CN109741649B - Classroom interactive learning platform for wisdom teacher - Google Patents
Classroom interactive learning platform for wisdom teacher Download PDFInfo
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- CN109741649B CN109741649B CN201910155411.0A CN201910155411A CN109741649B CN 109741649 B CN109741649 B CN 109741649B CN 201910155411 A CN201910155411 A CN 201910155411A CN 109741649 B CN109741649 B CN 109741649B
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Abstract
The invention discloses an intelligent teacher classroom interactive learning platform which comprises a user, a web firewall, a vpc virtual network, load balancing and an intranet area, wherein the user, the web firewall, the vpc virtual network, the load balancing and the intranet area are sequentially connected in a one-way mode, and the intranet area comprises an EC2 instance group, POLY used for feeding back an EC2 instance group entrusting instruction, s3 object storage used for carrying out data storage on an EC2 instance group, an RDS database instance, a data analysis server based on c3 and log backup records used for carrying out use information recording on an EC2 instance group. The invention solves the problem that students are shy and dare not to speak English, and enables the students pad to carry out optimization analysis according to the daily learning condition and the individual learning characteristic of the students by the matching use of the condition-based language model and the time-series-based dynamic clustering algorithm, thereby carrying out targeted help and personalized coaching on the students.
Description
Technical Field
The invention relates to the technical field of intelligent teaching systems, in particular to an intelligent teacher classroom interactive learning platform.
Background
The intelligent guide system is an adaptive learning support system which enables a computer to play a role of a virtual guide to teach knowledge to learners and provide learning guidance by means of an artificial intelligence technology, is widely applied to the field of foreign education, plays an important role in promoting the personalized learning of students, is mature in research and development of the intelligent guide system and is mainly used for learning vocabularies of deaf-dumb children, learning English of domestic students and the like, and completes learning tasks by means of evaluation means such as dialogue with a 3D virtual teacher, timely scoring and the like.
The existing learning platform is an English learning approach advocated according to the national English course standard: the design aiming at specific knowledge points, such as word learning, spoken language improvement and the like, cannot replace teachers to give lessons in class, cannot solve the problem of uneven education caused by the lack of teachers and resources, and lacks of a perfect teaching design flow.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an intelligent teacher classroom interactive learning platform, and solves the problems that the existing English learning platform cannot replace a teacher to give lessons in classroom and lacks a perfect teaching design flow.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent teacher classroom interactive learning platform comprises a user, a web firewall, a vpc virtual network, load balancing and an intranet area which are sequentially connected in a one-way mode, wherein the intranet area comprises an EC2 instance group, POLY used for feeding back an EC2 instance group entrusting instruction, s3 object storage used for storing data of an EC2 instance group, an RDS database instance, a c 3-based data analysis server and a log backup record used for recording use information of an EC2 instance group, and the EC2 instance group comprises a teacher terminal and a student terminal.
Carefully, the teacher terminal includes the teacher pad that is used for the teacher to use, is used for the projecting apparatus of teaching projection and is used for carrying out the video monitoring equipment that the teaching content was shot to student and mr.
Carefully, the teacher pad comprises a task pushing system, a learning condition statistic function and a black screen function.
Carefully selecting, the student terminal comprises a student pad which is loaded with new generation English classroom learning software based on natural language interaction, relies on an artificial intelligent machine learning algorithm and integrates high-quality teaching resources, a teaching method and intelligent voice interaction.
In selection, the journal backup records include EC2 for storing student and teacher login information and storage files for information storage.
Carefully chosen, the artificial intelligence machine learning algorithm includes a condition-based language model and a dynamic clustering algorithm based on time series and text context, the condition-based language model being calculated by the following formula:
in the formula (1), L is an objective function, theta is a word sequence characteristic, and t isiThe order in which the word sequences appear in the text, Hθ: the context in which the sequence of words occurs,
the density probability function of the word sequence under the existing probability distribution, and the algorithm principle of the formula (1): based on the current language model, feature extraction and prediction based on time series conditions are added, which is described aboveIntroducing a model of the time relation among the word sequences according to the appearance sequence of the specific sequences and the relation between the appearance sequence and the context, and accurately constructing the probability of opportunity and the sequence probability of the appearance of the word sequences in the language, wherein the time sequence clustering algorithm is calculated by the following formula:
in the formula (2), ni k(t): student i grasps probability, λ, of word sequence k at time tg: speed of appearance of new word sequences, Hk(t) probability of occurrence of word sequence k at time t, algorithmic principle of equation (2): the purpose of cluster analysis is to classify students and perform self-adaptive pushing of contents according to the mastery degree of a specific word sequence, and an algorithm combines the probability of the word sequence appearing at a specific position of a context and the current mastery degree of the students, and describes the actual mastery probability of different students on a specific text after a conversation or the text is finished.
