SlideShare una empresa de Scribd logo
1 de 50
A New Form of Learning Resource in u-Learning Environmen

             —A Brief Introduction to Learning Cell




                          Xianmin Yang

                         PhD Candidate in BNU



                      Email: yangxianmin8888@163.com
         Ubiquitous Learning Team, Beijing Normal University
Background
Table of Contents

一.Background
二.Design conception
三.Concept and Model
四.Prototype system
五.Application scenarios
六.Ongoing exploration
New emerging technologies              1




Virtual Reality                           Things of Internet




                    Pervasive Computing


Semantic Web                              Clound Computing
New emerging technologies             1



 The   world     is   changing!
 Our life, work, learning….everything is in
  the tide of changing!
Popular learning theories   2


   Social Constructivism
   Connectivism
   Distributed Cognition
   Situated Cognition
   …..
New characteristics in learning             2


   ubiquitous                 Learning

   social
   informal
   connective
   situational
   adaptive


                                          Learning
                  Technology
                                           theory
Next generation of e-Learning:     3
                  U-Learning
 Next phase of e-Learning development
 5A Learning (anyone, anywhere, anytime,
  any device, any learning resource)
 Key features
     Ubiquitous
     Informal
     Situated
     Social
     Context-aware
     Distributed cognition
Progresses of Learning Resource Sharing Technologies   3
Deficiencies of Current Learning Technologies   3


 Born in Web1.0 era
 Only supports one-way information
  communication
 More focus on formal learning, less on
  informal learning
Deficiencies of Current Learning Technologies   3


 Emphasize learning resources and
  activities sharing in a close structure
   Ignores the continuous updating of learning
    resources
   Ignores dynamic and generative connection of
    learning resources
   Ignores building up dynamic relationships
    between learners and teachers with learning
    resources
Proposal of Learning Cell




                            Year 2008
                     Prof. Yu Shenqquan
                             Propose

                     Learning Cell


The organizational model and key technologies
           of u-Learning resource
Design conception
Design conception of LC                      1


 一、Supporting a whole learning flow



   Objective      Learning    Learning
  instruction     content     activities      Tool Base:
                                                  BBS
                                           Interactive Q&A
                                             Online survey
                                              Online quiz
   Practice      Assessment                   Subject tool
                                                  ……
Design conception of LC        2


 二、Emphasize the connections between
  resources and users
Design conception of LC         3


 三、Open APIs to link external learning
  ecosystem
Design conception of LC             4


 四、Make learning resources evolve orderly

                                            (内容+人际网+外部资源+外
                                              部链接+过程性信息)
                             添加外部链接

                                      版本4
                    附加人际网


                              版本3
                            附加人际网
         编辑内容

                    版本2
    生产
                   发表评论
                   做批注
         版本1

         嵌入Rss资源
Design conception of LC         5


 五、Persist valuable generating information

 Learning Resource is Not Presetting, But
 Generating!
Concept and model
What is Learning Cell?                  1


 A new kind of learning resource designed
  for u-Learning
 Make a big improvement of Learning
  Object
   Supports sharing of the valuable generative
    information
   Supports sharing of social cognitive network
   Can realize self-evolution
   Keep a small granularity and more intelligent
Conceptual model of LC   2
Information model of LC   3
Runtime environment of LC   4
u-Learning process Based on LC   5
Prototype System
实际依托项目                   1


 Funded Natural Science Foundation of
  China
 Website: http://lcell.bnu.edu.cn
Architecture   2
Unique features           3


一.Resource organization based on knowledge
  ontology
                  知识模型




                  知识实例




                         知识本体

                         资源实体
Unique features                                      3

                                                     本体标注器

                新资源              附加本体           自动标注    手工校对


                                                本体抽取     应用统计

                                                                应用统计
                      进入
                                                                本体精炼




                                                       自动提取
                                                       知识本体
                      学习资源空间




                      学科知识本体
编辑

       语文             计算机               物理
编辑   小说 人物 阅读     CPU 程序 硬盘         重力 阻力 速度
      作文 识字..     有向图 软件..           加速度 定律..
                                                ……
                            扩展




              通用学科知识本体
       (概念、事实、原理、程序性知识、复合性知识)
Unique features             3


二、Collaborative editing learning contents to
  make contents evolving continually
Unique features   3


三、Visual Knowledge Network
Unique features     3


四、Visual Interpersonal Network
Unique features           3


五、 Integration of open source gadgets
Unique features             3


六、Transformation Between SCORM and LC
Unique features                     3


七、Dynamic metadata searching
•Reference the search method of Googlebase and Freebase
•Realize more precise retrieval of learning resource
Unique features      3


八、Tag Navigator and Tag cluster
Unique features      3


八、Tag Navigator and Tag cluster
Unique features      3


八、Tag Navigator and Tag cluster
Application Scenarios
   Resources library construction
   Publishment of digital resources
   Knowledge management
   organizational learning

 For more information:
     http://lcell.bnu.edu.cn/help/FAQ.jsp#four_1
Ongoing exploration
Learning resource evolution                   1


   How to make LC evolve orderly?
 Web1.0: closed, evolve less




                               HOW?




