TW202309851A - Language learning and memorizing system based on internet of things - Google Patents

Abstract

A language learning and memorizing system based on internet of things is proposed. The language learning and memorizing system based on internet of things includes a plurality of cards, a plurality of sensors, a transmitting device, an electronic device and a cloud device. Each of the sensors is disposed on each of the cards, and each of the sensors is configured to detect a turning state data of each of the cards. The transmitting device is configured to transmit the turning state data and the turning time data. The electronic device includes a processing unit. The processing unit receives the turning state data and the turning time data and calculates an answering data according to the turning state data and the turning time data. The cloud device is signally connected to the electronic device, and analyzes a language learning result according to the answering data. Thus, the language learning and memorizing system based on internet of things combines the memory card game and language learning, thereby the child can learn and play at the same time.

Description

Internet of things-based language learning and memory system

The present invention relates to a language learning and memory system, in particular to a language learning and memory system based on the Internet of Things.

In the field of language learning, the pronunciation of letters at the entry stage of beginners is mostly memorized. However, the pronunciation of letters memorized through the above methods is mostly short-term memory and cannot be stored in the brain as long-term memory, which makes beginners at the entry stage. Give up studying. Memory card is a board game that finds the correct position of two cards of the same suit among multiple cards, which can increase memory, concentration and logical thinking.

In view of this, developing a language learning and memory system based on the Internet of Things that combines language learning and physical memory cards has become a worthy research and development goal for related companies.

Therefore, the object of the present invention is to provide a language learning and memory system based on the Internet of Things, which transmits the flip status data and flip time data of multiple cards to the mobile phone through the transmission device, and can further upload the answer data to the cloud device Then analyze the language learning results.

According to one embodiment of the structural aspect of the present invention, a language learning and memory system based on the Internet of Things is provided, which includes a plurality of cards, a plurality of sensors, a transmission device, an electronic device and a cloud device. The sensors are respectively arranged on the cards, and each sensor is used for sensing a flip state data of each card. The transmission device signal is connected to these sensors, and the transmission device receives the multiple flip state data of these sensors, and records the multiple flip time data corresponding to these flip state data, and the transmission device is used to transmit these flip states Status data and such flip time data. The electronic device signal is connected to the transmission device and includes a processing unit. The processing unit receives the face-turning state data and the face-turning time data, and the processing unit calculates at least one answer data according to the face-turning state data and the face-turning time data. The cloud device is connected to the electronic device via a signal and receives at least one answer data, and the cloud device analyzes a language learning result according to the at least one answer data.

In this way, the language learning and memory system based on the Internet of Things of the present invention combines memory card games and language learning to provide children with an entertaining learning method.

Other examples of the above-mentioned embodiment are as follows: one of the fronts of the aforementioned cards is marked with plural words, the number of these cards is twice the number of these words, and two of the cards correspond to one of the words. The flip state data is one of a front state and a reverse state.

Other embodiments of the above-mentioned embodiment are as follows: when the above-mentioned processing unit judges that the turning-over time data of the two cards corresponding to one of the words is in a time zone, whether the turning-over state data of the two cards are all Positive status, if yes, add 1 to at least one answer; if not, subtract 1 to at least one answer.

Other embodiments of the above-mentioned embodiment are as follows: the above-mentioned electronic device further includes a memory unit, a broadcast unit and an operation interface. The memory unit signal is connected to the processing unit, and is used for accessing a question list data, at least one answer data and language learning results. Wherein the topic list data contains at least two words. The signal of the broadcasting unit is connected to the processing unit and the memory unit, and is used for playing at least two words of the topic list data. The operation interface signal is connected to the processing unit, and the operation interface is operated by a user to modify at least two words of the topic list data.

Other examples of the foregoing embodiments are as follows: the foregoing language learning and memory system based on the Internet of Things further includes a reward output device. The reward output device is signal-connected to the electronic device, wherein when at least one answer data is incremented by 1, the reward output device outputs a reward.

Other examples of the above-mentioned embodiment are as follows: the above-mentioned reward output device is a gashapon machine, and the reward product is a gashapon.

