CN110246385A - Based on a crucial internet teaching assisted teaching system for evaluation of giving lessons - Google Patents
Based on a crucial internet teaching assisted teaching system for evaluation of giving lessons Download PDFInfo
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- CN110246385A CN110246385A CN201910405820.1A CN201910405820A CN110246385A CN 110246385 A CN110246385 A CN 110246385A CN 201910405820 A CN201910405820 A CN 201910405820A CN 110246385 A CN110246385 A CN 110246385A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
- G09B5/12—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations different stations being capable of presenting different information simultaneously
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
Abstract
The invention discloses a kind of based on a crucial internet teaching assisted teaching system for evaluation of giving lessons, comprising: student terminal image collecting device, acquisition are evaluated the face-image of student；Information carrying means, for the face-image of student terminal image acquisition device to be sent to classroom behavior analysis processor；Classroom behavior analysis processor, mood of the student when study key gives lessons the multiple knowledge points being a little related to, which is classified and assigned respectively, grasps probability value；Wisdom classroom device realizes that the interactive teaching and learning with student terminal judges automatically whether corresponding knowledge point grasps by respectively being inscribed in interactive teaching and learning to wrong situation；Key is given lessons an evaluating apparatus, is calculated key according to the analytical judgment result of classroom behavior analysis processor and wisdom classroom device and is given lessons a little total master rate.The grasp situation that the present invention gives lessons a little according to key can be convenient and quickly search out the crucial associated video given lessons a little, is based on recorded broadcast course, course is effectively performed and reviews.
Description
Technical field
The present invention relates to Informalized teaching technical fields, and in particular to a kind of assisted teaching system.
Background technique
Current internet teaching system, although can also be reviewed by courseware recording at video for user, its view recorded
Frequency is a complete video file, there is no the video file is further processed, is awarded when user finds key
When class point associated video, it can only find manually.
Summary of the invention
It is auxiliary based on a crucial internet teaching for evaluation of giving lessons that the technical problem to be solved by the invention is to provide a kind of
Tutoring system is helped, the positioning to a crucial associated video of giving lessons is facilitated and is reviewed.
In order to solve the above technical problems, the present invention adopts the following technical scheme: based on a crucial internet for evaluation of giving lessons
Tutor auxiliary platform tutoring system, comprising:
Student terminal image collecting device, acquisition are evaluated the face-image of student；
Information carrying means, for the face-image of student terminal image acquisition device to be sent to classroom behavior point
Analyse processor；
Classroom behavior analysis processor judges the mood of student by the processing to face-image and focus of listening to the teacher, and
Mood of the student when study key gives lessons the multiple knowledge points being a little related to is classified and assigned respectively and grasps probability value, point
It Wei not be happy: master rate 100%, tranquil: master rate 95%, it is passive: master rate 90%；The focus that will listen to the teacher is classified and is divided
Probability value Fu Yu not grasped, be respectively absorbed in: master rate 100%, neutral: master rate 95% is deserted: master rate * 90%；
Wisdom classroom device is realized bidirectional transfer of information by information carrying means and student terminal, and is passed by information
Defeated realization and the interactive teaching and learning of student terminal are judged automatically and corresponding are known by respectively being inscribed in interactive teaching and learning to wrong situation
Know whether point is grasped, the correct master rate of answer is 100%, and master rate is 0 when answer mistake, and interactive teaching and learning is classified as a variety of rows
For the grasp probability of the knowledge point are as follows: the sum of probability/interactive teaching and learning number is grasped in multiple interactive teaching and learnings of a variety of behaviors；
Key is given lessons an evaluating apparatus, according to the analytical judgment result of classroom behavior analysis processor and wisdom classroom device
Key is calculated to give lessons a little total master rate: [(mood+focus)/2] * [the N number of knowledge point grasp probability of wisdom classroom device it
With/N]；
Wisdom classroom device be provided with key give lessons a little automatically classification and memory module, the key give lessons a little automatically
Classification and memory module by instructional video according to crucial being associated with and be split a little of giving lessons, each key gives lessons a video to close
A key keyword of giving lessons is named and is separately stored as a file.
