TWI729270B - Adaptive smart learning and employment matching system and method thereof for students - Google Patents
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本發明係關於一種可適化〔adaptive〕智能型學生學習與就業媒合〔learning and employment matching〕系統及其方法;特別是關於一種利用適配學生與廠商之可適化智能型學生學習與就業媒合系統及其方法。 The present invention relates to an adaptable intelligent student learning and employment matching system and method thereof; in particular, it relates to an adaptable intelligent student learning and employment matching system and its method using adaptable students and manufacturers Matching system and its method.
習用就業競爭力評鑑處理之相關技術,例如:中華民國專利公開第TW-201101208號之〝就業競爭力評鑑方法〞發明專利申請案,其揭示一種就業競爭力評鑑方法。該就業競爭力評鑑方法包含:步驟A、在一分數資料庫中,根據數個職類在數個職務條件能力之數個條件項目的市場需求比率,計算各該職務條件能力之各該條件項目在各該職類下的數個競爭力分數,進而藉此建立一競爭力分數對照表。 Relevant technologies used in the evaluation and processing of employment competitiveness, such as the "Employment Competitiveness Evaluation Method" invention patent application of the Republic of China Patent Publication No. TW-201101208, which reveals a method for evaluating employment competitiveness. The employment competitiveness evaluation method includes: Step A. In a score database, calculate the condition and ability of each job according to the market demand ratio of several condition items of several job categories in several job conditions. The project has several competitiveness scores in each category, and then builds a comparison table of competitiveness scores.
承上,前述公開第TW-201101208號之該就業競爭力評鑑方法包含:步驟B、根據該些競爭力分數計算同一該職務條件能力之各該條件項目在同一該職類下的一第一競爭力百分等級〔PR value〕,進而與其對應之該競爭力分數建立一競爭力百分等級表,且其預設有一標準競爭力百分等級。 Continuing, the employment competitiveness evaluation method of the aforementioned publication No. TW-201101208 includes: Step B. According to the competitiveness scores, calculate each of the qualification items of the same job qualification and ability to be a first in the same category. Competitiveness percentile level [PR value], and then establish a competitiveness percentile level table with its corresponding competitiveness score, and it presets a standard competitiveness percentile level.
承上,前述公開第TW-201101208號之該就業競爭力評鑑方法包含:步驟C、將數個求職者具備初始的各該職務條件能力之該條件項目存入一履歷資料庫中,且 該分數資料庫連接於該履歷資料庫,透過比對該履歷資料庫儲存的資料與該競爭力百分等級表,經由每一該求職者具備初始的各該職務條件能力之該條件項目,取出其在至少一該欲應徵職類下之該競爭力分數及其對應之該第一競爭力百分等級。 Continuing, the employment competitiveness evaluation method of the aforementioned Publication No. TW-201101208 includes: Step C, storing the condition items of the initial qualifications and capabilities of the job applicants for each job in a resume database, and The score database is connected to the resume database, and by comparing the data stored in the resume database with the competitiveness percentage rating table, each job applicant has the initial condition items of the job condition ability to retrieve The competitiveness score and its corresponding first competitiveness percentage rank under at least one job category to be applied for.
承上,前述公開第TW-201101208號之該就業競爭力評鑑方法包含:步驟D、透過每一該求職者取得低於該標準競爭力百分等級之該第一競爭力百分等級,針對其對應之該職務條件能力提供一改善建議。 In continuation, the employment competitiveness evaluation method of the aforementioned publication No. TW-201101208 includes: step D, through each job applicant to obtain the first competitiveness percentage level lower than the standard competitiveness percentage level, and aim at It provides an improvement suggestion corresponding to the job condition and ability.
另一習用職涯發展教學處理之相關技術,例如:中華民國專利公告第TW-I533252號之〝職涯發展教學設備及其方法〞發明專利,其揭示一種職涯發展教學設備。該職涯發展教學設備包含一學科資訊整合平台及一教材平台,而該學科資訊整合平台包含一課程單元、一門檻單元、一學程紀錄單元、一報表單元及一實境平台。 Another related technology for learning and teaching career development, such as the invention patent of "Career Development Teaching Equipment and Methods" of the Republic of China Patent Publication No. TW-I533252, which discloses a teaching equipment for career development. 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.
承上,前述公告第TW-I533252號之該學科資訊整合平台供一使用端選擇一職業別,而該教材平台可供儲存該科目之教學資訊。該課程單元可供顯示符合該使用端所選取的職業別之相關科系及科目,而該門檻單元可供顯示欲從該科系畢業所需達到之條件,且該學程紀錄單元可供紀錄使用端於各該科目學習狀態,且該報表單元可供顯示使用端目前尚未完成該門檻單元之條件,且該實境平台可供顯示該學科資訊整合平台內之職業別所屬環境。 In addition, 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 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 requirements for graduation from the department, and the course record unit can be used for recording The user terminal is used for the learning status of each subject, and the report unit can be used to show that the user terminal has not yet completed the conditions of the threshold unit, and the reality platform can be used to display the occupational environment in the subject information integration platform.
另一習用選課輔導處理之相關技術,例如:中華民國專利公告第TW-I508017號之〝選課輔導系統與方法〞發明專利,其揭示一種選課輔導方法。該選課輔導方法包含:一職務選擇步驟,其用以選擇職務;一對應課程顯示步驟,其用以顯示一使用者所選擇職務對應可修讀的課程;一課程選擇步驟,其用以供該使用者選擇欲進行修 讀的課程;一已修課程顯示步驟,其顯示該使用者已完成各職務所需課程的比例或是用以顯示該使用者已完成各職務所需課程的比例。 Another related technology for learning course selection counseling, such as the invention patent of "Course selection counseling system and method" of the Republic of China Patent Announcement No. TW-I508017, which discloses a course selection counseling method. The course selection guidance method includes: a job selection step, which is used to select a job; a corresponding course display step, which is used to display the courses that can be taken corresponding to the job selected by a user; a course selection step, which is used for the The user chooses to repair Courses read; a display step of courses taken, which shows the proportion of courses required by the user to complete each job or to display the proportion of courses required by the user to complete each job.
