WO2019000617A1 - 一种互联网教学的录播***和方法 - Google Patents

一种互联网教学的录播***和方法 Download PDF

Info

Publication number
WO2019000617A1
WO2019000617A1 PCT/CN2017/099053 CN2017099053W WO2019000617A1 WO 2019000617 A1 WO2019000617 A1 WO 2019000617A1 CN 2017099053 W CN2017099053 W CN 2017099053W WO 2019000617 A1 WO2019000617 A1 WO 2019000617A1
Authority
WO
WIPO (PCT)
Prior art keywords
learning
user
recording
data
specific user
Prior art date
Application number
PCT/CN2017/099053
Other languages
English (en)
French (fr)
Inventor
卢炀
刘佳
Original Assignee
深圳市鹰硕技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳市鹰硕技术有限公司 filed Critical 深圳市鹰硕技术有限公司
Publication of WO2019000617A1 publication Critical patent/WO2019000617A1/zh

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866—Management of end-user data
    • H04N21/25891—Management of end-user data being end-user preferences
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00—Electrically-operated educational appliances
    • G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
    • G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/432—Content retrieval operation from a local storage medium, e.g. hard-disk
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/432—Content retrieval operation from a local storage medium, e.g. hard-disk
    • H04N21/4325—Content retrieval operation from a local storage medium, e.g. hard-disk by playing back content from the storage medium
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/433—Content storage operation, e.g. storage operation in response to a pause request, caching operations
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/433—Content storage operation, e.g. storage operation in response to a pause request, caching operations
    • H04N21/4334—Recording operations
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4662—Learning process for intelligent management, e.g. learning user preferences for recommending movies characterized by learning algorithms
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies

