TWI797541B - Interactive record parsing method - Google Patents
Interactive record parsing method Download PDFInfo
- Publication number
- TWI797541B TWI797541B TW110102180A TW110102180A TWI797541B TW I797541 B TWI797541 B TW I797541B TW 110102180 A TW110102180 A TW 110102180A TW 110102180 A TW110102180 A TW 110102180A TW I797541 B TWI797541 B TW I797541B
- Authority
- TW
- Taiwan
- Prior art keywords
- interactive record
- record
- interactive
- records
- rule
- Prior art date
Links
Images
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Debugging And Monitoring (AREA)
- Stored Programmes (AREA)
Abstract
Description
本案係關於一種解析方法,尤指一種互動式記錄解析方法。This case relates to a method of parsing, especially an interactive record parsing method.
隨著以電腦為基礎的學習環境逐漸普及化,由電腦系統自動生成追蹤使用者活動及行為的記錄,允許研究者在不打斷學習者思考及瀏覽的情況下追蹤學習事件。更重要的是,此種方法可以虛擬地重現學習者的行為,以進一步瞭解學習者如何建構知識及使用系統。在電子學習中,順序及行為模式的提取有助於教育研究,例如評估學習者的活動並與預期的行為模式進行比較,以從中找出有助於成功的因素或模式。With the gradual popularization of computer-based learning environments, computer systems automatically generate records to track user activities and behaviors, allowing researchers to track learning events without interrupting learners' thinking and browsing. More importantly, this method can virtually reproduce the behavior of learners to further understand how learners construct knowledge and use the system. In e-learning, the extraction of sequences and behavioral patterns is helpful for educational research, such as evaluating learners' activities and comparing them with expected behavioral patterns to identify factors or patterns that contribute to success.
行為分析是順序及行為模式分析的基礎,目的是在於根據特徵或詳細的行為順序提取學習者的行為。一般而言,學習者與系統的互動日誌或專司記錄的應用軟體或語言可被用來進行行為分析。透過統計技術來提取並分析學習者的行為是最常見的作法,但往往只能反映出學習者的行為本身,而無法提供存在於日誌中的相關知識。此外,學習者執行的單一動作可能會被多個日誌所記錄,然而現有的統計技術沒有在分析之前,有效檢測或整合多個日誌中關於學習者的操作,無法充分表現學習者互動的豐富程度。Behavior analysis is the basis of sequence and behavior pattern analysis, and its purpose is to extract learners' behavior according to characteristics or detailed behavior sequences. In general, logs of learner interactions with the system or dedicated recording applications or language can be used for behavioral analysis. Extracting and analyzing learners' behavior through statistical techniques is the most common practice, but it often only reflects the learners' behavior itself, and cannot provide relevant knowledge existing in the log. In addition, a single action performed by a learner may be recorded by multiple logs. However, the existing statistical techniques cannot effectively detect or integrate the learner's operations in multiple logs before analysis, and cannot fully express the richness of learner interaction. .
簡單來說,針對電子學習以及使用者互動的豐富程度,現有技術無法滿足有效分析互動行為的需求。在電子學習的分層結構中,相似的互動可能因為所涉及的學習活動不同而存在不同的學習者行為,而現有技術無法充分分析並反映出此種複雜的層級關係。舉例來說,在日誌所記錄的不同順序可能可以實現相同的行為;或者在不同的任務或事件中,日誌所記錄的相同順序可能代表著不同的行為。顯而易見地,現有的記錄解析技術不具足夠的靈活性。另一方面,由於系統可能存在錯誤或網路延遲,使得日誌可能存在重複記錄或部分記錄遭到省略及順序錯亂等問題,但現有技術沒有一個專用的介面來檢視並整理日誌及調整規則,使得記錄解析工作混亂且不易處理。To put it simply, given the richness of e-learning and user interaction, existing technologies cannot meet the needs of effectively analyzing interactive behavior. In the hierarchical structure of e-learning, similar interactions may have different learner behaviors due to the different learning activities involved, but existing technologies cannot fully analyze and reflect this complex hierarchical relationship. For example, different orders of logging may achieve the same behavior; or in different tasks or events, the same order of logging may represent different behaviors. Clearly, existing record parsing techniques are not flexible enough. On the other hand, due to possible errors in the system or network delays, there may be problems such as repeated records or partial records being omitted and out of sequence in the logs. However, the existing technology does not have a dedicated interface to view and organize logs and adjust rules. Record parsing is messy and unwieldy.
