TW201807675A - Teaching system with assistance of brainwave analysis including a brainwave detector, a brainwave analysis module, an answering interface, an answer comparison module and a question generation analysis subsystem - Google Patents

Teaching system with assistance of brainwave analysis including a brainwave detector, a brainwave analysis module, an answering interface, an answer comparison module and a question generation analysis subsystem Download PDF

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TW201807675A
TW201807675A TW105127881A TW105127881A TW201807675A TW 201807675 A TW201807675 A TW 201807675A TW 105127881 A TW105127881 A TW 105127881A TW 105127881 A TW105127881 A TW 105127881A TW 201807675 A TW201807675 A TW 201807675A
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TWI629673B (en
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謝哲人
魏春旺
李麗雪
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遠東科技大學
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Abstract

The present invention relates to teaching system with assistance of brainwave analysis. The system includes a brainwave detector, a brainwave analyzing module, an answering interface, an answer comparison module, and a question analyzing subsystem. The teaching system is configured for executing the following steps: A. providing a predetermined question via the answering interface so that enable an examinee to enter a corresponding answer and, meanwhile, retrieving a brainwave state information of the examinee by the brainwave detector when the examinee is answering the predetermined question; B. comparing the examinee's answer with a preset answer by the answer comparison module and analyzing the brainwave state information by the brainwave analyzing module to determine whether the examinee is in low-attention state while answering; C. providing another question or teaching material with higher difficulty by a question extracted module of the question analyzing subsystem, if the examinee's answer matches the preset answer and the examinee is in low-attention state.

Description

腦波分析輔助教學方法及系統Brainwave analysis assisted teaching method and system

本發明係關於一種輔助教學方法及系統,尤指利用腦波分析及答題輔助教學方法及系統。The invention relates to an auxiliary teaching method and system, especially an auxiliary teaching method and system using brain wave analysis and answering questions.

隨著科技的進步,人們除了一般物理量的量測之外,目前已經有方法可量化人類腦波的專注度,並可藉由設備量測及輸出人類的腦波。相關產品例如有神念科技研發的腦電晶片,可處理和輸出α,β等腦波波段數據,並可藉由特殊演算法輸出eSense專注指數,eSense專注指數可”顯示了使用者精神“集中度”或“注意度”的強弱,該數值的範圍是0到100,當心煩意亂、精神恍惚、注意力不集中以及焦慮等精神狀態時,專注度指數的數值會降低。With the development of science and technology, in addition to the measurement of general physical quantities, there are currently methods to quantify the concentration of human brain waves, and to measure and output human brain waves with equipment. Related products, such as the EEG chip developed by Shennian Technology, can process and output α, β and other brain wave data, and can output the eSense concentration index through a special algorithm. The eSense concentration index can "show the user's spirit" concentration "Strength" or "Attention". The value ranges from 0 to 100. When mental states such as upset, mental distress, inattention, and anxiety, the value of the concentration index will decrease.

另外有中華民國專利公告第M393291號之「腦波判斷學習應用裝置」,其於設計上可提供一教學主機以對使用者發出一練習之問題,而於其作答之期間同時讀取使用者之腦波,並進一步分析判斷出該腦波中對於答題之熟悉程度值,而當熟悉程度值超過一定標準值時,則可驅控該教學主機繼續發出測驗之問題,藉此以提供有效率之教學手段。但此前案並未揭露如何判斷使用者對於答題之熟悉程度,實施上仍欠缺更為具體有效的判斷方式。In addition, there is a "brain wave judgment learning application device" of the Republic of China Patent Bulletin No. M393291, which can be designed to provide a teaching host to issue a practice question to the user, and at the same time read the user's Brainwave, and further analysis to determine the familiarity value of the brainwave for answering questions, and when the familiarity value exceeds a certain standard value, you can drive the teaching host to continue to issue questions to provide efficient Teaching methods. However, previous cases did not disclose how to judge the user's familiarity with the answers, and there is still a lack of a more specific and effective judgment method in implementation.

爰此,本發明人為可藉由腦波分析提供有效率且可行的教學方式,而提出一種腦波分析輔助教學方法,包含:A.進行一答題程序,該答題程序係由一作答界面提供預設的一問題資料,以取得對應的一作答資料,並於該答題程序中以一腦波偵測器取得一腦波狀態資訊;B.以一答案比對模組將該作答資料比對預設的一答案資料,並以一腦波分析模組比對該腦波狀態資訊是否對應預設的一低專注狀態;及C.藉由一判斷模組判斷是否該作答資料實質上相同於答案資料且該專注狀態對應預設的該低專注狀態,若是將由一出題模組提供預設難度等級相對高於該問題資料的另一問題資料或一進階教學資料。Therefore, the inventor proposed an assisted teaching method for brainwave analysis in order to provide an efficient and feasible teaching method through brainwave analysis, including: A. Performing an answering program, which is provided in advance by an answering interface. A question data is set to obtain corresponding answer data, and an electroencephalogram detector is used to obtain an electroencephalogram state information in the answer procedure; B. The answer data is compared with a answer comparison module in advance. An answer data is set, and an electroencephalogram analysis module is used to compare whether the electroencephalogram state information corresponds to a preset low concentration state; and C. determining whether the answer data is substantially the same as the answer by a judgment module Data and the focus state corresponds to the preset low focus state, if it is another question data or an advanced teaching data with a preset difficulty level that is relatively higher than the question data, a question module will be provided.