                                      Continually, orderly evolution


Web2.0: open, evolve in disorder
Adaptive recommendation of LC            2


 How to recommend LCs to users
  adaptively?



                                       Adaptively
                                       Personally




  User-centered Learning Environment
u-Learning model based on LC         3


 How to implement multidimensional
  learning based on learning?
 How to design and verify the learning
  effects of learning models based on LC?
Automatic Social Network Construction   4


 How to construct social network dynamically
  through mining all kinds of learning process
  information?
Self-adaption of Learning content
                                               5
                on multi-devices

 How to display correctly learning contents
  on different learning devices?
Spread of diffusion of organizational Knowledge
                                                       6
                       based on LC


 How to build a learning organization
  based on LC?
Lcell.bnu.edu.cn

Más contenido relacionado

Similar a A brief introduction to learning cell

Institutional Repositories
Institutional RepositoriesInstitutional Repositories
Institutional Repositories
Joshua Parker
 
Integrating digital traces into a semantic enriched data
Integrating digital traces into a semantic enriched dataIntegrating digital traces into a semantic enriched data
Integrating digital traces into a semantic enriched data
Dhaval Thakker
 
Network Learning: AI-driven Connectivist Framework for E-Learning 3.0
Network Learning: AI-driven Connectivist Framework for E-Learning 3.0Network Learning: AI-driven Connectivist Framework for E-Learning 3.0
Network Learning: AI-driven Connectivist Framework for E-Learning 3.0
Neil Rubens
 
Web Science Session 4 E-Learning.pdf
Web Science Session 4 E-Learning.pdfWeb Science Session 4 E-Learning.pdf
Web Science Session 4 E-Learning.pdf
Stefanie Panke
 
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
ijceronline
 
Building_a_Personal_Knowledge_Recommenda
Building_a_Personal_Knowledge_RecommendaBuilding_a_Personal_Knowledge_Recommenda
Building_a_Personal_Knowledge_Recommenda
Vinícios Pereira
 
Introduction to learning cell
Introduction to learning cellIntroduction to learning cell
Introduction to learning cell
Wei Cheng
 
Instruction Designe for e-Content Development;UK-India Prospective
Instruction Designe for e-Content Development;UK-India ProspectiveInstruction Designe for e-Content Development;UK-India Prospective
Instruction Designe for e-Content Development;UK-India Prospective
Mazhar Laliwala
 
LNCS_CSCWD06_KC_Recommendation
LNCS_CSCWD06_KC_RecommendationLNCS_CSCWD06_KC_Recommendation
LNCS_CSCWD06_KC_Recommendation
Vinícios Pereira
 
Semantic, Cognitive and Perceptual Computing -Deep learning
Semantic, Cognitive and Perceptual Computing -Deep learning Semantic, Cognitive and Perceptual Computing -Deep learning
Semantic, Cognitive and Perceptual Computing -Deep learning
Artificial Intelligence Institute at UofSC
 

Similar a A brief introduction to learning cell (20)

Institutional Repositories
Institutional RepositoriesInstitutional Repositories
Institutional Repositories
 
Integrating digital traces into a semantic enriched data
Integrating digital traces into a semantic enriched dataIntegrating digital traces into a semantic enriched data
Integrating digital traces into a semantic enriched data
 
Network Learning: AI-driven Connectivist Framework for E-Learning 3.0
Network Learning: AI-driven Connectivist Framework for E-Learning 3.0Network Learning: AI-driven Connectivist Framework for E-Learning 3.0
Network Learning: AI-driven Connectivist Framework for E-Learning 3.0
 
Workshop oeb 2008 authoring
Workshop oeb 2008 authoring Workshop oeb 2008 authoring
Workshop oeb 2008 authoring
 
Learning Analytics: what are we optimizing for?
Learning Analytics: what are we optimizing for?Learning Analytics: what are we optimizing for?
Learning Analytics: what are we optimizing for?
 