故此,如何發展一種可有效解決前述先前技術之問題與缺點的互動式記錄解析方法,實為目前尚待解決的問題。Therefore, how to develop an interactive record analysis method that can effectively solve the problems and shortcomings of the aforementioned prior art is an unresolved problem.
本案之主要目的為提供一種互動式記錄解析方法,俾解決並改善前述先前技術之問題與缺點。The main purpose of this case is to provide an interactive record analysis method to solve and improve the problems and shortcomings of the aforementioned prior art.
本案之另一目的為提供一種互動式記錄解析方法,藉由互動式記錄解析器解析記錄並顯示解析結果於使用者介面,再建立規則套用至記錄以提取事件,不僅能確實反映記錄中的事件,也可以提供存在於記錄中的行為及相關知識,進而達到利於進行研究的功效。Another purpose of this case is to provide an interactive record analysis method. The interactive record parser parses the records and displays the analysis results on the user interface, and then creates rules and applies them to the records to extract events, which can not only accurately reflect the events in the records , can also provide the behavior and related knowledge existing in the records, and then achieve the effect of facilitating research.
本案之另一目的為提供一種互動式記錄解析方法,透過持續判斷提取要求並建立標記化規則,以及應用測試內容持續解析並監控結果,能有效滿足分析事件中互動行為的需求,且能針對不同的事件層級,有效地分析出實際行為並予以分類,進而可應對複雜的記錄並展現出電子學習及使用者互動的豐富程度,同時可以在記錄存在錯誤時予以檢出並分類顯示於使用者介面,達到有效簡化記錄並解析的功效。Another purpose of this case is to provide an interactive record analysis method. By continuously judging extraction requirements and establishing tokenization rules, and applying test content to continuously analyze and monitor results, it can effectively meet the needs of interactive behavior in analyzing events, and can target different The event level can effectively analyze and classify the actual behavior, and then it can deal with complex records and show the richness of e-learning and user interaction. At the same time, it can detect errors in the records and display them in the user interface by category , to effectively simplify recording and analysis.
為達上述目的,本案之一較佳實施態樣為提供一種互動式記錄解析方法,包括步驟:(a)提供一記錄保存庫及一互動式記錄解析器,其中該互動式記錄解析器包括一使用者介面;(b)允許該互動式記錄解析器解析該記錄保存庫中的複數個記錄,並將一解析結果顯示於該使用者介面;(c)建立至少一規則;(d)該互動式記錄解析器套用該規則解析該複數個記錄;以及(e)提取至少一事件。In order to achieve the above purpose, one of the preferred implementation forms of this case is to provide an interactive record analysis method, including the steps of: (a) providing a record storage library and an interactive record parser, wherein the interactive record parser includes a a user interface; (b) allow the interactive record parser to parse a plurality of records in the record repository and display a result of the analysis in the user interface; (c) create at least one rule; (d) the interactive A formula record parser applies the rule to parse the plurality of records; and (e) extracts at least one event.
為達上述目的,本案之一較佳實施態樣為提供一種互動式記錄解析方法,包括步驟:(a)提供一規則資料庫、一記錄解析器及一使用者介面;(b)允許該使用者介面與該記錄解析器及該規則資料庫互動,以至少建立一標記化規則,將該標記化規則儲存於該規則資料庫,並套用該標記化規則至該記錄解析器,且透過該使用者介面監控該記錄解析器之運作;(c)輸入複數個記錄至該記錄解析器;以及(d)該記錄解析器根據該標記化規則解析該複數個記錄,以提取至少一事件。In order to achieve the above purpose, one of the preferred implementation forms of this case is to provide an interactive record analysis method, including the steps of: (a) providing a rule database, a record resolver and a user interface; (b) allowing the use of interacting with the record parser and the rule database to create at least one tokenization rule, store the tokenization rule in the rule database, apply the tokenization rule to the record parser, and through the use (c) input a plurality of records to the record parser; and (d) the record parser parses the plurality of records according to the tokenization rule to extract at least one event.
體現本案特徵與優點的一些典型實施例將在後段的說明中詳細敘述。應理解的是本案能夠在不同的態樣上具有各種的變化,其皆不脫離本案的範圍,且其中的說明及圖示在本質上係當作說明之用,而非架構於限制本案。Some typical embodiments embodying the features and advantages of the present application will be described in detail in the description in the following paragraphs. It should be understood that this case can have various changes in different aspects, all of which do not depart from the scope of this case, and the descriptions and diagrams therein are used as illustrations in nature, rather than construed to limit this case.
