KR100792633B1 - Study Management System For On-line Education And Study Management Method Thereof - Google Patents

Abstract

The present invention relates to a learning management system for online education and a learning guidance method using the same. More specifically, it extracts audio and video information necessary for learning of a learner before starting a real-time learning through online and makes a database. After the initiation of the study, the student's database information is compared with the learner's real-time video and audio information. The present invention relates to an online learning management system capable of deriving and learning method using the same.

Online, learning, learning

Description

Learning Management System for Online Education and Teaching Method Using the Same. {Study Management System For On-line Education And Study Management Method Thereof}

1 is a system configuration diagram schematically showing a learning management system for online education according to the present invention.

2 is a flowchart schematically showing a learning instruction method according to a preferred embodiment of the present invention.

3 is an exemplary view illustrating audio information comparison determination of a comparison detection server according to a preferred embodiment of the present invention.

4 is an exemplary view illustrating video information comparison determination of a comparison detection server according to a preferred embodiment of the present invention.

<Description of the symbols for the main parts of the drawings>

10: learner terminal 20: educator terminal

30: learning management system server 310: web server

320: Learning Control Server 330: DB Server

340: comparison detection server 350: multimedia server

The present invention relates to a learning management system for online education and a learning guidance method using the same. More specifically, it extracts audio and video information necessary for learning of a learner before starting a real-time learning through online and makes a database. After learning starts, compare and analyze the learner's database information and the learner's real-time video and audio information while learning, and if the audio and video information that is not necessary for inconsistent learning is detected, alert the learner and educator to focus on education. The present invention relates to an online learning management system capable of deriving and learning method using the same.

With the development of internet technology, real-time interactive education, which was previously only available offline, can be obtained online. Therefore, if the situation is equipped with a system for education, real-time education is possible without restriction of the location and distance.

However, since the real-time education through the online is inevitably dependent on the monitor of the learner, the instruction of the learner who is taking the class is extremely limited, unlike the education on the offline.

In particular, when the relationship between the educator and the learner is one-to-many, it is almost impossible for the learner to control the educator. There was a problem that the effect could not be achieved.

The present invention has been made to solve the above problems, the object of the present invention is to detect when the learner unnecessary words or actions to learn and notify the educator to induce the learner to concentrate the learning efficiency The present invention provides a learning management system for online education that can be enhanced and a learning guidance method using the same.

In order to achieve the above object, the learning management system for online education according to the present invention is an online education system that transmits education multimedia information of an educator to a learner terminal in real time through at least one learner terminal and an educator terminal with internet access. In the present invention, a learning state database (DB) is constructed by extracting audio and video information required for learning transmitted from the learner terminal before the start of learning, and after the start of learning, the constructed learning state DB and the learner's audio and video information are constructed. Characterized in that it comprises a learning management system server for transmitting a warning signal to the learner terminal and the educator terminal in case of inconsistency by real time comparison analysis.

The learning management system server may include a web server for providing education contents by allowing web access between the learner terminal and the educator terminal; A learning state database (DB) constructed with audio and video information of learners transmitted from the learner terminal before the start of learning, a database server for storing and managing learner and educator information DB, and various class information DBs and the educator terminal in real time. The learning attitude is poor according to the discrepancy by comparing the multimedia server for transmitting the multimedia information of the educational content transmitted to the learner terminal with the learner's audio and video information transmitted from the learner terminal in real time and the learning state DB stored in the database server. And a learning control server for controlling whether the comparison detection server detects whether the entire system and the comparison detection server controls the warning signal transmission to the learner and the educator terminal when the comparison detection server notifies the learning attitude failure.

In addition, the comparison detection server receives the sound required for learning from the learner terminal before the start of learning, and stores the frequency data extracted from the frequency component in a database server as a text file or an image file, and of the audio information transmitted in real time after the start of learning. Comparing and analyzing the frequency data to determine whether there is a mismatch.

In addition, the comparison detection server receives the posture of the learner's posture image before the start of learning, transforms the image by converting pixels other than the contour to 0 depth for the image extracted by the segmentation process, and divides the image. It is characterized in that the contour data for the image is stored in the database server as a text file or an image file, and by comparing and analyzing the contour extraction data of video information transmitted in real time after the start of learning, it is determined whether there is a mismatch.