進一步,該腦波分析模組先按照預設的一取樣時間取得複數專注值,並統計前述專注值低於預設之一專注值門檻值的一低專注值次數,當該低專注次數大於預設的一專注次數門檻值時,認定該腦波資訊的專注狀態為前述低專注狀態。Further, the brain wave analysis module first obtains a plurality of focus values according to a preset sampling time, and counts a number of times of low focus value where the focus value is lower than a preset focus value threshold. When a threshold of concentration is set, the concentration state of the brainwave information is determined to be the aforementioned low concentration state.

進一步,步驟C中,該判斷模組判斷是否該作答資料實質上相同於答案資料且該專注狀態對應預設的該低專注狀態,若否將提供預設難度等級實質上相同或低於該問題資料的另一問題資料或協助解題的一解說教學資料。Further, in step C, the judgment module determines whether the answer data is substantially the same as the answer data and the concentration state corresponds to the preset low concentration state, and if not, the preset difficulty level is substantially the same or lower than the question Another question material or an explanation teaching material to help solve the problem.

本發明亦為一種腦波分析輔助教學系統,包含:一作答界面,用以提供預設的一問題資料,並取得對應該問題資料的一作答資料;一腦波處理組件,包含一腦波偵測器及一腦波分析模組,該腦波偵測器連接該作答界面,用以在該作答界面提供該問題資料的過程中取得一腦波狀態資訊,該腦波分析模組連接該腦波偵測器,用以比對該腦波狀態資訊是否對應預設的一低專注狀態;一答案比對模組,連接該作答界面,用以將該作答資料比對預設的一答案資料;及一出題分析子系統,連接該腦波分析模組及該答案比對模組,該出題分析子系統包含一判斷模組及一出題模組,該判斷模組用以判斷是否該作答資料實質上相同於答案資料且該專注狀態對應預設的該低專注狀態,若是則使該出題模組提供預設難度等級相對高於該問題資料的另一問題資料或一教學資料。The invention is also an auxiliary teaching system for brainwave analysis, including: a response interface for providing a preset question data and obtaining a response data corresponding to the question data; a brainwave processing component including a brainwave detection A brain wave detector and an electroencephalogram analysis module, the electroencephalogram detector is connected to the answer interface, and is used to obtain an electroencephalogram state information in the process of providing the question data in the answer interface, and the electroencephalogram analysis module is connected to the brain The wave detector is used to compare whether the brain wave state information corresponds to a preset low concentration state; an answer comparison module is connected to the answer interface for comparing the answer data to a preset answer data ; And a question analysis subsystem, connected to the brainwave analysis module and the answer comparison module, the question analysis subsystem includes a judgment module and a question module, the judgment module is used to determine whether to answer data It is substantially the same as the answer data and the focus state corresponds to the preset low focus state. If so, the question module provides another question data or a teaching resource with a preset difficulty level that is relatively higher than the question data. .

進一步,該腦波分析模組先按照預設的一取樣時間取得複數專注值,並統計前述專注值低於預設之一專注值門檻值的一低專注值次數,當該低專注次數大於預設的一專注次數門檻值時,認定該腦波資訊的專注狀態為前述低專注狀態。Further, the brain wave analysis module first obtains a plurality of focus values according to a preset sampling time, and counts a number of times of low focus value where the focus value is lower than a preset focus value threshold. When a threshold of concentration is set, the concentration state of the brainwave information is determined to be the aforementioned low concentration state.

進一步,該判斷模組判斷是否該作答資料實質上相同於答案資料且該專注狀態對應預設的該低專注狀態,若否將提供預設難度等級實質上相同或低於該問題資料的另一問題資料或協助解題的另一教學資料。Further, the judging module judges whether the answer data is substantially the same as the answer data and the focus state corresponds to the preset low focus state; if not, another preset difficulty level that is substantially the same or lower than the question data is provided. Question material or another teaching material to assist in solving the problem.

更包括一伺服端及一頭戴式穿戴件,該伺服端提供前述作答界面、該答案比對模組及該出題分析子系統,該頭戴式穿戴件供前述腦波處理組件設置,該腦波分析模組無線訊號連接該伺服端。It also includes a server and a head-mounted wearer. The server provides the aforementioned answer interface, the answer comparison module, and the question analysis subsystem. The head-mounted wearer is provided for the aforementioned brainwave processing component. The wireless signal of the wave analysis module is connected to the server.

