TWI817602B - Method and system for analyzing the suitability of reading materials and computer readable medium thererfor - Google Patents

Abstract

The present invention is a method for analyzing the suitability of reading materials and system thereof. Multiple reading materials is provided for learners to watch, and learners' brainwave signals and behavioral responses are captured at the same time. The presentation order and time of the multiple reading materials will correspond to the brainwave signals, and the multiple reading materials are subjected to event segmentation, band-pass filtering and paragraph filtering, so as to obtain a first value and a second value of event-related potential. The first value and the second value will be used to compare with a standard material threshold to confirm the applicability of the multiple reading materials. In addition, training operations is conducted through different types of stimulation materials, so judgment can be effectively and quickly and have high accuracy by judgment criteria in the present invention. The present invention also provides a computer-readable medium for executing the method for analyzing of the present invention.

Description

Analysis methods, systems and computer-readable media for the applicability of reading materials

The present invention relates to a technology for judging the applicability of materials based on brain waves, and in particular, to an analysis system and method for the applicability of reading materials and a computer-readable medium thereof.

Generally speaking, cognitive load significantly affects learning results. Cognitive load can include three types: intrinsic, extrinsic, and germane. For instructors, it is It is very important to prepare students for effective instructional design.

In the field of education, the relationship between teaching environment design and learner learning effects has always been a crucial issue. Specifically, people's long-term memory and working memory are linked to each other through limited capacity. The main function of working memory is to process new information obtained through attention and recognition and move it to long-term memory. Its purpose is to prepare new information for Add meaning, organize and store it for later use. In addition, the arrangement of cognitive resources by learners in learning activities and the teaching format are often the main external factors that lead to cognitive overload, which may have a negative impact on the teaching effect. In other words, if we reduce the size of external sources of cognitive load, it will can create more learning space, leading to better learning results. According to cognitive load theory, some experts point out that intrinsic cognitive load mainly develops based on the difficulty level of teaching materials and the relevance of teaching material content, while external cognitive load mainly develops from the presentation method of teaching materials. Cognitive load is not helpful for learning. It is mainly caused by improper design of teaching materials and teaching activities. It may increase the demand for working memory and have a negative impact on learners’ learning effects. Cognitive load, which is closely related, is also related to teaching design and teaching activities. Material presentation is relevant because learners are encouraged to utilize free working memory areas for in-depth construction and automation of schemas.

It can be seen from the above that proper arrangement of teaching materials can achieve good learning effects, and the applicability of teaching materials can be inferred through learner responses. Therefore, if we can find a correlation between learner responses and teaching materials, in particular, infer the applicability of materials based on learner responses, it will help to determine whether the teaching materials are suitable teaching materials. This will become the current technology. Goals that people are eager to pursue.

In view of the above problems, the present invention proposes a method for analyzing the applicability of reading materials, which includes: causing the first electronic device to display a plurality of reading materials, and generating corresponding presentation synchronization signals based on the presentation order and presentation time of the plurality of reading materials; The learner watches the plurality of reading materials, so that a brainwave amplifier collects brainwave data including the brainwave signals of the learner when he watches the plurality of reading materials; and causes the second electronic device to receive information about the plurality of readings from the first electronic device. The presentation synchronization signal of the material and the brain wave data from the brain wave amplifier are used to obtain event-related potentials from the brain wave signal based on the correspondence between the presentation synchronization signal of the plurality of reading materials and the brain wave signal; and make the third The second electronic device compares the event-related potential with a preset standard material threshold to determine the applicability of the plurality of reading materials.

In the above method, the first electronic device transmits the presentation synchronization signal to the brainwave amplifier through a parallel port or a serial port, so that the brainwave amplifier can mark the presentation synchronization signal in the brainwave data.

In the above method, the second electronic device obtains the negative voltage fluctuation in the first period after the plurality of reading materials is presented or the highest peak in the period as the first value of the event-related potential, and obtains the first value of the plurality of reading materials. The positive voltage wave action in the second period after the material is presented or the highest peak in this period is the second value of the event-related potential, so as to compare with the standard material threshold to determine whether the plural reading materials are suitable teaching materials.

In the aforementioned method, before obtaining the event-related potential, the second electronic device performs band-pass filtering on the brain wave signal to remove low-frequency signal trends and high-frequency noise.

In the aforementioned method, the plural reading material includes the addend, the addend and the sum of the addends, and the learner determines whether the sum of the addends is right or wrong after viewing the plural reading material, thereby generating the brain wave signal.

In the above method, before obtaining the event-related potential, the second electronic device first segments the three types of events of the summand, the addend, and the sum of the addends, so as to retrieve each event of the plurality of reading materials. The brainwave signal ranges from 100 milliseconds before the presentation of a segment to 1000 milliseconds after the presentation, wherein the brainwave signal between 100 milliseconds before the presentation of the plurality of reading materials and the presentation of the plurality of reading materials is used as the reference base value.

The present invention also provides a computer-readable medium, which is used in a computing device or a computer and stores instructions to execute the aforementioned analysis method for the suitability of reading materials.