承上,前述公告第TW-I508017號揭示一種選課輔導系統。該選課輔導系統包含一資料庫、一網頁介面手段、一課程顯示手段、一選擇課程手段及一已修課程顯示手段。該資料庫用以儲存數筆職務及數筆課程,而各該職務與部份該些課程彼此對應連結,且各該職務係被對應分類至數個職務領域中的其中一個領域,各該職務領域被分類至數個類別中的其中一類別。該網頁介面手段提供該使用者透過網頁對該資料庫執行職務選擇作業,而該課程顯示手段顯示對於所選之職務所對應之課程,且該選擇課程手段由該使用者選擇欲選取的課程,且該已修課程顯示手段用以顯示該使用者已完成各職務所需課程的比例,或用以顯示該使用者已完成各職務所需課程的比例。 In conclusion, the aforementioned announcement No. TW-I508017 discloses a course selection guidance system. The course selection guidance system includes a database, a web interface method, a course display method, a course selection method, and a completed course display method. The database is used to store several positions and several courses, and each of the positions and some of these courses are correspondingly linked to each other, and each of the positions is correspondingly classified into one of several job fields, and each of the positions The domain is classified into one of several categories. The web interface means provides the user to perform job selection operations on the database through the web page, and the course display means displays the courses corresponding to the selected job, and the course selection means allows the user to select the course to be selected. In addition, the course display means is used to display the proportion of courses required by the user to complete each job, or to display the proportion of courses required by the user to complete each job.
然而,前述中華民國專利公開第TW-201101208號之〝就業競爭力評鑑方法〞、公告第TW-I533252號之〝職涯發展教學設備及其方法〞及公告第TW-I508017號之〝選課輔導系統與方法〞之個別相關技術發展上必然仍存在進一步改良或整合之潛在需求。 However, the aforementioned ROC Patent Publication No. TW-201101208 "Employment Competitiveness Evaluation Method", Announcement No. TW-I533252, "Career Development Teaching Equipment and Methods", and Announcement No. TW-I508017, "Course Selection Guidance" The development of individual related technologies of "Systems and Methods" will inevitably still have potential demands for further improvement or integration.
另一習用應徵候選人員處理之相關技術,例如:美國專利公開第US-20140122355號之〝Identifying Candidates for Job Openings Using a Scoring Function Based on Features in Resumes and Job Descriptions〞發明專利申請案,其揭示一種應徵候選人員計分技術,但其無關預先課程規畫、後續學習成就或後續職場符合度評估技術。 Another related technology used in the processing of candidate candidates, for example: US Patent Publication No. US-20140122355 "Identifying Candidates for Job Openings Using a Scoring Function Based on Features in Resumes and Job Descriptions" invention patent application, which discloses an application Candidate scoring technology, but it has nothing to do with pre-curriculum planning, follow-up learning achievement or follow-up workplace compliance assessment technology.
另一習用線上招募或顧用人員處理之相關技術,例如:美國專利公開第US-20140032436號之〝System for Facilitation of Recruitment or Hiring on an Online Interface and Methods Thereof〞發明專利申請案,其揭示一種線上招募或顧用人員系統及其方法,但其無關預先課程規畫、後續學習成就或後續職場符合度評估技術。 Another related technology used for online recruitment or consulting personnel processing, for example: "System for Facilitation of Recruitment or Hiring on an Online" in US Patent Publication No. US-20140032436 The Interface and Methods Thereof "invention patent application case reveals an online recruitment or management system and its method, but it has nothing to do with pre-course planning, follow-up learning achievements or follow-up workplace compliance assessment technology.
另一習用技能匹配資訊處理之相關技術,例如:美國專利公開第US-20030177049號之〝Skill Matching Information Providing Method〞發明專利申請案,其揭示一種技能匹配資訊提供方法,但其無關預先課程規畫、後續學習成就或後續職場符合度評估技術。 Another related technology of conventional skill matching information processing, for example: US Patent Publication No. US-20030177049 "Skill Matching Information Providing Method" invention patent application, which discloses a method of providing skill matching information, but it has nothing to do with pre-course planning , Follow-up learning achievement or follow-up workplace compliance assessment technology.
然而,前述美國專利公開第US-20140122355號之〝應徵候選人員計分技術〞、公開第US-20140032436號之〝線上招募或顧用人員系統及其方法〞及公開第US-20030177049號之〝技能匹配資訊提供方法〞皆未提供有關預先課程規畫、後續學習成就或後續職場符合度評估技術,因此其個別相關技術發展上必然仍存在進一步改良或整合之潛在需求。 However, the aforementioned U.S. Patent Publication No. US-20140122355 "Candidate Scoring Technology", "Online Recruitment or Advising Personnel System and Method" of Publication No. US-20140032436, and "Skills" of Publication No. US-20030177049 The matching information provision method" does not provide relevant pre-curriculum planning, follow-up learning achievement or follow-up workplace conformity assessment technology, so there is bound to be a potential demand for further improvement or integration in the development of individual related technologies.
前述美國專利公開第US-20140122355號、公開第US-20140032436號及公開第US-20030177049號、中華民國專利公開第TW-201101208號發明專利申請案、公告第TW-I508017號發明專利及公告第TW-I533252號發明專利僅為本發明技術背景之參考及說明目前技術發展狀態而已,其並非用以限制本發明之範圍。 The aforementioned U.S. Patent Publication No. US-20140122355, Publication No. US-20140032436 and Publication No. US-20030177049, Republic of China Patent Publication No. TW-201101208 Invention Patent Application, Publication No. TW-I508017 Invention Patent and Publication No. TW The invention patent No. I533252 is only a reference for the technical background of the present invention and an explanation of the current state of technology development, and is not intended to limit the scope of the present invention.
