WO2019024247A1

WO2019024247A1 - Data exchange network-based online teaching evaluation system and method

Info

Publication number: WO2019024247A1
Application number: PCT/CN2017/105594
Authority: WO
Inventors: 卢启伟; 杨宁; 刘胜强
Original assignee: 深圳市鹰硕技术有限公司
Priority date: 2017-08-01
Filing date: 2017-10-11
Publication date: 2019-02-07
Also published as: CN107480872A; CN107480872B

Abstract

The present invention provides a data exchange network-based online teaching evaluation system and method. The system comprises a course unit, a physiological monitoring unit, a psychological analyzing unit, an application environment unit, an adjusting unit, an evaluation unit, and a prediction unit. Also disclosed is a method using the system. By means of the system and the method, physiological state data of a student can be obtained, so that the accuracy of evaluating the physiological state of the student is improved, targeted adjustment based on the physiological state can be performed on the teaching and evaluation of the student, and moreover, the student is enabled to study at a working state more closer to the real.

Description

Online teaching evaluation system and method based on data exchange network

Technical field

The invention relates to the technical field of network education, in particular to an online teaching evaluation system and method based on a data exchange network.

Background technique

At present, web-based online learning is a widely used form of distance learning. With rich digital resources and support and support from various learning support systems, online learners can flexibly adjust and control their learning activities and learning processes. Give full play to the autonomy of learners. The scale of China's online education market has reached 200 billion yuan per year, and the number of learners has reached 100 million, covering areas such as higher education, primary and secondary education, vocational training and preschool education.

Due to the important characteristics of online education, the spatial separation of teaching and learning, the lack of communication between teachers and online learning in online education is likely to cause loneliness in the online learning process. In addition, a considerable proportion of online education is Adult students, who have multiple pressures to work, study and live. If the learning difficulties they encounter cannot be solved effectively and promptly, they will be very prone to anxiety. If these negative emotions cannot be controlled in time, It is easy for online learners to lose interest in online learning, which may eventually lead to their termination of learning.

However, China's online education institutions pay more attention to the provision of academic technical services, rather than academic support services. In particular, emotional support services are still in a weak link. Some teachers in online education institutions in China still maintain traditional teaching concepts. Paying more attention to the teaching process, and arguing that his duty is to impart more knowledge and tutoring learning, while ignoring his role as a psycho-educator in the online teaching classroom. Emotions have a greater impact on the learning state, how to use emotions to improve learning effects and Assessing the learning effect is an urgent problem to be solved.

At present, there have been prior art techniques that have been associated with student emotions and learning outcomes.

For example, the “Formability Evaluation System” with the publication number CN102542849B provides a data recording physiological behaviors such as student's answering behavior, facial expression, and EEG and ECG variability, and comprehensively analyzes the psychological and physiological state of students during the answering process. Improve the accuracy of the assessment.

Another example is the disclosure of CN104299178A "a facial recognition-based network teaching method and system In the network teaching, real-time monitoring of whether the students are learning, the expression management provided to help the teacher to understand whether the students are seriously studying, the log management provided to monitor whether the students should complete the learning content, to avoid absenteeism during the learning process or Alternative phenomena.

For another example, in the journal literature, "Zhejiang Medical Education" published the article "Correlation between Candidates' Psychological Status and Achievements" in September 2008. The article pointed out that there is a very significant correlation between the psychological state and the level of the candidates' examination. Under different psychological conditions, there are also obvious differences in the scores of candidates. In the case of the previous test-oriented education and the transition to quality education mode, students should pay more attention to the cultivation and training of students' psychological and physical qualities.

However, the above learning system has the following problems: the physiological state is relatively rough, and the accuracy of determining the student's true learning state is low; focusing on the evaluation of the test state can only reflect the objective state of the student, but not the student's learning. Conduct targeted guidance to improve learning efficiency; using traditional test methods, compared with the application in the real working environment, there are still big differences.

Summary of the invention

In view of this, the present invention aims to provide an online teaching evaluation system and method based on a data exchange network.

According to an aspect of the present invention, an online teaching evaluation system based on a data exchange network is provided, including:

The course unit, including the teaching unit and the evaluation unit, is used to provide the students with the teaching and evaluation courses;

The evaluation unit gives an overall evaluation of the student's course learning and evaluation.

The above evaluation system also includes:

Physiological monitoring unit to monitor physical signs of students;

The psychological analysis unit comprehensively analyzes the psychological state reflected by the physiological signs of the students, and the analysis result is the psychological state achievement, which is used for the evaluation unit to give an overall evaluation of the students' learning situation and evaluation situation;

The application environment unit, according to the teaching requirements of the course unit, places the student in a work scene close to reality, and guides the student to complete the course or complete the evaluation in the work scene;

The adjustment unit, including the teaching adjustment unit and the evaluation unit, adjusts the teaching and evaluation content according to the teaching requirements and the psychological state of the student;

The prediction unit, according to the student state given by the psychoanalysis unit and the overall evaluation given by the evaluation unit, gives the student the level that can be achieved under the best and worst conditions of the psychological state.

