CN112541847A - Big data technology-based online-offline combined intelligent life research system - Google Patents
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Abstract
The invention relates to the technical field of education and teaching, in particular to an online-offline combined intelligent life research system based on a big data technology, which integrates an XR (X-ray diffraction) technology, a fusion communication technology, an AI (AI) technology and a big data technology, combines education and life scenes, and realizes online learning experience through online learning, online interaction and online assessment; through knowledge expropriation, online learning map, interactive accompanying type learning guidance, star value reward issuing and rights and interests exchange, the learning interest of students is excited, and the interestingness, effectiveness and continuity of learning are realized. According to the invention, through the business mode of intelligent life research, the development of regional industrial resources into a social classroom is supported, the current situations of insufficient courses and deficient practice of comprehensive practice activities of students can be met, the cost expenditure of practice education can be reduced, the regional, social and public benefits of the practice research education can be reduced, the social quality education course system for the comprehensive development of the German intelligence, the American labor can be realized, and the comprehensive development of the students can be promoted.
Description
Technical Field
The invention relates to the technical field of education and teaching, in particular to an online and offline intelligent life research system based on a big data technology.
Background
The old people can be learnt about the basic meanings of 'life is education' and 'life is education': first, "life, i.e., education" is originally owned by the human society, and life education is generated from the human life, and changes along with the change of the human life. Second, "life, i.e., education" corresponds to various lives in human social reality, and life education is education in life and education is performed in various lives. Third, "Life education" is lifelong education, which is an education that is common with life. The background of student learning as advocated by the new course is living. The students finally want to move to the society and live, and the new course only reflects the needs of the society and the life and helps the students to understand the social life, so that schools become a part of the social life and can really embody the essential functions of the course. For each student individual, the living world is the first, and the knowledge world is differentiated from the living world and serves lives. The invention effectively excavates resources in life and develops into courses, so that life experience education is curriculum, children feel touch, understand life, exercise ability, sublime spirit, self-exploration and form quality under the correct guidance of parents, and positive life attitude and correct value view can be gradually formed to form self-development ability and quality. The life of students can not leave the society, only if the whole society is changed into a school, the educational objects are richer, and the educational significance can be inexhaustible.
With the rapid development of internet technology in the 21 st century, the production process is increasingly intelligent, and creative and pioneering new talents become the first need of the current society. The individuation and rich creativity become the competitive cost of the future social survival. In modern society, children are the center of every family, and the growth of children is deeply concerned by parents. And at present, after 80 and 90, parents can receive higher education, the education concept is greatly changed compared with the prior art, the learning performance of children is no longer the only standard for measuring the children, and the cultivation and exercise of the comprehensive quality and comprehensive ability of the children are more emphasized. The original education mode is reformed, a new education concept and system are established, the goal of cultivating novel talents is completed, and people pay more and more attention today. It is well recognized that good performance is not necessarily good in the future, which depends on how high the child's combined abilities are.
The influence of the development of global new crown epidemic on the education industry in 2020 is particularly strong: the Internet online education develops rapidly, and online learning becomes the main form of home learning of students. Online self-help learning education will become the main form of future home education.
The improvement of the quality and ability of students can not be supported by the life scene. Under the background, the inventor finds that most of the existing quality education systems are used for learning a certain disciplinary specialty, such as art, music and the like, and have weak relevance with life as a whole. In the aspect of quality education and life education, a comprehensive system is not available, and a system which is rich in content, continuous in course, interesting in learning mode, traceable in data and capable of learning continuously can be provided for students. Can let child independently nimble study promptly, can also solve the conflict problem of head of a family daily study guardianship and daily work simultaneously.
Therefore, the invention provides a complete online-offline combined intelligent life research system based on big data technology. The system comprises: the identity information authentication matching unit is used for identity matching between the learning terminals of the users; the course selection and registration unit is used for selecting and registering courses on the learning terminal by a user according to conditions such as cities, ages, interests and the like; the study course online learning unit is used for a user to learn the online part of the course on a learning terminal and support learning modes such as audio/video, intelligent AI voice, image-text and the like; the study point task guiding unit is used for a user to complete a task by checking guidance of characters, voice and pictures and combining a guiding prompt in an on-line scene on a learning terminal; the task achievement submitting unit can submit the task achievement in the modes of pictures, characters, voice, video and the like through the learning terminal after the user finishes the task; the task achievement testing unit can perform achievement testing in an on-line answering mode after the user finishes guidance at the learning terminal; the learning incentive unit is used for issuing corresponding star value rewards to the user by the system according to the test result after the user finishes learning; the star value store unit is used for carrying out prize exchange on the star value prizes acquired by the users in the star value store; and the learning file unit is used for recording all data of the learning process in the learning file of the user in the learning terminal, and the system automatically generates comprehensive evaluation according to the learning data.
