JP2012128023A - Learning support method, program for terminal device, program for support server, storage medium, and terminal device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a learning support method capable of supplying learners with additional information such as an advanced advice with less dispersion.SOLUTION: The learning support method supports learning by content data using an inputtable/outputtable information processor. The learning support method performs: steps (S6) and (S8) for presetting metadata attached associated with the content data and output content based on the metadata, and allowing the information processor to detect the metadata from the content data and a content input by a learner associated with the content data; a step (S10) for storing the detected metadata; and a step (S11) for outputting the output content based on the metadata.

Description

  The present invention relates to a learning support method, a terminal device program, a support server program, a storage medium, and a terminal device that support learning based on content data using an input / output information processing device.

  Conventionally, various support methods have been proposed using an information processing apparatus capable of inputting and outputting. In these methods, for example, (1) presenting reference information and / or learning manuals and / or advice to each learner, and (2) learning by detecting the level and / or progress of each learner. Or (3) creating and presenting individual learning menus / learning histories (learning progress materials) based on the level and / or progress detection results of each learner.

  Further, when the information processing apparatus has a communication function and functions as a terminal device, content data can be quickly supplied to a remote learner (see, for example, Patent Document 1), or information processing can be performed by a server. The above-mentioned presentation or higher-level presentation can be performed using more information than the apparatus alone (see, for example, Patent Document 2). In addition, by using the server, it becomes possible to analyze the contents uploaded from many other terminal devices, and rank / relative position among multiple learners, level group presentation, level group The above-mentioned presentation is possible (for example, refer to Patent Document 3). As such learning support methods, e-learning and a client / server learning management system (LMS) have been known.

  In addition, in order to support each learner more precisely, for example, a goal is set in advance and management is performed on a time axis, and the individual ability / individual characteristics other than the learning ability and intelligence of each learner are evaluated, A portfolio learning method (or e-portfolio using an information processing terminal device) that collects learning histories and learner creations during learning as evaluation targets and performs self-evaluation as well as learning instructors has been proposed. (For example, refer to Patent Document 4). For such more detailed support, for example, learning contents are selected from the attributes of each learner (see, for example, Patent Document 5), or a search point for tracking is set for a problem (for example, patents). (Refer to Document 6), determination information is associated with operation information (for example, refer to Patent Document 7), schedule or load factor is set as attribute data or management method for content for each learning unit, or learning speed is stored in the learning history Or learning start date data (see, for example, Patent Document 8), or by assigning content systematically from a superordinate concept to a subordinate concept, the learner's strengths / disadvantages are identified (for example, Patent Document 9) It has also been proposed to see).

JP 2007-011096 A Japanese Patent Laid-Open No. 2001-296895 JP 2007-192958 A JP 2005-301257 A JP 2010-176236 A JP 2005-275290 A JP 2007-219335 A Japanese Patent Laid-Open No. 2005-215065 JP 2006-343440 A

  However, although additional information such as attribute information for each content in the conventional support method is associated with each content, it is stored separately from each content in a separate support table, for example. Therefore, it is complicated to input all the answers corresponding to one content and the additional information related to the content and the answers in a support table format. Furthermore, when a plurality of contents are combined, Each time the number increases, the number of complicated operations increases exponentially. Therefore, the number of support tables and the internal capacity of each table are very large, and the amount of work for creating additional information has increased greatly. For this reason, when the content increases, it has become difficult to create additional information that more closely supports learning by each learner for each content.

  In addition, it is necessary to change all related support tables when the content changes, and when adding new content, all the related related support tables are added or all related It is necessary to create a new type of support table, and the amount of work for creating additional information at the time of content change or addition has greatly increased.

  In addition, since it is difficult to create a table that supports the learning by each learner more precisely, the learning supporter / instructor must investigate the additional information individually for each content and reaction, or newly think about it. However, it took a lot of time and man-hours, and the support contents varied depending on the level of the learning supporter / instructor. In addition, when providing advice to learners other than those directly related to learning such as manuals and content beyond the teaching guidelines, and learning environments that are tailored to individual circumstances, they are highly capable of learning supporters / instructors. And experience were required, and advice varied according to ability.

  Furthermore, when learning support / teaching is enhanced so as to correspond to individual circumstances and individual level / accuracy / characteristics as in the portfolio learning method, advanced learning support corresponding to the increase in the number of learners It is necessary to secure leaders / leaders. Advanced learning supporters / instructors were generally few, wages high, and it was difficult to secure personnel. In addition, it took a lot of man-hours (costs) and time to nurture a new level of learning supporter / instructor. In other words, there is a shortage of advanced learning supporters / instructors on the learning supporter / instructor side, and the cost increases regardless of whether it is increased or newly cultivated, and eventually the learning cost on the learner side also increases. Was.

  Therefore, in order to solve the above-described problems, the present invention provides a learning support method, a terminal device program, a support server program, a storage medium, and a terminal device that are capable of supplying additional information such as advice with high degree of variation to a learner. The purpose is to provide.

