CN111610862A - Online teaching mode switching method based on eye movement signal - Google Patents
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Abstract
The invention discloses an on-line teaching mode switching method based on eye movement signals, which comprises the following steps of collecting and matching student information aiming at on-line learning tasks, and collecting eye movement data of students in the on-line learning process in real time; the student mobile terminal analyzes the eye movement data, calculates the actual attention degree of the student, and judges whether the student has an anaerobic phenomenon; calculating the proportion of the number of the anaerobic students, and if the proportion is smaller than the threshold value of the number of the anaerobic students, automatically reminding the students by the mobile terminals and pushing messages to the teacher mobile terminal; otherwise, the teacher mobile terminal switches the manual teaching mode; if the number of the anaerobic people is increased due to the reminding of the student mobile terminal, the teacher mobile terminal controls the student mobile terminal to send out warning reminding; if the teacher mobile terminal adopts a new teaching mode and does not change the overall situation of being tired of learning, the teaching mode is switched to increase a classroom interaction link; and (5) counting the online learning efficiency of students and adjusting the teaching content. The invention improves the efficiency and quality of the online classroom.
Description
Technical Field
The invention belongs to the technical field of intelligent education services, and particularly relates to an on-line teaching mode switching method based on eye movement signals.
Background
With the gradual improvement of the permeability of the internet, mobile education based on personal electronic devices such as mobile phones and tablet computers is promoted in the era of mobile internet. The scale of online education users is continuously expanded, the market acceptance of online education is gradually improved, and the requirements on the width and content depth of online courses are improved; the user attaches importance to the effectiveness of learning and continuously puts new requirements on the online learning experience. In particular, the implementation of the education strategy of 'stopping classes and learning without stopping' in the period of the coronavirus epidemic situation enables various colleges and universities, middle and primary schools, education institutions and the like to develop online teaching in an online remote learning mode. Therefore, how to improve the learning efficiency of students and the teaching quality of teachers in the online learning process is very important.
The existing online teaching strategy mainly depends on a designed teaching flow and strategy, phenomena such as boredom, lack of interest and the like of students in the actual learning process cannot be accurately switched in a learning mode according to actual conditions, and intelligent online teaching conforming to the actual state of the students is not formed.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide an on-line teaching mode switching method based on eye movement signals, aiming at the defects of the prior art.
In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:
an on-line teaching mode switching method based on eye movement signals is disclosed, wherein: the method comprises the following steps:
step S1: aiming at the task of online learning, acquiring student information, matching the student information, and collecting eye movement data of the students in the online learning process in real time, wherein the eye movement data comprises a fixation point coordinate and fixation point time;
step S2: the student mobile terminal analyzes and identifies the eye movement data collected in real time, calculates the actual attention degree of the student according to the effective fixation point and the retention time of the same effective fixation point, and judges whether the student has a phenomenon of boredom;
step S3: calculating the proportion of the number of the anaerobic students, and if the proportion is smaller than the threshold value of the number of the anaerobic students, automatically reminding the students by the mobile terminals and pushing messages to the teacher mobile terminal; otherwise, the teacher mobile terminal switches the manual teaching mode;
step S4: if the number of the anaerobic people is increased due to the reminding of the student mobile terminal, the teacher mobile terminal controls the student mobile terminal to send out warning reminding; if the teacher mobile terminal adopts a new teaching mode and does not change the overall situation of being tired of learning, the teaching mode is switched to increase a classroom interaction link;
step S5: and (4) counting the online learning time and efficiency of students and adjusting online learning tasks.
In order to optimize the technical scheme, the specific measures adopted further comprise:
further, step S1 is specifically:
the teacher mobile terminal issues a task of online learning, the student mobile terminals receive the task of online learning, the student mobile terminals verify the campus card login information of students and simultaneously send the information to the teacher mobile terminal, and the teacher mobile terminal identifies and confirms the specific student information in the current classroom and records students which are not present; meanwhile, the eye tracker is used for collecting the fixation point coordinates and the fixation point time of the students in the learning process.
