WO2021040411A1 - Procédé de recommandation d'une formation d'études à l'étranger permettant une admission à une université à l'étranger - Google Patents

Procédé de recommandation d'une formation d'études à l'étranger permettant une admission à une université à l'étranger Download PDF

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WO2021040411A1
WO2021040411A1 PCT/KR2020/011422 KR2020011422W WO2021040411A1 WO 2021040411 A1 WO2021040411 A1 WO 2021040411A1 KR 2020011422 W KR2020011422 W KR 2020011422W WO 2021040411 A1 WO2021040411 A1 WO 2021040411A1
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information
school
university
data
value
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Korean (ko)
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박보미
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박보미
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education

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  • the present invention relates to a technology for selecting and recommending schools for early study abroad through student data, and specifically, data on advancement to overseas universities of existing early international students, and current grades and language ability of prospective international students. , Personalities, dispositions, hobbies, in particular, etc., by using the results of analyzing data, the technology that provides information by selecting the most efficient and suitable high school for obtaining the results required for college or major entrance exams for prospective international students. will be.
  • the pattern of studying abroad in the early years mainly consisted of the pattern of entering an overseas university by conducting an exchange student or university entrance course abroad based on the academic achievements in Korea, or going from a domestic university to an overseas graduate school, etc.
  • Korean Patent Registration No. 10-1103334, etc. provide a technology for recommending schools for studying abroad based on personal information, but this has no algorithm for accurate school recommendation, and there is a problem in its reliability. Practically, there is a problem in that prospective international students cannot provide information on the most suitable and efficient basic school in order to enter the desired university.
  • the present invention is designed to solve the above problems, and predicts the entrance score of prospective international students at the time of entering university based on the desired university of prospective students and their current academic and personal information in Korea, and predicts such predicted admissions.
  • the primary purpose is to provide a technique for recommending the most suitable high school/junior high school for advancement to the university and major that prospective international students wish to attend, taking into account the grades and the college entrance grades that prospective international students wish to attend. .
  • the present invention is based on the desired university of prospective students and their current academic and personal information in Korea, among the schools that can be admitted to, the information on the details of previous international students and graduates of the corresponding school, and the entrance examination guidelines of the desired university.
  • the information comprehensively, it not only provides the technology that recommends the most suitable high school/junior high school, etc. for advancement to the university and major that prospective students wish to enroll in, but also requires that prospective international students complete after entering high school/junior high school.
  • the second purpose is to provide information on the curriculum including credits and external activities.
  • the method for recommending a study abroad course for going to an overseas university relates to a method for recommending a study abroad course for going to an overseas university.
  • condition information receiving step of receiving condition information which is information for searching for a target school, as information input from a prospective international student account; further comprising, the step of providing study abroad information, As information stored in the prospective international student's account, the possibility of at least advancing to the desired university or major by comparing the information on the entrance score corresponding to the information of the desired university or major that the prospective student wishes to enroll in with the second data.
  • a step of calculating a possibility of enrollment calculating a value of possibility of enrollment to determine whether or not there is an area predicted to be insufficient in scores necessary for advancing to school;
  • the condition information received by the condition information receiving step the attribute information of the target school stored in the database, the college entrance information of the graduates of the target school, the academic ability information of the graduates of the target school, and the information stored in the prospective international student account.
  • Preliminary international student data is used as the input value, and the suitability value of the target school is used as the result value, but the value of the possibility of enrollment is calculated as a variable value.
  • condition information include at least one of information on the local environment of the target school, religion, admission time, grade, number of students, tuition, race ratio, and residence and commuting type information when entering the target school. Do.
  • the above-described university entrance grade derivation function includes, as an input value, the entrance grade information obtained at the time of entering university of students having a similarity value equal to or greater than a preset threshold value in the database by comparing with information stored in the preliminary international student account. It is desirable to derive the results.
  • the value of the possibility of entering into a university is calculated by comparing it with the information of the desired university or major that requires the highest admissions information. It is desirable.
  • the above-described information on the academic ability of the graduates of the target school is at least the country of origin of the graduate, the domestic school, the grades at the domestic school, language ability, hobbies, specialties, courses taken at the school the graduates are going to attend, participating clubs, and competitions. It is desirable to include one or more of the awards.
  • the above-described recommended school derivation function is the highest in the similarity value of the current grades, language ability, desired university and major information of prospective international students, university entrance information of graduates of the target school, and academic ability information of graduates of the target school. It is desirable to set weights.
  • the above-described attribute information of the target school is calculated for entering university according to at least the student-to-teacher ratio information, the university entrance rate information, the average score information of the students' college entrance exams, and the history of hobbies and specialty activities in the school. It is preferable to include at least one of average score information for activity score, neighboring academy information, honors class information, credit recognition class (AP class) information, hobbies activity information, and constitution race information.
  • the above-described recommended school derivation function includes information on requirements for admission to a desired university, information on average scores of at least students' college entrance exams, and history of hobbies and specialty activities in the school.
  • the average score information for the activity score calculated for entering university is compared according to the information on the activity score, the information on the neighboring academy, the information on the Honors class, and the information on the credit recognition class (AP class). It is desirable to calculate a specification-satisfying value that can determine whether the required specification information for admission can be satisfied when entering the target school, and use it as a variable value in the fitness numerical calculation.
