TW201935333A - Adaptive smart learning and employment matching system and method thereof for students - Google Patents

Abstract

A matching method includes: a plurality of employers or human resourcers inputting at least one condition data on a learning platform or on-line learning platform via a matching module; on the learning platform or on-line learning platform, according to the condition data, operating a course adjustment module to generate at least one planned course routes and at least one series of courses which can be adjusted by the employers or human resourcers; on the learning platform or on-line learning platform, collecting a plurality of learning efficiency data of students or trainees in a learning-achievement database; on the learning platform or on-line learning platform, operating an assessment module to generate at least one ranked data or an assessment report.

Description

Adaptable intelligent student learning and employment matchmaking system and method

The present invention relates to an adaptive intelligent student learning and employment matching system and method thereof, and more particularly to an adaptive intelligent student learning and employment using adaptive students and manufacturers Matching systems and methods.

Relevant technologies used in the evaluation of employment competitiveness, such as the patent application for "Employment Competitiveness Evaluation Method" of the Republic of China Patent Publication No. TW-201101208, which discloses an employment competitiveness evaluation method. The employment competitiveness evaluation method includes: Step A. Calculate each condition of each job condition ability based on the market demand ratio of several condition items of several job categories in several job condition capabilities in a score database. The project has several competitiveness scores in each category, and then builds a comparison table of competitiveness scores.

Continuing, the employment competitiveness evaluation method of the aforementioned publication No. TW-201101208 includes the following steps: Step B. Calculate a number one of each condition item of the same conditional competence in the same category according to the competitiveness score Competitiveness percentage level [PR value], and then establish a competitiveness percentage level table with the corresponding competitiveness score, and preset a standard competitiveness percentage level.

Continuing, the employment competitiveness evaluation method disclosed in the aforementioned publication No. TW-201101208 includes: Step C, storing the condition items of several job applicants who have the initial capabilities of each of the job conditions into a resume database, and The score database is connected to the resume database. By comparing the data stored in the resume database with the competitiveness percentage table, each job candidate has the initial conditions of the job condition ability and is retrieved. Its competitiveness score under at least one of the job categories to be recruited and its corresponding first competitiveness percentage rank.

Continuing, the employment competitiveness evaluation method of the aforementioned publication No. TW-201101208 includes: step D, obtaining the first competitiveness percentage level lower than the standard competitiveness percentage level through each of the job applicants. Corresponding to the job conditions ability to provide an improvement proposal.

Another technology related to career development teaching is, for example, the invention patent for "career development teaching equipment and method" of the Republic of China Patent Publication No. TW-I533252, which discloses a career development teaching equipment. The career development teaching equipment includes a subject information integration platform and a teaching material platform, and the subject information integration platform includes a course unit, a threshold unit, a course record unit, a report unit and a reality platform.

Continuing on, the subject information integration platform of the aforementioned Announcement No. TW-I533252 is for a user to choose a profession, and the teaching material platform can be used to store the teaching information of the subject. The course unit can be used to display the relevant departments and subjects that meet the occupation selected by the user, and the threshold unit can be used to display the conditions required to graduate from the department, and the course record unit can be used for recording. The user is studying the status of each subject, and the report unit can be used to display the conditions of the threshold unit that the user has not yet completed, and the reality platform can be used to display the occupation environment in the subject information integration platform.

Another technique related to the course selection counseling process is, for example, the invention patent for "course selection guidance system and method" of the Republic of China Patent Publication No. TW-I508017, which discloses a course selection guidance method. The course selection counseling method includes: a job selection step for selecting a job; a corresponding course display step for displaying a course corresponding to a job selected by a user; and a course selection step for the job User chooses to repair Courses read; a completed course display step, which displays the proportion of courses required by the user who has completed each position or used to display the proportion of courses required by the user who has completed each position.

Continuing, the aforementioned Announcement No. TW-I508017 discloses a tutoring system for selecting courses. The course selection guidance system includes a database, a web interface means, a course display means, a course selection means and a completed course display means. The database is used to store a number of positions and courses, and each of the positions and some of the courses are correspondingly connected to each other, and each of the positions is correspondingly classified into one of a plurality of positions, and each of the positions Realms are classified into one of several categories. The web interface means provides the user to perform a job selection operation on the database through a web page, and the course display means displays a course corresponding to the selected job, and the user selects a course to be selected by the course selection means, And the displayed course display means is used to display the proportion of courses required by the user who has completed various positions, or used to display the proportion of courses required by the user to have completed various positions.

However, the aforementioned Republic of China Patent Publication No. TW-201101208, "Employment Competitiveness Evaluation Method", Announcement No. TW-I533252, "Career Development Teaching Equipment and Method", and Announcement No. TW-I508017, "Course Selection and Coaching" There is still a potential need for further improvement or integration in the development of individual related technologies of the "systems and methods".