The beneficial effects are as follows:
1. the intelligent voice interaction system is arranged in the student pad, so that the learning interactivity of the student is enhanced, the intelligent voice interaction system is a good learning and communication partner of the student, the problem that the student is afraid of opening to speak English due to photophobia is solved, and the student pad can carry out optimization analysis according to the daily learning condition and the individual learning characteristic of the student through the matched use of the condition-based language model and the time-series-based dynamic clustering algorithm, so that the student pad can carry out targeted help and personalized coaching on the student.
2. The learning platform has a perfect teaching design flow through the matching use of polly, s3 object storage, an RDS database example, a data analysis server and log backup records, is an assistant and a tool for teachers to prepare lessons and study teaching, and improves the teaching professional level of the teachers through standard acoustic pronunciation; for the society, the problem of uneven education caused by teachers and resources deficiency is solved, and the teaching balance is facilitated.
Drawings
FIG. 1 is a system block diagram of the classroom interactive learning platform for an instructor;
FIG. 2 is a block diagram of an example population of EC2 of the present invention;
FIG. 3 is a block diagram of intelligent voice interaction in accordance with the present invention;
FIG. 4 is a block diagram of the present invention illustrating the use of the classroom interactive learning platform for an instructor.
Detailed Description
All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the present invention provides a technical solution: interactive learning platform in intelligent teacher's classroom is regional including user, web firewall, the vpc virtual network, load balancing and the intranet that carries out one-way connection in proper order, and wherein the full of vpc virtual network is called: the Wireless Personal Communications virtual network comprises an internal network area, an EC2(Elastic computer Cloud) instance group, poll for feeding back EC2 instance group entrusting instructions, an s3 object storage for performing data storage on the EC2 instance group, an RDS database instance, a data analysis server based on c3 and a log backup record for performing usage information recording on the EC2 instance group, wherein the EC2 instance group is named as follows: the Elastic computer Cloud instance group and the RDS database instance are all called as follows: the Relational Database Service Database instance, the EC2 instance group includes teacher terminals and student terminals.
As shown in fig. 2, the teacher terminal includes a teacher pad for teacher use, a projection device for teaching projection, and a video monitoring device for shooting teaching contents of students and teachers, where all of the pads are: portable Android device, chinese is abbreviated as: a tablet computer;
the teacher pad comprises a task pushing system, a learning condition statistic function and a black screen function, teachers can push teaching tasks through the teacher pad according to teaching notes through the task pushing system to control progress (relevant teaching tasks are carried out according to teaching task flows and classroom progress), and effective supervision is carried out on classrooms through the black screen function; through the learning condition statistic function, a teacher can timely know the whole class learning progress and the knowledge mastering condition;
the student terminal comprises a student pad which is loaded with new generation English classroom learning software based on natural language interaction, relies on an artificial intelligent machine learning algorithm and integrates high-quality teaching resources, a teaching method and intelligent voice interaction, and students can learn through the following learning approaches by utilizing the student pad: text reading (listening-heart reading-following reading-imitation reading-recording-contrast-trimming) -role reading (recording, contrast, correction) -memory activities (word selection, blank filling, full function sentence) -text reciting (prompting reciting or angle-dividing color reciting) -scene application-knowledge exercise-vocabulary memory-application-evaluation, and learning is performed in a targeted manner, which is more perfect than the English learning approach advocated by English course standard;
the log backup record comprises EC2 for storing student and teacher login information and storage files for information storage;
the artificial intelligence machine learning algorithm comprises a condition-based language model and a dynamic clustering algorithm based on time series and text context, wherein the condition-based language model is calculated by the following formula:
in the formula (1), L is an objective function, theta is a word sequence characteristic, and t isiThe order in which the word sequences appear in context, Hθ: the context in which the sequence of words occurs,
the density probability function of the word sequence under the existing probability distribution, and the algorithm principle of the formula (1): based on the current language model, the feature extraction and prediction based on the time sequence condition are added, the time relationship between the word sequences is introduced into the model by describing the appearance sequence of the specific sequences in the context and the relationship between the specific sequences and the context, the probability of opportunity and the sequence probability of the appearance of the word sequences in the language are accurately constructed, and the time sequence clustering algorithm is calculated by the following formula:
in the formula (2), ni k(t): student i grasps probability, λ, of word sequence k at time tg: speed of appearance of new word sequences, Hk(t) probability of occurrence of word sequence k at time t, algorithmic principle of equation (2): the purpose of cluster analysis is to classify students and perform self-adaptive pushing of contents according to the mastery degree of a specific word sequence, and an algorithm combines the probability of the word sequence appearing at a specific position of a context and the current mastery degree of the students, and describes the actual mastery probability of different students on a specific text after a conversation or the text is finished.
When the intelligent voice interaction is used, as shown in fig. 3, a student pad performs language information processing on a natural language layer through information of scene conversation of a user layer (student), the processed language information is respectively transmitted to the intelligent background interaction and analysis feedback and the information feedback processing is performed, and the processed information can be reversely fed back to the student to assist the student in learning.
