Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of one application scenario of a memory-based learning method according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may generate the exercise content 103 based on the video learning file 102 corresponding to the acquired target learning content. Second, the computing device 101 may transmit the video learning file 102 and the exercise content 103 to a target device for presentation, and obtain an exercise score 104. Then, a test is performed based on the exercise score 104 described above, resulting in a test score 105. Finally, based on the test score 105 described above, it is determined whether learning is complete.
The computing device 101 may be hardware or software. When the computing device 101 is hardware, it may be implemented as a distributed cluster of multiple servers or terminal devices, or as a single server or single terminal device. When the computing device 101 is embodied as software, it may be installed in the hardware devices listed above. It may be implemented as a plurality of software or software modules, for example, for providing distributed services, or as a single software or software module. The present invention is not particularly limited herein.
It should be understood that the number of computing devices in fig. 1 is merely illustrative. There may be any number of computing devices, as desired for an implementation.
Fig. 2 is a flow chart of some embodiments of a memory-based learning method according to the present disclosure. The memory-based learning method of fig. 2 may be performed by the computing device 101 of fig. 1. As shown in fig. 2, the learning method based on the memory method includes:
step S201, generating exercise content based on the video learning file corresponding to the acquired target learning content.
In some embodiments, the video learning file is an animated video obtained by extracting key information from the target learning content, and when the target learning content is an ancient poem, the key information is a single sentence of the ancient poem or a single image in the ancient poem, that is, the video learning file is an animated video obtained by extracting a single sentence of the ancient poem or a single image in the ancient poem and then converting the extracted single sentence into the animated video.
In some embodiments, the execution subject of the learning method based on the memory method may sequentially generate the key information extraction exercise content, the picture voice association exercise content, the picture voice text association exercise content, the sequence exercise content, the understanding question and answer exercise content, and the reproduction exercise content based on the video learning file. The key information extraction exercise content comprises the following steps: setting a breakpoint at the key information, drawing or voice broadcasting the text of the video learning file, suspending when the text reaches the breakpoint, and displaying characters on a screen or playing the voice to indicate students to speak the key information. The picture voice association exercise content is as follows: and displaying pictures on a screen, and playing text contents of the video learning files through voice to indicate students to select the pictures corresponding to the text of the video learning files. The picture, voice and text association exercise content is as follows: displaying pictures and words on a screen, and playing text contents of the video learning file through voice to indicate students to select the pictures and words corresponding to the text contents of the video learning file. The sequence exercise content is as follows: displaying the disturbed characters or pictures in the video learning file on a screen, and indicating that students read in the correct sequence. The content of the understanding question-answer exercise is as follows: based on the content of the video learning file, generating a question about the content of the video learning file through semantic analysis to show student answers. The reproduction training content is as follows: the students are shown to repeat the content of the video learning files.
Step S202, transmitting the video learning file and the exercise content to target equipment for display, and obtaining an exercise score.
In some embodiments, transmitting the key information extraction exercise content to the target device for display, and obtaining a key information extraction exercise feedback score; responding to the key information extraction exercise feedback result to express the key information extraction exercise passing, generating picture voice association exercise content, transmitting the picture voice association exercise content to target equipment for display, and obtaining picture voice association exercise feedback scores; responding to the picture voice association exercise feedback result to express the picture voice association exercise passing, generating picture voice and word association exercise content, transmitting the picture voice and word association exercise content to target equipment for display, and obtaining a picture voice association word exercise feedback score; responding to the picture voice association text exercise feedback result to express the picture voice association text exercise passing, generating sequence exercise content, transmitting the sequence exercise content to target equipment for display, and obtaining sequence exercise feedback scores; and responding to the sequential exercise feedback score expression sequential exercise pass, sequentially carrying out understanding question-answering exercise and reproduction exercise, and obtaining an exercise score. In some alternative implementations of some embodiments, the exercise score is a weighted score of the understanding question and answer exercise and the recurring exercise result. In some alternative implementations of some embodiments, in response to the exercise feedback score being below the exercise score threshold, the characterization does not pass, the learning video is replayed, and after the replay is completed, the exercise is continued from the current exercise item.