The present invention further proposes an analysis system for the applicability of reading materials, which includes: a first electronic device used to display multiple reading materials based on the presentation order of the plural reading materials. Generate presentation synchronization signals corresponding to sequence and presentation time; the brainwave amplifier is used to collect brainwave data including brainwave signals when the learner watches the plurality of reading materials when the learner watches the plurality of reading materials; and the second 2. Electronic equipment, which is used to receive the presentation synchronization signal of the plurality of reading materials from the first electronic equipment and the brain wave data from the brain wave amplifier, so as to base on the presentation synchronization signal of the plurality of reading materials and the brain wave signal. Correspondingly, the event-related potential is obtained from the brain wave signal, and the second electronic device compares the event-related potential with a preset standard material threshold to determine the applicability of the plurality of reading materials.

In the above system, the first electronic device transmits the presentation synchronization signal to the brainwave amplifier through a parallel port or a serial port, so that the brainwave amplifier can mark the presentation synchronization signal in the brainwave data.

In the above system, the second electronic device obtains the negative voltage fluctuation in the first period after the plurality of reading materials is presented or the highest peak in the period as the first value of the event-related potential, and obtains the first value of the plurality of reading materials. The positive voltage wave action in the second period after the material is presented or the highest peak in this period is the second value of the event-related potential, so as to compare with the standard material threshold to determine whether the plural reading materials are suitable teaching materials.

In the aforementioned system, before obtaining the event-related potential, the second electronic device performs band-pass filtering on the brain wave signal to remove low-frequency signal trends and high-frequency noise.

In the aforementioned system, the plural reading material includes the addend, the addend and the sum of the addends, and the learner determines whether the sum of the addends is right or wrong after viewing the plural reading material, thereby generating the brain wave signal.

In the aforementioned system, before obtaining the event-related potential, the second electronic device first segments the three types of events of the summand, the addend, and the sum of the addends to capture the complex The 100 milliseconds before the presentation of each segment of the reading material to the 1000 milliseconds after the presentation is used as the brain wave signal, wherein the brain wave signal between the 100 milliseconds before the presentation of the plural reading material and the appearance of the plural reading material is taken as Reference base value.

To sum up, the method, system and computer-readable medium for analyzing the applicability of reading materials of the present invention are through the continuous presentation of plural reading materials, and the learner responds to the plural reading materials while capturing the learner's information The brain wave data when viewing the plural reading materials are analyzed to determine whether the plural reading materials are suitable teaching materials. Specifically, the plural reading material can be a calculation formula that allows learners to decide whether the sum of the addends is correct by sequentially presenting the addend, the addend, and the sum of the addends. At this time, after the plural reading material is presented, the plural reading material is retrieved. The brainwave signals in different intervals are used as the N1 value and P2 value of the event-related potential, and are then compared with the preset standard material thresholds to determine whether the plural reading materials are suitable teaching materials. Based on this, the present invention uses the learner's brainwave data to estimate the suitability of teaching materials, and uses the learner's direct reaction as the basis for judgment, so that the judgment standard returns to the learner's actual learning reaction, which will make the judgment more accurate. Be realistic and objective.

1: Analysis system for the applicability of reading materials

11:First electronic equipment

12:Brainwave amplifier

13: Second electronic equipment

S101~S104: Steps

Figure 1 is a step diagram of the analysis method for the applicability of reading materials in the present invention.

Figure 2 is a system architecture diagram of the reading material suitability analysis system of the present invention.

Figure 3 is a schematic diagram of the reading material presentation process of the present invention.

Figure 4 is a flow chart of how the standard material threshold is generated in the present invention.

Figure 5 is a schematic diagram of the training material used to generate standard material thresholds according to the present invention.

The following describes the technical content of the present invention through specific embodiments. Those familiar with the art can easily understand the advantages and effects of the present invention from the content disclosed in this specification. However, the present invention can also be implemented or applied through other different specific implementation forms.

Figure 1 is a step diagram of the analysis method for the applicability of reading materials in the present invention. The purpose of this invention is to determine the applicability of reading materials. In short, teaching materials will affect learners' learning results. Generally speaking, teachers provide teaching materials for learners to read, but these teaching materials are the basis for teachers Prepare based on your own experience or general guidelines. Whether the teaching materials are suitable teaching materials cannot be known before learning. Usually, the applicability of the teaching materials can only be further judged after the learners have completed browsing. This obviously lacks immediate benefits in terms of learning effectiveness. , so it becomes very important to judge whether the teaching materials are suitable. Therefore, this case is an analysis method to judge the suitability of the reading materials.

As shown in FIG. 1 , in step S101 , the first electronic device is caused to display a plurality of reading materials to generate a corresponding presentation synchronization signal according to the presentation order and presentation time of the plurality of reading materials. This step is to display the plural reading materials through the first electronic device, with the purpose of providing learners with the opportunity to watch, and simultaneously capturing the learning status of the learners watching the plural reading materials by other devices. Therefore, while playing the plural reading materials, the plural reading materials are displayed. At the same time, the first electronic device will generate a corresponding signal based on the presentation order and presentation time of the plural reading materials. This signal is called a presentation synchronization signal, which is used to represent the order and time when the plural reading materials are presented in sequence, so that it can be followed by learning. Correspond to the readers' reactions when viewing multiple reading materials.

