KR101796713B1 - Method for managing study plan using mobile device - Google Patents

Abstract

The present invention relates to a method for managing a learning plan by using a mobile device which comprises the steps of: determining the total amount of learning and a learning period; generating a learning plan for performing the total amount of learning within the learning period; suggesting the target amount of learning based on the learning plan; obtaining the actual amount of learning; measuring an actual learning time; calculating the learning speed by using the actual amount of learning and the actual learning time; and re-generating a learning plan of the remaining time based on the actual amount of learning and the learning speed.

Description

{METHOD FOR MANAGING STUDY PLAN USING MOBILE DEVICE}

The present invention relates to a method for managing a learning plan using a mobile device.

Many applications and other services that assist users' learning by using a mobile device are disclosed. For example, there are a stopwatch application for checking the actual learning time of the user or a scheduler application for managing the learning plan.

The scheduler application that manages the learning plan can be classified into diverse categories, from diary-type applications in which the user directly inputs learning plans to learning planner applications that automatically generate learning plans to achieve learning goals.

However, in the case of the existing learning plan management service, if the user can not perform the learning as planned even for a single day, there is a problem that the subsequent learning plan becomes meaningless. In this case, a new learning plan must be generated every time, and there may be a problem that the target amount of learning can not be performed within the period. Therefore, it is required to develop a technique capable of flexibly adjusting the learning plan based on the actual learning amount of the user.

Published Japanese Patent Application Laid-Open No. 10-2015-0088759, Publication No. 2015.08.03

A problem to be solved by the present invention is to provide a method of managing a learning plan using a mobile device. In particular, it provides a method for automatically re-creating a learning plan based on the learning progress state of a user.

The problems to be solved by the present invention are not limited to the above-mentioned problems, and other problems which are not mentioned can be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention, there is provided a method of managing a learning plan using a mobile device, the method comprising: determining a total amount of learning and a learning period; A step of presenting a target learning amount based on the learning plan, a step of acquiring an actual learning amount, a step of measuring an actual learning time, a step of calculating a learning speed using the actual learning amount and the actual learning time And regenerating a learning plan of the remaining period based on the actual learning amount and the learning speed.

In addition, the step of regenerating the learning plan may include calculating a remaining amount of learning not yet performed in the entire amount of learning and generating a learning plan for performing the remaining amount of learning within the remaining time.

The step of regenerating the learning plan further includes the steps of generating a review plan for the actual learning amount, acquiring a review learning amount for performing the review plan, and performing the remaining learning amount and the review learning amount within the remaining time period And generating a learning plan for performing the learning.

The step of regenerating the learning plan may further include generating a plan for the total amount of learning, acquiring the amount of overhead to perform the plan, and performing the amount of overhead after performing the entire amount of learning And generating a learning plan for performing the learning.

The step of regenerating the learning plan may include calculating a learning time required to perform the remaining amount of learning using the learning rate.

The step of regenerating the learning plan may include the step of adjusting the learning period based on the calculated learning time and the step of generating a learning plan for performing the remaining amount of learning within the adjusted learning period .

The step of re-generating the learning plan may include calculating a day learning time for performing the remaining learning amount within the remaining time period, and the step of presenting the target learning amount may include: And a step of presenting.

In addition, the step of measuring the actual learning time may include: starting a learning time measurement, switching the mobile device to a lock mode, stopping the learning time measurement when the mobile device is unlocked, And resuming the learning time measurement when the mobile device is again switched to the lock mode.

The step of measuring the actual learning time may include the steps of receiving information on a mobile device of another user performing the learning time measurement and transmitting the learning time information to the other user when the learning time measurement of the mobile device is suspended And providing a push message indicating that the learning is in progress.

The step of generating the learning plan may further include obtaining difficulty information on each part of the total amount of learning, assigning weights to each part of the total amount of learning based on the difficulty information, And generating the learning plan using the entire learning amount.

Other specific details of the invention are included in the detailed description and drawings.