有鑑於此,本發明為了滿足上述需求,其提供一種可適化智能型學生學習與就業媒合系統及其方法,其於數個學生或受訓者與數個廠商或人力派遣業者之間利用一成就資料庫、一學習與就業媒合模組、一課程協調模組及一評核模組進行產生一課程規畫路徑、一學習成就資料及一符合度評估指數,且將該成就資料庫、學習與就業媒合模組、課程協調模組及評核模組配置於一學習平台或一線上學習平台上,以便大幅提升學生學習與就業媒合效率 及方便性。 In view of this, in order to meet the above-mentioned needs, the present invention provides an adaptable and intelligent student learning and employment matching system and method thereof, which utilizes a system between several students or trainees and several manufacturers or manpower dispatchers. Achievement database, a learning and employment matching module, a course coordination module and an evaluation module generate a course planning path, a learning achievement data and a conformity evaluation index, and the achievement database, The learning and employment matching module, the course coordination module and the evaluation module are configured on a learning platform or an online learning platform to greatly improve the efficiency of student learning and employment matching And convenience.
本發明之主要目的係提供一種可適化智能型學生學習與就業媒合系統及其方法,其於數個學生或受訓者與數個廠商或人力派遣業者之間利用一成就資料庫、一學習與就業媒合模組、一課程協調模組及一評核模組進行產生一課程規畫路徑、一學習成就資料及一符合度評估指數,且將該成就資料庫、學習與就業媒合模組、課程協調模組及評核模組配置於一學習平台或一線上學習平台上,以達成提升學生學習與就業媒合效率及方便性之目的。 The main purpose of the present invention is to provide an adaptable and intelligent student learning and employment matching system and its method, which uses an achievement database and a learning method between several students or trainees and several manufacturers or labor dispatch companies. Produce a course planning path, a learning achievement data and a conformity evaluation index with the employment matching module, a course coordination module and an evaluation module, and the achievement database, learning and employment matching model will be combined The group, course coordination module and evaluation module are configured on a learning platform or an online learning platform to achieve the purpose of improving the efficiency and convenience of student learning and employment matching.
為了達成上述目的,本發明較佳實施例之可適化智能型學生學習與就業媒合系統包含:一學習平台,其連接數個廠商裝置、至少一教育管理者裝置及數個學習記錄裝置;一成就資料庫,其配置於該學習平台上,並利用該成就資料庫彙整數個學生之數個學習成就資料,且該成就資料庫用以儲存數個該學習成就資料;一學習與就業媒合模組,其配置於該學習平台上,且數個廠商經由該學習與就業媒合模組輸入至少一條件資料;一課程協調模組,其配置於該學習平台上,並利用該課程協調模組依該條件資料產生至少一課程規畫路徑及至少一系列對應課程,且允許該廠商進行調整該一系列對應課程;及一評核模組,其配置於該學習平台上,且利用該學習成就資料經由該評核模組產生至少一排序資料或一符合度評估指數。 In order to achieve the above objective, the adaptable and intelligent student learning and employment matching system of the preferred embodiment of the present invention includes: a learning platform connected to several manufacturers' devices, at least one education manager's device and several learning recording devices; An achievement database, which is configured on the learning platform, and uses the achievement database to collect a number of learning achievement data of a whole number of students, and the achievement database is used to store a number of the learning achievement data; a learning and employment media Integration module, which is configured on the learning platform, and several manufacturers input at least one condition data through the learning and employment matching module; a course coordination module, which 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 based on the conditional data, and allows the manufacturer to adjust the series of corresponding courses; and an evaluation module, which is configured on the learning platform and uses the The learning achievement data generates at least one ranking data or a conformity evaluation index through the evaluation module.
為了達成上述目的,本發明較佳實施例之可適化智能型學生學習與就業媒合方法包含: 於一學習平台或一線上學習平台上數個廠商或數個人力派遣業者經由一學習與就業媒合模組輸入至少一條件資料;於該學習平台或線上學習平台上利用一課程協調模組依該條件資料產生至少一課程規畫路徑及至少一系列對應課程,並允許該廠商或人力派遣業者進行調整該一系列對應課程;於該學習平台或線上學習平台上利用一成就資料庫彙整數個學生或受訓者之數個學習成就資料;於該學習平台或線上學習平台上利用該學習成就資料經由一評核模組產生至少一排序資料或一符合度評估指數。 In order to achieve the above objective, the adaptive and intelligent student learning and employment matching method of the preferred embodiment of the present invention includes: Enter at least one condition data through a learning and employment matching module on a learning platform or an online learning platform from a number of manufacturers or individual force dispatchers; use a course coordination module on the learning platform or online learning platform to follow The conditional data generates at least one course planning path and at least a series of corresponding courses, and allows the manufacturer or manpower dispatcher to adjust the series of corresponding courses; use an achievement database on the learning platform or online learning platform to collect a whole number Several learning achievement data of students or trainees; using the learning achievement data on the learning platform or online learning platform to generate at least one ranking data or a conformity evaluation index through an evaluation module.
本發明之另一目的在提供一種可適化智能型學生學習與就業媒合系統及其方法,不僅自動化的適配學生的意願與廠商的需求,並且能讓廠商為了產業的實務需求參與課程組合的安排,進一步還具有評核的機制,以修正與微調系統中之條件表列以及課程表列。 Another purpose of the present invention is to provide an adaptable and intelligent student learning and employment matching system and method thereof, which not only automatically adapts students’ wishes and the needs of manufacturers, but also allows manufacturers to participate in the curriculum combination for the practical needs of the industry. In addition, there is also an evaluation mechanism to modify and fine-tune the list of conditions and the list of courses in the system.
本發明係關於一種可適化智能型學生學習與就業媒合系統,係用以適配數個學生以及數個廠商,並使該等學生對應每一個廠商產生就業的排序,可適化智能型學生學習與就業媒合系統係包含成就資料庫、以及媒合模組。 The present invention relates to an adaptable and intelligent student learning and employment matching system, which is used to adapt several students and several manufacturers, and make these students corresponding to each manufacturer’s employment order, which can be adapted to the intelligent type. The Department of Student Learning and Employment Matching System includes an achievement database and a matching module.