Another technique related to the application of candidate candidates for processing, for example: "Identifying Candidates for Job Openings Using a Scoring Function Based on Features in Resumes and Job Descriptions" US Patent Publication No. US-20140122355, which discloses an application Candidate scoring technology, but it has nothing to do with prior curriculum planning, subsequent learning achievements, or subsequent workplace conformity assessment techniques.

Another related technology for online recruitment or customer processing, such as "System for Facilitation of Recruitment or Hiring on an Online" in US Patent Publication No. US-20140032436 "Interface and Methods Thereof" invention patent application, which discloses an online recruitment or employment system and method, but it has nothing to do with prior curriculum planning, subsequent learning achievements or subsequent workplace conformity assessment techniques.

Another technique related to conventional skill matching information processing, for example: "Skill Matching Information Providing Method" invention patent application of U.S. Patent Publication No. US-20030177049, which discloses a method for providing skill matching information, but it has nothing to do with pre-course planning Follow-up learning achievement or follow-up workplace conformance assessment techniques.

However, the aforementioned U.S. Patent Publication No. US-20140122355, "Scoring Techniques for Candidate Candidates", "US Online Recruitment or Career System and Method" and US-20030177049 "Matching information provision methods" did not provide advance curriculum planning, subsequent learning achievements, or subsequent workplace conformity assessment techniques, so there is still a potential need for further improvement or integration in the development of individual related technologies.

The aforementioned U.S. Patent Publications No. US-20140122355, Publication Nos. US-20140032436 and Publication Nos. US-20030177049, Republic of China Patent Publication No. TW-201101208, Invention Patent Application, Publication No. TW-I508017, Invention Patent and Publication No. TW -I533252 invention patent is only for reference of the technical background of the present invention and to explain the current state of technological development, and it is not intended to limit the scope of the present invention.

In view of this, in order to meet the above needs, the present invention provides an adaptable intelligent student learning and employment matching system and method thereof, which utilizes a system between a number of students or trainees and a number of manufacturers or manpower dispatch operators. Achievement database, a learning and employment matchmaking module, a course coordination module and an assessment module are used to generate a course planning path, a learning achievement data and a compliance assessment index, and use the achievement database, The learning and employment matchmaking module, course coordination module and assessment module are deployed on a learning platform or online learning platform to greatly improve the efficiency of student learning and employment matching And convenience.

The main purpose of the present invention is to provide a system and method for adapting intelligent student learning and employment matching, which uses an achievement database, a learning system between several students or trainees, and several manufacturers or manpower dispatching operators. Work with the employment matchmaking module, a course coordination module, and an assessment module to generate a course planning path, a learning achievement data, and a compliance assessment index, and mold the achievement database, learning and employment media The group, course coordination module and assessment module are deployed on a learning platform or an online learning platform to achieve the purpose of improving the efficiency and convenience of student learning and employment matchmaking.

In order to achieve the above object, the adaptable intelligent student learning and employment matching system according to a preferred embodiment of the present invention includes: a learning platform connected to several manufacturers' devices, at least one education manager device, and several learning record devices; An achievement database configured on the learning platform, and using the achievement database to aggregate several learning achievement data of an integer number of students, and the achievement database used to store several of the learning achievement data; a learning and employment medium A combination module is configured on the learning platform, and several manufacturers enter at least one conditional data through the learning and employment matchmaking module; a course coordination module is configured on the learning platform and uses the course coordination The module generates at least one course planning path and at least a series of corresponding courses according to the condition data, and allows the manufacturer to adjust the series of corresponding courses; and an assessment module configured on the learning platform and using the The learning achievement data generates at least one sorted data or a conformity assessment index through the assessment module.

In order to achieve the above objective, a method for adapting intelligent student learning and employment matching according to a preferred embodiment of the present invention includes: On a learning platform or an online learning platform, a number of manufacturers or individuals are dispatched to enter at least one conditional data through a learning and employment matchmaking module; on the learning platform or online learning platform, a course coordination module is used. The conditional data generates at least one course planning path and at least a series of corresponding courses, and allows the manufacturer or manpower dispatching operator to adjust the series of corresponding courses; using an achievement database on the learning platform or online learning platform to collect an integer number of courses Students or trainees' several learning achievement data; using the learning achievement data on the learning platform or online learning platform to generate at least one sorted data or a conformance assessment index through an assessment module.

Another object of the present invention is to provide a system and method for adapting intelligent student learning and employment matching, which not only automatically adapts the student's wishes and the needs of manufacturers, but also enables manufacturers to participate in the curriculum portfolio for the practical needs of industry. The arrangement also has an assessment mechanism to amend and fine-tune the condition list and course list in the system.

