WO2022092332A1 - Micro-learning system using time attribute markup language and learning content management method using same - Google Patents

Abstract

Disclosed are a micro-learning system using a time attribute markup language and a learning content management method using same. The micro-learning system using a time attribute markup language of the present invention comprises: a reception unit for receiving a lecture content-related file from a user-side terminal; a processing unit for extracting and storing the received lecture content-related file as a time attribute markup language file, a video file, an audio file, a document file, various attached files, and the like, and streaming or downloading a video file and an audio file to the user-side terminal according to a request from a user side; and a providing unit for providing, to the user-side terminal, a content player including a parser capable of parsing a time attribute markup language file.

Description

Micro-learning system using time attribute markup language and learning content management method using the same

The present invention relates to a micro-learning system using a time attribute markup language and a learning content management method using the same, and more particularly, to a time attribute markup language for the output of two-way communication between an instructor and a learner in a web-based video lecture It relates to a micro-learning system using a time attribute markup language that can be recorded and managed in an integrated manner and a learning content management method using the same.

Recently, social distancing is being implemented as a measure to block the spread of infectious diseases such as the Corona 19 virus. The era of untact has arrived, where we avoid gatherings where a large number of people gather and live our daily lives non-face-to-face.

Tasks that previously had to be done face-to-face are now becoming non-face-to-face, and there are areas where the existing methods do not achieve the same expected effects as before. Among these fields, in the field of education, non-face-to-face classes, so-called web lectures, existed in the past, but since this was done very limitedly, few people had doubts about the educational effect.

However, in the real world where complete non-face-to-face classes are taking place, the existing web video lecture method gives inconvenience and disappointment to all educational stakeholders including teachers, students, and education administrators.

In the case of a non-face-to-face teaching method, the two-way communication between the instructor and the student cannot be as seamless as in the face-to-face teaching method. Even if the teacher lectures in real time, the students must listen to it unilaterally. Even when a student asks a question, there is a problem in that the lecture flow is broken when a very small latency occurs in the online class compared to the offline class.

In addition, web lecture systems currently in operation cannot manage discussions, questions and answers, assignments, and other information during real-time lectures by matching them with the corresponding contents of the video.

In other words, the problem is pointed out that videos, lecture plans, and other materials are all fragmented, and that a unified and easy-to-manage system is not established by connecting them.

The present invention, which was devised to solve the above problems, provides high user convenience by managing various format files constituting lecture contents as a time attribute markup language file, and makes it easy to search for and understand physically independent individual contents. An object of the present invention is to provide a micro-learning system using a time attribute markup language capable of doing so, and a method for managing learning contents using the same.

In order to achieve the above object, a micro-learning system using a time attribute markup language according to an embodiment of the present invention includes: a receiving unit for receiving a lecture content-related file from a user-side terminal; The received lecture content-related files are extracted and stored as time attribute markup language files, video files, audio files, document files, and various attachment files, and the video file and the audio file are saved to the user at the request of the user. a processing unit for processing streaming or downloading to a side terminal; and a providing unit that provides a content player including a parser capable of parsing the time attribute markup language file to the user-side terminal.

In this case, the processing unit integrates the video file, the audio file, the document file, and the various attached files in a way of referring to a storage address using the time attribute markup language file for each user as personalized learning content. Save.

In this case, when the processing unit receives a user command such as addition, deletion, correction or change of various files included in the personalized learning content, the content of the time attribute markup language file according to the input user command update

In this case, the time attribute markup language file includes absolute time information indicating the creation time of various files constituting the personalized learning content and relative time information for distinguishing temporal precedence and precedence from other files, It includes hierarchical information tree information that can identify the time-series order of all files included in the corresponding personalized learning content using the absolute time information and the relative time information.

On the other hand, further comprising a file server for storing the personalized learning content, the file server, when receiving a download request for the time attribute markup language file from the user-side terminal, the time attribute markup language file It can be extracted from the personalized learning content and transmitted to the user's terminal.

On the other hand, further comprising a file server for storing the personalized learning content, the file server, when receiving an upload request for the time attribute markup language file from the user-side terminal, the time attribute markup language file It can be merged and saved into personalized learning content.

