TW201737221A - Knowledge point return on investment learning analyzing system and method thereof - Google Patents
Knowledge point return on investment learning analyzing system and method thereof Download PDFInfo
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本發明是有關於一種分析系統及其方法，特別是有關於一種依據測驗結果分析取得符合用戶端之能力程度且具有最高權重值的知識點，並提供給用戶端，以使用戶端可達到投資報酬較高的學習效果之知識點投資報酬學習分析系統及其方法。The invention relates to an analysis system and a method thereof, in particular to a knowledge point which is obtained according to a test result and which has the highest weight value according to the capability of the user end, and is provided to the user end, so that the user end can achieve the investment. Knowledge-based investment reward learning analysis system and method for higher learning performance.
一般來說，為了驗證學習的成效，多半需進行相對的測驗，測驗內容通常係以考試科目及考試範圍進行命題，而受測者則於一測驗時間內進行測驗。In general, in order to verify the effectiveness of learning, it is often necessary to conduct a relative test. The test content is usually based on the test subject and the test range, and the test subject is tested in a test time.
續言之，測驗結束後，等候測驗成績公布，最後再測驗成績進行訂正或檢討。然，此測驗方式僅能針對作錯的題目進行訂正而告誡自己不要再錯一樣的問題，卻無法了解自我學習不足的地方在哪，也無法知道最符合自己的學習方式為何。To be continued, after the test is over, wait for the test results to be announced and finally retest or review the test results. However, this test method can only correct the wrong subject and warn that you should not mistake the same problem, but you can't understand where the self-learning is, and you can't know the most suitable way of learning.
有鑑於上述習知之問題，本發明的目的在於提供一種知識點投資報酬學習分析系統及其方法，用以解決習知技術中所面臨之問題。In view of the above-mentioned problems, the present invention aims to provide a knowledge point investment reward learning analysis system and method thereof for solving the problems faced by the prior art.
基於上述目的，本發明係提供一種知識點投資報酬學習分析系統，其包含測驗模組及分析模組。測驗模組提供學習測驗至用戶端，學習測驗包含具有至少一知識點之至少一測驗試題，各知識點具有權重值及學習程度。分析模組依據具有能力程度之用戶端對應學習測驗之測驗結果，分析取得需加強且學習程度符合能力程度之至少一知識點，並於需加強且學習程度符合能力程度之至少一知識點中取得權重值最高之知識點。Based on the above object, the present invention provides a knowledge point investment reward learning analysis system, which comprises a test module and an analysis module. The test module provides a learning test to the user end, and the learning test includes at least one test question having at least one knowledge point, each knowledge point having a weight value and a learning level. The analysis module analyzes at least one knowledge point that needs to be strengthened and the degree of learning conforms to the capability level according to the test result of the user-side corresponding learning test with the degree of capability, and obtains at least one knowledge point that needs to be strengthened and the degree of learning conforms to the capability level. The knowledge point with the highest weight value.
較佳地，分析模組可提供對應權重值最高之知識點之教學資訊至用戶端。Preferably, the analysis module can provide teaching information corresponding to the knowledge point with the highest weight value to the user end.
較佳地，知識點投資報酬分析系統更可包含學習資料庫，其連結測驗模組及分析模組，且儲存至少一測驗試題及至少一教學資訊。Preferably, the knowledge point investment reward analysis system further includes a learning database, which is connected to the test module and the analysis module, and stores at least one test question and at least one teaching information.
較佳地，分析模組可依據用戶端對應標準測驗之測驗結果，分析對應用戶端之能力程度。Preferably, the analysis module can analyze the capability level of the corresponding user end according to the test result of the standard test corresponding to the user end.
較佳地，分析模組可依據用戶端對應複數個學習測驗之複數個測驗結果，分析對應用戶端之能力程度。Preferably, the analysis module can analyze the capability level of the corresponding user end according to the plurality of test results of the plurality of learning tests corresponding to the user end.
