WO2023131361A3 - Big-data-based teaching planning method and system - Google Patents

Big-data-based teaching planning method and system Download PDF

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Publication number
WO2023131361A3
WO2023131361A3 PCT/CN2023/091946 CN2023091946W WO2023131361A3 WO 2023131361 A3 WO2023131361 A3 WO 2023131361A3 CN 2023091946 W CN2023091946 W CN 2023091946W WO 2023131361 A3 WO2023131361 A3 WO 2023131361A3
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WO
WIPO (PCT)
Prior art keywords
lesson
learning
teacher
teaching
learners
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Application number
PCT/CN2023/091946
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French (fr)
Chinese (zh)
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WO2023131361A2 (en
Inventor
张梅
山艳
孙晓雪
Original Assignee
华北理工大学
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Publication of WO2023131361A2 publication Critical patent/WO2023131361A2/en
Priority to ZA2023/07444A priority Critical patent/ZA202307444B/en
Publication of WO2023131361A3 publication Critical patent/WO2023131361A3/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G06Q50/205—Education administration or guidance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/26—Visual data mining; Browsing structured data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Multimedia (AREA)
  • Databases & Information Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Tourism & Hospitality (AREA)
  • Strategic Management (AREA)
  • Educational Technology (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Educational Administration (AREA)
  • Molecular Biology (AREA)
  • Marketing (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Mathematical Physics (AREA)
  • Primary Health Care (AREA)
  • General Business, Economics & Management (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Electrically Operated Instructional Devices (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention relates to a big-data-based teaching planning method and system, and belongs to the field of teaching planning. The invention involves dividing a lesson into three stages, namely, before the lesson, during the lesson and after the lesson; prior to beginning a lesson, the teacher organizes according to questions provided as feedback by learners, and conducts comparisons relative to similar or identical questions in a learning platform; during the lesson, the teacher systematically verbally presents the information to be learned, emphasizing explanations of questions asked by students prior to the lesson, and thus organizes learning and teaching; after the lesson, according to questions provided as feedback by the learners, the teacher performs organization and summarization, and transmits same to the learning platform; and at the same time, by analyzing the learning status of the learners and combining same with the questions provided as feedback, the teacher can be helped to understand the learning situation of the learner, and thus, the present invention helps teachers to understand the learning situation of learners and also the situation surrounding the teaching method of the teacher, thereby improving learning efficiency and the multimodality of teaching.
PCT/CN2023/091946 2022-07-18 2023-05-04 Big-data-based teaching planning method and system WO2023131361A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
ZA2023/07444A ZA202307444B (en) 2022-07-18 2023-07-26 Big-data-based teaching planning method and system

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202210844270.5 2022-07-18
CN202210844270.5A CN115082269B (en) 2022-07-18 2022-07-18 Big data based teaching planning method and system

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WO2023131361A2 WO2023131361A2 (en) 2023-07-13
WO2023131361A3 true WO2023131361A3 (en) 2023-09-07

Family

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PCT/CN2023/091946 WO2023131361A2 (en) 2022-07-18 2023-05-04 Big-data-based teaching planning method and system

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CN (1) CN115082269B (en)
WO (1) WO2023131361A2 (en)
ZA (1) ZA202307444B (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111626628A (en) * 2020-06-01 2020-09-04 梅和珍 Network teaching system for extraclass tutoring
CN115082269B (en) * 2022-07-18 2023-01-20 华北理工大学 Big data based teaching planning method and system
CN117274507B (en) * 2023-11-21 2024-02-23 长沙美莱医疗美容医院有限公司 AI simulation method and system for facial beauty and shaping based on Internet
CN117763361B (en) * 2024-02-22 2024-04-30 泰山学院 Student score prediction method and system based on artificial intelligence
CN117834724B (en) * 2024-03-04 2024-04-30 中科软股教育科技(北京)股份有限公司 Video learning resource management system based on big data analysis
CN117910560B (en) * 2024-03-20 2024-06-07 徐州医科大学 Multi-style learning course generation system based on learning preference evaluation

