Word learning evaluation method and device for wearable device

Abstract

The invention discloses a word learning evaluation method and device of a wearable device, and the method comprises the steps: the wearable device provides learning data of word learning for a user, and the wearable device carries out the evaluation through a box and a circulation memory curve according to the familiarity of the user to each word mark. Words are learned and evaluated in a mode of combining the sub-boxes and the circulating memory curve, so that the word learning efficiency can be effectively improved, and the memory can be improved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of smart devices, and in particular to a word learning and evaluation method and device for a wearable device. Background Art

[0002] In recent years, wearable devices have become very popular. Wearable devices are portable devices that are worn directly on the body or integrated into the user's clothes or accessories. Wearable devices are not just hardware devices, but also powerful functions achieved through software support, data interaction, and cloud interaction. Wearable devices will bring great changes to our lives and perceptions.

[0003] At present, wearable devices have a variety of functions, but as portable devices, when their users are students, they do not have corresponding learning-related functions. Therefore, wearable devices are in urgent need of a solution for word learning and memory. Summary of the invention

[0004] The embodiments of the present invention provide a word learning and evaluation method and device for a wearable device, which can realize word learning and evaluation and improve the efficiency of word learning and memory of users.

[0005] In a first aspect, an embodiment of the present invention provides a word learning and evaluation method for a wearable device, comprising:

[0006] The wearable device provides the user with learning data of learning words;

[0007] The wearable device is evaluated according to the user's familiarity with each word mark through box division and loop memory curve.

[0008] Optionally, the wearable device is evaluated by dividing boxes and looping memory curves according to the user's familiarity with each word mark, including:

[0009] The wearable device sets multiple scores for each word;

[0010] The wearable device records unlearned words as a first score, and in the process of relearning the unlearned words, records the words marked by the user as unfamiliar as a second score, and performs learning and evaluation according to the cyclic memory curve based on the scores corresponding to the words; records the words marked by the user as mastered as the second score and performs evaluation on the same day, resets the scores of the words marked as mastered according to the evaluation results, and performs re-learning and evaluation according to the scores corresponding to the words according to the cyclic memory curve.

[0011] Optionally, the wearable device records the words marked as mastered by the user as a second score and then performs a day evaluation, and resets the score of the words marked as mastered according to the evaluation result, including:

[0012] The wearable device performs a daily evaluation on the words marked as mastered by the user. When the evaluation result is unqualified, the score of the words marked as mastered is not increased; when the evaluation result is qualified, the score of the words marked as mastered is set to the highest score.

[0013] Optionally, the wearable device performs re-learning and evaluation according to the cyclic memory curve according to the score corresponding to the word, including:

[0014] The wearable device re-learns and evaluates the word with the highest score according to the first preset time;

[0015] The wearable device will re-learn and evaluate the words except the word with the highest score according to different scores and at different preset times until the score of the word reaches the highest score and the evaluation result is qualified.

[0016] Optionally, the wearable device re-learns and evaluates the word with the highest score according to a first preset time, including:

[0017] The wearable device studies and evaluates the word with the highest score at a first preset time. If the evaluation result is qualified, the word with the highest score will not be re-learned; if the evaluation result is unqualified, the wearable device continues to study and evaluate again according to the first preset time until the evaluation result of the word with the highest score is qualified.

[0018] Optionally, the wearable device re-learns and evaluates the words other than the word with the highest score according to different scores and at different preset times, including:

[0019] During each learning and evaluation process, the wearable device increases the score of the word with a qualified evaluation result by 1, and keeps the score of the word with an unqualified evaluation result unchanged; and continues to learn and evaluate again according to different preset times based on different scores.

[0020] In a second aspect, an embodiment of the present invention provides a word learning and evaluation device for a wearable device, comprising:

[0021] A learning module, used for providing learning data of learning words to the user;

[0022] The memory module is used to evaluate the user's familiarity with each word token by dividing the box and looping the memory curve.