請參閱第1圖,其係顯示本案一實施例之互動式記錄解析方法之流程圖。如第1圖所示,本案一實施例之互動式記錄解析方法係包括以下步驟。首先,如步驟S10所示,提供記錄保存庫及互動式記錄解析器,其中互動式記錄解析器包括使用者介面(User Interface)。其次,如步驟S20所示,允許互動式記錄解析器解析記錄保存庫中的複數個記錄,並將解析結果顯示於使用者介面,應特別注意的是此處所述的複數個記錄可以是從記錄保存庫中挑選出的樣本記錄(Sample Logs)。接著,如步驟S30所示,建立至少一規則,在一些實施例中,此步驟S30可包括將規則儲存於規則資料庫之子步驟,但不以此為限。然後,如步驟S40所示,互動式記錄解析器套用規則解析複數個記錄。再來,如步驟S50所示,提取至少一事件。應注意的是,於此段所提及的記錄(Logs)可以是關於一個系統中的指令記錄,在一學習系統中可以是學習者與學習系統的互動記錄,但不以此為限;此段所提及的事件可以是一個單純的行為或動作,例如觀看影片、點擊按鍵或結束學習等等,也可以是進行或完成一個單元或一個完整章節的學習內容,但皆不以此為限。藉由互動式記錄解析器解析記錄並顯示解析結果於使用者介面,再建立規則套用至記錄以提取事件,不僅能確實反映記錄中的事件,也可以提供存在於記錄中的行為及相關知識,進而達到利於進行研究的功效。Please refer to FIG. 1, which is a flow chart showing an interactive record analysis method according to an embodiment of the present case. As shown in FIG. 1, the interactive record analysis method of an embodiment of the present case includes the following steps. Firstly, as shown in step S10, a record storage library and an interactive record parser are provided, wherein the interactive record parser includes a user interface (User Interface). Secondly, as shown in step S20, the interactive record parser is allowed to parse multiple records in the record storage, and display the analysis results on the user interface. It should be noted that the multiple records described here can be obtained from The sample records (Sample Logs) selected from the record storage repository. Next, as shown in step S30, at least one rule is established. In some embodiments, this step S30 may include a sub-step of storing the rule in a rule database, but not limited thereto. Then, as shown in step S40, the interactive record parser applies rules to parse the plurality of records. Next, as shown in step S50, at least one event is extracted. It should be noted that the records (Logs) mentioned in this paragraph may refer to records of instructions in a system, and in a learning system may be records of interactions between learners and the learning system, but are not limited thereto; The event mentioned in the paragraph can be a simple behavior or action, such as watching a movie, clicking a button or ending the study, etc., or it can be the learning content of a unit or a complete chapter, but it is not limited to this . The interactive record parser parses the records and displays the analysis results on the user interface, and then creates rules and applies them to the records to extract events. It can not only reflect the events in the records, but also provide the behaviors and related knowledge existing in the records. In order to achieve the effect of facilitating research.
請參閱第2圖,其係顯示本案一實施例之互動式記錄解析方法之步驟S20之子步驟流程圖。如第2圖所示,本案之互動式記錄解析方法之步驟S20包括子步驟S24及子步驟S26,其中子步驟S24識別複數個記錄的複數個屬性,且子步驟S26將複數個屬性對應之複數個屬性名稱及複數個屬性數值轉換為複數個簡化解釋。也就是說,在步驟S20中,互動式記錄解析器解析記錄保存庫中的複數個記錄的過程中,互動式記錄解析器識別複數個記錄的複數個屬性,例如使用者名稱、操作指令、所在區段、課程、章節、活動及動作等等。然後,互動式記錄解析器將對應之複數個屬性名稱及複數個屬性數值轉換為複數個簡化解釋。Please refer to FIG. 2 , which is a flowchart showing the sub-steps of step S20 of the interactive record analysis method of an embodiment of the present case. As shown in Figure 2, step S20 of the interactive record analysis method in this case includes sub-step S24 and sub-step S26, wherein sub-step S24 identifies multiple attributes of multiple records, and sub-step S26 identifies the multiple attributes corresponding to multiple attribute names and plural attribute values into plural simplified explanations. That is to say, in step S20, when the interactive record parser parses the multiple records in the record storage repository, the interactive record parser recognizes the multiple attributes of the multiple records, such as user name, operation instruction, location Sections, lessons, chapters, activities and actions, and more. Then, the interactive record parser converts the corresponding plurality of attribute names and plurality of attribute values into a plurality of simplified explanations.