Further, the course unit can record the test scores of the students during the course of the course and the test scores during the evaluation process.

Further, the physiological monitoring unit includes:

a facial feature monitoring unit for monitoring facial features of the student, and then performing facial feature-based evaluation on the psychological state of the student;

The voice monitoring unit is configured to monitor the volume, speech rate, and pause characteristics of the student voice, and then perform a voice feature-based evaluation on the psychological state of the student;

a skin monitoring unit for monitoring a student's pulse and skin moistness, thereby making a skin feature-based evaluation of the student's psychological state;

as well as,

The action monitoring unit is configured to monitor the physical movements of the students, and then make an evaluation based on the action characteristics of the mental state of the students.

Further, the action monitoring unit includes:

The eye monitoring unit is configured to monitor the movement of the student's eye, and then make an evaluation based on the eye feature on the psychological state of the student;

as well as,

The gesture monitoring unit is configured to monitor the speed and acceleration of the student's limb end swing, and then make a gesture-based evaluation of the student's mental state.

Further, the psychoanalyst unit includes:

a first determining unit, configured to determine consistency of a mental state evaluation performed by the facial feature detecting unit and the voice monitoring unit;

The second determining unit further judges the psychological state evaluation made by the skin monitoring unit and/or the motion monitoring unit when the facial feature monitoring unit and the voice monitoring unit do not agree on the psychological state evaluation. The psychological state of the student;

The manual determining unit, when the determining unit cannot accurately determine the mental state, the system enters the manual determination mode to generate the psychological state given by the first and second determining units, and on this basis, the mental state is manually given by the teacher and entered. system.

Further, the evaluation unit gives an overall evaluation of the student's course learning situation and the evaluation situation. The overall evaluation includes test scores and mental state scores. Specifically, the test scores are composed of the test scores of the students in the course of the course and the test scores of the test unit modules; the mental state scores are analyzed by the psychoanalytic unit. The information feedback from the physiological monitoring unit is analyzed during the examination.

Further, the application environment unit includes:

1) a virtual reality unit that simulates a scene that produces a three-dimensional space required by the teaching environment, and provides a simulation of the visual, auditory, and tactile senses of the student in the environment; or

2) Augmented reality unit, applying the virtual information required by the teaching environment to the real teaching scene, so that the real teaching scene and the virtual object or information are superimposed in the same picture or space in real time; or

3) A combination of a virtual reality unit and an augmented reality unit.

According to another object of the present invention, an online teaching evaluation method based on a data exchange network is provided, comprising the following steps:

S10: Student login and registration course;

S20: The teaching course unit generates a realistic work scene by applying the environment unit according to the requirements of the student registration course, and provides a teaching course to the student in the scene;

S30: monitoring the physiological signs of the students during the teaching process;

S40: Comprehensive analysis of the psychological state reflected by the student's physiological signs;

S50: Adjust the teaching curriculum according to the teaching requirements and the psychological state of the students, so that the teaching curriculum matches the psychological state of the students, and conduct a classroom test, and record the psychological state achievements in the process;

S60: After the completion of the teaching course, enter the evaluation course, according to the requirements of the student registration course, through the application of the environmental unit, generate a realistic work scene, and evaluate the students in the scene;

S70: During the evaluation process, the physical signs of the students are monitored;

S80: Comprehensive analysis of the psychological state reflected by the student's physiological signs;

S90: According to the teaching requirements and the psychological state of the students, the content of the assessment is adjusted, the content of the assessment is matched with the psychological state of the student, and the examination test is performed, and the psychological state achievement in the process is recorded;

S100: According to the student's test scores and mental state scores in the S50 step, the test test scores and the mental state scores in the S90 step, the students are given an overall evaluation about the course, and the students are given the most psychological state. Good and psychological level can be achieved in the worst case.

Further, the monitoring of the physiological signs includes:

The facial feature monitoring unit is used to monitor the facial features of the student, and then the facial features are evaluated based on the psychological state of the student;

Through the voice monitoring unit, the volume, speech rate, and pause characteristics of the student's voice are monitored, and then the voice state-based evaluation is performed on the student's psychological state;

Through the skin monitoring unit, the pulse and skin moistness of the student are monitored, and then the skin condition is evaluated based on the psychological state of the student;

as well as,

Through the action monitoring unit, the student's body movements are monitored, and then the behavioral characteristics of the students are evaluated based on the action characteristics.

Further, the action monitoring includes:

Through the eye monitoring unit, the movement of the student's eye is monitored, and then the psychological state of the student is evaluated based on the characteristics of the eye;

as well as,

Through the gesture monitoring unit, the speed and acceleration of the student's limb end swing are monitored, and then the mental state of the student is evaluated based on the gesture feature.

Further, the comprehensive analysis of the mental state includes:

Using the first determining unit, determining the consistency of the psychological state evaluation made by the facial feature detecting unit and the voice monitoring unit;

Using the second determining unit, when the facial feature monitoring unit and the voice monitoring unit give inconsistencies in the psychological state evaluation, the psychological state evaluation by the skin monitoring unit and/or the motion monitoring unit is further Judging the psychological state of the student;

When the determination unit cannot accurately determine the mental state, the manual determination mode is entered, and the psychological state given by the first and second determination units is generated. On this basis, the mental state is manually given by the teacher and entered into the system.