And, the learning state DB stored in the database server is characterized in that it comprises a learner identification information.

The learning control server extracts learner information mapped to learner identification information included in the learning attitude DB of the inconsistent learner when the learning state is notified from the comparison detection server, and transmits a warning signal to the learner terminal and the educator terminal. Characterized in that.

Here, the warning signal is characterized in that composed of voice and / or video message data.

On the other hand, the online learning method according to the present invention is an online education method for transmitting the multimedia information of the educator to the learner terminal in real time through at least one learner terminal and the educator terminal, (a) learner audio required for learning before the start of learning And receiving the input of video information and transmitting the same to the learning management system server, and (b) storing the transmitted audio and video information in a database server to construct a learning attitude database. At the same time, the audio and video information of the learner is transmitted to the education management system server in real time. (D) The comparison detection server compares the audio and video information transmitted in real time with the learning attitude database stored in the database server. Determining whether the learning status is bad; and (e) learning status. If poor is characterized in that comprises the step of learning the control server sends a warning signal to the students and educators terminal.

Here, the step (a) includes the step of requesting input of audio information necessary for learning through the interface of the learner terminal before the start of learning; Inputting a sound required for the learning; And digitally processing the input audio information to a learning management system server.

In addition, the step (a) comprises the step of requesting the posture video information required for learning through the learner interface before the start of learning; Inputting a posture image necessary for the learning; And digitally processing the input posture image to a learning management system server.

In addition, the step (b) comprises the step of extracting the frequency component of the audio information transmitted from the learner terminal by the comparison detection server; And storing the extracted data of the frequency component in a database server as a text file or an image file.

In addition, the step (b) comprises the step of the comparison detection server segmentation the posture attitude image of the learner transmitted from the learner terminal; Dividing the segmented image; And storing the contour data of the divided image in a database server as a text file or an image file.

 And, step (d) includes the step of the learning control server is notified of the learning state failure from the comparison detection server; Extracting learner information mapped to learner identification information included in a learner's learning attitude DB of the learner in which the learning state defect is detected; And transmitting a warning signal to the extracted learner terminal and the educator terminal about a bad learning state.

Hereinafter, the specific configuration and operation of the present invention will be described in detail with reference to the drawings and the embodiments.

1 is a system configuration diagram schematically showing a learning management system for online education according to the present invention.

Referring to FIG. 1, the learning management system for online education according to the present invention includes at least one learner terminal 10 and a learning management system server configured to control online education of the educator terminal 20 in real time.

The learner terminal 10 and the educator terminal 20 can be anything as long as they can access the Internet, and the connection between the terminal and the learning management system server can be performed through a modem and a PSTN, or a wired and cellular method using a dedicated line or ISDN. It could be any means of accessing the Internet, such as wireless Internet access via a PCS, microwave or satellite network.

However, the learner terminal 10 and the educator terminal 20 should include an audio input / output device and a video input / output device to extract audio information and video information of the learner and the educator, and to reproduce the counterpart information.

In general, the audio input device is a microphone and the audio output device is a speaker. In addition, the video input device may be a video camera, an image camera, or the like, and the video output device may be a display device such as a monitor.

Learning management system server 30 according to the present invention includes a web server 310 to allow the web access of the learner terminal 10 and the educator terminal 20 to provide education content; A database server for storing and managing audio and video information of learners, learner and educator information, and various educational contents transmitted from the learner terminal 10; A multimedia server 350 for transmitting multimedia information of education contents transmitted from the educator terminal 20 to the learner terminal 10 in real time; A comparison detection server 340 for comparing and analyzing the learner's audio and video information transmitted from the learner terminal 10 in real time with the learner's audio and video information stored in the database server; It is configured to include a learning control server 320 to control the entire system, and to control the transmission of the warning signal to the learner and the educator terminal 20 when inconsistent information is input from the comparison detection server 340.

Here, the communication means between the web server 310, the learner terminal 10 and the educator terminal 20 uses a common communication means such as TCP / IP, User Datagram Protocol (UDP).

The comparison detection server 340 of the learning management system server 30 extracts the audio and video information necessary for the learner's education before the start of learning and stores the preprocessed learning attitude DB in the DB server 330, and the learner terminal after the start of the learning ( 10) compares the audio and video information transmitted in real time with the learning attitude DB stored in the DB server 330 and checks for a match to determine a learning state.