When the teacher pad is used, as shown in fig. 4, an executive teacher issues activities to student pads used by students through the teacher pad, a user (a scientific teacher) divides courses according to units, courses and activities, each unit contains 4 course contents (during 4 courses), each course corresponds to one lesson and contains activities to be completed by each lesson, each activity corresponds to one learning module, the students use the student pads to process according to the issued activities, and after finishing learning, the students receive data through a background and feed back learning conditions of the students to the teacher pad.
When in use: a user (a scientific teacher) enters an EC2 example group in an intranet area through a web firewall, a vpc virtual network and load balance according to a teaching plan, teaching contents are transmitted to a teacher pad of an executive teacher in an EC2 strength group, the executive teacher pushes teaching tasks to student pads of students through the teacher pad, the progress is controlled (relevant teaching tasks are carried out according to a teaching task flow and the classroom progress), the classroom is effectively supervised through a black screen function, the executive teacher timely learns the whole class learning progress and knowledge mastering conditions through a learning condition statistic function, the executive teacher can also carry out teaching and video monitoring equipment for shooting and recording through projection equipment, the students can learn the pushed teaching tasks by using the student pads, the students receive data through a background after completing the tasks and feed back the learning conditions of the students to the teacher pad, the s3 object storage can store data of teachers and students, the RDS database instance can back up the data, the data are convenient to restore, the data analysis server can call the backed-up data to perform analysis processing, and log backup records can record and store use information of the teachers and the students.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (4)
1. Intelligent teacher classroom interactive learning platform is regional including user, web that carry out one-way connection in proper order prevent hot wall, vpc virtual network, load balancing and intranet, its characterized in that: the intranet area comprises an EC2 instance group, poll for feeding back EC2 instance group entrusting instructions, an s3 object storage for performing data storage on an EC2 instance group, an RDS database instance, a c 3-based data analysis server and a log backup record for performing usage information recording on an EC2 instance group, wherein the EC2 instance group comprises a teacher terminal and a student terminal;
the student terminal comprises a student pad which is loaded with new generation English classroom learning software based on natural language interaction, relies on an artificial intelligent machine learning algorithm and integrates high-quality teaching resources, a teaching method and intelligent voice interaction;
the artificial intelligence machine learning algorithm comprises a condition-based language model and a dynamic clustering algorithm based on time series and text context, wherein the condition-based language model is calculated by the following formula:
in the formula (1), L is an objective function, theta is a word sequence characteristic, and t isiThe order in which the word sequences appear in the text, Hθ: the context in which the sequence of words occurs,
the density probability function of the word sequence under the existing probability distribution, and the algorithm principle of the formula (1): based on the current language model, feature extraction and prediction based on time sequence conditions are added, the time relationship among word sequences is introduced into the model by describing the appearance sequence of specific sequences in the context and the relationship between the specific sequences and a text structure, the probability of opportunity and the sequence probability of the appearance of the word sequences in the language are accurately constructed, and the time sequence clustering algorithm is calculated by the following formula:
in the formula (2), ni k(t): student i grasps probability, λ, of word sequence k at time tg: speed of appearance of new word sequences, Hk(t) probability of occurrence of word sequence k at time t, algorithmic principle of equation (2):the purpose of cluster analysis is to classify students and perform self-adaptive pushing of contents according to the mastery degree of a specific word sequence, and an algorithm combines the probability of the word sequence appearing at a specific position of a context and the current mastery degree of the students, and describes the actual mastery probability of different students on a specific text after a conversation or the text is finished.
2. The classroom interactive learning platform of claim 1, wherein: the teacher terminal comprises a teacher pad used by a teacher, projection equipment used for teaching projection and video monitoring equipment used for shooting teaching contents of students and teachers.
3. The classroom interactive learning platform of claim 1, wherein: the teacher pad comprises a task pushing system, a learning condition counting function and a black screen function.
4. The classroom interactive learning platform of claim 1, wherein: the journal backup records include EC2 for storing student and teacher login information and storage files for information storage.
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| CN202650291U (en) * | 2012-06-26 | 2013-01-02 | 黄庆凯 | Classroom interactive teaching apparatus adopting hand-held terminal |
| CN105225549A (en) * | 2015-10-13 | 2016-01-06 | 安阳师范学院 | A kind of Language for English learning system |
| CN105390038A (en) * | 2015-12-18 | 2016-03-09 | 广东公信智能会议股份有限公司 | Classroom multifunctional timely feedback system |
| CN107454185A (en) * | 2017-08-23 | 2017-12-08 | 邓明亮 | One kind is based on cloud platform Teaching in University resource pool management system |
| CN108364513A (en) * | 2018-01-12 | 2018-08-03 | 安徽安必生信息科技有限公司 | Wisdom classroom realization method and system based on high in the clouds |
| CN109119064A (en) * | 2018-09-05 | 2019-01-01 | 东南大学 | A kind of implementation method suitable for overturning the Oral English Teaching system in classroom |
| CN109118860A (en) * | 2018-09-19 | 2019-01-01 | 江苏金惠甫山软件科技有限公司 | Expert English language training by qualified teachers system and method based on artificial intelligence |
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