Definitions

  • the invention relates to the field of internet teaching technology, in particular to a recording and broadcasting system and method for internet teaching which can follow learning.
  • CN101833882A (Publication Date September 15, 2010) discloses a course recording system for teaching, including a multimedia classroom module 103 (such as a podium, a central control, a stand, a notebook, a projector, etc.).
  • CN106355350A (Publication Date January 25, 2017) discloses a smart campus system, including a campus management subsystem 1 and a campus teaching subsystem 2, wherein the smart reading assessment subsystem can be based on the frequency of the received students entering and leaving the reading room. Time, reading the name and quantity of the book, analyzing and calculating the rankings and presenting the rankings on the cloud interactive electronic blackboard 108 to stimulate the students' enthusiasm for learning.
  • CN105306861A discloses a reliable teaching of a system
  • the recording and recording method adopts a method of classified recording and classified storage of data such as an action stream, an audio stream, and a video stream, generates a unified time stamp for marking, and simply separates the data to be encrypted, and establishes a correspondence table, as needed.
  • CN103295171A discloses an automatic teaching method for ST teaching based on intelligent recording and broadcasting system, including audio and video field collection and recording system, network transmission system and remote playing system, including the following steps:
  • the audio and video field collection and recording system switches the signal source during the recording process;
  • the conversion mode is converted and the xml file is generated;
  • the parameters of the video source file defining the xml file are the behavior of the teacher and the student; Calculate the percentage of teacher behavior, the percentage of student behavior, and the conversion rate. 5.
  • the invention can realize the teacher recording the course, and the recording host converts the intelligent switching information of the video source position into the teacher behavior information sequence table and the student behavior information sequence table.
  • the direct recording can be directly Generate an intuitive ST histogram, calculate the conversion rate of this lesson and judge the type of teaching according to the norm.
  • the teaching and recording system focuses on the recording of the entire teaching process, and can generally be recorded through various data streams such as audio, video, and presentation (action), aiming to reproduce the teaching process.
  • a good learning method is an important guarantee for improving academic performance. Different students are looking for a suitable learning method, except that they can imitate those who have learned well. Face-to-face communication, introduction to learning experience, and other abstract means to understand the learning method of a good learner, but basically can not master the process of learning, which makes many learners confused, hear more, study well The method, when implemented, feels that there is nowhere to start.
  • CN103002054A discloses a network-based note sharing method, which comprises the following steps: a.
  • the cloud server receives and saves at least one note for text information and the text sent by the mobile terminal. The information and the location information of the at least one note in the text information corresponding to the document; b, the cloud server receives a user's note query request for the text information; c, the cloud server requests the query according to the note query request To obtain a corresponding note; and d, the cloud server sends a corresponding note to the user.
  • the cloud server queries the text information to obtain the corresponding note by using a fuzzy matching algorithm, and the cloud server displays each of the notes of the sharing mode and the account information of each of the notes together to the user.
  • the invention is directed to the problem that the prior art cannot follow the learning process, and combines the Internet teaching platform to exert the advantages of the Internet teaching, especially for the stage of self-study after class, following or learning synchronously through the learning process, from the technical level Allowing users to keep learning with better learners at any time or learning according to their learning process, and providing relevant comparisons to visually identify gaps, clarify goals, and help students develop with the system of the present invention. Good study habits.
  • an Internet-based teaching recording and broadcasting method including the following steps:
  • a data recording step for recording learning data during a learning process of a specific user using an Internet-based instruction-based recording and recording system including but not limited to learning content, start and end time, duration, and time distribution , operational actions, answer results, etc., preferably include at least two or at least three of such information, in particular including time information, more preferably including all of the above information, and even other possible recordable learning data.
  • the learning data may also include a learning annotation, which is information such as a mark, a text or a pattern recorded by the user in the corresponding position during the learning process, and the learning information may be marked in an appropriate position, such as an annotation by the information of the location.
  • the same location of the information is displayed to the ordinary user who follows the learning; preferably, for example, for the follow-up exercise or the exercises or exercises that require a voice answer, the information of the specific user is also recorded and can be sent to the ordinary user, the ordinary user. It can be compared not only with standard answers, but also with the audio of a particular user to perceive the gap.
  • a record forming step of forming the learning data record record that can be called and executed in the data recording step, and storing it on a server, such as an Internet teaching server, or storing it on a local teaching server.
  • a server such as an Internet teaching server, or storing it on a local teaching server.
  • the learning data record table may be an available spreadsheet, such as XML, identified using a timeline sequence.
  • the learning data record table is used to follow the learning data in real time, delay or afterwards to the ordinary user, and the ordinary user can perform follow-up learning according to the learning data recorded in the learning data record table; preferably, the data
  • the relevant learning data recorded in the recording step can be shared to the ordinary user synchronously, and the ordinary user can follow the learning in real time; or, the moderate delay can follow the learning data, and the ordinary user can follow the learning; or, after the specific user completes the learning, After forming a complete learning data record form, the average user follows the learning.
  • the specific user in the data recording step is a specific user whose learning method or learning achievement is worthy of being learned, borrowed or followed by others, and the specific user may be determined by empirical data, such as a teacher-specified, general user selection. User self-recommended, or based on history According to statistics, such as the analysis of recommendations based on historical learning records, generally for users with better academic performance and/or higher learning efficiency.
  • the recording and broadcasting system performs statistical analysis based on past learning records and academic achievements, selects those excellent users, forms a list of excellent user recommendations, and treats these excellent users as specific users. When the system is learning, they can record their learning data and form a learning data record.
  • the method includes a specific user confirmation step, confirming the identity of the specific user according to the historical data or the empirical data, and comparing with the set threshold, and confirming, the learning record table of the specific user is saved together with the recorded recording course.
  • the specific user who wants to follow can be selected according to the matching of the information.
  • the so-called registration and recording system for learning mainly refers to the user's self-learning after class, such as on-demand review and recording courses, especially after-school review, extracurricular learning, etc., so that there is more practical follow-up learning.
  • the meaning because everyone's learning in the classroom is basically simultaneous, there is generally no need to follow the learning.
  • the main solution of the present invention is to solve the problem of follow-up learning during extra-learning, but it does not exclude the follow-up learning of the class.
  • a certain user of a class follows the specific user of other classes through the Internet-based instructional recording and broadcasting system. Case.
  • the Internet-based instructional recording and broadcasting system For users who want to find a follow-up learning object, they only need to fill in or input their own demand information through the Internet-based instructional recording and broadcasting system, including, for example, personal information, learning stage, learning process, academic performance, hobbies, etc. This information is matched with the situation of a specific user to generate a recommendation list from which the user can select at least one specific user to learn by following the learning record table.
  • the system-generated recommendation list may be sent to the user, a third-party user related to the user, such as his teacher or parent, or may be an ordinary user who chooses to help decide. Classmates, friends, and third parties help make choices.
  • the learning record evaluation step is configured to evaluate the learning data record table according to the feelings of the ordinary user after completing the learning according to the learning data record table.
  • the evaluation may be a score, a star rating, or an evaluation of text, audio, or video.
  • These reviews can give feedback
  • a specific user a specific user can choose to browse or view this information.
  • the learning data related to the learning user such as the problem solving question, can also be sent to a specific user, so that the specific user can understand his or her own advantages, thereby helping to clarify the goal of further improvement.
  • the method further includes a learning effect evaluation step for forming an own learning data record table after the ordinary user completes following learning according to the learning data record table, and learning data by using a learning data record table of the specific user following the learning The comparison, find out the difference with the specific user, such as the overall difference in the learning time of the same learning content, complete the time allocation of different parts of the learning content, complete the same exercise, the difference of the correct rate, the specific wrong question The difference is equal.
  • the method further includes an intensive problem recommendation step for recommending an intensive exercise of the same topic to an ordinary user according to the subject of the difference and the problem, and the ordinary user can strengthen the exercise by strengthening the exercise.
  • the recording and broadcasting system of the present invention may be based on the difference of the wrong questions, such as the part of the wrong question that the specific user has not made a mistake, and the two sides have made a mistake, and the two sides may be wrong, and the main learning target is limited here. For those who have better masters of learning, as followers, they can temporarily ignore them, prioritize the current differences, and recommend relevant types of exercises to the general users.
  • a recording and broadcasting system for internet teaching is provided, which is characterized in that each step of the above recording method is performed.
  • a computer apparatus comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein the processor is executable when the program is executed The method steps described above.
  • a computer storage medium storing a program executable by a computer, the method steps described above being implemented when the program is executed.
  • the Internet-based teaching recording and broadcasting system solves the problem that the user cannot follow the learning process in the process of reviewing and recording the recording course by recording and sharing the process learning data of the specific user for the recording course. It helps users to share learning methods, helps users develop good learning habits, and helps users improve their learning efficiency.
  • FIG. 1 is a schematic structural diagram of a prior art course recording system
  • FIG. 2 is a schematic diagram showing the architecture of an Internet-based recording and broadcasting system of the present invention.
  • FIG. 3 is a schematic flow chart of the Internet-based recording and broadcasting method of the present invention.
  • FIG. 2 is a schematic diagram of the architecture of the Internet-based recording and broadcasting system of the present invention.
  • various users include a teacher user 100, a student user 200 (hereinafter referred to as a user 200), a specific student user 300 (hereinafter referred to as a specific user 300), a parent user 400, and the like, respectively, through a user terminal installed with a software client.
  • 101, 201, 301, 401, connected to the teaching server 500 via the Internet may be a local teaching server, a local area network teaching server, a distance learning server, a cloud teaching server, etc.
  • the teacher user 100 passes through the user terminal 101 and the recording device 501 of the multimedia classroom. Connected, you can conduct Internet-based teaching activities, and you can record your multimedia classroom.
  • the user terminal in the present invention includes: a processor, a network module, a control module, a display module, and an intelligent operating system; the user terminal may be provided with multiple data interfaces for connecting various extension devices and accessories through a data bus; Smart operating systems include Windows, Android and its Improved, iOS, on which applications can be installed and run to implement the functions of various applications, services and application stores/platforms under the intelligent operating system.
  • the user terminal in the present invention can be connected to the internet through a connection manner such as RJ45/Wi-Fi/Bluetooth/2G/3G/4G/G.hn/Zigbee/Z-ware/RFID, and connected to other terminals via the Internet or Other computers and devices, through 1394/USB/serial/SATA/SCSI/PCI-E/Thunderbolt/data card interface and other data interfaces or bus methods, through HDMI/YpbPr/SPDIF/AV/DVI/VGA/TRS/ SCART/Displayport and other audio and video interfaces are connected to connect various expansion devices and accessories to form a conference/teaching device interactive system.