Many middle and high school students are receiving tutoring, and many adults are also students, spending a lot of private tutoring costs on academies and internet sites. Self - directed learning methods that do not rely on private institutes or lecturers have become widely known, but more educational expenses are being incurred as a school that coaches self - directed learning methods is created.

According to the disclosed embodiment, when the user generates the learning plan only once, the subsequent learning plan is automatically adjusted based on the actual learning amount, so that there is no need to waste time to regenerate the learning plan. In addition, when the initial learning plan is created, the learning plan is automatically generated when the learning goal is presented, and the review plan and the plan for the meeting are automatically generated, thereby enabling the self-directed learning method to be continued without the coaching of the other person.

In addition, since study groups can be created and managed by matching users having similar learning goals or learning patterns, learning efficiency can be increased through mutual competition and cooperation.

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

1 is a flow chart illustrating a method for managing a learning plan using a mobile device according to one embodiment.
2 is a diagram showing an example of generating a learning plan by distributing the total amount of learning.
3 is a diagram illustrating an example in which a mobile device measures a user's actual learning time.
4 is a flow diagram illustrating a method for generating a learning plan that includes a review and review plan in accordance with one embodiment.
FIG. 5 is a diagram showing an example of an imaginary obsolete curve showing the survival rate of the post-learning memory.
6 is a diagram showing an example of a method of generating a review plan and distributing a review learning amount.
7 is a diagram illustrating a method of setting a rest day according to an embodiment.
FIG. 8 is a diagram illustrating a method by which a mobile device provides feedback to a user about a learning target performance status according to an embodiment.
FIG. 9 is a diagram illustrating a method of generating a learning plan using an entire learning amount and a learning period according to an embodiment.
10 is a diagram illustrating a method of generating a learning plan using a day's worth of study according to an embodiment.
11 is a diagram illustrating a method of generating a learning plan using an entire amount of learning according to an embodiment.
12 is a diagram illustrating a method of managing a learning plan by creating a study group according to an embodiment.
13 is a diagram illustrating a method of displaying a study group generated according to an embodiment on a mobile device.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention and the manner of achieving them will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. It should be understood, however, that the invention is not limited to the disclosed embodiments, but may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, Is provided to fully convey the scope of the present invention to a technician, and the present invention is only defined by the scope of the claims.

The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. The terms " comprises "and / or" comprising "used in the specification do not exclude the presence or addition of one or more other elements in addition to the stated element. Like reference numerals refer to like elements throughout the specification and "and / or" include each and every combination of one or more of the elements mentioned. Although "first "," second "and the like are used to describe various components, it is needless to say that these components are not limited by these terms. These terms are used only to distinguish one component from another. Therefore, it goes without saying that the first component mentioned below may be the second component within the technical scope of the present invention.

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense that is commonly understood by one of ordinary skill in the art to which this invention belongs. In addition, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a flow chart illustrating a method for managing a learning plan using a mobile device according to one embodiment.

Each of the steps shown in FIG. 1 is a time-series representation of a series of operations performed on a mobile device. However, the order of the operations included in each step shown in FIG. 1 is not limited thereto, and some or all of the operations included in each step shown in FIG. 1 may be performed in the server.

In step S110, the mobile device determines the total amount of learning and the learning period. In one embodiment, the mobile device can determine the total amount of learning and the learning period based on the user's input.

In another embodiment, the mobile device may receive information about a learning objective from a user. The mobile device can determine the total amount of learning and the learning period based on the determined goal. For example, a user's learning objectives may be learning a specific subject or language, or may be trying to take a specific exam or obtain a qualification.

The mobile device can search the curriculum based on the user's learning goals. For example, the mobile device can receive information about the curriculum from the online lecture site and retrieve it.

In one embodiment, the information about the curriculum may be information about a lecture provided at an online lecture site. In addition, the information about the curriculum can be derived from information about the plan created by other users who have learned the same subject.