Other embodiments of the above-mentioned embodiment are as follows: each of the above-mentioned sensors is a three-axis sensor.

Other examples of the above-mentioned implementation are as follows: the above-mentioned transmission device and the electronic device are connected through the bluetooth communication protocol.

Other examples of the aforementioned embodiment are as follows: the aforementioned electronic device is one of a desktop computer, a smart phone, a tablet computer, and a notebook computer.

Other embodiments of the above-mentioned implementation are as follows: the above-mentioned cloud device is used for a mobile device to view language learning results.

Embodiments of the present invention will be described below with reference to the drawings. For the sake of clarity, many practical details are included in the following narrative. However, the reader should understand that these practical details should not be used to limit the present invention. That is, in some embodiments of the present invention, these practical details are unnecessary. In addition, for the sake of simplifying the drawings, some commonly used structures and elements will be shown in a simple and schematic way in the drawings; and repeated elements may be denoted by the same reference numerals.

Please refer to FIG. 1 in conjunction with FIG. 1 . FIG. 1 is a schematic block diagram of a language learning and memory system 100 based on the Internet of Things according to an embodiment of the present invention. The language learning and memory system 100 based on the Internet of Things includes a plurality of cards 110 , a plurality of sensors 120 , a transmission device 130 , an electronic device 140 and a cloud device 150 . The sensors 120 are respectively disposed on the cards 110 , and each sensor 120 is used for sensing a flip state data 11 a of each card 110 . The transmission device 130 is signal-connected to these sensors 120, and the transmission device 130 receives the multiple flipping state data 11a of these sensors 120, and records the plural flipping time data 11b corresponding to these flipping state data 11a, and the transmission device 130 is used for transmitting the flip state data 11a and the flip time data 11b. The electronic device 140 is signal-connected to the transmission device 130 and includes a processing unit 142 . The processing unit 142 receives the face-reversal state data 11a and the face-reversal time data 11b, and the processing unit 142 calculates at least one answer data 12 according to the face-reversal state data 11a and the face-reversal time data 11b. The cloud device 150 is signal-connected to the electronic device 140 and receives at least one answer data 12 , and the cloud device 150 analyzes a language learning result 13 according to the at least one answer data 12 . In this way, the language learning and memory system 100 based on the Internet of Things of the present invention combines physical memory card games and language learning to achieve the effect of entertaining and teaching.

Specifically, the card 110 can be a hollow box-shaped structure formed by three-dimensional printing; the sensor 120 can be a three-axis sensor (MPU6050); the transmission device 130 can be a microcontroller (NRF51822); the electronic device 140 can be It is a desktop computer, a smart phone, a tablet computer, a notebook computer or other portable electronic devices with communication functions; the cloud device 150 can be a cloud computing device or a cloud server, but the present invention does not rely on This is the limit.

One of the cards 110 is marked with plural words on the front, the number of these cards 110 is twice the number of these words, and two of the cards 110 correspond to one of the words. The flip state data 11a is one of a front state and a reverse state. Specifically, the front of the card 110 is detachably provided with an English word picture card, and the English word picture card includes a word and a picture corresponding to the word. The sensor 120 can be disposed inside the card 110 . When the face of the card 110 is facing down, the Z-axis sensing value of the sensor 120 is 0.98, and the turned-over status data 11a is the reverse state; when the face of the card 110 is facing up, the sensing value of the Z-axis of the sensor 120 is - 0.98, the turned-over status data 11a is the front status. When the Z-axis sensing value of one of the sensors 120 changes, the sensor 120 will continue to read the Z-axis sensing value several times until it is confirmed that these Z-axis sensing values are all within an error tolerance value, then the sensor will The flip state data 11a of the detector 120 is sent to the transmission device 130 . The transmission device 130 is used to receive the flipping state data 11a of the sensors 120, and record the time when the transmission device 130 receives the flipping state data 11a, which is the flipping time data 11b. The transmission device 130 and the electronic device 140 can be connected through the Bluetooth communication protocol. In this way, the language learning and memory system 100 based on the Internet of Things of the present invention transmits the flip status data 11a and flip time data 11b of the card 110 to the electronic device 140 through the transmission device 130, allowing children to use the physical card 110 for language learning. Learning, while the electronic device 140 is managed by parents, so as to prevent children from using electronic products for too long.