  • a connection manner such as RJ45/Wi-Fi/Bluetooth/2G/3G/4G/G.hn/Zigbee/Z-ware/RFID
  • the reading device realizes image access, sound access, use control and screen recording of the electronic whiteboard, RFID reading function, and can access and control mobile storage devices, digital devices and other devices through corresponding interfaces; through DLNA/ IGRS technology and internet technology are used to implement functions such as manipulation, interaction and screen switching between multi-screen devices.
  • a processor is defined to include, but is not limited to, an instruction execution system, such as a computer/processor based system, an application specific integrated circuit (ASIC), a computing device, or capable of non-transitory
  • a storage medium or non-transitory computer readable storage medium acquires or acquires hardware and/or software systems that logically and execute instructions contained in a non-transitory storage medium or non-transitory computer readable storage medium.
  • the processor may also include any controller, state machine, microprocessor, internetwork-based entity, service or feature, or any other analog, digital, and/or mechanical implementation thereof.
  • the computer readable storage medium is defined to include, but is not limited to, any medium capable of containing, storing, or maintaining programs, information, and data.
  • the computer readable storage medium includes any of a number of physical media such as an electronic medium, a magnetic medium, an optical medium, an electromagnetic medium, or a semiconductor medium. More specific examples of suitable computer readable storage media and memory for use by user terminals and servers include, but are not limited to, magnetic computer disks (such as floppy disks or hard drives), magnetic tape, random access memory (RAM), read only memory (ROM) , Erasable Programmable Read Only Memory (EPROM), compact disc (CD) or digital video disc (DVD), Blu-ray memory, solid state drive (SSD), flash memory.
  • magnetic computer disks such as floppy disks or hard drives
  • RAM random access memory
  • ROM read only memory
  • EPROM Erasable Programmable Read Only Memory
  • CD compact disc
  • DVD digital video disc
  • Blu-ray memory solid state drive (SSD), flash memory.
  • the Internet may include a local area network and a wide area Internet, and may be a wired Internet or a wireless Internet, or any combination of these networks.
  • An embodiment of the Internet-based teaching and recording method includes: an S10 data recording step, an S20 record forming step, an S30 following learning step, an S40 learning record evaluation step, an S50 learning effect evaluation step, and an S60 enhanced problem recommendation step, details as follows:
  • the learning data in the learning process includes the learning content, the start and end time, the duration, the operation action and the result of the answer.
  • the user 200 may be referred to as an ordinary user.
  • the user After logging in to the system through the user terminals 201 and 301, the user may mainly perform various kinds of teaching and recording courses. On-demand or review learning activities.
  • the labels 200 and 300 are used herein to refer to the user (ordinary user) and the specific user, respectively, in fact, both of the users can be student users, and there is no substantial difference between them except for each other following the learning relationship.
  • These specific users 300 may also learn as ordinary users 200 following other specific users, and the distinction is made here only to indicate that the users follow and follow each other.
  • a user ordinary user
  • the learning record can be shared as a specific user, it becomes a specific user 300.
  • a specific user 300 it may be determined according to empirical data or historical data, usually a user whose learning method or learning achievement is worthy of being learned, borrowed, or followed by a user.
  • the specific user 300 may be a teacher-specified, common user-selected, user-self. Recommended, based on historical learning records, and so on, generally for users with better academic performance and/or higher learning efficiency.
  • the recording system prior to beginning the data recording step, performs statistical analysis based on past learning records and academic performance, that is, big data analysis, and the main data analyzed is learning time and academic achievement data, thereby screening out Those excellent users form an excellent user recommendation column Table, and these excellent users as specific users, when these users log in to the recording system for learning, they automatically record their learning data to form a learning data record table. Whether based on empirical data or historical data, these data can only be identified as specific users if they meet or meet the set threshold.
  • the specific analysis method of big data it is not the invention content of the present invention, and the big data analysis method of the prior art can perform such big data analysis and processing.
  • attribute information about the introduction thereof such as evaluation information of learning ability, grade information of academic achievement, learning efficiency, characteristics, superior information, and the like are added.
  • the software of the user terminal 301 used by the specific user 300 may record or record the learning data of the learning process of the specific user 300, and first generate the relevant record ID according to the recorded course learned by the specific user at the time of recording or recording, and automatically Record the learning content, learning order, start and end time, duration, time distribution, operation actions, answer results, learning annotations, etc. of a specific user.
  • the content of the learning is mainly the content of the recorded course, but it also includes other related learning contents, such as a formula, a certain pronunciation, a certain certain content, such as a certain formula, a certain pronunciation, and some certain learning content, which are suspended in a learning page and learned through a recording system. Knowledge points and so on. Record the time spent on each study page.
  • the learning annotation is information such as a mark, a text or a pattern recorded by a specific user in the corresponding position during the learning process, and the learning annotation can be displayed to the ordinary user who follows the learning through the location information.
  • S20 a record forming step of forming the learning data recorded in the data recording step into a learning data record table that can be called and executed, and storing it on the teaching server together with the recording course.
  • the learning data is stored as a file in a chronological order, such as by a timestamp identifier, such as an XML format, or a TXT format, etc., which is equivalent to Recording courses, record the information of specific users' learning time, learning movements, learning results, etc. in order of timeline.
  • the user terminal 301 of the specific user 300 can form the above-mentioned learning data into a callable learning data record table, such as a file in XML format, and store it on the teaching server 500 together with the learned recording course.
  • the teaching server 500 can be an Internet teaching server, or can be stored on a local teaching server or a local area network teaching service.
  • the user terminal of the specific user 300 directly sends the recorded learning data to the teaching server 500, and then the teaching server 500 generates a learning data record table according to the chronological data, and saves the data.
  • S30 following the learning step, for sharing the learning data record table to an ordinary user, and the ordinary user may follow the learning according to the learning data of the learning data record table.
  • personal demand information may be provided to the system, including but not limited to personal information, learning stages, learning progress, academic performance, learning habits
  • the system will match the information of the specific user according to the information, and generate a recommendation list, from which the user can select a specific user, and follow the learning data record table of the specific user and follow the learning.
  • the system-generated recommendation list may be sent to the user 200, a third-party user related to the user 200, such as his teacher user 100 or parent user 400, etc., or may be selected. I hope to help the decision-making friend student user 200.
  • the learning record can be obtained, and the follow-up learning can be started.
  • the system can send the prompt information to the user 200 according to the set reminding situation, for example, the specific user 300 starts.
  • the user 200 is sent a reminder message, and the user 200 can follow the specific user in real time, delay or afterwards, and the ordinary user can follow the learning according to the learning data recorded in the learning data record table.
  • the related learning data recorded in the data recording step may be shared to an ordinary user synchronously, and the ordinary user may follow the learning in real time; or, the moderate delay may follow the learning data, and the ordinary user may follow the learning; Yes, after a specific user completes the learning, after forming a complete learning data record table, the ordinary user follows the learning.
  • the system simultaneously loads the selected learning data record table, and according to the information recorded in the record table, according to the learning data recorded in the learning record table when performing follow-up learning, For example, the learning content and the learning order, according to the recorded time, such as the page stay time, the time of the question, the countdown display, the countdown display does not mean that the next page is automatically performed, the countdown display is only a prompt function, but also respect the actual user's actual Execution ability; for the action, by subtitle or voice prompt, such as here the page pauses for 30 seconds or after the page to roll back a page, etc., the user may query the formula ** when suspended; Do exercises using ** time, correct and wrong situations, and then compare the data, such as a specific user doing three wrong questions, followers made four wrong questions, three of which are specific users doing wrong It shows that these three questions are more difficult. At this time, ordinary users can mainly care about the fact that a particular user has not done anything
  • the situation of logging in to the recording and broadcasting system mainly refers to the self-learning of the user 200 after class, especially after-school review, extracurricular learning, etc., which has more practical meaning of following learning, because everyone is in the classroom.
  • the learning is basically simultaneous, and there is generally no need to follow the learning.
  • the main solution of the present invention is also the follow-up learning in the independent learning of the extracurricular learning, of course, but does not exclude the follow-up learning of the class.
  • a certain user of a class can follow the Internet-based instructional recording system. The learning situation of specific users of other classes.
  • S40 A learning record evaluation step for evaluating the learning data record table after the ordinary user completes the learning following the learning data record table.
  • the user 200 may also perform a learning record evaluation, and after learning according to the learning data record table, evaluate the learning data record table according to the user 200's own experience.
  • the evaluation may be a score, a star rating, or an evaluation of text, audio, or video. These ratings can be fed back to a particular user 300, who can choose to browse or view these messages. interest. It is also possible to send the relevant learning data of the learning user, such as the problem of the problem answer, to the specific user 300, so that the specific user 300 obtains more learning ideas, which can help the specific user 300 to clearly clear the goal of further improvement.
  • the learning effect evaluation step compares the learning data record of the ordinary user with the learning data record table of the specific user who follows the learning, calculates the following degree parameter according to the time data in the learning data, and evaluates the learning effect.
  • the learning effect of the user 200 may also be evaluated for forming a learning data record table of the user after the user 200 completes following learning according to the learning data record table, and the learning data record table of the user may be saved in the learning data record table.
  • the user terminal 201 can also be uploaded to the teaching server 500, and then compared with the relevant learning data recorded by the learning data record table of the specific user 300 to find out the difference with the specific user, such as the learning time of completing the same learning content. The difference, the same exercises, the correct rate, the specific problem, and so on.
  • the teaching server 500 evaluates the effect of the user 200 following the learning for a period of time by learning the information of the data recording table and the obtained change in the score.
  • S60 Strengthen the problem recommendation step, and according to the difference of the wrong title, recommend other exercises that belong to the same type as the wrong question to the ordinary user, and further strengthen the learning.
  • the recording and broadcasting system of the present invention can retrieve and extract from the question bank of the system according to the difference between the wrong questions and the subject matter involved in the wrong question (the specific user 300 does not make a mistake but the user 200 does wrong).
  • a feedback step is further included for the user 200 to follow the content difference of the learning data record table after the learning of the specific user 300 to form a difference report, such as a learning time, a difference of the wrong situation, and feedback to the teacher or the parent.
  • a difference report such as a learning time, a difference of the wrong situation, and feedback to the teacher or the parent.
  • the recording and broadcasting system and method for internet teaching provided by the application is based on the Internet-based teaching recording and broadcasting system, and the reviewing and recording of the recording course is solved by recording and sharing the process learning data of the specific user for the recording course.
  • users can't follow the problem of learning, which helps users to share learning methods, helps users to develop good learning habits, and helps users improve learning efficiency.

