the following data is prepared in advance.
(1) Keyword list of target educational material field (2) Metadata of each target educational material (3) Premise keyword list (keyword list corresponding to premise concept of the teaching material data)
(4) Learning keyword list (a list of keywords that can be learned from the learning material data)

  The procedure is as shown in FIG. 2 and will be described below.

[Step S1]: The target teaching material data is selected. The user may select from the list of teaching materials. The user may select from some learning material data (list of hit learning materials) related to the keyword given by the user. Existing databases or existing search engines may be used. Alternatively, teaching material data teaching a concept given by the user may be selected.

[Step S2]: Select teaching material data necessary for the target.
For each premise concept assigned to the teaching material data, teaching material data having the premise concept as a learning concept is added to the output candidate tree.

[Step S3]: Recursively select teaching material data necessary for the target. That is, step S2 is applied recursively until one or more of the following end conditions are satisfied.

(A) The teaching material data without the premise concept is reached.
(B) All concepts were learned.
(C) The number of teaching material data exceeds a threshold value.

[Step S4]: Output the information of the teaching material held in the output candidate tree. At this stage, the teaching material data group generated in step S3 is subjected to loop detection and optimization, topologically sorted for the user, and then output. Here, the loop detection is to find a portion where the search does not end because the dependency relationship between the premise keyword list and the learning keyword list circulates. Here, the optimization is to check that the same teaching material does not exist in the candidate list more than once. Here, the topological sort is a process of arranging all teaching material data in series so that the dependency relationship between the teaching material data does not contradict.

  According to the above procedure, the following effects can be expected.

[Effect 1]: It is possible to efficiently learn a highly difficult teaching material including many unlearned items. In the case of learning the teaching material A having a high difficulty level, conventionally, a new concept appearing in the teaching material is first examined, the teaching material B explaining the concept is learned, and the teaching material explaining the new concept in the teaching material B The operation of learning C was repeated. According to this procedure, this operation is automated, and only learning material A that is the purpose of learning is input. Can be presented.

[Effect 2]: For technical documents in a company, documents necessary for reading one document that needs to be understood can be acquired in order so that there are no undefined words.

[Effect 3]: When a research paper is read, the reference that refers to it and the reference that the reference refers to are automatically referenced, and an ordered set of necessary references is automatically generated. Can be earned.

[Configuration of Example]
FIG. 1 shows the configuration of a learning support apparatus 10 according to an embodiment of the present invention. The learning support apparatus 10 is connected to the user terminal 20 via a communication network such as a LAN or a WAN. Of course, it may be configured in a stand-alone form.

  In FIG. 1, the learning support device 10 includes a teaching material designation input unit 101, a related teaching material data acquisition unit 102, an output unit 103, a teaching material metadata storage unit 104, a user data storage unit 105, a teaching material content storage unit 106, and the like. Composed. The search unit 107 may be included as indicated by a broken line.

  As shown in FIG. 4, the learning material metadata storage unit 104 holds a premise keyword list and a learning keyword list for each learning material. For a specific example, refer to FIG. 8 to be described later. The prerequisite keyword list is a list of keywords that are prerequisites for learning the teaching material. The learning keyword list is a list of keywords that can be learned with the teaching material. In the following, keywords are also called learning themes and learning items. The user data storage unit 105 stores data relating to the user. In particular, in the relationship of this embodiment, as shown in FIG.

  The teaching material designation input unit 101 receives data for designating a target teaching material from the user terminal 20. The user may specify the target teaching material from the teaching material list, or may perform a keyword search using the search unit 107 and specify the target teaching material from the search result list. As will be described later, it is also possible to specify a teaching material section, for example, a chapter unit.

  The related teaching material data acquisition unit 102 specifies teaching materials (including the target teaching materials themselves) that are prerequisites for learning the target teaching materials, and further specifies the order of learning, that is, the dependency of the teaching materials. As shown in FIG. 6, it includes a matching unit 108, an output candidate tree storage unit 109, a topological sort unit 110, and the like. The matching unit 108 specifies a learning material that includes the pre-requisite keyword of the target learning material as a learning keyword from the target learning material, and the specified learning material is put in the output candidate tree. The topological sort unit 110 determines the learning order in which the dependency relations of the teaching materials do not contradict each other in the output publication tree.