  • the above-described school recommendation step is, when providing information on the recommended school to the prospective international student account, information on academic activities, hobbies, and other academy activities to be performed after entering the recommended school in order to satisfy the specifications that can be satisfied. It is desirable to provide together with recommended activity information.
  • information on condition information entered by a prospective student account and information on the academic ability of prospective international students in Korea, specifications and curriculum of the target school, details of the college entrance of the target school, and the target school In consideration of the academic abilities of graduates who entered the university after entering the university, we recommend the target school that will allow prospective international students to complete the optimal course in order to enter the university they wish to enter.
  • 1 and 2 are flow charts of a method of recommending a study abroad course for entering an overseas university according to an embodiment of the present invention.
  • FIG. 3 is an example of an output screen of a user terminal as a result of implementing an embodiment of the present invention.
  • 4 to 8 are diagrams for explaining a data structure and data processing flow for implementation of an embodiment of the present invention.
  • FIG. 9 is an example of a screen output to a user terminal as a result of implementing an embodiment of the present invention.
  • FIGS. 10 and 11 are block diagrams of a device for recommending a study abroad course for entering an overseas university according to an embodiment of the present invention.
  • FIG. 12 is an example of an internal configuration of a computing device according to an embodiment of the present invention.
  • first and second may be used to describe various elements, but the elements are not limited by the terms. The above terms are used only for the purpose of distinguishing one component from another component. For example, without departing from the scope of the present invention, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element.
  • the term and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.
  • FIGS. 1 and 2 are flowcharts of a method for recommending a study abroad course for entering an overseas university according to an embodiment of the present invention
  • FIG. 3 is an example of a screen displayed on a user terminal as a result of implementing an embodiment of the present invention
  • FIGS. 8 is a diagram for explaining a data structure and a flow of data processing for implementation of an embodiment of the present invention
  • FIG. 9 is an example of a screen output to a user terminal as a result of implementation of an embodiment of the present invention
  • FIGS. 10 and 11 are A block diagram of a device for recommending a study abroad course for entering an overseas university according to an embodiment of the present invention.
  • the computing device of the present invention refers to a user terminal or a server terminal connected to the user terminal through a wired or wireless network, and the computing device includes data processed in each embodiment of the present invention, functions for processing data, algorithms, computing codes, etc.
  • the stored database may be separately provided, or the database may be implemented in a memory of the computing device.
  • the user terminal When the computing device is a server terminal connected to the user terminal, the user terminal requests processing and return of data from the computing device, outputs data received from the computing device, and inputs various data input from the user terminal to the user terminal.
  • the computer-readable recording medium referred to in the present invention means an offline and online storage medium in which data and programs for performing the functions of the present invention, such as a memory and a cloud storage medium provided in a user terminal or a computing device, are stored. . A detailed description of this is referred to in the description of FIG. 10.
  • a study abroad course for university entrance abroad implemented by a computing device including at least one processor and at least one memory storing instructions executable by the processor.
  • a first data receiving step (S10) of receiving first data including at least current grades, language ability, and school name or region information of a prospective international student from an account of a prospective student who has subscribed to study abroad at an overseas school (S10) ) Is performed.
  • the prospective student account is the account of the prospective international student who has been registered for enrollment in overseas school or studying abroad as described above, or the account that a legal representative such as the parents of the student has subscribed instead according to the age of the prospective international student. It can mean.
  • a prospective international student means a student who has not entered university, and is a user who is in the status of entering an overseas school corresponding to elementary, secondary, and high school in Korea in order to enter a university.
  • the preliminary international student account may store at least one or more information inputted through the user terminal possessed by the prospective international student, in which ID, password, basic personal information of the prospective international student, and the like may be stored.
  • the first data includes at least the current grade, language ability, and school name or region information of the prospective international student, and specifically, the country of origin of the prospective international student, School name and region in Korea, academic level of the school in Korea, gender, current report, official language proficiency score, language ability outside the exam, the type and level of a second foreign language, IQ, leadership, adaptability, class attitude, sincerity and concentration Etc. may be included comprehensively.
  • the first data includes these items, items that are difficult to quantify (for example, sincerity, class attitude, etc.) are scored by referring to on-campus/out-of-school activities and supporting data, awards, or other history items. It could also be converted by replacing it with.
  • condition information which is information for searching for a target school as information input from a prospective international student account, may be further included.
  • the target school for admission is a school in which an international student can leave the country as an international student using the service provided in the present invention and go on to complete an academic course.
  • a school other than a university, and a domestic elementary school It refers to a school abroad corresponding to secondary and high school.
  • condition information means a kind of filtering information that can be input by prospective international students or their parents in order to filter the schools to be enrolled.
  • the condition information received in step S10 may include at least one of information on the local environment of the target school, religion, admission time, grade, number of students, tuition, race ratio, and residence and attendance type information when entering the target school. It is preferable to include.
  • the computing device of the present invention may output information useful for inputting condition information by an output means of the user terminal through the above-described interface, before performing step S10. .
  • prospective international students or their parents can receive specific guidance on the overseas learning process, so that helpful information can be output when entering condition information.
  • school-related terms advanced placement (AP), Honors Program, English as a second language (ESL), English as a second language (ESL)), audit, college, community college, and scholastic aptitude test (SAT))
  • Homestay-related terms e.g., town house, condo, apartment, and single house
  • activity-related terms e.g., camp, volunteer, and academy
  • the regional environment information may include information on the climate such as country, state, city, etc. as specific information on the region, security information as the stability of the region, and weather in the region.
