CN110008290A - A kind of wisdomization teaching result acquisition methods based on artificial intelligence - Google Patents

A kind of wisdomization teaching result acquisition methods based on artificial intelligence Download PDF

Info

Publication number
CN110008290A
CN110008290A CN201910251301.4A CN201910251301A CN110008290A CN 110008290 A CN110008290 A CN 110008290A CN 201910251301 A CN201910251301 A CN 201910251301A CN 110008290 A CN110008290 A CN 110008290A
Authority
CN
China
Prior art keywords
data
database
acquisition methods
wisdomization
teaching
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910251301.4A
Other languages
Chinese (zh)
Inventor
杨茂保
董西伟
张艳军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiujiang University
Original Assignee
Jiujiang University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jiujiang University filed Critical Jiujiang University
Priority to CN201910251301.4A priority Critical patent/CN110008290A/en
Publication of CN110008290A publication Critical patent/CN110008290A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • G06F16/285Clustering or classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance

Abstract

The wisdomization that the invention discloses a kind of based on artificial intelligence is imparted knowledge to students result acquisition methods, the acquisition methods are the following steps are included: use server, first database is set based on the type of school, and the classification processing inside first database is carried out according to the type of school;Teaching data is uploaded, teaching data is divided according to the actual situation, obtains the second database;First user registers, and inputs the first user data, obtains first object data.The present invention is that first database is arranged as unit of school, the setting of type is carried out to the classification of first database, it is used and is divided by uploading to the teaching data of school in first database, establish first object data and the second target data, it is screened by study situation of the first object data to the second target data, obtain teaching as a result, meet different types of school carry out using, improve the artificial intelligence wisdomization teaching result acquisition methods applicability.