  (1) In order to solve the above problem, a learning support method according to the present invention is a learning support method for supporting learning by content data using an input / output information processing apparatus, and corresponds to content data. And the accompanying metadata and the output content based on the metadata are preset, and the information processing apparatus detects the metadata from the content data and the content input by the learner corresponding thereto, and detected. The step of storing the metadata and the step of outputting the output contents based on the metadata are performed.

  In this learning support method, content data and output contents based on the metadata are set in advance, so that the learner has an objective object with a high degree of variation based on the metadata corresponding to the content that the learner has reacted to the content. Additional information such as technical advice can be supplied, and an increase in learning cost can be suppressed. In addition to the content given by the creator of the content based on the intention of creation, the metadata may be given or supervised by an authoritative researcher in the content field, and other assistance / In addition to the contributors (contributors) and coaches (learning supporters) who directly teach the learners, those granted or supervised by mentors who assist the learners from the side are included.

  Metadata, for example, is data that accompanies one original data, and is additional data with a high level of abstraction about the original data itself. Keywords and summary content are read as metadata. However, it may be bibliographic information such as a document, attribute information such as the author's name, title, date of publication, etc., a keyword, a tag, or the like. Conventional metadata schemas include: 1, attribute set (attribute vocabulary) ... title, author, publisher, etc. 2, attribute value type set (attribute value type vocabulary) ... date and name description format, 3. Controlled vocabulary representing the subject, 3, structural constraints (small and medium syntax) ... structural restrictions / constraints such as omission of attribute value descriptions and repetition conditions, 4, realization form (concrete syntax) ... system This is a concrete expression format of the above metadata. Actually, it is most used as a keyword for search.

  In the present application, this metadata is used as data associated with each reaction (for example, an answer) to the content (for example, a question) in addition to the category content. The content (for example, a question) is accompanied by metadata regarding the question intention, and the reaction (for example, an answer) is accompanied by candidates such as advice for an incorrect answer.

(2) Preferably, in the step of outputting the output content based on the metadata, the learning support method according to the present invention includes a step of reading the output content corresponding to the metadata and a step of outputting the output content. It may be.
In this case, when the metadata accompanying the content data and the output content based on the metadata are not stored in association with each other in the same file, that is, the metadata and the output content are stored in different files. Even if it is, appropriate output content can be output based on the metadata.

(3) Preferably, in the learning support method according to the present invention, in the step of outputting the output contents based on the metadata, a step of performing statistical processing together with the stored past metadata, and a result of the above step You may make it have the step which reads the output content corresponding to a statistical result, and the step which outputs the said output content.
In this case, more appropriate output content can be output based on the result of statistical processing with the stored past metadata.

(4) Preferably, in the learning support method according to the present invention, the information processing apparatus is a terminal device connectable to a support server via a communication line network, and the terminal device is connected via a communication line network. Performing a communication connection with the server and transmitting the stored metadata to the support server;
The support server receives the metadata from the terminal device, stores the received metadata, calculates the received metadata, and the metadata stored in the past, and is processed. Outputting the output content based on the metadata to the terminal device, and
The terminal device may perform a step of receiving the output content from the support server and a step of outputting the output content.

  In this case, all the past metadata stored in the support server can be used, and the number of original data used in the calculation process increases, so that the accuracy of the calculation process is improved and the metadata is based on the metadata. As for the output contents, since the capacity of the support server is large, more detailed output contents can be set in advance, and together with accurate statistical results, learners can receive more advanced and detailed advice. Output contents can be output.

(5) Preferably, in the learning support method according to the present invention, the support server may statistically process the metadata in the step of processing the metadata.
In this case, statistical processing can output not only comparisons with previous similar problems in your data, but also comparisons with others, level determination, rankings, and tendency to misproblems. .

(6) Preferably, in the learning support method according to the present invention, in the step in which the support server calculates the metadata, the achievement degree with respect to the target value set in advance using the metadata may be obtained. .
In this case, since it is possible to know how much the achievement rate is with respect to the target value, it is possible to correctly recognize the current state of the self, and to facilitate the next stepwise target and schedule.

(7) Preferably, in the learning support method according to the present invention, in the step in which the support server performs the arithmetic processing of the metadata, the stages of the necessary items for reaching the target value set in advance using the metadata are reached. The scheduled date may be obtained.
In this case, the target value including not only its own history and data, but also the data of other people from the support server, and the expected date of arrival at each stage for the target value, at what percentage of the target value is achieved. You can know if there is, so you can schedule the next staged goal without difficulty.

(8) Preferably, in the learning support method according to the present invention, in the step in which the support server calculates the metadata, the evaluation of the terminal user is obtained using the metadata, the past reachability, and the scheduled date. It may be.
In this case, since the evaluation is performed using the output contents such as metadata and advice on the metadata, the past and present achievement levels, and the schedule, a comprehensive objective evaluation can be obtained.

  (9) In order to solve the above-mentioned problem, the program for a terminal device of the learning support method according to the present invention implements each step in the terminal device of the learning support method of (1) to (8).