Here, the comparison detection server 340 determines that the learning state is bad when the real time audio and video information and the learning attitude DB do not match, and notify the learning control server 320 of this.

The learning control server 320 transmits a voice and / or video warning message to the learner terminal 10 and the educator terminal 20 when receiving the notification of the learner's poor learning status from the comparison detection server 340. Play a role in encouraging learning and focusing on learning.

2 is a flowchart schematically showing a learning instruction method according to a preferred embodiment of the present invention.

2, the learner and the educator access the web server 310 through login to set up a learning environment and prepare for learning.

Here, the DB server 330 of the learning management system server 30 should include the basic information DB for learners and educators to log in for learners and educators. After the learner and the educator log in, the educator prepares online lectures by loading various educational contents stored in the DB server 330 about courses, learner history, learning materials, learning progress, and learner information.

Next, the learner terminal 10 receives the input of the learner's audio and video information and transmits it to the learning management system server 30 before constructing the learner's learning attitude DB.

Here, the video information input is a step in which the learning control server 320 requests the learner's posture for inputting the video information through the interface of the learner terminal 10 and captures the posture of the learner's posture image and processes the digital data. It is configured to include the step of transmitting to the learning management system server (30).

Meanwhile, in the audio information input, the learning control server 320 requests input of sounds (for example, a keyboard, a mouse operation sound, and a writing instrument sound) required for the learner's learning through the interface of the learner terminal 10. And transmitting the converted digital data by signal processing the input analog audio information to the learning management system server 30.

Next, the learning state DB is constructed by preprocessing the input audio and video information to extract learning attitude information (S130).

Here, the pre-processing means that the comparison detection server 340 extracts the frequency component of the digital audio information that is signal-processed and transmitted with respect to the audio information, and extracts the contour information of the learner with respect to the digital video information that is signal-processed and transmitted with respect to the video information. I say that.

The preprocessed audio and video information is converted into a text file or an image file and stored in the DB server 330 to build a learning state DB of the learner.

Here, the audio and video information stored for building the learning state DB includes identification information of the learner terminal 10. Information about the learner terminal 10 should be able to specify the learner terminal 10, such as the ID or IP address of the learner terminal 10.

In addition, since the learner's learning state may change whenever the learner learns, the learner's learning state DB is generated every time learning starts, and the learning state DB is deleted every time the learning ends.

The audio and video information of the learner stored in the DB server 330 is input from the audio input device of the learner terminal 10, such as audio information necessary for learning, such as keyboard input sound, mouse click sound, and writing instrument writing sound before the start of learning. The posture image for the learner's learning is input from the video input device to receive the processed audio and video signals through the signal processing module, and the comparison detection server 340 preprocesses the audio and video signals to the DB server 330. Will be saved.

More specifically, when the analog voice signal is input through the audio input device of the learner terminal 10, the analog signal is converted into a digital signal by the ADC (Analog Distal Converter) of the signal processing module to the education management system server through the Internet network. Is sent. At this time, the comparison detection server 340 of the learning management system server 30 is a DB server (a text file or an image file) of the frequency spectrum data from which frequency components are extracted by a frequency extraction algorithm for the digitally converted voice data. 330 to store the learner's audio state DB before starting learning.

On the other hand, when an analog video signal is input through the video input device, the analog signal is converted into a digital signal by the ADC of the signal processing module and transmitted to the education management system server through the Internet network. In this case, the comparison detection server 340 of the learning management system server 30 extracts the contour corresponding to the learner's appearance using the contour extraction algorithm from the digitally converted and transmitted video image.

In a digital image composed of pixels, there is an edge when there is a sudden change in brightness and color of the image, and a point where the brightness (concentration) of the image changes from a low value to a high value or from a high value to a low value There is an outline at. Therefore, an outline exists around the learner's outline, and the segment is processed by extracting the outline by an outline extraction algorithm.

Here, the contour extraction algorithm corresponds to the process of finding the contour (edge) pixels, and since the edge refers to the part where the density value changes rapidly, a differential operation for examining the amount of change in the function is used for contour extraction.

There are 1st and 2nd laplacian derivatives, and you can use common operators such as Sobel mask, Prewitt mask, and Robert mask for differentiation. The detailed description of the differential process will be omitted.