A method for managing learning content using a micro-learning system using a time attribute markup language according to another embodiment of the present invention includes: receiving a lecture content-related file from a user-side terminal; extracting the received lecture content-related files into time attribute markup language files, video files, audio files, document files, and various attachments; integrating the video file, the audio file, the document file, and the various attachments in a way of referring to a storage address by using the time attribute markup language file for each user and storing it as personalized learning content; streaming or downloading the video file and the audio file to the user's terminal according to the user's request; and when receiving a user command such as addition, deletion, modification or change of various files included in the personalized learning content, updating the content of the time attribute markup language file according to the input user command; do.

In this case, the storing as the personalized learning content includes storing the personalized learning content in a file server, and when receiving a download request for the time attribute markup language file from the user-side terminal, from the file server The step of reading the personalized learning content, extracting the time attribute markup language file from the read personalized learning content, and transmitting the extracted time attribute markup language file to the user-side terminal may be further executed.

On the other hand, the step of storing the personalized learning content, storing the personalized learning content in a file server, when receiving a request for uploading the time attribute markup language file from the user-side terminal, the corresponding time attribute markup language The step of merging and storing the file into the personalized learning content stored in the file server may be further executed.

Meanwhile, the file server may be a plurality of distributed file servers, and at least a portion of the time attribute markup language file may be stored in at least one of the plurality of distributed file servers.

According to various embodiments of the present invention, the files of various formats constituting the lecture contents are integratedly managed as time attribute markup language files, but physically independent individual contents can be searched and identified as virtual integrated files. can,

By managing the time attribute markup language file that can manage the learner's learning history throughout the user's learning cycle, it has the effect of improving the educational performance management that can measure and monitor the user's academic achievement and academic performance. .

1 is a block diagram for illustratively explaining a micro-learning system according to an embodiment of the present invention;

2 is a block diagram for exemplarily explaining a process of generating a personalized content file using the temporal attribute markup language of the micro-learning system using the temporal attribute markup language shown in FIG. 1;

3 is a diagram for explaining an example in which a learner manages learning contents using the micro-learning system of the present invention;

4 is a view for explaining an example of a user interface of the micro-learning system of the present invention;

5 is a view for explaining an educational content management method using the micro-learning system of the present invention, and;

6 is a view for explaining a problem with respect to the management of learning content through a conventional online lecture site.

Hereinafter, a preferred embodiment of the present invention will be described with reference to the drawings. The micro-learning system of the present invention described below exemplifies a case in which each component is configured individually, but these components may be configured as one integrated module.

1 is a block diagram for illustratively explaining a micro-learning system according to an embodiment of the present invention. Referring to FIG. 1 , the micro-learning system 100 receives lecture-related content from a terminal 200 - 1 of a first user (instructor) side. The micro-learning system 100 separates a temporal attribute markup language (XML) file, a video file, and an attachment included in the content related to the received lecture. The micro-learning system 100 transmits the time attribute markup language file to the second user (learner) side terminal 200 - 2 if the learner requests it. Alternatively, the micro-learning system 100 transmits the time attribute markup language file to the learner first when there is a learner's request to start learning, and only when the learner parses the time attribute markup language file effectively Deliver learning content. The micro-learning system 100 may provide the video file to the second user-side terminal 200 - 2 through the VOD server in a streaming method or a downloading method. In the second user-side terminal 200 - 2 , a dedicated content player (TAGplayer) including a parser capable of parsing a time attribute markup file should be installed in the user terminal in advance. If a dedicated content player is not installed in the second user's terminal 200-2, the video file can be played through the previously installed player, but the main function that can be achieved by parsing the time attribute markup file is not executed. may not be

FIG. 2 is a block diagram for exemplarily illustrating a process of generating a personalized content file using the temporal attribute markup language of the micro-learning system using the temporal attribute markup language shown in FIG. 1 . Referring to FIG. 2 , the micro-learning system 100 using a temporal attribute markup language includes a receiving unit 110 , a processing unit 130 , and a providing unit 150 .