[0023] Optionally, the memory module is specifically used for:

[0024] Set multiple score values ​​for each word;

[0025] The unlearned words are recorded as the first score. In the process of re-learning the unlearned words, the words marked by the user as unfamiliar are recorded as the second score, and learning and evaluation are performed according to the cyclic memory curve based on the scores corresponding to the words; the words marked by the user as mastered are recorded as the second score and then evaluated on the same day, the scores of the words marked as mastered are reset according to the evaluation results, and learning and evaluation are performed again according to the cyclic memory curve based on the scores corresponding to the words.

[0026] Optionally, the memory module is specifically used for:

[0027] The words marked as mastered by the user are evaluated on the same day. When the evaluation result is unqualified, the score of the words marked as mastered is not increased; when the evaluation result is qualified, the score of the words marked as mastered is set to the highest score.

[0028] Optionally, the memory module is specifically used for:

[0029] The word with the highest score is studied and evaluated again according to the first preset time;

[0030] The words other than the word with the highest score are re-learned and evaluated according to different preset time according to different scores, until the score of the word reaches the highest score and the evaluation result is qualified.

[0031] Optionally, the memory module is specifically used for:

[0032] At a first preset time, the word with the highest score is studied and evaluated. If the evaluation result is qualified, the word with the highest score is no longer re-studied; if the evaluation result is unqualified, the word is continued to be studied and evaluated again according to the first preset time until the evaluation result of the word with the highest score is qualified.

[0033] Optionally, the memory module is specifically used for:

[0034] In each learning and assessment process, the score of the word with a qualified evaluation result is increased by 1, and the score of the word with an unqualified evaluation result remains unchanged; and the learning and assessment are continued according to different preset times based on different scores.

[0035] In a third aspect, an embodiment of the present invention further provides a computing device, including:

[0036] A memory for storing program instructions;

[0037] The processor is used to call the program instructions stored in the memory and execute the word learning and evaluation method of the wearable device according to the obtained program.

[0038] In a fourth aspect, an embodiment of the present invention further provides a computer-readable non-volatile storage medium, comprising computer-readable instructions. When a computer reads and executes the computer-readable instructions, the computer executes the above-mentioned word learning and evaluation method for a wearable device.

[0039] In the embodiment of the present invention, the wearable device provides the user with learning data of learning words, and the wearable device evaluates the user's familiarity with each word mark by means of box division and cyclic memory curve. Learning and evaluating words by combining box division and cyclic memory curve can effectively improve the efficiency of word learning and improve memory. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 A schematic diagram of a system architecture provided for an embodiment of the present invention;

[0042] Figure 2 A flowchart of a word learning and evaluation method for a wearable device provided by an embodiment of the present invention;

[0043] Figure 3 A schematic diagram of a box-by-box evaluation of a wearable device provided by an embodiment of the present invention;

[0044] Figure 4 A schematic diagram of a box division and cyclic memory curve evaluation of a wearable device provided by an embodiment of the present invention;

[0045] Figure 5 A schematic diagram of the structure of a word learning and evaluation device for a wearable device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] First, Figure 1 The structure shown is used as an example to introduce the wearable device applicable to the embodiment of the present invention. In the embodiment of the present invention, the wearable device 100 may include, but is not limited to, a radio frequency (RF) circuit 110, a memory 120, an input unit 130, a WiFi module 170, a display unit 140, a sensor 150, an audio circuit 160, a processor 180, and a motor 190.

[0048] Among them, those skilled in the art can understand that Figure 1 The structure of the wearable device 100 shown in the figure is only an example and not a limitation. The wearable device 100 may also include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0049] The RF circuit 110 can be used to receive and send signals during the process of sending and receiving information or making calls. In particular, after receiving the downlink information of the base station, it is processed by the processor 180; in addition, the uplink data of the wearable device 100 is sent to the base station. Generally, the RF circuit includes but is not limited to an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (LNA, LowNoiseAmplifier), a duplexer, etc. In addition, the RF circuit 110 can also communicate with the network and other devices through wireless communication. The above wireless communication can use any communication standard or protocol, including but not limited to the Global System for Mobile communication (GlobalSystem for Mobile communication, referred to as "GSM"), General Packet Radio Service (General PacketRadio Service, referred to as "GPRS"), Code Division Multiple Access (Code Division Multiple Access, referred to as "CDMA"), Wideband Code Division Multiple Access (Wideband Code Division Multiple Access, referred to as "WCDMA"), Long Term Evolution (Long Term Evolution, referred to as "LTE"), email, Short Messaging Service (Short Messaging Service, referred to as "SMS"), etc.