The invention relates to an adaptable intelligent student learning and employment matching system, which is adapted to adapt to a number of students and several manufacturers, and to enable these students to generate employment rankings corresponding to each manufacturer, which can adapt the intelligent type. The Department of Student Learning and Employment Matching System includes an achievement database and matchmaking modules.

There are several achievements in the achievement database for each student department. The matching module system includes a condition interface, a condition list, and an adaptation unit. The condition list contains several condition information and correspondingly presented in the condition interface. The condition information corresponds to the above-mentioned multiple achievement information respectively. The condition interface responds to one of these manufacturers to enter the weight value corresponding to the condition information they want to generate the relevant information. Corresponding condition weight signals, the adaptation unit is coupled to the achievement database, and uses the condition weight signals to analyze the corresponding achievement information. Weighting to generate corresponding ranking information for each student combination.

Continuing, the intelligent student learning and employment matchmaking system can then sort according to the sorting information of multiple students, corresponding to one of the many manufacturers to generate the employment ranking required by this manufacturer.

As described above, the intelligent student learning and employment matching system can be adapted, wherein the plurality of achievement information further includes achievement achievement information, and the achievement achievement information is generated corresponding to the course combination. The adaptable intelligent student learning and employment matching system further includes a curriculum coordination module, and the curriculum coordination module further includes a curriculum interface and a schedule. The schedule list contains several course information and is presented in the course interface. The course interface responds to the manufacturer's input of course information to generate corresponding course selection information, combines all the course selection information, and generates the described course combination.

As mentioned above, the adaptable intelligent student learning and employment matching system, the employees of the manufacturer are the students described in the adaptable intelligent student learning and employment matching system, which can adapt the intelligent student learning and employment The matchmaking system further includes an evaluation module. The evaluation module includes an evaluation interface and an evaluation list. The evaluation list is presented in the evaluation interface. The evaluation interface responds to external input to generate quantitative evaluation information through the evaluation list. When the assessment information does not match the predetermined value, a correction alert is generated. The correction alert is based on the condition list of the matchmaking module and the curriculum list of the course coordination module, and a notice requiring correction is generated.

The invention is also a method for adapting intelligent student learning and employment matching implemented by the system for adapting intelligent student learning and employment matching. The method for adapting intelligent student learning and employment matching includes the following steps: The interface responds to one of the vendors' corresponding condition information input weights, so as to generate corresponding condition weight signals; the condition weight signals are used to weight the corresponding achievement information to generate corresponding values for the student portfolio. Ranking information; and sorting corresponding to one of the manufacturers based on the ranking information of the students to generate the ranking of the employment.

As described above, the method for adapting intelligent student learning and employment matching, based on the achievement information in the achievement information, the method for adapting intelligent student learning and employment matching further includes the following steps: the course interface responds to the vendor's targeted course information The input corresponds to the course selection information; all the course selection information is combined to generate the course combination described.

As described above, the method for adapting intelligent student learning and employment matchmaking. For manufacturers' evaluation of employees, the method for adapting intelligent student learning and employment matchmaking further includes the following steps: The assessment interface responds to external inputs to pass The evaluation list generates quantitative evaluation information; compares the evaluation information with the pre-stored predetermined value. When the evaluation information does not match the predetermined value, a correction warning is generated; the correction warning is for the matchmaking module. The list of conditions and the schedule of the curriculum coordination module generate notifications that need to be amended.

Therefore, using the system and method for adapting intelligent student learning and employment matching provided by the present invention, not only automatically adapts the student's wishes and the needs of the manufacturer, but also allows the manufacturer to participate in the curriculum of the school for the practical needs of the industry The arrangement of the combination further has an assessment mechanism to modify and fine-tune the condition list and curriculum list in the intelligent student learning and employment matchmaking system. In this way, industry-academia cooperation is closer. Manufacturers not only get the ideal employees in their minds, students can also identify the direction they need to work for and get the ideal job opportunities based on their own efforts.

1‧‧‧learning platform

2‧‧‧Manufacturer device

3‧‧‧ Education Manager Device

4‧‧‧Learning Recording Device

10‧‧‧ Adaptable intelligent student learning and employment matchmaking system

12‧‧‧ students

13‧‧‧ teacher

14‧‧‧Manufacturers

30‧‧‧Achievement Database

32‧‧‧Matching Module

40‧‧‧Achievement Information

42‧‧‧Condition interface

44‧‧‧ Condition List

46‧‧‧ Adaptation unit

48‧‧‧Condition Information

49‧‧‧Weight

4002‧‧‧ achievement information

4004‧‧‧Trait achievement

4006‧‧‧Character achievement

4008‧‧‧Health Information

50‧‧‧Course Set

52‧‧‧Course Coordination Module

54‧‧‧Course interface

56‧‧‧Schedule

5602‧‧‧Course Information

58‧‧‧Course selection information

60‧‧‧Counseling Room Interface

62‧‧‧Interfacial Affairs Office Interface

64‧‧‧ Medical office interface

70‧‧‧ assessment module

72‧‧‧ assessment interface

74‧‧‧ Assessment List

76‧‧‧ predetermined value

Figure 1: Schematic diagram of the intelligent student learning and employment matching system according to the present invention.