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113160624A (en) * 2021-03-29 2021-07-23 贵州商学院 Financial management hybrid classroom teaching control system and method, medium and application
US20220043585A1 (en) * 2020-08-05 2022-02-10 Dropbox, Inc. System and methods for implementing a key-value data store
US11379670B1 (en) * 2019-09-30 2022-07-05 Splunk, Inc. Automatically populating responses using artificial intelligence
CN115082269A (en) * 2022-07-18 2022-09-20 华北理工大学 Big data based teaching planning method and system

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8214329B2 (en) * 2008-08-26 2012-07-03 Zeewise, Inc. Remote data collection systems and methods
CN101452550A (en) * 2008-11-19 2009-06-10 中国网络通信集团公司 Requirement information processing method for system
CN105704400B (en) * 2016-04-26 2018-10-26 山东大学 A kind of learning system and its operation method based on multi-platform terminal and cloud service
CN106354810A (en) * 2016-08-27 2017-01-25 锁福涛 Internet teaching system using big data technology
CN108121785A (en) * 2017-12-15 2018-06-05 华中师范大学 A kind of analysis method based on education big data
CN108965478A (en) * 2018-09-03 2018-12-07 北京许继电气有限公司 Distribution type data collection method and system based on block chain technology
CN109118860A (en) * 2018-09-19 2019-01-01 江苏金惠甫山软件科技有限公司 Expert English language training by qualified teachers system and method based on artificial intelligence
CN110909235A (en) * 2019-10-24 2020-03-24 东莞成电智信信息科技有限公司 Enterprise innovation expert intelligence library platform based on big data
CN111445331A (en) * 2020-03-24 2020-07-24 中国工商银行股份有限公司 Transaction matching method and device
CN111796935B (en) * 2020-06-29 2023-08-08 中国工商银行股份有限公司 Consumption instance distribution method and system for calling log information
CN113643163A (en) * 2021-08-11 2021-11-12 江苏熙枫教育科技有限公司 Internet education student comprehensive portrait label management system based on deep learning
CN114626694B (en) * 2022-02-24 2022-11-08 深圳市华师兄弟教育科技有限公司 Network course planning management system based on internet

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11379670B1 (en) * 2019-09-30 2022-07-05 Splunk, Inc. Automatically populating responses using artificial intelligence
US20220043585A1 (en) * 2020-08-05 2022-02-10 Dropbox, Inc. System and methods for implementing a key-value data store
CN113160624A (en) * 2021-03-29 2021-07-23 贵州商学院 Financial management hybrid classroom teaching control system and method, medium and application
CN115082269A (en) * 2022-07-18 2022-09-20 华北理工大学 Big data based teaching planning method and system

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
FENG, XING ET AL.: "A Distributed Intelligent Matching System Based on Real-time Big Data", SOFTWARE GUIDE, vol. 16, no. 8, 31 August 2017 (2017-08-31), CN , pages 5 - 8, XP009548893, ISSN: 1672-7800, DOI: 10.11907/rjdk.171722 *
XIE QINGSONG: "Industrial Big Data-oriented Data Acquisition System", MASTER'S THESIS, 1 May 2016 (2016-05-01), CN, pages 1 - 55, XP009548646 *
ZHANG LIHUA: "Design for Big Data Fingerprint Recognition System Based on ARM and Deep Learning", JOURNAL OF HUNAN UNIVERSITY OF SCIENCE & TECHNOLOGY(NATURAL SCIENCE EDITION), vol. 34, no. 1, 31 March 2019 (2019-03-31), pages 77 - 84, XP093089578, DOI: 10.13582/j.cnki.1672-9102.2019.01.012 *
ZHENG, BINBIN: "Exploration and Practice of Online and Offline Blended Teaching Mode into Curriculum Civics-Taking Provincial Fine Course Customer Relationship Management as an Example", UNIVERSITY EDUCATION, no. 5, 31 May 2022 (2022-05-31), pages 32 - 34, XP009549370, ISSN: 2095-3437 *

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Publication number Publication date
CN115082269B (en) 2023-01-20
WO2023131361A2 (en) 2023-07-13
CN115082269A (en) 2022-09-20
ZA202307444B (en) 2023-08-30

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