本發明同時也是一種腦波分析輔助教學系統,用於依據一腦波處理組件於作答過程分析所得之一專注狀態之資訊協助教學,該腦波分析輔助教學系統包含:一作答界面,用以提供預設的一問題資料,並取得對應該問題資料的一作答資料;一答案比對模組,連接該作答界面,用以將該作答資料比對預設的一答案資料;及一出題分析子系統,連接該腦波分析模組及該答案比對模組,該出題分析子系統包含一判斷模組及一出題模組,該判斷模組用以判斷是否該作答資料實質上相同於答案資料且該專注狀態對應預設的一低專注狀態,若是則使該出題模組提供預設難度等級相對高於該問題資料的另一問題資料或一教學資料。The invention is also an auxiliary teaching system for electroencephalogram analysis, which is used to assist teaching based on information of a state of focus obtained by an electroencephalogram processing component during the response process analysis. The auxiliary electroencephalogram analysis teaching system includes a response interface for providing Preset a question data and obtain a response data corresponding to the question data; an answer comparison module connected to the answer interface for comparing the answer data with a preset answer data; and a question-analyzer The system is connected to the brainwave analysis module and the answer comparison module. The question analysis subsystem includes a judgment module and a question module. The judgment module is used to determine whether the answer data is substantially the same as the answer data. And the concentration state corresponds to a preset low concentration state, and if so, the question generation module provides another question data or a teaching material whose preset difficulty level is relatively higher than the question data.

根據上述技術特徵可達成以下功效:According to the above technical features, the following effects can be achieved:

1.整合學習者在解題過程的專注值與答案,作為判斷是否提供難度進階的問題或教學內容,以發展一套適性化輔助教學機制,以推薦更為適合學習者之學習狀態的學習輔助策略,不致造成學習者過份的認知負荷。藉此,亦可避免傳統出題系統會因為學習者猜中正確答案而提供錯誤難度的進階問題或教學資料的問題。1. Integrate the learner's focus value and answer in the problem-solving process as a judgment to provide advanced questions or teaching content, to develop a set of adaptive auxiliary teaching mechanisms, and to recommend learning assistance that is more suitable for the learning state of the learner Strategies that do not cause excessive cognitive load on the learner. In this way, it is also possible to avoid that the traditional question-producing system will provide advanced problems of difficulty or teaching materials because the learners guess the correct answer.

2.可於取樣時間多次取樣的專注值,再統計專注值為高專注值的次數,以進一步提高系統判斷的精確度。2. The concentration value that can be sampled multiple times during the sampling time, and then count the number of times the concentration value is high, to further improve the accuracy of the system judgment.

綜合上述技術特徵,本發明腦波分析輔助教學方法及系統的主要功效將可於下述實施例清楚呈現。In summary of the above technical features, the main effects of the electroencephalogram analysis assisted teaching method and system of the present invention will be clearly presented in the following embodiments.

請先參閱第一圖及第二圖,係揭示本發明實施例腦波分析輔助教學系統,包含:一腦波處理組件(1)及一伺服端(2),其中:Please refer to the first diagram and the second diagram, which disclose an auxiliary teaching system for electroencephalogram analysis according to an embodiment of the present invention, including: an electroencephalogram processing component (1) and a servo terminal (2), wherein:

該腦波處理組件(1)包含一腦波偵測器(11)、一腦波分析模組(12)及一頭戴式穿戴件(13),該腦波偵測器(11)及該腦波分析模組(12)可皆安裝於該頭戴式穿戴件(13),但實施上不侷限於此,亦可只將該腦波偵測器(11)安裝於該頭戴式穿戴件(13),並將該腦波偵測器(11)取得之一腦波狀態資訊以有線或無線(例如藍牙、Wi-Fi、ZigBee等)發送至該腦波分析模組(12)。該腦波分析模組(12)連接該腦波偵測器(11),用以比對該腦波狀態資訊是否對應預設的一高專注狀態。The electroencephalogram processing component (1) includes an electroencephalogram detector (11), an electroencephalogram analysis module (12), and a head-mounted wearable (13). The electroencephalogram detector (11) and the The electroencephalogram analysis module (12) can be installed on the head-mounted wearable (13), but the implementation is not limited to this, and the electroencephalogram detector (11) can also be installed on the head-mounted wearable. (13), and send one of the brainwave state information obtained by the brainwave detector (11) to the brainwave analysis module (12) by wire or wireless (for example, Bluetooth, Wi-Fi, ZigBee, etc.). The electroencephalogram analysis module (12) is connected to the electroencephalogram detector (11) to compare whether the electroencephalogram state information corresponds to a preset high concentration state.

