KR101844349B1 - Method for providing learning model focusing on field experience using smart device, recording medium and device for performing the method - Google Patents

Abstract

A method for providing a learning model focusing on a field experience using a smart device comprises the following steps of: logging activity data of a learner while the learner performs field experience learning activity by using a smart device; periodically collecting location data of the learner from a background of the smart device; predicting a battery usage amount for performing a mission of each surrounding point-of-interest (POI) based on the location data of the learner; collecting a battery state of the smart device; and providing the mission of the POT capable of being performed according to the battery state of the smart device. Therefore, a suitable learning mission can be provided to the learner according to the battery state of the smart device.

Description

TECHNICAL FIELD [0001] The present invention relates to a method of providing a learning model based on a field experience using a smart device, a recording medium and a device for performing the same,

Field of the Invention [0002] The present invention relates to a method of providing a learning experience centered on a smart device, a recording medium and a device for performing the same, and more particularly, to designing a learner application based on an Android operating system.

2. Description of the Related Art [0002] As content having POI (Point-Of-Interest) information increases in recent years, various applications (e.g., map applications or navigation applications) utilizing the POIs are gradually increasing.

A POI refers to a real world in which a particular person is interested, or a specific location on a map or a drawing. The location-based service collects various local information on the map based on the point of interest (POI) and provides various information targeted by the location-based service.

On the other hand, the development of technology has a great influence on the way of school education and learners' knowledge acquisition. In particular, recent Internet communication technology and rapid dissemination of smart devices are changing the way learners learn and acquire their own knowledge in a form of teaching in which the instructor communicates knowledge to learners. These changes are spreading to various forms of teaching and learning in line with the rapid development of wireless Internet, smart devices, and the cloud, which are based on information and communication infrastructure.

In this regard, Mission-type learning using smart devices, which can actively improve integrated problem-solving abilities and learn creative thinking and high-level problem-solving abilities in the course of performing missions using applications that are linked by learners Services are being provided.

In order to provide such a mission-type learning service, contents produced for service provision are required. This is because rich contents provide learning services that can provide various experiences and stimulate curiosity of learners and maximize learning effect.

However, many field-learning support applications are currently being developed, but smart devices used for on-the-spot learning are limited in terms of power, battery consumption, and location accuracy.

Also, it is very rare that research on the educational effect of the field learning support application systematically is done. On the educational side, it is necessary to analyze whether the applications that support the field learning are effective or when they interact with each other.

In addition, there is a need to develop a framework for efficiently evaluating the effectiveness of learning activities using survey data, interviews, and log data.

KR 10-1117329 B1 KR 10-2016-0132693 A

SUMMARY OF THE INVENTION Accordingly, it is an object of the present invention to provide a method of providing a learning experience-centered learning model using a smart device.

Another object of the present invention is to provide a recording medium on which a computer program for performing a method of providing a learning experience-based learning model using the smart device is recorded.

It is still another object of the present invention to provide an apparatus for performing a method of providing a learning experience-based learning model using the smart device.

A method for providing a field experience-based learning model using a smart device according to an embodiment for realizing the above-described present invention is a method for providing a learner with activity data of a learner during a field experience learning activity using a smart device Logging; Collecting the learner's location data periodically in the background of the smart device; Estimating a battery usage amount for performing a mission of each of the surrounding POIs (Point-Of-Interest) based on the learner's location data; Collecting battery status of the smart device; And providing a mission of an actionable POI according to the battery state of the smart device.

According to an embodiment of the present invention, the providing of the mission of the POI that can be performed according to the battery status of the smart device includes: when the battery remaining amount of the smart device is capable of performing the mission of the POI capable of real- .

In an embodiment of the present invention, the step of providing the mission of the POI that can be performed according to the battery state of the smart device includes: if the battery remaining amount of the smart device can not perform the POI mission capable of learning in real time, The learner can be guided to perform the mission of the POI having the time to charge or the battery consumption is low.