  (10) In order to solve the above-described problem, the support server program for the learning support method according to the present invention performs each step in the support server for the learning support method according to the above (1) to (8).

  (11) Moreover, in order to solve the said subject, the storage medium of the learning assistance method which concerns on this invention memorize | stores the program which performs the step in the terminal device of the learning assistance method of said (1)-(8).

  (12) In order to solve the above-described problem, the terminal device of the learning support method according to the present invention includes an output device capable of outputting at least one of display output and voice output, image input, selection input, voice input, or text A terminal device including an input device capable of inputting at least one of inputs, a support program storage unit in which the program of (9) is installed, content data associated with corresponding metadata in advance, and corresponding A metadata detection unit that detects metadata from content input from the input device, an output content storage unit that stores output content based on the metadata, a metadata storage unit that stores the detected metadata, A control unit that obtains output contents based on the detected metadata, and an output that outputs the output contents based on the metadata to an output device And, equipped with a.

  According to the terminal device of the present learning support method, the content data and the output contents based on the metadata are preset, so that the learner is advanced based on the metadata corresponding to the contents that the learner reacted to the contents. Therefore, additional information such as objective advice with little variation can be supplied, and the increase in learning cost can be suppressed. Also, the conventional terminal device has a small additional burden other than the storage capacity, and it is not necessary to design the terminal device exclusively, and it is easy to cope with it.

  According to the present invention, since the learner is based on the metadata corresponding to the content that reacts to the content, it is possible to supply the learner with additional information such as objective advice with a high degree of variation and to suppress an increase in the learning cost. A learning support method, a terminal device program, a support server program, a storage medium, and a terminal device can be provided.

(A) is a block diagram which shows the functional block of the outline | summary of the terminal device of an example of the learning assistance method which concerns on this invention, (b) is a block which shows an example of the actual hardware which implement | achieves the functional block of (a) FIG. It is a recording / history of the content reaction of an example of the learning assistance method which concerns on this invention. (A) is a flowchart which shows the operation | movement flow of the outline | summary of the terminal device of an example of the learning assistance method based on this invention shown in FIG. 1, (b) shows the further detailed operation | movement flow of step S9 of (a). It is a flowchart. It is a block diagram of a network system including a terminal device and a server as an example of a learning support method according to the present invention. It is a block diagram which shows the functional block of the outline | summary of the server of an example of the learning assistance method which concerns on this invention. FIG. 5 is a timing chart showing an outline operation timing including each terminal device and server on the network system of an example of the learning support method according to the present invention shown in FIG. 4. FIG. FIG. 5 is a diagram mainly showing an example of service contents that can be provided to a learner by the learning support method according to the present invention shown in FIG. 4. FIG. 8 is a diagram showing an example of service contents that can be provided to a learner by the learning support method according to the present invention shown in FIG. 4, centering on contents and recording / history, unlike FIG. 7.

  Based on the above, embodiments of the learning support method, terminal device program, support server program, storage medium, and terminal device of the present invention will be described in detail with reference to the drawings.

(Last for audio)
<Embodiment in the case of using a terminal device mainly in stand-alone>
FIG. 1A is a diagram showing an example of a functional block configuration of a general user terminal device in which a terminal device program of the learning support method of the present invention is installed.

  The general user terminal 11 includes a control unit 212 that controls the operation of each unit of the terminal device, a display unit 213 having a screen such as a liquid crystal display (LCD) that displays and displays an image of content to the learner (user), Alternatively, an input unit 214 having an input device such as a keyboard or tablet (digitizer) for inputting figures, a storage unit 215 for storing various programs and data such as system control programs, content data, and learner data, and floppy (registered trademark) ) It has an external storage device interface (I / F) 216 to which an external storage medium such as a disk, CD-RAM / ROM, DVD-RAM / ROM, Blu-ray-RAM / ROM, memory card, or memory chip can be connected. .

  The general user terminal 11 includes an information processing apparatus such as a microcomputer or a workstation, a tablet terminal having a liquid crystal screen as a touch panel, and a display such as a television if a content can be displayed and a reaction can be input. It includes a stationary game device to be connected, a portable game device that can be used outdoors that is battery-powered and equipped with a display, a mobile phone device, an electronic dictionary, an electronic book reader, and the like.

  The control unit 212 is a control unit having a broad meaning including an arithmetic element such as a microprocessor and a CPU, its peripheral elements, and peripheral devices, and can perform various processes according to an input program. The display unit 213 is, for example, a liquid crystal display device that can display various contents such as content data and learner data. The input unit 214 is not limited to a keyboard and a mouse, and may be a touch panel (touch pen), a digitizer, a trackball, or the like. Further, if voice recognition / voice synthesis or the like can be used in the terminal 11, a speaker may be used instead of the display unit 213, and a microphone may be used instead of the input unit 214.

  The storage unit 215 includes at least a system control program unit 221, a content data unit 222, and a learner data unit 223. The system control program unit 221 is not only a basic system control program such as an OS, but also an application program that performs processing such as content display, a communication control program, data and program input / output processing for the external storage unit, and a display control program Various control programs such as an input processing program are stored, and the application program includes a metadata processing program 231 for processing the metadata of the present application.

