CN110853432A - Mobile learning platform for universities and colleges of professorship - Google Patents
Mobile learning platform for universities and colleges of professorship Download PDFInfo
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Abstract
The invention discloses a mobile learning platform for higher vocational schools, which belongs to the field of learning platforms and comprises a user verification unit, a mobile end attention unit, a WeChat server unit, a platform server unit, a data management unit, a system management unit, a message pushing unit, a forum unit, a statistical analysis unit, a safety maintenance unit and a user editing and extending unit. Put on mobile platform together through student's study and mr and interaction, the problem that current college teachers and students exchange the interaction few has been solved, student's study requirement has been satisfied, improve the quality of teaching, simultaneously through distributing certain study task, can satisfy and monitor student's preview before class, go on class and review, and put the course of the whole school and relevant content on the study platform, every student can all learn or to corresponding teacher's study of listening to class to the course of interest, the chance that the student studied as required has been increased, accord with the custom that present student used cell-phone study.
Description
Technical Field
The invention relates to the field of mobile learning platforms, in particular to a mobile learning platform for universities and colleges of professorship.
Background
In the development process of the internet in China, the PC internet is saturated day by day, and the mobile internet shows the well-jet development. How to organically integrate the mobile internet technology with education and teaching and fully exert the learning characteristics and advantages based on mobile intelligent equipment has gradually become a topic explored by teachers.
In the blowout-like development process of the mobile internet, the mobile terminal application program launched by Tencent in 2011 by West telecommunications is undoubtedly the software which is the fastest in popularity and has the most users. By the first quarter of 2015, WeChat has covered more than 90% of smartphones throughout China, and monthly active users reach 5.49 hundred million. The writer finds in daily teaching that more than 70% of students in the whole class send messages or check friend circles by using the WeChat when the student has a break, and the visible WeChat becomes an indispensable tool in daily life of the students. However, the existing WeChat is also used in the study of colleges and universities, and an efficient mobile learning platform needs to be designed.
Disclosure of Invention
The invention aims to provide a mobile learning platform for higher vocational schools, and solves the technical problem that the traditional learning mode cannot meet the learning requirements of the students at present.
A mobile learning platform for higher vocational schools comprises a user verification unit, a mobile end attention unit, a WeChat server unit, a platform server unit, a data management unit, a system management unit, a message pushing unit, a forum unit, a statistical analysis unit, a safety maintenance unit and a user editing expansion unit, wherein the user verification unit and the mobile end attention unit are connected with the WeChat server unit, the WeChat server unit is connected with the platform server unit, and the data management unit, the system management unit, the message pushing unit, the forum unit, the statistical analysis unit, the safety maintenance unit and the user editing expansion unit are connected with the WeChat server unit;
the mobile terminal attention unit is used for a user to input a platform name to search attention or scan a code to pay attention, and after the attention is finished, the mobile terminal attention unit pushes the user verification unit out;
the user authentication unit is used for inputting authentication information of students or teachers, the WeChat server unit pushes the authentication information to the platform server unit, and when the authentication is performed by teachers and students in the school, the platform server unit detects the binding WeChat information and pushes page information corresponding to the authentication user level;
the WeChat server unit is used for being used for micro development extension and is also used for a processing interface of the platform early stage and WeChat information;
the platform server unit is used for processing and storing the whole platform data;
the data management unit is used for teachers or managers to upload learning data or inform data;
the system management unit is used for managing the user, managing the online learned courses and simultaneously storing and backing up the platform operation data to a corresponding database in real time;
the information pushing unit is used for pushing in-school notification, learning tasks and learning course content information, meanwhile, teachers and students interact in real time, the students learn courses, and meanwhile, learning evaluation is carried out after the students learn the courses;
the forum unit is used for the students to send postings to discuss life and study, and classifies the postings according to semantic analysis;
the statistical analysis unit is used for counting the learning and discussion of students, counting the attention and scoring data of each course and counting the active discussion data of teachers and students;
the security maintenance unit is used for processing network attacks and whether all contents issued or sent in the semantic analysis platform violate rules or not, and informing managers to process the contents in time;
and the user editing and expanding unit is a module for a user to edit and expand the user requirements according to the requirements.
The system management unit comprises a user management module, a course management module and an operation data backup module, wherein the user management module is used for increasing the user and setting the user authority, the course management module is used for adding learning courses and setting a teacher corresponding to the relationship, and the operation data backup module is used for managing system operation logs.