In the embodiment of the present invention, the step of collecting the learner's location data may use a GPS provider of the smart device or a beacon installed in each POI.

In an embodiment of the present invention, the method of providing a field experience-based learning model utilizing the smart device may further include transmitting activity data of the learner to a server.

In the embodiment of the present invention, a method of providing a field experience-based learning model using the smart device may include a step of, when a teacher requests, a total field experience learning time of a learner, a total data usage amount, And processing and providing the battery usage and the data usage of each POI having the POI.

In the embodiment of the present invention, the method of providing a field experience-based learning model using the smart device may further include a step of correcting a mission of each point-of-interest (POI) .

In an embodiment of the present invention, the method of providing a field experience-based learning model using the smart device may further include a step of examining a posterior evaluation and satisfaction of a learner through the smart device.

According to another aspect of the present invention, there is provided a computer-readable storage medium storing a computer program for performing a method for providing a learning experience centered on a field experience using a smart device.

According to another aspect of the present invention, there is provided an apparatus for providing a field experience-based learning model using a smart device. The device includes a learner who performs a field experience learning activity using the smart device, A logging unit for logging data and transmitting the data to a server; A position data collecting unit that periodically collects position data of the learner in the background of the smart device; A battery usage predicting unit for predicting a battery use amount for performing a mission of each POI (Point-Of-Interest) around the learner based on the learner's location data; A battery condition collector for collecting battery status of the smart device; When the battery remaining amount of the smart device can perform the mission of the POI capable of real-time learning, and when the battery remaining amount of the smart device can not perform the POI mission capable of learning in real time, A mission-providing unit for instructing the learner to perform a mission of the POI having a time that can be performed or a battery usage is low; And a post-management section for examining post-evaluation and satisfaction of the learner through the smart device.

According to the method of providing the learning experience based on the experience using the smart device, it is possible to solve the problems caused by the limitation of the battery capacity by providing the POI mission according to the battery consumption of the smart device used in the field experience learning . In addition, learning activities can be efficiently evaluated using log data of learners, and they can be used as data of future teaching and learning design.

FIG. 1 is a flowchart of a method for providing a field experience-based learning model using a smart device according to an embodiment of the present invention.
Figure 2 is an illustration of the UI provided to a smart device.
3 is an exemplary diagram illustrating a mission offering provided to a smart device in accordance with the present invention.
4 is an exemplary diagram showing a course guide provided to a smart device according to the present invention.
5 is an exemplary diagram showing learner's logging data provided to a smart device according to the present invention.
6 is an exemplary diagram showing learner's location data provided to a smart device according to the present invention.
7 is an exemplary view showing battery usage and data usage of each POI provided to a smart device according to the present invention.
FIG. 8 is a block diagram of an apparatus for providing a field experience-based learning model using a smart device according to an embodiment of the present invention.

The following detailed description of the invention refers to the accompanying drawings, which illustrate, by way of illustration, specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It should be understood that the various embodiments of the present invention are different, but need not be mutually exclusive. For example, certain features, structures, and characteristics described herein may be implemented in other embodiments without departing from the spirit and scope of the invention in connection with an embodiment. It is also to be understood that the position or arrangement of the individual components within each disclosed embodiment may be varied without departing from the spirit and scope of the invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is to be limited only by the appended claims, along with the full scope of equivalents to which such claims are entitled, if properly explained. In the drawings, like reference numerals refer to the same or similar functions throughout the several views.

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

FIG. 1 is a flowchart of a method for providing a field experience-based learning model using a smart device according to an embodiment of the present invention.

A method for providing a learning experience-centered learning model utilizing a smart device according to the present invention designs a learner application based on an Android operating system. In order to collect data of learners, there is a learner registration function and a login function, and when the learner logs in the application, it operates in the background of the smart device through the Android service function.

In addition to collecting activity data through the learner's application, the learner will be able to investigate the post evaluation and satisfaction after the completion of the field experiential learning.