Further, step S2 is specifically:
s21: labeling each eye movement data as fi＝{(xi，yi)，tiIf point of gaze coordinates (x)i，yi) In the position range of the effective information on the student mobile terminal, and the fixation point time ti is in the effective time range, the effective fixation point f is judgediOtherwise, the fixation point does not generate learning behavior and belongs to an invalid fixation point;
wherein f isiIndicates the point of fixation, (x)i，yi) Indicating the point of fixation fiCorresponding coordinates, ti, point of fixation fiIn (x)i，yi) (iv) residence time;
s22: dividing online classroom time into a pluralityThe method comprises the steps that a time window jT, j ∈ (1, n) with continuous segments is firstly judged, which fixation points of the time window jT generate effective learning behaviors, then the fixation time ti of the effective fixation points in the time window is summed, and the effective learning time D of a student in the time window jT is obtainedjFinally, calculating the actual interest degree A of the student in learning in the time window jTj＝Dj/T；
S23: setting the interest degree threshold value corresponding to the time window jT as GjLearning the actual interest degree A of the student in the time window jTjWith a threshold value of interest GjFor comparison, if Aj＜GjAnd judging that the students have the anaerobic phenomenon.
Further, step S3 is specifically:
s31: the teacher mobile terminal counts all the people who generate the anaerobic phenomenon in the time window jT, and then calculates the ratio Z of the number of the people who learn the anaerobic phenomenon on the current linej，
S32: setting a threshold value M of the number of the anaerobic people corresponding to the time window jTjIf Z isj＜MjThe learning interface of the student mobile terminal generates shake or warning sound, so that the student returns to the online learning classroom again, and meanwhile, the teacher mobile terminal receives the learning condition of the student;
s33: if Z isj≥MjAnd the teacher mobile terminal controls the student mobile terminals to stop teaching, and the teacher manually adjusts the teaching mode by combining the content of the course and the learning condition of the students, including releasing classroom tests or online live broadcasting.
Further, step S4 is specifically:
s41: if the time window jT is reached, the mobile terminal of the student automatically gives out warning sound to the student, and then Z is reached in the next time window (j +1) Tj＜Zj+1The teacher mobile terminal controls the student mobile terminal to send a warning information window to the students, and the students are prompted to return to the online learning classroom again by clicking and cancelling the student mouse;
s42: if the time window jT is within the time window Z within (j +1) T within the next time window after the manual teaching mode is switchedj+1≥Mj+1Then the teacher movesThe terminal adjusts the manual teaching mode, and comprises the steps of organizing students to study and discuss on line and directly roll the name of the students to complete experiment tasks.
Further, step S5 is specifically:
s51: the student mobile terminal records the on-line learning condition of the student in real time, and the teacher mobile terminal feeds back the on-line learning condition of the student in real time and calculates and analyzes the on-line learning condition of the student in the whole class;
s52: setting the effective learning time threshold value of W in the class of studentshAnd the lowest time threshold is W1Calculating the learning time of on-line learning of students
If W > WhIf the online course is too much concerned by the students, the learning difficulty is higher; if W is less than W1If the students are interested in online course learning, the students are lack of interest in online class learning;
s53: setting the effective learning time threshold value corresponding to the time window jT as WjhAnd the lowest time threshold is Wj1Analyzing the online learning efficiency of students
If D isj-WjhIf the time window is more than 0, the students have difficulty in understanding the knowledge points in the time window jT, auxiliary teaching resources need to be added or the difficulty of learning contents needs to be reduced, and a teaching design scheme is further optimized; if D isj-WjlIf the value is less than 0, the students lack learning interest in knowledge points in the time window jT, and the online learning time needs to be adjusted or the teaching display form needs to be optimized, wherein the teaching display form comprises video dynamic display, learning interface layout and PPT beautification.
The invention has the beneficial effects that:
according to the on-line teaching mode switching method based on the eye movement signals, the eye movement data of students at the student mobile terminals are collected, the learning attention of the students is analyzed, the teacher mobile terminal collects the data analysis of each student mobile terminal, and different teaching modes are switched, so that accurate intervention strategies can be given to the students in real time when negative phenomena occur in learning, the students are promoted to participate in learning actively, the independence of personalized learning of the students is improved, the student learning state feedback information can be provided for the teachers intelligently, the teachers are reminded to take intervention measures in real time, accurate teaching interaction is realized, and the efficiency and quality of on-line classroom teaching are improved; and meanwhile, the whole situation of the online classroom is analyzed, and the classroom teaching content is optimized.