The message propelling movement unit is including informing message module, study task module, course knowledge module, teacher-student interactive module, study module and evaluation module in the school, inform message module in the school is used for supplying the interior administration of school to publish the notice of school to carry out for corresponding student or teacher, study task module propelling every time quantum of student or the study task in the period, perhaps teacher is in the teaching housework of every time quantum or the period, and course knowledge module is used for propelling teaching courseware, reference material and the course video that the corresponding teacher of every course of propelling movement long-term passes, teacher-student interactive module is used for supplying the student to ask the teacher according to every course after study process or class, and the teacher answers and discusses the question of student, the study module is used for supplying the student to study, at the study process real-time detection study page, meanwhile, regularly popping out student verification information to detect whether the students study seriously; the evaluation module is used for evaluating the learning content of the student after learning, meanwhile, the student who cannot pass the evaluation needs to repeatedly learn the course, and the learning task is completed after the student knows that the evaluation passes.
The forum unit includes the posting and posts the module, shares module, subregion module and semantic analysis module, the posting posts and posts the module and is used for supplying teacher and student or mr in the school to post and reply and post, it is used for supplying teacher and student or teacher in the school to share the platform content to third party real-time communication system to share the module, the subregion module carries out classification to posting content according to school teaching department or content, semantic analysis module carries out classification to posting content and release content according to semantic analysis algorithm.
The semantic analysis algorithm comprises the following steps:
generating a learning platform semantic synonym table, generating learning platform corpus augmentation data, inputting the augmentation data into a neural network model for training, generating a related semantic sentence expression vector model and a classification model, detecting semantic data input by a user in real time, extracting labeled characters or sentences according to the synonym table, and carrying out vector measurement and semantic classification on the posted data sentences without labels.
The process of generating the corpus augmentation data of the learning platform comprises the following steps:
inputting a platform corpus, judging whether the corpus number N is more than or equal to 100, directly sampling and outputting the corpus if N is less than 100, if N is more than or equal to 100, executing next step, segmenting the input corpus to obtain a segmentation table of the corpus situation, and generating a random variable N in [0,1,2,3,4] at equal probability, if N is 0, generating new corpus by adopting 3 words in the segmentation table of the corpus situation by adopting a synonym replacement method; if N is 1, a random synonym of a random word is found in the sentence, and the synonym is inserted into a random position in the sentence to generate a new corpus; and randomly selecting two word exchange positions in the participle table to generate a new corpus if N is 2, randomly deleting 1 word in the participle table to generate a new corpus if N is 3, and directly outputting the corpus if N is 4.
Statistics analysis unit includes student's study statistics module, course concern study statistics module, teachers and students and invigorates data statistics module and score analysis statistics module, student study statistics module statistics student's study task condition, to concrete study time and completion rate statistics demonstration, the study statistics module is concerned with in the course and is used for the degree of concern and the student data of grading of every teacher's every course that statistics module is used for making statistics of, teachers and students invigorate data statistics module and is used for making statistics of student and teacher's discussion data, score analysis statistics module is used for making statistics of student's the qualified end of grade of appraising at ordinary times.
The security maintenance unit comprises a network attack maintenance module, a semantic analysis detection module and a data deletion control module, wherein the network attack maintenance module is used for maintaining a platform security network and timely notifying an administrator when a network attack occurs, the semantic analysis detection module is used for analyzing whether contents issued by teachers or contents generated by learning contain illegal words or contexts, timely marking and notifying the administrator of manual analysis and management, and the data deletion control module is used for allowing the administrator to delete illegal data or remind a posting user.
By adopting the technical scheme, the invention has the following technical effects:
the invention is put on the mobile platform through the study of students and teacher and interaction, solve the problem that the teacher and student of the colleges and universities exchange and interact less, have satisfied the study requirement of the student, improve the teaching quality, through distributing certain study task at the same time, can meet and monitor student's pre-study before class, go on and review after finishing class, and put course and relevant content of the whole school on the study platform, every student can study the course of interest or attend the course to study to the corresponding teacher, increase the chance that the student studies as required, accord with the habit of using the mobile phone of the student at present.
Drawings
FIG. 1 is a block diagram of the architecture of the platform of the present invention.
Fig. 2 is a system management unit of the present invention.
Fig. 3 is a message push unit of the present invention.
Fig. 4 is a forum unit of the present invention.
FIG. 5 is a statistical analysis unit of the present invention.
Fig. 6 is a safety maintenance unit of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, preferred embodiments are given and the present invention is described in further detail. It should be noted, however, that the numerous details set forth in the description are merely for the purpose of providing the reader with a thorough understanding of one or more aspects of the present invention, which may be practiced without these specific details.