Further, the application environment unit is used to generate a real work scenario, including:

1) simulating a scene in a three-dimensional space required for the teaching environment through a virtual reality unit, providing a simulation of the visual, auditory, and tactile senses of the student in the environment; or

2) Applying the virtual information required by the teaching environment to the real teaching scene through the augmented reality unit, so that the real teaching scene and the virtual object or information are superimposed in the same picture or space in real time; or

3) Generate a work scene through a combination of virtual reality and augmented reality.

Through the system and method of the present invention, the whole process of monitoring and adjusting the learning process is realized, and the students are learned and tested in the real application environment, thereby achieving the teaching purpose and learning and applying.

The Summary is provided to introduce a selection of concepts in the <Desc/Clms Page number> The Summary is not intended to identify key features or essential features of the claimed subject matter, and is not intended to limit the scope of the claimed subject matter. In addition, the claimed subject matter is not limited to being construed in any part of the invention. Implementation of any or all of the disadvantages mentioned.

DRAWINGS

1 is a schematic diagram of an online teaching evaluation system based on a data exchange network according to the present invention; and

2 is a schematic diagram of an online teaching evaluation method based on a data exchange network according to the present invention.

Detailed ways

In view of the problems existing in the prior art, the present invention provides an online teaching evaluation system and method based on a data exchange network, which aims to obtain a more accurate state of the student's mental state, and uses the mental state to adjust the teaching course and the examination evaluation. At the same time, teaching in a more realistic environment makes the student's knowledge system more complete and practical.

In order to make the technical solutions of the present invention clearer and clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

1 is a schematic diagram of an online teaching evaluation system based on a data exchange network according to the present invention.

The device is suitable for online teaching and evaluation under the data exchange network. Firstly, the teaching plan is formulated according to the syllabus and provided to the course unit 10, and the course unit 10 includes a teaching course unit 101 and an evaluation course unit 102 for providing teaching to the students. And the assessment course;

The physiological monitoring unit 20 is configured to monitor physiological signs of the student, and the physical signs obtained by the monitoring reflect the learning state of the student, and the learning state is determined by the psychoanalyst unit 30, thereby obtaining the real-time state of the student.

When people are learning, when their physical functions are in different conditions and learning different contents, the posture and mental state of the body will change accordingly, causing the learners to show different states. Therefore, it is possible to analyze the learner's physical parameters and Position, etc., to determine what state it is in.

In a specific embodiment, the face monitoring unit 201 is used to monitor the facial features of the student. The facial features reflect the expression and mood of the person, and the mood of the person is directly related to the learning state. People's expressions can be divided into joy, sadness, anger, surprise, fear and disgust. Different expressions, such as human eyes, lips, and eyebrows, will change. The image monitoring of the above features can obtain the real-time status of learners. Status includes attention and fatigue. The face monitoring unit 201 is composed of an image acquiring unit 2011, an image processing unit 2012, and an image state analyzing unit 2013; the image acquiring unit 2011 can collect the face image by a digital camera; the image processing unit 2012 passes the brightness, color space, and color of the image. The information features such as gray scale are extracted to extract the physiological features required for learning state recognition. For example, the eyes are darker than other areas of the face, the gray value is relatively low, and the gray level change rate is faster than other areas. By extracting and calculating the gray features, the position of the eye and the direction of the eyeball can be determined; For example, the color of the lips is red, which is a common feature of human beings, and has a significant difference from the color of the skin color. Therefore, the positioning and recognition of the lips can be directly realized by separating the red pixels in the RGB image. After the facial features are obtained, the learner's learning state may be determined according to the association between the above features and the learning state. For example, after obtaining the eye features, the learner may be determined to be asleep according to the opening and closing of the eyes; The frequency of blinking determines whether the learner has inattention and fatigue. Specifically, a person blinks 10-15 times per minute. When the learner is in a state of fatigue, the frequency of blinking will decrease significantly. When the frequency of blinking is less than 10 times per minute, it usually enters a state of fatigue. When it is severely fatigued, the eye will always be in an eye-closed state, and accordingly, the attention will decrease. For example, after obtaining the characteristics of the lips, it can be further judged. The state of the learner, common lip characteristics are yawning, biting lips, licking lips, pouting, pouting, rising mouth, etc. The owe indicates that the learner may have entered fatigue. The biting of the lips and the licking of the lips usually indicate that the learner is under greater pressure. The pouting indicates that the learner is disdainful or angry. The pouting indicates that the learner is dissatisfied or dissatisfied, and the rising of the mouth indicates the joy. For example, after obtaining the characteristics of the eyebrows, the state of the learner can be further judged. The common eyebrow features are stretched, frowning, eyebrows, eyebrows, etc. The eyebrow stretch indicates that the mood is calm and in a happy state, and the frown indicates that it is in trouble. Or bored, eyebrows indicate the importance of talking about the content of the discussion, and raising the eyebrows shows joy.