  • the religion information may include information on a religion set at a target school or major religions of students who have entered the school.
  • the grade is included in the curriculum of an overseas school corresponding to a domestic school, and may be information that can be used to check whether or not a range of grades is covered by the school.
  • the number of students is the number of students based on the school's class, grade, etc., and tuition is required for completing the school's learning process or tuition fees, living expenses, commuting expenses, etc. when selecting each course, etc.
  • Race ratio refers to the ratio of each race to each grade level or to the whole.
  • Residence type includes dormitory ownership, dormitory type (multi-room single room, dormitory location, living facilities, etc.), homestay information, and other accommodation information.
  • the type of commuting may include information on whether to go to/from school on foot or by vehicle, information on school bus operation, and information on other pickup services available.
  • condition information may be classified into information that is an essential input object and information that is selectively useful for filtering.
  • a region, an admission time, and a grade may be, for example, a condition (or a prerequisite) that must be input.
  • the essential condition may be a condition for generating meaningful information.
  • the tuition fee, teacher ratio, race ratio, college entrance examination score, regional stability, and preferred weather may be conditions (or selection conditions) to be selectively input.
  • the selection condition may be a condition for generating more meaningful information.
  • the information for filtering information about the homestay may include the location, date, number of people, presence of pets, cost, race, religion, smoking, family members, number of people in the room, desk location, or equipment. It can contain information about one.
  • the area, date, and number of people may be conditions that must be entered, for example.
  • the cost, race, religion, smoking, family members, number of people staying in the room, desk location, and items to be equipped may be conditions that must be selectively input.
  • information on an activity capable of acquiring an Activity score may be included as a score that can prove a hobby that a student must meet in order to enter a university when entering a corresponding school.
  • the information for filtering the information on the activity may include information on any one of a region, a date, or a field.
  • the region, date, or field may be, for example, a condition that must be entered.
  • the information for filtering the information on the activity may additionally include a condition to be selectively input in addition to the required condition.
  • the first data input in accordance with the first data receiving step (S10) is used as the input value
  • the second data which is a predicted value for the admission grade information based on the national admission system for the overseas university entrance of prospective international students, is the result.
  • a second data derivation step (S20) of deriving second data by using a university entrance grade derivation function, which is a predetermined algorithm function as a value, may be performed.
  • the university entrance grade derivation function which is the above-described preset algorithm function, can use a number of existing or new algorithms, if necessary.
  • the first example of the algorithm used to derive the second data from the first data is to derive the university entrance score from the SAT score, which is a test required when entering an American university.
  • the English score of prospective international students e.g., English score in the school in which they are attending or the score acquired in a test that can measure English proficiency, etc.
  • math score in the school or in/out of school Data can be comprehensively quantified or judged individually for competitions, etc., and the SAT score can be converted.
  • the score range predicted that prospective international students will acquire will be the highest in the SAT, and 100 points.
  • the score range predicted to be acquired on the SAT would be higher, and as a result, in the English and mathematics areas of the SAT, prospective international students calculated through the above-described process will acquire it. There may be a way to add up the predicted scores.
  • the result value including information stored in the prospective international student account or the information on the entrance grades obtained at the time of entering university of students having a similarity value equal to or greater than a preset threshold value in the database compared with the first data as an input value. Is to derive.
  • the pre-existing students who were the same or similar to the conditions of the prospective international students are to predict the information on the future entrance scores that the prospective international students will acquire through the information on the entrance grades acquired when entering the university.
  • the similarity value at this time is a value that determines how similar conditions are compared with a number of conditions stored in the prospective international student account.For example, the current grades, language ability, and school name or region information of prospective international students are similar. It can be understood as searching for students. Of course, each item may be searched with a separate weight. For example, students who attended or lived in the same school or region may be searched first.
  • the expected entrance score of PS1 derived through the algorithm of the second example described above is loaded or calculated based on the grades of graduates who have the closest similarity value to PS1. You can understand it as the result.
  • the second data including a number of cases of students or graduates having a similarity value equal to or greater than the above-described threshold.
  • technologies such as artificial intelligence, deep-learning, or machine-learning may be applied to improve the reliability or accuracy of the result value of the second data.
  • a deep neural network (DNN) technology may be used.
  • DNN Deep neural network
  • ANN Artificial Neural Network
  • the pole or signal is input data in the artificial neural network
  • the threshold value is the weight
  • the action performed by the stimulus may correspond to the output data.
  • a neural network has an input layer that receives a number of input data, an output layer in charge of outputting data, and a hidden layer that exists between the input layer and the output layer.
  • Configuring the number of nodes and nodes can be said to constitute a model, and by constructing such a model, the desired output data can be predicted.
  • the hidden layer at this time uses an activation function (a function used to pass a nonlinear function and pass it through a nonlinear function instead of directly passing the values coming to the node in the deep learning network) to optimize weights and biases ( Bias: It plays a role in finding a factor that hurts the fairness of decision making.
  • DNN is a method of improving the learning result by having a large number of hidden layers in the model. That is, DNN refers to a learning method having at least two hidden layers. Therefore, by being able to have at least two hidden layers, the computer can generate the classification label by itself, distort the space, and repeat the process of classifying the data to derive the optimal result.