As shown in fig. 1, the mobile learning platform for higher vocational schools according to the present invention includes a user verification unit, a mobile end attention unit, a wechat server unit, a platform server unit, a data management unit, a system management unit, a message push unit, a forum unit, a statistical analysis unit, a security maintenance unit, and a user editing extension unit. The user authentication unit and the mobile terminal attention unit are connected with the WeChat server unit, the WeChat server unit is connected with the platform server unit, and the data management unit, the system management unit, the message pushing unit, the forum unit, the statistical analysis unit, the safety maintenance unit and the user editing and expanding unit are connected with the WeChat server unit.
The mobile terminal attention unit is used for a user to input a platform name to search attention or scan a code to pay attention, and after the attention is finished, the mobile terminal attention unit pushes the user verification unit out. The mobile terminal attention unit is used as an entrance needing attention of a front end, and all users in the flight communication micro system can pay attention.
The user verification unit is used for inputting verification information of students or teachers, the WeChat server unit pushes the verification information to the platform server unit, and when the verification is conducted to teachers and students in the school, the platform server unit detects the binding WeChat information and pushes page information corresponding to the verification user level. The user authentication unit is used for distinguishing teachers and students in a school from staff outside the school, the grades of each user are different, and the user authentication unit is divided into staff outside the school, students and teachers, wherein the teachers can be further divided into teachers in class and teachers in management departments.
The WeChat server unit is used for being used for micro development extension and is also used for a platform early stage and a WeChat information processing interface. The WeChat server unit is a Tencent WeChat server and can be directly called in WeChat extension.
The platform server unit is used for processing and storing the whole platform data. The platform server unit is used as an autonomous data server of the platform, and can be a cloud server and the like.
The data management unit is used for teachers or managers to upload learning data or inform data. The data management unit is mainly used for uploading courseware, post-class work and the like by teachers, and also is used for managing students in advance before class and the like.
The system management unit is used for managing the user, managing the online learning courses and simultaneously storing and backing up the platform operation data to the corresponding database in real time. The system management unit mainly manages users used by the system, including users inside and outside the school, and mainly sets the authority for teachers.
The information pushing unit is used for pushing notification, learning tasks and learning course content information in a school, teachers and students interact with each other in real time, the students learn courses, and the students can conduct learning evaluation after learning.
The forum unit is used for the students to send postings to discuss life and study, and classifies the postings according to semantic analysis.
The statistical analysis unit is used for counting students' learning and discussion, counting the attention and scoring data of each course, and counting active discussion data of teachers and students.
The security maintenance unit is used for processing network attacks and whether all contents issued or sent in the semantic analysis platform violate rules or not, and informing managers to process the contents in time.
And the user editing and expanding unit is a module for a user to edit and expand the user requirements according to the requirements.
As shown in fig. 2, the system management unit includes a user management module, a course management module and an operation data backup module, the user management module is used for adding and setting user permission to the user, the course management module is used for adding learning courses and setting a teacher corresponding to the relationship, and the operation data backup module is used for managing the system operation log.
As shown in fig. 3, the message pushing unit comprises an in-school notification message module, a learning task module, a course knowledge module, a teacher-student interaction module, a learning module and an evaluation module, the in-school notification message module is used for providing the in-school management department to issue the notification of the school and to be pushed to corresponding students or teachers, the learning task module pushes the learning task of each student in each time period or the period, or the teacher in each time period or the period, the course knowledge module is used for pushing the teaching courseware, reference materials and course videos of the teacher long pass corresponding to each course, the teacher-student interaction module is used for the students to ask the teacher according to each course after the learning process or the class, the teacher answers and discusses the questions of the students, the learning module is used for the students to learn, and the learning page is detected in real time in the learning process, meanwhile, regularly popping out student verification information to detect whether the students study seriously; the evaluation module is used for evaluating the learning content of the student after learning, meanwhile, the student who cannot pass the evaluation needs to repeatedly learn the course, and the learning task is completed after the student knows that the evaluation passes.