  The output unit 103 presents teaching materials necessary for learning a target teaching material in the order of learning. The output may be printed, displayed on the display, or output as audio. The user receives the output at the user terminal 20. It is not necessary to arrange the necessary teaching materials in order because it is only necessary to arrange the necessary teaching materials in the learning order and present them to the user. For example, only one learning material may be presented, and the next learning material may be presented each time a predetermined key is pressed or a click operation is performed. The output unit 103 may refer to the learning history of the user (user data in FIG. 5) stored in the user data storage unit 105 and present it according to the learning history. For example, the learned material may not be presented, or the learned material may be displayed separately from other materials. For example, it may be displayed in gray. The presence or absence of display and the display mode may be changed according to the degree of learning and the grade of the test after learning. The user may be able to select whether or not to present according to the learning history and in what manner. The user may be prompted to indicate whether or not to display the learned material.

  Thereafter, the contents of each teaching material are appropriately sent from the teaching material content storage unit 106 to the user terminal 20.

[Usage example 1]
When studying teaching materials in the specialized field of database, prepare data in advance as follows.

(1) Keyword list in the target teaching material field For example, as shown in FIG. By using this keyword list, it becomes easy to associate the premise keyword with the learning keyword. In addition, you may make it absorb the wrinkles between keywords using a similar word dictionary (thesaurus) etc.

(2) Metadata of each educational material as a target For example, as shown in FIG. This corresponds to FIG. That is, the teaching material name, the premise keyword list, and the learning keyword list are associated with each other.

  The inquiry shown in FIG. 9 was performed in such a configuration. The inquiry can be selected from a list. Natural input may be used, or keyword input may be used.

  The matching unit 112 recursively specifies a learning material that includes a keyword as a learning keyword as a learning keyword, and adds the learning material to the output candidate tree. In this example, as shown in FIG. 10, from <1> to <5> of round numbers (may be surrounded by “<” and “>” due to restrictions on character use that round numbers cannot be used). Matching is done.

  In <1>, the keyword “SQL” is premised on the target “object relational database” (for convenience, it may be indicated by E. Other educational materials may also be indicated by capital letters B to E). The “database basis” (A) included as a keyword is specified. In the output candidate tree, “A” is added in addition to “E”.

  In other words, the specified teaching material “object relational database” is first considered. This teaching material is added to a list of output candidates (output candidate tree). Check the prerequisite keyword list for the teaching material name "Object Relational Database" in order. The teaching material “database basic” having “SQL” as one of the learning keywords in the learning keyword list is added to the output candidate tree.

  <2> specifies “database basics” (A) that includes the keyword “database design” as a learning keyword, which is a prerequisite for “object relational database” (E). If not. That is, “database design” is checked, and “database basic” having this in the learning keyword list is found, but it is not added because it is already in the output candidate tree.

  Similarly, <3> specifies “multimedia database” (C), and <4> specifies “database mining”. That is, the teaching material “multimedia database” having “multimedia” in the learning keyword list is added to the output candidate tree. Furthermore, the teaching material “data mining” having “data mining” in the learning keyword list is added to the output candidate tree.

At this point, the output candidate tree includes "object relational database",
Includes "database basics", "multimedia database", and "data mining".

  Further, the text database (B) is specified in <5> and added to the output candidate tree, and finally, the output candidate tree shown in FIG. 11 is formed. This output candidate tree is stored in the output candidate tree storage unit 109. That is, when the learning material “multimedia database” for which the pre-requisite keyword list has not yet been checked is checked, the learning material “text database” having “full text search” in the learning keyword list is identified and added to the output candidate tree. Hereinafter, similarly, learning materials having the premise keyword list in the learning keyword list for all the learning materials are added to the output candidate tree.

  The topological sort unit 110 performs, for example, depth-first search on the output candidate tree of FIG. 11 with the target teaching material (E) as a root, performs topological sort, and determines the learning order (dependency). In the example of FIG. 11, the depth order search is performed as indicated by the broken line, and the learning order is determined by giving a number when returning. In this example, numbers are assigned in the order of A, D, B, C, E (database basic, text database, multimedia database, data mining, object relational database).

  As a result, the output unit 103 sends an output as shown in FIG. The user can immediately grasp what kind of teaching materials should be learned in order to learn the target teaching materials (dependency of teaching materials).