The receiver 110 receives lecture-related content from the user-side terminal 200 . The receiver 110 receives lecture-related content only for a valid user in the user authentication procedure. The authentication procedure is omitted because it is not essential for understanding the present invention. The receiving unit 110 transmits the received lecture-related content to the processing unit 130 according to a time sequence or a validity authentication sequence.

The processing unit 130 classifies the received lecture-related content for each user, and reads a time attribute markup file already created for each user, from a storage unit (not shown). The processing unit 130 compares the time attribute markup file included in the lecture-related content with the read time attribute markup file, and configures the user's personalized content file based on the time attribute markup file including the latest information. .

The processing unit 130 uses a time attribute markup file to reorganize the contents according to the chronological order of all files included in the lecture-related contents and calculates tree information of a hierarchical structure. In this case, each content file may have a hierarchical tree structure according to a creation time (absolute time) and a time (relative time) for identifying a precedence relation in a relationship with other content files.

Such a time attribute markup file can be written in the format shown in Table 1 below.

As shown in FIG. 2, the content related to lecture A includes N (eg, 4) video files (Video file_1 to Video file_4) and N (eg, 4) audio files (Audio file_1 to Audio file_4) and It consists of a plurality of other attached files (.PDF, .TXT, .DOC, .HTML, .HWP, etc.).

In this case, the video file may include an audio file or there may be no audio file. Here, the audio file may be a separate audio file or an audio file synchronized with the video file. In FIG. 2, it is assumed that the video file and the audio file are synchronized with each other. In this case, it may be configured to match on the time axis.

The metric tree structure created by the temporal attribute markup file will be described. The first video file (Video file_1) is temporally matched with the first audio file (Audio file_1). The first video file (Video file_1) has a constant playback time, and the first audio file (Audio file_1) also has a constant playback time. These video playback times and audio playback times can be synchronized by a synchronizer. 1.PDF file is a document file related to the video file and audio file. 1.webpage (.HTML) is linked to the document file.

If the learner starts watching the first video file (Video file_1) at 12:10 pm on May 1, 2020. At 12:20, a bookmark was inserted to highlight the keyword (“Deep Learning”) written on a specific page of the first document (1.PDF), and at 13:10 pm, 1. There was a record of opening a link to a webpage. The learner's actions are recorded in the time attribute markup file with relative time and action content. The learner's information recorded in the time attribute markup file may be parsed by a parser included in the content player and then interpreted.

After that, the learner starts watching the third video file (Video file_3) at 11:00 am on May 3, 2020. While the learner was watching the third video file (Video file_3), the instructor suggested a mission to submit Homework. The details of the Homework are recorded in the second document (1.HWP), and the content to submit the "NLP Concept Report" is described in the file. For this information, the content of the relative time and action is recorded in the time attribute markup file.

Thus, according to the micro-learning system of the present invention, the learner is automatically or manually recorded in the time attribute markup file for all actions and events that occur during his or her learning, and when the time attribute markup file is parsed later, the learner You can check all learning activities and history of

That is, if the instructor requests the learner to submit the time attribute markup file, the learner can check the history of bookmarking the first document (1.PDF) at 12:20 pm on May 1, 2020. While viewing the third video file (Video file_3), it is possible to check whether the contents are checked by reading the Homework file (1.HWP) presented by the instructor.

This understanding of the learner's learning history can be used as information that allows the learner to check his/her own learning history. For example, if a learner wants to find a document file (1.PDF) that has been bookmarked "Deep Learning" while learning on December 30, 2020, parse the time attribute markup file using the content player, If you enter the keyword "Deep Learning", you can easily search the bookmark record related to the keyword and automatically run the document file (1.PDF).

The providing unit 150 may provide a content player to the user-side terminal. In the content player, a parser that can parse the time attribute markup file and a decoder that can decode and play the video temporally synchronize video, audio, and other files with each other, and refer to the storage address to each other The module includes a synchronizer that connects and a searcher that searches for related information based on the search word when a search word is input.