  The content data unit 222 stores content data such as questions and answers used in, for example, an English educational application program, and each content data is accompanied by metadata. Store metadata.

  The learner data unit 223 stores the learner's personal data, the learning history unit 233 stores the content and answer of the content that the learner has learned in the past, and the metadata history unit 234 stores each content. The metadata attached to is stored.

  The external storage device interface 216 is a part that enables an external storage medium to be connected when loading new content from an external storage medium such as a memory chip to the general user terminal 11. The communication interface 217 is a part that enables connection to a network when, for example, a new content is downloaded from a server connected to the network to the general user terminal 11.

Next, an exemplary hardware configuration in the general user terminal device of FIG. FIG. 1B is a diagram illustrating an example of a hardware configuration in the general user terminal 11 in FIG.
The internal configuration block of the general user terminal 11 shown in FIG. 3 described below includes user terminals 12 to 13, registered user terminals 21 to 23, a learning supporter terminal 61, a content creation / scorer terminal 71, and a mentor. (Contributor) The present invention can also be applied to the terminal 81. The other company's platform system server 41 and the autonomous learning support system server 51 have the same configuration as that of the general user terminal 11 or a user interface (I / F) 113 and an input / output device 114 for the general user terminal 11. The configuration may not include a personal interface (I / F) portion. In addition, when communication with an external server is possible via the communication interface (I / F) 104 (= communication I / F 217), a connection portion with an external storage medium (FD 150, CD 160, external memory chip 170, etc.) is always necessary. Instead, it is provided as needed.

  The general user terminal 11 includes a CPU peripheral unit including a CPU 101, a RAM 103, a graphic controller 109, and a display device 110 (= display unit 213) connected to each other by a main controller 111, and an input / output (I / O) controller 112. The communication interface 104 connected to the main controller 111, the hard disk drive 105, the CD-ROM drive 107 (= external storage device I / F 216), and the external memory input / output unit 115 (= external storage device I / F 216). An output unit, a ROM 102 connected to the input / output controller 112, and a legacy input / output unit having an input / output (I / O) chip 108 to which a flexible disk drive 106 (= external storage device I / F 216) is connected. . Further, instead of the hard disk drive 105, a storage device using a flash memory or the like which is a nonvolatile memory element that can be rewritten at high speed may be used.

  The main controller 111 connects the RAM 103, the CPU 101 that accesses the RAM 103 at a high transfer rate, and the graphic controller 109. The CPU 101 operates based on programs stored in the ROM 102 and the RAM 103 and controls each unit. The graphic controller 109 acquires image data generated on a frame buffer provided in the RAM 103 by the CPU 101 or the like and displays it on the display device 110. Instead of this, the graphic controller 109 may include a frame buffer for storing image data generated by the CPU 101 or the like.

  The input / output controller 112 includes an external memory input / output unit 115 that can connect the main controller 111 and an external memory chip 170 that is a high-speed input / output device, a hard disk drive 105 that is a relatively high-speed input / output device, and a communication interface (I / F) 104 and the CD-ROM drive 107 are connected. The external memory input / output unit 115 and the hard disk drive 105 (flash memory) store programs and data used by the CPU 101. The communication interface 104 is connected to the network 31 to transmit / receive programs or data to / from other terminals or servers. The CD-ROM drive 107 reads a program or data from the CD-ROM 160 and provides it to the hard disk drive 105 (flash memory) and the communication interface 104 via the RAM 103. The external memory input / output unit 115 also reads a program or data from the external memory chip 170 and provides it to the hard disk drive 105 (flash memory) and the communication interface 104 via the RAM 103.

  The input / output controller 112 includes an ROM 102, a flexible disk drive 106, a CD-ROM drive 107, an input / output chip 108, and an input / output device 114 (= input unit 214) via a user interface (I / F) 113. ) And other relatively low-speed input / output devices are also connected. The ROM 102 stores a boot program executed when the general user terminal 11 is started, a program depending on the hardware of the general user terminal 11, and the like. The flexible disk drive 106 reads a program or data from the flexible disk 150 and provides it to the hard disk drive 105 (flash memory) and the communication interface 104 via the RAM 103. Similarly, the CD-ROM drive 107 reads a program or data from the CD 160 and provides it to the hard disk drive 105 (flash memory) and the communication interface 104 via the RAM 103, and the external memory input / output unit 115 receives from the external memory chip 170. The program or data is read and provided to the hard disk drive 105 (flash memory) and the communication interface 104 via the RAM 103. The input / output chip 108 connects various input / output devices via the flexible disk drive 106 and, for example, a parallel port, a serial port, a keyboard port, a mouse port, and the like.

  The program and / or content executed by the CPU 101 is stored in a recording medium such as the flexible disk 150, the CD-ROM 160, or the external memory chip 170 (IC card) and provided by the user, or via a communication network. Provided by the server. The program stored in the recording medium or downloaded from the communication line network may be compressed or uncompressed. The program is installed in the hard disk drive 105 from the recording medium, read into the RAM 103, and executed by the CPU 101.