Meanwhile, a method of providing a learning experience-based learning model using the smart device according to the present embodiment can be executed through an application in a smart device.

The smart device of the present invention is a device capable of wireless communication and is a device capable of wireless communication such as a smart phone, a mobile phone, a tablet computer, a notebook, a netbook, a PDA, a PMP, a PSP, an MP3 player, e-book reader, navigation, smart camera, electronic dictionary, electronic clock, game machine, and the like.

The smart device can execute various application programs based on an operating system (OS). The operating system is a system program for allowing an application program to use the hardware of the smart device. It is based on the Android OS, but may be a mobile computer such as iOS, Windows Mobile OS, SeaOS, Symbian OS, It can include all operating systems.

The application program is a program developed to perform a specific task using the smart device. The application program is a program that not only stores various applications and service objects but also various multimedia contents such as games, movies, pictures, A viewer, a video player, and the like.

The smart device is a display device supporting wireless communication, and can display media data through a display unit or provide a user interface (UI) to a user.

The display unit may include a liquid crystal display (LCD) panel, a plasma display panel (PDP), an organic light-emitting diode (OLED) display panel, and the like.

In addition, a touch screen function may be included in the display unit or may be provided as a separate touch pad device for processing user input. Alternatively, the smart device may include an input unit (not shown) such as a keypad formed separately from the display unit and receiving a user's input.

Referring to FIG. 1, when a learner logs in an application using a smart device, the learner confirms whether the learner is registered (step S11).

The site can be a cultural heritage site, a museum, a World Heritage site, etc. There are several learners, each possessing their own smart device. The smart device of the learner may have an application related to the present invention installed.

If the learner is registered, the user goes to the login screen and logs in the application (step S13). If the learner is not registered, the user can move to the registration screen and induce registration (step S12).

In addition, a notification window may be displayed in the status bar through a notification service while the application is running and the learner's activity data is being logged. Referring to FIG. 2, the login screen, the registration screen, and the execution notification window provided to the smart device of the learner are sequentially displayed in order from the right.

The application proposed by the present invention can be used to distinguish between a teacher and a student for signing in as a member. In the case of students, it is possible to configure the main screen to be displayed in map form because it is the main activity to perform inquiry activities using smart devices at the actual field experiential learning stage rather than the pre-stage authoring activities.

In another embodiment, the inquiry activity can be confirmed in a list form, and the color of the icon can be changed depending on whether or not the inquiry activity location and the problem confirmation and the inquiry activity are all performed. In addition, in case of OX quiz or optional problem, it is possible to automatically check the correct answer.

Teachers manage the on-site experiential learning throughout the pre-site-after-the-whole stage, so they can be configured to make the system easier to use on the web because they spend more time on the web than smart devices. While authoring an inquiry activity, it can be authored from the beginning, but it is also possible to modify / edit the inquiry activity authored by another person.

In addition, when inquiry activities are given to students, they can be configured to select the students, and it is possible to provide a function to confirm the location and progress of the students during on-site learning. You can also provide the ability to review and score your answers.

And the activity data of the learner is logged while the learner performs the field experiential learning activity using the smart device (step S14). Logged data can be stored in DB of smart device or transferred to external server.

For example, timestamp (date, time), GPS (latitude value), azimuth value, and device rotation angle are recorded at predetermined time intervals, and learner ID record, grade data such as grade, It is possible to collect details based on the class classification, timestamp for each event, event type, learning activity unit, and activity type (drawing result or UI operation contents) to the server.

The activity data may collect information of a learner's location, data usage, battery usage, and application used by a learner through an application. Examples of activity data collected are shown in Table 1 below.

time Event timestamp (date, time) location GPS (latitude, longitude) contents mission User model User ID (completed learning module)
Data is not automatically logged but is automatically generated: number of times the problem is attempted, time taken User action Learner response

There are three ways to gather data from smart devices. There is a method to measure data in real time and send it to the server. 2) A method of storing data at a certain time interval in a smart device and transmitting it to a server. 3) Finally, There is a method to transfer to the server after the experiential learning is finished.