[Usage example 2]
Usage example 2 acquires all the teaching materials necessary for understanding the keyword “apriori algorithm” in the same field as usage example 1 above.

  The inquiry is as shown in FIG.

  The matching unit 112 matches <1> and <2> as shown in FIG. 14 to identify the teaching material “database” (A) and the teaching material “data mining”, and generates an output candidate tree as shown in FIG. For example, the topological sort unit 110 performs a depth-first search and assigns the order. The order is “database basic” (A), “data mining” (D).

  As a result, the output unit 103 makes a presentation as shown in FIG.

  That is, first, a learning material having the given keyword “Apriori algorithm” in the learning keyword list is searched. The teaching material “Data Mining” is found. This teaching material “data mining” is added to the output candidate tree. Check the prerequisite keyword list of the teaching material “Data Mining”. One of them is “Database basics” that has “Database design” in the learning keyword list. This teaching material This teaching material “database basic” is added to the output candidate tree. Since there is no prerequisite keyword list for this teaching material “database basics”, the search ends. As a result, the teaching materials “database basic” and “data mining” are output in this order.

[Usage example 3]
In this example, a system is considered in which only a desired part is acquired for a predetermined one teaching material related to programming in Java (trademark) language.

  In this example, the following data is prepared.

(1) Keyword list in the field of target teaching materials An example of a keyword list is shown in FIG.

(2) Metadata for each target teaching material However, metadata is maintained for each part (chapter) of the teaching material. An example is shown in FIG.

  Under such a premise, as shown in FIG. 19, an inquiry was made to pick up a chapter necessary for learning with “character string of chapter 8” as a goal.

  As shown in FIG. 20, the inquiry result includes the order of chapter 1: source file creation / compilation / execution, chapter 2: variables, chapter 3: classes, chapter 4: instances, chapter 8: character strings. In this example, since the chapters that are not necessary for learning are presented, efficient learning can be proposed. Unnecessary chapters and contents may also be presented so that only the necessary parts are highlighted.

  The following is a supplementary explanation of the operation.

  First, the goal is to understand the contents of the textbook “Chapter 8 Character Strings”. This “Chapter 8 Character String” is added to the output candidate tree. The teaching material check that has “instance” and “character string” as the premise keyword list of “Chapter 8 character string” in the learning keyword list is checked. “Chapter 4 Instance” having “instance” in the learning keyword list and “Chapter 1 Source file creation / compilation / execution” having “character string” in the learning keyword list are added to the output candidate tree. At this point, the output candidate tree includes “Chapter 8 Character String”, “Chapter 4 Instance”, and “Chapter 1 Creating, Compiling, and Executing Source Files”. Of the four types of premise keyword lists of the learning material “Chapter 4 instance”, the learning material “Chapter 3 class” including “method declaration”, “class declaration”, and “argument” in the learning keyword list is added to the output candidate tree. The learning material “Chapter 1 Creating / Compiling / Execution of Source File” including “Variable” in the prerequisite keyword list of the learning material “Chapter 4 Instance” in the learning keyword list is already included in the output candidate tree. Teaching material “Chapter 1 Source file creation / compilation / execution” including 3 keywords of “Source file”, “Execution format file” and “Compilation” among the five types of premise keyword lists of the teaching material “Chapter 3 class” Is already included in the output candidate tree. The learning material “Chapter 2 Variable” that includes the two keywords of “variable” and “basic data type” in the learning keyword list among the five types of premise keyword lists of the learning material “Chapter 3 class” is added to the output candidate tree. “Chapter 2 Source File Creation / Compilation / Execution” with the learning keyword list “Source File”, “Execution Format File”, and “Compilation” in the three types of premise keyword lists of the teaching material “Chapter 2 Variables” in the output candidate tree to add. The above output candidate trees are sorted by the topological sort unit 110 and output from the output unit 103.

[Usage example 4]
In the same environment as Usage Example 3, “Chapter 5 Inheritance” is set as a goal. The inquiry is as shown in FIG. The inquiry result is as shown in FIG. In this example, only necessary chapters can be selected and presented. Since the operation is the same as in Usage Example 3, it will not be repeated.

