JP2022130385A - electronic learning program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To realize iterative learning.

SOLUTION: What the inventor of the present application has focused on is that a trigger for attracting attentions of learners is an inconsistency between visual and auditory expressions. For example, character strings of a question are provided in common to both of learners. Contrary to this common-ness, speeches of both learners may be made differently. One speech may be made in one local dialect manner, meanwhile the other speech may be made in the other local dialect manner. Thus, the character strings provided in common may make different speeches through both learners.

SELECTED DRAWING: Figure 12

COPYRIGHT: (C)2022,JPO&INPIT

Description

Pertinent to the present invention are electronic learning programs.

In recent years, electronic learning (so-called “e-learning”) has been adopted in educational settings.
learning")") system. One of the advantages of electronic learning systems is the homogenization of instruction. Patent Document 1 discloses a foreign language acquisition support system. This system provides foreign language learning content.

The teacher's alter ego (hereinafter referred to as "Avat") is frequently used in electronic learning systems.
ar ")". ). One of the purposes is to arouse the desire to learn. A decline in motivation to learn causes a decline in comprehension. Patent Document 2 discloses a learning/life support system. Avatar comments are used in this system. This avatar comment responds to a user comment. What is aroused in such conversations is the user's desire to learn. What is disclosed in Patent Document 3 is a learning support system. Used in this system are attributes of the teacher avatar and attributes of the student avatar. Matching the attributes of the teacher avatar are the attributes of the student avatar. It is thereby the compatibility between the teacher avatar and the student avatar that the support system optimizes.

JP 2019-152761 JP 2015-102994 JP 2019-86602

The problem to be solved by the present invention is the realization of iterative learning. Specifically, how to attract the interest of learners.

Based on the above, the inventors of the present application focused on the fact that the gap between the visual representation and the auditory representation is the trigger that attracts the learner's interest. The definition of the present invention from such a point of view is as follows.

The processing performed by the computer with the electronic learning program is at least an input and an output. That is, when the lecturer is input, or when the input lecturer is accepted, the character string and the voice are output in parallel (synchronously). Associated with the string and voice is the input instructor. Representing one of said character string and said sound is
It is a common language. It is the characteristic word that expresses the other.

What the present invention enables is to implement iterative learning. In other words, different visual representations and auditory representations attract the learner's interest. By attracting the learner's interest, the lecture contents are learned repeatedly.

What is shown here is a use case of the system (this system) according to this embodiment. Shown here is the configuration of this system. Shown here is the hardware configuration of the computer. Shown here is the configuration of the instructor list screen. Shown here is the configuration of the learning unit screen. The configuration of the learning screen is shown here. Shown here is the configuration of the lecturer database, specifically, (a) basic database, (b) image database, and (c) voice database. Shown here is the configuration of the learner management database. Here is the flow of the electronic learning program. Shown here is an example of the instructor list screen, specifically, (a) an example at the time of no operation and (b) an example at the time of a single tap. Shown here is an example of a learning unit screen. Shown here are examples of the learning screen, specifically, (a) an example when the instructor avatar "Mr. Omame" is selected, and (b) an example when the instructor avatar "Mr. Rice" is selected.

<Use case>
FIG. 1 shows a use case of a system according to this embodiment (hereinafter referred to as "this system"). The application of this system 1 is learning. The content of the study is not required, but is preferably other than language study. A person who uses the system 1 is a learner.

The learner chooses the instructor and the unit of study. One criterion for selecting the instructor is
The difference is the language used. On the other hand, one of the criteria for selecting the relevant learning unit is the presence or absence of course completion. Below, a learning unit may be called a "unit."

A learner recognizes character strings and sounds. A character string is visual information that indicates the contents of a learning unit. Speech refers to auditory information that indicates the content of a learning unit.

Common words represent one of character strings and sounds, and feature words represent the other. A lingua franca is a language whose scope is the whole of a nation. A feature word is a language and means something other than a common language. Examples of characteristic words are local words and individual words. A local language is a language whose scope is a part of a country. For example, in Japan, the common language is the national language of Japan (in other words, the language adopted by the educational system of the country; hereinafter referred to as the "national language"). In contrast, the local language is a dialect. Examples of dialects include Hokkaido dialect, Tsugaru dialect, Niigata dialect, Kansai dialect, and Kagoshima dialect. The number of candidates for the local language is two or more. An individual word is a language whose user is a specific individual (eg, a celebrity) or individual (eg, a cartoon character).