成就資料庫中對應每一個學生係具有數個成就資訊。媒合模組係包含條件介面、條件表列、以及適配單元。條件表列係包含數個條件資訊並對應呈現於條件介面,這些條件資訊係分別對應前述多個成就資訊,條件介面回應該等中之一個廠商對應其所要的條件資訊輸入權值,藉以產生相對應之條件權值訊號,適配單元係耦接於成就資料庫,以這些條件權值訊號對所對應之成就資訊分 別權值化,以對每一位學生組合產生相對應之排序資訊。 There are several pieces of achievement information corresponding to each student department in the achievement database. The matching module includes a condition interface, a condition list, and an adaptation unit. The condition list contains several condition information and is correspondingly presented on the condition interface. These condition information respectively correspond to the aforementioned multiple achievement information. The condition interface responds to the input weight of one of the manufacturers corresponding to the condition information required to generate the corresponding condition information. Corresponding condition weight signals, the adaptation unit is coupled to the achievement database, and the corresponding achievement information is divided by these condition weight signals. Individually weighted to generate corresponding ranking information for each student combination.
接續,可適化智能型學生學習與就業媒合系統再根據多個學生之這些排序資訊,對應眾多廠商中之一個廠商進行排序,以產生此廠商所需的就業排序。 Then, the adaptable and intelligent student learning and employment matching system will then sort according to the sorting information of multiple students to correspond to one of the many manufacturers, so as to generate the job sorting required by this manufacturer.
如前述之可適化智能型學生學習與就業媒合系統,其中所述數個成就資訊係進一步包含成績成就資訊,成績成就資訊係對應課程組合以產生。可適化智能型學生學習與就業媒合系統進一步包含課程協調模組,課程協調模組再進一步包含課程介面、以及課程表列。課程表列係包含數個課程資訊並呈現於課程介面,課程介面回應廠商針對課程資訊之輸入以對應產生課程選定資訊,組合所有之課程選定資訊,進而產生所述之課程組合。 As in the aforementioned adaptable and intelligent student learning and employment matching system, the plurality of achievement information systems further include achievement information, and the achievement information systems are generated according to the course combination. The adaptable and intelligent student learning and employment matching system further includes a course coordination module, and the course coordination module further includes a course interface and a course schedule. The course list system contains several course information and is presented on the course interface. The course interface responds to the input of the course information by the manufacturer to generate course selection information correspondingly, and combines all the course selection information to generate the course combination.
如前述之可適化智能型學生學習與就業媒合系統,廠商所具有之員工係原為可適化智能型學生學習與就業媒合系統所述之學生,可適化智能型學生學習與就業媒合系統進一步包含評核模組,評核模組係包含評核介面、以及評核表列。評核表列係對應呈現於評核介面,評核介面回應外部之輸入以透過評核表列產生量化之評核資訊。當評核資訊不符於預定值後,係產生修正警訊,修正警訊係針對媒合模組之條件表列、以及課程協調模組之課程表列,產生需修正之通知。 As the aforementioned adaptable and intelligent student learning and employment matching system, the employees owned by the manufacturer are originally the students described in the adaptable intelligent student learning and employment matching system, which can adapt the learning and employment of intelligent students The matchmaking system further includes an evaluation module, which includes an evaluation interface and an evaluation list. The evaluation list is correspondingly presented on the evaluation interface, and the evaluation interface responds to external input to generate quantitative evaluation information through the evaluation list. When the evaluation information does not meet the predetermined value, a correction warning is generated. The correction warning is a notification that needs to be corrected for the condition list of the matching module and the course list of the course coordination module.
本發明也係可適化智能型學生學習與就業媒合系統所實施之可適化智能型學生學習與就業媒合方法,可適化智能型學生學習與就業媒合方法係包含下列步驟:條件介面回應該等中之一個廠商對應條件資訊輸入權值,藉以產生相對應之條件權值訊號;以該等條件權值訊號對所對應之成就資訊權值化,以對學生組合產生相對應之排序資訊;以及根據該等學生之該等排序資訊,對應該等中之一個廠商進行排序,以產生所述就業的排序。 The present invention is also an adaptable intelligent student learning and employment matching method implemented by the adaptable intelligent student learning and employment matching system. The adaptable intelligent student learning and employment matching method includes the following steps: Conditions The interface responds to the input weights corresponding to the condition information of one of the manufacturers, so as to generate the corresponding condition weight signals; the corresponding achievement information is weighted by the condition weight signals to generate corresponding values for the student portfolio Sorting information; and according to the sorting information of the students, sorting corresponding to one of the manufacturers to generate the sorting of the employment.
如前述之可適化智能型學生學習與就業媒合方法,針對成就資訊中之成績成就資訊,可適化智能型學生學習與就業媒合方法進一步包含下列步驟:課程介面回應該廠商針對課程資訊之輸入以對應產生課程選定資訊;組合所有之課程選定資訊,進而產生所述之課程組合。 For example, the adaptable intelligent student learning and employment matching method mentioned above, for the achievement information in the achievement information, the adaptable intelligent student learning and employment matching method further includes the following steps: The course interface responds to the manufacturer’s course information The input is used to generate course selection information correspondingly; all the course selection information is combined to generate the course combination.
如前述之可適化智能型學生學習與就業媒合方法,針對廠商對員工的評核,可適化智能型學生學習與就業媒合方法進一步包含下列步驟:評核介面回應外部之輸入以透過評核表列產生量化之評核資訊;比對評核資訊與預儲之預定值,當評核資訊不符於預定值後,係產生修正警訊;以修正警訊係針對媒合模組之條件表列、以及課程協調模組之課程表列,產生需修正之通知。 For example, the adaptable intelligent student learning and employment matching method mentioned above, for the evaluation of the employees by the manufacturer, the adaptable intelligent student learning and employment matching method further includes the following steps: The evaluation interface responds to external input through 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 revised warning is generated; the revised warning is aimed at the match module The condition list and the course list of the course coordination module generate notifications that need to be revised.