For example, if a user desires to take a specific test, he or she can create a learning plan using information about the study method, study plan, or curriculum prepared by a successful candidate or a high scorer. Therefore, the mobile device can determine the total amount of learning and the learning period using the learning pattern of the successful candidate.

In another embodiment, the mobile device may present a learning plan of various patterns to achieve a learning objective for a user, and may generate a learning plan according to a user's selection.

In another embodiment, the mobile device may present the user with an overall amount of learning to achieve the learning objective or an existing learning plan, and information about the entire duration to perform the entire amount of learning or the learning plan presented by the user . The mobile device can generate a learning plan capable of performing the entire amount of learning or the learning plan presented within the entire period input from the user.

In one embodiment, the total amount of learning is the amount of learning required to achieve the learning goal, including the number of pages of textbooks to be studied, the number of Internet lectures to be taken, the number of problems to be solved, can do.

In one embodiment, the learning period is a period for performing the entire amount of learning, and may be set in units of days, months, or years. Also, the learning period may include information on different learning times for each day of the week, week, month, or year within a period for performing the entire learning amount. For example, you could set the learning period to one month, to study three hours each Monday, to rest on Saturday, and to five hours on Sunday. In addition, it is possible to set a rest for the third week of one month, which is the entire learning period, or to perform only half the learning time for the other weeks. The method of distributing the learning time by the learning period and each day of the week, week, or month is not limited, and the learning period disclosed in this specification includes a concept including a method of distributing the learning time within the entire period and the entire period Can be understood.

In step S120, the mobile device generates a learning plan for performing the entire amount of learning determined in step S110 within the learning period determined in step S110.

In one embodiment, the mobile device can create a learning plan by evenly distributing the entire amount of training divided into the entire learning period. Also, the mobile device can generate the learning plan according to the learning time allocated to each date by distributing the entire learning amount in units of time.

Referring to FIG. 2, an example in which a mobile device generates a learning plan is shown. 2 is a diagram showing an example of generating a learning plan by distributing the total amount of learning.

Referring to FIG. 2, the entire period for performing the total amount of learning 200 can be divided into n weeks. In one embodiment, the total amount of learning 200 can be divided and allocated to the amount of training to be performed in each week, such as the amount of 1-car training 210, the amount of 2-car training 220,

In one embodiment, the mobile device may allocate the amount of learning assigned to each state by day of week or by date. For example, the mobile device can divide and allocate the first parking learning amount 210 to the first learning amount 211, the second learning amount 212, and the 7th learning amount 217.

In one embodiment, different learning times may be set for each day of the week. In this case, different learning amounts can be assigned for each day of the week. In addition, a day of the week in which learning is not performed can be set. In this case, the amount of learning can be divided and allocated to the remaining days except for the days on which the learning is not performed.

The method of generating the learning plan shown in FIG. 2 is only shown as an example, and the method of generating the learning plan by dividing and allocating the entire amount of learning to the entire learning period is not limited thereto.

In one embodiment, the mobile device may obtain difficulty information for each portion of the total amount of training. The mobile device can weight each part of the total amount of learning based on the obtained degree of difficulty information. The mobile device can generate the learning plan using the weighted total amount of learning.

In step S130, the mobile device can present the target amount of learning based on the learning plan generated in step S120.

In one embodiment, the mobile device may present a target amount of training to be learned during the day. The target learning amount can be displayed on the screen of the mobile device. The target learning amount may be displayed when the learning plan management application is executed, or may be displayed on a lock screen or a background screen in the form of a widget.

In step S140, the mobile device acquires the actual learning amount of the user and measures the actual learning time of the user. The actual learning amount of the user may be obtained automatically or may be obtained based on the user's input.

In one embodiment, the mobile device can automatically acquire the user's learning amount when the user takes a lecture or solves the problem using the Internet site.

In one embodiment, the mobile device can directly input information about the amount of learning, such as the number of lectures taken by the user, the number of pages of the textbooks studied, or the number of problems.