請參閱第3圖,其係顯示本案一實施例之互動式記錄解析方法之步驟S20之子步驟流程圖。如第3圖所示,本案之互動式記錄解析方法之步驟S20,在子步驟S24及子步驟S26之後,更包括子步驟S28,即將複數個記錄及對應複數個記錄之複數個簡化解釋整合為解析結果的步驟。簡單來說,互動式記錄解析器可以將複數個記錄簡化並整合為解析結果,以顯示於使用者介面供使用者觀看。應注意的是,此處所提及的使用者,可以是研究記錄保存庫中記錄的研究者,但一般不會是前述段落提及的學習者。Please refer to FIG. 3 , which is a flowchart showing the sub-steps of step S20 of the interactive record analysis method of an embodiment of the present case. As shown in Figure 3, step S20 of the interactive record analysis method in this case, after sub-step S24 and sub-step S26, further includes sub-step S28, which integrates multiple records and multiple simplified explanations corresponding to multiple records into Steps to parse the results. To put it simply, the interactive record parser can simplify and integrate multiple records into analysis results, which can be displayed on the user interface for users to watch. It should be noted that the users mentioned here may be the researchers recorded in the research record keeping database, but generally not the learners mentioned in the preceding paragraphs.
請參閱第4圖,其係顯示本案一實施例之互動式記錄解析方法之步驟S20之子步驟流程圖。如第4圖所示,本案之互動式記錄解析方法之步驟S20,在子步驟S24之前,可更包括子步驟S22,即互動式記錄解析器獲取事件列表的步驟。事件列表較佳是列舉了所有可能的事件,可以協助互動式記錄解析器更為精準地解析複數個記錄,但不以此為限。Please refer to FIG. 4 , which is a flowchart showing the sub-steps of step S20 of the interactive record analysis method according to an embodiment of the present case. As shown in FIG. 4, the step S20 of the interactive record analysis method of this case may further include a sub-step S22 before the sub-step S24, that is, a step for the interactive record parser to obtain the event list. The event list preferably enumerates all possible events, which can assist the interactive record parser to parse multiple records more accurately, but is not limited thereto.
請參閱第5圖並配合第1圖,其中第5圖係顯示本案之互動式記錄解析方法建立一標記化規則之示意圖。如第1圖及第5圖所示,在本案之互動式記錄解析方法中,每一個規則較佳為一標記化規則(Tokenization Rule),且規則資料庫較佳為一標記化規則資料庫,然皆不以此為限。此外,在步驟S30中,較佳是以是互動式記錄解析器根據複數個簡化解釋建立至少一個標記化規則的方式實現。簡單來說,當本案之互動式記錄解析方法應用在一個系統中,例如一個學習系統,是可以依照所述系統所儲存的記錄格式及邏輯去建立標記化規則,例如在一個記錄中擷取區段起始訊息S11及區段結束訊息S12,並建立一標記化規則。接著,套用此標記化規則至多個記錄中,可以在多個記錄中擷取到相對應的所有區段起始訊息S11及區段結束訊息S12,並整合在單一區段標記S1中顯示於使用者介面。Please refer to Figure 5 and cooperate with Figure 1, where Figure 5 is a schematic diagram showing the establishment of a tokenization rule by the interactive record analysis method of this case. As shown in Figures 1 and 5, in the interactive record analysis method of this case, each rule is preferably a tokenization rule (Tokenization Rule), and the rule database is preferably a tokenization rule database, However, it is not limited to this. In addition, in step S30, preferably, the interactive record parser establishes at least one tokenization rule according to a plurality of simplified interpretations. To put it simply, when the interactive record analysis method of this case is applied to a system, such as a learning system, tokenization rules can be established according to the record format and logic stored in the system, such as extracting the region in a record segment start message S11 and segment end message S12, and establish a marking rule. Then, apply this tokenization rule to multiple records, all corresponding segment start messages S11 and segment end messages S12 can be extracted from multiple records, and integrated into a single segment marker S1 for display in use interface.