復請參閱第二圖,詳細而言,該腦波分析模組(12)可先按照預設的一取樣時間(例如每10秒、20秒、30秒一次等)取得複數專注值,並統計前述專注值低於預設之一專注值門檻值(121)的一低專注值次數,當該低專注次數大於預設的一專注次數門檻值(例如30秒內1次、1分鐘內兩次等)時,才認定該腦波資訊的專注狀態為前述低專注狀態,以進一步提高系統判斷的精確度。舉例來說,該專注值門檻值(121)以eSense專注指數為例作為說明,若數值的範圍是0到100,則該專注值門檻值(121)則可設定為50(亦可依使用者需求設定不同值),高於50則可判斷為高專注度,低於50則可判斷為低專注度。Please refer to the second figure again. In detail, the brain wave analysis module (12) can first obtain a plurality of focus values according to a preset sampling time (for example, every 10 seconds, 20 seconds, 30 seconds, etc.) and calculate the statistics. The number of times a low concentration value is lower than one of the predetermined concentration value thresholds (121), and when the low concentration number is greater than a predetermined concentration number threshold (e.g., once in 30 seconds, twice in 1 minute) Etc.), then the state of focus of the brainwave information is determined to be the aforementioned state of low concentration to further improve the accuracy of the system judgment. For example, the focus value threshold (121) is described by using the eSense focus index as an example. If the value ranges from 0 to 100, the focus value threshold (121) can be set to 50 (depending on the user). Different settings are required), higher than 50 can be judged as high concentration, lower than 50 can be judged as low concentration.

復請參閱第二圖,要進一步說明的是,前述腦波分析模組(12)例如可採用神念科技研發的腦電晶片,該腦電晶片可處理和輸出α,β等腦波波段數據,並可藉由特殊演算法輸出前述eSense專注指數,前述eSense專注指數可”顯示了使用者精神“集中度”或“注意度”的強弱,該數值的範圍是0到100,當心煩意亂、精神恍惚、注意力不集中以及焦慮等精神狀態時,專注度指數的數值會降低。但腦電晶片並不侷限於此,只要是可處理和輸出α,β等腦波波段數據,進而得以分析腦波資訊的專注度指數即可。Please refer to the second figure again. To further explain, the aforementioned electroencephalogram analysis module (12) can be, for example, an EEG chip developed by Shennian Technology, which can process and output brain wave data such as α, β, etc. , And the aforementioned eSense concentration index can be output by a special algorithm. The aforementioned eSense concentration index can show the strength of the user's "concentration" or "attention". The value ranges from 0 to 100. , Mental distress, inattention, and anxiety, the value of the concentration index will decrease. However, the EEG chip is not limited to this, as long as it can process and output brain wave data such as α, β, and so on. Just analyze the concentration index of brainwave information.

復請參閱第二圖,該伺服端(2)包含一處理模組(20)及連接該處理模組(20)之一作答界面(21)、一答案比對模組(22)及一出題分析子系統(23),該作答界面(21)用以提供預設的一問題資料(211),並取得對應該問題資料的一作答資料,實施上可一併將該問題資料呈現於螢幕,並於螢幕上提供答題欄以取得該作答資料。該答案比對模組(22)連接該作答界面(21),用以將該作答資料比對預設的一答案資料(212),該出題分析子系統(23)連接該腦波分析模組(12)及該答案比對模組(22),該出題分析子系統(23)包含一判斷模組(231)及一出題模組(232),該判斷模組(231)可利用文本比對技術或一般邏輯判斷語法(例如將答案予以編碼,以供比對編碼即可),判斷是否該作答資料實質上相同於答案資料且該專注狀態對應預設的該高專注狀態,若是則使該出題模組(232)提供預設難度等級相對高於該問題資料的另一問題資料或一進階教學資料。Please refer to the second figure again. The server (2) includes a processing module (20) and an answering interface (21) connected to the processing module (20), an answer comparison module (22), and a question. An analysis subsystem (23). The answering interface (21) is used to provide a preset question data (211) and obtain a answer data corresponding to the question data. In practice, the question data can be presented on the screen. Provide an answer column on the screen to get the answer information. The answer comparison module (22) is connected to the answer interface (21) for comparing the answer data with a preset answer data (212), and the question analysis subsystem (23) is connected to the brain wave analysis module (12) and the answer comparison module (22), the question analysis subsystem (23) includes a judgment module (231) and a question analysis module (232), and the judgment module (231) can use text comparison Judging the grammar of technology or general logic (such as coding the answer for comparison coding), determine whether the answer data is substantially the same as the answer data and the concentration state corresponds to the preset high concentration state, and if so, use The question generation module (232) provides another question data or an advanced teaching material with a preset difficulty level relatively higher than the question data.