  • DNNs are used in various fields such as image processing, speech recognition, and natural language processing, and the probability of being biased by applying this DNN technology when deriving the above-described second data.
  • the accuracy of the second data predicted that prospective international students will acquire at the time of admission to college increases as the information on the entrance grades obtained by students or graduates with a large similarity value accumulates when entering college. .
  • RF Random Forest
  • RF is composed of a plurality of random decision trees.
  • RF is 1) randomly selects n duplicates from a given training data set, and 2) d data feature values from the selected n data samples without allowing duplicates. After selecting, 3) learning and generating a decision tree using this, and then repeating steps 1) ⁇ 3) k times, predicting using k decision trees generated through this process, and predicting the result. The average or the predicted result with high frequency of appearance is selected and determined as the final predicted value.
  • a method of using the average of the prediction results from the k number of decision trees in the last step or a method of using a plurality of prediction results is referred to as an ensemble technique.
  • the above-described RF technology is a technology that derives the average of the predicted results through a number of data or the result value that appears the most, and the information on the admission grades acquired at the time of entering the university of students or graduates with a large number of similarity values is accumulated.
  • Boosting is a technique for creating a strong model by combining a large number of weak elements, and it is to create a predictive model that improves accuracy by combining rules (Weak Learners) that are a little more likely than random selection. . In other words, it is to change the Weak Learner (or rule, classifier) to Strong Learner, which is not a rule that is too certain or strong enough to be applied in common.
  • Weak Learner refers to a learning rule with a higher probability of success or less than 50% error rate rather than selecting randomly, and the selection method applies an existing algorithm to have different distributions. Each time the algorithm is applied several times, a different Weak Learner is created, and after it is repeatedly performed, the Weak Learner is combined with a Boosting algorithm to make it a Strong Learner. However, when learning using Weak Learner, when an error occurs, it learns with a new Weak Learner in a direction that can handle the error that occurs, and all these results are summed up to make Strong Learner as the final result.
  • Boosting refers to the previous result every time a new Weak Learner is learned, and since the output from the Weak Learner is finally combined, a Strong Learner with maximized prediction rate can be created.
  • a study abroad information providing step S30 of providing information related to study abroad using the second data derived according to the execution of the second data derivation step S20 performing the above-described processes is performed.
  • the entrance grade information corresponding to the information of one or more desired universities or majors that the prospective student wishes to enroll in is compared with the second data.
  • step (S31) of calculating the possibility of enrollment to calculate a value of the possibility of enrollment to determine whether at least the possibility of advancing to the desired university or the desired major, or whether there is an area that is predicted to have insufficient scores necessary for advancing into the university. Performed.
  • the predicted information at the university entrance exam is compared with the entrance grade information corresponding to the information of one or more desired universities or desired majors through the second data of prospective international students. This is to prepare for the entrance exam by analyzing in advance.
  • the expected entrance grade of PS1 derived through the second data derivation step (S20) is 1300 points for SAT and 3.5 points for Grade Point Average (GPA). It can be seen that the average admission grade (derived from database, etc.) of U1, one of the desired universities entered in the prospective international student account information, is about 1650 points in the SAT and 3.7 points in the GPA.
  • the expected entrance grade of PS1 will not be lower than the average entrance grade of U1, the university that PS1 hopes for, and based on the expected entrance grade of PS1 students, the data analyzed by the possibility or probability of going to school is derived. If there is a low likelihood of going to school, in which areas should be supplemented, or if there are students who have advanced to school despite similar admission grades, which items were strong points, in particular, data on detailed analysis results on subjects with insufficient scores, etc. It is to calculate the inclusive academic probabilities.
  • the entry possibility value is prioritized by comparing it with the desired university or desired major information that requires the highest entrance grade information. It would be desirable to calculate.
  • the desired university U1 of FIG. 3 can be said to be a place that requests the highest entrance grade information, and by calculating the highest entrance grade information first, it motivates prospective international students or selects the school to be enrolled later. In the selection process, these values are used or referenced.
  • condition information received by the condition information receiving step When the above-described enrollment possibility numerical calculation step (S31) is completed, condition information received by the condition information receiving step, attribute information of a target school stored in a database, information about a graduate of a target school, and a target school As an input value, the information of the prospective international student as an input value as information including the academic ability information of the graduates of the University of Korea and the information stored in the prospective student account, information including at least the current grade, language ability, desired university and major information, and preference information of the prospective international student.
  • a suitability value calculation step (S32) of calculating a suitability value of each school to be enrolled is performed using a recommended school derivation function that uses the suitability value as a result value, and uses the enrollment possibility figure as a variable value in the calculation.
  • the received condition information is preferably the condition information described above.
  • only preset condition information that can be applied as a variable to the recommended school derivation function can be selected and used.
  • the attribute information of the school to be enrolled is detailed information of the school, and may include the curriculum of the school, information on the academic level of graduates or enrolled students of the school, information on available academic auxiliary institutions around the school, and the like. I can.
  • attribute information of the target school is calculated for entering university according to at least student-to-teacher ratio information, university entrance rate information, average score information for students' college entrance exams, and history of hobbies and specialty activities in the school. It is preferable to include at least one of average score information, neighboring institute information, honors class information, credit recognition class (AP class) information, hobbies activity information, and constitution race information for the activity score.
