KR102516701B1 - Apparatus for generating wrong answer notes - Google Patents

Abstract

The present invention relates to an apparatus for generating incorrect answer notes, which comprises: a display unit; and a processor which receives an answer to a problem displayed on the display unit, checks, when it is determined that the answer is incorrect, information on the problem with the incorrect answer, classifies the problem with the incorrect answer based on the information on the problem, to save the same, so that an incorrect answer note is generated.

Description

Apparatus for generating wrong answer notes}

The present invention relates to an incorrect answer note generating device.

Recently, studies on various educational service systems that can be utilized in smart devices such as mobile phones and tablet PCs (personal computers) are being accelerated.

In order to increase the learning effect, learners create notes for incorrect answers after solving problems. If learner types are classified and information on problems that are different for each learner type is collected using technologies such as big data, problems that are different for each learner type A specific pattern can be analyzed.

If you can analyze the type of learner, create a database of incorrect answer notes for each learner type, and analyze the incorrect answer notes to accurately identify the pattern of incorrect answers to frequently incorrect questions, you will be able to solve problems more easily the next time you solve similar problems. It can be said that incorrect answer notes are effective for learning in that they can be raised.

It is necessary to research a technology that can more easily create and manage these incorrect answer notes from the user's point of view.

Registration No. 10-2016820

An object of the present invention is to provide a user-friendly wrong answer note generation device in order to solve the above problems.

The tasks of the present invention are not limited to the tasks mentioned above, and other tasks not mentioned will be clearly understood by those skilled in the art from the following description.

In order to achieve the above object, the apparatus for generating an incorrect answer note according to an embodiment of the present invention classifies and stores incorrect answer questions according to information about the problem.

An apparatus for generating an incorrect answer note according to an embodiment of the present invention includes a display unit; and receiving an answer to the problem displayed on the display unit, and when it is determined that the answer is incorrect, checking information on the incorrect answer problem, classifying and storing the incorrect answer problem based on the information on the problem, and storing the incorrect answer. A processor for generating a note; includes.

The processor first classifies the incorrect answer problem based on the subject of the incorrect answer problem.

The processor secondarily classifies the incorrect answer problem based on the problem book including the incorrect answer problem.

The processor, when a touch input to the entry button displayed on the display unit is received, enters my note creation mode, displays my note on a first area of the display unit, and displays a second area separated from the first area. A list of multiple incorrect answers is displayed in the area.

When a first question from the list is dragged in a touched state and dropped on a first page of the My Notes, the processor classifies the first question into the first page and stores the first question.

Details of other embodiments are included in the detailed description and drawings.

According to the present invention, there is one or more of the following effects.

First, there is an effect of increasing user convenience by generating a default incorrect answer note.

Second, since the user can directly create his or her wrong answer note, there is an effect of providing a user-customized service.

Third, there is an effect of increasing the learning effect for the user by generating data matching the wrong answer problem when generating an incorrect answer note and giving a reminder function to the incorrect answer note.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description of the claims.

1 is a configuration diagram of a system according to an embodiment of the present invention.
2 is a control block diagram of an incorrect answer note generating device according to an embodiment of the present invention.
3 is a flow chart of a method for generating an incorrect answer note according to an embodiment of the present invention.
4 is a flow chart of a method for generating an incorrect answer note according to an embodiment of the present invention.
5 to 8 are diagrams referenced to explain the operation of an incorrect answer note generation device according to an embodiment of the present invention.

Hereinafter, the embodiments disclosed in this specification will be described in detail with reference to the accompanying drawings, but the same or similar elements are given the same reference numerals regardless of reference numerals, and redundant description thereof will be omitted. The suffixes "module" and "unit" for components used in the following description are given or used together in consideration of ease of writing the specification, and do not have meanings or roles that are distinct from each other by themselves. In addition, in describing the embodiments disclosed in this specification, if it is determined that a detailed description of a related known technology may obscure the gist of the embodiment disclosed in this specification, the detailed description thereof will be omitted. In addition, the accompanying drawings are only for easy understanding of the embodiments disclosed in this specification, the technical idea disclosed in this specification is not limited by the accompanying drawings, and all changes included in the spirit and technical scope of the present invention , it should be understood to include equivalents or substitutes.