[Usage example 5]
In the same environment as Usage Examples 3 and 4, “Chapter 9 Array” is set as a goal. The inquiry is as shown in FIG. The inquiry result is as shown in FIG. In this example, only necessary chapters can be selected and presented. Since the operation is the same as in Usage Example 3, it will not be repeated.

  The present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the spirit of the invention. For example, the above embodiment can be adopted as a client / server configuration as shown in FIG. In FIG. 25, client terminals 201 of a plurality of user sites 200 are connected to a LAN (private communication network) 116 of the learning support service site 100 via a communication network 300 such as a LAN or WAN. The client terminal 201 of the user site 200 is a personal computer, for example, and has a web browser 202 mounted thereon. The learning support service site 100 includes computer resources such as a web server 111, an application server 112, a database management system 113, a file server 114, and a router 115. These computer resources are connected to the LAN 116. Of course, the learning support service site 100 includes various servers such as a name server and a mail server as necessary.

  The database management system 113 manages databases 104a and 105a such as teaching material metadata and user metadata. The database management system 113 may be a relational database management system or an object-oriented database management system. The teaching material metadata and user data are as shown in FIGS.

  The web server 111 provides a user interface and receives an HTTP request from the client side. The application server 112 implements various functions such as learning material search and learning material data acquisition. Instead of the application server 112, a CGI (Common Gateway Interface) program or a servlet on the web server 111 may be used.

  The client terminal 201 of the user site 200 and the router 115 of the learning support service site 100 are connected by the communication network 300 described above, and each server of the learning support service site 100 in the intranet environment using the client terminal 201 of the user site 200. Can be accessed.

  The builder of the learning support service registers teaching material metadata, user data, and the like using a predetermined user interface.

  When a user specifies a target teaching material in the learning support service and requests a necessary teaching material search, the acquisition unit 112a of the application server 112 acquires the necessary teaching material data using the teaching material metadata and presents it to the user. .

  When a user requests a search for a predetermined keyword, the search unit 112b of the application server 112 searches for a teaching material, and further acquires the teaching material necessary for understanding the teaching material by the acquiring unit 112a. To the user.

It is a figure for demonstrating the principle of this invention. It is a flowchart explaining the flow of a fundamental process of this invention. It is a figure explaining the structure of the Example of this invention. It is a figure explaining the example of the teaching material metadata of the above-mentioned Example. It is a figure explaining the example of the user data of the above-mentioned Example. It is a figure explaining the structural example of the related teaching material data acquisition part of the above-mentioned Example. It is a figure which shows the example of the keyword of the field of the target teaching material in the above-mentioned Example. It is a figure which shows the example of the metadata of a teaching material in the above-mentioned Example. It is a figure explaining the example of the inquiry 1 of the above-mentioned Example. It is a figure explaining the example of matching between the premise keyword in the above-mentioned inquiry 1, and a learning keyword. It is a figure explaining the example of the output candidate tree in the said inquiry 1. FIG. It is a figure explaining the example of the result 1 of the above-mentioned Example. It is a figure explaining the example of the inquiry 2 of the above-mentioned Example. It is a figure explaining the example of matching between the premise keyword in the above-mentioned inquiry 2, and a learning keyword. It is a figure explaining the example of the output candidate tree in the above-mentioned inquiry 2. FIG. It is a figure explaining the example of the result 2 of the above-mentioned Example. It is a figure which shows the other example of the keyword of the field of the target teaching material in the above-mentioned Example. It is a figure which shows the other example managed by the chapter unit of the metadata of teaching materials in the above-mentioned Example. It is a figure explaining the example of the inquiry 3 of the above-mentioned Example. It is a figure explaining the example of the result 3 of the above-mentioned Example. It is a figure explaining the example of the inquiry 4 of the above-mentioned Example. It is a figure explaining the example of the result 4 of the above-mentioned Example. It is a figure explaining the example of the inquiry 5 of the above-mentioned Example. It is a figure explaining the example of the result 5 of the above-mentioned Example. It is a figure explaining the modification of the above-mentioned Example.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Learning support apparatus 20 User terminal 100 Learning support service site 101 Teaching material designation | designated input part 102 Related teaching material data acquisition part 103 Output part 104 Teaching material metadata 105 User data storage part 106 Teaching material content storage part 107 Search part 108 Matching part 109 Output Candidate tree storage unit 110 Topological sort unit 111 Web server 112 Application server 112a Acquisition unit 112b Search unit 113 Database management system 114 File server 115 Router 200 User site 201 Client terminal 202 Web browser 104a, 105a Database 300 Communication network