Optionally, the interactive teaching and learning includes classroom work, with hall feedback and random answer.
Optionally, a key evaluating apparatus of giving lessons further includes historical data statistical module, for count the student it
The history of preceding each knowledge point grasps probability, and counts the history grasp of other each knowledge points of this course of student of this school the same year level segment
Rate.
Optionally, a key evaluating apparatus of giving lessons further includes that association knowledge point grasps probabilistic forecasting module, and association knows
Know point grasp probabilistic forecasting module and be stored with knowledge mapping system, knowledge mapping system joins correlated knowledge point and similar knowledge point
System gets up, and the relationship in knowledge based map system between knowledge point is predicted: in knowledge mapping system, I He of knowledge point
Knowledge point II is related or similar knowledge point, has grasped knowledge point I, has then predicted also to grasp knowledge point II.
Optionally, the student terminal image collecting device is evaluated the face of student according to the acquisition of the time interval of setting
Image.
Optionally, the student terminal is provided with key and gives lessons a link module, for being given lessons a link mould by key
Block is transferred a key corresponding key video of giving lessons in classification automatically and memory module of giving lessons a little and is watched.
The present invention by adopting the above technical scheme, has the following beneficial effects:
1, it is given a mark by the automatic Evaluation of a crucial evaluating apparatus of giving lessons, student will be seen that the grasp that each key is given lessons a little
Situation is based on recorded broadcast course, course is effectively performed and reviews, repetition learning；Student can specifically understand oneself each knowledge point
Grasp situation, be conducive to targetedly be practiced, eliminate blind spot；Data quantization examined the wholwe-hearted journey of student's upper class hour
Degree, facilitates teacher and parent effectively to remind student.
2, it gives lessons evaluation to key, has comprehensively considered mood when student's study and focus of listening to the teacher, and teaching is mutual
Respectively inscribed in dynamic to wrong situation, it is more scientific, objective, accurate.
3, it is crucial give lessons a little classification automatically and memory module by instructional video according to crucial being associated with minute a little of giving lessons
It cuts, a file, while student terminal are named and be separately stored as to each key video of giving lessons with a key keyword of giving lessons
It is provided with a key link module and each key a video file of giving lessons of giving lessons to be chained up, in this way, being given lessons a little according to key
Grasp situation, can be convenient and quickly search out the crucial associated video given lessons a little, course is effectively performed and reviews, learns repeatedly
It practises, gives lessons to key and carry out an intensified learning.
4, probability is grasped to the history of knowledge point to count, given lessons the analysis of a master rate based on each key, all
It can give lessons a little or the data basis of next class intellectual analysis as next, keep analysis more intelligent, scientific, accurately.
The specific technical solution of the present invention and its advantages will carry out detailed in the following detailed description
Explanation.
Specific embodiment
Embodiment one
Based on a crucial internet teaching assisted teaching system for evaluation of giving lessons, comprising:
Student terminal image collecting device, acquisition are evaluated the face-image of student；
Information carrying means, for the face-image of student terminal image acquisition device to be sent to classroom behavior point
Analyse processor；
Classroom behavior analysis processor judges the mood of student by the processing to face-image and focus of listening to the teacher, and
Mood of the student when study key gives lessons the multiple knowledge points being a little related to is classified and assigned respectively and grasps probability value, point
It Wei not be happy: master rate 100%, tranquil: master rate 95%, it is passive: master rate 90%；The focus that will listen to the teacher is classified and is divided
Probability value Fu Yu not grasped, be respectively absorbed in: master rate 100%, neutral: master rate 95% is deserted: master rate * 90%；
Wisdom classroom device is realized bidirectional transfer of information by information carrying means and student terminal, and is passed by information
Defeated realization and the interactive teaching and learning of student terminal are judged automatically and corresponding are known by respectively being inscribed in interactive teaching and learning to wrong situation
Know whether point is grasped, the correct master rate of answer is 100%, and master rate is 0 when answer mistake, and interactive teaching and learning is classified as a variety of rows
For the grasp probability of the knowledge point are as follows: the sum of probability/interactive teaching and learning number is grasped in multiple interactive teaching and learnings of a variety of behaviors；
Key is given lessons an evaluating apparatus, according to the analytical judgment result of classroom behavior analysis processor and wisdom classroom device
Key is calculated to give lessons a little total master rate: [(mood+focus)/2] * [the N number of knowledge point grasp probability of wisdom classroom device it
With/N].