As shown in fig. 4, the forum unit includes the posting and posts the module, shares module, subregion module and semantic analysis module, the posting and posts the module and is used for supplying teacher and student or teacher in the school to post and reply, share the module and be used for supplying teacher and student or teacher in the school to share the third party real-time communication system to platform content, the subregion module carries out classification to posting content according to school teaching department or content, semantic analysis module carries out classification to posting content and posting content according to semantic analysis algorithm. The semantic analysis algorithm comprises the following steps: generating a learning platform semantic synonym table, generating learning platform corpus augmentation data, inputting the augmentation data into a neural network model for training, generating a related semantic sentence expression vector model and a classification model, detecting semantic data input by a user in real time, extracting labeled characters or sentences according to the synonym table, and carrying out vector measurement and semantic classification on the posted data sentences without labels. The process of generating the corpus augmentation data of the learning platform comprises the following steps: inputting a platform corpus, judging whether the corpus number N is more than or equal to 100, directly sampling and outputting the corpus if N is less than 100, if N is more than or equal to 100, executing next step, segmenting the input corpus to obtain a segmentation table of the corpus situation, and generating a random variable N in [0,1,2,3,4] at equal probability, if N is 0, generating new corpus by adopting 3 words in the segmentation table of the corpus situation by adopting a synonym replacement method; if N is 1, a random synonym of a random word is found in the sentence, and the synonym is inserted into a random position in the sentence to generate a new corpus; and randomly selecting two word exchange positions in the participle table to generate a new corpus if N is 2, randomly deleting 1 word in the participle table to generate a new corpus if N is 3, and directly outputting the corpus if N is 4.
As shown in fig. 5, statistics analysis unit includes student's study statistics module, course attention study statistics module, teachers and students active data statistics module and score analysis statistics module, student's study statistics module statistics student's study task condition, to concrete study time and completion rate statistics demonstration, the study statistics module is watched to course attention be used for making statistics of the attention degree and the student data of grading of every teacher's every course, teachers and students active data statistics module is used for making statistics of student and teacher's discussion data, score analysis statistics module is used for making statistics of student's at ordinary times assessment score qualification end.
As shown in fig. 6, the security maintenance unit includes a network attack maintenance module, a semantic analysis detection module, and a data deletion management and control module, the network attack maintenance module is used to maintain a platform security network, and when a network attack occurs, an administrator is notified in time, the semantic analysis detection module is used to analyze whether contents issued by a teacher or contents of a post for learning to grow contain an illegal word or context, and to mark and notify the administrator of manual analysis and management in time, and the data deletion management and control module is used for the administrator to delete illegal data or remind the posting user.
Put on mobile platform together through student's study and mr and interaction, the problem that current college teachers and students exchange the interaction few has been solved, student's study requirement has been satisfied, improve the quality of teaching, simultaneously through distributing certain study task, can satisfy and monitor student's preview before class, go on class and review, and put the course of the whole school and relevant content on the study platform, every student can all learn or to corresponding teacher's study of listening to class to the course of interest, the chance that the student studied as required has been increased, accord with the custom that present student used cell-phone study.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be construed as the protection scope of the present invention.
Claims (8)
1. The utility model provides a mobile learning platform of universities and colleges of professorship which characterized in that: the system comprises a user authentication unit, a mobile terminal attention unit, a WeChat server unit, a platform server unit, a data management unit, a system management unit, a message pushing unit, a forum unit, a statistical analysis unit, a safety maintenance unit and a user editing and expanding unit, wherein the user authentication unit and the mobile terminal attention unit are connected with the WeChat server unit, the WeChat server unit is connected with the platform server unit, and the data management unit, the system management unit, the message pushing unit, the forum unit, the statistical analysis unit, the safety maintenance unit and the user editing and expanding unit are connected with the WeChat server unit;
the mobile terminal attention unit is used for a user to input a platform name to search attention or scan a code to pay attention, and after the attention is finished, the mobile terminal attention unit pushes the user verification unit out;
the user authentication unit is used for inputting authentication information of students or teachers, the WeChat server unit pushes the authentication information to the platform server unit, and when the authentication is performed by teachers and students in the school, the platform server unit detects the binding WeChat information and pushes page information corresponding to the authentication user level;
the WeChat server unit is used for being used for micro development extension and is also used for a processing interface of the platform early stage and WeChat information;
the platform server unit is used for processing and storing the whole platform data;
the data management unit is used for teachers or managers to upload learning data or inform data;
the system management unit is used for managing the user, managing the online learned courses and simultaneously storing and backing up the platform operation data to a corresponding database in real time;
the information pushing unit is used for pushing in-school notification, learning tasks and learning course content information, meanwhile, teachers and students interact in real time, the students learn courses, and meanwhile, learning evaluation is carried out after the students learn the courses;
the forum unit is used for the students to send postings to discuss life and study, and classifies the postings according to semantic analysis;
the statistical analysis unit is used for counting the learning and discussion of students, counting the attention and scoring data of each course and counting the active discussion data of teachers and students;
the security maintenance unit is used for processing network attacks and whether all contents issued or sent in the semantic analysis platform violate rules or not, and informing managers to process the contents in time;
and the user editing and expanding unit is a module for a user to edit and expand the user requirements according to the requirements.