  • average score information is calculated for entering university according to at least student-to-teacher ratio information, university entrance rate information, average score information for students' college entrance exams, and history of hobbies and specialty activities in the school. It is preferable to include at least one of average score information, neighboring institute information, honors class information, credit recognition class (AP class) information, hobbies activity information, and constitution race information for the activity score.
  • AP class credit recognition class
  • FIGS. 4 and 5 Examples of information and attribute information of a target school that may correspond to such condition information are illustrated in FIGS. 4 and 5.
  • school district information may be included when a school district exists in a corresponding country. Also, as gender information, whether it is a coeducational school or a school where only male or female students can enter can be managed.
  • Residence information is information about whether a dormitory is available or whether it is commuting to school at a nearby general accommodation, and information for using the corresponding residence facility, and information about the cost of using the dormitory or the cost of using general accommodation such as a homestay can be managed.
  • information such as area, date, number of dormitories, presence of pets, cost, race, religion, smoking, family members, number of people staying in the room, desk location, or equipment provided are included as the facility information of the dormitory or general accommodation. Can be managed.
  • the commuting information is information on transportation means for commuting to school, whether to commute on foot, and the like, and may be managed by including information on the cost of using the means of transportation for the corresponding school.
  • the number of students is the total number of students or grade, information on the average number of students per class, grade is information on the grades that can be completed through the school as described above, and the classification information is information on whether it is a general/professional school, whether or not it is possible to enter a university. May contain information. Religious information is as described above.
  • condition information information on whether or not a curriculum in which credits are recognized when entering university as information on the International Baccalaureate Diploma Program (IB) and Advanced Placement (AP) may be included as condition information.
  • IB International Baccalaureate Diploma Program
  • AP Advanced Placement
  • information on various regions such as climate, transportation means from the country to the region, prices, and city size, such as information on a deadline at the time of application for admission and regional characteristics, may be included in the above-described region information and managed.
  • Basic information corresponding to the condition information of the school to be enrolled in FIG. 4 and various information managed in FIGS. 5 to 8 to be described later may be managed by an external database or a memory provided in the computing device as described above.
  • Data is managed means that the addition, modification, or deletion of managed data is managed by the storage location for the management of the recommended school derivation function through machine learning or deep learning described above.
  • the addition, correction or deletion of such data is performed by detecting data fluctuations on factors that may affect the recommended school derivation function in real time, or at the time of updating periodic schedule learning courses such as semesters and grades. Can be done.
  • attribute information that can be managed for the same target school HS1 is structured.
  • the attribute information refers to information that can act as a variable in the function of automatically deriving recommended schools, but can act as a variable regardless of the condition information input from the prospective international student account.
  • information on student-to-teacher ratio information information on college entrance exams, average score information for students' college entrance exams, and activity scores calculated for college entrance according to the history of hobbies and specialty activities in the school. It may include average score information, surrounding academy information, advanced classes (honors class) information, credit recognition class (AP class) information, hobbies activity information, and composition race information.
  • the average score information for the activity score may be derived from the average completion history of students at the corresponding school, or it may be understood as a concept including the activity score that can be secured by the school and the activity providing organization in the surrounding area. have.
  • AP class information can be understood as a concept that includes IB class information as described above, and whether or not the AP(IB) course is included, detailed information and number of AP(IB) subjects, the number and type of credits recognized, etc. It may include information about.
  • the university entrance information of the graduates of the target school and the academic ability information of the graduates of the target school can also be used to calculate the school's suitability value as described above.
  • University entrance information and academic ability information can be managed.
  • the use of the information of students who have used the services provided in the present invention as prospective international students would be most desirable for conditions such as the use of personal information, but a contract with the target school for the use of personal information of enrolled students or graduates Depending on whether or not, the above-described information on graduates other than students who have used the service provided in the present invention may be used together.
  • the information on college admission of graduates of the target school will be understood as a concept including information on the number of graduates who have entered the university and each department, and the entrance examination guidelines of the university where the graduates have entered.
  • the information on the academic ability of the graduates of the target school is, at least, the country of origin of the graduate, the domestic school, the grades at the domestic school, language ability, hobbies, special skills, the subjects attended by the graduates at the target school, participating clubs and competition awards. It is preferable to include at least one of.
  • FIGS. 6 and 7 Examples of information managed in the database on the university entrance information, academic ability information, and entrance examination guidelines of each university of the graduate GS1 are shown in FIGS. 6 and 7.
  • information of the graduate GS1 the country of the graduate GS1, information about the school he attended in Korea before studying abroad, information on academic ability at the school, information on language ability, hobbies, specialty, second Attribute information on foreign languages, musical instruments, sports, leadership, adaptability, etc. can be included and managed.
  • information corresponding to the above-described condition and attribute information for the school may be managed. That is, the school name, region, number of students information, school level grade information, average SAT information, average college enrollment rate, a list of universities that have entered the university, whether or not there is an AP (IB) class, a list of AP (IB) classes, and the like may be included.
  • the information of the graduate (GS1) the information on the details that the graduates actually learned in the corresponding high school (including elementary and secondary) may be managed as academic details information.
  • information about the subjects that the graduate (GS1) took, the clubs they participated in, and the AP (IB) classes they took may be managed.