During specific implementation, the first electronic device can be a processing unit, processor, computer or server with data processing and computing capabilities, which has related applications for image presentation and data processing, and accepts external input instructions or data to Do plural readings.

In step S102, the learner is allowed to watch the plurality of reading materials, so that a brainwave amplifier collects brainwave data including the brainwave signals of the learner when watching the plurality of reading materials. This step explains that when the learner watches the plural reading materials played by the first electronic device, the brain wave amplifier will collect the brain wave data when the learner watches the plural reading materials. Specifically, when the learner watches the plural reading materials, Brain wave changes are caused by the content presented in multiple reading materials. At this time, brain wave signals are collected through a brain wave amplifier, and the brain wave signals of learners when watching multiple reading materials are obtained.

During specific implementation, the brainwave amplifier is used to amplify and convert the measured brainwaves into digital signals that can be received by the computer, and the learner can wear a brainwave sensing device, such as an electrode cap, with electrodes attached to the frontal lobe. The FZ electrode position collects signals and sends the signals to the brainwave amplifier for amplification and conversion.

In one embodiment, the first electronic device transmits the presentation synchronization signal to the brainwave amplifier through a parallel port or a serial port, so that the brainwave amplifier labels the presentation synchronization signal. in the brainwave data. In short, in order to match the order and time of the presentation of multiple reading materials with brain wave signals, the first electronic device will simultaneously generate presentation synchronization signals when playing multiple reading materials. The purpose is to make the stimulation of the multiple reading materials It can be calibrated together with the learner's reflection. This presentation synchronization signal will be sent to the brainwave amplifier through the parallel port or serial port, so that the brainwave amplifier can send the presentation synchronization signal and brainwave signals and other brainwave data to Back-end equipment performs analysis and processing.

In step S103, the second electronic device is caused to receive the presentation synchronization signal of the plurality of reading materials from the first electronic device and the brainwave data from the brainwave amplifier, so as to combine the presentation synchronization signal of the plurality of reading materials with the brainwave data. The corresponding relationship between the signals is to obtain the event-related potential from the brain wave signal. In this step, the second electronic device receives the presentation synchronization signal of the plurality of reading materials from the first electronic device and the brainwave data from the brainwave amplifier, or the presentation synchronization signal of the plurality of reading materials can be sent to the brainwave amplifier first. Amplifier, the second electronic device receives the presentation synchronization signal and brainwave data transmitted from the brainwave amplifier. At this time, the second electronic device obtains event correlation from the brainwave signal based on the corresponding relationship between the presentation synchronization signal and the brainwave signal. Potential, specifically, because the presentation order and time of multiple reading materials can be obtained from the presentation synchronization signal, plus the brain wave signal received by the brain wave amplifier, after the two are matched, the current time when a certain reading material is presented can be obtained What is the corresponding brain wave signal, and then the brain wave signal at the time when each reading material is presented can be obtained from the brain wave signal. That is, according to the presentation of each reading material, it can be regarded as an event, and can be obtained from the corresponding brain wave signal. The potential data required for this event is the aforementioned event-related potential.

In one embodiment, the plural reading material includes an addend, an addend, and a sum of addends, and the learner determines whether the sum of the addends is right or wrong after viewing the plural reading material, thereby generating the brain wave signal. In short, the plural reading material can be a calculation formula, including the "addend" plus the "addend" equal to the "sum of the addends". The first electronic device presents relevant data based on it, and each piece of data presented can be regarded as an event. Therefore, the above example includes three events. The learner will give feedback on the result of the "sum of the addends", that is, whether the result of the calculation formula is correct. In this way, the impact of this plural reading material on the learner's learning situation can be known, that is, Based on the learner's feedback results and corresponding brain wave signals, it can be used as the basis for reading materials to affect learning effectiveness, such as complex The calculation may cause learners to respond slower, and this subtle difference can be used to analyze the suitability of the reading material.

In one embodiment, before obtaining the event-related potential, the second electronic device first performs band-pass filtering on the brain wave signal to shave or remove low-frequency signal trends and high-frequency noise. Specifically, the second electronic device will analyze the original brainwave data from the FZ electrode after obtaining it. It will first perform a band-pass filtering operation on the original brainwave, which will determine the trend of low-frequency signals below 1 Hz. , and high-frequency noise above 50 Hz is shaved or removed, leaving only 1-50 Hz signals.

In another embodiment, before obtaining the event-related potential, the second electronic device first segments the situations presented by the plurality of reading materials. Taking the above example of the summand, the addend, and the sum of the addends, they can be divided into Segmentation (Epoch) is performed based on three types of events: "addend", "addend" and "sum of addends", and the 100 milliseconds before the presentation of each segment of the plural reading material to the 1000 milliseconds after the presentation are captured as The brainwave signal, that is, the interval from 100 milliseconds before to 1000 milliseconds after each event (each reading data is presented) will be intercepted as a brainwave signal, that is, the time point when the stimulus appears (when the reading data is presented) At 0 point, a total of 1100 milliseconds of brainwave signals (-100 milliseconds to 1000 milliseconds) from 100 milliseconds before the reading data appears to 1000 milliseconds after the end of the event are captured to become the brainwave signal of the event and will be attributed to the same event. Classify signals into categories. Regarding the classification of signals of the same event type, because the summand belongs to the first number that appears, the difficulty only requires the storage of short-term memory, and the adding stage requires the previous summand to be compared with the number of homes seen. The processing difficulty and complexity of mental arithmetic operations vary. Similarly, the cognitive process for deriving the sum of addends is also different from other types of events. Therefore, the same event type must be classified to facilitate subsequent analysis and calculations.