At present, no system for carrying out course content design based on life scenes and further enabling students to learn and improve comprehensive capacity of quality education is available in the market, and the current common life scene learning mode is that teachers organize groups with students and finish a certain fixed site after completing a specific task. This type of activity suffers from the following problems:
1. and (3) time limitation: the time is short, the practical participation links of students are few, and the learning and harvesting are limited;
2. and (3) cycle limitation: the period of the type activity is long in spanning time and low in frequency, and students do not have continuity in learning.
3. And (4) region limitation: the conventional research is limited by regions and time and space, and is not convenient for forming systematic learning.
4. And (3) limiting the achievement exchange: the study interaction is basically limited to the school of this class, and the wide longitudinal and transverse connection is not formed.
5. Number of people and cost limitations: the current organization forms are all collective participation behaviors, and independent individuals cannot independently learn and practice experiences.
6. Learning results and effects do not fall into grade: at present, the learning mode has no system support, so that the performance, the result output, the learning result evaluation and the like of students have no data to be stored in the whole learning practice process.
The main reason is that no corresponding system support exists in the current market, students can independently select favorite courses, practice experience learning can be completed by one person at any time and any place, and data in the whole process can form continuous electronic learning files in a flow manner.
Disclosure of Invention
Aiming at the defects of the prior art, the invention discloses an online-offline combined intelligent life research system based on a big data technology, which is used for solving the problem that no proper system exists in the existing adolescent quality education, and can comprehensively support students to learn through autonomous behaviors and form data files. More so, the collective learning behavior of the offline organization, which has problems such as the overall persistence of time/period/course system/content.
The invention is realized by the following technical scheme:
the invention discloses an online-offline combined intelligent life research system based on a big data technology, which comprises a platform management unit for uniformly managing the information of each unit module in the system;
the identity information authentication matching unit is used for the user to perform identity matching between the learning terminals;
the course selection registration list is used for the user to select courses and register on the learning terminal according to specific conditions;
an on-line study unit of study course for the user to study the on-line part of course on the study terminal;
the research point task guiding unit is used for a user to complete the task achievement production by checking characters, voice, pictures or guidance and combining guidance prompt in an on-line scene on a learning terminal;
the task result unit is used for intelligently punching a card and uploading task results through the learning terminal after the task is finished;
after the learning terminal finishes guidance, an achievement test unit for performing achievement test in an online answering mode enters the achievement test unit after the user finishes guidance of the task, the system of the achievement test unit randomly extracts problems from the question bank, and after the user finishes answering test, if the accuracy rate reaches the standard, the task is finished;
the learning incentive unit is used for issuing corresponding star value rewards to the user by the system according to the test result after learning is finished;
a star value mall unit for conducting prize redemption at a star value mall;
and the learning archive unit is used for recording data of all learning processes in a learning archive of the user in the learning terminal and automatically generating comprehensive evaluation according to the learning data.
Further, the platform management unit comprises the following sub-modules:
the course management module is used for managing the intelligent life research course in an increasing, deleting, modifying and checking mode;
the management setting for carrying out addition, deletion, modification and check on the online content and the research points is a research point management module of the course of the inventor;
a research point task management module for managing research points formed by a plurality of tasks;
the question bank management module is used for randomly grouping the system according to the selected course study points when the learning terminal is tested, and analyzing the questions after each question is completed;
the data management module is used for performing visual viewing management on all key data including flow data, transaction data, research course data and the like generated in the system;
a financial management module that manages transaction data generated within the system including a general view of funds, a daily bill, a monthly bill, and the like.
Further, the identity information authentication matching unit comprises the following sub-modules: a user management module for managing the registered users, such as students, course registration, and the like added by the user in the system;
the student management module is used for counting, summarizing and displaying all student data including student basic information, associated user information, school information, information participating in intelligent research courses, electronic learning files and the like in the whole system.
Further, the course selection registration unit includes the following sub-modules:
the 1LBS module automatically recommends the course content which can be learned in the area for the user according to the geographical position of the user after the user logs in the learning terminal;
the age selection module is used for selecting course contents suitable for the age range of the children according to the ages of the children after the user logs in the learning terminal;
and the classification selection module is used for selecting course contents according to the favorite content types of children at home after the user logs in the learning terminal.
Further, the research course on-line learning unit comprises the following sub-modules:
during course learning, according to the arrangement of learning paths, a learning map module for interactive learning from shallow to deep;
when the course is checked, the intelligent AI voice module automatically converts the text content into the voice content according to the selection of the user;
and the online content learning module can learn the online contents contained in the research point, wherein the learnable contents comprise the forms of pictures, texts, videos, audios and the like.