Terms including ordinal numbers, such as first and second, may be used to describe various components, but the components are not limited by the terms. These terms are only used for the purpose of distinguishing one component from another.

It is understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle. It should be. On the other hand, when an element is referred to as “directly connected” or “directly connected” to another element, it should be understood that no other element exists in the middle.

Singular expressions include plural expressions unless the context clearly dictates otherwise.

In this application, terms such as "comprise" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

1 is a configuration diagram of a system according to an embodiment of the present invention.

Referring to Fig. 1, the system 1 generates an incorrect answer note. The incorrect answer note may be described as a summary of incorrect answers generated in the user's (eg, learner's) problem solving.

The system 1 includes an incorrect answer note generating device 10 and a server 20 .

The incorrect answer note generating device 10 may exchange data by communicating with the server 20 . The incorrect answer note generating device 10 may receive data from the server 20 . The incorrect answer note generating device 10 may transmit data to the server 20 .

The wrong answer note generating device 10 may be possessed by a learner. The learner may solve the incorrect answer problem provided through the incorrect answer note generating device 10 and record the answer. The learner may be provided with various functions to be described later using the incorrect answer note generating device 10 .

The server 10 may provide data to the incorrect answer note generating device 10 . The server 10 may analyze the data received from the plurality of incorrect answer note generating devices 10 and provide the analysis result to the incorrect answer note generating device 10 . For example, the server 10 may analyze the cause of the occurrence of an incorrect answer in a problem with a high probability of occurrence of an incorrect answer, and provide the analysis result to the incorrect answer note generating device 10 . In this case, when an incorrect answer problem occurs, the incorrect answer note generating device 10 may provide a result of analyzing the cause of the occurrence through the display unit 15a (15).

The server 10 may store data received from the incorrect answer note generating device 10 . Depending on the embodiment, the server 10 may analyze data collected from the incorrect answer note generating device 10 .

2 is a control block diagram of an incorrect answer note generating device according to an embodiment of the present invention.

Referring to the drawings, an incorrect answer note generating device 10 includes a communication unit 11, a location data generation unit 12, a user input unit 13, a sensing unit 14, an output unit 15, a memory 16, It may include a processor 17, an interface unit 18 and a power supply unit 19.

The communication unit 11 is a device for performing wireless communication with an external device. Here, the external device may be the server 20 .

The communication unit 11 may include at least one of a transmission antenna, a reception antenna, a radio frequency (RF) circuit capable of implementing various communication protocols, and an RF element in order to perform communication.

The location data generation unit 12 is a module for acquiring the location (or current location) of the incorrect answer note generation device 10, and representative examples thereof include a Global Positioning System (GPS) module or a Wireless Fidelity (WiFi) module. . For example, if the incorrect answer note generating device 10 utilizes a GPS module, the location of the incorrect answer note generating device 10 may be obtained using a signal transmitted from a GPS satellite. As another example, the incorrect answer note generating device 10 utilizes a Wi-Fi module, based on information of a Wi-Fi module and a wireless access point (AP) that transmits or receives a wireless signal, an incorrect answer note generating device ( 10) can be obtained.

The user input unit 13 is for receiving information from a user, and the data collected by the user input unit 13 is analyzed by the processor 17 and processed as a user's control command.

The user input unit 13 may include a voice input unit (eg, a microphone), a touch input unit (eg, a touch screen), and a mechanical input unit (eg, a button).