Step S203, testing is conducted based on the exercise scores, and testing scores are obtained.
In some embodiments, the execution subject of the learning method based on the memory method may characterize the exercise qualification in response to the exercise score, and perform a sequential test to obtain a sequential test feedback score; responding to the qualification of the sequence test feedback score characterization sequence test, and carrying out picture voice and text association test to obtain a picture voice and text association test feedback score; and responding to the picture voice and text association test feedback scores to characterize the qualification of the picture voice and text association test, and performing a recurrence test to obtain recurrence test feedback scores. In some alternative implementations of some embodiments, the sequence test is: displaying the disturbed characters or pictures in the video learning file on a screen, and indicating that students read in the correct sequence. The picture voice and text association test comprises the following steps: displaying pictures and words on a screen, and playing text contents of the video learning file through voice to indicate students to select the pictures and words corresponding to the text contents of the video learning file. The reproduction test is as follows: the students are shown to repeat the content of the video learning files.
Step S204, based on the test scores, determining whether learning is completed.
In some embodiments, the execution subject of the learning method based on the memory method may determine whether the recurring test feedback score is greater than a preset threshold; determining that the learning is completed in response to the feedback score of the recurrence test being greater than a preset threshold, and generating a learning completion prompt; and transmitting the learning completion prompt to target equipment for display.
In some optional implementations of some embodiments, in response to the recurring test feedback score being greater than a preset threshold, the execution body of the learning method based on the memory method may synthesize a dubbing animation based on the content of the student's recurring, and transmit the dubbing animation to the target device or account.
In some embodiments, the subject of execution of the learning method based on memory may generate a star rating based on the feedback score; responding to the detection of interactive operation, and based on the animation content used for representing encouragement in the star rating selection system, answering questions in a voice interactive mode or a touch/click screen interactive mode; and transmitting the animation content to target equipment for display. In some alternative implementations of some embodiments, the manner within the execution body selection system for characterizing the animated content of the encouragement is a memory-based learning method: and generating a star rating according to the feedback score, and selecting the animation content based on the star rating. As an example, when a star is rated for one star, the AI teacher makes a fist: again, you are the most bar ≡! The star rating is that the AI teacher shakes the little red flag to say: all pairs, you too much-!
Compared with the prior art, the embodiment of the disclosure has the beneficial effects that: firstly, generating exercise content based on a video learning file corresponding to the acquired target learning content; secondly, transmitting the video learning file and the exercise content to target equipment for display, and obtaining exercise scores; then, testing based on the exercise scores to obtain test scores; finally, based on the test scores, whether the learning is completed is determined. According to the method provided by the embodiment of the disclosure, training content is generated based on the video learning file corresponding to the acquired target learning content, and the video learning file and the training content are transmitted to the target equipment for display, so that dependence on teachers and teaching environments is reduced. And acquiring exercise scores, performing a test based on the exercise scores to obtain test scores, and intelligently adjusting the learning progress according to individual conditions of students, so that the suitability of learning is improved. The method improves the adaptability of learning by a memory method and preschool children, and enhances the interactivity, the interestingness and the intellectualization of the learning method by the memory method.
Any combination of the above optional solutions may be adopted to form an optional embodiment of the present application, which is not described herein in detail.
The following are device embodiments of the present disclosure that may be used to perform method embodiments of the present disclosure. For details not disclosed in the embodiments of the apparatus of the present disclosure, please refer to the embodiments of the method of the present disclosure.
Fig. 3 is a schematic structural view of some embodiments of a learning device based on memory methods according to the present disclosure. As shown in fig. 3, the learning device based on the memory method includes: an information input learning module 301, an information encoding exercise module 302, an information extraction test module 303, and a learning completion module 304. Wherein, the information input learning module 301 is configured to generate exercise content based on the video learning file corresponding to the acquired target learning content; the information coding exercise module 302 is configured to transmit the video learning file and the exercise content to a target device for display, and acquire an exercise score; an information extraction testing module 303 configured to perform a test based on the exercise score to obtain a test score; the learning completion module 304 is configured to determine whether learning is complete based on the test scores.