Further, the research point task guide unit comprises the following sub-modules:
after learning the contents of the research point line, automatically prompting a user to complete the research point task, and entering an automatic prompting module for task guidance according to the prompt;
after entering task guidance, a welcome language is played through intelligent AI voice, and whether a user has a guidance module for performing guidance under a research point task is judged;
if the progress before direct continuation continues, the guidance is restarted if the progress before direct continuation does not exist, after the user enters the guidance, the corresponding interactive operation is completed according to the prompt of the system, the operation content is the content for selecting whether the user finishes the guidance prompt, and after the content in the guidance is completely finished, the user can select to enter a final result submission verification module.
Further, the task-achievement unit comprises the following sub-modules:
the system is matched with a multi-code scanning identification or intelligent hardware for verification, so that a user can finish the intelligent card punching module for punching the card at a specific time and place;
the system supports a result uploading module for a user to complete tasks as required in the modes of text uploading, picture uploading, audio recording uploading, video shooting uploading and the like.
Furthermore, the learning incentive unit is provided with an incentive rule setting and issuing module which presets different incentive rules in advance according to different types of tasks under the research points, wherein the incentive rules of the achievement uploading contents are that the achievement is awarded for one star value; sharing the task results to friends, and accumulating and harvesting 50 praises to obtain a second star value; the task achievement automatically identifies the content uploaded by the user through the background system, and comparison is carried out according to preset parameter indexes, and the user can obtain a third star value after the indexes are met.
Further, the star value mall unit includes the following sub-modules:
the star value commodity management module is used for carrying out addition, deletion, modification and check on the exchangeable commodities of the user;
after entering the star value mall module, checking a current commodity list supporting exchange and selecting a star value commodity exchange module for exchange;
the supported commodity types comprise physical commodities and virtual commodities, and if the exchanged commodities are physical commodities, the system delivers goods to the user after address information is provided by the user; and after the virtual commodities are exchanged by the user, the system is directly issued into the corresponding student account of the user.
Further, the learning archive unit comprises the following sub-modules:
the system comprises a data acquisition and storage module, a DPI (deep packet inspection), a service side and a network element side, wherein data of the DPI, the service side and the network element side are sent to a Flume-NG (cloud-network-based service) cluster through a file interface mode, and the Flume-NG gathers received data to a big data analysis platform through a memory data transmission mode in real time in an hdfs (high-frequency) mode, and is used for acquiring and recording all data generated by a user in the course learning process of the smart life research and study, including access time, course purchase time, research point progress, task progress under the research point, reward distribution, resource retrieval data, guidance interaction communication data, task achievement data, achievement evaluation data and resource sharing data;
the data cleaning module is used for cleaning and converting data by compiling an HQL script to form a characteristic wide table, cleaning and fusing the acquired data, analyzing effective data of a mined place from a large amount of data through a preset algorithm, and summarizing and displaying the effective data;
the data mining module is used for carrying out model development, model evaluation and model application by adopting Spark R and calling algorithms such as clustering and classification on the basis of data modeling of the characteristic width table;
and (3) issuing an analysis result, storing a result set of the model application in HBase, firstly creating an HBase table for storing the result set in HBase, generating an HFile file through Map Reduce, and then warehousing the HFile file in a Bulk Load mode, wherein the data is called through HBase API, and the data is displayed through an ECharts technology.
The invention has the beneficial effects that:
the invention can combine the cultural career and the educational career, can utilize the living resources in the area, and finally uses the intelligent life research course system as the support to arouse the personal characteristics of the students and open the interesting skylight for the children. The development of modern research education is promoted by combining a brand new thought with a new technology and breaking the frame of the traditional research. The system integrates an XR technology, a converged communication technology, an AI technology and a big data technology, and is used for combining education and life scenes to enable students to enjoy all-round education. The online learning experience is realized through online learning, online interaction and online assessment; through knowledge expropriation, online learning map, interactive accompanying type learning guidance, star value reward issuing and rights and interests exchange, the learning interest of students is excited, and the interestingness, effectiveness and continuity of learning are realized.
The system scheme provided by the invention supports the development of regional industrial resources into a social classroom through the business mode of intelligent life research, which not only can meet the current situations of insufficient courses and deficient practice of comprehensive practice activities of students, but also can reduce the cost expenditure of practice education, realize regional, social and public education of the practice research education, realize the social quality education course system of the comprehensive development of the moral intelligence and the mercy, and promote the comprehensive development of the students.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a functional framework diagram of the system of the present invention;
FIG. 2 is a flow chart of system-based user usage;
FIG. 3 is a diagram of part A of a system-based research point task guidance trigger flow;
fig. 4 is a diagram of part B of the system-based research point task guidance trigger flow.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. 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.
Example 1
The embodiment discloses a smart life research system that a set of line-on line combines together down based on big data technique, including the platform management unit, is the information of each unit module in the whole system of unified management, has:
a course management module for performing the management of adding, deleting, modifying and checking the smart life research course
The intelligent life research course comprises research points, which comprise on-line audio/video content and research point tasks, and the management module is mainly used for performing management setting of increasing, deleting, modifying and checking on the on-line content and the research points
The research point task management module is characterized in that a research point is formed by tasks, each task comprises a task type of code scanning sign-in, automatic identification of internet of things, voice identification, audio/video uploading, image-text uploading and answer test.