Description

A kind of wisdomization teaching result acquisition methods based on artificial intelligence
Technical field
The present invention relates to data screening related fieldss more particularly to a kind of wisdomization teaching result based on artificial intelligence to obtain Take method.
Background technique
Currently, multimedia teaching refers in teaching process, the characteristics of according to instructional objective and teaching object, pass through teaching Design, reasonably select and use Modern Teaching Medium, and with Traditional teaching means organic assembling, participate in whole course of teaching jointly, With media information function in student, reasonable teaching process structure, the teaching efficiency for being optimal, multimedia meter are formed Calculation machine aided education refers to using multimedia computer, integrated treatment and control symbol, language, text, sound, figure, image, Multimedia each element is pressed teaching request by the medias information such as image, is carried out organic assembling and is passed through screen or projection Machine Projection Display comes out, at the same as needed plus sound cooperation and user and computer between man-machine interactive operation, Complete teaching or training process.
The wisdomization teaching result acquisition methods of present artificial intelligence are all to establish data by the teaching data of school Library is different without the teaching data of same school, so the wisdomization teaching result acquisition methods of present artificial intelligence are to be based on The difference of each types of schools carries out individually designed, has certain limitation, cannot be suitble to all schools carry out using.
The result acquisition methods for this purpose, the wisdomization that we have proposed a kind of based on artificial intelligence is imparted knowledge to students.
Summary of the invention
The wisdomization that the purpose of the present invention is to provide a kind of based on artificial intelligence is imparted knowledge to students result acquisition methods, on solving State the problem of proposing in background technique.
To achieve the goals above, present invention employs following technical solutions:
A kind of wisdomization based on artificial intelligence is imparted knowledge to students result acquisition methods, the acquisition methods the following steps are included:
S1: being used server, be arranged first database based on the type of school, and carries out the according to the type of school The classification processing of one data store internal;
S2: teaching data is uploaded, teaching data is divided according to the actual situation, obtains the second database;
S3: the first user registers, and inputs the first user data, obtains first object data;
S4: first object data divide and weighting is handled, obtain the first result data;
S5: the first result data is screened and is updated to the second database, and third database is obtained;
S6: second user is registered, and is inputted second user data, is obtained the second target data;
S7: the second target data divide and weighting is handled, obtains the second result data;
S8: first object data are screened and are handled to the second target data, obtain teaching result.
Preferably, in the S1 classification processing include grade divide and shift divide or be other classifying and dividing, grade divide, Profession divides and shift divides.
Preferably, the third database in the S5 is that the second database is realized by subject division.
Preferably, the user of the first object data includes teacher, leader or collective.
Preferably, the first object data are according to grade classification, and higher grade, and permission is more.
Preferably, the user of second target data includes student.
Preferably, the first object data weighting processing includes the right for uploading data, checks the second target data Right, the right that is increased and decreased by the right of update and is modified to the data of the second target data for the second target data quantity Etc..
Compared with prior art, the beneficial effects of the present invention are:
The present invention is that first database is arranged as unit of school, and the setting of type is carried out to the classification of first database, It is used and is divided by uploading to the teaching data of school in first database, establish first object data and the second mesh Data are marked, are screened by study situation of the first object data to the second target data, obtain teaching as a result, meeting different The school of type carry out using, improve the artificial intelligence wisdomization teaching result acquisition methods applicability.
Detailed description of the invention
Fig. 1 is a kind of flow chart of wisdomization teaching result acquisition methods based on artificial intelligence proposed by the present invention.
Specific embodiment
Combined with specific embodiments below the present invention is made further to explain.
Embodiment one
The wisdomization that the invention also provides a kind of based on artificial intelligence is imparted knowledge to students result acquisition methods, comprising the following steps:
S1: when primary school, middle school and senior middle school impart knowledge to students result acquisition methods using the wisdomization of artificial intelligence, service is used First database is arranged based on the type of school, and carries out the classification inside first database according to the type of school for device Processing, classification processing include that grade divides and shift division;
S2: teaching data is uploaded, teaching data is divided according to the actual situation, obtains the second database;
S3: the first user registers, and inputs the first user data, obtains first object data, the first object number According to user include teacher, leader or collective;
S4: first object data divide and weighting is handled, obtain the first result data, first object data weighting Processing includes the right for uploading data, the right for checking the second target data, is increased and decreased update to the second target data quantity Right and right etc. that the data of the second target data are modified, first object data are according to grade classification, grade Higher permission is more, for example the account permission of form master is more than the account permission of teacher;
S5: the first result data is screened and is updated to the second database, and third database is obtained, and third database is Second database is divided by subject and is realized;
S6: second user is registered, and is inputted second user data, is obtained the second target data, the second target data User includes student;
S7: the second target data divide and weighting is handled, obtains the second result data;
S8: first object data are screened and are handled to the second target data, obtain teaching result.
Server is set according to the type of school, keeps the teaching platform in server applicable and primary school, secondary and high school, so The teacher with leader of school carry out register account number afterwards, and these accounts are arranged with certain permission, at the same can also with grade or An account is arranged in person school, and convenient for being increased and decreased to the data inside first database, teacher can upload instructional video just It logins teaching platform by mutual connection in student to learn, while teacher checks student's on teaching platform at any time Learn situation, and scheme of preparing lessons is adjusted according to the study situation of student.
Embodiment two
The wisdomization that the invention also provides a kind of based on artificial intelligence is imparted knowledge to students result acquisition methods, comprising the following steps:
S1: when institution of higher learning are using the wisdomization teaching result acquisition methods of the artificial intelligence, using server, with school Type based on first database is set, and the classification processing inside first database, classification are carried out according to the type of school Processing is including being that other classifying and dividing, grade's division, profession division and shift divide;
S2: teaching data is uploaded, teaching data is divided according to the actual situation, obtains the second database;
S3: the first user registers, and inputs the first user data, obtains first object data, the first object number According to user include teacher, leader or collective;
S4: first object data divide and weighting is handled, obtain the first result data, first object data weighting Processing includes the right for uploading data, the right for checking the second target data, is increased and decreased update to the second target data quantity Right and right etc. that the data of the second target data are modified, first object data are according to grade classification, grade Higher permission is more, for example the account permission of form master is more than the account permission of teacher;
S5: the first result data is screened and is updated to the second database, and third database is obtained, and third database is Second database is divided by subject and is realized;
S6: second user is registered, and is inputted second user data, is obtained the second target data, the second target data User includes student;
S7: the second target data divide and weighting is handled, obtains the second result data;
S8: first object data are screened and are handled to the second target data, obtain teaching result.
Server is set according to the type of school, so that the teaching platform in server is suitable for institution of higher learning, then school Teacher and leader carry out register account number, and these accounts are arranged with certain permission, at the same can also be not, grade or An account is arranged in school, and rank is higher, and permission is also higher, convenient for being increased and decreased to the data inside first database, always Teacher can upload instructional video and login teaching platform convenient for student by mutual connection and learn, while teacher exists at any time The study situation of student is checked on teaching platform, and scheme of preparing lessons is adjusted according to the study situation of student.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto, Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.

Claims (7)

  1. The result acquisition methods 1. a kind of wisdomization based on artificial intelligence is imparted knowledge to students, which is characterized in that the acquisition methods include with Lower step:
    S1: using server, first database is arranged based on the type of school, and carry out the first number according to the type of school According to the classification processing inside library;
    S2: teaching data is uploaded, teaching data is divided according to the actual situation, obtains the second database;
    S3: the first user registers, and inputs the first user data, obtains first object data;
    S4: first object data divide and weighting is handled, obtain the first result data;
    S5: the first result data is screened and is updated to the second database, and third database is obtained;
    S6: second user is registered, and is inputted second user data, is obtained the second target data;
    S7: the second target data divide and weighting is handled, obtains the second result data;
    S8: first object data are screened and are handled to the second target data, obtain teaching result.
  2. The result acquisition methods 2. a kind of wisdomization based on artificial intelligence according to claim 1 is imparted knowledge to students, which is characterized in that Classification processing includes grade's division and shift division or is other classifying and dividing, grade's division, profession division and shift in the S1 It divides.
  3. The result acquisition methods 3. a kind of wisdomization based on artificial intelligence according to claim 1 is imparted knowledge to students, which is characterized in that Third database in the S5 is that the second database is realized by subject division.
  4. The result acquisition methods 4. a kind of wisdomization based on artificial intelligence according to claim 1 is imparted knowledge to students, which is characterized in that The user of the first object data includes teacher, leader or collective.
  5. The result acquisition methods 5. a kind of wisdomization based on artificial intelligence according to claim 1 is imparted knowledge to students, which is characterized in that The first object data are according to grade classification, and higher grade, and permission is more.
  6. The result acquisition methods 6. a kind of wisdomization based on artificial intelligence according to claim 1 is imparted knowledge to students, which is characterized in that The user of second target data includes student.
  7. The result acquisition methods 7. a kind of wisdomization based on artificial intelligence according to claim 1 is imparted knowledge to students, which is characterized in that The first object data weighting processing includes the right for uploading data, the right for checking the second target data, to the second target The right etc. that data bulk is increased and decreased the right of update and is modified to the data of the second target data.
CN201910251301.4A 2019-03-29 2019-03-29 A kind of wisdomization teaching result acquisition methods based on artificial intelligence Pending CN110008290A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910251301.4A CN110008290A (en) 2019-03-29 2019-03-29 A kind of wisdomization teaching result acquisition methods based on artificial intelligence