Web Science Session 4 E-Learning.pdf
Web Science Session 4 E-Learning.pdfWeb Science Session 4 E-Learning.pdf
Web Science Session 4 E-Learning.pdf
 
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
 
Building_a_Personal_Knowledge_Recommenda
Building_a_Personal_Knowledge_RecommendaBuilding_a_Personal_Knowledge_Recommenda
Building_a_Personal_Knowledge_Recommenda
 
Learning Analytics – Opportunities for ISO/IEC JTC 1/SC36 standardisation
Learning Analytics – Opportunities for ISO/IEC JTC 1/SC36 standardisationLearning Analytics – Opportunities for ISO/IEC JTC 1/SC36 standardisation
Learning Analytics – Opportunities for ISO/IEC JTC 1/SC36 standardisation
 
Session 0.0 poster minutes madness
Session 0.0   poster minutes madnessSession 0.0   poster minutes madness
Session 0.0 poster minutes madness
 
Introduction to learning cell
Introduction to learning cellIntroduction to learning cell
Introduction to learning cell
 
Instruction Designe for e-Content Development;UK-India Prospective
Instruction Designe for e-Content Development;UK-India ProspectiveInstruction Designe for e-Content Development;UK-India Prospective
Instruction Designe for e-Content Development;UK-India Prospective
 
Learning registry for Connected Educators
Learning registry for Connected EducatorsLearning registry for Connected Educators
Learning registry for Connected Educators
 
The Social Semantic Server: A Flexible Framework to Support Informal Learning...
The Social Semantic Server: A Flexible Framework to Support Informal Learning...The Social Semantic Server: A Flexible Framework to Support Informal Learning...
The Social Semantic Server: A Flexible Framework to Support Informal Learning...
 
The Social Semantic Server - A Flexible Framework to Support Informal Learnin...
The Social Semantic Server - A Flexible Framework to Support Informal Learnin...The Social Semantic Server - A Flexible Framework to Support Informal Learnin...
The Social Semantic Server - A Flexible Framework to Support Informal Learnin...
 
Towards the Intelligent Internet of Everything
Towards the Intelligent Internet of EverythingTowards the Intelligent Internet of Everything
Towards the Intelligent Internet of Everything
 
LNCS_CSCWD06_KC_Recommendation
LNCS_CSCWD06_KC_RecommendationLNCS_CSCWD06_KC_Recommendation
LNCS_CSCWD06_KC_Recommendation
 
e-learning_futures_pawlowski
e-learning_futures_pawlowskie-learning_futures_pawlowski
e-learning_futures_pawlowski
 
Online Education:Changing with the times
Online Education:Changing with the timesOnline Education:Changing with the times
Online Education:Changing with the times
 
Semantic, Cognitive and Perceptual Computing -Deep learning
Semantic, Cognitive and Perceptual Computing -Deep learning Semantic, Cognitive and Perceptual Computing -Deep learning
Semantic, Cognitive and Perceptual Computing -Deep learning
 

Último

1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
QucHHunhnh
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
negromaestrong
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
QucHHunhnh
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
PECB
 
Gardella_PRCampaignConclusion Pitch Letter
Gardella_PRCampaignConclusion Pitch LetterGardella_PRCampaignConclusion Pitch Letter
Gardella_PRCampaignConclusion Pitch Letter
MateoGardella
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
kauryashika82
 

Último (20)

INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
Gardella_PRCampaignConclusion Pitch Letter
Gardella_PRCampaignConclusion Pitch LetterGardella_PRCampaignConclusion Pitch Letter
Gardella_PRCampaignConclusion Pitch Letter
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 

