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Opportunities and Challenges of Distance Education

Opportunities and Challenges of Distance Education. The 3rd SINO FRANCO WORKSHOP ON MULTIMEDIA AND WEB TECHNOLOGIES March 26 – 28, 2002 INRIA SOPHIA ANTIPOLIS. Timothy K. Shih and MINE Lab Department of Computer Science and Information Engineering Tamkang University, Taiwan. Policy Issues.

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Opportunities and Challenges of Distance Education

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  1. Opportunities and Challenges of Distance Education The 3rd SINO FRANCO WORKSHOP ON MULTIMEDIA AND WEB TECHNOLOGIES March 26 – 28, 2002INRIA SOPHIA ANTIPOLIS Timothy K. Shih and MINE Lab Department of Computer Science and Information Engineering Tamkang University, Taiwan

  2. Policy Issues The Big Picture Technical Issues Sociological Issues Network Issues What the Users Want Software Systems Educational Technologies Scalability Demonstration of 4 Distance Learning Tools Solutions Problems and Considerations History of Media Technologies

  3. History of Media Technology for Learning • 1922: Thomas Edison predicted that the motion picture would replace textbook • W.W.II: Army training film(efficiency was the consideration) • After W.W.II: Television/VideoTapefor Learning, but no interaction • 70’s and 80’s: Computer Based Training (CBT) increases interactivity (limited to the drill and practice strategies). Stability is the concern to build CBT programs due to the rapid change of hardware and O.S. • 80’s: Satellite TV learning • Early 90’s: Multimedia presentations, CD ROM titles (CAI), Internet • Mid 90’s: Intelligent/individualized tutoring, WWW • Late 90’s: Distance Learning/Virtual University • The New Millennium and the Beyond: synchronized distance learning, mobile learning, virtual university, adaptive content development, remote lab, computer aided assessment, and …

  4. What’s the Big Picture? Elements of Distance Education • Criteria for Diploma or Degree • Standard (e.g., SCORM) • Intellectual Property (IP) • Classification of Virtual Universities • People/Sociological Considerations Policy Technology • Educational Professional • Administrator • Engineer • Artiste • Student/Customer People • Network Technologies • Web Technologies • Educational Theory • Intelligent Methods • Software Engineering

  5. Challenges of Distance Education Policies for Diploma, Standards, IP Human and Sociological Issues Technical Problems of DE Domain Specific Lab Network Technologies Cluster Computing Educational Technologies Distance Learning Middleware Systems Challenges of Distance Education

  6. Distance Learning Systems and Projects • WebCT http://www.webct.com • Blackboard 5 http://www.blackboard.com • Lotus LearningSpace http://www.lotus.com/home.nsf/welcome/learnspace • Topclass http://www.wbtsystems.com • eCollege http://www.ecollege.com • NetLearning+ http://www.netlearningplus.com • DigitalThink http://www.digitalthink.com • Convene http://www.convene.com • CAPA http://capa4.lite.msu.edu/homepage/#over • Assess2Learn http://www.riverpub.com/products/group/assess2learn.htm • EduCities http://www.educities.edu.tw • PI-Learning http://www.pi-learning.com/main_frame.html • The @campus http://www.at-campus.com • Cyber School http://www.scs.sk.ca/cyber/home.htm • WebQuiz Writer http://www.web-quiz.net • a2zClass http://www.a2zclass.com • Web Based Learning http://www.vitalect.com • Prometheus http://www.prometheus.com

  7. Issues of Distance Learning Systems • Course and UserManagement(Distance Learning Platform) • LearningSpace, PI-Learning, WebCT, @campus, a2zClass, Blackboard 5, NetLearning+, WBL, Prometheus, Topclass, eCollege, DigitalThink, Convene • Instance Hints andIntelligent Tutoring • CAPA, Assess2Learn, Blackboard 5 • Keep Track of Student Performances andAssessment • LearningSpace, CAPA, Assess2Learn, PI-Learning, Topclass, DigitalThink, Convene, Blackboard 5 • Personalized Quizzes andIndividualized Learning • CAPA, EduCities, Topclass • Secure Tests for Privacy • Assess2Learn, WebQuiz Writer, WBL, Convene, Blackboard 5 • Learning Models • EduCities • Real-TimeCommunication • LearningSpace, a2zClass, NetLearning+, Topclass, eCollege, Blackboard 5 • CourseContent • CAPA, a2zClass, DigitalThink, WebCT, Blackboard 5 • Multilingual Support • Topclass, DigitalThink, WebCT

  8. Research Issues of Distance Education • Instructor load in content development • Courseware/Platform Standard (e.g., SCORM) • Efficient courseware development tools • Instructor load in e-mail Q and A • FAQ summarization and auto-reply • Unbiased exam and automatic student assessment • Intelligent tutoring and individualized tests • Awareness from others at a regular interval • Universal and mobile accessibility • Remote lab and virtual lab • Scalability • Broadband and real-time communication

  9. Distance Learning Projects at MINE Lab • A Web document development environment • Mobile interface agent for persistent look-and-feel • Course development and student assessment tools • Communication and annotation tools • Video presentation recording tool • Mobile media server • On-line exam surveillance tool • Wireless mobile learning • Distance learning for blind people • Courseware design as a decision problem • Administration system http://www.mine.tku.edu.tw

  10. A Persistent Look and Feel Agent Timothy K. Shih and Jung-Hung Wang, MINE Lab, Tamkang University, Taiwan • Front End of Virtual World User Interface • Mobile Agent Technique • Universal Access • Persistent Look and Feel • Integrated with an E-Notebook • Automatic restore of personal data