2. The mobile learning platform of claim 1, wherein: the system management unit comprises a user management module, a course management module and an operation data backup module, wherein the user management module is used for increasing the user and setting the user authority, the course management module is used for adding learning courses and setting a teacher corresponding to the relationship, and the operation data backup module is used for managing system operation logs.
3. The mobile learning platform of claim 1, wherein: the message propelling movement unit is including informing message module, study task module, course knowledge module, teacher-student interactive module, study module and evaluation module in the school, inform message module in the school is used for supplying the interior administration of school to publish the notice of school to carry out for corresponding student or teacher, study task module propelling every time quantum of student or the study task in the period, perhaps teacher is in the teaching housework of every time quantum or the period, and course knowledge module is used for propelling teaching courseware, reference material and the course video that the corresponding teacher of every course of propelling movement long-term passes, teacher-student interactive module is used for supplying the student to ask the teacher according to every course after study process or class, and the teacher answers and discusses the question of student, the study module is used for supplying the student to study, at the study process real-time detection study page, meanwhile, regularly popping out student verification information to detect whether the students study seriously; the evaluation module is used for evaluating the learning content of the student after learning, meanwhile, the student who cannot pass the evaluation needs to repeatedly learn the course, and the learning task is completed after the student knows that the evaluation passes.
4. The mobile learning platform of claim 1, wherein: the forum unit includes the posting and posts the module, shares module, subregion module and semantic analysis module, the posting posts and posts the module and is used for supplying teacher and student or mr in the school to post and reply and post, it is used for supplying teacher and student or teacher in the school to share the platform content to third party real-time communication system to share the module, the subregion module carries out classification to posting content according to school teaching department or content, semantic analysis module carries out classification to posting content and release content according to semantic analysis algorithm.
5. The mobile learning platform of claim 4, wherein: the semantic analysis algorithm comprises the following steps:
generating a learning platform semantic synonym table, generating learning platform corpus augmentation data, inputting the augmentation data into a neural network model for training, generating a related semantic sentence expression vector model and a classification model, detecting semantic data input by a user in real time, extracting labeled characters or sentences according to the synonym table, and carrying out vector measurement and semantic classification on the posted data sentences without labels.
6. The mobile learning platform of claim 5, wherein: the process of generating the corpus augmentation data of the learning platform comprises the following steps:
inputting a platform corpus, judging whether the corpus number N is more than or equal to 100, directly sampling and outputting the corpus if N is less than 100, if N is more than or equal to 100, executing next step, segmenting the input corpus to obtain a segmentation table of the corpus situation, and generating a random variable N in [0,1,2,3,4] at equal probability, if N is 0, generating new corpus by adopting 3 words in the segmentation table of the corpus situation by adopting a synonym replacement method; if N is 1, a random synonym of a random word is found in the sentence, and the synonym is inserted into a random position in the sentence to generate a new corpus; and randomly selecting two word exchange positions in the participle table to generate a new corpus if N is 2, randomly deleting 1 word in the participle table to generate a new corpus if N is 3, and directly outputting the corpus if N is 4.
7. The mobile learning platform of claim 1, wherein: statistics analysis unit includes student's study statistics module, course concern study statistics module, teachers and students and invigorates data statistics module and score analysis statistics module, student study statistics module statistics student's study task condition, to concrete study time and completion rate statistics demonstration, the study statistics module is concerned with in the course and is used for the degree of concern and the student data of grading of every teacher's every course that statistics module is used for making statistics of, teachers and students invigorate data statistics module and is used for making statistics of student and teacher's discussion data, score analysis statistics module is used for making statistics of student's the qualified end of grade of appraising at ordinary times.
8. The mobile learning platform of claim 1, wherein: the security maintenance unit comprises a network attack maintenance module, a semantic analysis detection module and a data deletion control module, wherein the network attack maintenance module is used for maintaining a platform security network and timely notifying an administrator when a network attack occurs, the semantic analysis detection module is used for analyzing whether contents issued by teachers or contents generated by learning contain illegal words or contexts, timely marking and notifying the administrator of manual analysis and management, and the data deletion control module is used for allowing the administrator to delete illegal data or remind a posting user.
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| CN110196977A (en) * | 2019-05-31 | 2019-09-03 | 广西南宁市博睿通软件技术有限公司 | A kind of intelligence alert inspection processing system and method |
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| CN111784551A (en) * | 2020-06-18 | 2020-10-16 | 广西农业职业技术学院 | Student daily data acquisition and processing system |
| CN112948645A (en) * | 2021-02-01 | 2021-06-11 | 武汉点开科技有限公司 | Knowledge sharing platform |
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