[0050] The memory 120 can be used to store software programs and modules, and the processor 180 executes various functional applications and data processing of the wearable device 100 by running the software programs and modules stored in the memory 120. The memory 120 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the wearable device 100 (such as audio data, a phone book, etc.), etc. In addition, the memory 120 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0051] The input unit 130 can be used to receive input digital or character information, and to generate key signals related to user settings and function control of the wearable device 100. Specifically, the input unit 130 may include a touch panel 131, a camera 132, and other input devices 133. The camera 132 can take pictures of the images to be acquired, thereby transmitting the images to the processor 180 for processing, and finally presenting the graphics to the user through the display panel 141. The touch panel 131, also known as a touch screen, can collect the user's touch operations on or near it (such as the user's operation on the touch panel 131 or near the touch panel 131 using any suitable object or accessory such as a finger, stylus, etc.), and drive the corresponding connection device according to a pre-set program. Optionally, the touch panel 131 may include two parts: a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch direction, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into the touch point coordinates, and then sends it to the processor 180, and can receive the command sent by the processor 180 and execute it. In addition, the touch panel 131 can be implemented in various types such as resistive, capacitive, infrared and surface acoustic wave. In addition to the touch panel 131 and the camera 132, the input unit 130 can also include other input devices 133. Specifically, other input devices 132 can include but are not limited to one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a joystick, etc.

[0052] Among them, the display unit 140 can be used to display information input by the user or information provided to the user and various menus of the wearable device 100. The display unit 140 may include a display panel 141. Optionally, the display panel 141 may be configured in the form of a liquid crystal display unit (LCD, Liquid Crystal Display), an organic light-emitting diode (OLED, Organic Light-Emitting Diode), etc. Further, the touch panel 131 may cover the display panel 141. When the touch panel 131 detects a touch operation on or near it, it is transmitted to the processor 180 to determine the type of touch event, and then the processor 180 provides a corresponding visual output on the display panel 141 according to the type of touch event.

[0053] Among them, the visual output external display panel 141 that can be recognized by the human eye can be used as a display device in the embodiment of the present invention to display text information or image information. Figure 1 In the embodiment, the touch panel 131 and the display panel 141 are used as two independent components to implement the input and output functions of the wearable device 100. However, in some embodiments, the touch panel 131 and the display panel 141 can be integrated to implement the input and output functions of the wearable device 100.

[0054] In addition, the wearable device 100 may further include at least one sensor 150, such as a posture sensor, a distance sensor, a light sensor, and other sensors.

[0055] Specifically, the attitude sensor can also be called a motion sensor, and as one of the motion sensors, an angular velocity sensor (also called a gyroscope) can be listed. When it is configured in the wearable device 100, it is used to measure the rotational angular velocity of the wearable device 100 in motion when it deflects or tilts. Thus, the gyroscope can accurately analyze and determine the actual action of the user using the wearable device 100, and then perform corresponding operations on the wearable device 100. For example: somatosensory, shake (shaking the wearable device 100 to achieve some functions), and inertial navigation based on the motion state of the object when there is no signal from the Global Positioning System (GPS) (such as in a tunnel).

[0056] The sensor may also be a light sensor, which is mainly used to collect information such as the wavelength and intensity of various light rays to adjust the backlight intensity of the display panel 141 .

[0057] In addition, in the embodiment of the present invention, as the sensor 150, other sensors such as a barometer, a hygrometer, a thermometer and an infrared sensor may also be configured, which will not be described in detail here.

[0058] The light sensor may further include a proximity sensor, which may turn off the display panel 141 and / or the backlight when the wearable device 100 is moved to the ear.

[0059] The audio circuit 160, the speaker 161, and the microphone 162 can provide an audio interface between the user and the wearable device 100. The audio circuit 160 can transmit the electrical signal converted from the received audio data to the speaker 161, which is converted into a sound signal for output; on the other hand, the microphone 162 converts the collected sound signal into an electrical signal, which is received by the audio circuit 160 and converted into audio data, and then the audio data is output to the processor 180 for processing, and then sent to, for example, another wearable device 100 through the RF circuit 110, or the audio data is output to the memory 120 for further processing.