FIG. 1A is a schematic flow chart of a method for adapting intelligent student learning and employment matching according to the present invention.

FIG. 2 is a schematic diagram of an intelligent student learning and employment matching system according to the present invention.

Figure 3: Schematic diagram of the conditional interface used in the present invention.

Figure 4: A schematic diagram of a course coordination module according to the present invention.

Figure 5: A schematic diagram of an assessment module used in the present invention.

FIG. 6 is a schematic flow chart of a method for adapting intelligent student learning and employment matching according to the present invention.

Figure 7: Schematic diagram of the process of using the manufacturer to generate a course combination in the present invention.

Figure 8: A schematic diagram of the process of using the manufacturer's appraisal feedback to correct the warning in the present invention.

In order to fully understand the present invention, the preferred embodiments will be described in detail below with reference to the accompanying drawings, which are not intended to limit the present invention.

FIG. 1 illustrates a schematic diagram of the intelligent student learning and employment matching system of the present invention; FIG. 2 illustrates a schematic diagram of the intelligent student learning and employment matching system of the present invention; FIG. 4 illustrates the curriculum adopted by the present invention. Schematic diagram of the coordination module; Figure 5 discloses the relevant schematic diagram of the assessment module used in the present invention. Please refer to Figs. 1, 2, 4 and 5. As an example, the present invention can adapt an intelligent student learning and employment matchmaking system 10 including a learning platform 1 [or online learning platform] and an achievement database 30 , A matchmaking module 32 (that is, a learning and employment matchmaking module), a course coordination module 52 and an assessment module 70, and the achievement database 30, a matchmaking module 32 [that is, a learning and employment matchmaking module] The combination module], the course coordination module 52, and the assessment module 70 are configured on the learning platform 1.

Please refer to FIG. 1 again. For example, the learning platform 1 (or online learning platform) is connected to a plurality of manufacturer devices 2, at least one education manager device 3, and a plurality of learning record devices 4, and the manufacturer device 2 The education manager device 3 and the learning record device 4 are selected from a computer function device (for example, a notebook computer) or a mobile communication function device (for example, a smart phone).

Please refer to Figure 1, for example, the manufacturer ’s device 2 can be operated by several manufacturers 14 (or manpower dispatch operators), and the education manager device 3 can be operated by several teachers 13 [or other education managers], and the learning record device 4 can be operated by several Teacher 13 [or learning recorder, for example: staff] records operation according to the learning status of several students 12 [or trainees].

FIG. 1A illustrates a schematic flowchart of a method for adapting intelligent student learning and employment matching according to the present invention, which can be used to implement the system for adapting intelligent student learning and employment matching disclosed in FIG. 1. Please refer to FIG. 1 and FIG. 1A. For example, the method for adapting intelligent student learning and employment matching according to the present invention includes step S1. First, a number of the manufacturers are on the learning platform 1 (or online learning platform). 14 [or manpower dispatcher] Enter the at least one conditional information (eg, the expertise required by the enterprise) via the matchmaking module 32 [that is, the study and employment matchmaking module or a module with similar functions].

Please refer to FIG. 1 and FIG. 1A again. For example, the method for adapting intelligent student learning and employment matching according to the present invention includes step S2: then, using the course on the learning platform 1 [or online learning platform] Coordination module 52 (or a module with similar functions) generates at least one course planning path and at least a series of corresponding courses according to the conditional data (for example, first-year to fourth-year university courses, master's programs, or doctoral programs), and allows The manufacturer 14 (or manpower dispatcher) adjusts the series of corresponding courses.

Please refer to FIG. 1 again. For example, the condition data contains the skills required for the talent position of the enterprise, the position of the enterprise talent, the required community experience, or other condition information, and it is repeatedly adjusted by the curriculum coordination module 52. A series of corresponding courses, and the condition data is transmitted to the students 12 [or trainees] via the learning platform 1 [or online learning platform], so that the students 12 [or trainees] can choose according to various needs The series of corresponding courses.

Please refer to FIG. 1 and FIG. 1A again. For example, the method for adapting intelligent student learning and employment matching according to the present invention includes step S3: Then, on the learning platform 1 [or online learning platform], use the achievement database 30 [or a database with similar functions] to collect several learning achievement data of the student 12 [or trainees].