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FIG. 1 is a schematic flow diagram of the present invention.
Detailed Description
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
As shown in fig. 1, the present invention is an on-line teaching mode switching method based on eye movement signals, wherein the method comprises the following steps:
step S1: aiming at the task of online learning, acquiring student information, matching the student information, and collecting eye movement data of the students in the online learning process in real time, wherein the eye movement data comprises a fixation point coordinate and fixation point time;
the method specifically comprises the following steps: the teacher mobile terminal issues a task of online learning, the student mobile terminals receive the task of online learning, the student mobile terminals verify the campus card login information of students and simultaneously send the information to the teacher mobile terminal, and the teacher mobile terminal identifies and confirms the specific student information in the current classroom and records students which are not present; meanwhile, the eye movement data of the students are collected by the eye movement instrument in the learning process.
Step S2: the student mobile terminal analyzes and identifies the eye movement data collected in real time, calculates the actual attention degree of the student according to the retention time of the effective fixation point, and identifies whether the student has an anaerobic phenomenon;
the method specifically comprises the following steps:
s21: labeling each eye movement data as fi＝{(xi，yi)，ti}，(xi，yi) Expressed as a point of fixation fiPosition on student mobile terminal, tiExpressed as a point of fixation fiIn (x)i，yi) OnThe residence time. If (x)i，yi) Within the range of locations available to the student's mobile terminal, i.e. (x)i，yi)＝([0，1024]，[0，768]) If the fixation point time ti is within the effective time range, judging that the fixation point generates a learning behavior and belongs to an effective fixation point fi; otherwise, the fixation point does not generate learning behavior and belongs to an invalid fixation point;
s22, dividing the on-line classroom time into a plurality of sections of continuous time windows jT, j ∈ (1, n), firstly judging which fixation points of the time windows jT generate effective learning behaviors, and then summing the fixation time ti of the effective fixation points in the time windows to obtain the effective learning time D of the students in the time windows jTjFinally, calculating the actual interest degree A of the student in learning in the time window jTj＝Dj/T；
S23: setting the interest degree threshold value corresponding to the time window jT as GjLearning the actual interest degree A of the student in the time window jTjWith a threshold value of interest GjFor comparison, if Aj＜GjThe system determines that the student has had an anaerobic phenomenon.
Step S3: calculating the proportion of the number of the anaerobic students, and if the proportion is smaller than the threshold value of the number of the anaerobic students, automatically reminding the students by the mobile terminals and pushing messages to the teacher mobile terminal; otherwise, the teacher mobile terminal switches the manual teaching mode;
the method specifically comprises the following steps:
s31: the teacher mobile terminal counts all the people who generate the anaerobic phenomenon in the time window jT, and then calculates the ratio of the number of the people who learn the anaerobic phenomenon on the current line to be Zj；
S32: setting the threshold value of the number of the anaerobic people corresponding to the time window jT as MjIf Z isj＜MjThe learning interface of the student mobile terminal generates shake or warning sound, so that the student returns to the online learning classroom again, and meanwhile, the teacher mobile terminal receives the learning condition of the student;
s33: setting the threshold value of the number of the anaerobic people corresponding to the time window jT as MjIf Z isj≥MjTeacher mobile terminal controlling student movementAnd stopping teaching at the terminal, and manually adjusting a teaching mode by the teacher according to the content of the course and the learning condition of the students, including releasing classroom tests or live broadcasting on line.