The mobile device can measure the actual learning time of the user. In one embodiment, the mobile device may receive information about the actual learning time from the user.

In one embodiment, the mobile device can measure the actual learning time of the user using the stopwatch function of the mobile device or the learning plan management application.

Referring to FIG. 3, an example in which the mobile device measures the actual learning time of the user is shown. In Fig. 3, the mobile device 300 may start learning time measurement and display the measured learning time on the screen. The mobile device 300 is switched to the lock mode and can display the measured learning time on the lock screen.

In one embodiment, the mobile device 300 may be switched to the lock mode at the start of the learning time measurement.

On the screen of the mobile device 300, a button for starting, pausing, and stopping the learning time measurement by the user may be displayed.

In one embodiment, when the lock mode of the mobile device 300 is released, the learning time measurement may be stopped. Further, the learning time measurement can be resumed when the mobile device 300 is switched back to the lock mode. In another embodiment, the mobile device 300 may be switched to the lock mode when the learning time measurement is resumed.

The " lock mode " herein may refer to any state that prevents the user from using the mobile device 300. The " lock mode " is for preventing the problem that the actual learning time measurement becomes difficult by the user using the mobile device 300 while learning, and can be set in hardware or software.

For example, the mobile device 300 may be set to allow learning time measurement only when the screen of the mobile device 300 is positioned toward the bottom.

In step S150, the mobile device can calculate the learning speed of the user using the actual learning amount obtained in step S140 and the actual learning time measured in step S140. For example, the mobile device can calculate the user's per-minute workload.

In one embodiment, the mobile device may determine a unit of learning amount. For example, the unit of learning amount can be determined by the number of problems, the number of pages, the number of lectures, the number of words, or the number of chapters. The unit of learning amount may be determined based on the user's input or may be determined automatically by the mobile device.

The mobile device can calculate the learning rate of the user based on the determined unit of learning amount. For example, the mobile device can calculate the study amount per minute by dividing the actual learning amount of the user by the actual learning time of the user. For example, the amount of work per minute can be calculated by the number of problems learned per minute, the number of pages, the number of lectures, the number of words, or the number of chapters.

In one embodiment, the mobile device may obtain difficulty information for each portion of the total amount of training. The mobile device can weight each part of the total amount of learning based on the obtained degree of difficulty information. The mobile device can generate the learning speed of the user by using the weighted amount of learning.

In one embodiment, the mobile device may communicate with the server. The server can obtain the learning rate of users for each part of the total amount of learning from a plurality of mobile devices. Users' learning speed and difficulty for each part of total learning amount can be inversely proportional. Thus, the server can generate the difficulty information for each part of the total amount of learning based on the learning speed of the users for each part of the total amount of learning. The mobile device may receive difficulty information for each part of the total amount of training from the server.

In step S160, the mobile device regenerates the learning plan of the remaining period based on the actual learning amount obtained in step S140 and the learning speed calculated in step S150.

For example, the user may not be able to achieve all of the target amount of learning today. In this case, the mobile device can carry over the unearned amount of learning to the remainder of the period and recreate the learning plan. Therefore, according to the disclosed embodiment, even if the user does not achieve the target learning amount of today, the learning plan of the remaining period is not regenerated.

In one embodiment, the mobile device may calculate a residual amount of training that has not yet been achieved in the total amount of training. The mobile device can generate a learning plan for achieving the remaining amount of learning within the remaining remaining period of the entire learning period.

In one embodiment, the mobile device may generate a learning plan using Equation (1).

In Equation (1), P (d) denotes the daily workload of day d. Tn is the planned learning time on day n. A is the total amount of training, and An is the actual amount of training learned on day n. s is the start date of the entire learning period, and e is the end date of the entire learning period. t may refer to the number of days learned so far.