In another embodiment, the voice monitoring unit 202 is used to monitor the student's volume, speech rate, and pause. The voice feature reflects the person's mood from another angle, and the person's mood is directly related to the learning state. The voice monitoring unit 202 includes a voice collecting unit 2021, a voice processing unit 2022, and a voice state analyzing unit 2023. The voice collecting unit 2021 acquires the voice, and extracts parameters such as volume, speech rate, pause, and pitch frequency through the voice processing unit 2022, and then obtains the mental state of the student by analyzing the voice state analyzing unit 2023. For example, the volume is usually the external performance of short-term energy. When the emotion is more exciting, the volume is higher, and the energy curve fluctuates greatly. When the person's mood is low, the volume energy is small and the energy curve is relatively stable. According to the study of energy, there is a certain correlation between emotion and the amplitude of speech. Specifically, anger and happiness have higher energy. The expression is the amplitude of the speech signal on the envelope, and the energy of the neutral speech. Relatively low, the amplitude amplitude is not very obvious; for example, the speed of speech and pauses reflect the continuity of the speaker's thinking. The change of speech rate is often the embodiment of emotional changes, and the student's voice gradually changes from normal speed to slow. It may be that they are dissatisfied with the way they talk or talk, so that they can't afford to be interested, and the speed of speech changes from normal to fast, may be interested in the content of the conversation, or there is panic in the content of the conversation or Uneasy, cover up the above emotions by quick speech; if the basic audio frequency is another representation of emotion, the gene frequency characteristic curves are different between different emotions, so the gene frequency can be analyzed according to the maximum and minimum values of the gene frequency in different emotions. Performance between.

In another embodiment, the skin monitoring unit 203 is used to monitor the pulse and skin moistness of the student, and the pulse and skin moistness reflect the person's mood from another angle. The skin monitoring unit 203 includes a skin moisture sensor 2031, a pulse sensor 2032, and a skin state analyzing unit 2033. The skin moisture level data is obtained by the skin moisture sensor 2031, the body pulse data is obtained by the pulse sensor 2032, and the above data is analyzed by the skin state analyzing unit 2033 to obtain the psychological state of the student. For example, when a person is in a nervous mood, the palm of the hand increases significantly, and the pulse increases. When the person's state of mind is calm, the pulse is stable and the palm of the hand is low. Through the changes in the above signs, it is possible to The student’s mood changes now.

In another embodiment, the gesture monitoring unit 204 is employed to monitor the student's gestures and reflect the student's emotions from another perspective. The gesture monitoring unit 204 includes a gesture sensor 2041 that records the position of the hands and/or fingers, the swing speed, the acceleration, and the like, and also includes a gesture state analysis unit 2042. The data of the two-handed data obtained by the gesture sensor 2041 is analyzed by the gesture state analyzing unit 2042 to obtain the psychological state of the student. For example, the hand keeps playing with some things around you. At this time, it is usually a state of psychological stress or carelessness; for example, frequently touching the forehead with hands, it means very tired, or feeling anxious; for example, the pickpocket usually expresses the inner heart. Expecting emotions, quickly swaying the palms, expressing the eagerness of the inner eagerness to try, and slowly licking the palm of your hand, it means that when things encounter a decisive choice, the hesitation is uncertain, or the things to do are too much resistance; The usual back hand indicates calmness, but if one hand holds the wrist or arm of the other hand behind the back of the hand, it is a posture that is unconsciously used because of nervousness in order to control one's nervousness.

In another embodiment, an eye monitoring unit 205 is further included for monitoring the eye movements of the student, thereby making an evaluation based on the eye features of the mental state of the student. The eye monitoring unit 205 includes an eye sensor 2051 that records an eye motion, and further includes an eye state analyzing unit 2052. The eye related data is obtained by the eye sensor 2051, and the above data is analyzed by the eye state analyzing unit 2052 to obtain the psychological state of the student. For example, the visual direction of the eyeball is monitored. When the eye looks like a left and rotates slowly, it often expresses recollections. The eyeballs frequently look around and sometimes appear to be thinking; for example, the monitoring of the size of the pupil diameter and the degree of diameter change, in all emotions. In the state, the obsessive observer has the largest pupil diameter and the strongest degree of change; followed by impatience and calmness, the observer of emotional anxiety has the smallest pupil diameter and the weakest degree of change, and the change of pupil reflects the state of emotion and changes. Another example is that emotional stress or excessive fatigue may manifest as eyelids.

The psychological analysis unit 30 is further configured to comprehensively analyze the psychological state reflected by the physiological signs of the student. According to the external representation of the psychological state, the mental state is usually reflected by certain postures or performances of the body, but In some cases, the same physical characteristics may correspond to different mental states. For example, the eyelids are an external manifestation of emotional stress or excessive fatigue. Therefore, the psychoanalyst unit 30 is required to provide a single unit given by the above monitoring and monitoring units. The evaluation is integrated to give a more accurate mental state.