相似地,本案之互動式記錄解析方法亦可在一個記錄中擷取章節起始訊息C11及章節結束訊息C12,並建立一標記化規則。接著,套用此標記化規則至多個記錄中,可以在多個記錄中擷取到相對應的所有章節起始訊息C11及章節結束訊息C12,並整合在單一章節標記C1中顯示於使用者介面。Similarly, the interactive record parsing method in this case can also extract the chapter start message C11 and chapter end message C12 from a record, and create a tokenization rule. Then, by applying the tokenization rule to multiple records, all the corresponding chapter start messages C11 and chapter end messages C12 can be extracted from the multiple records, and integrated into a single chapter marker C1 for display on the user interface.
當然,本案之互動式記錄解析方法也可以應用相似的方法擷取區段起始訊息S21、區段結束訊息S22、章節起始訊息C21、章節結束訊息C22、標題起始訊息T11以及標題結束訊息T12,並分別整合在區段標記S2、章節標記C2及標題標記T1中,於此不再贅述。值得一提的是,不論是區段標記S1,或是區段標記S2、章節標記C1、章節標記C2及標題標記T1,都可以視為一個事件,也就是說在步驟S50中,可以根據標記化規則自複數個記錄中提取至少一個事件。Of course, the interactive record analysis method in this case can also use a similar method to extract the section start message S21, section end message S22, chapter start message C21, chapter end message C22, title start message T11, and title end message T12, and are respectively integrated into the section mark S2, the chapter mark C2 and the title mark T1, which will not be repeated here. It is worth mentioning that whether it is a section mark S1, or a section mark S2, a chapter mark C1, a chapter mark C2, and a title mark T1, it can be regarded as an event, that is to say, in step S50, according to the mark The optimization rule extracts at least one event from the plurality of records.
當然,所述的事件不僅止於上述範例,也可以包括在不同系統中所有可能發生的事件。簡單來說,本案之互動式記錄解析方法可以簡單地系統化應用至各類型的系統,且其泛化(Generalization)能力好,可以應對至各系統的不同邏輯與記錄格式,且又提供使用者介面供使用者操作及瀏覽,具備良好的互動性。Of course, the events mentioned are not limited to the above-mentioned examples, and may also include all possible events in different systems. To put it simply, the interactive record analysis method in this case can be easily and systematically applied to various types of systems, and its generalization ability is good, which can cope with different logics and record formats of various systems, and provides users with The interface is for users to operate and browse, and has good interactivity.
請參閱第6圖,其係顯示本案一實施例之互動式記錄解析方法之流程圖。如第6圖所示,本案一實施例之互動式記錄解析方法,在步驟S50之後,係可包括步驟S60,即判斷事件是否滿足提取要求之步驟。在一些實施例中,每一個規則具有對應的至少一個提取要求。當步驟S60之判斷結果為否,於步驟S60之後重新執行步驟S20,也就是重新解析並建立規則,及其相對應且適當的提取要求。當步驟S60之判斷結果為是,在步驟S60之後係執行以下步驟:如步驟S70所示,選擇複數個重要元素作為測試內容。接著,如步驟S80所示,持續解析記錄保存庫並監控結果。然後,如步驟S90所示,判斷是否有錯誤發生。當步驟S90之判斷結果為是,於步驟S90之後係重新執行步驟S20,且當步驟S90之判斷結果為否,於步驟S90之後係重新執行步驟S80。其中,重要元素可以依照實際需求選用,以作為測試內容,用以測試前述步驟建立之規則是否能有效運用來解析記錄保存庫中的所有紀錄。Please refer to FIG. 6, which is a flowchart showing an interactive record analysis method according to an embodiment of the present case. As shown in FIG. 6 , the interactive record analysis method according to an embodiment of the present case may include step S60 after step S50 , which is a step of judging whether the event satisfies the extraction requirement. In some embodiments, each rule has a corresponding at least one extraction requirement. When the judgment result of step S60 is negative, step S20 is re-executed after step S60, that is, re-analyzing and establishing rules and corresponding and appropriate extraction requirements. When the judgment result of step S60 is yes, the following steps are executed after step S60: as shown in step S70, a plurality of important elements are selected as test content. Next, as shown in step S80, the record keeping library is continuously analyzed and the results are monitored. Then, as shown in step S90, it is judged whether an error occurs. When the judgment result of step S90 is yes, step S20 is re-executed after step S90, and when the judgment result of step S90 is no, step S80 is re-executed after step S90. Among them, important elements can be selected according to actual needs as test content to test whether the rules established in the preceding steps can be effectively used to analyze all records in the record storage library.