基於上述目的，本發明再提供一種知識點投資報酬學習分析方法，適用於知識點投資報酬學習分析系統，知識點投資報酬學習分析系統包含測驗模組及分析模組，知識點投資報酬學習分析方法包含下列步驟：提供包含具有至少一知識點之至少一測驗試題之學習測驗至用戶端，各知識點具有權重值及學習程度。依據用戶端對應學習測驗之測驗結果，分析取得需加強且學習程度符合能力程度之至少一知識點。取得需加強且學習程度符合能力程度之至少一知識點中權重值最高之知識點。Based on the above object, the present invention further provides a knowledge point investment reward learning analysis method, which is applicable to a knowledge point investment reward learning analysis system, and a knowledge point investment reward learning analysis system includes a test module and an analysis module, and a knowledge point investment reward learning analysis method. The method includes the following steps: providing a learning test including at least one test question having at least one knowledge point to the user end, each knowledge point having a weight value and a learning level. According to the test results of the user-side corresponding learning test, at least one knowledge point that needs to be strengthened and the degree of learning conforms to the ability is analyzed. Obtain the knowledge points with the highest weight value among at least one knowledge point that needs to be strengthened and the degree of learning is in accordance with the degree of ability.
較佳地，取得權重值最高之知識點後，知識點投資報酬學習分析方法更可包含下列步驟：提供對應權重值最高之知識點之教學資訊至用戶端。Preferably, after obtaining the knowledge point with the highest weight value, the knowledge point investment compensation learning analysis method may further comprise the following steps: providing teaching information corresponding to the knowledge point with the highest weight value to the user end.
較佳地，至少一測驗試題及至少一教學資訊可儲存於知識點投資報酬分析系統之學習資料庫中，學習資料庫連結測驗模組及分析模組。Preferably, at least one test question and at least one piece of teaching information may be stored in a learning database of the knowledge point investment reward analysis system, and the learning database is connected to the test module and the analysis module.
較佳地，知識點投資報酬學習分析方法更可包含下列步驟：提供標準測驗至用戶端。依據用戶端對應標準測驗之測驗結果，分析用戶端之能力程度。Preferably, the knowledge point investment reward learning analysis method further comprises the following steps: providing a standard test to the client. According to the test result of the corresponding standard test of the user end, the degree of the capability of the user end is analyzed.
較佳地，知識點投資報酬學習分析方法更可包含下列步驟：提供複數個學習測驗至用戶端。依據用戶端對應複數個學習測驗之複數個測驗結果，分析用戶端之能力程度。Preferably, the knowledge point investment reward learning analysis method further comprises the following steps: providing a plurality of learning tests to the client. According to the plurality of test results of the plurality of learning tests corresponding to the user end, the degree of capability of the user end is analyzed.
承上所述，本發明之知識點投資報酬學習分析系統可藉由分析用戶端對應學習測驗之測驗結果，找出需加強且符合用戶端能力程度的知識點，並進一步從中找出權重值最高的知識點，以提供用戶端學習，藉此達到提升學習投資報酬效果之功效。As described above, the knowledge point investment reward learning analysis system of the present invention can analyze the test results of the user-side corresponding learning test, find out the knowledge points that need to be strengthened and conform to the degree of the user's capabilities, and further find out the highest weight value. Knowledge points to provide user-side learning, thereby achieving the effect of improving the return on learning investment.
為利瞭解本發明之特徵、內容與優點及其所能達成之功效，茲將本發明配合圖式，並以實施例之表達形式詳細說明如下，而其中所使用之圖式，其主旨僅為示意及輔助說明書之用，未必為本發明實施後之真實比例與精準配置，故不應就所附之圖式的比例與配置關係解讀、侷限本發明於實際實施上的權利範圍。In order to understand the features, contents, and advantages of the present invention, and the advantages thereof, the present invention will be described in conjunction with the drawings, and the description of the embodiments will be described in detail below. The use of the present invention and the accompanying drawings are not necessarily the true proportions and precise configurations of the present invention. Therefore, the scope and configuration of the attached drawings should not be construed as limiting the scope of the invention.