These methods have different advantages and disadvantages. First, when data is transmitted to the server in real time, battery usage and data usage can be accurately measured in real time during on-site experiential learning. Data usage and battery consumption It is advantageous in that it can grasp. However, since data is transmitted to the server in real time, battery consumption is increased.

When data is transmitted to the server at a predetermined time interval or transmitted to the server all at once after the on-site experiential learning, it is possible to save the battery consumption to be stored in the server, but the battery consumption amount can not be determined by the place, There is a great difficulty in understanding the usage. In addition, there is a disadvantage in that the battery consumption is measured even when the battery is not stored (resting time, etc.).

In the embodiment of the present invention, the activity data may be periodically logged in the background of the smart device and transmitted to the server. Alternatively, however, it is possible to log and / or transmit in real time or to log and / or transmit after application termination.

The activity data collected includes the learner's location data. For example, you can use a GPS provider built into the smart device to collect learner's location data.

In another embodiment, a beacon may be used as an auxiliary means in order to supplement the disadvantage that GPS can not be used when experiential learning is performed indoors. By using beacons, it is possible to analyze activity data of learners such as data usage amount and battery usage per POI (Point-of-Interest) even in an outdoor experiential learning place.

On the other hand, as the on-site experiential learning progresses, it is necessary to use the data to connect to the Internet in order to obtain the necessary information or to download the learning program. In LTE region, since wireless communication is not convenient yet, it is necessary to provide free WiFi service area information and LTE and 3G service quality information for each region, collect estimated data amount due to each POI and media playback, So that they can assist in planning.

For example, using the ACTION provided by Android-based smart devices, it searches for the Wi-Fi signal with the highest RSSI signal and implements the smart device's wireless communication status as a priority for the Wi-Fi connection. It can be implemented so that it is automatically connected to 3G or LTE data.

The learner confirms the mission of the field experiential learning activity through the smart device (step S15) and confirms whether there is a POI (Point-Of-Interest) mission to be performed (step S16). A POI refers to a real world in which a particular person is interested, or a specific location on a map or a drawing.

For example, when the field experience site is Changdeok Palace, the POI can be set as the POI, such as Donghwamun, Geumcheonggyo, Baekjeonjeon, Jeonjangjeon, A house, a house, etc. may be set as a POI. The POI of the field experience can be changed, added or deleted according to the teacher's education program.

3 and 4, a learner can receive a mission according to the status of the smart device through an application, and can confirm a course for performing a mission. Location information for each mission and expected battery consumption can be provided together.

If there is a mission to be performed, the battery status of the current smart device of the learner is collected through the application (step S17). The learner has to use the smart device during the on-the-spot activities, which has a big restriction on battery usage. Accordingly, the mission of the POI is provided based on the battery state of the smart device.

Thus, the predicted battery usage of each POI is analyzed and the battery state of the current device of the learner is measured. The POI-specific battery usage may be predicted based on the results of the experiential learning that has already been performed, and may store information on the battery usage used to perform each POI-specific mission. In addition, information on the battery usage used to perform the mission for each POI can be updated through the logged information after completion of the experiential learning.

If the POI-specific missions capable of real-time learning can be sufficiently performed, a course or a moving line is determined and provided to the learner (step S19). The mission can be provided through location based augmented reality content.

If not, the learner is instructed to have a time to charge the battery or to perform the POI-specific missions with a low battery usage, thereby instructing the learner to learn according to the level of the learner (step S18). If battery charging is required, the learner can be guided to a place where charging is possible.

The learner performs the mission according to the course guided by the smart device (step S20), and if the mission to be performed is completed, the learner logs out and terminates the experiential learning (step S21).

In this case, the post evaluation and satisfaction of learners can be investigated through Smart Device. After the on-site experiential learning is completed, post-evaluation and satisfaction of the learner can be sent to the server so that it can be reflected in future components and design.