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Educational Administration (AREA)
  • Educational Technology (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Graphics (AREA)
  • Tourism & Hospitality (AREA)
  • General Health & Medical Sciences (AREA)
  • Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Electrically Operated Instructional Devices (AREA)

Abstract

本发明提供一种可以跟随学***台，通过录制特定用户的过程学习数据，包括学习内容、起止时间、持续时间、操作动作、课后习题及答题结果等，形成学习数据记录表，通过实时、延时或事后等多种方式，普通用户可以在本地终端设备上按照特定用户的学习数据记录表的内容、时间和动作等信息，开展跟随式学习。通过跟随学习，可以使得普通用户可以模仿特定用户的学习方式，找到彼此之间存在的差距点，比如学习速度、答题结果等，由此提高了教学录播***的性能，提高了互联网教学的效率，促进用户学习效率的提高。

Description

一种互联网教学的录播***和方法 技术领域
本发明涉及互联网教学技术领域，特别是涉及一种可以跟随学习的互联网教学的录播***和方法。
背景技术
互联网技术的发展对于教育带来了巨大的改变，网络技术使得空间上的距离不断缩小，使得教学资源的分享更加方便。将课堂教学、讲座、会议等现场的音视频内容，甚至集成演示的内容制作成多媒体文体，存储于连接了互联网的教学服务器上，借助于点播和直播技术，用户可以随时随地通过互联网在线或回顾这些教学内容。借助于日益普及的网络，特别是移动互联网，通过各种互联网用户能够方便的开展网上教学、远程教学、课堂直播等。网上直播和录播***，不仅要录制教学、讲座、会议的视频、音频，还要与演示的内容集成在一起，需要较为复杂的设备和交互配合。
现有技术中提出了一系列的教学录播***或智慧校园***等，比如：
如图1所示，CN101833882A(公开日2010年9月15日)公开了一种用于教学的课程录制***，包括多媒体教室模块103(如讲台、中控、展台、笔记本、投影机等等)、教室场景摄像机采集模块102、自动跟踪探测模块101、录播工作站104、B/S架构点播模块107、编辑工作站105、录播***资源管理模块106以及外部条件等。
CN106355350A(公开日2017年1月25日)公开了一种智慧校园***，包括校园管理子***1和校园教学子***2，其中，智慧阅读考核子***可以根据接收到的学生进出阅览室的频率、时间、阅读书籍名称和数量等数据，进行分析计算并排名后将排行榜呈现在云互动电子黑板108上，激发学生的学习热情。
CN105306861A(公开日2016年2月3日)公开了一种***的可靠的教 学录播方法，其采用动作流、音频流、视频流等数据的分类录制和分类存储的方式，生成统一的时间戳进行标记，对需要加密的数据进行简单分割，建立对应关系表，根据需要单独获取录制数据，实现流畅的数据传送，使用本地的终端上客户端将这些数据有机组合起来，可以根据客户端的需要仅仅获取部分数据进行播放，比较***的解决了教学录播的已有问题。
CN103295171A(2013年9月11日)公开了一种基于智能录播***的S-T教学自动分析方法，包括音视频现场采集和录播***，网络传输***以及远程播放***，包括如下步骤：一、获取音视频现场采集和录播***在录制过程信号源的切换方式；二、对切换方式进行转换处理并生成xml文件；三、定义xml文件的视频源文件中参数为教师和学生的行为；四、计算教师行为百分比、学生行为百分比和转化率；五、利用网页界面展示S-T行为图。本发明能实现教师边录制课程，录播主机通过对视频源机位的智能化切换信息转化成教师行为信息序列表和学生行为信息序列表，视频录制完成后，经过自动化编码后，便可直接生成直观的S-T直方图，计算出本课例的转化率及依据常模判断出教学类型。
现有技术中，教学录播***关注的是整个教学过程的录制，一般可以通过音频、视频和演示(动作)等多种数据流进行记录，旨在重现教学的过程。而在传统的学习过程中，公认的是好的学习方法是提升学习成绩的重要保障，不同的学生都在寻觅适合自己的学习方法，除了凭感觉模仿那些学习好的同学以外，也只能通过面对面的交流、学习经验介绍等比较抽象的手段了解一名优秀学习者的学习方法，但是基本上无法掌握其学习的过程，这让很多学习者感到困惑，听到再多的，再好的学习方法，在具体落实的时候都觉得无处着手。
在传统的教学模式下，这样的问题除了靠学习者自己觉悟、探索以外，通常鲜有其他的有效途径。在实际生活中，也有一种有效的方式，只是对于现代社会来讲，比较难以保持，那就两名学习者始终在一起学习，特别是课后的时间，一名学习者与另一名学习更好的学习者保持学习的同步，通常会 特别有助于前者的学习成绩的提高。尽管在互联网时代，各种信息的分享方法和分享***有很多，比如，
CN103002054A(2013年3月27日)公开了一种基于网络的笔记分享方法，其特征在于，包括以下步骤：a、云端服务器接收并保存移动终端发送的针对文本信息的至少一个笔记以及所述文本信息和所述至少一个笔记在所述文本信息对应文档中的位置信息；b、所述云端服务器接收用户针对所述文本信息的笔记查询请求；c、所述云端服务器根据所述笔记查询请求查询以获取对应的笔记；以及d、所述云端服务器将对应的笔记发送给所述用户。云端服务器通过模糊匹配算法根据所述文本信息查询以获取对应的所述笔记，云端服务器将分享模式的每个所述笔记及每个所述笔记的账号信息一同显示给所述用户。
但是，对于基于互联网的教学录播***，尽管其目的也是教学资源的分享，但是在现有技术中，还没有公开了或暗示这样的发明构思，对用户在对教学资源的学习过程的部分数据再进行录制，形成学习数据记录表，普通用户在对教学资源进行学习的过程中，可以按照所述学习数据记录表执行学习，并且通过对学习数据的对比，可以找出不同用户之间的差距，从而促进学习效率的提高。虽然现有技术中，用户可以利用教学录播***进行点播回顾，但是这个过程中用户的自主学习，很多时候用户不知道如何掌握进度才能更好的学习，也不知道其他用户是如何学习的。
本发明正是针对现有技术存在的无法进行学***台，发挥互联网教学的优势，特别是对于课后自主学习的阶段，通过学习过程跟随或者同步学习，从技术层面使得用户可以随时与更好的学习者保持同步学习或者按照他们的学习过程进行学习，并且提供有关的比对，从而直观的找出差距，明确目标，借助本发明的***有助于学生养成良好的学习习惯。
发明内容
为了解决上述技术问题，根据本发明的一个方面，提供一种基于互联网的教学录播方法，包括以下步骤：
数据记录步骤，用于记录特定用户使用基于互联网教学的录播***进行点播回顾学习时，在这个学习过程中的学习数据，这些学习数据包括但不限于学习内容、起止时间、持续时间、时间分布、操作动作、答题结果等，推荐的包括这类信息的至少两种或者至少三种，特别是要包含时间信息，更优选的是包括所有上述这些信息，甚至还包含其他可能的可以记录的学习数据。所述学习数据也可以包括学习标注，所述学习标注是用户在学习过程中记录在相应位置的标记、文字或图案等信息，通过所述位置的信息可以将这些学习标注在适当位置比如与标注信息相同的位置显示给跟随学习的普通用户；优选的是，比如对于跟读式的练习或者需要语音回答的习题或者练习，将特定用户的这些信息也记录下来，可以发送给普通用户，普通用户可以不但跟标准答案进行比较，还可以与特定用户的音频进行比较，以感知差距。
记录形成步骤，用于将所述数据记录步骤中记录的有关学习数据，形成可以调用和执行的学习数据记录表，存储在服务器上，比如互联网教学服务器上，也可以存储于本地教学服务器上，或者局域网教学服务上等；所述的学习数据记录表可以是使用时间轴顺序进行标识的可用电子表格，比如XML。
跟随学习步骤，用于将所述学习数据记录表实时、延时或事后跟随给普通用户，普通用户可以按照所述学习数据记录表记录的有关学习数据进行跟随式学习；优选的，所述数据记录步骤中记录的有关学习数据，可以同步分享给普通用户，普通用户可以实时跟随学习；也可以是，适度延时跟随学习数据，普通用户进行跟随学习；还可以是，特定用户完成学习以后，形成完整的学习数据记录表之后，普通用户再跟随学习。