復請參閱第二圖,要補充說明的是,於本實施例中,是以單一電腦系統的螢幕提供前述作答界面(21)、前述答案比對模組(22)、前述出題分析子系統(23)及一資料庫(24),該資料庫(24)儲存有複數前述答案資料、預先以不同難度分類的複數前述問題資料及教學資料、用於協助解題的教學資料、前述高專注狀態、前述專注值門檻值(121)等所需資料,但實施上並不以此為限,例如可由手機的螢幕提供前述作答界面(21),而前述答案比對模組(22)或/及前述出題分析子系統(23)、前述資料庫則由一雲端伺服器提供即可。Please refer to the second figure again. It should be added that, in this embodiment, a single computer system screen is used to provide the aforementioned answer interface (21), the aforementioned answer comparison module (22), and the aforementioned question analysis subsystem ( 23) and a database (24), which stores a plurality of the aforementioned answer data, a plurality of the aforementioned question data and teaching materials classified in advance with different difficulties, teaching materials for assisting in solving the problem, the aforementioned state of high concentration, The required information such as the aforementioned focus value threshold (121), but not limited to implementation, for example, the aforementioned answer interface (21) may be provided by the screen of a mobile phone, and the aforementioned answer comparison module (22) or / and the aforementioned The problem analysis subsystem (23) and the aforementioned database can be provided by a cloud server.

前述腦波分析輔助教學系統使用之流程可參閱第三圖,以下請參閱第一圖及第二圖,進一步詳細說明使用流程:The process of using the aforementioned brainwave analysis assisted teaching system can be referred to the third diagram, and the following please refer to the first diagram and the second diagram to further explain the use process:

A.進行一答題程序,該答題程序係由前述作答界面(21)提供預設的一問題資料,以取得學習者回答該問題資料的一作答資料,並於該答題程序中以該腦波偵測器(11)取得前述腦波狀態資訊。A. Perform an answering procedure. The answering procedure is provided by the aforementioned answering interface (21) with a preset question data to obtain a answering material for the learner to answer the question data, and the brain wave detection is used in the answering process. The measuring device (11) obtains the aforementioned brain wave state information.

B.以該答案比對模組(22)將該作答資料比對預設的答案資料,並以該腦波分析模組(12)比對該腦波狀態資訊是否對應預設的一低專注狀態。最好是,該腦波分析模組(12)先按照預設的取樣時間取得複數專注值,並統計前述專注值高於預設之一專注值門檻值(121)的一低專注值次數,當該低專注次數大於預設的一專注次數門檻值時,認定該腦波資訊的專注狀態為前述低專注狀態。B. Use the answer comparison module (22) to compare the answer data with the preset answer data, and use the brain wave analysis module (12) to compare whether the brain wave state information corresponds to a preset low concentration status. Preferably, the electroencephalogram analysis module (12) first obtains a plurality of concentration values according to a preset sampling time, and counts a number of times of low concentration value where the foregoing concentration value is higher than a preset concentration value threshold (121), When the number of times of low concentration is greater than a preset threshold of number of times of concentration, it is determined that the state of concentration of the brainwave information is the aforementioned state of low concentration.

C.藉由該判斷模組(231)判斷是否該作答資料實質上相同於答案資料且該專注狀態對應預設的該高專注狀態,若是將由該出題模組(232)提供預設難度等級相對高於該問題資料的另一問題資料或一教學資料。舉例來說,選擇題的正確答案為1、學習者的答案亦為1,則該答案比對模組(22)可比對兩者相符而判斷為正確,接著該腦波分析模組(12)所分析的專注值為40高於預設之專注值門檻值50,而得以判斷學習者可於低學習負荷下正確答題,因此可再進一步提供難度更難的問題資料。詳細而言,請參閱第四圖及第二圖,該腦波分析模組(12)可先按照預設的一取樣時間(例如每10秒、20秒、30秒一次等)取得複數專注值,並統計前述專注值高於預設之一專注值門檻值(121)的一高專注值次數,當該低專注次數大於預設的一專注次數門檻值時,認定該腦波資訊的專注狀態為前述低專注狀態。C. Use the judgment module (231) to determine whether the answer data is substantially the same as the answer data and the concentration state corresponds to the preset high concentration state. If it is provided, the preset difficulty level is provided by the question generation module (232). Another problem material or a teaching material that is higher than the problem material. For example, if the correct answer of the multiple choice question is 1, the learner's answer is also 1, the answer comparison module (22) can compare the two to determine that it is correct, and then the brain wave analysis module (12) The analyzed concentration value is 40 which is higher than the preset concentration value threshold value of 50, so that it can be judged that the learner can answer the question correctly under a low learning load, so it can further provide more difficult question data. For details, please refer to the fourth graph and the second graph. The brain wave analysis module (12) can first obtain a plurality of focus values according to a preset sampling time (for example, every 10 seconds, 20 seconds, 30 seconds, etc.) And count the number of times of a high concentration value that the above-mentioned concentration value is higher than a preset concentration value threshold (121), and when the low concentration number is greater than a preset concentration value threshold, the state of concentration of the brainwave information is determined It is the aforementioned state of low concentration.