The data collected during the on-site experiential learning are collected by the point-of-interest (POI), learning (learning) by the instructor who conducts experiential learning using mathematical (statistical) (Such as video playback or web search) that provides information on the battery life of the battery.

For example, using an ACTION such as 'ACTION_BATTERY_CHANGED' or 'ACTION_BATTERY_LOW' to check the status of a battery in an Android-based smart device, it is necessary to charge the battery when the capacity of the smart device battery of the learner becomes less than a certain capacity And a notification message is displayed in the application of the user and the leader after it is determined. This solves many problems, such as powering off the smart device during learning activities due to battery capacity constraints.

It also stores data collected through the learner's smart device, and transmits data according to the learner's activity (movement path, etc.) to the server. The server can process this data so that the teacher can check activity data by learner, group of learners, beacon POI by web page or smart device.

Teachers can register and log in teachers through web pages or smart devices, and can view logged on learner 's on - site experiential learning activity data through web page or smart device.

On web pages or smart devices, you can see the data collected during learner-specific field trips. For example, data can be processed and displayed on the server, including learner's total learning time, total data usage, battery usage, used application information, battery usage per POI with beacons, and data usage.

Referring to FIG. 5, the teacher can check the activity information logged during the learner's field experience learning on the learner logging data analysis page. This allows you to see at a glance the learner's total time spent, total device battery usage, and total data usage on the device. In addition, the user can check the entire logging data of the learner stored in the database, and analyze the data through the graph.

Referring to FIG. 6, location data logged in a learner's application can be confirmed on a map. The path that the learner traveled is displayed. Clicking the marker allows you to see the logged data at each location. The information displayed when the marker is clicked can display the application information, the battery status and the time used by the learner at the location.

Referring to FIG. 7, the teacher makes it possible to analyze at which POI the data consumption and the battery consumption are the most consumed. Provide learner data to teachers so that they can be used as materials for future teaching and learning design and post evaluation.

This allows the teacher to analyze which POIs are consuming the most data and battery. Also, by providing the learner 's data to the teacher, it can be used as data of future teaching - learning design and post evaluation.

Teachers can also check activity data of learners. After analyzing the learner group with high satisfaction and post evaluation, it is possible to know how the activity was performed, what application was used to perform the mission, and the total time spent. Based on the results of this analysis, the teacher can improve the problem in designing the pre - field experiential learning and redesign the learning model with high evaluation result.

Once the learning model has been redesigned, the missions of each POI (Point-Of-Interest) can be modified to reflect this.

In the present invention, mobile technology supports outdoor research in four major aspects: location, data collection and storage, learning and progress of data collection methods, monitoring of teacher's student activities and feedback.

First, mobile technology was used to identify the location of the research subject. The most common problem faced by students as they investigate changes in the function of a house by group or by team is to locate the subject (or themselves) of the subject. Through the Collector app, students can identify the location of the survey by identifying the street name addresses included in the electronic map.

Mobile technology also supports the collection, storage and management of student data. Applications can be easily displayed or instantly recorded to shorten work time, easily edit the collected data, and save on-site data as soon as it is stored on the server, reducing the risk of data loss. In addition, various types of data (eg, photographs, movies, sounds, maps, graphs, etc.) are collected, resulting in a variety of results, and automatic data integration / integration has also been an advantage.

Through networked mobile technology, students can learn how to collect data and coordinate their progress. In particular, being able to look at what other groups of friends are working on can be a real help as well as a stimulus.

In addition, the fact that students can monitor the data collection process remotely in real time is also meaningful to teachers (teachers). The teacher monitors the data collection situation and, if a small group is found that is slower than the time presented, will be able to identify problems or suggest strategies to the students by phone or text.

Such a method of providing a field experience-based learning model utilizing a smart device can be implemented in an application or in the form of program instructions that can be executed through various computer components and recorded on a computer-readable recording medium. The computer-readable recording medium may include program commands, data files, data structures, and the like, alone or in combination.