Please refer to FIG. 1 and FIG. 1A again. For example, the method for adapting intelligent student learning and employment matching according to the present invention includes step S4: then, using the learning on the learning platform 1 [or online learning platform] Achievement data through the assessment module 70 (or a module with similar functions) to generate at least one sorted data or a conformity assessment index (for example, student learning history and path, student test results and achievements, student learning Qualified corporate job achievement, for example: 94% of software engineers (first-year to fourth-year course courses), 83% of their learning effectiveness (average of subjects), 88% of network engineers, and 95% of their learning effectiveness.

Please refer to FIG. 2, which illustrates a schematic diagram of the intelligent student learning and employment matching system 10 of the present invention. The invention relates to an adaptable intelligent student learning and employment matching system 10, which is adapted to adapt to several students 12 [or trainees] and several manufacturers 14 [or manpower dispatchers], and Students 12 rank the jobs that each manufacturer 14 generates. The adaptable intelligent student learning and employment matchmaking system 10 includes an achievement database 30 and a matchmaking module 32.

Please refer to FIG. 2 again. In the achievement database 30, there are several kinds of achievement information 40 corresponding to each of the 12 departments of each student. At least one kind of achievement information 40 is preferred. A plurality of kinds of achievement information 40 are preferred. The adaptable intelligent student learning and employment matching system 10 is a quantified student 12 resume, such as each subject's performance level, physical fitness level, skill level, behavior level, and even personality can be classified and quantified. The matching module 32 includes a condition interface 42, a condition list 44, and an adaptation unit 46.

Please refer to Figs. 2 and 3, and Fig. 3 shows a schematic diagram of the condition interface 42 of the present invention. The condition list 44 includes a plurality of condition information 48 and is correspondingly presented on the condition interface 42. These condition information 48 are respectively Should wait for achievement information 40. For example, in response to the vacancy requirement of an equipment engineer by the manufacturer 14, the condition information 48 opened by the manufacturer 14 through the condition interface 42 may be a hands-on operation ability, a science and engineering ability, a stable character, and a Chinese-English dialogue. Achievement information 40 will be the limbs integrity level, science and technology achievement level, personality stability level, Chinese and English language level.

Please refer to FIG. 2 and FIG. 3 again, the manufacturer 14 can input the weight 49 to the condition information 48 through the condition interface 42 respectively, so as to generate corresponding condition weight signals. The adapting unit 46 is coupled to the achievement database 30, and performs weighting on the corresponding achievement information 40 with these condition weight signals to generate corresponding ranking information for the students 12 combinations. In the previous example, the manufacturer 14 has four hands-on operations, science and engineering capabilities, and character traits that are stable and the language can be spoken in Chinese and English. The weight 49 of the four condition information 48 is set to 5, 3, 5, 2, which is the resulting condition right. The value signals are 5, 3, 5, and 2. There is a student with 12 limbs health grade, science and technology achievement grade, personality stability grade, and Chinese and English language grade grades of 3.3, 5.2, 4.6, and 2.1, respectively. Based on these condition weight signals The corresponding achievement information is 40 weighted, that is, 5 * 3.3 + 3 * 5.2 + 5 * 4.6 + 2 * 2.1 = 59.3, and this 59.3 is the ranking information of this student 12.

Among them, the adaptable intelligent student learning and employment matchmaking system 10 is based on the sorting information of several students 12 and sorts corresponding to one of the many manufacturers 14 to generate the ranking of the employment. In other words, each student 12 has its own sorting information for each manufacturer 14. Therefore, for this manufacturer 14, according to this sort of sorting information, it is ranked from high to low in order. The priority order of employees, for example, if the manufacturer 14 wants to recruit 3 equipment engineers, it can sequentially discharge the three being picked, and those above the size of the sorting information acceptable by the manufacturer 14 can be prepared in sequence. In addition, different manufacturers 14 have different condition information 48 and weight 49, so even the same Several students also ranked each vendor 14 differently.

Please refer to Figs. 2 and 4, and Fig. 4 discloses a schematic diagram of the course coordination module 52 used in the present invention. As for the types of these achievement information 40, for example, they can be divided into achievement achievement information 4002, trait achievement 4004, character achievement 4006, and health information 4008. In fact, they need to be similar to the above-mentioned various types of certain levels. The more detailed, the more suitable the job matching will be.