<System configuration>
FIG. 2 shows the configuration of this system. The system 1 consists of a terminal device 10
and processing device 20 . A network 30 connects the terminal device 10 and the processing device 20 . A description of these devices follows.

<Terminal device>
Various values (data) are input to or output from the terminal device 10 . Examples of input values (input values) include the selected lecturer and study unit. Examples of output values (output values) include the aforementioned character strings and voices.

The terminal device 10 is composed of a computer, an input device, and an output device. Connected to the computer are the input device and the output device. Details of these parts will be described later. Examples of the terminal device 10 include a personal computer (PC), a smart phone, a tablet, and a dedicated learning device.

<Processing device>
Various values are processed by the processor 20 . That is, the result of processing an input value is an output value. For example, text strings and voices are obtained by processing lecturers and study units.

Comprised of processing unit 20 is a computer and a mass storage device. Connected to the computer is the mass storage device. Stored in the mass storage device are the input values and the output values. Details of these parts will be described later. An example of the processing device 20 is a management server or the like.

<Network>
Network 30 refers to a communication network. Examples of the network 30 include a local area network (LAN), a wide area network (WAN), machine-to-machine communication (M2M), and the like.

<Computer hardware configuration>
FIG. 3 shows the hardware configuration of the computer. The computer 40 is composed of an input/output unit 41 , a communication unit 42 , a program storage unit 43 , a temporary storage unit 44 and a processing unit 44 . These components are bus-connected to each other. The computer 40 is mounted on the terminal device 10 and the processing device 20 . A description of these parts follows.

<Input/output unit>
Various data are exchanged by the input/output unit 41 . Connected to the input/output unit 41 are:
Examples of various devices include input devices, output devices, and external storage devices. Examples of input devices include touch panels, operation keys, buttons, keyboards, and mice. Examples of output devices include audio output devices (e.g., speakers), vibration output devices (e.g.,
haptic devices, etc.), display devices (eg, liquid crystal displays, organic EL displays, etc.), and the like. Examples of external storage devices include magnetic storage devices (HDD, etc.), optical storage devices (CD, DVD, BD, etc., including their drive devices), and semiconductor storage devices (USB memory, SD card memory, SSD, etc.). be.

<Communication part>
Various data are transmitted and received by the communication unit 42 . Connected to the communication unit 42 is the network 30 . Examples of the communication unit 42 include a dial-up connection module, a Wi-Fi module, a Bluetooth (registered trademark) module, and the like.

<Program memory>
Various programs are stored in the program storage unit 43 . Program storage unit 4
3 is embodied by a non-volatile memory device (eg, ROM, etc.) and a non-volatile memory device (eg, HDD, SSD, etc.). Stored in non-volatile storage is the base program (including the data it requires). Examples of basic programs include a basic input/output system (BIOS), an operating system (OS) setting program, a network setting program, and the like. Stored in the non-volatile memory are:
An operating system (OS) and application programs. Examples of operating systems (OS) include Windows "Windows" (registered trademark), Linux "Linux" (registered trademark), android "Android" (registered trademark). An example of an application program is an electronic learning program, which will be described later.

<Temporary memory>
Various programs and various data are temporarily stored in the temporary storage unit 44 . Various data indicate input values, output values, and the like. Various programs are as described above.
An example of the temporary storage unit 44 is a volatile storage device (eg, RAM, etc.).

<Processing unit>
Various programs are executed by the processing unit 44, and various data are processed. By executing various programs, input values are processed and become output values. A central processing unit (so-called CPU) embodies the processing unit 44 . Commonly built into the central processing unit is a clock function.

<Instructor list screen>
FIG. 4 shows the configuration of the lecturer list screen. The instructor list screen 50 is mainly composed of a background portion 51 and an instructor list portion 52 . What does not matter in this embodiment is the location of these screen components.

Various types of information are displayed or output (hereinafter also simply referred to as “display”) in the background portion 51. Examples include lecture titles, learner names, current date and time, and the like. The source of the learner's name is
It is a learner management database to be described later. The source of the current date and time is irrelevant, but for example,
These include the timekeeping function of the terminal device 10, GPS data, and the like.