The question bank management module is used for setting up a corresponding matched question bank in the answer test type task in the study point task, and the user randomly performs the test according to the selected course study point when testing is performed at the learning terminal and analyzes the question after each question is completed.
The data management module is used for visually checking and managing all key data generated in the system, including flow data, transaction data, research course data and the like
A financial management module that manages transaction data generated within the system, including a general funding profile, a daily bill, a monthly bill, and the like.
And the identity information authentication matching unit is used for matching the identity of the user between the learning terminals.
The embodiment includes a user management module, which manages the registered users (parents of students) in the system, including the data of the relevant students, course registration, etc. added by the users
The student management module is a management module for counting, summarizing and displaying all student data in the whole system and comprises student basic information, associated user information, school information, information of courses participating in intelligent research and electronic learning files;
the embodiment comprises a course selection and registration unit, a course selection and registration unit and a course selection and registration unit, wherein the course selection and registration unit is used for selecting and registering courses on a learning terminal by a user according to conditions such as cities, ages, interests and hobbies;
and the LBS (location based service) module automatically recommends the course contents which can be learned in the area for the user according to the geographical position of the user after the user logs in the learning terminal. In addition, the user can independently switch the cities, and check and register courses of other cities in advance.
The age selection module can select course contents suitable for the age of the children according to the ages of the children after the user logs in the learning terminal
The classification selection module can select course contents according to the favorite content types of children after a user logs in the learning terminal
The embodiment comprises a study course online learning unit, a learning terminal and a learning module, wherein the study course online learning unit is used for a user to learn the online part of a course on the learning terminal, and supports the learning modes of audio/video, intelligent AI voice, image and text and the like;
the learning map module is used for enabling each course of the intelligent life research in the system to have an independent learning map path, the learning path is the systematized display of the content of the whole course, and a user can carry out interactive learning from shallow to deep according to the arrangement of the learning path during course learning.
The intelligent AI voice module can automatically convert the text content into the voice content according to the selection of the user when the user checks the course,
and the online content learning module is used for learning online contents contained in the research points by a user in the research points. The learnable contents are in the forms of graphics, text, video, audio and the like.
The embodiment comprises a research point task guiding unit, a task result processing unit and a task result processing unit, wherein the research point task guiding unit is used for finishing the manufacture of task results by a user on a learning terminal through the guidance of checking characters, voice and pictures and combining a guiding prompt in an online scene;
and the automatic prompting module is used for automatically prompting the user to complete the research point task after the user learns the contents on the research point line, and the user enters task guidance according to the prompt.
And after the user enters the task guidance, the system plays the welcome language through the intelligent AI voice, simultaneously judges whether the user has ongoing guidance under the research point task, continues the progress before the direct continuation if the user has the ongoing guidance, and restarts to enter the guidance if the user does not have the ongoing guidance. After the user enters the guidance, corresponding interactive operation needs to be completed according to the prompt of the system, and the operation content is the content for selecting whether the user has completed the guidance prompt. When all of the content in the lead is complete, the user may choose to enter the final outcome submission validation module.
The embodiment comprises a task result unit, wherein after a user finishes a task, the user can submit the task result in the modes of pictures, characters, voice, video and the like through a learning terminal;
the intelligent card punching module enables a user to complete card punching at a specific time and place in a multi-code scanning identification or intelligent hardware matching verification mode, and the completion of a task is indicated when the card punching is successful.
And the result uploading module is used for supporting a user to complete tasks as required in the modes of text uploading, picture uploading, audio recording uploading, video shooting uploading and the like.
The embodiment comprises an achievement test unit, wherein after a user finishes guidance at a learning terminal, the achievement test can be carried out in an on-line answering mode; the system presets the task question bank in advance, after the user finishes the task guidance, the user enters a result testing unit, the system randomly extracts the problems from the question bank in the result testing unit, and after the user finishes the answer test, if the accuracy reaches the standard, the task is finished.
The system comprises a learning incentive unit, a learning unit and a learning unit, wherein the system gives corresponding star value rewards to a user according to a test result after the user finishes learning;
the reward rule setting and issuing module is used for presetting different reward rules in advance according to different types of tasks under research points, wherein the reward rule of the result uploading type content is that the result is rewarded by one star value; sharing the task results to friends, and accumulating and harvesting 50 praises to obtain a second star value; the task achievement automatically identifies the content uploaded by the user through the background system, and comparison is carried out according to preset parameter indexes, and the user can obtain a third star value after the indexes are met.