最好是,步驟C中,該判斷模組(231)判斷該作答資料是否實質上相同於答案資料且該專注狀態對應預設的該高專注狀態,若否將提供預設難度等級實質上相同或低於該問題資料的另一問題資料或協助解題的另一教學資料。舉例來說,選擇題的正確答案為1、學習者的答案為2,則該答案比對模組(22)可比對兩者不相符而判斷為錯誤,接著該腦波分析模組(12)所分析的專注值為60高於預設之專注值門檻值50,而得以判斷學習者可於高學習負荷下答題錯誤,因此不適合再進一步提供難度更難的問題資料,僅適合維持同樣難度的題目或提供協助解題的教學資料。另外,若選擇題的正確答案為1、學習者的答案亦為1,雖該答案比對模組(22)可比對兩者相符而判斷為正確,但若該腦波分析模組(12)所分析的專注值為60高於預設之專注值門檻值50,而得以判斷學習者仍須於高學習負荷下答題,因此不適合再進一步提供難度更難的問題資料,僅適合維持提供同樣或相似難度的題目。Preferably, in step C, the judgment module (231) judges whether the answer data is substantially the same as the answer data and the concentration state corresponds to the preset high concentration state, and if not, the preset difficulty level is substantially the same Or another problem material that is lower than the problem material or another teaching material to help solve the problem. For example, if the correct answer of the multiple choice question is 1, and the learner's answer is 2, then the answer comparison module (22) can compare the two and discriminate it as an error, and then the brain wave analysis module (12) The analyzed concentration value is 60 higher than the preset concentration value threshold value of 50, so that it can be judged that the learner can answer wrong under high learning load, so it is not suitable to further provide more difficult problem data, and it is only suitable to maintain the same difficulty. Questions or teaching materials to help solve the problem. In addition, if the correct answer of the multiple-choice question is 1, the learner's answer is also 1. Although the answer comparison module (22) can match the two and judge it as correct, if the brain wave analysis module (12) The analyzed concentration value is 60 which is higher than the preset concentration value threshold value of 50, and it can be judged that the learner still has to answer the question under a high learning load. Therefore, it is not suitable for further providing more difficult and difficult problem information. It is only suitable for maintaining the same or Problems of similar difficulty.

藉上述流程,即可整合學習者在解題過程的專注值與答案,作為判斷是否提供難度進階的問題或教學內容,以發展一套適性化輔助教學機制,以推薦更為適合學習者之學習狀態的學習輔助策略,不致造成學習者過份的認知負荷。可避免傳統出題系統會因為學習者猜中正確答案而提供錯誤難度的進階問題或教學資料的問題。With the above process, the learner's focus value and answer in the problem solving process can be integrated as a judgment to provide advanced questions or teaching content to develop a set of adaptive auxiliary teaching mechanisms to recommend more suitable learning for learners State-assisted learning strategies do not cause excessive cognitive load on learners. It can avoid the problem that the traditional question-producing system will provide the advanced questions or teaching materials of wrong difficulty because the learner guesses the correct answer.

綜合上述實施例之說明,當可充分瞭解本發明之操作、使用及本發明產生之功效,惟以上所述實施例僅係為本發明之較佳實施例,當不能以此限定本發明實施之範圍,即依本發明申請專利範圍及發明說明內容所作簡單的等效變化與修飾,皆屬本發明涵蓋之範圍內。Based on the description of the above embodiments, the operation, use and effects of the present invention can be fully understood, but the above-mentioned embodiments are only preferred embodiments of the present invention, and the implementation of the present invention cannot be limited in this way. The scope, that is, the simple equivalent changes and modifications made according to the scope of the patent application and the description of the invention, are all within the scope of the present invention.

(1)‧‧‧腦波處理組件
(11)‧‧‧腦波偵測器
(12)‧‧‧腦波分析模組
(121)‧‧‧專注值門檻值
(13)‧‧‧頭戴式穿戴件
(2)‧‧‧伺服端
(20)‧‧‧處理模組
(21)‧‧‧作答界面
(211)‧‧‧問題資料
(212)‧‧‧答案資料
(22)‧‧‧答案比對模組
(23)‧‧‧出題分析子系統
(231)‧‧‧判斷模組
(232)‧‧‧出題模組
(24)‧‧‧資料庫
(1) ‧‧‧ Brainwave Processing Module
(11) ‧‧‧ Brainwave Detector
(12) ‧‧‧ Brainwave Analysis Module
(121) ‧‧‧ Focus value threshold
(13) ‧‧‧Headwear
(2) ‧‧‧Server
(20) ‧‧‧Processing Module
(21) ‧‧‧ Answering interface
(211) ‧‧‧Question information
(212) ‧‧‧Answer Information
(22) ‧‧‧Answer Comparison Module
(23) ‧‧‧Question analysis subsystem
(231) ‧‧‧Judgment Module
(232) ‧‧‧Question Module
(24) ‧‧‧Database

[第一圖]係本發明實施例之系統架構示意圖。[First diagram] is a schematic diagram of a system architecture according to an embodiment of the present invention.