Furthermore, the brain wave signal between 100 milliseconds before the presentation of the plural reading material and the appearance of the plural reading material is used as the reference base value, that is, in order to use the brain wave that does not include the stimulus appearance state as the base correction reference, therefore The 100 milliseconds to 0 seconds before each paragraph event (when the reading material is presented) will be captured as a standard for correcting the baseline differences between different paragraphs. Specifically, this action is commonly known as baseline correction in event-related potentials. The present invention averages the potentials from -100 milliseconds to 0 milliseconds before the occurrence of reading material presentation, and calculates the average value of each point in the baseline period (belongs to linear operation) ), and then subtract this average value (also a linear operation) from each point in the waveform from 0 milliseconds to 1000 milliseconds after the presentation of the post-reading material. This can correct the differences in the entire electroencephalogram (EEG) collection process. During the time point process (for example, the difference between the first trial and the 20th trial may be more than five minutes), the overall brain wave potential baseline of the subject (ie, the learner) is slightly different, but the present invention uses the baseline Correction, whereby each event-related potential is corrected by the average potential before the event.

In addition, the second electronic device will also perform segment screening to check whether there is a potential fluctuation exceeding or lower than ±100 microvolts (μV) in each event segment. If there is, then shave or remove the potential fluctuation with severe impurities. The event segmentation with signal interference only retains the EEG signals with good quality, and all the good time segments are averaged side by side, and finally an event-related potential brain wave averaged by multiple similar events is obtained. The side-by-side averaging described here, That is, by classifying or filtering out event stimuli of the same category, and by superimposing events of the same category, the average event-related potential component data obtained will be more reasonable, because physiological noise or electromagnetic interference noise unrelated to the event has been eliminated. For example, if there are 35 trials, the potential points from -100 milliseconds to 1000 milliseconds will be averaged. In this way, the potential values at the -100 millisecond time point of all 35 events are averaged, -99 The average of the potential points at the time point of milliseconds, the average of the potential values at the time point of -98 milliseconds, and so on Push forward until the potential is averaged at the time point of 1000 milliseconds. Finally, the average event-related potential pattern of a single individual in the same category of events will be obtained. Taking the aforementioned range as an example, an event-related potential brain wave of 1100 milliseconds (range from -100 milliseconds to 1000 milliseconds) averaged over a plurality of events (for example, 35 times) is obtained.

In step S104, the second electronic device is caused to compare the event-related potential with a preset standard material threshold, thereby determining the applicability of the plurality of reading materials. This step is to compare the event-related potential with the preset standard material threshold to determine the applicability of multiple reading materials. Specifically, the judgment of the applicability of multiple reading materials can be carried out by establishing an analysis model in advance. The analysis model can be tested and trained by using many reading materials in advance to obtain the threshold value for standard materials, for example For example, it allows learners to read through different types of reading materials, and at the same time captures the learner's brain wave signals. Subsequently, based on the learner's reaction state, those brain wave signals are deduced as reading materials that are suitable for learners to read, thereby using these brain wave signals. The potential value of the brain wave signal is used as the standard material threshold for judgment, so this step is to judge the applicability of the reading material presented by the first electronic device based on the learner's brain wave signal. In specific implementation, the second electronic device can be a processing unit, processor, computer or server with data processing and computing capabilities. It has internal related applications for data processing and display of analysis results, and can handle resolution for a long time. and correction issues.

Regarding the aforementioned judgment criteria, in one embodiment, the second electronic device takes the negative voltage fluctuation in the first period (such as 100-150 milliseconds) after each plurality of reading materials is presented or the highest peak in this period as the event-related potential. The first value (such as N1 value), and the positive voltage wave action in the second period (such as 200-300 milliseconds) after the presentation of each plurality of reading materials, or the highest peak in that period is the second of the event-related potentials Value (such as P2 value) to match the preset standard material valve The values are compared, and when the N1 value is greater than the first standard value and the P2 value is less than the second standard value, it is determined that the plural reading materials are suitable teaching materials, and when the N1 value is less than the first standard value and the P2 value is greater than the second standard value , determining that the plural reading materials are inappropriate teaching materials. In one embodiment, the main components of the Event-Related Potential (ERP) include P1, N1, P2, N2, P3 and other components. The present invention takes the brain waves of the N1 and P2 segments for judgment, where, N1 refers to the negative voltage fluctuation at 100-150 milliseconds after the presentation of each plurality of reading materials or the highest peak of the period. P2 refers to the positive voltage wave action at 200-300 milliseconds after the presentation of each plurality of reading materials or the highest peak of the period. For the highest peak of the period, the present invention takes the average potential difference of each event segment as the N1 value and P2 value.