本發明之優點、特徵以及達到之技術方法將參照例示性實施例及所附圖式進行更詳細地描述而更容易理解，且本發明或可以不同形式來實現，故不應被理解僅限於此處所陳述的實施例，相反地，對所屬技術領域具有通常知識者而言，所提供的實施例將使本揭露更加透徹與全面且完整地傳達本發明的範疇，且本發明將僅為所附加的申請專利範圍所定義。The advantages and features of the present invention, as well as the technical methods of the present invention, are described in more detail with reference to the exemplary embodiments and the accompanying drawings, and the present invention may be implemented in various forms and should not be construed as limited thereby. The embodiments of the present invention, and the embodiments of the present invention are intended to provide a more complete and complete and complete disclosure of the scope of the present invention, and The scope of the patent application is defined.
請參閱第1圖，其係為本發明之知識點投資報酬學習分析系統之方塊圖。如圖所示，本發明之知識點投資報酬學習分析系統100包含測驗模組110及分析模組120。Please refer to FIG. 1 , which is a block diagram of the knowledge point investment reward learning analysis system of the present invention. As shown, the knowledge point investment reward learning analysis system 100 of the present invention includes a test module 110 and an analysis module 120.
續言之，上述所提到之測驗模組110提供學習測驗至用戶端200，學習測驗包含具有至少一知識點之至少一測驗試題，各知識點具有權重值及學習程度；其中，學習測驗可包含具有至少一知識點之至少一測驗試題，亦即一個測驗試題可包含了一個以上的知識點，且各知識點互為相異；換言之，複數個測驗試題內也可能具有相同的知識點。Continuingly, the test module 110 mentioned above provides a learning test to the user terminal 200, and the learning test includes at least one test question having at least one knowledge point, each knowledge point has a weight value and a learning degree; wherein, the learning test can be At least one test question having at least one knowledge point is included, that is, one test question may include more than one knowledge point, and each knowledge point is different from each other; in other words, a plurality of test questions may have the same knowledge points.
而，分析模組120依據具有能力程度之用戶端200對應學習測驗之測驗結果，分析取得需加強且學習程度符合能力程度之至少一知識點，並於需加強且學習程度符合能力程度之至少一知識點中取得權重值最高之知識點。The analysis module 120 analyzes at least one knowledge point that needs to be strengthened and the degree of learning conforms to the ability level according to the test result of the user-side 200 corresponding learning test, and at least one of the degree of ability to be strengthened and the degree of learning is compatible. The knowledge point with the highest weight value is obtained in the knowledge point.
於實際應用本發明之知識點投資報酬學習分析系統100時，首先測驗模組110先提供一份學習測驗予用戶端200進行作答，用戶端200為用戶本身或是可進行作答之電子裝置，如智慧型手機、平板電腦、桌上型電腦等，在此並不予以線定。其中，學習測驗包含複數個測驗試題，各測驗試題具有至少一知識點，而各知識點則具有對應的權重值及學習程度。When the knowledge point investment reward learning analysis system 100 of the present invention is actually applied, the test module 110 first provides a learning test to the user terminal 200 for answering, and the user terminal 200 is the user itself or an electronic device that can perform answering, such as Smart phones, tablets, desktop computers, etc., are not fixed here. The learning test includes a plurality of test questions, each test question has at least one knowledge point, and each knowledge point has a corresponding weight value and a degree of learning.
接著，分析模組120對用戶端200之對應學習測驗之測驗答案進行核對，進而取得用戶端於該學習測驗之測驗結果，並進一步地依據該測驗結果進行分析，以取得用戶端200需加強且學習程度符合用戶端200之能力程度的至少一知識點。舉例而言，假設用戶端200之能力程度為中等，而經分析測驗結果後分析模組120取得1個高等知識點及3個中等知識點需要加強學習，此時，分析模組將會依據用戶端的中等能力程度從中取出3個中等知識點(因高等的知識點學習程度高出用戶端200的能力程度)，再進一步地由3個中等知識點中取出權重值最高者，而據以提供用戶端200學習該知識點之建議(或選項)；值得一提的是，假設符合用戶端200之中等能力程度且需加強的知識點有中等知識點及低等知識點時，分析模組120仍從該中等知識點及低等知識點中取出權重值最高者，而向用戶端200提出學習建議(或選項)。Then, the analysis module 120 checks the test answer of the corresponding learning test of the user terminal 200, and obtains the test result of the user end of the learning test, and further analyzes the test result according to the test result, so as to obtain the user terminal 200 needs to be strengthened. The learning level is at least one knowledge point in accordance with the degree of capability of the client 200. For example, it is assumed that the degree of capability of the client 200 is medium, and after analyzing the test result, the analysis module 120 obtains one higher knowledge point and three medium knowledge points, and needs to strengthen learning. At this time, the analysis module will be based on the user. The medium-level ability of the terminal is taken out from the three medium-knowledge points (the degree of learning of the higher-level knowledge points is higher than that of the user-side 200), and the highest weight value is further taken out from the three medium-knowledge points, and the user is provided accordingly. The end 200 learns the suggestion (or option) of the knowledge point; it is worth mentioning that the analysis module 120 still assumes that the knowledge points that meet the capability level of the client 200 and need to be strengthened have medium knowledge points and lower knowledge points. The highest weight value is taken from the medium knowledge point and the lower knowledge point, and the learning suggestion (or option) is presented to the client 200.