The method comprises a star value mall unit, wherein the star value reward acquired by a user can be exchanged in the star value mall;
the star value commodity management module is mainly used for carrying out addition, deletion, modification and check on commodities which can be exchanged by a user, and currently, the supported commodity types include physical commodities, namely actual commodity rewards can be obtained after the commodities are exchanged by the user; virtual tired goods including course, learning card, coupon, etc.
The star value commodity exchange module is mainly used for checking a current commodity list supporting exchange and selecting exchange after a user enters the star value mall module. If the exchanged commodities are physical commodities, the system delivers the commodities to the user after the user provides address information. And after the virtual commodities are exchanged by the user, the system is directly issued into the corresponding student account of the user.
The embodiment comprises a learning file unit, wherein all data of the learning process are recorded in the learning file of the user in the learning terminal, and the system automatically generates the comprehensive evaluation according to the learning data.
The data acquisition and storage module: the DPI, the service side and the network element side data are sent to the flash-NG cluster in a file interface mode, and the flash-NG gathers the received data to the big data analysis platform in real time in an hdfs mode through a memory data transmission mode. The system is used for acquiring and recording all data generated by a user in the course of learning and studying of the smart life research and study courses, including access time, course purchase time, research point progress, task progress under the research points, reward distribution, resource retrieval data, guidance interaction communication data, task result data, result evaluation data, resource sharing data and the like
A data cleaning module: cleaning and converting data by writing an HQL script to form a wide characteristic table, cleaning and fusing the acquired data, analyzing effective data of a mined place from a large amount of data through a preset algorithm, summarizing and displaying.
A data mining module: and (3) adopting Spark R for data modeling based on the wide characteristic table, calling algorithms such as clustering and classification, and carrying out model development, model evaluation and model application.
And (4) issuing an analysis result: the result set of the model application is stored in HBase, an HBase table for storing the result set is required to be newly built in HBase at first, an HFile file is generated through Map Reduce, and then the HFile file is stored in a Bulk Load mode. The calling of the data is realized through HBase API, and the showing of the data is realized through ECharts technology.
Example 2
This example discloses an academic dynamic operation system, and referring to fig. 1, an example of a system architecture diagram including the academic dynamic operation system according to the present embodiment is shown. The system comprises equipment such as a running server, a CDN audio and video server, a PC (personal computer) computer, an Android system smart phone and an IOS system smart phone, and service support. In addition, in the embodiment, the independent management background provided for the platform management unit is opened and used based on the WEB browser. In order for the user (student parent) to access and use the system, the system is further provided with a user terminal service (APP).
The management server, the user terminal App and the platform management background are connected through a communication network.
The management core of the system is a platform management background, and the account number of the user side APP is registered and logged in by the user through the combination of a mobile phone number and verification code verification. In addition, the platform management background has the monitoring and management rights for accounts of other ports.
The hardware layers in the system mainly include: the system operation server supports access operation of each management terminal and each user terminal, the CDN video server supports push-pull stream uplink uploading and downlink playing of audio and video files in the system, and the file server mainly stores contents such as real-time dynamic video files and image files generated in the course process in the system. In addition, the system also integrates a PUSH pushing system, an IM instant chat system, an intelligent AI voice, an XR technology, a converged communication technology, a big data technology and the like so as to better provide services for the user.
The system server also has a database and user information, student information, course information, etc. within the system. After the intelligent life research course contents are published, the system can establish the association between the user ID and the student ID and the main object publishing the course for recording according to different course types. The database may be managed by a computer different from the management server.
The user ID is identification information inherent to each user, and the user confidence is mainly based on a trainee associated with the user and a related order generated by the user. By adding associated trainees
The student ID is identification information unique to each student, and the student research record is core data including student information: name, sex, identification card number, course study record, result record, archive data, etc. The student association account refers to how many users (parents of students) the student is currently associated with: including the nickname, cell phone number, and student's relationship of the associated user. The comprehensive evaluation file is comprehensive evaluation of intelligent life research. The contents have corresponding course lists, which can check course titles, course numbers, course time, course research point states, task states in research points, task guide progress, course order prices, payment time, payment methods and payment channels (iOS/android/H5).
Each block of the smart life research system shown in fig. 1 corresponds to a subsystem supported by the management server, and the flowchart below fig. 1 is executed. Each function is realized by executing a program of steps shown in a flowchart below in fig. 1 by a computer and a mobile smart phone having a general hardware configuration shown in the drawings.
The management server has a general computer configuration, and executes various functions represented by the flow shown in fig. 1 and later by executing a program loaded from a memory (storage) into a content (memory) by a CPU. Therefore, the background management system in fig. 1 is realized, information is input and output through a user interface comprising a keyboard, a display and the like, and the background management system is communicated with a network through a communication part and generates data interaction with a user terminal App.
Example 3
In fig. 1, the research course management subsystem is used for comprehensive management of courses, including addition, shelving, recommendation, and the like of courses. The subsystem is a core highlight and invention of an ecological operation system, and needs to be protected in an invention patent in an important way.