In some optional implementations of some embodiments, the memory-based learning device is further configured to: the video learning file is an animation video obtained by extracting key information from the target learning content and then converting the key information.
In some optional implementations of some embodiments, the information input learning module 301 of the memory-based learning device is further configured to: and sequentially generating key information extraction exercise content, picture voice association exercise content, picture voice and word association exercise content, sequential exercise content, understanding question-answer exercise content and reproduction exercise content based on the video learning file.
In some alternative implementations of some embodiments, the information encoding exercise module 302 of the memory-based learning device is further configured to: transmitting the key information extraction exercise content to the target equipment for display, and acquiring a key information extraction exercise feedback score; responding to the key information extraction exercise feedback result to express the key information extraction exercise passing, generating picture voice association exercise content, transmitting the picture voice association exercise content to target equipment for display, and obtaining picture voice association exercise feedback scores; responding to the picture voice association exercise feedback result to express the picture voice association exercise passing, generating picture voice and word association exercise content, transmitting the picture voice and word association exercise content to target equipment for display, and obtaining a picture voice association word exercise feedback score; responding to the picture voice association text exercise feedback result to express the picture voice association text exercise passing, generating sequence exercise content, transmitting the sequence exercise content to target equipment for display, and obtaining sequence exercise feedback scores; and responding to the sequential exercise feedback score expression sequential exercise pass, sequentially carrying out understanding question-answering exercise and reproduction exercise, and obtaining an exercise score.
In some optional implementations of some embodiments, the information extraction test module 303 of the memory-based learning device is further configured to: responding to the exercise score to represent that the exercise is qualified, and performing sequential testing to obtain a sequential testing feedback score; responding to the qualification of the sequence test feedback score characterization sequence test, and carrying out picture voice and text association test to obtain a picture voice and text association test feedback score; and responding to the picture voice and text association test feedback scores to characterize the qualification of the picture voice and text association test, and performing a recurrence test to obtain recurrence test feedback scores.
In some optional implementations of some embodiments, the learning completion module 304 of the memory-based learning device is further configured to: determining whether the feedback score of the recurrence test is greater than a preset threshold; determining that the learning is completed in response to the feedback score of the recurrence test being greater than a preset threshold, and generating a learning completion prompt; and transmitting the learning completion prompt to target equipment for display.
In some optional implementations of some embodiments, the memory-based learning device is further configured to: generating a star rating based on the feedback score; responding to the detection of interactive operation, and based on the animation content used for representing encouragement in the star rating selection system, answering questions in a voice interactive mode or a touch/click screen interactive mode; and transmitting the animation content to target equipment for display.
Referring now to FIG. 4, a schematic diagram of an electronic device 400 (e.g., computing device 101 of FIG. 1) suitable for use in implementing some embodiments of the present disclosure is shown. The server illustrated in fig. 4 is merely an example, and should not be construed as limiting the functionality and scope of use of the embodiments of the present disclosure in any way.
As shown in fig. 4, the electronic device 400 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 401, which may perform various suitable actions and processes according to a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage means 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the electronic device 400 are also stored. The processing device 401, the ROM402, and the RAM 403 are connected to each other by a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
In general, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, magnetic tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate with other devices wirelessly or by wire to exchange data. While fig. 4 shows an electronic device 400 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 4 may represent one device or a plurality of devices as needed.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications device 409, or from storage 408, or from ROM 402. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing device 401.
It should be noted that, in some embodiments of the present disclosure, the computer readable medium may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be embodied in the apparatus; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: generating exercise content based on the video learning file corresponding to the acquired target learning content; transmitting the video learning file and the exercise content to target equipment for display, and obtaining an exercise score; testing based on the exercise scores to obtain test scores; based on the test scores, it is determined whether learning is complete.
Computer program code for carrying out operations for some embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor includes an information input learning module, an information encoding exercise module, an information extraction test module, and a learning completion module. The names of these units do not constitute a limitation of the unit itself in some cases, and for example, the information input learning module may also be described as "a unit that generates exercise content based on the video learning file corresponding to the acquired target learning content".
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.