By the automatic Evaluation marking of a crucial evaluating apparatus of giving lessons, student will be seen that the grasp feelings that each key is given lessons a little
Condition is based on recorded broadcast course, course is effectively performed and reviews, repetition learning；Student can specifically understand oneself each knowledge point
Situation is grasped, is conducive to targetedly be practiced, eliminates blind spot；Data quantization examined the attentive concentration of student's upper class hour,
Teacher and parent is facilitated effectively to remind student.
It gives lessons evaluation to key, has comprehensively considered mood when student's study and listen to the teacher focus and interactive teaching and learning
In respectively inscribe to wrong situation, it is more scientific, objective, accurate.
Wherein, the student terminal image collecting device is schemed according to the face that the acquisition of the time interval of setting is evaluated student
Picture, thus to provide more face image datas for classroom behavior analysis processor.Judge to learn according to the processing of face-image
Raw mood and focus of listening to the teacher, it is happy, tranquil, passive to be divided into, and particular technique principle can refer to the prior art.
In order to be positioned to a key associated video of giving lessons.Wisdom classroom device is provided with key and gives lessons a little automatically
Classification and memory module, the key give lessons a little classification automatically and memory module by instructional video according to the crucial pass given lessons a little
Connection is split, and each key video of giving lessons is named with a key keyword of giving lessons and is separately stored as a file.It is described
Student terminal is provided with key and gives lessons a link module, for transferring the key by a key link module of giving lessons and giving lessons a little
A corresponding key video of giving lessons is watched in automatic classification and memory module.It, can according to the grasp situation that key is given lessons a little
To search out the crucial associated video given lessons a little easily and fast, give lessons a progress intensified learning to key.
Certainly, it will be appreciated by persons skilled in the art that the interactive teaching and learning may include classroom work, feed back with hall
And random answer or other common forms.
In addition, the key is given lessons, an evaluating apparatus further includes historical data statistical module, for before counting the student
The history of each knowledge point grasps probability, and counts the history grasp of other each knowledge points of this course of student of this school the same year level segment
Rate.It is given lessons the analysis of a master rate based on each key, can act as next give lessons a little or next class intellectual analysis
Data basis, make more intelligent analysis, science, accurate.
The key give lessons an evaluating apparatus further include association knowledge point grasp probabilistic forecasting module, association knowledge point grasp
Probabilistic forecasting module is stored with knowledge mapping system, and knowledge mapping system connects correlated knowledge point and similar knowledge point.
By inquire the life grasp situation historical data, learn the life history grasp knowledge point in, partial knowledge point with
This class gain knowledge a little in knowledge mapping system it is directly related；Partial knowledge point and this class gain knowledge it is a little similar.
A little gaining knowledge a little for example, this is given lessons: knowledge point is 1. directly related with the knowledge point grasped in knowledge mapping, knows
Know point 2. to have grasped the similar knowledge point in knowledge point, knowledge point be 3. both knowledge point directly related in knowledge mapping and
Grasped that knowledge point is similar, knowledge point is 4. neither knowledge point directly related in knowledge mapping, but not with grasped knowledge point
It is similar.
Relationship in knowledge based map system between knowledge point is predicted:
Knowledge point I and knowledge point II are correlated knowledge points, have grasped knowledge point I, can predict that maximum probability also can
Grasp knowledge point II；Knowledge point I and III similarity of knowledge point are high, grasp knowledge point I, can predict that maximum probability can also be grasped and know
Know point III.
In conjunction with wisdom classroom tool and historical data, gives lessons key and grasp a probability and evaluate.
1, when user has classroom instruction mutual-action behavior, to the judgement of the knowledge point master rate in this hours of instruction section with row
Subject to data.