The processing unit 142 judges whether the flipping time data 11b of the two cards 110 corresponding to one of the words are in a time zone, whether the flipping status data 11a of the two cards 110 are all positive, and if so, Then add 1 to at least one answer data 12 ; if not, then subtract 1 from at least one answer data 12 . Specifically, only when the two cards 110 corresponding to the correct words are turned over to the front state in succession, it means that the answer is successful. The two cards 110 with the correct words are turned over one after another to face up, which means that the answer fails. When the processing unit 142 judges that the answer of the round is successful, it adds 1 to the answer data 12 , and when the processing unit 142 judges that the answer of the round fails, it subtracts 1 from the answer data 12 . The processing unit 142 calculates the final answer data 12 and then sends the answer data 12 to the cloud device 150 .

The cloud device 150 allows a mobile device 20 to view the language learning result 13 . Specifically, the electronic device 140 uploads the answer data 12 to the cloud device 150 after calculating at least one answer data 12 , and the cloud device 150 performs statistics and analysis on the answer data 12 to obtain a language learning result 13 . In this embodiment, children conduct language learning training through the card 110, while parents and teachers can view the language learning results 13 located on the cloud device 150 through the mobile device 20. The language learning results 13 can include the number of correct answers, the number of wrong answers, The number of card flops, the number of times each word is used and the completion rate of the answer, but the present invention is not limited thereto. In this way, the IoT-based language learning and memory system 100 of the present invention allows parents to view the child's language learning results 13 through the mobile device 20 and cloud device 150, and further adjust the language training content according to the language learning results 13.

Please refer to FIG. 2 together. FIG. 2 is a schematic block diagram of a language learning and memory system 200 based on the Internet of Things according to another embodiment of the present invention. The language learning and memory system 200 based on the Internet of Things includes a plurality of cards 110 , a plurality of sensors 120 , a transmission device 130 , an electronic device 140 , a cloud device 150 , a reward output device 160 and a mobile device 20 . The electronic device 140 includes a processing unit 142 , a memory unit 144 , a broadcast unit 146 and an operation interface 148 . In this embodiment, the card 110, the sensor 120, the transmission device 130, the cloud device 150, the processing unit 142 of the electronic device 140, and the mobile device 20 are respectively the same as the card 110 and the sensor 120 of the embodiment in FIG. 1 , the transmission device 130 , the cloud device 150 , the processing unit 142 of the electronic device 140 , and the mobile device 20 have the same structure, and will not be repeated here. In particular, the electronic device 140 may further include a memory unit 144 , a broadcast unit 146 and an operation interface 148 . The language learning and memory system 200 based on the Internet of Things further includes a reward output device 160 .

The memory unit 144 is signally connected to the processing unit 142 and used for accessing a question list data 10 , at least one answer data 12 and language learning results 13 . Wherein the subject list material 10 includes at least two words. The broadcasting unit 146 is signal-connected to the processing unit 142 and the memory unit 144 and is used for playing at least two words of the topic list data 10 . The operation interface 148 is signal-connected to the processing unit 142 , and the operation interface 148 is operated by a user to modify at least two words of the topic list data 10 . Specifically, the topic list data 10 includes more than two different English words, the processing unit 142 drives the broadcast unit 146 to randomly play the words in the topic list data 10, and the user finds the corresponding word according to the pronunciation of the real person played by the broadcast unit 146. 110 cards. Moreover, the user can change the words in the topic list data 10 through the operation interface 148, so as to change the words for language training, and at the same time change the English word picture cards arranged on the card 110. In this way, the language learning and memory system 200 based on the Internet of Things of the present invention can expand and adjust the word library for training in real time, without being limited by the number of cards 110 .

The reward output device 160 is signal-connected to the electronic device 140, and when the answer data 12 is incremented by 1, the reward output device 160 outputs a reward (not shown). Specifically, the reward output device 160 can be a gashapon machine, and the reward can be a gashapon. In this way, the IoT-based language learning and memory system 200 of the present invention enhances children's sense of accomplishment and fun during training through the reward output device 160 .