In the image from which the contour is extracted, pixels other than the contour are transformed to zero depth, and the converted image is segmented by an image segmentation algorithm.

The number of images to be divided may be variously divided according to the state of the learner terminal 10. However, if the image is divided too small, an error may occur due to the difference in the contour even if the image is too small. In this case, since the change of the contour may not be recognized properly, it is preferable to divide the data into an appropriate size, and preferably, divide the image into 8 × 8 frames.

Herein, the pixel refers to the minimum unit constituting the image, and the depth refers to the number of bits representing each pixel. As the depth value increases, each pixel has various values.

When the image is divided into 8x8 frames by the image segmentation algorithm, 64 frames, which are 1/8 of the original image size, are generated, and each frame is examined whether there is some contour information.

Here, an undivided image is defined as an image, and each divided image is defined as a frame.

Since it is processed as 0 except the contour, the divided frame without the contour becomes 0 even if the pixel depth values of the divided frame are added, and the divided frame with the contour has the contour information value. The value comes out. Here, the macro block when there is no outline information is set to 0, the macro block when there is outline information is set to 1, and the outline extraction for the learner video information is completed, and the extracted value is a text file. Or stored in the DB server 330 as an image file to manage.

When the learning state DB is established, the educator starts learning (S140).

When the educator starts learning, the educator's lecture contents are input through the audio and video input device of the educator terminal 20 and transmitted to the multimedia server through the signal processing module, and the multimedia server transmits the educator's audio and video information. The signal is transmitted to the learners through the signal processing module and the audio and video output device of each learner terminal 10.

Specific signal processing of audio and video information is generally apparent to those skilled in the art, and thus a detailed description thereof will be omitted.

On the other hand, as the educator starts learning, the audio and video information of the learner input in real time is transmitted to the learning management system server 30 through the audio and video input device and the signal processing module.

Subsequently, the comparison detection server 340 determines the learning attitude by comparing the learning attitude DB of the same learner stored in the DB server 330 with the audio and video information of the learner transmitted and preprocessed in real time as described above (S150).

3 is an exemplary view illustrating a comparison of audio information according to a preferred embodiment of the present invention.

Referring to FIG. 3, in the case of audio information, the comparison detection server 340 extracts the learner's audio information in real time to determine whether the sampled audio information matches the frequency spectrum data stored in the DB server 330, and the DB server. If it is inconsistent with the frequency information of the audio stored in the 330, it is determined that the learning attitude is bad.

4 is an exemplary diagram illustrating video information comparison determination according to a preferred embodiment of the present invention.

Referring to FIG. 4, in the case of video information, the comparison detection server 340 extracts the learner's outline data in real time to determine whether the match is consistent with the outline data stored in the DB and checks whether the learning attitude is poor.

The learner's outline data is extracted from the image input in real time by the video input device of the learner terminal 10 to determine whether it matches the learner's outline information stored in the DB server 330, and the DB server 330 determines whether the learner's outline data matches the outline information. In case of inconsistency with the stored contour data, the learning attitude is determined to be bad.

Subsequently, the comparison detection server 340 receives the learner's audio and video information in real time, compares the learner's learning attitude DB stored in the DB server 330 and notifies the learning control server 320 if there is a mismatch. The learning control server 320 transmits a warning signal to the learner terminal 10 and the educator terminal 20. (S160)

More specifically, the step S160 may include extracting learner information mapped to learner identification information included in the learner's learning attitude DB of the learner whose learning state defect is detected; The warning signal for the learning state failure is transmitted to the extracted learner terminal and the educator terminal to transmit a warning signal.

In this case, the transmitted warning signal may be an audio or video signal, and the video warning signal may be transmitted together with the audio.

In addition, the learner may be configured to change the video information stored in the DB server 330 by receiving the changed posture when the posture of the learning state DB established before the start of learning is inconvenient to change the posture.

If the learner wants to change his posture, he establishes a learning attitude DB for the new posture, and deletes the previously saved learning attitude DB to build a new learning attitude DB.

In the learning guidance method for online education according to the present invention, the steps S140 to S160 are continuously fed back until the learning is completed to manage the learner's learning state in real time, and when the words and actions unnecessary for learning are detected, the learner is informed. It can alert learners to concentrate their learning.