The program instructions recorded on the computer-readable recording medium may be ones that are specially designed and configured for the present invention and are known and available to those skilled in the art of computer software.

Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like.

Examples of program instructions include machine language code such as those generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules for performing the processing according to the present invention, and vice versa.

FIG. 8 is a block diagram of an apparatus for providing a field experience-based learning model using a smart device according to an embodiment of the present invention.

Referring to FIG. 8, a device 100 for providing a field experience-based learning model using a smart device according to the present invention includes a logging unit 700, a position data collecting unit 100, a battery usage predicting unit 200 A battery condition collecting unit 300, a mission providing unit 500, and a post-managing unit 900. [

The apparatus 10 of the present invention can be installed and executed with software (application) for providing a learning experience-based learning model utilizing a smart device. The logging unit 700, the position data collecting unit 100, The configuration of the battery usage predicting unit 200, the battery condition collecting unit 300, the mission providing unit 500 and the post-managing unit 900 may be implemented by using the smart device And can be controlled by software for providing a learning experience-based learning model.

The device 10 may be a separate terminal or a module of a smart device. The location data collecting unit 100, the battery usage predicting unit 200, the battery condition collecting unit 300, the mission providing unit 500, and the post-managing unit 900 may be provided in the logging unit 700, May be formed of an integrated module, or may be composed of one or more modules. However, conversely, each configuration may be a separate module.

The device 10 may be mobile or fixed to a smart device. The device 10 may be any device capable of communicating with other terms such as a device, an apparatus, a terminal, a user equipment (UE), a mobile station (MS), a wireless device, a handheld device, Lt; / RTI >

The logging unit 700 logs the activity data of the learner and transmits it to the server while the learner performs the field experience learning activity using the smart device. The activity data may collect information of a learner's location, data usage, battery usage, and application used by a learner through an application.

For example, timestamp (date, time), GPS (latitude value), azimuth value, and device rotation angle are recorded at predetermined time intervals, and learner ID record, grade data such as grade, It is possible to collect details based on the class classification, timestamp for each event, event type, learning activity unit, and activity type (drawing result or UI operation contents) to the server.

In the embodiment of the present invention, the activity data may be periodically logged in the background of the smart device and transmitted to the server. Alternatively, however, it is possible to log and / or transmit in real time or to log and / or transmit after application termination.

The position data collecting unit 100 periodically collects position data of the learner in the background of the smart device. For example, you can use a GPS provider built into the smart device to collect learner location data, or use a beacon for point-of-interest (POI).

The learner verifies that there is a point-of-interest (POI) mission to perform during field trip activities through Smart Device. A POI refers to a real world in which a particular person is interested, or a specific location on a map or a drawing.

The learner has to use the smart device during the on-the-spot activities, which has a big restriction on battery usage. Accordingly, the mission of the POI is provided based on the battery state of the smart device. Thus, the predicted battery usage of each POI is analyzed and the battery state of the current device of the learner is measured.

The battery usage predicting unit 200 predicts a battery usage amount for performing missions of nearby POIs based on the learner's location data. The POI-specific battery usage may be predicted based on the results of the experiential learning that has already been performed, and may store information on the battery usage used to perform each POI-specific mission. In addition, information on the battery usage used to perform the mission for each POI can be updated through the logged information after completion of the experiential learning.

The battery condition collecting unit 300 collects the battery status of the smart device. The battery status of the learner's current smart device can be collected through the application.

The mission provider 500 guides the course when the battery remaining amount of the smart device can perform the mission of the POI that can learn in real time. The mission can be provided through location based augmented reality content.

On the other hand, if the battery remaining amount of the smart device can not perform a POI mission capable of real-time learning, the learner is guided to perform a mission of POI having a time to charge the battery or a low battery usage. If battery charging is required, the learner can be guided to a place where charging is possible.

The post-management unit 900 examines the learner's post evaluation and satisfaction through the smart device. The post-management unit 900 may transmit the post-evaluation and satisfaction of the learners created after the field experiential learning is completed to the server so that the post-evaluation and the satisfaction of the learner can be reflected in the later components and design.