The intelligent life research course is the course content created by the platform and designed for students in different areas, different age groups and different preferences. The course content is designed in an online and offline combined mode, so that the cultural cause and the educational cause can be combined, the living resources in the area can be utilized, and finally, an intelligent life and research course system is used as a support to arouse the personal characteristics of students and open a skylight for children. The development of modern research education is promoted by combining a brand new thought with a new technology and breaking the frame of the traditional research. The system integrates an XR technology, a converged communication technology, an AI technology and a big data technology, and is used for combining education and life scenes to enable students to enjoy all-round education. The online learning experience is realized through online learning, online interaction and online assessment; through knowledge expropriation, online learning map, interactive accompanying type learning guidance, star value reward issuing and rights and interests exchange, the learning interest of students is excited, the interesting, effective and continuous learning is realized, industries related to daily life are used as connection points, and users can learn the life type knowledge in practice in a game mode. The intelligent living regional research course is composed of research points, each research point is internally provided with a plurality of research practice tasks of different forms, and each task is provided with real-time accompanying type guiding interaction to guide students to complete the task; different research practice points are constructed in different counties and districts of each city, thousands of research education points are developed and constructed in each city, learning and living are effectively enriched, and a large social practice classroom is effectively constructed.
The user can check the course information in the App and can try on partial study points. In addition, the user can complete the purchase of courses in the App through online payment and learning card payment.
After the user installs the App on the terminal, the user can enjoy the service provided by the App. The course delivery object provided in the system is a student, so that the core function of the system can be used only after the user installs App and subsequently adds the student. As shown in fig. 2, there are two ways to add a student, and when the student does not exist in the system, a student can be added again by perfecting the student information; additions may be made by searching for the trainee when the trainee already exists in the system.
Example 4
The embodiment discloses that the user adds a student (App end), when the user searches and adds the student in App, firstly the system inquires in a system database according to the student input by the user, when the student exists, the student information is displayed, the information comprises the first 14 digits of name and identity number, the user needs to complement the student identity number information and then can successfully add the student, the information privacy of the student is protected, and the user is prevented from adding the student irrelevant to the user.
When the trainee information does not exist, the user is prompted that the trainee does not exist.
When a user newly adds a student in the App, the student information needs to be perfected, wherein the information comprises name, gender, identity card number and the like, each student has uniqueness in the system, and each student has a corresponding unique ID. Within the system, any information related to the ID student (course itinerary, course assignment, course achievements, course comprehensive evaluation, etc.) is recorded within the student profile.
Example 5
The embodiment discloses that a user purchases a course (App end), and as shown in fig. 3 and 4, after the user adds a student in App, the user can purchase the course in App. The user may see different course content depending on the city selected. In the visible course of the city, the user screens the course in a keyword search and condition screening mode. Within the course details page, the user may select a purchase of the course.
When the course is purchased, an order is generated according to the information of the user account, the student information, the information of the purchased course, the price of the course, the payment mode and the like. When the payment mode selected by the user is online payment, the payment mode is technically connected with a third-party online payment system (WeChat and Paibao), and after the user finishes payment, the system receives a payment callback parameter returned by the Paibao so as to verify whether the user successfully pays.
When the payment mode selected by the user is the learning card payment, the system checks whether the student has the bound available learning card, when the student does not have the learning card, the student can not select to use the learning card for payment, and when the learning card is available, the activation times of the learning card are directly deducted.
Example 6
In this embodiment, course delivery is disclosed, as shown in fig. 3 and 4, after a user purchases a research course for a student, the user enters a course delivery link, which is a core highlight function of an intelligent life research dynamic operation system and is also a key point and a place to be protected in the patent of this invention.
The intelligent life research course delivery comprises three parts: on-line learning, on-line and off-line combined task guidance interaction and on-line task achievement submission;
the on-line learning stage is from the purchasing of research course to the completion of the task of research point
And in the on-line learning stage, the class-ahead learning of the student is taken as a main part, and when the system creates a course, the contents needing the student to learn in advance are input in the management background, wherein the contents comprise character introduction information, audio information and video information. And the audio information and the video information are transmitted to the CDN audio and video server through the network and recorded. When a student purchases a course, the student can firstly learn the online content through the App at the user end, and data pull streaming is carried out from the audio and video server through the data request of the App end. After the student finishes the content learning, the system transmits the learning record to the server for storage and recording through the data interface and the network. The record is associated with the student ID and is recorded in the student electronic file.
The online learning is completed and before the task achievement is uploaded, the online and offline combined task guidance interaction stage is implemented, and the task guidance interaction stage is mainly implemented by continuously advancing the process of finally completing guidance and output of the task achievement by prompting interactive guidance contents provided by a student in the process of completing the research point task. The process comprises guidance prompt interaction, class classmate help groups, task process mnemonic and task guide.