  • achievement history information information about the competition awards acquired during the course of study at the target school, actual admission college, GPA, SAT, major, passed college and major, etc. may be managed together.
  • information on the entrance examination guidelines of each university is managed.
  • Information on each university's entrance examination guidelines for example, each university's country, recommended GPA score, recommended SAT score, recommended activity score, recommended SAT2 score, recommended language proficiency score, recommended AP score, recommended A-level score, etc.
  • information on the number of points that can be secured at the target school is managed, and can be used as an element to determine whether or not to enter a specific target school in order to enter the university.
  • step S32 the value of the corresponding variable is applied to the recommended school derivation function using all of the above-described information as a variable, and a suitability value of each target school is calculated as a result value of the recommended school derivation function.
  • a weight is applied to each variable, or a grouping process and a stepwise process of each variable are applied to contribute to the calculation of the suitability value. An example of this is shown in FIG. 8.
  • the recommended school derivation function (F(A, B..)) is the information of the target school (HS1), the information of the graduates (GS1), the information of the university (U1) and prospective students (PS1). ) Is used as a variable, and the suitability value (SHS) is calculated and compared for each target school.
  • the suitability value differs depending on, for example, a variable that can vary within a specific range, a variable that can be set as yes/no, and a variable that can belong to any one of a preset number of types. Influence values are established and can be derived accordingly.
  • variables may fluctuate within the numerical range, and in this case, the function is a function that can influence the suitability value (SHS) proportionally or inversely as a continuous function depending on the variable.
  • SHS suitability value
  • Algorithms can be set. That is, in the case of the SAT score, a specific score may be set in proportion to the corresponding score.
  • scores for each range may be assigned. For example, in the case of tuition fees, the range is set to a preset number (for example, divided into 10 sections between the minimum and maximum values), and the appropriateness value is calculated by applying the score set in the range to which the tuition fee of the target school belongs. Can be used to
  • a variable that can be set as yes/no may be set so that a specific score can be subtracted or added according to a positive or negative concept for each yes and no.
  • a variable that can belong to any one of a preset number of types is set so that a specific score can be subtracted or added according to each variable, or if the corresponding type can be continuously proportional score, such as regional stability, a proportional score Can be set to
  • a weight is applied to each score according to the importance of each element, and the fit value can be derived by summing all the scores assigned according to variables that can be considered.
  • condition information if the priority is set to tuition fees, average SAT score of graduates, student/teacher ratio, race ratio (e.g. Asian ratio), etc., the score assigned to each variable according to the target school
  • a suitability value for condition information may be derived by summing all the multiplied values.
  • the system automatically applies that prospective international students consider graduates as a kind of mentor in order to enter the university, so that the target school can be more optimally selected.
  • the recommended school derivation function is based on the similarity value between the current grades, language ability, desired university and major information of prospective international students, information on college entrance to the graduates of the target school, and information on the academic ability of the graduates of the target school. It can be set to give the highest weight.
  • the recommended school derivation function is, among the information on the specifications required for admission to the desired university, and the attribute information of the target school, the average score information on the college entrance examination of at least students, within the school.
  • the average score information for the activity score calculated for college entrance according to the history of hobbies and specialty activities, information on nearby academies, information on advanced classes (honors class), and information on credit recognition classes (AP classes)
  • a specification-satisfiable value capable of determining whether the specification information required for admission to the desired university entrance can be satisfied when entering the target school may be calculated, and used as a variable value in the fitness numerical calculation.
  • this embodiment recommends a target school by comparing how similarly they can go to university through comparison with the above-described graduates, while setting the learning ability of prospective international students to the maximum value and entering the desired university. The number is judged based on how much specs to be prepared can be secured through the academic process (curriculum) of the target school.
  • the summation method of the scores for each variable, the similarity value of each variable, and the value capable of satisfying the specification of each variable are classified as in the above-described example, in which method or numerical calculation method is used for each variable.
  • it can be applied independently or in combination with each other to be used in a suitability numerical calculation. That is, the above embodiments are not used independently of each other, but can be applied in combination with each other.
  • the recommended school derivation function includes information on the attributes of the target school, such as the average SAT score, along with the above-described similarity value and specification-satisfying value, information on the college entrance of the graduates of the target school, and the academic ability of the graduates of the target school.
  • Information and information stored in the prospective international student account which includes at least the prospective student's current grades, language ability, desired university and major information, and preference information, and is applied as a function that takes prospective student data as an input value. The information can be used to firstly filter the schools to be enrolled in which the appropriateness value will be calculated by applying a recommended school derivation function.
  • a preset number for example, 20
  • the above-described recommended school derivation function is applied to each of the primary candidate schools. It is to calculate the suitability figure.
  • the enrollment probability value is a numerical value that determines whether at least the possibility of enrolling into the desired university or major, or whether the required score is insufficient or is predicted to be sufficient, and is used as a variable in the calculation.
  • Poetry for example, if the likelihood of going on to school is low in the result of judging the possibility of going on to school, if you go to a school called A, you can receive a number of on-campus/out-of-campus activities.
  • school B the possibility of raising the score by providing a sufficient curriculum is high, so it is a method of preferentially recommending as a target school, and it can be understood that it is used together to perform the above-described recommended school derivation function.
  • the computing device selects the school to be enrolled with the highest suitability value calculated in step S32 as the recommended school, and provides information on the selected recommended school to the prospective international student account. To perform the school recommendation step (S33).