The data collected during the on-site experiential learning are collected by the point-of-interest (POI), learning (learning) by the instructor who conducts experiential learning using mathematical (statistical) (Such as video playback or web search) that provides information on the battery life of the battery.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the present invention as defined by the following claims. You will understand.

It is expected that the present invention will be utilized in the development of a mobile - based on - site teaching - learning model by laying the foundation for utilizing IT technology to support learner 's knowledge formation in on - site experiential learning. It is also expected to contribute to the development of IT infrastructure technology model by systematically and scientifically analyzing mobile based field learning.

10: Device that provides learning-centered learning model using smart device
100: Position data collecting unit
200: battery usage predicting unit
300: Battery condition collector
500: Mission Offering
700: Logging unit
900: After-care department

Claims (10)

Logging the activity data of the learner during a field experience learning activity using the smart device;
Collecting the learner's location data periodically in the background of the smart device;
Predicting a battery usage amount for performing a mission of each POI (Point-Of-Interest) around the learner based on the location data of the learner by the learning model providing device;
Collecting battery status of the smart device by the learning model providing device; And
Providing a mission of the POI that can be performed according to the battery state of the smart device by the learning model providing device,
The step of predicting a battery use amount for performing a mission of a nearby POI (Point-Of-Interest) based on the learner's location data includes:
Estimating a battery usage amount for each POI based on a result of the experiential learning that has already been performed, and storing information on the battery usage amount in performing the mission for each POI,
Wherein providing the mission of the executable POI comprises:
When the remaining capacity of the battery of the smart device can perform the mission of the POI that can learn in real time,
If the battery remaining amount of the smart device can not perform the mission of the POI capable of learning in real time, informing the learner to perform the mission of the POI having the time to charge the battery or the battery usage is low A method of providing a learning model focused on the field experience using smart devices.
delete delete The method according to claim 1, wherein the collecting of the learner's location data comprises:
A method of providing a field experience-based learning model using a smart device using a GPS provider of the smart device or a beacon installed in each POI.
The method according to claim 1,
And transmitting the activity data of the learner to the server by the learning model providing device.
The method according to claim 1,
The learning model providing apparatus processes and provides the total field experience learning time, the total data usage amount, the battery usage amount, the used application information, the battery usage amount and the data usage amount of each POI having a beacon, Wherein the method further comprises the steps of:
The method according to claim 1,
Providing a learning-centered learning model using the smart device, further comprising the step of correcting the mission of each POI (Point-Of-Interest) by reflecting the design of the field experience learning by the teacher by the learning model providing device Way.
The method according to claim 1,
Further comprising the step of, by the learning model providing device, examining a learner's post evaluation and satisfaction with the smart device through the smart device.
A computer-readable recording medium on which a computer-readable recording medium for performing a method of providing a field-based experience-based learning model utilizing the smart device according to any one of claims 1 to 8 is provided.
A device for providing a learning experience-oriented learning model utilizing a smart device,
A logging unit for logging activity data of the learner during a field experience learning activity using the smart device and transmitting the activity data to a server;
A position data collecting unit that periodically collects position data of the learner in the background of the smart device;
A battery usage predicting unit for predicting a battery use amount for performing a mission of each POI (Point-Of-Interest) around the learner based on the learner's location data;
A battery condition collector for collecting battery status of the smart device;
When the battery remaining amount of the smart device can perform the mission of the POI capable of real-time learning, and when the battery remaining amount of the smart device can not perform the POI mission capable of learning in real time, A mission-providing unit for instructing the learner to perform a mission of the POI having a time that can be performed or a battery usage is low; And
And a post-management unit for examining post-evaluation and satisfaction of the learner through the smart device,
Wherein the battery usage predicting unit includes a step of predicting a battery usage amount by POI based on a result of the experiential learning that has been performed and storing information on a battery usage amount in performing a mission for each POI, Centered learning model providing device.

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