The sensing unit 14 may include one or more sensors for sensing at least one of information within the incorrect answer note generating device 10 , surrounding environment information surrounding the incorrect answer note generating device 10 , and user information. For example, the sensing unit 14 may include a proximity sensor, an illumination sensor, a touch sensor, an acceleration sensor, a magnetic sensor, and a gravity sensor (G- sensor), gyroscope sensor, motion sensor, RGB sensor, infrared sensor (IR sensor), finger scan sensor, ultrasonic sensor, optical sensor sensor, eg camera), microphone, battery gauge, environmental sensor (eg barometer, hygrometer, thermometer, radiation detection sensor, heat detection sensor, gas detection sensor, etc.), chemical sensor (eg, an electronic nose, a healthcare sensor, a biometric sensor, etc.). Meanwhile, the apparatus 10 for generating an incorrect answer note disclosed in this specification may combine and utilize information sensed by at least two or more of these sensors.

The output unit 15 is for generating an output related to sight, hearing, or touch, and may include at least one of a display unit 15a, a sound output unit, a haptic module, and an optical output unit. The display unit 15a may implement a touch screen by forming a mutual layer structure or integrally with the touch sensor. Such a touch screen may function as a user input unit 13 providing an input interface between the incorrect answer note generating device 10 and the user, and at the same time provide an output interface between the incorrect answer note generating device 10 and the user. .

The memory 16 is electrically connected to the processor 17. The memory 16 may store basic data for the unit, control data for controlling the operation of the unit, and input/output data. The memory 16 may store data processed by the processor 17 . The memory 16 may be configured with at least one of ROM, RAM, EPROM, a flash drive, and a hard drive in terms of hardware. The memory 16 may store various data for overall operations of the incorrect answer note generating device 10, such as a program for processing or controlling the processor 17. The memory 16 may be implemented integrally with the processor 17 . Depending on the embodiment, the memory 16 may be classified as a sub-element of the processor 17 .

The interface unit 18 may exchange signals with an external electronic device by wire or wirelessly. The interface unit 280 may be composed of at least one of terminals, pins, cables, ports, circuits, elements, and devices.

The power supply unit 19 may supply power to the incorrect answer note generating device 10 . The power supply unit 19 may receive power from a battery and supply power to each unit of the incorrect answer note generating device 10 .

The processor 17 includes a communication unit 11, a location data generation unit 12, a user input unit 13, a sensing unit 14, an output unit 15, a memory 16, an interface unit 18, and a power supply unit. It is electrically connected to (19) and can exchange signals. The processor 17 includes application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors, and controllers. It may be implemented using at least one of controllers, micro-controllers, microprocessors, and electrical units for performing other functions.

The processor 17 may be driven by power provided from the power supply 19 . The processor 17 may receive data, process the data, generate signals, and provide signals while power is supplied by the power supply unit 19 .

The processor 17 may include a software module or a hardware module (hereinafter referred to as an artificial intelligence module) that implements artificial intelligence (AI). The processor 17 may input acquired data to an artificial intelligence module and use data output from the artificial intelligence module.

The artificial intelligence module may perform machine learning on input data using at least one artificial neural network (ANN).

The artificial intelligence module can learn by machine learning. Machine learning means that a computer learns through data without a person directly instructing the computer with logic, and through this, the computer solves the problem on its own.

Deep Learning is. Based on artificial neural networks (ANNs) to construct artificial intelligence, it is an artificial intelligence technology that allows computers to learn like humans on their own without being taught by humans as a method of teaching computers how to think. .

The artificial neural network (ANN) may be implemented in the form of software or hardware such as a chip.

The artificial intelligence module may include an artificial neural network (ANN) in the form of software or hardware in which properties of objects such as space properties and obstacles are learned.

For example, the artificial intelligence module may include deep neural networks (DNNs) such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep belief networks (DBNs) trained by deep learning. can

The artificial intelligence module may determine properties of space and objects included in input image data based on weights between nodes included in the deep neural network (DNN).

Also, according to embodiments, weights and biases constituting the deep neural network (DNN) structure may be stored in a memory.