When a course is created, the platform background inputs research point information under the course in the management background, wherein the research point information comprises a title, an icon, an audio and video content attachment of a research point, a research point introduction, task setting under the research point and the like;
when the platform sets a research point task, the following task types, intelligent card punching, result uploading and result testing can be set.
When the platform sets the task guidance, interaction options matched with guidance contents and guidance are set, and different prompts are fed back to a user by different selection systems after the user sees the guidance, so that the user is guided to finally finish the output of results.
And in the stage of uploading task results after the task guidance interaction is finished, the platform can set the following task types, intelligent card punching, result uploading and result testing when setting the research point task.
In summary, the invention combines the traditional off-line research business and the actual life scene through combing the related research business and analyzing the actual business scene, combining the technology research and development and the code realization, and displaying and circulating on line through a software system.
The method is characterized in that a life scene is taken as a classroom experience form, knowledge and reality are fused, an experience type teaching method is adopted, the technologies in the aspects of mobile internet and big data are combined, an online and offline fused experience type and game generation and activation intelligent life research system is constructed, and students are served to develop healthily and grow comprehensively.
The system takes the life industry aspects as an entry cut, transfers social education resources to become course experience scenes, follows the education development law, and sets a rich course system which is signed on the combination of the knowledge framework and the life scenes to arouse and transfer the personal characteristics of students and open interesting skylights for children.
The novel teaching demonstration teaching aid combines a novel technology with a brand-new idea, breaks the frame of the traditional research, promotes the development of modern research education, enables students to independently select favorite courses, and can finish practice experience learning at any time and any place by one person.
The online learning experience is realized through online learning, online interaction and online assessment; through knowledge expropriation, online learning map, interactive accompanying type learning guidance, star value reward issuing and rights and interests exchange, the learning interest of students is excited, and the interestingness, effectiveness and continuity of learning are realized.
The intelligent life research system supports the development of industrial resources in the area into a social classroom, which can meet the current situations of insufficient courses and deficient practice of comprehensive practice activities of students, and can reduce the cost of practice education, and realize regionalization, socialization and public welfare.
The invention forms the student electronic file by taking the collection, statistics and analysis technology of big data as data support, forms the comprehensive practice evaluation by taking the course as the unit by an algorithm on the basis of all data generated when the student takes the course in the file, and automatically calculates and outputs the comprehensive evaluation grade of the student under the course by taking the course type as the division.
Compared with the existing system, the system scheme provided by the invention supports the development of industrial resources in the area into a social classroom through the business mode of intelligent life research, so that the current situations of insufficient courses and deficient practice of comprehensive practice activities of students can be met, the cost expenditure of practice education can be reduced, the social quality education course system of the regional, social and public development of the German intelligence, the body and the beauty can be realized, and the comprehensive development of the students can be promoted.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An online-offline combined intelligent life research system based on big data technology is characterized by comprising a platform management unit for uniformly managing the information of each unit module in the system;
the identity information authentication matching unit is used for the user to perform identity matching between the learning terminals;
the course selection registration list is used for the user to select courses and register on the learning terminal according to specific conditions;
an on-line study unit of study course for the user to study the on-line part of course on the study terminal;
the research point task guiding unit is used for a user to complete the task achievement production by checking characters, voice, pictures or guidance and combining guidance prompt in an on-line scene on a learning terminal;
the task result unit is used for intelligently punching a card and uploading task results through the learning terminal after the task is finished;
after the learning terminal finishes guidance, an achievement test unit for performing achievement test in an online answering mode enters the achievement test unit after the user finishes guidance of the task, the system of the achievement test unit randomly extracts problems from the question bank, and after the user finishes answering test, if the accuracy rate reaches the standard, the task is finished;
the learning incentive unit is used for issuing corresponding star value rewards to the user by the system according to the test result after learning is finished;
a star value mall unit for conducting prize redemption at a star value mall;
and the learning archive unit is used for recording data of all learning processes in a learning archive of the user in the learning terminal and automatically generating comprehensive evaluation according to the learning data.
2. The big data technology-based online-offline combined intelligent life research system according to claim 1, wherein the platform management unit comprises the following sub-modules:
the course management module is used for managing the intelligent life research course in an increasing, deleting, modifying and checking mode;
the management setting for carrying out addition, deletion, modification and check on the online content and the research points is a research point management module of the course of the inventor;
a research point task management module for managing research points formed by a plurality of tasks;
the question bank management module is used for randomly grouping the system according to the selected course study points when the learning terminal is tested, and analyzing the questions after each question is completed;
the data management module is used for performing visual viewing management on all key data including flow data, transaction data, research course data and the like generated in the system;
a financial management module that manages transaction data generated within the system including a general view of funds, a daily bill, a monthly bill, and the like.