In another embodiment, the psychoanalytic unit 30 includes a first determining unit 301 for determining the consistency of the psychological state evaluation made by the face monitoring unit 201 and the voice monitoring unit 202, when the face monitoring When the unit 201 and the voice monitoring unit 202 each independently give the same emotional judgment, the first state determining unit 301 can directly derive the emotional state at this time. When the face monitoring unit 201 and the voice monitoring unit 202 give different emotion determinations, the second determining unit 302 is activated, and the skin monitoring unit 203 and/or the motion monitoring unit composed of the gesture monitoring unit 204 and the eye monitoring unit 205 are activated. The psychological state evaluation further determines the psychological state of the student; and when the above determining unit cannot accurately determine the mental state, the system enters the manual determination mode to generate the psychological state given by the first and second determining units, on the basis of The mental state is manually given by the teacher and entered into the manual decision unit 303. The advantage of using the above psychoanalytic unit is that the accuracy of the judgment is improved while ensuring efficiency.

Also included is an application environment unit 40 that places the student in a work scene that is close to reality in accordance with the teaching requirements of the course unit 10, in which the student is instructed to complete the course or complete the assessment.

In another embodiment, the application environment unit 40 includes:

1) a virtual reality unit 401, simulating a scene of a three-dimensional space required to generate a teaching environment, providing a simulation of visual, auditory, and tactile sensations of the student in the environment; or, 2) an augmented reality unit 402, which requires virtual information required by the teaching environment Apply to the real teaching scene, so that the real teaching scene and the virtual object or information are superimposed in the same picture or space in real time; or 3) the combination of the virtual reality unit and the augmented reality unit.

The application environment unit 40 adopting the above information technology includes the following advantages: firstly, it can solve the boring and practical problems of the existing teaching; secondly, it can solve the problem of lack of communication between the existing online teaching students and between the students and the teachers. With the above device, students can see teachers or other students in the same scene in the virtual scene, and can complete the team collaboration project. Finally, in the teaching process, the teacher can observe the students' behaviors from the perspective of the students, so as to understand the student learning process. Some of the misunderstandings in the middle.

The device is particularly suitable for applications in the field of mechanical design. For example, in the mechanical design process, the drawing sequence of the planar graphic is as follows, drawing a reference line, drawing a known line segment, drawing a middle line segment, drawing a connecting line segment, checking and finishing; and dimensioning The order is as follows, select the reference, mark the positioning size of the known line segment, mark the fixed size of the known line segment, mark the size of the middle line segment, mark the fixed size of the connecting line segment, check and adjust. During the teaching process, students often have a big difference between the final design drawing and the standard drawing because of the wrong drawing order. The drawing order is related to the student habit. In the context of the application environment unit, the instructor can observe the drawing from the perspective of the student. According to the monitoring of the eye movements by the eye monitoring unit, the order of the students' eyes on the drawings can be understood. In the case that the students have an incorrect way of observation, the students can be adjusted or recorded in time, and the students can be guided in the later stage.

The device is especially suitable for quick reading practice of literary works. For example, in the process of fast reading of literary works, qualified students should focus on the connecting words with the role of inheritance, and the keywords guided by these connecting words, thereby enabling Quickly get the backbone and context of the work. Under this circumstance, the instructor can read from the perspective of the student, and according to the monitoring of the movement of the eyeball by the eye monitoring unit, the difference in the time of the different words allocated during the reading process can be found, thereby enabling the student to find the speed reading. The problems that exist in the learning process can lead to more specific and targeted guidance for students.

The adjustment unit 50 further includes an adjustment unit 501 and an assessment adjustment unit 502, and adjusts the teaching and evaluation contents according to the teaching requirements and the psychological state of the students, so that the students learn more suitable contents under different psychological states. For example, when the system monitors that students are active in thinking, happy and focused, automatically improve the difficulty of the course, and provide the content or key or core content that is difficult to grasp to the students for learning; when the system monitors the students In the case of high tension or difficulty in learning, it automatically reduces the difficulty of the course, provides simple or easy content to the students, relieves tension and builds confidence; when the system monitors students in a slight fatigue, automatically provides interaction More teaching courses, such as foreign language dialogue content or article retelling; when the system monitors the students in fatigue, the current learning content is closed and organized, and the teaching is suspended, allowing students to rest and relax. In another example, the system carrying the unit provides test questions of different difficulty according to the psychological state of the student during the examination process, and tries to enable the student to complete the test under the best condition.

In another embodiment, the student whose native language is Chinese is expected to obtain a comprehensive improvement of the five abilities of the words, listening, speaking, reading and writing in the English learning. In the past teaching process, the teacher or the online course provider according to a certain order A fixed course is provided to the student A. After each stage of the course is completed, the next step is entered. Although there is a connection between the courses, the psychological state of the student is not considered. In the example in which the apparatus of the present invention is applied, the student A first selects the learning item, which selects the word as the first learning object. After about five minutes of study, the system monitors that student A’s attention is always focused on a few words, and eye and motion monitoring shows that the student is only doing mechanical duplication and memory, at this time, in order to make the student Returning to the learning state, switching to the dictation about the above words, in the process, through the external influence, the students adjust the learning style and deepen the impression of the learned words; further, the students have already In the case of mastering the above words, switching to the reading mode, the reading content is a dialog sentence containing the learned words, the mode switching makes the student's thinking always active, and further enhancing the memory and application of the words by reading aloud; Entering the speech expression link, in the mode, providing Chinese text, students need to think about the correct English expression by thinking. After about 40 minutes of study in the above four stages, the system monitors that the students are in a state of active thinking and expresses a strong desire. At this time, they are transferred to the article writing mode. Under this mode, students acquire the previous stages of learning. Knowledge, and writing essays in a state where the brain is fully active, thereby completing the course study in the section.