[第二圖]係本發明實施例之系統方塊示意圖。[Second figure] A block diagram of a system according to an embodiment of the present invention.

[第三圖]係本發明實施例之步驟流程示意圖。[Third figure] Schematic diagram of the steps in the embodiment of the present invention.

[第四圖]係本發明實施例取樣步驟流程示意圖。[Fourth Figure] is a flow chart of the sampling steps in the embodiment of the present invention.

(1)‧‧‧腦波處理組件 (1) ‧‧‧ Brainwave Processing Module

(11)‧‧‧腦波偵測器 (11) ‧‧‧ Brainwave Detector

(12)‧‧‧腦波分析模組 (12) ‧‧‧ Brainwave Analysis Module

(121)‧‧‧專注值門檻值 (121) ‧‧‧ Focus value threshold

(13)‧‧‧頭戴式穿戴件 (13) ‧‧‧Headwear

(2)‧‧‧伺服端 (2) ‧‧‧Server

(20)‧‧‧處理模組 (20) ‧‧‧Processing Module

(21)‧‧‧作答界面 (21) ‧‧‧ Answering interface

(211)‧‧‧問題資料 (211) ‧‧‧Question information

(212)‧‧‧答案資料 (212) ‧‧‧Answer Information

(22)‧‧‧答案比對模組 (22) ‧‧‧Answer Comparison Module

(23)‧‧‧出題分析子系統 (23) ‧‧‧Question analysis subsystem

(231)‧‧‧判斷模組 (231) ‧‧‧Judgment Module

(232)‧‧‧出題模組 (232) ‧‧‧Question Module

(24)‧‧‧資料庫 (24) ‧‧‧Database

Claims (8)