The most important of the achievement information 40 is actually achievement achievement information 4002, which represents the basic professional ability. Here, you can subdivide multiple subject levels as more detailed items of achievement information 40. The achievement achievement information 4002 further describes the adaptable intelligence. Another important feature of the Matching Student Learning and Employment Matching System10. The grade achievement information 4002 is generated corresponding to the course combination 50, in other words, the result generated by the student 12 in the course combination 50. The adaptable intelligent student learning and employment matchmaking system 10 further includes a curriculum coordination module 52. The curriculum coordination module 52 further includes a curriculum interface 54 and a curriculum schedule 56. The curriculum schedule 56 contains several curriculum information 5602 and Presented in the course interface 54, the course interface 54 responds to the input of the manufacturer 14 for the course information 5602 to correspondingly generate the course selection information 58, and combines all the course selection information 58 to generate the course combination 50 described above.

For example, there is a fund company that wants to hire a fund manager, but always feels that no matter how it is screened, people who come will need to undergo an additional training before they find it appropriate. For example, he hopes that he will use excel VBA program for big data analysis. No matter how good the homework in the school is, the selected employees will not write VBA programs, so the manufacturer 14 found that there are indeed "excel programming language practical courses" according to the school's schedule 56, but the courses started in science and engineering before The college is not in the financial department. The manufacturer 14 can click this course information through the course interface 54. 5602 "excel programming language practical course" becomes a course selection information58. The manufacturer 14 can even click other courses. The course information 5602 becomes a plurality of course selection information 58 again. The course selection information 58 selected by the manufacturer 14 is combined to form a new course combination 50. Curriculum information 5602 is simple if it is available in the school. It is even possible that special technology courses do not exist in the school. The manufacturer 14 can also invite employees to serve as lecturers. This course is offered in the school as part of the curriculum portfolio 50. The trained students 12 are the applicable employee candidates of the manufacturer 14.

Furthermore, achievement information 40 is not only about achievements. After many conditions are lacking, employees are still unable to perform the job in the workplace. The different achievement information 40 is generated from different school units or external units. For example, the trait achievement 4004 representing personality and interest is generated by the counseling room interface 60 corresponding to student 12 and responding to external input, and the character achievement representing the personality status 4006 is generated by the teaching office interface 62 corresponding to student 12 and responding to external input. The health information 4008 of the physiological condition is generated by the medical office interface 64 corresponding to the student 12 and responding to external input.

Please refer to FIG. 5, and FIG. 5 discloses a related schematic diagram of using the evaluation module 70 of the present invention. As described above, the adaptable intelligent student learning and employment matchmaking system 10, the employees of the manufacturer 14 correspond to the students 12 described in the adaptable intelligent student learning and employment matchmaking system 10, because the employees come from the past Students 12 and 14 in schools often use the adaptable intelligent student learning and employment matchmaking system 10 in the early stage. The employees discovered may not be the most appropriate and appropriate. The problem may come from the original definition of the condition list 44 or the curriculum list. Defects occurred at 5600 hours, and an ideal automated assessment and correction mechanism for the intelligent student learning and employment matchmaking system 10 must be provided. Therefore, the adaptable intelligent student learning and employment matchmaking system 10 further includes an assessment module 70. The assessment module 70 includes an assessment interface 72 and an assessment list 74. The assessment list 74 is correspondingly presented. In the assessment interface 72, the assessment interface 72 responds to the input of the personnel of the assessment department of the external manufacturer 14 to generate quantitative assessment information through the assessment list 74. When the assessment is performed, After the information does not match the predetermined value of 76, a correction alert is generated. The correction alert is for the condition list 44 of the matchmaking module 32 and the curriculum list 56 of the course coordination module 52, and a notice requiring correction is generated.

For example, the evaluation information is the number of times that the project completion date exceeds the period control date within six months, and the predetermined value is 76 times. The so-called non-conformity is defined as exceeding. Therefore, when the evaluation is conducted for the six months and it is found that the overdue status exceeds five times, A correction alert will be issued. When the manufacturer 14 received the revised warning, although he knew that the employee was unfit, the manufacturer 14 was able to further review the original condition schedule 44 or the schedule 56 may be unsatisfactory, and was able to review to modify the condition schedule 44 or Schedule 56 will at least make future hires more competent.

Please refer to FIG. 6, and FIG. 6 is a flowchart of a method for adapting intelligent student learning and employment matching according to the present invention. The present invention is also an adaptable intelligent student learning and employment matchmaking method implemented by the aforementioned adaptable intelligent student learning and employment matchmaking system 10, which is adapted to adapt to several students 12 and several manufacturers 14, and Make these students 12 corresponding to the ranking of employment generated by each manufacturer 14. The intelligent student learning and employment matching method has an achievement database 30. The achievement database 30 has several achievement information 40 for each student 12 department. At least one of the achievement information 40 can adapt the intelligent student learning and employment matching method and has a conditional interface 42. The condition list 44 contains a number of conditional information 48 and is correspondingly presented on the conditional interface 42. These conditional information 48 are respectively Corresponds to such achievement information 40. The adaptive intelligent student learning and employment matchmaking method includes the following steps: (S02) The conditional interface 42 responds to one of these manufacturers 14 corresponding to the condition information 48 and enters a weight 49 to generate a corresponding condition weight signal (S04) The corresponding achievement information 40 is weighted with the condition weight signals to generate corresponding ranking information for the students 12 combination; and (S06) according to the ranking information of these students 12, corresponding to one The vendor 14 performs the ranking to generate the ranking of the employment.