因此,利用本發明所提供一種可適化智能型學生學習與就業媒合系統及其方法,不僅自動化的適配學生的意願與廠商的需求,並且能讓廠商為了產業的實務需求參與學校中課程組合的安排,進一步還具有評核的機制,以修正與微調可適化智能型學生學習與就業媒合系統中之條件表列以及課程表列。藉此,使產學合作更加密切,廠商不僅得到他們心目中的理想員工,學生也可以明確需努力的方向,根據自己的努力得到理想的工作機會。 Therefore, the use of the present invention provides an adaptable and intelligent student learning and employment matching system and method thereof, which not only automatically adapts students’ wishes and the needs of manufacturers, but also allows manufacturers to participate in school courses for the practical needs of the industry. The combination arrangement further has an evaluation mechanism to modify and fine-tune the condition list and course list in the intelligent student learning and employment matching system. In this way, the industry-university cooperation is closer, and manufacturers not only get their ideal employees, but students can also clarify the direction that needs to be worked hard and get ideal job opportunities based on their own efforts.
1‧‧‧學習平台 1‧‧‧Learning Platform
2‧‧‧廠商裝置 2‧‧‧Manufacturer device
3‧‧‧教育管理者裝置 3‧‧‧Education Manager Device
4‧‧‧學習記錄裝置 4‧‧‧Learning record device
10‧‧‧可適化智能型學生學習與就業媒合系統 10‧‧‧Adaptable and intelligent student learning and employment matching system
12‧‧‧學生 12‧‧‧student
13‧‧‧教師 13‧‧‧Teacher
14‧‧‧廠商 14‧‧‧Vendor
30‧‧‧成就資料庫 30‧‧‧Achievement Database
32‧‧‧媒合模組 32‧‧‧Matching Module
40‧‧‧成就資訊 40‧‧‧Achievement Information
42‧‧‧條件介面 42‧‧‧Conditions interface
44‧‧‧條件表列 44‧‧‧List of conditions
46‧‧‧適配單元 46‧‧‧Adaptation unit
48‧‧‧條件資訊 48‧‧‧Condition Information
49‧‧‧權值 49‧‧‧weight
4002‧‧‧成績成就資訊 4002‧‧‧Achievement information
4004‧‧‧特質成就 4004‧‧‧Trait Achievement
4006‧‧‧品格成就 4006‧‧‧Character Achievement
4008‧‧‧健康資訊 4008‧‧‧Health Information
50‧‧‧課程組合 50‧‧‧Course Combination
52‧‧‧課程協調模組 52‧‧‧Course Coordination Module
54‧‧‧課程介面 54‧‧‧course interface
56‧‧‧課程表列 56‧‧‧Course schedule
5602‧‧‧課程資訊 5602‧‧‧Course Information
58‧‧‧課程選定資訊 58‧‧‧Course selection information
60‧‧‧輔導室介面 60‧‧‧Counseling room interface
62‧‧‧教務處介面 62‧‧‧Interface of Academic Affairs Office
64‧‧‧醫務室介面 64‧‧‧Infirmary interface
70‧‧‧評核模組 70‧‧‧Assessment Module
72‧‧‧評核介面 72‧‧‧Evaluation interface
74‧‧‧評核表列 74‧‧‧ Evaluation List
76‧‧‧預定值 76‧‧‧Predetermined value
第1圖:本發明可適化智能型學生學習與就業媒合系統之示意圖。 Figure 1: A schematic diagram of the adaptable and intelligent student learning and employment matching system of the present invention.
第1A圖:本發明可適化智能型學生學習與就業媒合方法之流程示意圖。 Figure 1A: A schematic diagram of the flow chart of the present invention adaptable to intelligent student learning and employment matching method.
第2圖:本發明可適化智能型學生學習與就業媒合系統之示意圖。 Figure 2: A schematic diagram of the adaptable and intelligent student learning and employment matching system of the present invention.
第3圖:本發明採用條件介面之示意圖。 Figure 3: A schematic diagram of the conditional interface used in the present invention.
第4圖:本發明採用課程協調模組之示意圖。 Figure 4: A schematic diagram of the course coordination module used in the present invention.
第5圖:本發明採用評核模組之相關示意圖。 Figure 5: The relevant schematic diagram of the evaluation module adopted in the present invention.
第6圖:本發明可適化智能型學生學習與就業媒合方法之流程示意圖。 Figure 6: The flow diagram of the method for matching intelligent students' learning and employment according to the present invention.
第7圖:本發明採用廠商參與產生課程組合之流程示意圖。 Figure 7: A schematic diagram of the process of the present invention using the manufacturer to participate in generating a course combination.
第8圖:本發明採用廠商評核員工回饋修正警訊之流程示意圖。 Figure 8: The present invention adopts the process flow diagram of the manufacturer appraising the staff to feedback and correct the warning.
為了充分瞭解本發明,於下文將舉例較佳實施例並配合所附圖式作詳細說明,且其並非用以限定本發明。 In order to fully understand the present invention, preferred embodiments are exemplified below and described in detail with the accompanying drawings, and they are not intended to limit the present invention.