Also included is an evaluation unit 60 that gives an overall rating based on the status of the student, the student's course learning, and the assessment based on the psychoanalytic unit 30.

In a specific embodiment, the evaluation unit 60 gives an overall evaluation of the student's course learning and evaluation. The overall evaluation includes test scores and mental state scores. Specifically, the test scores are composed of the test scores of the students when they are studying in the teaching unit 101 and the test scores of the examination unit 102 exams; the mental state scores are determined by the psychoanalysis unit 30. The information fed back to the physiological monitoring unit 20 during the teaching and examination process is analyzed and given.

In another specific embodiment, the test score is divided into five grades of ABCDE, and A is the highest grade; the mental state score is divided into state 1 (concentration of mind, active thinking), state 2 (concentration of spirit, active thinking), state 3 (the general concentration of the spirit, the active thinking is general), the state 4 (the spirit is less concentrated, the thinking is slower) and the state 5 (the spirit is not concentrated, the thinking is slow). In the course of teaching, the students got the test score 1: B and the state of mind 1: state 3; and in the evaluation process, they got the test score 2: D and mental state score 2: state 3. The student's overall evaluation is: grade 1: B; grade 2: D; mental state score: state 3. That is to say, in the case of "concentrated in spirit and active in thinking", the student's score is 1:B, grade 2:D. Different from the previous evaluation, the evaluation is based on the results and psychological state.

Also included is a prediction unit 70 that, based on the student status given by the psychoanalysis unit 30 and the overall rating given by the evaluation unit 60, gives the student the level that can be achieved in the best and worst case of the mental state.

In another specific embodiment, the comprehensive evaluation of the above candidate is: in the case of "general concentration, general thinking", the student's score is 1:B, grade 2:D. Through the test of the degree of learning, as well as the degree of attention and the degree of active thinking, and statistics, it can be seen that as the mental state changes, the scores are positively correlated, in which case the prediction unit 70 is based on the same mental state. The statistics of the test scores under the test can predict that the candidate has a best score of 1 in the psychological state 1 and a best score of 2 B; in the case of mental state 5, the worst score 1 is C, the most The difference score 2 is E. Therefore, the student's score interval of score 1 is A-C under different psychological states; the score interval of grade 2 is B-E. It is thus possible to obtain a more accurate test test of the student in different states. Performance.

The above examples only exemplarily illustrate the relationship and working principle of the evaluation unit, the psychoanalysis unit, and the prediction unit. For different disciplines or different test standards, test methods, fractional interval division, and standard customization, those skilled in the art are The present invention can be changed and set according to a specific course.

The advantage of using the above unit is that it minimizes the bias of the students' evaluation due to psychological reasons. On the one hand, it helps the teacher or the society to give an objective evaluation to the students, on the other hand, it helps the students to understand their own situation better. Avoid the psychological impact of the exam on students.

According to another aspect of the present invention, an online teaching evaluation method based on a data exchange network is provided.

The online teaching evaluation method based on the data exchange network of the invention comprises the following steps:

S10: Student login and registration course;

S100: giving the student an overall evaluation of the course according to the student's test scores and mental state scores in the S50 step, the test test scores in the S90 step, and the mental state scores, and The level that students can achieve in the worst state of mind and the state of mind.

Through the above method, comprehensive monitoring of the student's learning state can be realized, and in the case of obtaining the student's learning state, the teaching content and the test content are adjusted according to the learning state, so that the student can learn a more suitable course in various states. This improves learning efficiency and knowledge conversion rate. In addition, it enables teachers and students to objectively evaluate learning content and learning outcomes rather than unilaterally evaluating the “one-test life” common in today's education.

In another specific embodiment, the monitoring of the physiological signs comprises: monitoring the facial features of the students through the facial feature monitoring unit, and then performing facial feature-based evaluation on the mental state of the students; monitoring the volume of the students in the voice through the voice monitoring unit , speech rate, pause characteristics, and then make a speech-based evaluation of the student's psychological state; through the skin monitoring unit, monitor the student's pulse and skin moistness, and then make a skin-based evaluation of the student's psychological state; and, through The action monitoring unit monitors the physical movements of the students and then makes an evaluation based on the action characteristics of the students' mental state.

In another specific embodiment, the motion monitoring includes: monitoring, by the eye monitoring unit, an action of the eye of the student, and then performing an evaluation based on the eye feature on the mental state of the student; and, by using a gesture monitoring unit, The speed and acceleration of the student's limb end are monitored, and the mental state of the student is evaluated based on the gesture characteristics.