承上述，當用戶端200進行學習時，用戶端200每完成一個教學資訊之教學後，測驗模組110便提供對應之該知識點或該前置知識點之複習測驗。In the above, when the user terminal 200 performs learning, after the user terminal 200 completes teaching of the teaching information, the quiz module 110 provides a review test corresponding to the knowledge point or the pre-knowledge point.
續言之，分析模組120可依據用戶端200對應複習測驗之測驗結果，分析取得需加強之至少一知識點及分別對應至少一知識點之前置知識點，並據以分別提供對應之教學資訊。同樣地，若是測驗結果高於分析門檻，則不進行分析，並表示用戶端200完成該知識點或該前置知識點之加強教學，而可進行下一個知識點或前置知識點之教學，亦或是進行其他的學習測驗以找出其他需加強的知識點。In addition, the analysis module 120 can analyze and obtain at least one knowledge point to be strengthened and corresponding knowledge points corresponding to at least one knowledge point according to the test result of the review test corresponding to the user terminal 200, and provide corresponding teaching accordingly. News. Similarly, if the test result is higher than the analysis threshold, no analysis is performed, and the user terminal 200 completes the reinforcement of the knowledge point or the pre-knowledge point, and can perform the teaching of the next knowledge point or the pre-knowledge point. Or do other study tests to find other points of knowledge that need to be strengthened.
對應上述之能力程度，本發明主要有下述兩種方式界定，其中一種是以用戶端對應標準測驗之測驗結果，作為分析用戶端200能力程度之依據。Corresponding to the above-mentioned capability level, the present invention mainly defines the following two ways, one of which is the test result of the user-side corresponding standard test, as the basis for analyzing the capability level of the user terminal 200.
舉例來說，可提供用戶端200一份未公開的標準測驗，並以答對60%以上(基礎門檻)、75%以上(熟悉門檻)、90%以上(精熟門檻)或100%(完美門檻)作為判斷能力程度之依據。而分析模組120便會依據用戶端200的能力程度找出需加強且學習程度符合能力程度的知識點，並從中找出權重值最高的知識點供用戶端學習。For example, an unpublished standard test can be provided on the client side 200, with more than 60% (basic threshold), 75% or more (familiar threshold), more than 90% (fine threshold) or 100% (perfect threshold). ) as the basis for judging the degree of competence. The analysis module 120 finds the knowledge points that need to be strengthened and the degree of learning conforms to the capability level according to the capability level of the user terminal 200, and finds the knowledge points with the highest weight value for the user to learn.
而，另一種是以用戶端對應複數個學習測驗之複數個測驗結果，作為分析用戶端200能力程度之依據。On the other hand, the other test results of the plurality of learning tests corresponding to the user end are used as the basis for analyzing the degree of capability of the client 200.
舉例來說，可收集用戶端200進行過的複數個學習測驗之複數個測驗結果，並以答對60%以上(基礎門檻)、75%以上(熟悉門檻)、90%以上(精熟門檻)或100%(完美門檻)作為判斷能力程度之依據。而分析模組120便會依據用戶端200的能力程度找出需加強且學習程度符合能力程度的知識點，並從中找出權重值最高的知識點供用戶端學習。For example, a plurality of test results of a plurality of learning tests conducted by the client 200 may be collected, and more than 60% (basic threshold), 75% or more (familiar threshold), 90% or more (skilled threshold) or 100% (perfect threshold) is used as the basis for judging the ability. The analysis module 120 finds the knowledge points that need to be strengthened and the degree of learning conforms to the capability level according to the capability level of the user terminal 200, and finds the knowledge points with the highest weight value for the user to learn.