[0060] WiFi is a short-range wireless transmission technology. The wearable device 100 can help users send and receive emails, browse web pages, and access streaming media through the WiFi module 170. It provides users with wireless broadband Internet access. Figure 1 A WiFi module 170 is shown, but it is understandable that it is not a necessary component of the wearable device 100 and can be omitted as needed without changing the essence of the invention.

[0061] The processor 180 is the control center of the wearable device 100. It uses various interfaces and lines to connect various parts of the entire wearable device 100, and executes various functions and processes data of the wearable device 100 by running or executing software programs and / or modules stored in the memory 120, and calling data stored in the memory 120, so as to monitor the wearable device 100 as a whole. Optionally, the processor 180 may include one or more processing units; preferably, the processor 180 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications.

[0062] It is understandable that the above-mentioned modem processor may not be integrated into the processor 180.

[0063] The wearable device 100 may further include at least one motor 190. Since the wearable device 100 is a power-consuming device, the motor 190 may be a small motor. Meanwhile, a plurality of motors may be configured for the wearable device 100 according to the power that the motor can provide.

[0064] The wearable device 100 also includes a power supply (not shown) for supplying power to various components.

[0065] Preferably, the power supply can be logically connected to the processor 180 through a power management system, so that the power management system can manage charging, discharging, power consumption, etc. Although not shown, the wearable device 100 can also include a Bluetooth module, etc., which will not be repeated here.

[0066] It should be noted that the above Figure 1 The structure shown is only an example and is not limited to this embodiment of the present invention.

[0067] Figure 2 A word learning and evaluation process of a wearable device provided by an embodiment of the present invention is exemplarily shown. The process can be executed by a word learning and evaluation device of a wearable device, and the device can be a wearable device or can be located in the wearable device.

[0068] like Figure 2 As shown in the figure, the process specifically includes:

[0069] Step 201: The wearable device provides learning data of learning words to the user.

[0070] In the embodiment of the present invention, the learning data for learning words provided by the wearable device to the user may be learning data of different sensory organs, for example, the sensory organs may include but are not limited to eyes, ears, mouth, hands and brain, etc. That is, the user can learn words by seeing, listening, reading, writing and memorizing.

[0071] In step 202, the wearable device is evaluated according to the user's familiarity with each word mark by means of box division and loop memory curve.

[0072] Specifically, in the above learning process, the user can control the familiarity of each word by himself, and can also mark the familiarity of the word, for example, it can be unfamiliar, mastered, etc.

[0073] When conducting an evaluation, the specifics can be as follows:

[0074] First, the wearable device sets multiple scores for each word; then the wearable device records the unlearned words as the first score, and in the process of re-learning the unlearned words, records the words marked by the user as unfamiliar as the second score, and learns and evaluates according to the cyclic memory curve based on the scores corresponding to the words; records the words marked by the user as mastered as the second score and then performs an evaluation on the same day, resets the scores of the words marked as mastered according to the evaluation results, and re-learns and evaluates according to the cyclic memory curve based on the scores corresponding to the words.

[0075] When the words marked as mastered by the user are recorded as the second score for the same day evaluation, the wearable device can conduct the same day evaluation on the words marked as mastered by the user. When the evaluation result is unqualified, the score of the words marked as mastered will not be increased; when the evaluation result is qualified, the score of the words marked as mastered will be set to the highest score.

[0076] When the corresponding scores are re-learned and evaluated according to the cyclic memory curve, the wearable device will re-learn and evaluate the word with the highest score according to the first preset time; the wearable device will re-learn and evaluate the words other than the word with the highest score according to different preset times according to different scores, until the word scores the highest score and the evaluation result is qualified.

[0077] When the wearable device re-learns and evaluates the word with the highest score according to the first preset time, the wearable device learns and evaluates the word with the highest score at the first preset time. If the evaluation result is qualified, the word with the highest score will no longer be re-learned; if the evaluation result is unqualified, the re-learning and evaluation will continue according to the first preset time until the evaluation result of the word with the highest score is qualified.