一種腦波分析輔助教學方法,包含: A.進行一答題程序,該答題程序係由一作答界面提供預設的一問題資料,以取得對應的一作答資料,並於該答題程序中以一腦波偵測器取得一腦波狀態資訊; B.以一答案比對模組將該作答資料比對預設的一答案資料,並以一腦波分析模組比對該腦波狀態資訊是否對應預設的一低專注狀態;及 C.藉由一判斷模組判斷是否該作答資料實質上相同於答案資料且該專注狀態對應預設的該低專注狀態,若是將由一出題模組提供預設難度等級相對高於該問題資料的另一問題資料或一進階教學資料。An auxiliary teaching method for brain wave analysis, including: A. Performing an answering program, which is provided by a answering interface with preset question data to obtain corresponding answering data, and using the brain in the answering program The wave detector obtains an electroencephalogram state information; B. compares the answer data with a preset answer data by an answer comparison module, and compares the corresponding electroencephalogram state information with an electroencephalogram analysis module A preset low concentration state; and C. determining whether the answer data is substantially the same as the answer data by a judgment module and the concentration state corresponds to the preset low concentration state, if a preset is provided by a questioning module Another problem material or an advanced teaching material whose difficulty level is relatively higher than the problem material. 如申請專利範圍第1項所述之腦波分析輔助教學方法,其中,該腦波分析模組先按照預設的一取樣時間取得複數專注值,並統計前述專注值低於預設之一專注值門檻值的一低專注值次數,當該低專注次數大於預設的一專注次數門檻值時,認定該腦波資訊的專注狀態為前述低專注狀態。The auxiliary teaching method of brain wave analysis according to item 1 of the scope of patent application, wherein the brain wave analysis module first obtains a plurality of focus values according to a preset sampling time, and counts that the focus value is lower than a preset focus A low concentration value of the threshold value. When the low concentration number is greater than a preset concentration number threshold value, the concentration state of the brainwave information is determined to be the aforementioned low concentration state. 如申請專利範圍第1項所述之腦波分析輔助教學方法,其中,步驟C中,該判斷模組判斷是否該作答資料實質上相同於答案資料且該專注狀態對應預設的該低專注狀態,若否將提供預設難度等級實質上相同或低於該問題資料的另一問題資料或協助解題的一解說教學資料。According to the brain wave analysis assisted teaching method described in item 1 of the scope of patent application, in step C, the judgment module judges whether the answer data is substantially the same as the answer data and the concentration state corresponds to the preset low concentration state , If not, will provide another problem data with a preset difficulty level that is substantially the same or lower than the problem data or an explanation teaching material to help solve the problem. 一種腦波分析輔助教學系統,包含: 一作答界面,用以提供預設的一問題資料,並取得對應該問題資料的一作答資料; 一腦波處理組件,包含一腦波偵測器及一腦波分析模組,該腦波偵測器連接該作答界面,用以在該作答界面提供該問題資料的過程中取得一腦波狀態資訊,該腦波分析模組連接該腦波偵測器,用以比對該腦波狀態資訊是否對應預設的一低專注狀態; 一答案比對模組,連接該作答界面,用以將該作答資料比對預設的一答案資料;及 一出題分析子系統,連接該腦波分析模組及該答案比對模組,該出題分析子系統包含一判斷模組及一出題模組,該判斷模組用以判斷是否該作答資料實質上相同於答案資料且該專注狀態對應預設的該低專注狀態,若是則使該出題模組提供預設難度等級相對高於該問題資料的另一問題資料或一教學資料。An auxiliary teaching system for brainwave analysis includes: a response interface for providing a preset question data and obtaining a response data corresponding to the question data; a brainwave processing component including a brainwave detector and a An electroencephalogram analysis module, the electroencephalogram detector is connected to the answer interface, and is used to obtain an electroencephalogram state information in the process of providing the question data on the answer interface, and the electroencephalogram analysis module is connected to the electroencephalogram detector To compare whether the brainwave state information corresponds to a preset low concentration state; an answer comparison module connected to the answer interface for comparing the answer data to a preset answer data; and a question An analysis subsystem is connected to the brain wave analysis module and the answer comparison module. The question analysis subsystem includes a judgment module and a question generation module. The judgment module is used to determine whether the answer data is substantially the same as The answer data and the concentration state correspond to the preset low concentration state, and if so, the question generation module provides another question data or a teaching material whose preset difficulty level is relatively higher than the question data. 如申請專利範圍第4項所述之腦波分析輔助教學系統,其中,該腦波分析模組先按照預設的一取樣時間取得複數專注值,並統計前述專注值低於預設之一專注值門檻值的一低專注值次數,當該低專注次數大於預設的一專注次數門檻值時,認定該腦波資訊的專注狀態為前述低專注狀態。According to the brainwave analysis assisted teaching system described in item 4 of the scope of patent application, the brainwave analysis module first obtains a plurality of concentration values according to a preset sampling time, and counts that the concentration value is lower than a predetermined concentration value. A low concentration value of the threshold value. When the low concentration number is greater than a preset concentration number threshold value, the concentration state of the brainwave information is determined to be the aforementioned low concentration state. 如申請專利範圍第4項所述之腦波分析輔助教學系統,其中,該判斷模組判斷是否該作答資料實質上相同於答案資料且該專注狀態對應預設的該低專注狀態,若否將提供預設難度等級實質上相同或低於該問題資料的另一問題資料或協助解題的另一教學資料。According to the brain wave analysis auxiliary teaching system described in item 4 of the scope of patent application, wherein the judgment module determines whether the answer data is substantially the same as the answer data and the concentration state corresponds to the preset low concentration state. Provide another problem material or another teaching material to assist in solving the problem, provided that the preset difficulty level is substantially the same or lower than the problem material. 如申請專利範圍第4項所述之腦波分析輔助教學系統,更包括一伺服端及一頭戴式穿戴件,該伺服端提供前述作答界面、該答案比對模組及該出題分析子系統,該頭戴式穿戴件供前述腦波處理組件設置,該腦波分析模組無線訊號連接該伺服端。According to the brain wave analysis auxiliary teaching system described in item 4 of the scope of patent application, it further includes a server and a head-mounted wearable. The server provides the aforementioned answer interface, the answer comparison module, and the question analysis subsystem. The head-mounted wearable is provided for the aforementioned electroencephalogram processing component, and the electroencephalogram analysis module wireless signal is connected to the servo terminal. 一種腦波分析輔助教學系統,用於依據一腦波處理組件於作答過程分析所得之一專注狀態之資訊協助教學,該腦波分析輔助教學系統包含: 一作答界面,用以提供預設的一問題資料,並取得對應該問題資料的一作答資料; 一答案比對模組,連接該作答界面,用以將該作答資料比對預設的一答案資料;及 一出題分析子系統,連接該腦波分析模組及該答案比對模組,該出題分析子系統包含一判斷模組及一出題模組,該判斷模組用以判斷是否該作答資料實質上相同於答案資料且該專注狀態對應預設的一低專注狀態,若是則使該出題模組提供預設難度等級相對高於該問題資料的另一問題資料或一教學資料。An auxiliary teaching system for electroencephalogram analysis is used to assist teaching based on information of a state of focus obtained by an electroencephalogram processing component during the answering process analysis. The auxiliary teaching system for electroencephalography analysis includes: a response interface for providing a preset one Question data, and obtain an answer data corresponding to the question data; an answer comparison module connected to the answer interface for comparing the answer data with a preset answer data; and a question analysis subsystem connected to the Brainwave analysis module and the answer comparison module. The question analysis subsystem includes a judgment module and a question module. The judgment module is used to determine whether the answer data is substantially the same as the answer data and the focus state. Corresponding to a preset low concentration state, if so, the question module provides another question data or a teaching material whose preset difficulty level is relatively higher than the question data.
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