In one embodiment, according to pre-event analysis, when the reading material is suitable for learners, learners will have fast reaction times and high accuracy. At this time, the event-related potential part will have a large N1 value and a small P2 value. On the contrary, when the reading material is not suitable for the learner, the learner will have slow reaction time and low accuracy. At this time, the event-related potential part will have a small N1 value and a large P2 value. Through the above results, the present invention can define appropriate standard material thresholds, which can also be called standard N1 values and P2 values. When it is necessary to judge the applicability of reading materials later, when learners watch the reading materials, they can obtain the corresponding Brainwave data, and then obtain the N1 value and P2 value from it, and compare it with the preset N1 value and P2 value of the standard material threshold, and then judge whether the standard material is suitable for the learner, that is, when the N1 value is greater than the standard material threshold When the N1 value and the P2 value are less than the P2 value of the standard material threshold, the plurality of reading materials are determined to be suitable teaching materials. On the contrary, when the N1 value is less than the N1 value of the standard material threshold and the P2 value is greater than the P2 value of the standard material threshold, The plural reading materials are judged to be inappropriate teaching materials. In addition, unless the N1 value is small and the P2 value is large, or the N1 value is large and the P2 value is large, the applicability of the reading material cannot be judged and can only be judged by watching it again.

In summary, the present invention provides the presentation of reading stimulation through the first electronic device, that is, when reading materials are provided to learners in any way, the presentation order and presentation time of the reading materials are also recorded, which will be used to correspond to the learners. Learn the response, and the learner's response can use the brainwave amplifier to receive the brainwave signal. Among them, the first electronic device can send the presentation synchronization signal to the brainwave amplifier through the parallel port. Finally, the brainwave amplifier displays the brainwave data and The synchronized signal is sent to the second electronic device for analysis and judgment. Finally, the brainwave signal is classified according to events and averaged, and finally compared with the preset standard material threshold to determine the applicability of the reading material.

In addition, the present invention also discloses a computer-readable medium, which is applied to a computing device or computer having a processor (eg, CPU, GPU, etc.) and/or a memory, and stores instructions, and can utilize the computing device or computer. The computer executes the computer-readable medium through the processor and/or memory to perform the above methods and steps when executing the computer-readable medium.

Figure 2 is a system architecture diagram of the reading material suitability analysis system of the present invention. As shown in the figure, the reading material suitability analysis system 1 of the present invention includes a first electronic device 11, a brainwave amplifier 12 and a second electronic device 13, wherein the first electronic device 11, the brainwave amplifier 12, the second electronic device 13 The electronic devices 13 are electrically connected to each other.

The first electronic device 11 is used to display a plurality of reading materials and generate a corresponding presentation synchronization signal according to the presentation order and presentation time of the plurality of reading materials. In short, the first electronic device will display multiple reading materials for learners to view. At this time, the first electronic device 11 will simultaneously generate corresponding signals based on the presentation order and presentation time of the multiple reading materials, that is, it can correspond to the multiple reading materials. The synchronization signal is presented in the order and time of sequential presentation to provide subsequent correspondence with the learner's reaction when viewing multiple reading materials.

The brainwave amplifier 12 is used to collect brainwave data including brainwave signals when the learner watches the plurality of reading materials. Specifically, when a learner watches a plurality of reading materials played by the first electronic device 11, the brainwave amplifier 12 will collect brainwave data including the learner's brainwave data when watching a plurality of reading materials. The learner can wear a brainwave sensing device. The electrode collects signals at the FZ electrode position of the frontal lobe and then transmits them to the brainwave amplifier. The brainwave amplifier can amplify the measured brainwaves and convert them into digital signals that can be received by the computer.

During specific implementation, the first electronic device 11 can transmit the presentation synchronization signal to the brainwave amplifier 12 through the parallel port or the serial port, so that the brainwave amplifier can mark the presentation synchronization signal in the brainwave data. After that, the brainwave amplifier The wave amplifier 12 sends the presentation synchronization signal and brainwave data such as the brainwave signal to the second electronic device 13 for analysis and processing.

The second electronic device 13 is used to receive the presentation synchronization signal from the first electronic device 11 related to the plurality of reading materials and the brain wave data from the brain wave amplifier 12, so as to match the presentation synchronization signal of the plurality of reading materials with the brain wave data. The corresponding relationship between the signals is to obtain the event-related potential from the brain wave signal. The second electronic device 13 compares the event-related potential with the preset standard material threshold, and then determines the applicability of the plurality of reading materials.

The following is a specific example to illustrate that the plural reading material may include addends, addends and the sum of the addends, and the learner decides whether the sum of the addends is right or wrong after watching the plural reading material, and generates the brain wave signal, such as As shown in Figure 3, it is an addition calculation number. In each reading material presentation, only one message (such as numbers, symbols, etc.) appears on the screen at a time. There will be a 500 millisecond gaze point time before the addend is presented. Then, The summand appears for 1000 milliseconds, the plus sign appears for 1000 milliseconds, the addend appears for 1000 milliseconds, the equal sign appears for 1000 milliseconds, and the sum of the addends appears last, At this time, wait for the learner's reaction to the sum of the addends (i.e. answer right or wrong) and record it, and finally display a blank for 500 milliseconds to wait for the next reading material to be displayed. In addition, the presentation time of reading materials can be increased or decreased depending on the learner group or experimental needs. If the stimulus presentation time is shorter, the learning process requires higher concentration requirements.