[0078] It should be noted that during each learning and evaluation process, the wearable device will increase the score of the words with qualified evaluation results by 1, and keep the score of the words with unqualified evaluation results unchanged; and continue to learn and evaluate again according to different preset times based on different scores.

[0079] In order to clearly describe the above learning assessment process, a specific example will be used below to describe it.

[0080] The time rule for dividing the boxes can be: each word is worth 5 points, 0 for not learned, 1 for unfamiliar, 2 for relatively familiar, 3 for very familiar, 4 for super familiar, 5 for mastered.

[0081] The unlearned words in each word book are scored 0 points. If the student clicks on the word after learning and is not familiar with it, the word will not be tested after learning, and will be recorded as a 1-point word for re-learning and evaluation according to the time. If the student clicks (i.e. marks) that it has been mastered, the word will be evaluated after learning on the same day. If an unqualified evaluation item appears in the evaluation items, the word will be recorded as a 1-point word and the unqualified items will be studied and evaluated again according to the time. After each study and evaluation, if the evaluation is unqualified, no points will be added, and 1 point will be added if the evaluation is qualified. If the student clicks that it has been mastered, the word will be evaluated after learning on the same day, and all the words will pass the evaluation. The word will be recorded as a 5-point word and will be evaluated again the next day. If the evaluation is still passed, the word will no longer be studied and evaluated. If an unqualified word appears, it will be recorded as a 1-point word and will be studied and evaluated again according to the time. The specific form of expression can be as follows: Figure 3 shown.

[0082] Combined with the sub-time rules of the above sub-boxes, the time rules of the cyclic memory curve can include:

[0083] The first time, the 5-point words will be studied and evaluated again the next day;

[0084] 1 point words are studied and assessed again on the third day after the last bonus;

[0085] 2-point words are studied and assessed again on the fifth day after the last bonus;

[0086] 3-point words are studied and assessed again on the eighth day after the last bonus;

[0087] 4-point words are studied and assessed again on the 16th day after the last bonus;

[0088] The first 5-point words will still be 5 points in the next day's assessment, and the words that have risen to 5 points will no longer be studied or assessed.

[0089] The specific expression of the time law of the above-mentioned box division and loop memory curve can be as follows Figure 4 shown.

[0090] Based on the same technical concept, Figure 5 The structure of a word learning and evaluation device for a wearable device provided by an embodiment of the present invention is exemplarily shown, and the device can execute a word learning and evaluation process for the wearable device.

[0091] like Figure 5 As shown, the device may include:

[0092] The learning module 501 is used to provide the user with learning data for learning words;

[0093] The memory module 502 is used to evaluate the user's familiarity with each word mark by dividing the box and looping the memory curve.

[0094] Optionally, the memory module 502 is specifically used for:

[0095] Set multiple score values ​​for each word;

[0096] The unlearned words are recorded as the first score. In the process of re-learning the unlearned words, the words marked by the user as unfamiliar are recorded as the second score, and learning and evaluation are performed according to the cyclic memory curve based on the scores corresponding to the words; the words marked by the user as mastered are recorded as the second score and then evaluated on the same day, the scores of the words marked as mastered are reset according to the evaluation results, and learning and evaluation are performed again according to the cyclic memory curve based on the scores corresponding to the words.

[0097] Optionally, the memory module 502 is specifically used for:

[0098] The words marked as mastered by the user are evaluated on the same day. When the evaluation result is unqualified, the score of the words marked as mastered is not increased; when the evaluation result is qualified, the score of the words marked as mastered is set to the highest score.

[0099] Optionally, the memory module 502 is specifically used for:

[0100] The word with the highest score is studied and evaluated again according to the first preset time;

[0101] The words other than the word with the highest score are re-learned and evaluated according to different preset time according to different scores, until the score of the word reaches the highest score and the evaluation result is qualified.

[0102] Optionally, the memory module 502 is specifically used for:

[0103] At a first preset time, the word with the highest score is studied and evaluated. If the evaluation result is qualified, the word with the highest score is no longer re-studied; if the evaluation result is unqualified, the word is continued to be studied and evaluated again according to the first preset time until the evaluation result of the word with the highest score is qualified.