A brief introduction to learning cell

  • 1. A New Form of Learning Resource in u-Learning Environmen —A Brief Introduction to Learning Cell Xianmin Yang PhD Candidate in BNU Email: yangxianmin8888@163.com Ubiquitous Learning Team, Beijing Normal University
  • 3. Table of Contents 一.Background 二.Design conception 三.Concept and Model 四.Prototype system 五.Application scenarios 六.Ongoing exploration
  • 4. New emerging technologies 1 Virtual Reality Things of Internet Pervasive Computing Semantic Web Clound Computing
  • 5. New emerging technologies 1  The world is changing!  Our life, work, learning….everything is in the tide of changing!
  • 6. Popular learning theories 2  Social Constructivism  Connectivism  Distributed Cognition  Situated Cognition  …..
  • 7. New characteristics in learning 2  ubiquitous Learning  social  informal  connective  situational  adaptive Learning Technology theory
  • 8. Next generation of e-Learning: 3 U-Learning  Next phase of e-Learning development  5A Learning (anyone, anywhere, anytime, any device, any learning resource)  Key features  Ubiquitous  Informal  Situated  Social  Context-aware  Distributed cognition
  • 9. Progresses of Learning Resource Sharing Technologies 3
  • 10. Deficiencies of Current Learning Technologies 3  Born in Web1.0 era  Only supports one-way information communication  More focus on formal learning, less on informal learning
  • 11. Deficiencies of Current Learning Technologies 3  Emphasize learning resources and activities sharing in a close structure  Ignores the continuous updating of learning resources  Ignores dynamic and generative connection of learning resources  Ignores building up dynamic relationships between learners and teachers with learning resources
  • 12.
  • 13. Proposal of Learning Cell Year 2008 Prof. Yu Shenqquan Propose Learning Cell The organizational model and key technologies of u-Learning resource
  • 15. Design conception of LC 1  一、Supporting a whole learning flow Objective Learning Learning instruction content activities Tool Base: BBS Interactive Q&A Online survey Online quiz Practice Assessment Subject tool ……
  • 16. Design conception of LC 2  二、Emphasize the connections between resources and users
  • 17. Design conception of LC 3  三、Open APIs to link external learning ecosystem
  • 18. Design conception of LC 4  四、Make learning resources evolve orderly (内容+人际网+外部资源+外 部链接+过程性信息) 添加外部链接 版本4 附加人际网 版本3 附加人际网 编辑内容 版本2 生产 发表评论 做批注 版本1 嵌入Rss资源
  • 19. Design conception of LC 5  五、Persist valuable generating information  Learning Resource is Not Presetting, But Generating!
  • 21. What is Learning Cell? 1  A new kind of learning resource designed for u-Learning  Make a big improvement of Learning Object  Supports sharing of the valuable generative information  Supports sharing of social cognitive network  Can realize self-evolution  Keep a small granularity and more intelligent
  • 27. 实际依托项目 1  Funded Natural Science Foundation of China  Website: http://lcell.bnu.edu.cn
  • 29.
  • 30. Unique features 3 一.Resource organization based on knowledge ontology 知识模型 知识实例 知识本体 资源实体
  • 31. Unique features 3 本体标注器 新资源 附加本体 自动标注 手工校对 本体抽取 应用统计 应用统计 进入 本体精炼 自动提取 知识本体 学习资源空间 学科知识本体 编辑 语文 计算机 物理 编辑 小说 人物 阅读 CPU 程序 硬盘 重力 阻力 速度 作文 识字.. 有向图 软件.. 加速度 定律.. …… 扩展 通用学科知识本体 (概念、事实、原理、程序性知识、复合性知识)
  • 32. Unique features 3 二、Collaborative editing learning contents to make contents evolving continually
  • 33. Unique features 3 三、Visual Knowledge Network
  • 34. Unique features 3 四、Visual Interpersonal Network
  • 35. Unique features 3 五、 Integration of open source gadgets
  • 36. Unique features 3 六、Transformation Between SCORM and LC
  • 37. Unique features 3 七、Dynamic metadata searching •Reference the search method of Googlebase and Freebase •Realize more precise retrieval of learning resource
  • 38. Unique features 3 八、Tag Navigator and Tag cluster
  • 39. Unique features 3 八、Tag Navigator and Tag cluster
  • 40. Unique features 3 八、Tag Navigator and Tag cluster
  • 42. Resources library construction  Publishment of digital resources  Knowledge management  organizational learning  For more information:  http://lcell.bnu.edu.cn/help/FAQ.jsp#four_1
  • 44. Learning resource evolution 1  How to make LC evolve orderly? Web1.0: closed, evolve less HOW? Continually, orderly evolution Web2.0: open, evolve in disorder
  • 45. Adaptive recommendation of LC 2  How to recommend LCs to users adaptively? Adaptively Personally User-centered Learning Environment
  • 46. u-Learning model based on LC 3  How to implement multidimensional learning based on learning?  How to design and verify the learning effects of learning models based on LC?
  • 47. Automatic Social Network Construction 4  How to construct social network dynamically through mining all kinds of learning process information?
  • 48. Self-adaption of Learning content 5 on multi-devices  How to display correctly learning contents on different learning devices?
  • 49. Spread of diffusion of organizational Knowledge 6 based on LC  How to build a learning organization based on LC?