Taking Figure 3 as an example, the learner sees 42+3=48 in sequence (only one number appears on the screen at a time). When 48 appears, the learner needs to judge that the previous calculation process 42+3 should be equal to 45. , then the answer that appears on the screen at this time is 48, because 45≠48. In this case, the learner should press the wrong response button. If the answer appears as 42+3=45, then press the correct response button. These button press responses will be simultaneously sent to the brain wave data to calibrate the learning process. This can calibrate whether the learner is seriously engaged in performing calculation tasks at the moment, or is just pressing random answers. If the answer is random, , then the brain waves at this time will be classified as invalid information input fragments and be shaved or removed.

Before obtaining event-related potentials, the second electronic device 13 first segments and classifies the brainwave signals according to the event content. That is, when the second electronic device 13 receives the brainwave signals, it first segments the addend and the addend. and the sum of addends are divided into three types of events to capture the 100 milliseconds before the presentation of each segment to the 1000 milliseconds after the presentation as brain wave signals. Among them, the 100 milliseconds before the presentation of the plural reading material to the plural reading The brainwave signal between the appearance of the material can be used as a reference base value. In short, an brainwave that does not include the stimulus appearance state is needed as a base correction reference. Therefore, -100 milliseconds to 0 milliseconds before the reading material is presented will be captured. The brain waves are used as the reference baseline value.

In one embodiment, before obtaining the event-related potential, the second electronic device 13 performs band-pass filtering on the brain wave signal to shave or remove low-frequency signal trends and high-frequency noise. In short, the original brain waves are first subjected to band-pass filtering to shave or remove the low-frequency signal trend below 1 Hz and the high-frequency noise above 50 Hz, which is easy to In other words, only signals from 1-50 Hz are retained.

In another embodiment, before obtaining the event-related potential, the second electronic device 13 first segments the situations presented by the plurality of reading materials. In the above example, the second electronic device 13 can segment the situation according to the summand, the addend, and the sum of the addends. Class events are segmented to capture the 100 milliseconds before the presentation of each segment of the plural reading material to the 1000 milliseconds after the presentation as brain wave signals. In other words, the time point when the stimulus appears when the reading material is presented is 0 Click to capture a total of 1100 milliseconds of brainwave signals (-100 milliseconds to 1000 milliseconds) from 100 milliseconds before the reading data is presented to 1000 milliseconds after the reading data is presented to become the brainwave signal of the event, and will belong to the same event category. The signals are classified, and the 100 milliseconds to 0 seconds before each paragraph event (when the reading material is presented) are used as the standard to correct the baseline difference between different paragraphs.

In addition, check whether there is a potential fluctuation exceeding or lower than ±100 microvolts (μV) in each event segment. If there is, shave or remove the event segment with severe noise interference, and only retain EEG signals with good quality are averaged side by side to obtain an event-related potential brain wave averaged over multiple events.

Finally, regarding the judgment of the applicability of the reading material, that is, the second electronic device 13 takes the negative voltage fluctuation in the first period (such as 100-150 milliseconds) after the plurality of reading materials are presented or the highest peak in the period as the The first value of the event-related potential (such as the N1 value), and the positive voltage wave action in the second period (such as 200-300 milliseconds) after the plurality of reading materials are presented, or the highest peak in that period is related to the event The second value of the potential (such as P2 value) is compared with the standard material threshold, so that when the N1 value is greater than the first standard value and the P2 value is less than the second standard value, The plurality of reading materials are determined to be suitable teaching materials, and when the N1 value is less than the first standard value and the P2 value is greater than the second standard value, the plurality of reading materials are determined to be inappropriate teaching materials. In the present invention, the average potential difference of each event segment is taken as the N1 value and P2 value. That is, after each learner watches the same series of reading materials, the same event (for example, the same summand) can be , addend or sum of addends) are averaged, and finally an average N1 value and an average P2 value can be obtained for each type of event.

As mentioned above, through prior experimental analysis, when the reading material is suitable for learners, the event-related potential part will have a large N1 value and a small P2 value. On the contrary, when the reading material is not suitable for learners, the event-related potential will The relevant potential part will have a small N1 value and a large P2 value. Based on this, the present invention can define appropriate standard material thresholds, which can also be called standard N1 values and P2 values. When the applicability of reading materials is to be judged later, the brain obtained by learners from watching the reading materials Obtain the N1 value and P2 value from the wave data and compare it with the preset N1 value and P2 value of the standard material threshold to determine whether the standard material is suitable for learners. When the N1 value is greater than the N1 value of the standard material threshold and P2 When the value is less than the P2 value of the standard material threshold, it is determined that the plural reading materials are suitable teaching materials; and when the N1 value is less than the N1 value of the standard material threshold and the P2 value is greater than the P2 value of the standard material threshold, the plural reading materials are determined Inappropriate teaching materials.

In the above example, the present invention mainly uses the N1 value and P2 value of the summand and the addend as the basis for judgment. This is used for experiments and verifications of the present invention, but is not limited thereto.