2, when user is without classroom instruction mutual-action behavior, the judgement of the knowledge point master rate in this hours of instruction section is with history
Subject to data.
Assuming that the key give lessons a little have knowledge point 1., knowledge point 2., knowledge point 3., knowledge point 4., interactive teaching and learning includes class
Hall operation A, classroom work B, classroom work C, with hall D, random answer E are fed back.
Assuming that the interaction situation of student during this period of time are as follows:
Classroom work A is correct: 1. grasping knowledge point
Classroom work B mistake: it does not 2. grasp knowledge point
Classroom work C is correct: 1. grasping knowledge point
It is correct with hall feedback D: 2. to grasp knowledge point
Random answer E mistake: it does not 1. grasp knowledge point
When having classroom instruction interaction, probability calculation formula: (behavior A master rate+behavior B master rate+behavior is grasped in knowledge point
C master rate)/behavior number.
Master rate at this time is accuracy, and it is 0 when mistake that when answer is correct, then master rate, which is 100%,.
Then:
1. probability is grasped in knowledge point: (behavior A (100%)+behavior C (100%)+behavior E (0%))/number (3 times)=
67%
2. probability is grasped in knowledge point: (behavior B (0%)+behavior D (100%))/number (2 times)=50%
When not having classroom instruction interaction, probability calculation formula: this school the same year level segment students rate * (1- is grasped in knowledge point
X%) * (1-Y%)
It is related then indicate that deviation index is 0 at this point, X indicates the departure degree of knowledge point in the knowledge point and knowledge mapping；
Y indicates that the knowledge point is similar to historical knowledge point, then departure degree is 0.When tentative uncorrelated to both of the above, deviation index is
10.Specifically it can continue to adjust according to the continuous accumulation of data.
Then:
1. probability is grasped in knowledge point: 95%* (1-0%) * (1-10%)=85.5%
Wherein, 95% is that 1. the same year level segment student's history in this school grasps probability for knowledge point；
2. probability is grasped in knowledge point: 80%* (1-10%) * (1-0%)=72%
Wherein, 80% is that 2. the same year level segment student's history in this school grasps probability for knowledge point；
3. probability is grasped in knowledge point: 97%* (1-0%) * (1-0%)=97%
Wherein, 97% is that 3. the same year level segment student's history in this school grasps probability for knowledge point；
4. probability is grasped in knowledge point: 85%* (1-10%) * (1-10%)=68%
Wherein, 85% is that 4. the same year level segment student's history in this school grasps probability for knowledge point.
A little total master rate of giving lessons are as follows:
[(mood+focus)/2] * [(knowledge point A master rate+knowledge point B master rate+...+knowledge point N master rate)/N]
2. 3. 4. it if having 1. in the knowledge lectured in a little of giving lessons, wherein 1. 2. there is behavior operation, is 3. 4. operated without behavior,
Student's mood is calmness, and focus is absorbed.
Then:
Student is in the master rate a little of giving lessons are as follows:
(95%+100%)/2* (67%+50%+97%+68%)/4=68.7%
Embodiment two
It is with the difference of embodiment, key is given lessons a little, and classification and memory module award instructional video according to key automatically
After the association of class point is split, segmentation mark is carried out, when user watches instructional video, progress bar is equipped with cut-point, and
When mouse is moved to cut-point position, it can show that key is given lessons a keyword, awards to facilitate user quickly to position related keyword
Class point video location.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, is familiar with
The those skilled in the art should be understood that the present invention includes but is not limited to content described in specific embodiment above.It is any
Modification without departing from function and structure principle of the invention is intended to be included in the range of claims.