优选的，所述数据记录步骤中的特定用户是其学习方法或者学习成绩值得他人学习、借鉴或跟随的特定用户，所述特定用户可以是由经验数据确定的，比如教师指定的、普通用户选择的、用户自我推荐的，或者根据历史数 据统计确定的，比如根据历史学习记录分析推荐的等，一般为学习成绩较好和/或学习效率较高的用户。作为一种优选的情况，录播***根据过往的学习记录和学习成绩进行统计分析，筛选出那些优秀的用户，形成优秀用户推荐列表，并且将这些优秀用户作为特定用户，当这些用户登录录播***进行学习时，可以记录他们的学习数据，形成学习数据记录表。优选的，包括特定用户确认步骤，根据历史数据或经验数据确认特定用户的身份，与设定阈值进行比较后，进行确认，特定用户的学习记录表会与其所学习的录播课程一起保存在录播数据中，这样普通用户在点播回顾录播课程时，就可以根据信息的匹配选择想跟随的特定用户开展学习。
在实际应用中，所谓登录录播***进行学习的情况主要是指用户在课后的自主学习，比如点播回顾录播课程时，特别是课后复习、课外学习等，这样更具有实际的跟随学习的意义，因为大家在课堂上的学习基本上同时同步的，一般不存在跟随学习的需要。本发明主要想解决的是，课外自主学习时的跟随学习的问题，但是也不排除课堂的跟随的学习，比如一个班的某个用户通过基于互联网的教学录播***跟随其他班的特定用户学习的情况。
对于希望寻找跟随学习对象的用户而言，只需要通过基于互联网的教学录播***，填写或者输入自己的需求信息，包括比如个人信息、学习阶段、学习进程、学习成绩、兴趣爱好等，***根据这些信息与特定用户的情况进行匹配，生成推荐名单，用户可以从中选择至少一名特定用户，通过学习记录表，跟随其进行学习。优选的，在选择的时候，***生成的推荐名单可以发送给用户、与该用户相关的第三方用户，比如他的老师或者家长等，也可以是其选择的希望帮助做决定的普通用户，比如同学、朋友，由第三方帮助做出选择。
根据本发明的录播方法，
进一步包括，学习记录评价步骤，用于在普通用户根据所述学习数据记录表完成学习后，根据自身的感受，对于学习数据记录表进行评价。所述评价可是分数、星级，也可以是文字、音频、视频的评价。这些评价可以反馈 给特定用户，特定用户可以选择浏览或者查看这些信息。优选的，还可以将跟随学习用户的有关学习数据，比如习题答题的情况，发送给特定用户，让特定用户了解自己的优势，从而可以有助于明确进一步提升的目标。
根据本发明的录播方法，
进一步还包括，学习效果评价步骤，用于在普通用户根据所述学习数据记录表完成跟随学习后，形成自己的学习数据记录表，并通过与其跟随学习的特定用户的学习数据记录表进行学习数据的比对，找出与特定用户的差异，比如完成相同学习内容的学习时间上的整体差异，完成学习内容各个不同部分的时间分配，完成相同的习题练习之后，正确率的差异，具体错题的异同等。
进一步还包括，强化习题推荐步骤，用于根据差异错题的主题，向普通用户推荐同主题的强化习题，普通用户可以通过强化习题加强练习。本发明的录播***会根据所述错题的差异情况，比如特定用户没有做错，自己做错的那部分错题，双方都做错的，可以暂时不管，这里主要学习目标的有限性，对于学习更好的同学也没有掌握的内容，作为跟随者，可以暂时不关注，优先解决当前的差异，向所述普通用户推荐强化学习的有关类型的习题。
根据本发明的另一方面，提供一种互联网教学的录播***，其特征在于，用于执行上述录播方法的各个步骤。
根据本发明的另一方面，提供一种计算机设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其特征在于，所述处理器执行所述程序时可以实现上述的方法步骤。
根据本发明的又一方面，提供一种计算机存储介质，其存储了可以被计算机执行的程序，执行所述程序时可以实现上述的方法步骤。
本发明基于互联网的教学录播***，通过对特定用户对于录播课程的过程学习数据的记录和分享，解决了对于录播课程进行回顾学习的过程中，用户之间无法进行跟随学习的问题，有助于用户之间分享学习方法，有助于用户培养良好的学习习惯，有助于用户提高学习效率。
本发明附加的方面和优点将在下面的描述中部分给出，部分将从下面的描述中变得明显，或通过本发明的实施例或示例中了解到。
附图说明
本发明上述的附加的方面和优点从下面结合附图在描述中将变得明显和容易理解，其中：
图1是现有技术的课程录制***的架构示意图；
图2是本发明的基于互联网的录播***架构示意图；和
图3是本发明的基于互联网的录播方法流程示意图。
本发明的较佳实施方式
以下将结合附图，对本发明的具体实施方式进行进一步详细的描述。
图2是本发明的基于互联网的录播***架构示意图。如图2所示，各种用户包括教师用户100、学生用户200(以下称用户200)、特定学生用户300(以下称特定用户300)、家长用户400等，分别通过安装有软件客户端的用户终端101、201、301、401，经由互联网连接至教学服务器500(可以是本地教学服务器、局域网教学服务器、远程教学服务器、云端教学服务器等)，教师用户100通过用户终端101与多媒体课堂的录制设备501连接，可以开展基于互联网的教学活动，可以实现对于多媒体课堂的录制工作。
本发明中的用户终端包括：处理器、网络模块、控制模块、显示模块以及智能操作***；所述用户终端上可以设有通过数据总线连接各种拓展类设备和配件的多种数据接口；所述智能操作***包括Windows、Android及其 改进、iOS，在其上可以安装、运行应用软件，实现在智能操作***下的各种应用软件、服务和应用程序商店/平台的功能。
本发明中的用户终端可以通过RJ45/Wi-Fi/蓝牙/2G/3G/4G/G.hn/Zigbee/Z-ware/RFID等连接方式连接到互联网络，并借助互联网连接到其它的终端或其它电脑及设备，通过1394/USB/串行/SATA/SCSI/PCI-E/Thunderbolt/数据卡接口等多种数据接口或者总线方式，通过HDMI/YpbPr/SPDIF/AV/DVI/VGA/TRS/SCART/Displayport等音视频接口等连接方式，来连接各种拓展类设备和配件，组成了一个会议/教学设备互动***。带有软件形式的声音捕捉控制模块和动作捕捉控制模块，或通过数据总线板载硬件形式的声音捕捉控制模块和动作捕捉控制模块，来实现声控和形控功能；通过音视频接口连接显示/投影模块、麦克风、音响设备和其它音视频设备，来实现显示、投影、声音接入、音视频播放，以及数字或模拟的音视频输入和输出功能；通过数据接口连接摄像头、麦克风、电子白板、RFID读取设备，实现影像接入、声音接入、电子白板的使用控制和录屏，RFID读取功能，并通过相应的接口可接入和管控移动存储设备、数字设备和其它设备；通过DLNA/IGRS技术和互联网络技术，来实现的包括多屏设备之间的操控、互动和甩屏等功能。
在本发明中，处理器定义为包括但不限于：指令执行***，如基于计算机/处理器的***、专用集成电路(ASIC)、计算设备、或能够从非暂时性 存储介质或非暂时性计算机可读存储介质取得或获取逻辑并执行非暂时性存储介质或非暂时性计算机可读存储介质中包含的指令的硬件和/或软件***。所述处理器还可以包括任意控制器，状态机，微处理器，基于互联网络的实体、服务或特征，或它们的任意其它模拟的、数字的和/或机械的实现方式。
在本发明中，所述计算机可读存储介质定义为包括但不限于：能够包含、存储或保持程序、信息及数据的任意介质。计算机可读存储介质包括许多物理介质中的任一种，如电子介质、磁性介质、光介质、电磁介质或半导体介质。合适计算机可读存储介质以及用户终端和服务器使用的存储器的更具体示例包括但不限于：磁性计算机盘(如软盘或硬驱)、磁带、随机存取存储器(RAM)、只读存储器(ROM)、可擦除可编程只读存储器(EPROM)、光盘(CD)或数字视频光盘(DVD)、蓝光存储器、固态硬盘(SSD)、闪存。
在本发明中，互联网可以包括局域网和广域互联网，可以是有线互联网，也可以是无线互联网，或者这些网络的任意组合。
根据本发明的基于互联网的教学录播方法的实施例，包括：S10数据记录步骤、S20记录形成步骤、S30跟随学习步骤、S40学习记录评价步骤、S50学习效果评价步骤、S60强化习题推荐步骤，具体如下：
S10：数据记录步骤，用于记录特定用户在开展教学录播课程回顾学习 时，其学习过程中的学习数据，包括学习内容、起止时间、持续时间、操作动作和答题结果等。
对于使用基于互联网的教学录播***的不同用户，比如用户200和特定用户300，用户200可以称之为普通用户，通过用户终端201、301登录***之后，可以主要针对教学录播课程开展各种点播或者回顾学习活动。尽管在此用标记200和300分别指代用户(普通用户)和特定用户，实际上这两种用户都可以是学生用户，他们之间除了彼此的跟随学习关系之外，无实质差异，并且某些特定用户300可能也会作为普通用户200跟随其他的特定用户进行学习，在此进行区分只是为了表示用户彼此之间的跟随与被跟随的关系。
当用户(普通用户)被推荐或选择成为特定用户后，如果其通过***也确认可以作为特定用户分享学习记录，就正式成为特定用户300。对于特定用户300，可以是根据经验数据或历史数据确定的，通常是其学习方法或者学习成绩值得他人学习、借鉴或跟随的用户，特定用户300可以是教师指定的、普通用户选择的、用户自我推荐的、根据历史学习记录分析推荐的等等，一般为学习成绩较好和/或学习效率较高的用户。