Figure 4 is a flow chart of how the standard material threshold is generated in the present invention. As shown in the figure, when reading materials are presented to learners, after learners watch the reading materials, they can obtain corresponding brain waves through brain wave sensing devices, such as electroencephalography (EEG) and event-related potentials (Event- Related Potential (ERP), this brain wave signal will be used to infer reading materials Whether the reading material is appropriate or not, while the learner is watching the reading material, the learner’s brain processing and behavioral response (including the accuracy of the learner’s calculations) can further predict whether the reading material is appropriate or inappropriate. The aforementioned behavioral response (reaction time and accuracy rate) ) and brainwave (N1 value and P2 value) responses will be analyzed together. In one embodiment, when the N1 value is small and the P2 value is large, the accuracy of the learner's response is low, so the reading material is inappropriate. In addition, When the N1 value is large and the P2 value is small, the accuracy of the learner's response is high, which means that the reading material is appropriate.

For example, reading textbooks that use Chinese numerals in capital letters, such as Shen + Jiu = Shi Yi, are disadvantageous to learners, while reading textbooks that use Arabic numerals, such as 3+9=11, are beneficial to learners. Reading materials for learners. Through the above method, according to the use of different reading materials, we can summarize the relevant thresholds of the potential values of brain wave signals. That is, after using different materials and experiments, we can obtain an analytical model for judging the applicability of reading materials. Standard material threshold.

In addition, if the N1 value is small and the P2 value is large, or the N1 value is large and the P2 value is small, it will be judged as unable to be analyzed, and re-sampling and re-experiments will be performed.

Figure 5 is a schematic diagram of the training material used to generate standard material thresholds according to the present invention. In order to distinguish that different types of reading teaching materials will have different learning results, the present invention mainly uses addition calculation formulas in the generation and training process of standard material thresholds, but uses different numerical presentation methods and presents them through different types of teaching materials. Capture learners' behavioral responses and brainwave responses to estimate how to define the standard material threshold. Specifically, the present invention uses stimulation materials for training, including Arabic numerals stimulation materials, colored Arabic numerals materials, and Chinese numeral capitalization stimulation materials. During the training operation, participants need to perform different tasks during the evaluation process. Simple addition and arithmetic tasks under category reading stimulation. The stimulus materials will be presented in sequence, and participants must evaluate them through mental arithmetic. Evaluate whether the sum of the addend plus the addend is equal to the sum of the addends displayed on the screen, and perform a case response. Press the right button for the correct sum, and press the left button for the wrong sum. At the same time, the timing of each material stimulation will be synchronized. Points are synchronously annotated in the brainwave data.

Through the above training operations, it can be seen that the Arabic numeral stimulus materials have the least impact on the participants' responses, while the capitalized Chinese numeral stimulus materials rarely appear in general calculation formulas, so they will affect the participants' responses. Although the colored Arabic numeral materials are also Arabic The numbers are presented, but because they contain colors, they will somewhat affect the participants’ reactions. In summary, through the changes of different stimulation materials, it can be concluded that different materials have a certain impact on learners. The present invention obtains the potential values of relevant brain wave signals for analysis and statistics, and preferably finds out the potential values that can be used to judge the suitability of reading materials. Threshold, through the brain wave reaction of learners when watching, it will be possible to more accurately and quickly determine whether this reading material is a suitable teaching material.

Modules, units, devices, equipment, servers, etc. of the present invention include microprocessors and memories, and algorithms, data, programs, etc. are stored in memories or chips. The microprocessor can load data from the memory or Algorithms or programs perform data analysis or calculations, etc., which will not be described in detail here. In other words, the electronic device and the brainwave amplifier of the present invention belong to different independent structures. However, the electronic device is not limited to ordinary computers. The relevant components for signal processing and data calculation can be software, but are not limited to this. Therefore, the component of the present invention can be designed as a calculator, a memory, a storage, or a firmware architecture with a processing unit, or it can be presented as a combination of software program, hardware, or firmware architecture.

To sum up, the method, system and computer-readable medium for analyzing the applicability of reading materials of the present invention are mainly based on learners watching the continuous presentation of multiple reading materials, and then capturing the learners' brainwave responses and behavioral responses ( Feedback results) to judge whether the reading material is appropriate Suitable, in which the brainwave signal will capture event-related potentials in different intervals, that is, N1 value and P2 value, and then compare it with the standard material threshold to determine whether the plural reading materials are suitable teaching materials; in addition, the present invention Through training operations with different stimulation materials, the standard material threshold is derived. Among them, the present invention uses three operation materials: Arabic numeral stimulation materials, colored Arabic numerals materials, and Chinese character capital capital stimulation materials, and based on the responses of the participants and brain wave conditions, so it is highly accurate. Therefore, the method and system for judging the applicability of reading materials of the present invention can effectively and accurately analyze the reading materials. Compared with traditional manual judgment or only after-the-fact analysis, In non-real-time methods such as inspection, the present invention will have better benefits.

The above embodiments are only illustrative to illustrate the principles and effects of the present invention, but are not intended to limit the present invention. Anyone skilled in this art can modify and change the above embodiments without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be as listed in the patent application scope described below.