  The program and / or content executed by the CPU 101 causes the general user terminal 11 to function as the general user terminal 11 described with reference to the operation block diagram of FIG.

  The program shown above may be stored in an external storage medium. As a storage medium, in addition to the flexible disk 150 and the CD-ROM 160, an optical recording medium such as DVD and PD, a magneto-optical recording medium such as MD, a tape medium, a semiconductor memory such as an external memory chip 170 (IC card), and the like. Can be used. Further, a storage device such as a hard disk or a RAM provided in a server system connected to a dedicated communication network or the Internet may be used as a recording medium and provided to the general user terminal 11 via the network.

  A learning history 600 shown in FIG. 2 corresponds to the learning history unit 233 of FIG. The history of learner A (user A) 610 and learner B (user B) 620 in English learning content is as follows.

<Learner A (User A) 610>
Among the five questions of the past participle 601, the learner A (user A) 610 mistakes the second one.
Among the five questions of the tense expression 602, the learner A (user A) 610 has mistaken the second one question.
Among the five questions in the newspaper reading comprehension 603, the learner A (user A) 610 mistakes the second one.
Among the five questions in the conversation listening 604, the learner A (user A) 610 has mistaken the second and fourth questions.
In the ability chart 605, for each item of the radar chart, the problem of the field (item) with a high correct answer rate is plotted large, the problem of the field (item) with a low correct answer rate is plotted small, and the adjacent plots are connected with a straight line. Created with. In some cases, a filled area within the bound range is used. The radar chart of the learner A (user A) 610 becomes larger in the area comparison with the learner B (user B) 620.

<Learner B (User B) 620>
Among the five questions of the past participle 601, learner B (user B) 620 has mistaken the first, second, and fifth questions.
Of the five questions in the tense expression 602, the learner B (user B) 620 mistakes the first, second, and fourth questions.
Among the five questions of the newspaper reading comprehension 603, the learner B (user B) 620 correctly answers all questions.
Among the five questions in the conversation listening 604, the learner B (user B) 620 has mistaken the first, second, and fourth questions.
The radar chart of the learner B (user B) 620 is small in area comparison with the learner A (user A) 610, but only the item of the newspaper reading 603 has a value larger than that of the learner A (user A) 610.

  In the flowchart of FIG. 3A, an operation flow of the general user terminal 11 is shown. First, when the power of the general user terminal 11 is turned on, the general user terminal 11 reads an application program such as English education, and the system starts up. In the present embodiment, it is checked whether or not the support system is already installed (S1). If the support system is already installed (step S1: YES), the process goes to step S3. If the support system is not already installed (step S1: NO), the support system is installed (S2). .

  Next, the general user terminal 11 checks whether or not content such as a problem collection of an application such as English education has already been read (S3). If the content has already been read (step S3: YES), the process goes to step S5. If the content has not been read yet (step S3: NO), the content is acquired (S4). The content can be acquired, for example, by reading from the content data unit 222 in the storage unit 215, reading from an external storage medium via the external storage device Inta-fe-su 216, or via the communication interface 217. Read from an external server via.

  When the content is acquired, the general user terminal 11 checks whether metadata is attached to each content (S5). When metadata is not attached (step S5: NO), the process goes to step S7, but when metadata is attached (step S5: YES), the problem side (content creator side) of the content (S6) is detected (S6). Here, the general user terminal 11 waits for the input of the inventor who has read the problem.

  Thereafter, the general user terminal 11 checks whether or not there is an answer (reaction input) to the content such as a problem (S7). If there is no answer (step S7: NO), the general user terminal 11 repeats step S7. If there is an answer (step S7: YES), the metadata corresponding to the answer is detected (step S7: YES). S8).

  Then, the general user terminal 11 detects the output content such as advice based on the metadata of both the problem side (intention of the content creator side) in step S6 and the metadata corresponding to the answer in step S8. (S9). Thereafter, the general user terminal 11 stores each metadata and output contents (S10), and transmits the detected output contents to the learner (S11), and then checks whether the learning is continued or finished ( S12). When learning is continued (S12: YES), the general user terminal 11 returns to step S3. However, when learning is ended (S12: NO), the general user terminal 11 ends the application.

  Next, the operation of step S9 will be described in more detail using the flowchart of FIG. The general user terminal 11 that has detected the metadata on the problem side (intention of the content creator) and the metadata corresponding to the answer detects what classification (classification) the content is and the level of the content ( S21). For example, in the case of English education, the content classification (classification) is a classification of whether the aim of the problem is usage of past participle, usage of tense expression, or English reading comprehension. The level is classified into an elementary level, an intermediate level, an advanced level, a junior high school one-year level, and a high school graduation level.

  Next, the general user terminal 11 reads out the target of the detected category in the setting target preset by the learner, the answer to the problem of the same category in the past and the metadata from the history (S22), and further checks in time In order to do this, the plan schedule of the learner is read out (S23).