Claims (6)
1. based on a crucial internet teaching assisted teaching system for evaluation of giving lessons, characterized by comprising:
Student terminal image collecting device, acquisition are evaluated the face-image of student；
Information carrying means, for the face-image of student terminal image acquisition device to be sent at classroom behavior analysis
Manage device；
Classroom behavior analysis processor judges the mood of student by the processing to face-image and focus of listening to the teacher, and will learn
The raw mood when study key gives lessons the multiple knowledge points being a little related to classify and assign respectively grasping probability value, respectively
It is happy: master rate 100%, tranquil: master rate 95%, it is passive: master rate 90%；The focus that will listen to the teacher classify and assign respectively
Give grasp probability value, be respectively absorbed in: master rate 100%, neutral: master rate 95% is deserted: master rate * 90%；
Wisdom classroom device is realized bidirectional transfer of information by information carrying means and student terminal, and is transmitted in fact by information
Now corresponding knowledge point is judged automatically by respectively being inscribed in interactive teaching and learning to wrong situation with the interactive teaching and learning of student terminal
Whether to grasp, the correct master rate of answer is 100%, and master rate is 0 when answer mistake, interactive teaching and learning is classified as a variety of behaviors,
The grasp probability of the knowledge point are as follows: the sum of probability/interactive teaching and learning number is grasped in multiple interactive teaching and learnings of a variety of behaviors；
Key is given lessons an evaluating apparatus, is calculated according to the analytical judgment result of classroom behavior analysis processor and wisdom classroom device
Key is given lessons a little total master rate: [(mood+focus)/2] * [grasps the sum of probability/N in device N number of knowledge point in wisdom classroom]；
Wisdom classroom device be provided with key give lessons a little automatically classification and memory module, the key give lessons a little automatically classifies
And memory module gives lessons instructional video being associated with and be split a little according to key, each key video of giving lessons is awarded with key
Class point keyword is named and is separately stored as a file.
2. according to claim 1 based on a crucial remote teaching assisted teaching system for evaluation of giving lessons, it is characterised in that:
The interactive teaching and learning includes classroom work, with hall feedback and random answer.
3. according to claim 1 based on a crucial remote teaching assisted teaching system for evaluation of giving lessons, it is characterised in that:
A key evaluating apparatus of giving lessons further includes historical data statistical module, the history for knowledge point each before counting the student
Probability is grasped, and counts the history master rate of other each knowledge points of this course of student of this school the same year level segment.
4. according to claim 3 based on a crucial remote teaching assisted teaching system for evaluation of giving lessons, it is characterised in that:
The key give lessons an evaluating apparatus further include association knowledge point grasp probabilistic forecasting module, association knowledge point grasp probabilistic forecasting
Module is stored with knowledge mapping system, and knowledge mapping system connects correlated knowledge point and similar knowledge point, knowledge based
Relationship in map system between knowledge point is predicted: in knowledge mapping system, knowledge point I and knowledge point II be it is related or
Similar knowledge point, has grasped knowledge point I, then predicts also to grasp knowledge point II.
5. according to claim 1 based on a crucial remote teaching assisted teaching system for evaluation of giving lessons, it is characterised in that:
The student terminal image collecting device is evaluated the face-image of student according to the acquisition of the time interval of setting.
6. according to claim 1 based on a crucial remote teaching assisted teaching system for evaluation of giving lessons, it is characterised in that:
The student terminal is provided with key and gives lessons a link module, for transferring the key by a key link module of giving lessons and awarding
Class point classify automatically and memory module in a corresponding key video of giving lessons watched.
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| CN111091733A (en) * | 2020-03-19 | 2020-05-01 | 浙江正元智慧科技股份有限公司 | Auxiliary detection system for real-time teaching achievements of teachers |
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| CN111738885A (en) * | 2020-06-28 | 2020-10-02 | 闵亨锋 | Student class attending quality evaluation method and system based on wearable device |
| CN112529748A (en) * | 2020-12-10 | 2021-03-19 | 成都农业科技职业学院 | Intelligent education platform based on time node mark feedback learning state |
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| CN111260515A (en) * | 2020-01-16 | 2020-06-09 | 北京合众美华教育投资有限公司 | Network teaching platform |
| CN113256040A (en) * | 2020-02-07 | 2021-08-13 | 顾得科技教育股份有限公司 | Learning trajectory analysis system |
| CN111091733A (en) * | 2020-03-19 | 2020-05-01 | 浙江正元智慧科技股份有限公司 | Auxiliary detection system for real-time teaching achievements of teachers |
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