Rd is a correction value for d days, and can be determined based on various parameters. For example, Rd may be used to allocate the amount of training for a review or conversation, or may be used to adjust the amount of training according to the degree of difficulty. In addition, Rd can be used to help achieve the learning goal by preventing the learning schedule from being delayed due to the lack of learning by presenting a little more amount of learning than the actual learning amount according to the learning pattern of the user.

In one embodiment, the mobile device may recreate the learning plan using the learning rate calculated in step S150. The mobile device can calculate the learning time required to perform the remaining amount of learning using the calculated learning rate. The mobile device can adjust the entire learning period based on the calculated learning time.

In one embodiment, when the initially set entire learning period is insufficient to perform the learning time necessary for performing the remaining learning amount, the mobile device may propose to the user to increase the entire learning period or may automatically increase the total amount of learning .

In another embodiment, the mobile device can calculate the learning time to be performed in one day to perform the remaining amount of learning within the entire learning period initially set. If the calculated learning time is longer than the initially set daily learning time or the current user is longer than the time (e.g., average time) that is being learned in one day, the user may be offered to increase the one day learning time.

4 is a flow diagram illustrating a method for generating a learning plan that includes a review and review plan in accordance with one embodiment.

Each of the steps shown in Fig. 4 is a time-series representation of a series of operations performed in the mobile device. However, the order of the operations included in each step shown in Fig. 4 is not limited thereto, and some or all of the operations included in each step shown in Fig. 4 may be performed in the server.

4 is a diagram illustrating an embodiment of a method for managing the learning plan described with reference to FIG. Therefore, even if omitted from FIG. 4, the description of FIG. 1 can be applied to the method of generating the learning plan of FIG.

In step S410, the mobile device may set a learning objective. The mobile device may set the learning objectives using the method described in connection with step S110 of FIG.

In step S420, the mobile device may perform the initial distribution of the total amount of training. The mobile device may perform the initial distribution of the entire amount of learning using the method described in connection with step S120 or step S160 of FIG. 1, but the method of distributing the entire amount of learning is not limited thereto.

In step S430, the mobile device can obtain the actual learning amount and the actual learning time of the user. The mobile device can obtain the actual learning amount and the actual learning time of the user by using the method described in connection with step S140 of FIG.

In step S440, the mobile device may generate a review plan for the portion of the actual learning amount that the user has learned. The mobile device may obtain a review amount of training to perform the review plan.

Referring to FIG. 5, an everting house oblivion curve is shown showing the survival rate of post-learning memory. According to the Eving House oblivion curve, the post-learning memory retention rate can be calculated as shown in Table 1 below.

term Memory retention rate Immediately 100% After 20 minutes 58% After 1 hour 44% After 9 hours 36% After 1 day 33% Two days later 28% After 6 days 25% After 31 days 21%

As described above, after a certain period of time after learning, the memory retention rate sharply drops. Therefore, it is necessary to perform review at regular intervals for efficient learning.

Referring to FIG. 6, an example of a method of generating a review plan and distributing a review amount of training is shown.

In one embodiment, the amount of training performed on a particular day may be set to perform a review after one day, one week, and one month. The amount of the refinement learning to be performed after one day, one week, and one month may be set to be the same, or may be set to gradually decrease. In one embodiment, the amount of review work may be determined through testing. For example, the mobile device may be configured to solve the problem for the review test after one day, one week, and one month, respectively, and to set the review amount to increase as the score is lower.

Referring to FIG. 6, only the first-order learning amount can be performed on the first day without the amount of review lessons, but on the second day to the seventh day, a review on the amount of learning learned on the previous day should be performed. Therefore, the second day to the seventh day can be learned in a smaller amount than the first day, and the remaining time can be used for the review.

On the 8th to 30th day, review of the amount of learning learned before and one week before each should be carried out. Therefore, it is possible to learn less than the 2nd to 7th day on the 8th to 30th day, and use the remaining time for the review.

Likewise, on the 31st day (or the first day of the next month), a review of the amount of learning learned the previous day, one week before, and one month before can be performed.