3 is a diagram for explaining an example in which a learner manages learning contents using the micro-learning system of the present invention. Referring to FIG. 3 , a learner downloads and installs a content player in a user terminal in advance. And receives the personalized content file from the micro-learning system (100). The time attribute markup file of the personalized content file is extracted and parsed by a parser included in the content player previously installed in the user terminal 200 - 2 . According to the parsing result, N (eg, 4) video files are arranged according to relative time, and N (eg, 4) audio files are matched to N (eg, 4) video files. The learner corrects the content of the document file (1.HWP) linked to the Homework information recorded in the third video file (Video file_3).

If there is a modification of the contents of the document file (1.HWP) linked to the Homework information, information such as modification date and time, modification contents, etc. are updated and recorded in the time attribute markup file. When the time attribute markup file is updated in this way, the corresponding time attribute markup file is transmitted to the micro-learning system 100 . The micro-learning system 100 stores the updated time attribute markup file as a new time attribute markup file of the corresponding user in the database. According to an embodiment, the micro-learning system 100 may store the time attribute markup file in a separate file server.

4 is a view for explaining an example of a user interface of the micro-learning system of the present invention. Referring to FIG. 4 , in the first chat window, a file may be transferred by displaying the content of the chat and dropping and dragging. You can also display added bookmarks or display emoticons. The second input window may display a conversation input by the instructor or the learner. No. 3 video display window can display non-face-to-face distance education or VOD video. The fourth video integrated information management window can be displayed to manage all recorded information recorded by the time attribute markup file. No. 5 playback controller may display content that can control video playback, such as playback, stop, playback 5 seconds backward, playback 5 seconds forward, and the like. No. 6 all file transfer window is a window where you can transfer files to everyone participating in the learning. No. 7 information dialog is a touch or click part to hide or show the dialog. The highlighted icons such as question 8, important, and repeat are a window that displays icons that can designate real-time icons and record VOD video information. No. 9 recording index icon is a window where you can input real-time comments and search for important bookmarks during VOD video. The record button 10 is a window that provides a function for the instructor to record and pause the lecture during real-time distance education. Question 11, the Away button is a window where you can monitor the learner's status in real time.

5 is a view for explaining a method for managing educational content using the micro-learning system of the present invention. Referring to FIG. 5 , it can be confirmed that a plurality of micro-learning systems 100-1 to 100-N can be operated. The first user's terminal 200 may generate personalized learning content for each of the plurality of micro-learning systems 100-1 to 100-N connected through a network.

For example, the first micro-learning system 100 - 1 is a micro-learning system operated by a middle school public education subject of the first user USER 1 . The second micro-learning system 100-2 is a micro-learning system operated by the middle school private education subject of the first user USER 1 . The third micro-learning system 100-N is a micro-learning system operated by the high school public education subject of the first user USER 1 . Although not shown in FIG. 5 , one user may generate a plurality of personalized learning contents using a micro-learning system operated by a plurality of educational entities.

In the case of the present invention, even when a large number of personalized learning content is generated, by managing the time attribute markup language file integrally to manage the education history of the user, it is possible to manage and monitor the entire educational history of the learner do.

The file server 300 shown in FIG. 5 may manage a plurality of time attribute markup language files as one integrated database in order to manage including all the education histories of the first user USER 1 . According to an embodiment, a plurality of time attribute markup language files may be created as one integrated file and downloaded according to a user's request. Alternatively, certain contents of the pre-stored time attribute markup language file may be modified or deleted according to a user's request. However, when the content of the time attribute markup language file is modified or deleted, a separate history management file for the modification and deletion history is created and the change of the file can be tracked.

The file server 300 shown in FIG. 5 is a temporal attribute markup language file 1 (USER1_XML_1) generated by the micro-learning system 1 (100-1), and a temporal attribute generated by the micro-learning system 2 (100-2). The markup language file 2 (USER1_XML_2) and the time attribute markup language file N (USER1_XML_N) generated by the micro-learning system N (100-N) can be individually stored and managed.

6 is a view for explaining a problem with respect to the management of learning content through the conventional online lecture site. Referring to FIG. 5 , conventionally, a lecturer uploads produced lecture contents to an online lecture site through a network for each file. While learning about Lecture 1, Lecture 2, and Lecture 3, the learner had to store related video files, audio files, executable files, and document files in folders on a local PC, etc., and manage them individually.