在一个示例中，在开始数据记录步骤之前，录播***根据过往的学习记录和学习成绩进行统计分析，也就是大数据分析，分析的主要数据是学习时间和学习成绩数据，由此可以筛选出那些优秀的用户，形成优秀用户推荐列 表，并且将这些优秀用户作为特定用户，当这些用户登录录播***进行学习时，自动记录他们的学习数据，形成学习数据记录表。无论是根据经验数据还是历史数据，这些数据只有达到或者满足设定阈值时，才能确认为特定用户。至于大数据的具体分析方法不是本发明的发明内容，现有技术的大数据分析方法均可以执行这种大数据分析和处理。对于确认的特定用户300，添加关于其介绍的属性信息，比如学习能力的评估信息、学习成绩的等级信息、学习效率、特点、优势的信息等等。
在一个示例中，特定用户300使用的用户终端301的软件可以记录或录制特定用户300的学习过程的学习数据，在记录或录制时首先根据特定用户学习的录播课程生成有关记录ID，并且自动记录特定用户的学习内容、学习顺序、起止时间、持续时间、时间分布、操作动作、答题结果、学习标注等。学习内容主要是录播课程的内容，但是也包括特定用户在学习的过程中，在某个学习页面暂停学习并通过录播***查询的其他有关学习内容，比如某个公式、某个发音、某个知识点等。记录在各个学习页面停留的时间。对于操作动作，比如暂停、回退、查询等等，这些动作信息记录下，并且可以根据这些动作产生提示信息，特定用户反复在一个地方多次回退，说明这个地方确实比较难，或者比较重要。无论是录播课程本身记录的，还是通常与录播课程配套的，用户学习内容之后，一般要进行练习，包括习题练习、口语练习等等。记录练习结果，比如习题的正确和错误情况、口语的语音情况等等。 学习标注是特定用户在学习过程中记录在相应位置的标记、文字或图案等信息，通过所述位置信息可以将这些学习标注显示给跟随学习的普通用户。
S20：记录形成步骤，用于将所述数据记录步骤中记录的学习数据，形成可以调用和执行的学习数据记录表，并与所述录播课程一起存储在教学服务器上。
对于S10记录的各种学习数据，进一步的，按照时间顺序，比如通过时间戳标识的方式，将学习数据存储为一个文件，比如XML格式，也可以是TXT格式的等等，相当于针对于某个录制课程，按照时间轴顺序将特定用户的学习时间、学习动作、学习结果等信息记录保存下来。特定用户300的用户终端301，可以将上述学习数据，形成可以调用的学习数据记录表，比如XML格式的文件，并且与所学习的录制课程一起存储在教学服务器500上。
教学服务器500可以是互联网教学服务器上，也可以存储于本地教学服务器上，或者局域网教学服务上。可选的是，特定用户300的用户终端将记录的有关学习数据直接发送给教学服务器500，再由所述教学服务器500根据时间顺序数据生成学习数据记录表，并进行保存。
S30：跟随学习步骤，用于将所述学习数据记录表分享给普通用户，普通用户可以按照所述学习数据记录表的学习数据进行跟随学习。
对于用户200，当请求进行跟随学习时，可以向***提供个人需求信息，这些信息包括但不限于个人信息、学习阶段、学习进程、学习成绩、学习习 惯等等，***将根据这些信息与特定用户的属性信息进行匹配，生成推荐名单，用户可以从中选择特定用户，根据特定用户的学习数据记录表，跟随其学习。在一个示例中，在选择的时候，可以***生成的推荐名单可以发送给用户200、与该用户200相关的第三方用户，比如他的老师用户100或者家长用户400等，也可以是其选择的希望帮助做决定的朋友学生用户200。
用户200(普通用户)选定特定用户300后，可以获得其学习记录，开始跟随学习，在进行跟随学习时，***可以根据设定的提醒情况，为用户200发送提示信息，比如特定用户300开始学习时，给用户200发送提醒消息，用户200可以实时、延时或事后跟随特定用户，普通用户可以按照所述学习数据记录表记录的有关学习数据进行跟随式学习。
在一个示例中，所述数据记录步骤中记录的有关学习数据，可以同步分享给普通用户，普通用户可以实时跟随学习；也可以是，适度延时跟随学习数据，普通用户进行跟随学习；还可以是，特定用户完成学习以后，形成完整的学习数据记录表之后，普通用户再跟随学习。
在一个示例中，用户下载并围绕一个录制课程开始回顾学习时，***同时加载选定的学习数据记录表，根据记录表记录的信息，在开展跟随学习时，按照学习记录表记录的学习数据，比如学习内容和学习顺序，按照记录的时间，比如页面停留时间、做题时间，进行倒计时显示，倒计时显示并不代表自动进行下一个页面，倒计时显示只是提示作用，还要尊重普通用户的实际 执行能力；对于其中的动作，以字幕或语音提示的方式，比如此处页面暂停30秒或者此页面后回退看了某个页面等等，暂停时可能**用户查询了公式**；用户做习题用了**时间，正确和错误情况，然后时候进行比对这些数据，比如特定用户做错了三道题，跟随者做错了四道题，其中三道题是特定用户做错的，说明这三道题难度比较大，这个时候普通用户可以主要关心那一道特定用户没有做错的，并且针对性的开展后面的加强学习。
在实际应用中，登录录播***进行学习的情况主要是指用户200在课后的自主学习，特别是课后复习、课外学习等，这样更具有实际的跟随学习的意义，因为大家在课堂上的学习基本上同时同步的，一般不存在跟随学习的需要。
本发明主要想解决的也是，课外自主学习时的跟随学习，当然但是也不排除课堂的跟随的学习，在一个示例中，比如可以是一个班的某个用户通过基于互联网的教学录播***跟随其他班的特定用户学习的情况。
S40：学习记录评价步骤，用于在普通用户跟随所述学习数据记录表完成学习后，对于学习数据记录表进行评价。
在一个示例中，用户200还可以进行学习记录评价，在根据所述学习数据记录表完成学习后，根据用户200自身的感受，对于学习数据记录表进行评价。所述评价可是分数、星级，也可以是文字、音频、视频的评价。这些评价可以反馈给特定用户300，特定用户300可以选择浏览或者查看这些信 息。还可以将跟随学习用户的有关学习数据，比如习题答题的情况，发送给特定用户300，让特定用户300获得更多的学习思路，可以有助于特定用户300明确进一步提升的目标。
S50：学习效果评价步骤，将普通用户的学习数据记录和其跟随学习的特定用户的学习数据记录表进行比较，根据学习数据中的时间数据计算跟随度参数，对学习效果进行评价。
在一个示例中，还可以对用户200的学习效果进行评价，用于在用户200根据所述学习数据记录表完成跟随学习后，形成自己的学习数据记录表，自己的学习数据记录表可以保存在用户终端201本地，也可以上传至教学服务器500，再通过与特定用户300的学习数据记录表所记录的有关学习数据进行比对，找出与特定用户的差异，比如完成相同学习内容的学习时间上的差异，完成相同的习题，正确率的情况，具体错题的情况等等。
所述的跟随度参数根据以下公式计算，
Figure PCTCN2017099053-appb-000001
i＝1,2,3…n，n是正整数，用于表示学习数据记录表中第i个标记事件，T表示特定用户的学习数据记录表中第i个标记事件的相应时间，t表示普通用户的学习数据记录表中第i个标记事件的相应时间，δ表示第i个标记事件的权重系数，其中δ1+...+δi＝1，所述的标记事件比如学习页面、暂停、回退、做题等事件。
进一步的，教学服务器500通过学习数据记录表的信息以及获得的成绩变化情况，评估用户200在一段时间内跟随学习的效果。
S60：强化习题推荐步骤，根据所述错题题目的差异，向普通用户推荐跟错题属于同类的其他习题，进一步强化学习。
在一个示例中，本发明的录播***可以根据所述错题的差异情况，根据错题(特定用户300没有做错但用户200做错的习题)涉及的主题，从***的题库中检索提取有关的习题，并向所述普通用户推荐强化学习所涉及主题的习题，以加强学习和提高。对于双方都做错的习题，可以暂时不用理会，这主要体现的是学习目标的有限性和进阶性，对于学习更好的同学也没有掌握的内容，作为跟随者，可以暂时不用关注，先解决当前的差异性问题。当然，这种考虑只是一种优选方式或者常规的处理方式，也可以根据所有错题的主题，检索和推荐加强学习的多个习题。
在一个优选示例中，还包括反馈步骤，用于将用户200跟随特定用户300学习后的学习数据记录表的内容差异，形成差异报告，比如学习时间、差异的错题情况，反馈给教师或者家长，以便于专门的加强和指导。
以上介绍了本发明的较佳实施方式，旨在使得本发明的精神更加清楚和便于理解，并不是为了限制本发明，凡在本发明的精神和原则之内，所做的修改、替换、改进，均应包含在本发明所附的权利要求概括的保护范围之内。
工业实用性
本申请的所提供的一种互联网教学的录播***和方法基于互联网的教学录播***，通过对特定用户对于录播课程的过程学习数据的记录和分享，解决了对于录播课程进行回顾学习的过程中，用户之间无法进行跟随学习的问题，有助于用户之间分享学习方法，有助于用户培养良好的学习习惯，有助于用户提高学习效率。