Claims (14)

A learning material specifying means for specifying a learning material,
For each learning material, a learning material information storage means for storing a learning item to be learned with the learning material and a premise item to be a learning prerequisite of the learning material;
The process of recursively acquiring the information of the learning material necessary for learning the learning material specified by the learning material specifying means and the information of the other learning materials having the learning item as the learning item by referring to the learning material information storage means. A learning material information acquisition means for executing and acquiring
A learning support apparatus, comprising learning material information output means for outputting information on learning materials necessary for learning the designated learning material acquired by the learning material information acquisition means.   The learning material information output means orders the learning material information necessary for learning the specified teaching material in such an order that the prerequisite items of the subsequent learning materials are included in the learning items of the preceding learning materials. The learning support apparatus according to claim 1, wherein the learning support apparatus outputs the result.   The learning support device according to claim 1, wherein the teaching material includes one that is handled in an independent unit.   The learning support device according to claim 1, 2, or 3, wherein the learning material includes what is handled as a partial unit of the independent learning material.   The learning support apparatus according to claim 1, wherein the learning item and the prerequisite item are selected from a predetermined keyword.   The learning history storage means for storing the learning history of the learner is further provided, and the learning material information output means outputs information on the learning material necessary for learning the designated learning material based on the learning history. The learning support apparatus according to any one of 5.   The learning support device according to claim 6, wherein a learning material that has already been learned is excluded from learning materials necessary for learning the designated teaching material based on the learning history.   The learning support apparatus according to claim 6, wherein the learning material that has already been learned is displayed separately from other learning materials based on the learning history. Learning item specifying means for specifying learning items;
An item relationship storage means for storing a relationship between a learning item and a premise item as a premise of learning of the learning item;
Learning item information acquisition means for recursively acquiring information of other learning items necessary for learning of the learning item specified by the learning item specifying means by referring to the item relation storage means;
A learning support apparatus comprising learning item information output means for outputting information of the other learning items acquired by the learning item information acquisition means.   The learning item information output means outputs the information of the other learning items after ordering them in such an order that the precondition items of the learning items in the later order are included in the learning items in the preceding order. Item 9. The learning support device according to Item 9. A step of specifying a learning material by means of learning material specifying means;
Storing, for each learning material, learning items to be learned by the learning material and precondition items to be learned by the learning material for each learning material;
The learning material information acquisition means recursively stores the learning material information necessary for learning the learning material specified by the learning teaching material specifying means, the information of other learning materials whose learning items are learning items, and the learning material information storage means. A step of recursively executing a process to be acquired by reference,
A learning support method, comprising: a step of outputting learning material information necessary for learning the designated learning material acquired by the learning material information acquisition unit by a learning material information output unit. A step of specifying a learning material by means of learning material specifying means;
Storing, for each learning material, learning items to be learned with the learning material and precondition items to be learned of the learning material for each learning material;
The learning material information acquisition means recursively stores the learning material information necessary for learning the learning material specified by the learning teaching material specifying means, and the information of other learning materials whose learning items are learning items as learning items. A step of recursively executing a process to be acquired by referring to
The learning material information output means is used for causing the computer to execute the step of outputting the information of the learning material necessary for learning the specified learning material acquired by the learning material information acquisition means. Computer program. A step of specifying learning items by means of learning item specifying means;
Storing a relationship between a learning item and a premise item as a premise of learning of the learning item by means of an item relationship storage means;
Recursively referring to the item relation storage means for acquiring information of other learning items necessary for learning of the learning item specified by the learning item specifying means by the learning item information acquiring means;
A learning item information output means for outputting the information of the other learning item acquired by the learning item information acquisition means. A step of specifying learning items by means of learning item specifying means;
Storing a relationship between a learning item and a premise item as a premise of learning of the learning item by means of an item relationship storage means;
A step of recursively acquiring information on other learning items necessary for learning of the learning item designated by the learning item designating means by referring to the item relation storage means by the item information obtaining means;
A learning support computer program used for causing a computer to execute a step of outputting information of the other learning items acquired by the learning item information acquisition unit by a learning item information output unit.

Images