Step S4: if the number of the anaerobic people is increased due to the reminding of the student mobile terminal, the teacher mobile terminal controls the student mobile terminal to send out warning reminding; if the teacher mobile terminal adopts a new teaching mode and does not change the overall situation of being tired of learning, the teaching mode is switched to increase a classroom interaction link;
the method specifically comprises the following steps:
s41: if the time window jT is reached, the mobile terminal of the student automatically gives out warning sound to the student, and then Z is reached in the next time window (j +1) Tj＜Zj+1The teacher mobile terminal controls the student mobile terminal to send a warning information window to the students, and the students are prompted to return to the online learning classroom again by clicking and cancelling the student mouse;
s42: if the time window jT is within the time window Z within (j +1) T within the next time window after the manual teaching mode is switchedj+1≥Mj+1And the teacher mobile terminal adjusts the manual teaching mode, including organizing students to study and discuss on line and directly roll the name of the students to complete the experiment task.
Wherein, if in the time window jT, the mobile terminal of the student automatically gives out the warning sound to the student, and then Z in the next time window (j +1) Tj≥Zj+1If the mobile terminal of the student is in the reminding mode before the continuation, the shaking or warning sound appears on the learning interface; if the time window jT is within the time window Z within the next time window (j +1) T after the manual teaching mode is switchedj＜MjAnd if the manual teaching mode is not adjusted again, the online teaching is continued.
Step S5: and (4) counting the online learning time and efficiency of students and adjusting online learning tasks.
The method specifically comprises the following steps:
s51: the student mobile terminal records the on-line learning condition of the student in real time, and the teacher mobile terminal feeds back the on-line learning condition of the student in real time and calculates and analyzes the on-line learning condition of the student in the whole class;
s52: setting effective learning time of student in classroomA threshold value of WhAnd the lowest time threshold is W1Calculating the learning time of on-line learning of students
If W > WhIf the online course is too much concerned by the students, the learning difficulty is higher; if W is less than W1If the students are interested in online course learning, the students are lack of interest in online class learning;
s53: setting the effective learning time threshold value corresponding to the time window jT as WjhAnd the lowest time threshold is Wj1Analyzing the online learning efficiency of students
If D isj-WjhIf the time window is more than 0, the students have difficulty in understanding the knowledge points in the time window jT, auxiliary teaching resources need to be added or the difficulty of learning contents needs to be reduced, and a teaching design scheme is further optimized; if D isj-WjlIf the value is less than 0, the students lack learning interest in knowledge points in the time window jT, and the online learning time needs to be adjusted or the teaching display form needs to be optimized, wherein the teaching display form comprises video dynamic display, learning interface layout and PPT beautification.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.
Claims (6)
1. An on-line teaching mode switching method based on eye movement signals is characterized by comprising the following steps:
step S1: aiming at the task of online learning, acquiring student information, matching the student information, and collecting eye movement data of the students in the online learning process in real time, wherein the eye movement data comprises a fixation point coordinate and fixation point time;
step S2: the student mobile terminal analyzes and identifies the eye movement data collected in real time, calculates the actual attention degree of the student according to the effective fixation point and the retention time of the same effective fixation point, and judges whether the student has a phenomenon of boredom;
step S3: calculating the proportion of the number of the anaerobic students, and if the proportion is smaller than the threshold value of the number of the anaerobic students, automatically reminding the students by the mobile terminals and pushing messages to the teacher mobile terminal; otherwise, the teacher mobile terminal switches the manual teaching mode;
step S4: if the number of the anaerobic people is increased due to the reminding of the student mobile terminal, the teacher mobile terminal controls the student mobile terminal to send out warning reminding; if the teacher mobile terminal adopts a new teaching mode and does not change the overall situation of being tired of learning, the teaching mode is switched to increase a classroom interaction link;
step S5: and (4) counting the online learning time and efficiency of students and adjusting online learning tasks.
2. The method for switching the on-line teaching mode based on the eye movement signal as claimed in claim 1, wherein: in the step S1, the teacher mobile terminal issues an online learning task, the student mobile terminals receive the online learning task, the student mobile terminals verify the student campus card login information and send the information to the teacher mobile terminal, and the teacher mobile terminal identifies and confirms the specific student information in the current classroom and records the students who are not present; meanwhile, the eye tracker is used for collecting the fixation point coordinates and the fixation point time of the students in the learning process.