Please refer to FIG. 7, and FIG. 7 discloses a flowchart of the manufacturer 14 of the present invention participating in generating a course combination 50. As mentioned above, the intelligent student learning and employment matching method can be adapted, in which the achievement information 40 includes achievement achievement information 4002, the achievement achievement information 4002 corresponds to the course combination 50 to generate, and the schedule 56 department contains several courses The information 5602 is presented on the course interface 54. The adaptive intelligent student learning and employment matching method further includes the following steps: (S10) the course interface 54 responds to the input of the manufacturer 14 for the course information 5602 to correspond to the course selection information 58; (S12) combines all the course selection information 58 , Which in turn generates the course combination 50 described above.

Please refer to FIG. 8, and FIG. 8 discloses a flow chart of feedback from the manufacturer 14 of the present invention to the correction alert. As described above, the adaptive intelligent student learning and employment matching method, the employees of the manufacturer 14 should correspond to the students 12 described in the adaptive intelligent student learning and employment matching method, and the evaluation list 74 corresponds to Presented in the assessment interface 72, the method for adapting intelligent student learning and employment matching further includes the following steps: (S20) The assessment interface 72 responds to external inputs to generate quantitative assessment information through the assessment list 74; S22) Compare the evaluation information with the pre-stored predetermined value 76; (S23) When the evaluation information does not match the predetermined value 76, a correction alert is generated; (S24) The correction alert is for the media module 32 The condition list 44 and the course coordination module 52 of the schedule list 56 generate notifications that need to be amended.

In addition, as described above, the intelligent student learning and employment matching method can be adapted. The achievement information 40 further includes trait achievement 4004, character achievement 4006, and health information 4008. Trait achievement 4004 is generated by counseling room interface 60 corresponding to student 12 and responds to external input. Character achievement 4006 is generated by response office interface 62 corresponding to student 12 and generated by external input. Health information 4008 is generated by medical office interface 64 corresponding to student 12. And respond to external input to generate.

Therefore, using the adaptive student learning and employment matching system 10 and method provided by the present invention, not only automatically adapting students The willingness of 12 and the needs of manufacturers 14, and allows manufacturers 14 to participate in the arrangement of the curriculum portfolio 50 in the school for the practical needs of the industry, and further has an assessment mechanism to modify and fine-tune the system's condition list 44 and curriculum list 56. With this, the closer the industry-academia cooperation, manufacturers 14 not only get the ideal employees in their minds, but students 12 can also clarify the direction they should work for and get the ideal job opportunities based on their own efforts.

The foregoing preferred embodiment merely exemplifies the present invention and its technical features, and the technology of this embodiment can still be appropriately implemented with various substantially equivalent modifications and / or replacements; therefore, the scope of rights of the present invention shall be subject to the attached patent application The scope defined by the scope shall prevail. The copyright in this case restricts the use to the patent application of the Republic of China.

Claims (10)