At least the instructor avatar is displayed in the instructor list portion 52 . Instructor avatar
Thumbnails are displayed. The source of the instructor avatar is the instructor database, which will be described later. What the instructor list section 52 has is an activation function. That is, by operating the lecturer list section 52, a learning unit screen, which will be described later, is output. In addition, the operation of the lecturer list section 52 allows:
It is to display instructor attributes. Examples of instructor attributes include hometown, gender, personality, and the like.
The source of the attributes is the instructor database, which will be described later.

<Learning unit screen>
FIG. 5 shows the structure of the learning unit screen. The learning unit screen 60 is mainly composed of
A background portion 61 , a learning history portion 62 , and a learning unit portion 63 . What does not matter in this embodiment is the location of these screen components.

Various types of information are displayed in the background portion 61. Examples include lecture titles, learner names, current date and time, and the like. The learner's name and the source of the current date and time are as described above.

Various types of information are displayed in the learning history section 62, and an example is a progress rate. What the learning history unit 62 has is an activation function. That is, by operating the learning history section 62, the details of the learning history (for example, the progress of each item) are output. The source of the learning history is the learner management database, which will be described later.

What is displayed in the learning unit section 53 is at least the name of the learning unit. What is arbitrarily displayed in the learning unit section 53 is the name of the lecturer. What the learning list section 53 has is an activation function. That is, by operating the learning list portion 53, a learning screen, which will be described later, is output.

<Learning screen>
FIG. 6 shows the configuration of the learning screen. The learning screen 70 is mainly composed of the background part 7
1, a lecturer avatar section 72 and an image section 73 . What does not matter in this embodiment is the location of these screen components. A voice 80 is output in parallel with or in synchronization with output of the learning screen 70 .

Various types of information are displayed in the background portion 71, and examples thereof include the names of learning units. The source of the learning unit name is the screen element of the learning unit section 63 .

At least the instructor avatar is displayed in the instructor avatar section 72 . The source of the instructor avatar is the instructor database, which will be described later. What the operation of the lecturer avatar section 72 permits is to display the aforementioned lecturer attributes.

At least an image is displayed on the image portion 73 . The images show visual information for each learning unit. Character strings and graphics constitute the visual information. The character string 73a displayed as such is a so-called caption. The image is a still image or a moving image. By operating a portion of the image portion 73, the image is displayed or stopped.

Shown by audio 80 is auditory information for each learning unit. Synchronized with the output of voice 80 is the display of character string 73a. By operating a part of the image portion 73, the sound 80 is output or the output is stopped.

<Relationship between character string and voice>
One of the character string 73a and the voice 80 is expressed by a common word, and the other is expressed by a characteristic word. When the common word and the feature word are output in parallel (synchronously), it is the meaning of the feature word that corresponds to the meaning of the common word. In other words, the result of translating the feature word is the common word. If the meaning of the characteristic word is unknown, the learner refers to the meaning of the common word.

In this embodiment, the character string 73a is expressed by the common language, more specifically, the national language. On the other hand, the speech 80 is expressed by the characteristic word, specifically, a local language (for example, a dialect, hereinafter the same). This is because one element that characterizes the local language is the intonation of the sound.

<Lecturer database>
FIG. 7 shows the configuration of the lecturer database, specifically, (a) basic database, (b) image database, and (c) speech database.

A basic database consists of one or more records. Each record has two or more fields. Listing the attributes (attribute name and attribute value pairs) of each field is instructor ID, instructor avatar, image, voice, question, and other additional attributes. The value of each attribute is either a string or a pointer.

An image database consists of one or more records. Each record has two or more fields. The attributes of each field (a set of attribute name and attribute value) are listed for image and unit 1 to unit N. FIG. The value of the image indicates the value (pointer) of the image in the underlying database. The values of unit 1 to unit N indicate image files, specifically still image files or moving image files. What does not matter in this embodiment is the format of the image file. For example, the image file adopts a non-compressed format and a compressed format.

A voice database consists of one or more records. Each record has two or more fields. Attributes of each field (a set of attribute name and attribute value) are listed for voice and unit 1 to unit N. FIG. The speech value indicates the speech value (pointer) in the basic database. The values of unit 1 to unit N respectively indicate audio files. What does not matter in this embodiment is the format of the audio file. The audio file adopts an uncompressed format and a compressed format.