值得一提的是，本發明之知識點投資報酬學習分析系統100更可包含學習資料庫130，其用以儲存上述之至少一測驗試題及至少一教學資訊，以供測驗模組110產生學習測驗之用，或是供分析模組120提供對應知識點之教學資訊之用。其中，學習資料庫130亦可儲存(複數個)用戶端200之能力程度或其測驗結果，以供分析模組120應用。It is to be noted that the knowledge point investment reward learning analysis system 100 of the present invention may further include a learning database 130 for storing at least one test question and at least one teaching information for the test module 110 to generate a learning test. For use, or for the analysis module 120 to provide teaching information corresponding to the knowledge points. The learning database 130 can also store (multiple) the degree of capability of the client 200 or its test result for the analysis module 120 to apply.
儘管前述在說明本發明之知識點投資報酬學習分析系統的過程中，亦已同時說明本發明之知識點投資報酬學習分析方法的概念，但為求清楚起見，以下另繪示流程圖詳細說明。Although the foregoing description of the knowledge point investment reward learning analysis system of the present invention has also described the concept of the knowledge point investment reward learning analysis method of the present invention, for the sake of clarity, the flow chart will be described in detail below. .
請參閱第2至4圖；第2圖係為本發明之知識點投資報酬學習分析方法之第一流程圖；第3圖係為本發明之知識點投資報酬學習分析方法之第二流程圖；第4圖係為本發明之知識點投資報酬學習分析方法之第三流程圖。如圖所示，本發明之知識點投資報酬學習分析方法，適用於知識點投資報酬學習分析系統，知識點投資報酬學習分析系統包含測驗模組及分析模組，知識點投資報酬學習分析方法包含下列步驟：Please refer to Figures 2 to 4; Figure 2 is the first flow chart of the knowledge point investment compensation learning analysis method of the present invention; Figure 3 is the second flow chart of the knowledge point investment compensation learning analysis method of the present invention; Figure 4 is a third flow chart of the method for analyzing and learning investment rewards of the present invention. As shown in the figure, the knowledge point investment remuneration learning analysis method of the present invention is applicable to a knowledge point investment remuneration learning analysis system, and the knowledge point investment remuneration learning analysis system includes a test module and an analysis module, and the knowledge point investment remuneration learning analysis method includes The following steps:
在步驟S21中：提供包含具有至少一知識點之至少一測驗試題之學習測驗至用戶端，各知識點具有權重值及學習程度。In step S21, a learning test including at least one quiz test having at least one knowledge point is provided to the user end, and each knowledge point has a weight value and a learning level.
在步驟S22中：依據用戶端對應學習測驗之測驗結果，分析取得需加強且學習程度符合能力程度之至少一知識點。In step S22, according to the test result of the user-side corresponding learning test, at least one knowledge point that needs to be strengthened and the degree of learning conforms to the capability level is analyzed.
在步驟S23中：取得需加強且學習程度符合能力程度之至少一知識點中權重值最高之知識點。In step S23, the knowledge point with the highest weight value among the at least one knowledge point that needs to be strengthened and the degree of learning conforms to the capability level is obtained.
在步驟S24中：提供對應權重值最高之知識點之教學資訊至用戶端。In step S24, the teaching information corresponding to the knowledge point with the highest weight value is provided to the user end.
續言之，上述所提到之至少一測驗試題及至少一教學資訊可儲存於知識點投資報酬學習分析系統之學習資料庫中，學習資料庫連結測驗模組及分析模組。To be continued, at least one test question and at least one piece of teaching information mentioned above may be stored in a learning database of the knowledge point investment reward learning analysis system, and the learning database is connected to the test module and the analysis module.