藉由上述說明可理解,本案之互動式記錄解析方法透過持續判斷提取要求並建立標記化規則,以及應用測試內容持續解析並監控結果,能有效滿足分析事件中互動行為的需求,且能針對不同的事件層級,有效地分析出實際行為並予以分類,進而可應對複雜的記錄並展現出電子學習及使用者互動的豐富程度,同時可以在記錄存在錯誤時予以檢出並分類顯示於使用者介面,達到有效簡化記錄並解析的功效。From the above description, it can be understood that the interactive record analysis method in this case can effectively meet the needs of analyzing interactive behavior in events by continuously judging extraction requirements and establishing tokenization rules, and applying test content to continuously analyze and monitor results. The event level can effectively analyze and classify the actual behavior, and then it can deal with complex records and show the richness of e-learning and user interaction. At the same time, it can detect errors in the records and display them in the user interface by category , to effectively simplify recording and analysis.
在一些實施例中,步驟S30係由使用者透過使用者介面實現,步驟S50係由互動式記錄解析器實現,且步驟S60係由互動式記錄解析器自動地實現或由使用者透過使用者介面實現,但不以此為限。在一些實施例中,使用者介面是提供給使用者瀏覽規則,建立規則,瀏覽提取要求,建立提取要求,以及修改提取要求等,但亦不以此為限。In some embodiments, step S30 is implemented by the user through the user interface, step S50 is implemented by the interactive record parser, and step S60 is automatically implemented by the interactive record parser or by the user through the user interface realized, but not limited to. In some embodiments, the user interface is provided for users to browse rules, create rules, browse extraction requirements, create extraction requirements, and modify extraction requirements, etc., but it is not limited thereto.
請參閱第7圖,其係顯示本案一實施例之互動式記錄解析方法之流程圖。如第7圖所示,本案之互動式記錄解析方法之步驟S10至步驟S60可以視為記錄解析及測試平台100,其功能包括選擇、瀏覽記錄及記錄的子集合,創建及解析規則,以及查看處理後的資料等。另一方面,本案之互動式記錄解析方法之步驟S70至步驟S90可以視為記錄解析監視及驗證器200,其中包括記錄解析監視功能及記錄解析驗證功能,記錄解析監視功能可以應用創建之規則於完整的記錄保存庫,監視事件的提取結果和錯誤,並反饋到所述的記錄解析及測試平台100以微調規則。記錄解析驗證功能可以連續地確認處理後的記錄是否正常,以及驗證規則或提取到的事件是否能有效對應到輸入的記錄中的新資料或新特徵。Please refer to FIG. 7, which is a flowchart showing an interactive record analysis method according to an embodiment of the present case. As shown in Figure 7, steps S10 to S60 of the interactive record analysis method in this case can be regarded as a record analysis and
基於前述之架構,本案另提供一種互動式記錄解析方法。請參閱第8圖及第9圖,其中第8圖係顯示本案一實施例之互動式記錄解析方法之流程圖,以及第9圖係顯示本案一實施例之互動式記錄解析系統之架構圖。如第8圖及第9圖所示,本案一實施例之互動式記錄解析方法係包括以下步驟。首先,如步驟S100所示,提供規則資料庫11、記錄解析器12及使用者介面13。其次,如步驟S200所示,允許使用者介面13與記錄解析器12及規則資料庫11互動,以至少建立一標記化規則,將標記化規則儲存於規則資料庫11,並套用標記化規則至記錄解析器12,且透過使用者介面13監控記錄解析器12之運作。然後,如步驟S300所示,輸入複數個記錄至記錄解析器12。接著,如步驟S400所示,記錄解析器12根據標記化規則解析複數個記錄,以提取至少一事件。藉此,不僅能確實反映記錄中的事件,也可以提供存在於記錄中的行為及相關知識,進而達到利於進行研究的功效。Based on the aforementioned framework, this case also provides an interactive record analysis method. Please refer to Figures 8 and 9, wherein Figure 8 is a flow chart showing an interactive record analysis method according to an embodiment of this case, and Figure 9 is a diagram showing the architecture of an interactive record analysis system according to an embodiment of this case. As shown in FIG. 8 and FIG. 9, the interactive record analysis method of an embodiment of the present case includes the following steps. First, as shown in step S100 , a
基於本案前述的互動式記錄解析方法,可以簡單地建立對應於各種類型系統的互動模型。請參閱第10圖,其係顯示透過本案之互動式記錄解析器建立互動模型之示意圖。如第10圖所示,當任意一種系統存在有互動記錄或互動日誌,就可以應用本案的互動式記錄解析方法及互動式記錄解析器,來解析互動記錄或互動日誌並提取事件,進而逐步建立出適用於當前系統的互動模型。Based on the aforementioned interactive record analysis method in this case, interactive models corresponding to various types of systems can be easily established. Please refer to Figure 10, which is a schematic diagram showing the establishment of an interactive model through the interactive record parser of this case. As shown in Figure 10, when there are interaction records or interaction logs in any system, the interactive record analysis method and interactive record parser of this case can be applied to analyze the interaction records or interaction logs and extract events, and then gradually build Generate an interaction model applicable to the current system.