It can be seen from the above-mentioned embodiments that the language learning and memory system based on the Internet of Things provided by the present invention has the following advantages: first, it combines memory card games and language learning to provide children with an entertaining learning method; second, through the transmission device The card's flip status data and flip time data are transmitted to the electronic device, allowing children to learn language through the physical card, and the electronic device is managed by the parents to prevent children from using electronic products for too long; Parents check the children's language learning results through mobile devices and cloud devices, and further adjust the language training content according to the language learning results; Fourth, the word library for training can be expanded and adjusted in real time, without being limited by the number of cards ; Fifth, enhance children's sense of accomplishment and fun when training through reward output devices.

10: Topic list information 11a: Flip state information 11b: Flip time information 12: Answer information 13: Language learning results 20:Mobile device 100,200: Internet of Things-based language learning and memory system 110: card 120: sensor 130: transmission device 140: Electronic device 142: processing unit 144: memory unit 146: broadcasting unit 148: Operation interface 150: Cloud device 160: reward output device

Figure 1 is a schematic block diagram of a language learning and memory system based on the Internet of Things according to an embodiment of the present invention; and FIG. 2 is a schematic block diagram of a language learning and memory system based on the Internet of Things according to another embodiment of the present invention.

11a: Flip state information

11b: Flip time information

12: Answer information

13: Language learning results

20:Mobile device

100: Language Learning and Memory System Based on Internet of Things

110: card

120: sensor

130: transmission device

140: Electronic device

142: processing unit

150: Cloud device

Claims (10)

A language learning and memory system based on the Internet of Things, including: plural cards; A plurality of sensors are respectively arranged on the cards, and each of the sensors is used to sense the status data of one of the cards; A transmission device, the signal is connected to these sensors, the transmission device receives the plurality of the flip state data of the sensors, and records the plurality of flip time data corresponding to the flip state data, the transmission device is used for transmit the flip status data and the flip time data; An electronic device, signally connected to the transmission device, comprising: A processing unit, receiving the flip status data and the flip time data, the processing unit calculates at least one answer data based on the flip status data and the flip time data; and A cloud device is connected to the electronic device with a signal to receive the at least one answer data, and the cloud device analyzes a language learning result based on the at least one answer data. The language learning and memory system based on the Internet of Things as described in claim 1, wherein, There are multiple words marked on the front of one of the cards, the number of these cards is twice the number of the words, and two of the cards correspond to one of the words; The flip state data is one of a front state and a reverse state. The language learning and memory system based on the Internet of Things as described in claim 2, wherein when the processing unit judges that the flip time data of the two of the cards corresponding to one of the words is in a time zone, the two of the cards Whether the flip state data of the cards are all in the face state, if so, add 1 to the at least one answer data; if not, subtract 1 to the at least one answer data. The language learning and memory system based on the Internet of Things as described in claim 2, wherein the electronic device further includes: a memory unit, signally connected to the processing unit, and used to access a question list data, the at least one answer data and the language learning result, wherein the question list data includes at least two of the words; a broadcasting unit, signally connected to the processing unit and the memory unit, and used to play the at least two words of the topic list data; and An operation interface, connected to the processing unit by a signal, the operation interface is operated by a user to modify the at least two words of the topic list data. The language learning and memory system based on the Internet of Things as described in claim 4 further includes: A reward output device is signal-connected to the electronic device, wherein when the at least one answer data is incremented by 1, the reward output device outputs a reward. The language learning and memory system based on the Internet of Things as described in Claim 5, wherein the reward output device is a gashapon machine, and the reward is a gashapon. The language learning and memory system based on the Internet of Things as described in Claim 1, wherein each of the sensors is a three-axis sensor. The language learning and memory system based on the Internet of Things as described in claim 1, wherein the transmission device and the electronic device are connected through a bluetooth communication protocol. The language learning and memory system based on the Internet of Things as described in Claim 1, wherein the electronic device is one of a desktop computer, a smart phone, a tablet computer, and a notebook computer. The language learning and memory system based on the Internet of Things as described in Claim 1, wherein the cloud device allows a mobile device to view the language learning results.

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