第1圖揭示本發明可適化智能型學生學習與就業媒合系統之示意圖;第2圖揭示本發明可適化智能型學生學習與就業媒合系統之示意圖;第4圖揭示本發明採用課程協調模組之示意圖;第5圖揭示本發明採用評核模組之相關示意圖。請參照第1、2、4及5圖所示,舉例而言,本發明可適化智能型學生學習與就業媒合系統10包含一學習平台1〔或線上學習平台〕、一成就資料庫30、一媒合模組32〔即學習與就業媒合模組〕、一課程協調模組52及一評核模組70,且該成就資料庫30、媒合模組32〔即學習與就業媒合模組〕、課程協調模組52及評核模組70配置於該學習平台1上。
Figure 1 discloses a schematic diagram of the adaptable and intelligent student learning and employment matching system of the present invention; Figure 2 discloses a schematic diagram of the adaptable and intelligent student learning and employment matching system of the present invention; Figure 4 discloses the use of courses in the present invention A schematic diagram of the coordination module; Figure 5 shows a schematic diagram of the evaluation module used in the present invention. Please refer to Figures 1, 2, 4 and 5. For example, the present invention can be adapted to the intelligent student learning and
請再參照第1圖所示,舉例而言,該學習平台1〔或線上學習平台〕連接數個廠商裝置2、至少一教育管理者裝置3及數個學習記錄裝置4,且該廠商裝置2、教育管理者裝置3及學習記錄裝置4選自一具計算機功能之裝置〔例如:筆記型電腦〕或一具行動通訊功能之裝置〔例如:智慧型手機〕。
Please refer to Figure 1 again. For example, the learning platform 1 (or online learning platform) is connected to several manufacturers’
請再參照第1圖所示,舉例而言,該廠商裝置
2可供數個廠商14〔或人力派遣業者〕進行操作,而該教育管理者裝置3可供數個教師13〔或其它教育管理者〕進行操作,且該學習記錄裝置4可供數個該教師13〔或學習記錄者,例如:職員〕依數個學生12〔或受訓者〕之學習狀態進行操作記錄。
Please refer to Figure 1 again. For example, the manufacturer’s
第1A圖揭示本發明可適化智能型學生學習與就業媒合方法之流程示意圖,其可用以實施第1圖揭示之可適化智能型學生學習與就業媒合系統。請參照第1及1A圖所示,舉例而言,本發明可適化智能型學生學習與就業媒合方法包含步驟S1:首先,於該學習平台1〔或線上學習平台〕上數個該廠商14〔或人力派遣業者〕經由該媒合模組32〔即學習與就業媒合模組或具類似功能的模組〕輸入至少一條件資料〔例如:企業所需專長〕。 Figure 1A shows the flow diagram of the adaptable intelligent student learning and employment matching method of the present invention, which can be used to implement the adaptable intelligent student learning and employment matching system disclosed in Figure 1. Please refer to Figures 1 and 1A. For example, the present invention can adapt to the intelligent student learning and employment matching method includes step S1: First, on the learning platform 1 (or online learning platform) several manufacturers 14 [or a manpower dispatching company] input at least one condition data [for example: expertise required by the enterprise] through the matching module 32 [ie, a learning and employment matching module or a module with similar functions].
請再參照第1及1A圖所示,舉例而言,本發明可適化智能型學生學習與就業媒合方法包含步驟S2:接著,於該學習平台1〔或線上學習平台〕上利用該課程協調模組52〔或具類似功能的模組〕依該條件資料產生至少一課程規畫路徑及至少一系列對應課程〔例如:大學一年級至四年級課程、碩士課程或博士課程〕,並允許該廠商14〔或人力派遣業者〕進行調整該一系列對應課程。 Please refer to Figures 1 and 1A again. For example, the present invention can adapt to the intelligent student learning and employment matching method includes step S2: Then, use the course on the learning platform 1 (or online learning platform) The coordination module 52 (or a module with similar functions) generates at least one course planning path and at least a series of corresponding courses (for example: first-year to fourth-year university courses, master's courses or doctoral courses) based on the conditional data, and allows The manufacturer 14 (or manpower dispatcher) adjusts the series of corresponding courses.
請再參照第1圖所示,舉例而言,該條件資料包含企業的人才職位所需技能、企業人才的職務、所需社團經驗或其它條件資料,並經由該課程協調模組52反覆調整該一系列對應課程,且將該條件資料經由該學習平台1〔或線上學習平台〕傳輸至數個該學生12〔或受訓者〕,以便數個該學生12〔或受訓者〕可依各種需求選擇該一系列對應課程。
Please refer to Figure 1 again. For example, the condition data includes the skills required for the talent position of the enterprise, the position of the enterprise talent, the required club experience or other condition data, and the
請再參照第1及1A圖所示,舉例而言,本發明可適化智能型學生學習與就業媒合方法包含步驟S3:接 著,於該學習平台1〔或線上學習平台〕上利用該成就資料庫30〔或具類似功能的資料庫〕彙整數個該學生12〔或受訓者〕之數個學習成就資料。 Please refer to Figures 1 and 1A again. For example, the method for matching learning and employment of intelligent students according to the present invention includes step S3: Therefore, use the achievement database 30 [or a database with similar functions] on the learning platform 1 [or online learning platform] to collect a number of learning achievement data of the student 12 [or trainee].
請再參照第1及1A圖所示,舉例而言,本發明可適化智能型學生學習與就業媒合方法包含步驟S4:接著,於該學習平台1〔或線上學習平台〕上利用該學習成就資料經由該評核模組70〔或具類似功能的模組〕產生至少一排序資料或一符合度評估指數〔舉例而言,學生學習歷程與路徑、學生考試的學習成效及成績、學生學習符合的企業職務達成度,例如:軟體工程師94%〔大學一年級至大學四年級的課程路徑〕、其學習成效83%〔各科平均〕、網路工程師88%、其學習成效95%〕。 Please refer to Figures 1 and 1A again. For example, the method for matching intelligent student learning and employment of the present invention includes step S4: Then, use the learning on the learning platform 1 (or online learning platform) Achievement data generates at least one ranking data or a conformity evaluation index through the evaluation module 70 (or a module with similar functions) (for example, student learning process and path, student exam learning effectiveness and results, student learning The degree of achievement of qualified corporate positions, such as: software engineer 94% (the course path from first-year to fourth-year university), 83% of its learning effectiveness (average of each subject), 88% of network engineer, 95% of its learning effectiveness].