  Here, the general user terminal 11 checks whether or not the level target for each category has been achieved (S24). If it has been achieved (S24: YES), the process proceeds to step S26. If it has not been achieved (S24: NO), for example, the category is indicated as a weak point, new content is output, and a new level for each category is output. The target is calculated.

  Next, the general user terminal 11 checks whether or not the target has been achieved within the schedule period (S26). If it has been achieved (S26: YES), the process proceeds to step S28, but if it has not been achieved (S26: NO), for example, the category is indicated as a weak point, new content is output, and a new schedule is calculated. The For the sake of convenience of explanation, the achievement rate for the target for each level and the achievement rate for the target within the schedule period have been described separately, but they may be checked simultaneously.

  The general user terminal 11 uses the above-described content problem side (content creator side intention) metadata, current and past metadata corresponding to the answer, classification (classification), level, new / old The output contents are detected from the target and the new / old schedule (S28). Here, for example, the general user terminal 11 selects a newer one for the same type of output content, and includes how the new has changed with respect to the old in the new and old comparison. Then, history data is created from the detection results and replaced with old data in the learning history section 233 in the learner data section 223 (S29).

  The output contents of this embodiment obtained in this way are the contents that the metadata gives based on the intention of creation by the content creator, the contents given or supervised by an authoritative researcher in the content field, This includes content given or supervised by other aid / contributors (contributors), mentors, etc., so it differs from conventional general advice and is highly sophisticated and condensed with know-how. Therefore, in the present embodiment, since the learner is based on the metadata corresponding to the content of the reaction to the content, it is possible to supply additional information such as objective advice with high degree and less variation to the learner. And since the cost which raises the level of the direct coach (learning instructor) with respect to a learner is unnecessary, the raise of learning cost can be suppressed.

<Embodiment when using a network>
The general user terminals 11 to 13 and the registered user terminals 21 to 23 illustrated in FIG. 4 basically have the same internal configuration as the general user terminal 11 illustrated in FIG. Since the general user terminals 11 to 13 and the registered user terminals 21 to 23 are connected to the network 31, they upload or download web pages of content between the other company's platform system server 41 and the autonomous learning support system server 51. can do. A more detailed configuration in the general user terminal 11 is as described above with reference to FIGS. 1 (a) and 1 (b).

  The registered user terminals 21 to 23 are terminals of users whose names are registered in order to receive services different from those of general users. The service different from the general user is, for example, referring to paid data created by a site administrator or the like. In other words, it is a service that can be referred only to users who have been registered and whose name, payment method, and the like have been clarified. Regarding the configuration of the registered user terminals 21 to 23, there may be a special function for confirming that the user is a registered user. It may be the same composition as 11-13.

  The network 31 is a network including at least the Internet, although a part of the network 31 may be via a wireless communication network, a public telephone line, a local area network (LAN), or another network.

  The other company's platform system server 41 is a third party platform system server that is connected to the network 31 and uses arbitrary software, and has at least one server device and is connected to the network 31. It has a platform system interface 43 and a platform system database 45. In addition, the platform system server 41 of other companies generally creates a new content and posts it (transmits it for storage) on any terminal connected to the network 31, and sends the stored content. It is a system that can be edited. For example, it may be an arbitrary system such as e-learning, e-portfolio, SNS.

  The platform system interface 43 receives a predetermined content request from the general user terminals 11 to 13 and the registered user terminals 21 to 23 in the other company's platform system server 41, and reads out the requested content from the platform system database 45. To the requesting terminal. The platform system database 45 is a database that stores a plurality of contents created by arbitrary software.

  The autonomous learning support system server 51 is an autonomous learning support system server that is connected to the network 31 and uses arbitrary software in the same manner as the other company's platform system server 41, and has at least one server device. The system has an autonomous learning support system interface 53, an autonomous learning support database 55, and a server control unit 57, is connected to the network 31, and is a system capable of editing content.

Further description will be given below with reference to FIG. 5 which is a block diagram showing a functional block of the outline of the server as an example of the learning support method according to the present invention.
The autonomous learning support system interface 53 receives a response (answer) to the content input in the general user terminals 11 to 13 and the registered user terminals 21 to 23 in the autonomous learning support system server 51, and receives the autonomous learning support database. 55 is stored.

  The autonomous learning support system interface 53a of the autonomous learning support system server 51 includes a data format recognition unit 502 for dealing with various systems and various terminals, and for discriminating individual learners, general users, and registered users. A user terminal recognition / identification unit 501 is included. The autonomous learning support system interface 53b is another company's platform cooperation interface in order to operate the system of the present application satisfactorily on the other company's platform system.