As described above, the online education management system and the learning guidance method using the same according to the present invention detects when a learner makes unnecessary words or actions, and notifies the educator to draw attention of the learner and induce learning concentration. Therefore, an excellent effect to increase the efficiency of education occurs.

Although the detailed description of the present invention described above has been described with reference to the preferred embodiment of the present invention, the protection scope of the present invention is not limited to the above embodiment, and those skilled in the art will appreciate It will be understood that various modifications and changes can be made in the present invention without departing from the spirit and scope of the invention.

Therefore, the technical scope of the present invention should not be limited to the contents described in the detailed description of the specification but should be defined by the claims.

Claims (13)

delete delete In the online education system for transmitting the education multimedia information of the educator to the learner terminal in real time through at least one learner terminal and the educator terminal with internet access, Extract learning audio and video information transmitted from the learner terminal before the start of learning to construct a learning state database (DB), and after the start of learning, compare and analyze the constructed learning state DB and the learner's audio and video information in real time And a learning management system server for transmitting a warning signal to the learner terminal and the educator terminal if there is a mismatch. The learning management system server A web server for providing education contents by allowing web access of the learner terminal and the educator terminal; A database server for storing and managing a learning state database (DB), a learner and educator information DB, and various class information DBs, which are constructed of audio and video information of a learner transmitted from the learner terminal before starting learning; A multimedia server for transmitting multimedia information of education contents transmitted from the educator terminal in real time to the learner terminal; A comparison detection server which compares the learner's audio and video information transmitted from the learner terminal in real time with the learning state DB stored in the database server and detects whether the learning attitude is poor according to a mismatch; And a learning control server that controls the entire system and controls the transmission of warning signals to learners and educator terminals when the comparison detection server notifies the learning attitude defect. The comparison detection server receives the sound required for learning from the learner terminal before the start of learning, and stores frequency data extracted from the frequency component in the database server as a text file or an image file, and the frequency of the audio information transmitted in real time after the start of learning. Learning management system for online education, characterized in that to compare the data to determine whether there is a discrepancy. The method according to claim 3, The comparison detection server Before the start of learning, the image is extracted by segmenting the pixels other than the contour to a depth of 0 with respect to the image extracted by the segmentation process by receiving the learner's posture image, and dividing the image into the text file. Or save it to the database server as an image file, Learning management system for the online education, characterized in that for determining whether there is a discrepancy by comparing and analyzing the contour data of the video information transmitted in real time after the start of learning. The method according to claim 3, The learning state DB is a learning management system for online education, characterized in that it comprises a learner identification information. The method according to claim 3, The learning control server extracts learner information mapped to learner identification information included in the learning attitude DB of the inconsistent learner when the learning state is notified from the comparison detection server, and transmits a warning signal to the learner terminal and the educator terminal. Learning management system for online education characterized by. The method according to claim 6, The warning signal is a learning management system for online education, characterized in that consisting of audio or video message data. delete delete delete In the online education method for transmitting the education multimedia information of the educator to the learner terminal in real time through at least one learner terminal and the educator terminal, (a) receiving the input of the learner's audio and video information required for learning before the start of learning and transmitting to the learning management system server; (b) storing the transmitted audio and video information in a database server to construct a learning attitude database; (c) at the same time as the educator starts learning, the audio and video information of the learner is transmitted to the education management system server in real time; (d) comparing and detecting, by the comparison detecting server, whether the learning state is poor by comparing the audio and video information transmitted in real time with the learning attitude database stored in a database server; (e) if the learning state is poor, the learning control server includes transmitting a warning signal to the learner and the educator terminal, Step (b) is Extracting, by the comparison detection server, frequency components of audio information transmitted from the learner terminal; And storing the extracted data of the frequency component as a text file or an image file in a database server. The method according to claim 11, Step (b) is Segmenting the attitude posture image of the learner transmitted from the learner terminal; Dividing the segmented image; And storing the contour data of each of the divided images in a database server as a text file or an image file. The method according to claim 11, Step (d) Receiving, by the learning control server, a learning state failure from the comparison detection server; Extracting learner information mapped to learner identification information included in a learner's learning attitude DB of the learner in which the learning state defect is detected; And a step of transmitting a warning signal for the learning state defect to the extracted learner terminal and the educator terminal.

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