Alternatively, according to embodiments, weights and biases constituting the deep neural network structure may be stored in an embedded memory of an artificial intelligence module.

The incorrect answer note generating device 10 may include at least one printed circuit board (PCB). Communication unit 11, location data generation unit 12, user input unit 13, sensing unit 14, output unit 15, memory 16, processor 17, interface unit 18, power supply unit ( 19) may be electrically connected to the printed circuit board.

3 is a flow chart of a method for generating an incorrect answer note according to an embodiment of the present invention.

Referring to FIG. 3 , the processor 17 may receive an answer to the problem while displaying the problem through the display unit 15a (S310).

The processor 17 may determine whether the received answer is an incorrect answer (S320).

When it is determined that the received answer is an incorrect answer, the processor 17 may check information on the incorrect answer question (S330). Here, the incorrect answer problem may be understood as a problem classified as an incorrect answer among the received answers.

Meanwhile, the information on the wrong answer question may include subject information of the question, information on the workbook containing the question, unit information of the question, information on the type of question (eg, subjective type, multiple choice type), and subject information of the question.

The processor 17 may generate an incorrect answer note by classifying and storing incorrect answers based on information about the problem (S340).

For example, the processor 17 may generate incorrect answer notes by classifying incorrect answer questions for each subject.

For example, the processor 17 may generate incorrect answer notes by classifying incorrect answer questions according to problem sets. In this case, the processor 17 may first classify the incorrect answer problem based on the subject of the incorrect answer problem. The processor 17 may secondarily classify the incorrectly answered questions based on the workbook including the incorrectly answered problems as a subclass of the primaryly classified subject.

Meanwhile, the processor 17 may set classification criteria for incorrect answer questions based on a user input.

The processor 17 may process the pre-classified incorrect answer problems in natural language (S350).

Natural Language Processing (NLP) is a branch of artificial intelligence that uses machine learning to process and interpret text and data.

The processor 17 may reclassify the incorrect answer problem through natural language processing (S360). The processor 17 may input words and sentences included in the problems and answers of the incorrect answer problem to the pre-learned natural language processing algorithm, and classify the incorrect answer problem into output categories. For example, the processor 17 may reclassify the incorrect answer problem into one of a plurality of categories through text classification.

The processor 17 may separately generate an incorrect answer note reclassified by the natural language processing algorithm (hereinafter, a second incorrect answer note) while maintaining the incorrect answer note (hereinafter, a first incorrect answer note) generated in step S340. .

The processor 17 may selectively provide a first incorrect answer note classified according to the curriculum system and a second incorrect answer note reclassified by a natural language processing algorithm according to a user input. Due to this function, learners can learn three-dimensionally using incorrect answer notes.

The processor 17 may analyze the incorrect answer note and provide a result (S370).

The processor 17 may provide an analysis result of an incorrect answer note using data received from the server 20 .

The processor 17 may receive a result obtained by analyzing data of a plurality of incorrect answer note generating devices from the server 20 and output the result through the output unit 15 . For example, the processor 17 may provide units and problems for learning necessary concepts related to the first incorrect answer problem as a result.

The processor 17 may provide grouping information as a result of analyzing incorrect notes.

The server 20 may receive information about incorrect answers from a plurality of incorrect answer note generating devices. The server 20 may group a plurality of incorrect answer note generating devices based on the information on the incorrect answer problem. For example, the server 20 may group a plurality of incorrect answer note generating devices based on the ratio of incorrect answer questions corresponding to the first unit of the first subject. The server 20 may transmit grouping information to the grouped incorrect answer note generating device. The processor 17 may receive grouping information and output the grouping information through the output unit 15 . The processor 17 may perform group learning based on user input. Here, group learning may be defined as performing learning while exchanging data on incorrect answer notes between grouped incorrect answer note generators.

4 is a flow chart of a method for generating an incorrect answer note according to an embodiment of the present invention.