However, when a learner wants to find a video explaining the contents of a specific topic in Lesson 1, it is very inconvenient to manage and use the contents of the lesson because they can only search for the contents of the topic by searching all the video files stored in the Lesson 1 folder. There is this.

In the above, a preferred embodiment of the present invention has been described. In such a preferred embodiment of the present invention, various design changes may be made by persons of ordinary skill within the scope of the technical spirit of the present invention, and even such a modified embodiment may fall within the scope of the present invention if it falls within the scope of the technical spirit of the present invention. can be interpreted as belonging to

The present invention relates to a distance education system capable of interactive learning and guidance between a learner and an instructor at a remote location, and a real-time content server technology for operating educational content using the distance education system, and has industrial applicability.

Claims (10)

1. In a microlearning system using a temporal attribute markup language,

   a receiver for receiving a lecture content-related file from a user-side terminal;

   The received lecture content-related files are extracted and stored as time attribute markup language files, video files, audio files, document files, and various attachment files, and the video file and the audio file are saved to the user at the request of the user. a processing unit for processing streaming or downloading to a side terminal; and

   Containing a;

   A microlearning system using a temporal attribute markup language.
2. According to claim 1,

   The processing unit, using the time attribute markup language file for each user, integrates the video file, the audio file, the document file, and the various attached files in a way that refers to a storage address and stores them as personalized learning content characterized

   A microlearning system using a temporal attribute markup language.
3. 3. The method of claim 2,

   When the processing unit receives a user command such as addition, deletion, correction or change of various files included in the personalized learning content, updating the content of the time attribute markup language file according to the input user command characterized

   A microlearning system using a temporal attribute markup language.
4. 4. The method of claim 3,

   The time attribute markup language file includes absolute time information indicating the creation time of various files constituting the personalized learning content and relative time information for distinguishing temporal precedence from other files, and the absolute time information and Using the relative time information, it characterized in that it includes hierarchical information tree information that can identify the time-series order of all files included in the corresponding personalized learning content.

   A microlearning system using a temporal attribute markup language.
5. 3. The method of claim 2,

   Further comprising a file server for storing the personalized learning content,

   The file server, when receiving a download request for the time attribute markup language file from the user's terminal, extracts the corresponding time attribute markup language file from the personalized learning content and transmits it to the user's terminal doing

   A microlearning system using a temporal attribute markup language.
6. 3. The method of claim 2,

   Further comprising a file server for storing the personalized learning content,

   When the file server receives a request for uploading the time attribute markup language file from the user's terminal, the time attribute markup language file is merged into the personalized learning content and stored,

   A microlearning system using a temporal attribute markup language.
7. In a learning content management method using a micro-learning system using a time attribute markup language,

   Receiving a lecture content related file from a user-side terminal;

   extracting the received lecture content-related files into time attribute markup language files, video files, audio files, document files, and various attachments;

   integrating the video file, the audio file, the document file, and the various attachments in a way of referring to a storage address by using the time attribute markup language file for each user and storing it as personalized learning content;

   streaming or downloading the video file and the audio file to the user's terminal according to the user's request; and

   When receiving a user command such as addition, deletion, correction or change of various files included in the personalized learning content, updating the content of the time attribute markup language file according to the input user command; including; How to manage learning content.
8. 8. The method of claim 7,

   The storing as the personalized learning content includes storing the personalized learning content in a file server,

   Upon receiving a download request for the time attribute markup language file from the user-side terminal, the personalized learning content is read from the file server, and the time attribute markup language file is extracted from the read personalized learning content to the user Characterized in further executing the step of transmitting to the side terminal,

   How to manage learning content.
9. 8. The method of claim 7,

   The storing as the personalized learning content includes storing the personalized learning content in a file server,

   Upon receiving a request to upload the time attribute markup language file from the user-side terminal, the step of merging the corresponding time attribute markup language file into the personalized learning content stored in the file server is further executed and stored doing,

   How to manage learning content.
10. 10. The method according to claim 8 or 9,

    The file server is a plurality of distributed file servers,

    The time attribute markup language file is characterized in that at least a part is stored in at least one of the plurality of distributed file servers.

    How to manage learning content.

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