An adaptable intelligent student learning and employment matchmaking system includes: a learning platform that connects several manufacturers' devices, at least one education manager device, and several learning record devices; an achievement database, which is configured in the On the learning platform, the achievement database is used to collect several learning achievement data of an integer number of students, and the achievement database is used to store several learning achievement data; a learning and employment matching module, which is configured in the learning Platform, and several manufacturers input at least one conditional data through the learning and employment matchmaking module; a course coordination module, which is configured on the learning platform, and uses the course coordination module to generate at least one according to the conditional data The course plans a path and at least a series of corresponding courses, and allows the manufacturer to adjust the series of corresponding courses; and an assessment module configured on the learning platform and using the learning achievement data to pass the assessment module Generate at least one sorted data or a conformance assessment index. An adaptable intelligent student learning and employment matchmaking system is used to adapt several students and several manufacturers, and make these students generate employment rankings corresponding to each manufacturer. The adaptable intelligent student learning and employment The employment matchmaking system includes: an achievement database, corresponding to each student department having at least one achievement information among several achievement information; and a matchmaking module, which includes a conditional interface, a conditional list, and a suitable Distribution unit, the condition list contains several condition information and correspondingly presents on the condition interface, the condition information corresponds to the achievement information respectively, and the condition interface responds to one of the manufacturers to enter a right corresponding to the condition information Value to generate corresponding condition weight signals, the adaptation unit is coupled to the achievement database, and the corresponding condition information signals are weighted with the condition weight signals, so as to generate corresponding student portfolios Sorting information; among them, the adaptable intelligent student learning and employment matchmaking system is based on The ranking information of the students is sorted corresponding to the one of the manufacturers to generate the ranking of the employment. According to the adaptable intelligent student learning and employment matching system described in item 2 of the scope of the patent application, where the achievement information includes a grade achievement information, the grade achievement information is generated corresponding to a course combination, the applicable information The intelligent student learning and employment matching system further includes a curriculum coordination module. The curriculum coordination module further includes a curriculum interface and a schedule. The curriculum schedule contains several course information and is presented in the course. Interface, the course interface responds to the manufacturer's input of the course information to generate a course selection information correspondingly, combines all the course selection information, and then generates the course combination described. According to the adaptable intelligent student learning and employment matchmaking system described in item 3 of the scope of the patent application, where the employees of the manufacturer are the students described in the adaptable intelligent student learning and employment matchmaking system, The adaptable intelligent student learning and employment matchmaking system further includes an assessment module. The assessment module includes an assessment interface and an assessment list. The assessment list is correspondingly presented in the Evaluation interface. The evaluation interface responds to external input to generate quantitative evaluation information through the evaluation list. When the evaluation information does not match a predetermined value, a correction alert is generated. The correction alert is Regarding the list of conditions of the matching module and the list of courses of the course coordination module, a notice requiring amendment is generated. According to the adaptable intelligent student learning and employment matching system described in item 2 of the patent application scope, the achievement information further includes a trait achievement, a character achievement, and a health information. The trait achievement is provided by a tutor. The room referrer responds to external input to generate students. The character achievement is generated by an academic office and responds to external input to respond to students. The health information is generated by a medical referrer to respond to students and responds to external input. An adaptable intelligent student learning and employment matching method includes: several manufacturers or individuals on a learning platform or an online learning platform A dispatcher inputs at least one conditional data through a learning and employment matchmaking module; uses a curriculum coordination module on the learning platform or online learning platform to generate at least one course planning path and at least a series of corresponding courses based on the conditional data And allow the manufacturer or manpower dispatching operator to adjust the series of corresponding courses; use an achievement database on the learning platform or online learning platform to exchange several learning achievement data of an integer number of students or trainees; and on the learning platform Or use the learning achievement data on an online learning platform to generate at least one sorted data or a conformity assessment index through an assessment module. An adaptable intelligent student learning and employment matching method is used to adapt several students and several manufacturers, and make these students generate employment ranking corresponding to each manufacturer. The adaptable intelligent student learning and employment The employment matchmaking method has an achievement database, and each achievement department has at least one achievement information among several achievement information, which can adapt the intelligent student learning and employment matchmaking method and has a conditional interface. A condition list contains several condition information and is presented in the condition interface. The condition information corresponds to the achievement information. The method for adapting intelligent student learning and employment matching includes the following steps: condition The interface responds to one of the vendors by entering a weight corresponding to the condition information, so as to generate a corresponding condition weight signal; the condition weight signal is used to weight the corresponding achievement information to generate the student combination. Corresponding sorting information; and sorting corresponding to one of the vendors based on the sorting information of the students to generate the described Sort industry. According to the adaptive intelligent student learning and employment matching method described in item 7 of the scope of the patent application, where the achievement information includes a grade achievement information, the grade achievement information is generated corresponding to a curriculum combination, a schedule The series contains several course information and is presented in a course interface. Competitive student learning and employment matching method further includes the following steps: the course interface responds to the manufacturer's input of the course information to generate a course selection information correspondingly; combining all the course selection information to generate the said course combination. According to the adaptable intelligent student learning and employment matching method described in item 8 of the scope of the patent application, wherein the employees of the manufacturer are the students described in the adaptable intelligent student learning and employment matching method, An evaluation list corresponds to an evaluation interface, and the method for adapting intelligent student learning and employment further includes the following steps: The evaluation interface responds to external input to generate a quantified value through the evaluation list. Evaluation information; comparing the evaluation information with the pre-stored predetermined value, when the evaluation information does not match the predetermined value, a correction alert is generated; the correction alert is a condition for the match module The list, as well as the schedule of the course coordination module, generates notifications that need to be amended. According to the adaptable intelligent student learning and employment matching method described in item 7 of the scope of patent application, the achievement information further includes a trait achievement, a character achievement, and a health information, and the trait achievement is provided by a tutor The room referrer responds to external input to generate students. The character achievement is generated by an academic office and responds to external input to respond to students. The health information is generated by a medical referrer to respond to students and responds to external input.