Referring to FIG. 4 , the processor 17 may enter my note creation mode based on a user input (S410). For example, the processor 17 may enter my note creation mode when a touch input to the entry button displayed on the display unit 15a is received. My notes may be defined as incorrect answer notes that are classified and created by a user (eg, a learner).

The processor 17 may display my note in the first area of the display unit 15a (S420). My note may be composed of a plurality of pages, and the processor 17 may display at least one of the plurality of pages in the first area.

The processor 17 may display a plurality of incorrect answer question lists on the second area of the display unit 15a (S430). The second region is a region separated from the first region.

The processor 17 may select an incorrect answer note to be included in my note through receiving a drag and drop input (S440). For example, the processor 17 may classify and store the first question in the first page when the first question in the list is dragged in a touched state and dropped on the first page of my notes.

When receiving a touch input for a button, the processor 17 may insert data by matching with the selected incorrect answer question (S460). In this case, the data can be recorded in My Notes along with the selected incorrect answer question.

On the other hand, the data includes information related to the selected incorrect answer problem, and may play a role of increasing the learner's memory for the incorrect answer problem and the correct answer. For example, the data may be image data for a keyword included in an incorrect answer problem. For example, the data may be time data or location data at the time of generating an answer to an incorrect answer problem.

Meanwhile, the data may be photo data pre-stored in the memory 16 of the incorrect answer note generating device 10 . The processor 17 may select a photo matching the keyword from among photos pre-stored in the memory 16 based on the keyword extracted from the incorrect answer problem. The processor 17 may generate keywords for photos pre-stored in the memory 16 using an artificial intelligence algorithm. The processor 17 may compare the keyword extracted from the incorrect answer question with the keyword for the photo, based on whether the keyword matches or whether the keyword corresponds to the same category. The processor 17 may match and record the wrong answer problem and the photo data according to the comparison result.

The processor 17 may present the selected photo as data matching the incorrect answer question, match the selected photo data with the incorrect answer question, and record it in my note according to the user's selection.

As a result, when the learner learns the wrong answer problems recorded in my notebook, he/she can check the data and improve the memory for the wrong answer problems.

The processor 17 may complete my note generation (S470).

5 to 8 are diagrams referenced to explain the operation of an incorrect answer note generation device according to an embodiment of the present invention.

Referring to FIG. 5 , the processor 170 may set a subject as a primary classification and set a workbook as a secondary classification to generate an incorrect answer note.

As illustrated in FIG. 5 , the processor 170 may generate an incorrect answer note so that the first incorrect answer question 530 is included in the first workbook 520 in the Korean subject 510 . The processor 170 may generate incorrect answer notes by including a plurality of workbooks in the Korean subject 510 . The processor 170 may generate incorrect answer notes by including a plurality of incorrect answer questions in each of a plurality of problem books.

The processor 170 may generate incorrect answer notes for a plurality of subjects, based on information on incorrect answers, such as math, English, social studies, and the like, in addition to Korean language subjects.

The processor 170 may display an incorrect answer note on the display unit 15a based on the user input.

When a touch input for a subject icon is received while an incorrect answer note is displayed, the processor 170 may display a workbook icon classified as a corresponding subject.

The processor 170 may display an incorrect answer included in the workbook corresponding to the touched icon when a touch input for any one icon is received while a plurality of workbook icons are displayed.

Referring to FIGS. 6 and 7 , the processor 170 may create my note based on a user input.

When a touch input to the create my note button 601 is received, the processor 170 may display the create my note area 602 .

When the first note 610 is selected while the my note creation area 602 is displayed, the processor 170, as illustrated in FIG. 7 , at least one page included in the first note 610 ( 611 and 612 may be displayed on the first area 710 .

The processor 170 may display the incorrect answer question list 700 on the second area 720 .

When the first incorrect answer question 701 of the list 700 is dragged in a touched state and dropped on the first page 611 in the first area 710, the processor 170 determines the first incorrect answer question 701. ) may be included in the first page 611 .