  • the information of the recommended school provided in the school recommendation step (S33) is, in addition to basic information for identifying the school, such as the name of the school, and some of the schools and graduates of the school used in the above-described suitability value (for example, All information managed as described above may be provided together with the 1 person with the highest similarity value).
  • the school recommendation step (S33) when providing information on the recommended school to the prospective student account, the academic activities, hobbies, and surroundings to be performed after entering the recommended school in order to satisfy the specification can be satisfied.
  • Information on the academy activities can be provided as recommended activity information so that prospective international students can use the information in the learning process when entering the school.
  • the computing device may additionally provide an additional service for a prospective international student or a parent to apply to a school that is actually recommended. That is, when the computing device receives a request for admission to a recommended school from a prospective student account after performing the study abroad information providing step (S30), a procedure service providing step of providing information on necessary materials and procedure services for advancing to the recommended school. You can do more. It will be understood that this is included as a concept of providing a series of processes for providing information and form provision services, and online procedure services for all documents required to apply to the school.
  • FIG. 9 An example of a screen displayed on the user terminal is shown in FIG. 9.
  • information on the school (HS1) with the highest suitability value of each target school derived as a result of performing all the above-described steps for prospective international students is output, and the corresponding As detailed information of the school, the above-described data may be provided so that they can be inquired through the information view menu.
  • a service corresponding to the above-described procedure service provision step may be used.
  • the condition information entered by the prospective international student account information on the academic ability of the prospective international student in Korea, and the academic ability of the prospective international student, and the school or language grade in which they are currently attending are taken into account.
  • Predict the college entrance grade score consider the predicted college entrance grade score and the college entrance grade score of the desired university to select the best target school, and select the specifications of the target school selected through the above process.
  • the curriculum information on the details of the college entrance of the target school, and the academic ability of the graduates who entered the college after entering the target school, the optimal course for prospective international students to enter the university they wish to enter It will recommend the school to which you can complete the course.
  • FIGS. 10 and 11 are block diagrams illustrating a device for recommending a study abroad course for entering an overseas university according to an embodiment of the present invention.
  • a description of unnecessary embodiments overlapping with those of FIGS. 1 to 11 will be omitted.
  • the apparatus 10 for recommending a study abroad course for entering an overseas university includes a first data receiving unit 11, a second data deriving unit 12, and a study abroad information providing unit 13.
  • the first data receiving unit 11 performs a function of receiving first data including at least the current grades, language ability, and school name or region information of the prospective international student from the account of the prospective student who has subscribed to study abroad at an overseas school. do.
  • the information on the current grades of the preliminary international student account described above is information inputted by the preliminary international student through the input means through the user terminal 1. That is, it will be understood as a configuration that performs all the functions mentioned in the description of S10 in the above description.
  • the second data derivation unit 12 uses the first data input according to the first data receiving unit 11 as an input value, and is a predicted value for the entrance grade information based on the national admission system for overseas university entrance of prospective international students.
  • a function of deriving second data is performed using a university entrance grade derivation function, which is a predetermined algorithm function using the second data as a result value.
  • the preset algorithm may be used by receiving the one set in the study abroad course recommendation device 10 tailored to the user's desire to go to an overseas university or stored in an external server, which is not shown. That is, in the above description, it will be understood as a configuration that performs all the functions mentioned in the description of step S20.
  • the study abroad information providing unit 13 performs a function of providing information related to studying abroad by using the second data derived according to the execution of the second data derivation unit 12. That is, in the above description, it will be understood as a configuration that performs all functions mentioned in the description of step S30.
  • the apparatus for recommending a study abroad course for going to an overseas university includes a condition information receiving unit 21, a university entrance possibility numerical calculation unit 22, a suitability numerical calculation unit 23, and A school recommendation unit 24 may be further included.
  • condition information receiving unit 21 performs a function of receiving condition information, which is information for searching for a target school, as information input through the user terminal 1 from an account of a prospective student registered for studying abroad at an overseas school. do.
  • the entrance possibility numerical calculation unit 22 may be additionally included in the apparatus 20.
  • condition information received by the above-described condition information receiving step attribute information of the target school stored in the database, information about college admission of graduates of the target school, academic ability information of the graduates of the target school, and information stored in the prospective international student account. Information including at least the current grades, language ability, desired university and major information, and preference information of prospective international students.
  • the suitability value calculation unit 23 May additionally be included in the device 20.
  • the school recommendation unit 24 may be additionally included in the device 20.
  • a procedure service that provides information on necessary materials and procedures for advancing to the recommended school.
  • a procedure service provider (not shown) may be additionally included in the device 20.
  • FIG. 12 shows an example of an internal configuration of a computing device according to an embodiment of the present invention, and in the following description, a description of unnecessary embodiments overlapping with the description of FIGS. 1 to 11 will be omitted. I will do it.
  • the computing device 10000 includes at least one processor 11100, a memory 11200, a peripheral interface 11300, and an input/output subsystem ( I/O subsystem) 11400, a power circuit 11500 and a communication circuit 11600.
  • the computing device 10000 may be a user terminal connected to a tactile interface device (A) or may correspond to the aforementioned computing device (B).
  • the memory 11200 may include, for example, high-speed random access memory, magnetic disk, SRAM, DRAM, ROM, flash memory, or nonvolatile memory. have.