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910251301.4A CN110008290A (en) 2019-03-29 2019-03-29 A kind of wisdomization teaching result acquisition methods based on artificial intelligence

Publications (1)

Publication Number Publication Date
CN110008290A true CN110008290A (en) 2019-07-12

Family

ID=67169049

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910251301.4A Pending CN110008290A (en) 2019-03-29 2019-03-29 A kind of wisdomization teaching result acquisition methods based on artificial intelligence

Country Status (1)

Country Link
CN (1) CN110008290A (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090106179A1 (en) * 2007-10-18 2009-04-23 Friedlander Robert R System and method for the longitudinal analysis of education outcomes using cohort life cycles, cluster analytics-based cohort analysis, and probablistic data schemas
CN104346679A (en) * 2013-08-07 2015-02-11 郑州学生宝电子科技有限公司 Intelligent school affair management system based on digital information technology
CN107862474A (en) * 2017-12-01 2018-03-30 广州摩翼信息科技有限公司 Intelligent teaching platform management method and system
CN107862088A (en) * 2017-12-01 2018-03-30 广州摩翼信息科技有限公司 Wisdomization teaching result acquisition methods and system based on artificial intelligence

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090106179A1 (en) * 2007-10-18 2009-04-23 Friedlander Robert R System and method for the longitudinal analysis of education outcomes using cohort life cycles, cluster analytics-based cohort analysis, and probablistic data schemas
CN104346679A (en) * 2013-08-07 2015-02-11 郑州学生宝电子科技有限公司 Intelligent school affair management system based on digital information technology
CN107862474A (en) * 2017-12-01 2018-03-30 广州摩翼信息科技有限公司 Intelligent teaching platform management method and system
CN107862088A (en) * 2017-12-01 2018-03-30 广州摩翼信息科技有限公司 Wisdomization teaching result acquisition methods and system based on artificial intelligence

Similar Documents

Publication Publication Date Title
Di Natale et al. Immersive virtual reality in K‐12 and higher education: A 10‐year systematic review of empirical research
Hu et al. An investigation of preservice early childhood teachers’ adoption of ICT in a teaching practicum context in Hong Kong
Joo et al. Promoting distance learners’ cognitive engagement and learning outcomes: Design-based research in the Costa Rican National University of Distance Education
Tang Person-centered analysis of self-regulated learner profiles in MOOCs: A cultural perspective
Vongkulluksn et al. Growth mindset development in design-based makerspace: A longitudinal study
Davis et al. A cultural computing curriculum
Al Harbi An examination of Saudi high school teachers' ICT knowledge and implementation
Brass Reconstituting teacher education: Literacy, critical theories, and English
Wang et al. The effects of visualization format and spatial ability on learning star motions
Lynda et al. Peer assessment in MOOCs based on learners' profiles clustering
Ayub et al. An exploratory study of a framework for designing and developing a massive online course as smart future classroom in VLE
Katz et al. Information literacy in digital environments: Construct mediation, construct modeling, and validation processes
Atan et al. Students’ performance and perceptions towards authentic learning environment based on visual thinking continuum
Colakoglu Integration of transdisciplinary STEM approach to single discipline-based national education systems
CN110008290A (en) A kind of wisdomization teaching result acquisition methods based on artificial intelligence
Jokiaho et al. Obstacles to Using ELearning in an Advanced Way
Keiper et al. Developing and sustaining online and distance education programs in health and kinesiology
Hjellvik et al. Integrating motivated goal achievement in maritime simulator training
Leathrum et al. A new M&S engineering program with a base in computer engineering
Gunawan et al. E-Learning course design and implementation in fuzzy logic
Sabahi et al. Evaluation and ranking of factors affecting the quality of students' online learning during the Corona disease days
Kia et al. Learning dashboard: Bringing student background and performance online
Alsaif Cultural Values that Impact Blended Learning Acceptance and Effectiveness
Jolly Film literacy
Jessani Review of Enhancing primary science teaching through school-based mentors: A study from Pakistan

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20190712

WD01 Invention patent application deemed withdrawn after publication