綜上所述,本案提供一種互動式記錄解析方法,藉由互動式記錄解析器解析記錄並顯示解析結果於使用者介面,再建立規則套用至記錄以提取事件,不僅能確實反映記錄中的事件,也可以提供存在於記錄中的行為及相關知識,進而達到利於進行研究的功效。此外,透過持續判斷提取要求並建立標記化規則,以及應用測試內容持續解析並監控結果,能有效滿足分析事件中互動行為的需求,且能針對不同的事件層級,有效地分析出實際行為並予以分類,進而可應對複雜的記錄並展現出電子學習及使用者互動的豐富程度,同時可以在記錄存在錯誤時予以檢出並分類顯示於使用者介面,達到有效簡化記錄並解析的功效。To sum up, this case provides an interactive record analysis method. The interactive record parser parses the records and displays the analysis results on the user interface, and then creates rules and applies them to the records to extract events. Not only can it truly reflect the events in the records , can also provide the behavior and related knowledge existing in the records, and then achieve the effect of facilitating research. In addition, by continuously judging and extracting requirements and establishing tokenization rules, as well as continuously analyzing and monitoring results by applying test content, it can effectively meet the needs of analyzing interactive behaviors in events, and can effectively analyze actual behaviors and analyze them for different event levels. Classification can deal with complex records and show the richness of e-learning and user interaction. At the same time, errors in records can be detected and displayed on the user interface by category, effectively simplifying records and analysis.
縱使本發明已由上述之實施例詳細敘述而可由熟悉本技藝之人士任施匠思而為諸般修飾,然皆不脫如附申請專利範圍所欲保護者。Even though the present invention has been described in detail by the above-mentioned embodiments and can be modified in various ways by those who are familiar with the art, they are all within the scope of protection intended by the appended patent application.
11:規則資料庫 12:記錄解析器 13:使用者介面 100:記錄解析及測試平台 200:記錄解析監視及驗證器 C1:章節標記 C11:章節起始訊息 C12:章節結束訊息 C2:章節標記 C21:章節起始訊息 C22:章節結束訊息 S1:區段標記 S11:區段起始訊息 S12:區段結束訊息 S2:區段標記 S21:區段起始訊息 S22:區段結束訊息 S10:步驟 S20:步驟 S22:子步驟 S24:子步驟 S26:子步驟 S28:子步驟 S30:步驟 S40:步驟 S50:步驟 S60:步驟 S70:步驟 S80:步驟 S90:步驟 T1:標題標記 T11:標題起始訊息 T12:標題結束訊息 11: Rule Database 12:Record Parser 13: User Interface 100: Record analysis and test platform 200: Record parsing monitor and validator C1: Chapter markers C11: Chapter start message C12: Chapter end message C2: Chapter markers C21: Chapter start message C22: Chapter end message S1: Segment mark S11: Section start message S12: Section end message S2: Segment mark S21: Section start message S22: Section end message S10: step S20: step S22: sub-step S24: sub-step S26: sub-step S28: sub-step S30: step S40: step S50: Steps S60: Steps S70: Steps S80: step S90: Steps T1: title tag T11: Title start message T12: Title end message
第1圖係顯示本案一實施例之互動式記錄解析方法之流程圖。 第2圖係顯示本案一實施例之互動式記錄解析方法之步驟S20之子步驟流程圖。 第3圖係顯示本案一實施例之互動式記錄解析方法之步驟S20之子步驟流程圖。 第4圖係顯示本案一實施例之互動式記錄解析方法之步驟S20之子步驟流程圖。 第5圖係顯示本案之互動式記錄解析方法建立一標記化規則之示意圖。 第6圖係顯示本案一實施例之互動式記錄解析方法之流程圖。 第7圖係顯示本案一實施例之互動式記錄解析方法之流程圖。 第8圖係顯示本案一實施例之互動式記錄解析方法之流程圖。 第9圖係顯示本案一實施例之互動式記錄解析系統之架構圖。 第10圖係顯示透過本案之互動式記錄解析器建立互動模型之示意圖。 Fig. 1 is a flow chart showing an interactive record analysis method according to an embodiment of the present case. FIG. 2 is a flow chart showing the sub-steps of step S20 of the interactive record analysis method according to an embodiment of the present case. FIG. 3 is a flowchart showing the sub-steps of step S20 of the interactive record analysis method according to an embodiment of the present case. FIG. 4 is a flow chart showing the sub-steps of step S20 of the interactive record analysis method according to an embodiment of the present case. Figure 5 is a schematic diagram showing the establishment of a tokenization rule by the interactive record analysis method of this case. Fig. 6 is a flowchart showing an interactive record analysis method according to an embodiment of the present case. Fig. 7 is a flowchart showing an interactive record analysis method according to an embodiment of the present case. Fig. 8 is a flowchart showing an interactive record analysis method according to an embodiment of the present case. Fig. 9 is a structural diagram showing an interactive record analysis system according to an embodiment of the present case. Figure 10 is a schematic diagram showing the establishment of an interactive model through the interactive record parser of this case.