請參照第2圖所示,其揭示本發明可適化智能型學生學習與就業媒合系統10之示意圖。本發明係關於一種可適化智能型學生學習與就業媒合系統10,係用以適配數個學生12〔或受訓者〕以及數個廠商14〔或人力派遣業者〕,並使數個該學生12對應每一個廠商14產生就業的排序。可適化智能型學生學習與就業媒合系統10係包含成就資料庫30、以及媒合模組32。
Please refer to FIG. 2, which discloses a schematic diagram of the adaptable and intelligent student learning and
請再參照第2圖所示,成就資料庫30中對應每一個學生12係具有數種成就資訊40,至少一種成就資訊40而以多種成就資訊40為佳,於此所述之成就資訊40在可適化智能型學生學習與就業媒合系統10中為一種量化的學生12履歷,例如各科成績等級、體能等級、技能等級、操行等級,甚至性格也可以分類並量化。媒合模組32係包含條件介面42、條件表列44、以及適配單元46。
Please refer to Figure 2 again. The
請參照第2及3圖所示,且第3圖揭示本發明條件介面42之示意圖。條件表列44係包含數個條件資訊48並對應呈現於條件介面42,這些條件資訊48係分別對
應該等成就資訊40。例如針對廠商14對一個設備工程師的職缺需求,廠商14透過條件介面42點選開立的條件資訊48可能為動手操作能力、理工科能力、品格特質是穩重、語言可中英對話,所對應的成就資訊40,就會是四肢健全等級、理工成績等級、性格安定度等級、中英語言等級。
Please refer to FIGS. 2 and 3, and FIG. 3 shows a schematic diagram of the
請再參照第2及3圖所示,該廠商14可分別的透過條件介面42來對條件資訊48輸入權值49,藉以產生相對應之條件權值訊號。適配單元46係耦接於成就資料庫30,以這些條件權值訊號對所對應之成就資訊40進行權值化,以對學生12組合產生相對應之排序資訊。就前例而言,廠商14對動手操作、理工科能力、品格特質是穩重、語言可中英對話四項條件資訊48的權值49設定為5、3、5、2,也就是產生的條件權值訊號為5、3、5、2,有一名學生12四肢健全等級、理工成績等級、性格安定度等級、中英語言程度等級分別為3.3、5.2、4.6、2.1,以這些條件權值訊號對所對應之成就資訊40權值化,即5*3.3+3*5.2+5*4.6+2*2.1=59.3,此59.3即為此位學生12之排序資訊。
Please refer to FIGS. 2 and 3 again. The
其中,可適化智能型學生學習與就業媒合系統10係根據數個該學生12之該等排序資訊,對應許多廠商14中之一個廠商14進行排序,以產生所述就業的排序。換句話說,每一個學生12對每一個廠商14都有專有的排序資訊,因此對這個廠商14來說,根據這麼多個排序資訊依序自高排到低,就是廠商14心目中學生12成為員工的優先順序,例如廠商14要招3名設備工程師的話,就可依序排出正取3名,在廠商14可接受的排序資訊大小以上的,都可依序列為備取。另外,不同的廠商14因為其所選取的條件資訊48以及權值49不盡相同,所以即使相同的
數個學生對每一個廠商14的排序也是不盡相同。
Among them, the adaptable and intelligent student learning and
請參照第2及4圖所示,且第4圖揭示本發明採用課程協調模組52之示意圖。針對這些成就資訊40的種類大略舉例而言,係可分為成績成就資訊4002、特質成就4004、品格成就4006、以及健康資訊4008,實際上要像前例所述之多種某某等級一般,分的愈詳細,適才就業的匹配就會愈理想。
Please refer to FIGS. 2 and 4, and FIG. 4 shows a schematic diagram of the
成就資訊40中最重要的其實還是成績成就資訊4002,其代表基礎的專業能力,於此尚可細分多科目等級作為成就資訊40的更細項,以成績成就資訊4002進一步描述該可適化智能型學生學習與就業媒合系統10的另外一個重要特色。成績成就資訊4002係對應課程組合50以產生,換句話說就是學生12在此課程組合50中上課所產生的成績。可適化智能型學生學習與就業媒合系統10進一步包含課程協調模組52,課程協調模組52進一步包含課程介面54、以及課程表列56,課程表列56係包含數個課程資訊5602並呈現於課程介面54,課程介面54回應廠商14針對課程資訊5602之輸入以對應產生課程選定資訊58,組合所有之課程選定資訊58,進而可產生所述之課程組合50。
The most important part of the
舉例而言,有個基金公司想聘任基金經理人,但一直覺得不管怎麼篩選,來的人都得經過一段額外的訓練才發現適不適用,例如希望他以excel的VBA程式來做大數據分析,所篩選的員工不管原本於學校中功課再好,來的人都不會寫VBA程式,所以廠商14依據學校的課程表列56發現確實有「excel程式語言實用課程」,只是以前開課在理工學院而非在財金系,廠商14可以透過課程介面54點選此課程資訊5602「excel程式語言實用課程」成為一個課程選定資訊58,廠商14甚至還可多點選其他的課
程資訊5602,再成為多個課程選定資訊58,把數個該廠商14所選定的課程選定資訊58組合在一起,就成了一個新的課程組合50。課程資訊5602如果是學校現有的就很簡單,甚至有可能特殊技術的課程不存在學校,則廠商14也可以請任職員工來擔任講師,在學校開立此課程作為課程組合50的一部分,如此所訓練出來的學生12就是廠商14能適用的員工候選人。
For example, a fund company wants to hire fund managers, but it always feels that no matter how it is screened, those who come will have to go through a period of additional training to find out whether it is suitable. For example, I hope he can use the excel VBA program to do big data analysis. No matter how good the work in the school, the selected employees will not write VBA programs. Therefore, the
再者,成就資訊40不是只有成績,在很多條件缺乏後,員工仍是無法勝任職場的工作。而不同的成就資訊40是產生於不同的學校單位或是外部單位。例如,代表個性與興趣的特質成就4004係由輔導室介面60對應學生12並回應外部輸入以產生,代表人格狀態的品格成就4006係由教務處介面62對應學生12並回應外部輸入以產生,代表生理狀況的健康資訊4008係由醫務室介面64對應學生12並回應外部輸入以產生。
Furthermore,
請參照第5圖所示,且第5圖揭示本發明採用評核模組70之相關示意圖。如前述之可適化智能型學生學習與就業媒合系統10,廠商14所具有之員工係對應可適化智能型學生學習與就業媒合系統10所述之學生12,因為員工即來自於以往學校中的學生12,往往廠商14於初期開始利用該可適化智能型學生學習與就業媒合系統10所發掘的員工未必最為適才貼切,問題可能出自於原始定義條件表列44或課程表列56時就發生瑕疵,必須給可適化智能型學生學習與就業媒合系統10一個理想的評核修正的自動化機制。所以,可適化智能型學生學習與就業媒合系統10進一步包含評核模組70,評核模組70係包含評核介面72、以及評核表列74,評核表列74係對應呈現於評核介面72,評核介面72回應外部廠商14考核部門人員之輸入,以透過評核表列74產生量化之評核資訊,當評核
資訊不符於預定值76後,係產生修正警訊。修正警訊係針對媒合模組32之條件表列44、以及課程協調模組52之課程表列56,產生需修正之通知。
Please refer to FIG. 5, and FIG. 5 discloses a schematic diagram of the present invention using the