  The content database 55a of the autonomous learning support database 55 includes content data 511, course / curriculum data 512, and a metadata labeling sheet 513. The metadata labeling sheet 513 is accompanied by an effect authority by the administrator. The e-portfolio database 55b includes a target setting sheet unit 531, a strategy writing sheet unit 532, a growth / evaluation sheet unit 533, and a growth / evaluation summary sheet unit 534. The sheet portion 533 and the growth / evaluation summary sheet portion 534 are not included, and only the mark setting sheet portion 531 and the strategy writing sheet portion 532 are included. A target setting sheet unit 531, a strategy writing sheet unit 532, a growth / evaluation sheet unit 533, and a growth / evaluation summary sheet unit 534 are entered in the first and subsequent minutes 522.

  The server control unit 57 includes a learning history / content management function unit 57a, an e-portfolio setting function unit 57b, and an analysis / proposal function unit 57c. The learning history / content management function unit 57a controls learning history and content input, output, and storage. The e-portfolio setting function unit 57b further includes an e-portfolio reflection frequency setting function unit 551 for setting a frequency for reviewing past data being learned, and an e-portfolio disclosure level for setting a level of disclosure of learner data to others. A setting function unit 552 is included. The analysis / suggestion function unit 57c includes a metadata analysis unit 561 that analyzes metadata for content and its reaction, and a learning content / course recommendation that proposes a new course or suggests motivation from various analysis results. / Has a motivational function unit 562

  The learning supporter terminal 61, the content creation / scorer terminal 71, and the mentor (contributor) terminal 81 may basically have the same configuration as the general user terminals 11 to 13 and are connected to the network 31.

  The learning supporter terminal 61 receives the content data, the learner's response (answer) to the content data, and the output contents thereof, creates instruction contents with reference to the reaction and output contents, and creates an autonomous learning support system server 51. Send to. Note that only one learning supporter terminal 61 is shown in FIG. 4, but a plurality of learning supporter terminals 61 may be provided. In addition, when there are a plurality of learning supporter terminals 61, for example, the learning supporter terminals 61 may be distributed to a plurality of terminals, for example, divided into a plurality of levels, divided into stages, or separated from a highly specialized field.

  The content creation / scorer terminal 71 is a terminal of a content creator and an authoritative researcher in the field of the content, and is a terminal for adding metadata to the content and for adding / updating the content. If metadata is given only by the content creator, it may not be noticed even if there is a bias or error, but it is supervised by an authoritative researcher's terminal, so there is less bias and error, and more advanced metadata Can be granted.

  The mentor (contributor) terminal 81 is a terminal for acquiring the contents described from a third-party standpoint or neutral standpoint, and the metadata for the contents has a bias or abnormal content On the other hand, even if the content learner side or the learning supporter has a question, the objection may not be transmitted. For this reason, a mentor (contributor) terminal 81 is provided so that third-party opinions and neutral opinions can be obtained.

FIG. 6 is a diagram showing an example of a processing flow in the system of FIG.
The content creator creates content at the content creation / authoritative terminal 71, establishes initial metadata, attaches it to each content, and transmits it to the autonomous learning system server 51 (S50). The autonomous learning system server 51 transmits the received initial metadata accompanying content to the contributor terminal 81 (S52). The contributor terminal 81 performs addition / revision on the received initial metadata-attached content, and transmits the addition / revision metadata-attached content to the autonomous learning system server 51 (S54). If the authority is not involved in the creation of the initial metadata-accompanying content, the initial metadata-related content is transmitted to the authority terminal 71 before being transmitted to the contributor terminal 81, and The authority performs the addition / revision and transmits the content with the addition / revision metadata to the autonomous learning system server 51.

  Next, the autonomous learning system server 51 transmits the added / revised metadata accompanying content received (S55) to the user terminals 11 to 23 of the learner (S56). The learner selects / fills the response (answer) to the received / revised metadata-accompanying content received (S57) and transmits it to the autonomous learning system server 51 (S58).

  The autonomous learning system server 51 carries out statistical processing from the response (answer) to the received / revision metadata-attached content received (S59), the original content, history, metadata attached to the past similar content, etc. (S60). Then, output contents based on each metadata are detected from the result of the statistical processing (S61). The autonomous learning system server 51 transmits the added / revised metadata-accompanying content, the response (answer) to the content, and the output content based on each metadata to the coach (learning supporter) terminal 61 (S62).

  The coach (learning supporter) terminal 61 creates instruction contents for the reaction and the output contents from the received / revision metadata-attached content received (S63), the response (answer) to the content, and the output content based on each metadata. And it transmits to the autonomous learning system server 51 (S64).

  The autonomous learning system server 51 calculates the history data and meta data of the learner from the received instruction content (S59), the additional / revised metadata accompanying content, the response (answer) to the content, and the output content based on each metadata. The data record is updated (S66). And the autonomous learning system server 51 transmits the result (guidance content) with respect to reaction (answer) and the output content based on each metadata to the learner's user terminals 11-23 (S67). At that time, the autonomous learning system server 51 transmits the learner's assignment, new goal, new schedule, new content (problem), etc. to the learner as necessary.

  The learner can deepen learning problems and future learning based on the received instruction content (S68) and the output contents based on each metadata. That is, the learner can obtain additional information such as objective advice with high degree and little variation.