3. The big data technology-based online-offline combined intelligent life research system as claimed in claim 1, wherein said identity information authentication matching unit comprises the following sub-modules: a user management module for managing the registered users, such as students, course registration, and the like added by the user in the system;
the student management module is used for counting, summarizing and displaying all student data including student basic information, associated user information, school information, information participating in intelligent research courses, electronic learning files and the like in the whole system.
4. The big data technology-based online-offline combined intelligent life research system as claimed in claim 1, wherein said course selection registration unit comprises the following sub-modules:
the 1LBS module automatically recommends the course content which can be learned in the area for the user according to the geographical position of the user after the user logs in the learning terminal;
the age selection module is used for selecting course contents suitable for the age range of the children according to the ages of the children after the user logs in the learning terminal;
and the classification selection module is used for selecting course contents according to the favorite content types of children at home after the user logs in the learning terminal.
5. The big data technology-based online-offline combined intelligent life research system according to claim 1, wherein said research course online learning unit comprises the following sub-modules:
during course learning, according to the arrangement of learning paths, a learning map module for interactive learning from shallow to deep;
when the course is checked, the intelligent AI voice module automatically converts the text content into the voice content according to the selection of the user;
and the online content learning module can learn the online contents contained in the research point, wherein the learnable contents comprise the forms of pictures, texts, videos, audios and the like.
6. The big data technology-based online-offline combined intelligent life research system according to claim 1, wherein the research point task guidance unit comprises the following sub-modules:
after learning the contents of the research point line, automatically prompting a user to complete the research point task, and entering an automatic prompting module for task guidance according to the prompt;
after entering task guidance, a welcome language is played through intelligent AI voice, and whether a user has a guidance module for performing guidance under a research point task is judged;
if the progress before direct continuation continues, the guidance is restarted if the progress before direct continuation does not exist, after the user enters the guidance, the corresponding interactive operation is completed according to the prompt of the system, the operation content is the content for selecting whether the user finishes the guidance prompt, and after the content in the guidance is completely finished, the user can select to enter a final result submission verification module.
7. The big data technology-based online-offline combined intelligent life research system according to claim 1, wherein the task achievement unit comprises the following sub-modules:
the system is matched with a multi-code scanning identification or intelligent hardware for verification, so that a user can finish the intelligent card punching module for punching the card at a specific time and place;
the system supports a result uploading module for a user to complete tasks as required in the modes of text uploading, picture uploading, audio recording uploading, video shooting uploading and the like.
8. The big data technology-based online-offline combined intelligent life research system as claimed in claim 1, wherein the learning incentive unit is provided with a reward rule setting and issuing module for presetting different reward rules in advance according to different types of tasks under research points, wherein the reward rule of the result uploading content is that the result is awarded one star value; sharing the task results to friends, and accumulating and harvesting 50 praises to obtain a second star value; the task achievement automatically identifies the content uploaded by the user through the background system, and comparison is carried out according to preset parameter indexes, and the user can obtain a third star value after the indexes are met.
9. The big data technology-based online-offline combined intelligent life research system according to claim 1, wherein said star value mall unit comprises the following sub-modules:
the star value commodity management module is used for carrying out addition, deletion, modification and check on the exchangeable commodities of the user;
after entering the star value mall module, checking a current commodity list supporting exchange and selecting a star value commodity exchange module for exchange;
the supported commodity types comprise physical commodities and virtual commodities, and if the exchanged commodities are physical commodities, the system delivers goods to the user after address information is provided by the user; and after the virtual commodities are exchanged by the user, the system is directly issued into the corresponding student account of the user.
10. The big data technology-based online-offline combined intelligent life research system as claimed in claim 1, wherein said learning file unit comprises the following sub-modules:
the system comprises a data acquisition and storage module, a DPI (deep packet inspection), a service side and a network element side, wherein data of the DPI, the service side and the network element side are sent to a Flume-NG (cloud-network-based service) cluster through a file interface mode, and the Flume-NG gathers received data to a big data analysis platform through a memory data transmission mode in real time in an hdfs (high-frequency) mode, and is used for acquiring and recording all data generated by a user in the course learning process of the smart life research and study, including access time, course purchase time, research point progress, task progress under the research point, reward distribution, resource retrieval data, guidance interaction communication data, task achievement data, achievement evaluation data and resource sharing data;
the data cleaning module is used for cleaning and converting data by compiling an HQL script to form a characteristic wide table, cleaning and fusing the acquired data, analyzing effective data of a mined place from a large amount of data through a preset algorithm, and summarizing and displaying the effective data;
the data mining module is used for carrying out model development, model evaluation and model application by adopting Spark R and calling algorithms such as clustering and classification on the basis of data modeling of the characteristic width table;
and (3) issuing an analysis result, storing a result set of the model application in HBase, firstly creating an HBase table for storing the result set in HBase, generating an HFile file through Map Reduce, and then warehousing the HFile file in a Bulk Load mode, wherein the data is called through HBase API, and the data is displayed through an ECharts technology.
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