3. The method for switching the on-line teaching mode based on the eye movement signal as claimed in claim 2, wherein: the step S2 specifically includes:
s21: labeling each eye movement data as fi＝{(xi，yi)，tiIf point of gaze coordinates (x)i，yi) Within the position range of effective information on the mobile terminal of the student, and the time t of the point of regardiWithin the effective time range, the effective fixation point f is determinediOtherwise, the point of regard does not produce learning behavior and is invalidA point of regard;
wherein f isiIndicates the point of fixation, (x)i，yi) Indicating the point of fixation fiCorresponding coordinate, tiIndicating the point of fixation fiIn (x)i，yi) (iv) residence time;
s22, dividing the on-line classroom time into a plurality of sections of continuous time windows jT, j ∈ (1, n), firstly judging which fixation points of the time windows jT generate effective learning behaviors, and then, regarding the fixation time t of the effective fixation points in the time windowsiSumming to obtain the effective learning time D of the student in the time window jTjFinally, calculating the actual interest degree A of the student in learning in the time window jTj＝Dj/T；
S23: setting the interest degree threshold value corresponding to the time window jT as GjLearning the actual interest degree A of the student in the time window jTjWith a threshold value of interest GjFor comparison, if Aj＜GjAnd judging that the students have the anaerobic phenomenon.
4. The method for switching the on-line teaching mode based on the eye movement signal as claimed in claim 3, wherein: the step S3 specifically includes:
s31: the teacher mobile terminal counts all the people who generate the anaerobic phenomenon in the time window jT, and then calculates the ratio Z of the number of the people who learn the anaerobic phenomenon on the current linej；
S32: setting a threshold value M of the number of the anaerobic people corresponding to the time window jTjIf Z isj＜MjThe learning interface of the student mobile terminal generates shake or warning sound, so that the student returns to the online learning classroom again, and meanwhile, the teacher mobile terminal receives the learning condition of the student;
s33: if Z isj≥MjAnd the teacher mobile terminal controls the student mobile terminals to stop teaching, and the teacher manually adjusts the teaching mode by combining the content of the course and the learning condition of the students, including releasing classroom tests or online live broadcasting.
5. The method for switching the on-line teaching mode based on the eye movement signal as claimed in claim 4, wherein the step S4 specifically comprises:
s41: if the time window jT is reached, the mobile terminal of the student automatically gives out warning sound to the student, and then Z is reached in the next time window (j +1) Tj＜Zj+1The teacher mobile terminal controls the student mobile terminal to send a warning information window to the students, and the students are prompted to return to the online learning classroom again by clicking and cancelling the student mouse;
s42: if the time window jT is within the time window Z within (j +1) T within the next time window after the manual teaching mode is switchedj+1≥Mj+1And the teacher mobile terminal adjusts the manual teaching mode, including organizing students to study and discuss on line and directly roll the name of the students to complete the experiment task.
6. The method for switching the on-line teaching mode based on the eye movement signal as claimed in claim 5, wherein the step S5 specifically comprises:
s51: the student mobile terminal records the on-line learning condition of the student in real time, and the teacher mobile terminal feeds back the on-line learning condition of the student in real time and calculates and analyzes the on-line learning condition of the student in the whole class;
s52: setting the effective learning time threshold value of W in the class of studentshAnd the lowest time threshold is W1Calculating the learning time of on-line learning of students
If W > WhIf the online course is too much concerned by the students, the learning difficulty is higher; if W is less than W1If the students are interested in online course learning, the students are lack of interest in online class learning;
s53: setting the effective learning time threshold value corresponding to the time window jT as WjhAnd the lowest time threshold is Wj1Analyzing the online learning efficiency of students
If D isj-WjhIf the time window is more than 0, the students have difficulty in understanding the knowledge points in the time window jT, auxiliary teaching resources need to be added or the difficulty of learning contents needs to be reduced, and a teaching design scheme is further optimized; if D isj-WjlIf the value is less than 0, the students lack learning interest in knowledge points in the time window jT, and the online learning time needs to be adjusted or the teaching display form needs to be optimized, wherein the teaching display form comprises video dynamic display, learning interface layout and PPT beautification.
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| WO2022183423A1 (en) * | 2021-03-04 | 2022-09-09 | 深圳技术大学 | Online teaching implementation method and apparatus based on gaze tracking, and storage medium |
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