[0104] Optionally, the memory module 502 is specifically used for:

[0105] In each learning and assessment process, the score of the word with a qualified evaluation result is increased by 1, and the score of the word with an unqualified evaluation result remains unchanged; and the learning and assessment are continued according to different preset times based on different scores.

[0106] Based on the same technical concept, an embodiment of the present invention further provides a computing device, including:

[0107] A memory for storing program instructions;

[0108] The processor is used to call the program instructions stored in the memory and execute the word learning and evaluation method of the wearable device according to the obtained program.

[0109] Based on the same technical concept, an embodiment of the present invention also provides a computer-readable non-volatile storage medium, including computer-readable instructions. When a computer reads and executes the computer-readable instructions, the computer executes the word learning and evaluation method of the wearable device.

[0110] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0111] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0112] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0113] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0114] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A word learning and evaluation method for a wearable device, characterized in that: include: The wearable device provides the user with learning data of learning words; The wearable device is evaluated according to the user's familiarity with each word mark through box division and loop memory curve.

2. The method according to claim 1, characterized in that The wearable device is evaluated based on the user's familiarity with each word mark by means of box division and loop memory curve, including: The wearable device sets multiple scores for each word; The wearable device records unlearned words as a first score, and in the process of relearning the unlearned words, records the words marked by the user as unfamiliar as a second score, and performs learning and evaluation according to the cyclic memory curve based on the scores corresponding to the words; records the words marked by the user as mastered as the second score and performs evaluation on the same day, resets the scores of the words marked as mastered according to the evaluation results, and performs re-learning and evaluation according to the scores corresponding to the words according to the cyclic memory curve.

3. The method according to claim 2, characterized in that The wearable device records the words marked as mastered by the user as a second score and then performs a day evaluation, and resets the score of the words marked as mastered according to the evaluation result, including: The wearable device performs a daily evaluation on the words marked as mastered by the user. When the evaluation result is unqualified, the score of the words marked as mastered is not increased; when the evaluation result is qualified, the score of the words marked as mastered is set to the highest score.

4. The method according to claim 3, characterized in that The wearable device performs re-learning and evaluation according to the cyclic memory curve according to the scores corresponding to the words, including: The wearable device re-learns and evaluates the word with the highest score according to the first preset time; The wearable device will re-learn and evaluate the words except the word with the highest score according to different scores and at different preset times until the score of the word reaches the highest score and the evaluation result is qualified.

5. The method according to claim 4, characterized in that The wearable device re-learns and evaluates the word with the highest score according to the first preset time, including: The wearable device studies and evaluates the word with the highest score at a first preset time. If the evaluation result is qualified, the word with the highest score will not be re-learned; if the evaluation result is unqualified, the wearable device continues to study and evaluate again according to the first preset time until the evaluation result of the word with the highest score is qualified.

6. The method according to claim 9, characterized in that The wearable device re-learns and evaluates the words other than the word with the highest score according to different scores and at different preset times, including: During each learning and evaluation process, the wearable device increases the score of the word with a qualified evaluation result by 1, and keeps the score of the word with an unqualified evaluation result unchanged; and continues to learn and evaluate again according to different preset times based on different scores.

7. A word learning and evaluation device for a wearable device, characterized in that: include: A learning module, used for providing learning data of learning words to the user; The memory module is used to evaluate the user's familiarity with each word token by dividing the box and looping the memory curve.

8. The device according to claim 7, characterized in that The memory module is specifically used for: Set multiple score values ​​for each word; Recording the unlearned words as a first score, and in the process of relearning the unlearned words, recording the words marked by the user as unfamiliar as a second score, and learning and evaluating according to the cyclic memory curve based on the scores corresponding to the words; The words marked as mastered by the user are recorded as the second score and then evaluated on the same day. The scores of the words marked as mastered are reset according to the evaluation results, and the words are studied and evaluated again according to the cyclic memory curve based on the scores corresponding to the words.

9. A computing device, characterized in that include: A memory for storing program instructions; A processor, configured to call the program instructions stored in the memory, and execute the method according to any one of claims 1 to 6 according to the obtained program.

10. A computer-readable non-volatile storage medium, characterized in that: The method comprises computer-readable instructions, and when a computer reads and executes the computer-readable instructions, the computer is caused to execute the method according to any one of claims 1 to 6.

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