承上述，本發明之知識點投資報酬學習分析方法的詳細說明以及實施方式已於前面敘述本發明之知識點投資報酬學習分析系統時描述過，在此為了簡略說明便不再贅述。In view of the above, the detailed description and implementation of the knowledge point investment reward learning analysis method of the present invention have been described in the foregoing description of the knowledge point investment reward learning analysis system of the present invention, and will not be described herein for the sake of brevity.
而，本發明一方面在用戶端進行學習測驗前，知識點投資報酬分析學習方法更可包含下列步驟：However, in the aspect of the present invention, before the user conducts the learning test, the knowledge point investment reward analysis learning method may further include the following steps:
在步驟S31中：提供標準測驗至用戶端。In step S31: a standard test is provided to the client.
在步驟S32中：依據用戶端對應標準測驗之測驗結果，分析用戶端之能力程度。In step S32, the degree of capability of the user end is analyzed according to the test result of the user-side corresponding standard test.
此外，本發明另一方面在用戶端進行學習測驗前，知識點投資報酬學習分析方法亦可包含下列步驟：In addition, in another aspect of the present invention, before the user conducts the learning test, the knowledge point investment reward learning analysis method may further include the following steps:
在步驟S41中：提供複數個學習測驗至用戶端。In step S41: a plurality of learning tests are provided to the client.
在步驟S42中：依據用戶端對應複數個學習測驗之複數個測驗結果，分析用戶端之能力程度。In step S42, the degree of capability of the user end is analyzed according to the plurality of test results of the plurality of learning tests corresponding to the user end.
承上所述，本發明之知識點投資報酬學習分析系統可藉由分析用戶端對應學習測驗之測驗結果，找出需加強且符合用戶端能力程度的知識點，並進一步從中找出權重值最高的知識點，以提供用戶端學習，藉此達到提升學習投資報酬效果之功效。As described above, the knowledge point investment reward learning analysis system of the present invention can analyze the test results of the user-side corresponding learning test, find out the knowledge points that need to be strengthened and conform to the degree of the user's capabilities, and further find out the highest weight value. Knowledge points to provide user-side learning, thereby achieving the effect of improving the return on learning investment.
以上所述之實施例僅係為說明本發明之技術思想及特點，其目的在使熟習此項技藝之人士能夠瞭解本發明之內容並據以實施，當不能以之限定本發明之專利範圍，即大凡依本發明所揭示之精神所作之均等變化或修飾，仍應涵蓋在本發明之專利範圍內。The embodiments described above are merely illustrative of the technical spirit and the features of the present invention, and the objects of the present invention can be understood by those skilled in the art, and the scope of the present invention cannot be limited thereto. That is, the equivalent variations or modifications made by the spirit of the present invention should still be included in the scope of the present invention.
100‧‧‧知識點投資報酬學習分析系統
110‧‧‧測驗模組
120‧‧‧分析模組
130‧‧‧學習資料庫
200‧‧‧用戶端
S21至S24、S31至S32、S41至S42‧‧‧步驟100‧‧‧Knowledge Point Investment Reward Learning Analysis System
110‧‧‧Test module
120‧‧‧Analysis module
130‧‧‧Learning database
200‧‧‧ Client
Steps S21 to S24, S31 to S32, S41 to S42‧‧
第1圖係為本發明之知識點投資報酬學習分析系統之方塊圖。 第2圖係為本發明之知識點投資報酬學習分析方法之第一流程圖。 第3圖係為本發明之知識點投資報酬學習分析方法之第二流程圖。 第4圖係為本發明之知識點投資報酬學習分析方法之第三流程圖。The first figure is a block diagram of the knowledge point investment reward learning analysis system of the present invention. The second figure is the first flow chart of the knowledge point investment compensation learning analysis method of the present invention. The third figure is the second flow chart of the knowledge point investment compensation learning analysis method of the present invention. Figure 4 is a third flow chart of the method for analyzing and learning investment rewards of the present invention.
100‧‧‧知識點投資報酬學習分析系統 100‧‧‧Knowledge Point Investment Reward Learning Analysis System
110‧‧‧測驗模組 110‧‧‧Test module
120‧‧‧分析模組 120‧‧‧Analysis module
130‧‧‧學習資料庫 130‧‧‧Learning database
200‧‧‧用戶端 200‧‧‧ Client
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