  • the memory 11200 may include a software module, an instruction set, or other various data necessary for the operation of the computing device 10000.
  • access to the memory 11200 from another component such as the processor 11100 or the peripheral device interface 11300 may be controlled by the processor 11100.
  • the peripheral device interface 11300 may couple input and/or output peripheral devices of the computing device 10000 to the processor 11100 and the memory 11200.
  • the processor 11100 may execute various functions for the computing device 10000 and process data by executing a software module or instruction set stored in the memory 11200.
  • the input/output subsystem 11400 may couple various input/output peripherals to the peripherals interface 11300.
  • the input/output subsystem 11400 may include a monitor, a keyboard, a mouse, a printer, or a controller for coupling a peripheral device such as a touch screen or a sensor to the peripheral device interface 11300 as needed.
  • the input/output peripheral devices may be coupled to the peripheral device interface 11300 without going through the input/output subsystem 11400.
  • the power circuit 11500 may supply power to all or part of the components of the terminal.
  • the power circuit 11500 may include a power management system, one or more power sources such as batteries or alternating current (AC), a charging system, a power failure detection circuit, a power converter or inverter, a power status indicator or power. It may contain any other components for creation, management, and distribution.
  • the communication circuit 11600 may enable communication with another computing device using at least one external port.
  • the communication circuit 11600 may enable communication with other computing devices by transmitting and receiving an RF signal, also known as an electromagnetic signal, including an RF circuit.
  • an RF signal also known as an electromagnetic signal, including an RF circuit.
  • FIG. 12 is only an example of the computing device 10000, and the computing device 11000 omits some of the components shown in FIG. 12, further includes additional components not shown in FIG. 12, or 2 It can have a configuration or arrangement that combines two or more components.
  • a computing device for a communication terminal in a mobile environment may further include a touch screen or a sensor in addition to the components shown in FIG. 12, and various communication methods (WiFi, 3G, LTE) are included in the communication circuit 1160. , Bluetooth, NFC, Zigbee, etc.) may include a circuit for RF communication.
  • Components that may be included in the computing device 10000 may be implemented in hardware, software, or a combination of both hardware and software, including one or more signal processing or application-specific integrated circuits.
  • Methods according to an embodiment of the present invention may be implemented in the form of program instructions that can be executed through various computing devices and recorded in a computer-readable medium.
  • the program according to the present embodiment may be configured as a PC-based program or an application dedicated to a mobile terminal.
  • An application to which the present invention is applied may be installed on a user terminal through a file provided by the file distribution system.
  • the file distribution system may include a file transmission unit (not shown) that transmits the file according to the request of the user terminal.
  • the apparatus described above may be implemented as a hardware component, a software component, and/or a combination of a hardware component and a software component.
  • the devices and components described in the embodiments include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), It may be implemented using one or more general purpose computers or special purpose computers, such as a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions.
  • the processing device may execute an operating system (OS) and one or more software applications executed on the operating system. Further, the processing device may access, store, manipulate, process, and generate data in response to the execution of software.
  • OS operating system
  • the processing device may access, store, manipulate, process, and generate data in response to the execution of software.
  • the processing device is a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it may include.
  • the processing device may include a plurality of processors or one processor and one controller.
  • other processing configurations are possible, such as a parallel processor.
  • the software may include a computer program, code, instructions, or a combination of one or more of these, configuring the processing unit to operate as desired, or processing it independently or collectively. You can command the device.
  • Software and/or data may be interpreted by a processing device or, to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. It can be permanently or temporarily embody.
  • the software may be distributed over networked computing devices and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.
  • the method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium.
  • the computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination.
  • the program instructions recorded in the medium may be specially designed and configured for the embodiment, or may be known to and usable by those skilled in computer software.
  • Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks.
  • -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like.
  • Examples of program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like.
  • the hardware device described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

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Abstract

La présente invention concerne un procédé de recommandation d'une formation d'études à l'étranger permettant une admission à une université à l'étranger et, plus particulièrement, un procédé comprenant : une première étape de réception de données consistant à recevoir, à partir d'un compte d'étudiant international potentiel à l'aide duquel l'étudiant international potentiel s'est inscrit à une formation auprès d'une école à l'étranger, des premières données comprenant au moins des notes actuelles, des compétences linguistiques et des informations de nom ou de région d'une école actuellement fréquentée, de l'étudiant international potentiel ; une seconde étape de déduction de données consistant à déduire des secondes données à l'aide d'une fonction de déduction de note d'admission à l'université qui correspond à une fonction d'algorithme préconfigurée comprenant des premières données entrées selon la première étape de réception de données, en tant que valeur d'entrée, et des secondes données correspondant à une valeur de prédiction concernant des informations de note d'admission, en tant que valeur de résultat, les informations de note d'admission étant basées sur un système d'admission de pays pour une admission à l'université à l'étranger d'un étudiant international potentiel ; et une étape de fourniture d'informations de formation à l'étranger consistant à fournir des informations relatives à la formation à l'étranger, à l'aide des secondes données déduites en fonction de la réalisation de l'étape de déduction des secondes données.
PCT/KR2020/011422 2019-08-26 2020-08-26 Procédé de recommandation d'une formation d'études à l'étranger permettant une admission à une université à l'étranger WO2021040411A1 (fr)

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