例如,評核資訊為半年內專案完成日期超過期控日期的次數,預定值76為5次,所謂的不符這裡定義為超過,所以,當屆半年進行評核,發現逾期狀況超過5次時,就會發出修正警訊。當廠商14收到修正警訊後,雖然知道此員工不適任,但廠商14得以進一步檢討當初的條件表列44或課程表列56的安排可能不理想,進而得以檢討以修正條件表列44或課程表列56,至少可使未來招聘的員工更為適任。
For example, the evaluation information is the number of times the project completion date exceeds the period control date in half a year, and the
請參照第6圖所示,且第6圖本發明可適化智能型學生學習與就業媒合方法之流程圖。本發明也係前述可適化智能型學生學習與就業媒合系統10所實施之可適化智能型學生學習與就業媒合方法,係用以適配數個學生12以及數個廠商14,並使這些學生12對應每一個廠商14產生就業的排序,可適化智能型學生學習與就業媒合方法具有成就資料庫30,成就資料庫30中對應每一個學生12係具有數個成就資訊40中之至少一成就資訊40,可適化智能型學生學習與就業媒合方法並具有條件介面42,條件表列44係包含數個條件資訊48並對應呈現於條件介面42,這些條件資訊48係分別對應該等成就資訊40。可適化智能型學生學習與就業媒合方法係包含下列步驟:(S02)條件介面42回應該等中之一個廠商14對應該條件資訊48輸入權值49,藉以產生相對應之條件權值訊號;(S04)以該等條件權值訊號對所對應之成就資訊40權值化,以對學生12組合產生相對應之排序資訊;以及(S06)根據這些學生12之該等排序資訊,對應一個廠商14進行排序,以產生所述就業的排序。
Please refer to Fig. 6, and Fig. 6 is a flowchart of a method for matching learning and employment for intelligent students according to the present invention. The present invention is also the adaptable and intelligent student learning and employment matching method implemented by the aforementioned adaptable and intelligent student learning and
請參照第7圖所示,且第7圖揭示本發明廠商14參與產生課程組合50之流程圖。如前述之可適化智能型學生學習與就業媒合方法,其中該等成就資訊40係包含成績成就資訊4002,成績成就資訊4002係對應課程組合50以產生,課程表列56係包含數個課程資訊5602並呈現於課程介面54。可適化智能型學生學習與就業媒合方法進一步包含下列步驟:(S10)課程介面54回應廠商14針對課程資訊5602之輸入以對應產生課程選定資訊58;(S12)組合所有之課程選定資訊58,進而產生所述之課程組合50。
Please refer to FIG. 7, and FIG. 7 discloses a flow chart of the
請參照第8圖所示,且第8圖揭示本發明廠商14評核員工回饋修正警訊之流程圖。如前述之可適化智能型學生學習與就業媒合方法,廠商14所具有之員工係對應該可適化智能型學生學習與就業媒合方法所述之學生12,評核表列74係對應呈現於評核介面72,可適化智能型學生學習與就業媒合方法進一步包含下列步驟:(S20)評核介面72回應外部之輸入以透過評核表列74產生量化之評核資訊;(S22)比對評核資訊與預儲之預定值76;(S23)當評核資訊不符於預定值76後,係產生修正警訊;(S24)以修正警訊係針對媒合模組32之條件表列44、以及課程協調模組52之課程表列56,產生需修正之通知。
Please refer to Fig. 8, and Fig. 8 reveals the flow chart of the present invention that the
此外,如前述之可適化智能型學生學習與就業媒合方法,其中這些成就資訊40進一步包含特質成就4004、品格成就4006、以及健康資訊4008。特質成就4004係由輔導室介面60對應學生12並回應外部輸入以產生,品格成就4006係由教務處介面62對應學生12並回應外部輸入以產生,健康資訊4008係由醫務室介面64對應學生12並回應外部輸入以產生。
In addition, as in the aforementioned adaptable and intelligent student learning and employment matching method, the
因此,利用本發明所提供一種可適化智能型學生學習與就業媒合系統10與方法,不僅自動化的適配學生
12的意願與廠商14的需求,並且能讓廠商14為了產業的實務需求參與學校中課程組合50的安排,進一步還具有評核的機制,以修正與微調系統之條件表列44以及課程表列56,藉此,使產學合作更加密切,廠商14不僅得到他們心目中的理想員工,學生12也可以明確應努力的方向,根據自己的努力得到理想的工作機會。
Therefore, the adaptable and intelligent student learning and
前述較佳實施例僅舉例說明本發明及其技術特徵,該實施例之技術仍可適當進行各種實質等效修飾及/或替換方式予以實施;因此,本發明之權利範圍須視後附申請專利範圍所界定之範圍為準。本案著作權限制使用於中華民國專利申請用途。 The foregoing preferred embodiments only illustrate the present invention and its technical features. The technology of this embodiment can still be implemented with various substantially equivalent modifications and/or alternatives; therefore, the scope of rights of the present invention shall be subject to a patent application. The scope defined by the scope shall prevail. The copyright in this case is restricted to the use of patent applications in the Republic of China.
1‧‧‧學習平台 1‧‧‧Learning Platform
2‧‧‧廠商裝置 2‧‧‧Manufacturer device
3‧‧‧教育管理者裝置 3‧‧‧Education Manager Device
4‧‧‧學習記錄裝置 4‧‧‧Learning record device
12‧‧‧學生 12‧‧‧student
13‧‧‧教師 13‧‧‧Teacher
14‧‧‧廠商 14‧‧‧Vendor
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US20140122355A1 (en) * | 2012-10-26 | 2014-05-01 | Bright Media Corporation | Identifying candidates for job openings using a scoring function based on features in resumes and job descriptions |
CN106156935A (en) * | 2015-04-22 | 2016-11-23 | 董武斌 | A kind of enrollment based on Post Model, train, practise, device of obtaining employment |
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