<Learner management database>
FIG. 8 shows the configuration of the learner management database. One or more records constitute the learner management database. Each record has two or more fields. Attributes of each field (attribute name and attribute value pairs) are enumerated as learner ID, password, learner name, final image, final voice, playback position, completion flag, and other additional information. The value of the final image indicates one of the attribute values (unit 1 to unit N) in the image database. What is indicated by this attribute value is the image that was output last or most recently (hereinafter also simply referred to as “finally”). The value of the final speech indicates one of the attribute values (values of unit 1 to unit N) in the speech database. This attribute value indicates
This is the last output sound. The value of the playback (output) position indicates the position (frame address) of the last output image and sound. The completion flag indicates whether or not all units have been output. Here, one lecturer ID is associated with all the units concerned.
is. The completion flag value "1" indicates that all units have been output. on the other hand,
A completion flag value of "0" indicates that all or some of the units have not been output.

<Electronic learning program>
Shown in FIG. 9 is the flow of the electronic learning program. The electronic learning program is mainly composed of lecturer input processing (S1), unit input processing (S2), and output processing (S3). The processing device 20 mainly executes the program. Terminal device 10 processes instructions and data from processing device 20 . Details of these processes are as follows.

<Lecturer Input Processing (S1)>
The purpose of the Instructor Input process is to select an instructor. The time at which this process is executed is when the electronic learning program is started. Specifically, it is as follows.

Output the lecturer list screen. FIG. 10 shows an example of the instructor list screen. The instructor list screen consists of the lecture name "Vegetable Institute", the learner name "Kagome Tomato", the current date and time "January 1, 2020", and the instructor list (Fig. 10 (a) see.)
. The instructor list is made up of the instructor avatars "Mr. Omame" and "Mr. Yonesaku". These are displayed as thumbnails.

Selecting the instructor avatar (eg, single tapping) displays instructor attributes. for example,
When the lecturer avatar “Mr. Omame” is selected, the attribute “from Hokkaido” of the lecturer “Mr. Omame” is displayed (see FIG. 10(b)). If you select the lecturer avatar "Yonesaku-sensei", the lecturer "Yonesaku-sensei"
display the attribute "Niigata Prefecture". When the instructor avatar is selected again (for example, by double-tapping), the instructor input processing (S1) ends.

Associated with the selectable tutor avatars upon initial activation is the voice of the feature word. In other words, what the learner always hears at the first time of learning is the feature word. At this time, the processor 20 refers to the attribute values of the learner management database, specifically the value of the final image or the final voice. If these values do not exist (e.g. "Null"
), and the number of past learning times is the first time. From the second time onwards, such restrictions are lifted.
That is, associated with one of the selectable tutor avatars is a common language voice.

After the initial learning, the selectable tutor avatars are further restricted. Associated with the initially selected instructor avatar are multiple units. Other instructor avatars cannot be selected until all of the plurality of units are output. At this time, the processor 20 refers to the attribute value of the learner management database, specifically the value of the completion flag. If the value of the completion flag is "0", no other lecturer avatar is selected. For example, other lecturer avatars are grayed out. On the other hand, if the value of the completion flag is "1", another lecturer avatar is selected.

<Unit Input Processing (S2)>
When the teacher avatar is selected in S1, a learning unit screen is output. FIG. 11 shows an example of a learning unit screen. The learning unit screen consists of the lecture name “Vegetable Institute”, the learner name “Kagome Tomato”, the current date and time “January 1, 2020”, and the learning history “learning progress rate 8
0%” and a learning unit list. The learning unit list consists of the learning unit names “1st: Beans are amazing!”, “2nd: Tomatoes are also amazing!”, “3rd: Good things about eggplants”, and “4th: I love green peppers.” , and "confirmation test". The name of the lecturer "Omame-sensei" is also displayed. When the learning unit name is selected, the unit input process (S2) ends.

<Output processing (S3)>
When a learning unit name is selected in S2, a learning screen is output. FIG. 12 shows an example of the learning screen. Specifically, it is as follows.

As shown in FIG. 12(a), when the lecturer avatar "Mr. Omame" and the learning unit name "2nd Tomatoes are great!" are selected, the learning screen is composed of the lecturer avatar "Mr. Omame". , the name of the learning unit “The second tomato is also amazing!”, the image “Tomato pattern”, and the character string “Where will you do it? Output in parallel (synchronization) with the output of this character string is the voice "Where are you going to do it? Isn't it here?". In other words, the common language (national language) "Where are you doing it? Here is it?" expresses the character string. On the other hand, voice is expressed by a characteristic word (Hokkaido dialect), "Where are you doing it? Isn't it here?"