  Thereafter, as shown in FIG. 7 and FIG. 8, if the learner has questions about the received instruction content (S68), the learner's tasks, new goals, new schedule, etc., the coach (learning) Instructor consultation 1 is sent to coach (learning supporter) terminal 61 for the supporter (S69), and the answer is sent (S70). (S71) and have the answer sent (S72) Other learners of the same goal or the same level: User (or learner group: user group) Same level consultation 3 By sending (S73) to the user terminals (11 to 23) and sending them answers (S74), it is possible to obtain a more effective learning method or to acquire motivation for learning to overcome weaknesses. It is.

  As described above, according to the embodiment of the present invention, it is possible not only to supply additional information such as advice with high degree and less variation to the learner, but also to reduce the man-hours and time on the learning supporter / instructor side and finally learn. The increase in cost can be suppressed, and the problem creator / operator can reduce the man-hours for creating, adding and changing support tables for each content, and the content is increased or changed In addition, it is possible to provide a learning support method, a terminal device program, a support server program, a storage medium, and a terminal device that can suppress an increase in the amount of change work such as a support table.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be added to the above-described embodiment. It is apparent from the scope of the claims that the embodiments added with such changes or improvements can be included in the technical scope of the present invention.

11-13 General user terminal,
21-23 registered user terminals,
31 network,
41 Other platform system server,
43 platform system interface,
45 platform system database,
51 autonomous learning support system server,
53 Autonomous learning support system interface,
55 Autonomous learning support database,
61 Learning supporter terminal,
71 Content creation / grading terminal,
81 Mentor (contributor) terminal,
101 CPU (Central Processing Unit),
102 ROM (read only memory),
103 RAM (Random Access Memory),
104 Communication interface (I / F),
105 hard disk (HD) drive,
106 floppy (registered trademark) disk (FD) drive,
107 CD-ROM drive,
108 Input / output (I / O) chips,
109 graphic controller,
110 display device,
111 main controller,
112 input / output (I / O) controller;
115 external memory input / output unit,
150 floppy disk (FD),
160 Compact Disc (CD),
170 external memory chip,
212 control unit,
213 display unit,
214 input section,
215 storage unit,
216 External storage device interface (I / F),
217 communication interface (I / F),
221 system control program section,
222 content data section,
223 learner data section,
231 Metadata processing program part,
232 metadata part,
233 learning history section,
234 Metadata history part.

Claims (12)

A learning support method for supporting learning by content data using an input / output information processing apparatus,
Metadata associated with the content data and output contents based on the metadata are preset,
The information processing apparatus is
Detecting the metadata from the content data and correspondingly input by the learner;
Storing the detected metadata;
Outputting the output content based on the metadata;
A learning support method characterized by carrying out In the step of outputting the output content based on the metadata,
Reading the output content corresponding to the metadata;
Outputting the output contents;
The learning support method according to claim 1, further comprising: In the step of outputting the output content based on the metadata,
Performing statistical processing together with the stored past metadata;
Reading the output content corresponding to the statistical result of the above step;
Outputting the output contents;
The learning support method according to claim 1, further comprising: The information processing device is a terminal device connectable to a support server via a communication network;
The terminal device is
Communicating with a support server connected via a communication network;
Sending the stored metadata to the support server;
Carried out
The support server is
Receiving metadata from the terminal device;
Storing the received metadata; and
Calculating the received metadata and the metadata stored in the past;
Outputting the output content based on the processed metadata to the terminal device;
Carried out
A terminal device receiving the output content from the support server;
Outputting the output content;
The learning support method according to claim 1, wherein the learning support method is performed. In the step of processing the metadata by the support server,
The learning support method according to claim 4, wherein the metadata is statistically processed. In the step of processing the metadata by the support server,
The learning support method according to claim 4 or 5, wherein a degree of achievement with respect to a preset target value is obtained using the metadata. In the step of processing the metadata by the support server,
The learning support method according to any one of claims 4 to 6, wherein the estimated date of arrival at each stage of a necessary item for reaching a preset target value is obtained using the metadata. In the step of processing the metadata by the support server,
The learning support method according to claim 7, wherein an evaluation of a terminal user is obtained using the metadata, a past achievement level, and a scheduled date.   The program for terminal devices which performs each step in the terminal device of the learning assistance method of Claims 1-8.   A support server program for executing each step in the support server of the learning support method according to claim 4.   The storage medium which memorize | stores the program which implements the step in the terminal device of the learning assistance method of Claims 1-8. A terminal device including an output device capable of outputting at least one of display output and voice output, and an input device capable of inputting at least one of image input, voice input, and character input,
A support program storage unit in which the program of claim 9 is installed;
A metadata detection unit for detecting the metadata from the content data associated with the corresponding metadata in advance and the content correspondingly input from the input device;
An output content storage unit for storing output content based on the metadata;
A metadata storage unit for storing the detected metadata;
A control unit for obtaining the output content based on the detected metadata;
An output unit that outputs the output content based on the metadata to the output device;
A terminal device comprising:

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