The method of distributing the learning amount and the review learning amount shown in Fig. 6 is shown for illustrative purposes, and the method of performing learning and reviewing and distributing each learning amount is not limited thereto.

7 is a diagram illustrating a method of setting a rest day according to an embodiment. While performing the learning plan according to Fig. 6, the user can have a rest day due to personal circumstances. In this case, the rest day can be determined according to the user's input.

Referring to FIG. 7, the user can determine the fifth day as a rest day. In this case, the amount of learning for the fifth day and the amount of review training for the fourth day may be carried over to the sixth day. However, the amount of review lessons one week after the first day can be carried out on the eighth day without being carried over. In another embodiment, the amount of review work after one week for the first day may also be carried over to the ninth day for the convenience of calculation and the establishment of a certain learning plan.

In one embodiment, the learning end date may be delayed by one day by determining the 5th day as a rest day. In another embodiment, the learning schedule may be regenerated so that the residual learning amount and the review learning amount are all performed in the remaining period without changing the learning end date even if the fifth day is determined as the rest day.

In step S450, the mobile device may re-create the learning plan by redistributing the entire amount of training. In one embodiment, the mobile device may recreate the training plan by distributing the remaining training amount and the amount of review learned obtained in step S440 to the remaining time period.

In step S460, the mobile device may generate a congestion plan for the total amount of training. Conversation can mean learning again the whole amount of learning from the beginning.

The mobile device can acquire the amount of overhead for performing the congestion plan. In the case of the conversation, learning can be performed with a shorter time and less amount of learning than the initial learning. The mobile device can generate a learning plan for performing the concurrent learning amount after the entire learning amount is performed.

In one embodiment, the learning plan may be generated such that the amount of backwash training is performed in a new learning period after the set overall learning period is over. In another embodiment, a learning plan may be generated such that the amount of interrogation learning is performed within the set overall learning period. In another embodiment, the number of times to read may be determined when generating the initial learning plan. For example, the number of times of conversation can be input from the user, or the mobile device can automatically determine the number of times the conversation is recommended. The mobile device may generate a learning plan such that the initial learning and the determined number of times of conversation are performed within the entire learning period.

In step S470, the mobile device may provide feedback to the user about the learning objective performance status.

Referring to FIG. 8, a method is shown in which a mobile device provides feedback to a user about a learning objective performance status according to one embodiment.

In one embodiment, the mobile device may display feedback on the learning target performance status in the form of a briefing panel on the screen of the mobile device and provide it to the user.

For example, a mobile device may display a weekly performance graph. The weekly achievement graph can display the goal achievement by day using a graph. The mobile device can display the overall achievement rate for the total amount of training.

The mobile device can display today's learning goals. The mobile device can display the achievement or achievement rate of today's learning goals.

The mobile device can display information on the remaining learning period during the entire learning period. If the mobile device determines that the remaining learning period is shorter than the remaining learning amount, the mobile device can suggest that the user extend the entire learning period. For example, the mobile device may display a button that allows the user to extend the entire learning period.

FIG. 9 is a diagram illustrating a method of generating a learning plan using an entire learning amount and a learning period according to an embodiment.

The mobile device can receive a total amount of learning from a user, a learning range, a learning start date, an end date, and a study investment time for each day.

The mobile device can generate the learning plan based on the user's study amount per minute and the study investment time per day. If it is determined that it is difficult to perform the entire learning amount by the end date set by the user as a result of calculation based on the user's study amount per minute and the study investment time per day, the mobile device may propose to increase the learning amount per day or slow the end date.

If there is no information about the learning speed of the user, the user's per-minute study amount may be set based on the average study amount of other users, or may be set based on the user's input. Thereafter, it is possible to regenerate the user's per-minute study amount based on the actual learning amount of the user and the actual learning time of the user, or to update the first per-minute study amount.

10 is a diagram illustrating a method of generating a learning plan using a day's worth of study according to an embodiment.