Claims (13)

  1. 一种基于互联网的教学录播方法，包括以下步骤：
    数据记录步骤，用于记录特定用户在开展教学录播课程回顾学习时，其学习过程中的学习数据，包括学习内容、起止时间、持续时间、操作动作和答题结果等；
    记录形成步骤，用于将所述数据记录步骤中记录的学习数据，形成可以调用和执行的学习数据记录表，并与所述录播课程一起存储在教学服务器上；
    跟随学习步骤，普通用户在开展录播课程的回顾学习时，可以调用所述学习数据记录表，并且按照所述学习数据记录表记录的学习数据开展跟随学习。
  2. 根据权利要求1所述的方法，其特征在于，进一步包括，
    特定用户确认步骤，根据历史数据或经验数据，与设定阈值进行比较后，确认特定用户的身份，所述经验数据包括教师指定的、普通用户选择的、用户自荐的，所述历史数据是历史学习记录，所述特定用户优选为，学习成绩较好和/或学习效率较高的用户。
  3. 根据权利要求1所述的方法，其特征在于，
    所述学习过程是用户的自主学习过程，特别是课后复习、课外学习等，所述学习数据记录表是XML文件。
  4. 根据权利要求1所述的方法，其特征在于，
    所述跟随学习包括实时跟随、延时跟随、事后跟随中的至少一种。
  5. 根据权利要求1所述的方法，其特征在于，
    所述学习数据进一步包括学习标注，所述学习标注是特定用户在对所述录播课程回顾学习的过程中，记录在所述录播课程的相应位置的标记、文字或图案等信息，根据所述位置的信息将所述学习标注显示给跟随学习的普通 用户。
  6. 根据权利要求1所述的方法，其特征在于，进一步包括，
    学习记录评价步骤，用于在普通用户跟随所述学习数据记录表完成学习后，对于学习数据记录表进行评价。
  7. 根据权利要求6所述的方法，其特征在于，进一步包括，
    学习效果评价步骤，在普通用户跟随所述学习数据记录表完成学习后，形成自己的学习数据记录表，并通过将其与跟随学习的学习数据记录表所记录的学习数据进行比对，找出与特定用户存在的差异，所述差异包括学习时间上的整体差异、学习时间上的分配差异、正确率的差异、错题题目的差异等。
  8. 根据权利要求7所述的方法，其特征在于，进一步还包括，
    强化习题推荐步骤，根据所述错题题目的差异，向普通用户推荐跟错题属于同类的其他习题，进一步强化学习。
  9. 根据权利要求1所述的方法，其特征在于，
    跟随学习步骤中，普通用户提供自己的需求信息，根据所述需求信息与特定用户的属性进行匹配，形成向普通用户推荐的特定用户列表，普通用户可以从中选择至少一名特定用户的学习数据记录表。
  10. 根据权利要求9所述的方法，其特征在于，
    在普通用户进行选择的时候，将所述特定用户的列表可以发送给用户的教师、与该用户相关的第三方用户，或者是普通用户选择的希望帮助做决定的用户，通过第三方帮助做出选择。
  11. 一种互联网教学***，包括处理器和存储器，用于执行权利要求1-10之一的方法。
  12. 一种计算机设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其特征在于，所述处理器执行所述程序时实现如权利要求1-10中任一项的方法步骤。
  13. 一种计算机存储介质，其存储了可以被计算机执行的程序，执行所 述程序时可以实现如权利要求1-10中任一项的方法步骤。
PCT/CN2017/099053 2017-06-08 2017-08-25 一种互联网教学的录播***和方法 WO2019000617A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710431273.5A CN109040797B (zh) 2017-06-08 2017-06-08 一种互联网教学的录播***和方法
CN201710431273.5 2017-06-08