On the other hand, as shown in FIG. 12(b), when the lecturer avatar “Mr. teacher", the name of the learning unit "The second tomato is also amazing!", the image "pattern of tomato", and the character string "Where is it done? Here." What is output in parallel (synchronization) with the output of this character string is the voice "Where are you doing it? Here it is.". In other words, the common language (national language) "Where are you doing it? Here is it?" expresses the character string. On the other hand, speech is represented by feature words (
Niigata dialect) ``Where are you going?

Comparing FIGS. 12(a) and 12(b), both character strings are commonly the national language "Where will you do it? Here.". On the other hand, the voices of both are different. One voice is the Hokkaido dialect, "Where are you doing it? Isn't it here?" The other voice is the Niigata dialect, ``Where are you going? In other words, although the character strings of both are the same, the voices of the two are different.

The output process (S3) ends when the output of one unit is stopped or when the output of one unit is completed.

When the output of one unit is stopped, what is stored in the learner management database is the value of the final image, the value of the final audio, and the value of the playback position.

When the output of one unit is completed, if there is no unoutputted unit (if the output of all units is completed), the instructor input process (S1) is executed. In this case, the completion flag value "1" is stored in the learner management database. In other words, what the instructor list screen allows is the selection of other instructor avatars.

On the other hand, when the output of one unit is completed, if there are any unoutput units remaining, the unit input process (S2) is executed. In this case, the completion flag value "0" is stored in the learner management database.

<Modification>
This embodiment does not exclude (1) the character string is a local language (dialect) and the voice is a common language (Japanese national language), and (2) execution of the instructor input process (S1) is unit input processing (
and (3) the feature word is an individual word. In these cases,
The configuration of the lecturer database is also changed as appropriate.

<Effects of this embodiment>
As described above, the common language (the national language of Japan) expresses character strings, and the local language (Hokkaido dialect, Niigata dialect, etc.) expresses voice. As a result, when one of the local languages (Hokkaido dialect) is output, the learner's interest is attracted. What this learner wants to hear is another local language (Niigata dialect). Even if both local languages are output, the character strings are both common languages (the national language of Japan). In this case, the number of times the same character string is output is two. That is, the same learning unit is repeatedly learned.

At the first time of learning, the strings or sounds are always local language. In other words, what learners always hear is the local language. As a result, the learner's interest is highly certain and attracted.

After the first study, once one teacher avatar is selected, no other teacher avatar can be selected until all units related to this avatar are output. It forces the learner to study all the units. That is, all learning units are learned with high accuracy.

Fields in which the present invention is useful are various (eg, corporate auditing, financial accounting, information management, environmental, quality control, health awareness, etc.) educational projects.

Claims (8)

An electronic learning (other than language) program whereby a computer performs the following processes:
Input: Input is a lecturer, and what is displayed at that time is a candidate for the lecturer, and
Output: At least character strings and voice are output in parallel, and
Associated with the string and voice is the input instructor, and
It is the common word that expresses the character string, and the feature word that expresses the sound. The program of claim 1, whereby the computer executes the following processes:
Second input: what is input is a learning unit, and what is displayed at that time is a candidate for the learning unit, and
What is indicated by the character string and voice is the content of the input learning unit. The program of claim 2,
The condition for inputting another instructor instead of one instructor is that the output of all learning units is completed, and
Associated with all such learning units is the one instructor. The program according to any one of claims 1 to 3,
The common language is the national language of Japan, and
The characteristic word is a local language of Japan. An electronic learning (other than language) program whereby a computer performs the following processes:
Input: what is input is the selected lecturer avatar, and what is displayed at that time is the candidate lecturer avatar, and
Output: At least character strings and voice are output in parallel, and
Associated with the string and voice is an input selection result, and
It is the common word that expresses the character string, and the feature word that expresses the speech. The program of claim 5, whereby the computer executes the following processes:
Second input: what is input is a learning unit, and what is displayed at that time is a candidate for the learning unit, and
What is indicated by the character string and voice is the content of the input learning unit. The program of claim 6,
The condition for selecting another instructor avatar instead of one instructor avatar is that the output of all learning units is completed, and
Associated with the output of the learning unit is the one instructor avatar. The program according to any one of claims 5 to 7,
The common language is the national language of Japan, and
The characteristic word is a local language of Japan.

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