When the second incorrect answer question 702 of the list 700 is dragged to the touched state and dropped on the second page 612 in the first area 710, the processor 170 determines the second incorrect answer question ( 702) may be included in the second phase 612.

As a result, it is possible for the learner to directly create an incorrect answer note according to his/her own intention, enabling efficient learning.

Referring to FIG. 8 , the processor 170 may generate an incorrect answer note (S810).

The processor 170 may set a reminder based on the user input (S820). For example, the processor 170 may set the number of reminders and the reminder period.

The processor 170 may perform a reminder operation for the wrong answer note at a set number of times and cycles.

The processor 170 may perform a first reminder (S830).

The processor 170 may perform the first reminder while outputting content associated with recorded data matched with an incorrect answer problem. For example, the processor 170 may perform the first reminder while displaying a stored photo matched with an incorrect answer question.

The processor 170 may record review using the incorrect answer note according to the primary reminder (S840). At this time, the processor 170 may exclude questions with correct answers from the incorrect answer note during problem solving according to the primary reminder.

The processor 170 may perform a secondary reminder (S850).

The processor 170 may perform a secondary reminder while outputting content associated with recorded data matched with an incorrect answer problem. For example, the processor 170 may perform a secondary reminder while displaying a stored photo matched with an incorrect answer question.

When the second reminder is operated, the processor 170 may output content different from the content output at the time of the first reminder.

The processor 170 may record review using the incorrect answer note according to the secondary reminder (S860). At this time, the processor 170 may exclude questions with correct answers from the incorrect answer note during problem solving according to the secondary reminder.

The above-described present invention can be implemented as computer readable code on a medium on which a program is recorded. The computer-readable medium includes all types of recording devices in which data that can be read by a computer system is stored. Examples of computer-readable media include Hard Disk Drive (HDD), Solid State Disk (SSD), Silicon Disk Drive (SDD), ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc. there is Also, the computer may include a processor or a control unit. Accordingly, the above detailed description should not be construed as limiting in all respects and should be considered illustrative. The scope of the present invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of the present invention are included in the scope of the present invention.

1: System
10: Incorrect answer note generating device

Claims (5)

A memory for storing a plurality of photos;
display unit; and
Receiving an answer to the problem displayed on the display unit;
If it is determined that the answer is incorrect, check information about the incorrect answer,
generating an incorrect answer note by classifying and storing the incorrect answer problem based on the information about the problem;
When a touch input to the entry button displayed on the display unit is received, in a state in which my note creation mode is entered, a processor that matches selected incorrect answer questions and data and records them in my note,
The data is
It increases the memory for the selected incorrect answer problem and the correct answer, and includes image data for keywords included in the selected incorrect answer problem, time data and location data at the time of generating the answer to the selected incorrect answer problem,
the processor,
Time point of selecting a first photo matching the extracted keyword among the photos stored in the memory based on the keyword extracted from the selected incorrect answer question, and generating an answer to the selected incorrect answer question using image data of the first photo Matching the selected incorrect answer problem with the time data and place data of and recording it in the my note,
An apparatus for generating an incorrect answer note for outputting the first photo according to a predetermined cycle and performing a reminder for an incorrect answer problem matched with the first photo. According to claim 1,
the processor,
An incorrect answer note generating device for first classifying the incorrect answer problem based on the subject of the incorrect answer problem. According to claim 2,
the processor,
An apparatus for generating an incorrect answer note that secondarily classifies the incorrect answer problem based on the problem book including the incorrect answer problem. According to claim 1,
the processor,
An apparatus for generating incorrect answer notes for displaying my notes in a first area of the display unit and displaying a plurality of incorrect answer question lists in a second area separated from the first area. According to claim 4,
the processor,
When a first question from the list is dragged in a touched state and dropped on a first page of the My Notes, the incorrect answer note generating device classifies and stores the first question on the first page.

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