S10:步驟 S10: step
S20:步驟 S20: step
S30:步驟 S30: step
S40:步驟 S40: step
S50:步驟 S50: Steps
Claims (12)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW110102180A TWI797541B (en) | 2021-01-20 | 2021-01-20 | Interactive record parsing method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW110102180A TWI797541B (en) | 2021-01-20 | 2021-01-20 | Interactive record parsing method |
Publications (2)
Publication Number | Publication Date |
---|---|
TW202230086A TW202230086A (en) | 2022-08-01 |
TWI797541B true TWI797541B (en) | 2023-04-01 |
Family
ID=83782358
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
TW110102180A TWI797541B (en) | 2021-01-20 | 2021-01-20 | Interactive record parsing method |
Country Status (1)
Country | Link |
---|---|
TW (1) | TWI797541B (en) |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111897644A (en) * | 2020-08-06 | 2020-11-06 | 成都九洲电子信息系统股份有限公司 | Network data fusion matching method based on multiple dimensions |
-
2021
- 2021-01-20 TW TW110102180A patent/TWI797541B/en active
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111897644A (en) * | 2020-08-06 | 2020-11-06 | 成都九洲电子信息系统股份有限公司 | Network data fusion matching method based on multiple dimensions |
Also Published As
Publication number | Publication date |
---|---|
TW202230086A (en) | 2022-08-01 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Leite et al. | A survey of DevOps concepts and challenges | |
Ivory | An empirical foundation for automated web interface evaluation | |
WO2021088724A1 (en) | Testing method and apparatus | |
Ivory et al. | The state of the art in automating usability evaluation of user interfaces | |
Diaper | Understanding task analysis for human-computer interaction | |
US8818998B2 (en) | User interface for use in non-deterministic searching | |
Bao et al. | VT-Revolution: Interactive programming video tutorial authoring and watching system | |
US9348581B2 (en) | Systems, method and computer program products for tracking and viewing changes to information stored in a data structure | |
US20080269921A1 (en) | System and Method for Providing Support Assistance | |
US20110112835A1 (en) | Comment recording apparatus, method, program, and storage medium | |
US20050144150A1 (en) | Remote process capture, identification, cataloging and modeling | |
JP2007531940A (en) | Automated system and method for performing usability tests | |
Georgeon et al. | Supporting activity modelling from activity traces | |
Strandberg et al. | Information flow in software testing–an interview study with embedded software engineering practitioners | |
CN111078519A (en) | Method and device for backtracking abnormal monitoring behaviors and electronic equipment | |
Kendall | On the history and future of sociolinguistic data | |
TWI797541B (en) | Interactive record parsing method | |
US8798522B2 (en) | Simulation authoring tool | |
KR20100069147A (en) | Method and apparatus for testing quality of website | |
Anda et al. | An investigation of use case quality in a large safety-critical software development project | |
US7373604B1 (en) | Automatically scalable presentation of video demonstration content | |
Yusop et al. | Preliminary evaluation of a guided usability defect report form | |
Cushing | Corpus linguistics and language testing | |
Sohl | Comparing two heuristic evaluation methods and validating with usability test methods: applying usability evaluation on a simple website | |
CN114862631A (en) | Interactive recording and analyzing method |