Publications (1)

Publication Number Publication Date
WO2019000617A1 true WO2019000617A1 (zh) 2019-01-03

Family

ID=64628637

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/099053 WO2019000617A1 (zh) 2017-06-08 2017-08-25 一种互联网教学的录播***和方法

Country Status (2)

Country Link
CN (1) CN109040797B (zh)
WO (1) WO2019000617A1 (zh)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109783563A (zh) * 2019-01-17 2019-05-21 东华大学 一种中小学教育管理***
CN110634091A (zh) * 2019-09-24 2019-12-31 重庆有趣体育文化推广有限公司 一种综合性儿童活动中心管理方法、***及其商业模式
CN112200441B (zh) * 2020-09-30 2021-07-20 上海松鼠课堂人工智能科技有限公司 基于大数据的家长参与教学的方法和***

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101154320A (zh) * 2006-09-27 2008-04-02 天象网络技术（上海）有限公司 电子课堂互动教学平台***
CN102822882A (zh) * 2010-01-15 2012-12-12 阿波洛集团公司 动态推荐学习内容
CN103166982A (zh) * 2011-12-09 2013-06-19 腾讯科技（深圳）有限公司 一种电子书注释信息的分享方法和设备
CN105205763A (zh) * 2015-11-06 2015-12-30 陈国庆 一种基于新媒体方式的教学方法及装置
CN105225553A (zh) * 2014-06-17 2016-01-06 中兴通讯股份有限公司 在线教育中课程的推荐方法及装置
US20160260342A1 (en) * 2014-02-19 2016-09-08 Pearson Education, Inc. Dynamic and individualized scheduling engine for app-based learning
CN106447559A (zh) * 2016-09-13 2017-02-22 广州中大数字家庭工程技术研究中心有限公司 一种基于移动终端的综合学习***
CN106485964A (zh) * 2016-10-19 2017-03-08 深圳市鹰硕技术有限公司 一种课堂教学的录制和点播的方法及***

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7388838B2 (en) * 2003-08-29 2008-06-17 Lucent Technologies Inc. Method and apparatus for adjustable QoS based admission control and scheduling WLANs
CN103021217A (zh) * 2011-09-20 2013-04-03 虞思华 一种交互式学习***
CN105869091B (zh) * 2016-05-12 2017-09-15 深圳市鹰硕技术有限公司 一种互联网教学过程中的数据校验方法

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101154320A (zh) * 2006-09-27 2008-04-02 天象网络技术（上海）有限公司 电子课堂互动教学平台***
CN102822882A (zh) * 2010-01-15 2012-12-12 阿波洛集团公司 动态推荐学习内容
CN103166982A (zh) * 2011-12-09 2013-06-19 腾讯科技（深圳）有限公司 一种电子书注释信息的分享方法和设备
US20160260342A1 (en) * 2014-02-19 2016-09-08 Pearson Education, Inc. Dynamic and individualized scheduling engine for app-based learning
CN105225553A (zh) * 2014-06-17 2016-01-06 中兴通讯股份有限公司 在线教育中课程的推荐方法及装置
CN105205763A (zh) * 2015-11-06 2015-12-30 陈国庆 一种基于新媒体方式的教学方法及装置
CN106447559A (zh) * 2016-09-13 2017-02-22 广州中大数字家庭工程技术研究中心有限公司 一种基于移动终端的综合学习***
CN106485964A (zh) * 2016-10-19 2017-03-08 深圳市鹰硕技术有限公司 一种课堂教学的录制和点播的方法及***

Also Published As

Publication number Publication date
CN109040797B (zh) 2020-06-02
CN109040797A (zh) 2018-12-18

Similar Documents

Publication Publication Date Title
CN109801194B (zh) 一种具有远程评价功能的跟随教学方法
WO2018223529A1 (zh) 一种基于互联网的录播课程跟随学习***和方法
US20200242953A1 (en) Internet teaching platform-based following teaching system
CN109801525B (zh) 一种用于网络教学的师生多维匹配方法和***
Dinmore Beyond lecture capture: Creating digital video content for online learning–a case study
CN209980508U (zh) 一种智慧黑板，及智慧教室的教学***
WO2018223528A1 (zh) 一种用于互联网学习平台的教学资源数据管理***
WO2018223530A1 (zh) 一种基于互联网的录播数据学习监控方法
CN111611434B (zh) 一种线上课程互动方法及互动平台
CN109697906B (zh) 一种基于互联网教学平台的跟随教学方法
US20190156691A1 (en) Systems, methods, and computer program products for strategic motion video
CN109035930B (zh) 一种基于互联网的录播数据推荐方法
CN111462561B (zh) 一种基于云计算的双师课堂管理方法及平台
CN110807959A (zh) 一种便于灵活教学的交互式教学方法
Safar et al. Students’ perspectives of the impact of online streaming media on teaching and learning at the college of education at Kuwait University
WO2019000617A1 (zh) 一种互联网教学的录播***和方法
US20220150290A1 (en) Adaptive collaborative real-time remote remediation
CN110809180A (zh) 信息处理设备和信息处理方法
CN109889916B (zh) 录播数据的应用***
KR20120027647A (ko) 학습컨텐츠 생성 시스템 및 방법
CN111081101A (zh) 一种互动录播***、方法及装置
Chunwijitra An advanced cloud-based e-learning platform for higher education for low speed internet
JP7380023B2 (ja) 情報処理装置、制御方法及びプログラム
TWM636088U (zh) 建立學習事件與驗證學習成效的線上學習系統
Gallant Video production as a pedagogical tool for 21st century learners

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17916382

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 17916382

Country of ref document: EP

Kind code of ref document: A1