S101~S104: Steps

Claims (13)

A method for analyzing the applicability of reading materials, which includes: making a first electronic device with an application program for image presentation and data processing display plural reading materials for learners to view, and using the application program to read the plurality of reading materials according to the plurality of reading materials. Data processing is performed on the presentation order and presentation time of the reading materials to generate corresponding presentation synchronization signals; the learner is asked to watch the plural reading materials, so that a brain wave amplifier collects the brain waves including the learner's brain waves when watching the plural reading materials. Brainwave data of the signal; causing the second electronic device to receive the presentation synchronization signal from the first electronic device regarding the plurality of reading materials and the brainwave data from the brainwave amplifier, so as to synchronize the presentation synchronization signal with the plurality of reading materials based on the The corresponding relationship between the brainwave signals is to obtain the event-related potential from the brainwave signal; and to cause the second electronic device to compare the event-related potential with the preset standard material threshold, and then determine the suitability of the plurality of reading materials. sex. The method for analyzing the applicability of reading materials as described in claim 1, wherein the first electronic device transmits the presentation synchronization signal to the brainwave amplifier through a parallel port or a serial port, so that the brainwave amplifier can process the presentation Synchronization signals are annotated in this brainwave data. The analysis method for the applicability of reading materials as described in request item 1, wherein the second electronic device takes the negative voltage fluctuation in the first period after the plurality of reading materials are presented or the highest peak in that period as the event-related The first value of the potential, and the second value of the positive voltage wave action in the second period after the plurality of reading materials are presented or the highest peak in that period is the event-related potential, for comparison with the standard material threshold , in order to determine whether the plural reading materials are suitable teaching materials. The method for analyzing the applicability of reading materials as described in request item 1, wherein the second electronic device performs band-pass filtering on the brain wave signal to remove low-frequency signal trends and high-frequency noise before obtaining the event-related potential. news. The analysis method for the applicability of reading materials as described in claim 1, wherein the plural reading materials include addends, addends and sums of addends, and the learner determines the sum of addends after watching the plural reading materials. Right or wrong, based on which the brain wave signal is generated. The analysis method for the applicability of reading materials as described in request item 5, wherein the second electronic device first obtains the three types of events of the summand, the addend and the sum of the addends before obtaining the event-related potential. Carry out segmentation to capture the 100 milliseconds before the presentation of each segment of the plural reading material to the 1000 milliseconds after the presentation as the brain wave signal, wherein, the 100 milliseconds before the presentation of the plural reading material to the appearance of the plural reading material The brainwave signal during the period is used as a reference value. A computer-readable medium used in a computing device or computer and storing instructions to execute the method for analyzing the suitability of reading materials as described in any one of claims 1 to 6. An analysis system for the applicability of reading materials includes: a first electronic device, which has an application program for displaying images and data processing to display multiple reading materials for learners to view, and uses the application program to Data processing is performed on the presentation order and presentation time of the plural reading materials to generate corresponding presentation synchronization signals; the brainwave amplifier is used to collect information including the learner's viewing of the plural reading materials when the learner watches the plural reading materials. The brainwave data of the brainwave signal at the time; and the second electronic device is used to receive the presentation synchronization signal from the first electronic device regarding the plurality of reading materials and the brainwave data from the brainwave amplifier to according to the plurality of reading materials. reading material The corresponding relationship between the presentation synchronization signal and the brain wave signal is obtained, and the event-related potential is obtained from the brain wave signal. The second electronic device compares the event-related potential with the preset standard material threshold, and then determines the plural reading Suitability of materials. The analysis system for the applicability of reading materials as described in claim 8, wherein the first electronic device transmits the presentation synchronization signal to the brainwave amplifier through a parallel port or a serial port, so that the brainwave amplifier can process the presentation Synchronization signals are annotated in this brainwave data. The analysis system for the applicability of reading materials as described in claim 8, wherein the second electronic device takes the negative voltage fluctuation in the first period after the plurality of reading materials are presented or the highest peak in that period as the event-related The first value of the potential, and the second value of the positive voltage wave action in the second period after the plurality of reading materials are presented or the highest peak in that period is the event-related potential, for comparison with the standard material threshold , in order to determine whether the plural reading materials are suitable teaching materials. The analysis system for the applicability of reading materials as described in request item 8, wherein the second electronic device performs band-pass filtering on the brain wave signal to remove low-frequency signal trends and high-frequency noise before obtaining the event-related potential. News. An analysis system for the applicability of reading materials as described in claim 8, wherein the plural reading materials include addends, addends and sums of addends, and the learner determines the sum of addends after viewing the plural reading materials. Right or wrong, based on which the brain wave signal is generated. The analysis system for the applicability of reading materials as described in claim 12, wherein the second electronic device first analyzes the three types of events of the summand, the addend and the sum of the addends before obtaining the event-related potential. Carry out segmentation to capture the 100 milliseconds before the presentation of each segment of the plural reading material to the 1000 milliseconds after the presentation as the brain wave signal, wherein the plurality of reading materials The brain wave signal between 100 milliseconds before the presentation and the appearance of the plural reading material is used as the reference base value.

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