  11. Student Instructor Administrator Mobile Agents of Different Roles • Student Agent • InstructorAgent • AdministratorAgent

  12. An E-Notebook Tool • Cut and Paste of Web Objects • The notebook is saved as a HTML file • Mobile Storage with a Replication Manager • Integrated with communication tools • Collaborative Notebook (Public Notebook) as a future work

  13. Student, Instructor, and Adm. Agents Demo

  14. A Course Development and Student Assessment System Timothy K. Shih, Nigel Lin, Jianhua Ma, and Runhe Huang (U. of Aizu, Japan) • How do we develop Web courses with an easy to access style? – Course Patterns • How do we evaluatestudent learning performance? – Navigation, Tests • How can we helpthem from the evaluation? – SPC Table • How can computer help them? – Tutorials

  15. Student-Problem Chart

  16. Revised Model – the SPC Table • The Student-Problem-Course (SPC) Table • View A: Score • View B: Navigation • View C: Test • Each view has two caution indices

  17. Pattern Design Pattern Specification Curriculum Development Committee Specification File BNF Grammar Message Pattern Formal Syntax Pattern GUI Web Course Pattern Database DDL Statements Course Pattern Pattern DDL Program Course Pattern Web Course Design Editor Course Content Course Design Web Course Content Database Students Instructors Course Pattern Interaction Course Content Web Browser with Web Navigation Patrol Analysis Intelligent Tutorial Web Navigation Records Web Navigation Database Progressive Learning State Machine Performance Analysis Model Navigation Records Performance Records An Instruction Design & Delivery System

  18. Automatic Lecture Generation • Based on Test Results • Based on Student Navigation Factors • Based on Test Problem Used • Based on Web Knowledge Structure, or Dependency Relations among course units • The generated lectures are state machines which include new physical links • Automatic lecture generation can be proceeded dynamically

  19. Content Quiz Structure Assessment Text Picture Button Video Audio Undo System User Interface – Content Editor

  20. Unit Frequency Type Question Popup Quiz Quiz Editing Options Answers Quiz Activation System User Interface – Popup Quiz Editor

  21. Object Detection Student – Problem Table Navigation Records System User Interface – Object Detection and SP Table

  22. Hierarchical Course Structure Tutorial Structure System User Interface – Tutorial Generation and Editing

  23. Course Editing & Navigation Analysis Demo

  24. Acknowledgement Text Annotation via Multiple Uni-casting Timothy K. Shih and Yi-Chun Liao, MINE Lab, Tamkang University, Taiwan • Text and simple graphic drawing • Annotation message broadcastingvia multiple uni-casting • NetMeeting 3.0, COM (Component Object Model), ActiveX control • Acknowledgementfrom Remote Stations is included • Floor Control:Control Modes,Channel, andGroup

  25. Green Lights Red Lights Yellow Light Question Button Request Button Red Flag Return Control A Course Annotation Tool

  26. Demo On-Line Annotation with Feedbacks

  27. Demo Annotation Tool • 30Client connections • HeterogeneousNetwork

  28. Annotation Tool (ER) Chat Room Tool (FA) Video Conferencing (ER) and Chat Room Tool (FA) Floor Control– multi-modal, multi-group, and multi-mode • The control of “Who to Speak” in a communication environment • Concepts: • Channel:communication modal (text, audio, video, etc.) • Mode: communication style of a channel (Free Accessvs. EqualRight) • Group: the IP domain of a channel • Example: 4 Channels, 3 Groups, 10 Persons, 2 Modes

  29. Chat Room Annotation Audio Video Video-on-Demand Shared Notebook Virtual Panorama Multi-modal and Multi-channel Comm.

  30. Video Message Annotation Music ASF Records Slide Audio Multimedia Synchronization Using ASF Timothy K. Shih, Y. R. Liu and Sheng-En Yeh, MINE Lab, Tamkang University, Taiwan • Automatic Recording • Use Commercial Codec and the Advanced Streaming Format (ASF) from Microsoft • Video and Slide Synchronization • Text and Drawing Annotation Synchronization • Slide Selection • Presentation Editing • Automatic Loading

  31. Slide Slide Slide Text User Interrupt User Interrupt User Interrupt Event-based Synchronization • Event markers are embedded in a ASF file • Arbitrary activationof markers • Do not record the entire screen as one video clip • Video streaming depends on Codec Video Stream • MS Office XP – Presentation Broadcastprovides video and slide synchronization (PowerPoint and IE)

  32. Choose Device Choose Codec Select Output Presentation Playback Slide Selection User Interface of Recording Tool

  33. Adaptive Presentation • Hard to record the entire lecture without making a mistake • Different presentation needs different level of details • Lecture summarization and editing • Atomic presentation object– a PowerPoint Slide (with its video and annotation events) Atomic Object Text

  34. Presentation Editing Three Levels of Details Automatic Loading Layered Presentation Hierarchy

  35. Demo Automatic Recording and Editing

  36. Distance Learning in the Future • Bring Outdoors to Indoors– Virtual Reality-based communication and situated learning • Bring Indoors to Outdoors– wireless communication for encyclopedia and E-books • Edutainment– makes learningeasier and more interesting • E-Commerce– learning as a commercial activity (i.e., knowledge is for sale) • E-Inequality– each virtual university has its own uniqueness • E-Problem?–less people-centric natural of learning • Yet another ‘dotcom’ issue?(i.e., not so optimistic?)

  37. Thank You http://www.mine.tku.edu.tw

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