The mobile device receives a day's study amount or a day's study time from a user, and receives a repetition type by day or date. The mobile device can automatically create a learning plan based on the input information and assist the learning by providing the user with information about the learning plan.

11 is a diagram illustrating a method of generating a learning plan using an entire amount of learning according to an embodiment.

The mobile device can receive information on the target amount per day from the user. The mobile device can generate a learning plan based on the target amount per day. The mobile device can generate information on a time required for the user to study one day by using the minute workload of the user, and can provide the information to the user.

12 is a diagram illustrating a method of managing a learning plan by creating a study group according to an embodiment.

In one embodiment, the server may collect user information and create a study group to perform cooperative learning. The server can create a study group by matching a plurality of users based on learning goals, learning courses, learning time slots, average achievement rate, and concentration of each user. In one embodiment, the server may cluster the user information to create a study group.

The server can share the status of the group members in the study group in real time, generate group statistics and feedback, and establish a gay communication system through competition between groups to induce learning efficiency.

13 is a diagram illustrating a method of displaying a study group generated according to an embodiment on a mobile device.

In one embodiment, the mobile device may display the status of the group members of the study group. For example, whether the group members are studying, the study time, and the achievement rate can be displayed.

In one embodiment, when the user is not studying, the mobile device may instruct the other group member to study by notifying another group member of the study through the push notification if the other group member of the study group is studying.

The steps of a method or algorithm described in connection with the embodiments of the present invention may be embodied directly in hardware, in software modules executed in hardware, or in a combination of both. The software module may be a random access memory (RAM), a read only memory (ROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), a flash memory, a hard disk, a removable disk, a CD- May reside in any form of computer readable recording medium known in the art to which the invention pertains.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, You will understand. Therefore, it should be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

300: mobile device

Claims (10)

A method for a mobile device to provide a learning plan management service for a user,
The mobile device acquiring an entire amount of learning and a learning period;
Generating a learning plan for performing the entire learning amount within the learning period;
Presenting a target learning amount based on the learning plan;
Obtaining an actual learning amount of the user;
Measuring an actual learning time of the user;
Calculating a learning speed of the user from the actual learning amount and the actual learning time; And
Recreating a learning plan of the remaining period based on the actual learning amount and the learning speed; Lt; / RTI >
The step of regenerating the learning plan further comprises:
Calculating a remaining amount of learning not yet performed in the total amount of learning;
Calculating an expected learning time necessary for performing the residual learning amount at the calculated learning rate; And
Adjusting the remaining time period based on the calculated estimated learning time, or adjusting the one day learning time for the remaining time period; Lt; / RTI >
Wherein the step of measuring the actual learning time comprises:
Starting a learning time measurement;
Switching the mobile device to a lock mode;
Stopping the learning time measurement when the lock mode of the mobile device is released; And
Resuming the learning time measurement when the mobile device is switched back to the lock mode; Lt; / RTI >
Stopping the learning time measurement comprises:
Acquiring information on a mobile device of another user performing learning time measurement; And
If the measurement of the learning time of the mobile device of the user is suspended, providing a push message indicating that the other user is learning; / RTI > delete 2. The method of claim 1, wherein regenerating the learning plan further comprises:
Generating a review plan for the actual amount of learning;
Obtaining a review learning amount for performing the review plan; And
Generating a learning plan for performing the remaining learning amount and the review learning amount within a remaining time period; / RTI > 2. The method of claim 1, wherein regenerating the learning plan further comprises:
Generating a plan for the total amount of learning;
Acquiring a bypass amount for performing the reconnection plan; And
Generating a learning plan for performing the detached learning amount after performing the entire learning amount; / RTI > delete delete delete delete delete 2. The method of claim 1, wherein generating the learning plan comprises:
Obtaining difficulty information for each part of the total amount of learning;
Assigning weights to respective portions of the total amount of learning based on the difficulty information; And
Generating the learning plan using the weighted total learning amount; / RTI >

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