The above various monitoring methods are designed to provide more comprehensive student status data from multiple perspectives to assist in making accurate judgments on the true state.

In another specific embodiment, the mental state comprehensive analysis comprises: determining, by using the first determining unit, consistency of the mental state evaluation performed by the facial feature detecting unit and the voice monitoring unit; and using the second determining unit, in the facial feature When the monitoring unit and the voice monitoring unit give inconsistencies in the psychological state evaluation, the psychological state evaluation made by the skin monitoring unit and/or the motion monitoring unit is further used to further judge the psychological state of the student; when the above determining unit cannot accurately determine the mental state, the manual is entered. The determination mode generates the mental state given by the first and second determination units, and on this basis, the mental state is manually given by the teacher and entered into the system.

According to the above external representation of the state of mind, the state of mind is usually reflected in certain postures or manifestations of the body, but in some cases, the same physical characteristics correspond to different mental states, for example, the eyelids are emotions. The external manifestation of nervousness or excessive fatigue. Therefore, psychological analysis is carried out to synthesize the single evaluations given by the above monitoring and monitoring units to obtain a more accurate mentality. state.

In another specific embodiment, the application environment unit is utilized to generate a real work scenario, including:

1) Simulate the scenes of the three-dimensional space required for the teaching environment through the virtual reality unit, and provide the students with visual, auditory and tactile simulations in the environment; or 2) the virtual information required by the teaching environment through the augmented reality unit Apply to the real teaching scene, so that the real teaching scene and the virtual object or information are superimposed in the same picture or space in real time; or 3) generate a working scene through the combination of virtual reality and augmented reality.

The environmental unit has the following advantages: First, it can solve the boring and practical problems of the existing teaching; secondly, it can solve the problem of the lack of communication between the existing online teaching students and between the students and the teachers. With the above device, the students can be virtualized. Teachers or other students in the same group can be seen in the scene, and the teamwork project can be completed. Finally, in the teaching process, the teacher can observe the students' behaviors from the perspective of the students, so as to understand some misunderstandings in the student learning process.

The above system and method can be used in online learning, so that the acquisition of the physiological state in the prior art mentioned in the background art section is relatively rough, and can not provide targeted guidance for the student's learning, and the application in the real working environment. In contrast, there are still technical problems with large differences. It should be understood that the configurations and/or methods herein are exemplary in nature and that such specific embodiments or examples should not be considered as limiting, as many variations are possible. The specific routines or methods described herein may represent one or more of any number of processing strategies. Thus, the various acts illustrated may be performed in the order illustrated, performed in another order, performed in parallel, or in some cases omitted. Again, the order of the above processes can be changed.

The preferred embodiments of the present invention have been described above, and are intended to provide a further understanding of the embodiments of the present invention. It is intended to be included within the scope of the appended claims.

Industrial applicability

Claims

An online teaching evaluation system based on data exchange network, characterized in that it comprises:

The course unit, including the teaching unit and the evaluation unit, is used to provide the students with the study course and the evaluation course;

The evaluation unit gives an overall evaluation of the student's course learning and evaluation. (Is the evaluation unit only for the German learning situation and assessment situation obtained from the following unit? In other words, who is the evaluation unit associated with?)
The online teaching evaluation system based on the data exchange network of claim 1, further comprising:

Physiological monitoring unit to monitor physical signs of students;

The psychological analysis unit comprehensively analyzes the psychological state reflected by the physiological signs of the students, and the analysis result is the psychological state achievement, which is used for the evaluation unit to give an overall evaluation of the students' learning situation and evaluation situation;

The application environment unit, according to the teaching requirements of the course unit, places the student in a work scene close to reality, and guides the student to complete the course or complete the evaluation in the work scene;

The adjustment unit, including the teaching adjustment unit and the evaluation unit, adjusts the teaching and evaluation content according to the teaching requirements and the psychological state of the student;

The prediction unit, according to the student state given by the psychoanalysis unit and the overall evaluation given by the evaluation unit, gives the student the level that can be achieved under the best and worst conditions of the psychological state.
The online teaching evaluation system based on the data exchange network according to any one of claims 1-2, wherein the physiological monitoring unit comprises:

a facial feature monitoring unit for monitoring facial features of the student, and then performing facial feature-based evaluation on the psychological state of the student;

The voice monitoring unit is configured to monitor the characteristics of the volume, the speed of speech, the pause, and the like in the student's voice, and then make a voice feature-based evaluation on the psychological state of the student;

a skin monitoring unit for monitoring a student's pulse and skin moistness, thereby making a skin feature-based evaluation of the student's psychological state;

as well as,

The action monitoring unit is configured to monitor the physical movements of the students, and then make an evaluation based on the action characteristics of the mental state of the students.
The online teaching evaluation system based on the data exchange network according to any one of claims 1 to 3, wherein the action monitoring unit comprises:

The eye monitoring unit is configured to monitor the movement of the student's eye, and then make an evaluation based on the eye feature on the psychological state of the student;

as well as,

The gesture monitoring unit is configured to monitor the speed and acceleration of the student's limb end swing, and then make a gesture-based evaluation of the student's mental state.
The online teaching evaluation system based on the data exchange network according to any one of claims 1 to 4, wherein the psychoanalyst unit comprises:

a first determining unit, configured to determine consistency of a mental state evaluation performed by the facial feature detecting unit and the voice monitoring unit;

The second determining unit further determines the psychological state of the student by using the psychological state evaluation made by the skin monitoring unit and/or the motion monitoring unit when the facial feature monitoring unit and the voice monitoring unit do not agree on the psychological state evaluation;

The manual determining unit, when the determining unit cannot accurately determine the mental state, the system enters the manual determination mode to generate the psychological state given by the first and second determining units, and on this basis, the mental state is manually given by the teacher and entered. system.
The data exchange network-based online teaching evaluation system according to any one of claims 1 to 5, wherein the application environment unit comprises:

1) a virtual reality unit that simulates a scene that produces a three-dimensional space required by the teaching environment, and provides a simulation of the visual, auditory, and tactile sensations of the student in the environment;

or,

2) Augmented reality unit, applying the virtual information required by the teaching environment to the real teaching scene, so that the real teaching scene and the virtual object or information are superimposed in the same picture or space in real time;

or,

3) A combination of a virtual reality unit and an augmented reality unit.
An online teaching evaluation method based on data exchange network, characterized in that it comprises the following steps:

S10: Student login and registration course;

S20: The teaching course unit generates a realistic work scene by applying the environment unit according to the requirements of the student registration course, and provides a teaching course to the student in the scene;

S30: monitoring the physiological signs of the students during the teaching process;

S40: Comprehensive analysis of the psychological state reflected by the student's physiological signs;

S50: Adjust the teaching curriculum according to the teaching requirements and the psychological state of the students, so that the teaching curriculum matches the psychological state of the students, and conduct a classroom test, and record the psychological state achievements in the process;

S60: After the completion of the teaching course, enter the evaluation course, according to the requirements of the student registration course, through the application of the environmental unit, generate a realistic work scene, and evaluate the students in the scene;

S70: During the evaluation process, the physical signs of the students are monitored;

S80: Comprehensive analysis of the psychological state reflected by the student's physiological signs;

S90: According to the teaching requirements and the psychological state of the students, the content of the assessment is adjusted, the content of the assessment is matched with the psychological state of the student, and the examination test is performed, and the psychological state achievement in the process is recorded;

S100: According to the student's test scores and mental state scores in the S50 step, the test test scores in the S90 step, and the mental state scores (does it be necessary to determine which step to obtain the learning situation and assessment situation?), give the students Regarding the overall evaluation of the course, and giving students the level they can achieve in the worst state of mind and the state of mind.
The online teaching evaluation method based on the data exchange network of claim 7, wherein the monitoring of the physiological signs comprises:

The facial feature monitoring unit is used to monitor the facial features of the student, and then the facial features are evaluated based on the psychological state of the student;

Through the voice monitoring unit, the characteristics of volume, speech rate, pause, etc. in the student's voice are monitored, and then the voice state-based evaluation of the student's psychological state is made;

Through the skin monitoring unit, the pulse and skin moistness of the student are monitored, and then the skin condition is evaluated based on the psychological state of the student;

as well as,

Through the action monitoring unit, the student's body movements are monitored, and then the behavioral characteristics of the students are evaluated based on the action characteristics.
The online teaching evaluation method based on the data exchange network according to any one of claims 7-8, wherein the action monitoring comprises:

Through the eye monitoring unit, the movement of the student's eye is monitored, and then the psychological state of the student is evaluated based on the characteristics of the eye;

as well as,

Through the gesture monitoring unit, the speed and acceleration of the student's limb end swing are monitored, and then the mental state of the student is evaluated based on the gesture feature.
The online teaching evaluation method based on the data exchange network according to any one of claims 7-9, wherein the comprehensive analysis of the mental state comprises:

Using the first determining unit, determining the consistency of the psychological state evaluation made by the facial feature detecting unit and the voice monitoring unit;

Using the second determining unit, when the facial feature monitoring unit and the voice monitoring unit give inconsistencies in the psychological state evaluation, the psychological state evaluation performed by the skin monitoring unit and/or the motion monitoring unit further determines the psychological state of the student;

When the determination unit cannot accurately determine the mental state, the manual determination mode is entered, and the psychological state given by the first and second determination units is generated. On this basis, the mental state is manually given by the teacher and entered into the system.
The online teaching evaluation method based on the data exchange network according to any one of claims 7 to 10, wherein the real-time work scene is generated by the application environment unit, including:

1) simulating a scene in a three-dimensional space required for the teaching environment through a virtual reality unit, providing a simulation of the visual, auditory, and tactile senses of the student in the environment;

or,

2) Applying the virtual information required by the teaching environment to the real teaching scene through the augmented reality unit, so that the real teaching scene and the virtual object or information are superimposed in the same picture or space in real time;

Or,

3) Generate a work scene through a combination of virtual reality and augmented reality.