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4th Generation Internet


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Title: 4th Generation Internet

4th Generation Internet Distance LearningIX
International Congress on Distance LearningSão
Paulo, BrazilSeptember 4, 2002
  • Rafiq Khan
  • Senior Director, Strategic Development
  • CANARIE Inc.
  • Rafiq.khan_at_canarie.ca

  • About CANARIE Myself
  • Emergence of Knowledge-based Society
  • Emergence of Network-based Education
  • Key Drivers
  • Research Education Networks
  • Future Directions
  • CANARIEs E-learning Program
  • Selection of Canadian E-learning Web Sites
  • Summary E-Learning Tomorrow

About CANARIE (1)
  • Canadian Network for the Advancement of Research,
    Industry and Education
  • Canadian public-private partnership that delivers
    a Federal RD program
  • Mission to facilitate development use of
    Canadas advanced communications infrastructure
  • Program components include advanced backbone
    networks, RD funding for Enabling Technologies,
    E-learning, E-health, E-business E-content

About CANARIE (2)
  • Operates as a not-for-profit corporation
  • Managed by an independent Board of Directors
  • Facilitates domestic international
  • Reports to the Minister of Industry Canada

Current Funding Program
  • Program
  • Total Funds
  • Time Frame
  • Maximum/
  • Typical
  • Next
  • Available

E-learning 28
2m / 1m


E-business 28
2m / 1m

E-content 6
200K/ 150K

E-health 5
500K/ 200K

About Myself
  • Name Rafiq Khan
  • Title Senior Director, Strategic Development
  • Report Chief Executive Officer of CANARIE Inc.
  • Responsibilities Setting the course for future
    directions, priorities
  • Background Economics, commercial business and
    RD policy/program development

Emergence of Knowledge-based Society
  • With the arrival of the industrial strength
    Internet in the mid-1990s, the notion of a
    knowledge-based society has gained considerable
  • Various trends reflect this emergence
  • Jobs are shifting froma dependency on relatively
    low skills to high skills
  • Major transformations are affecting key sectors
    with the emergence of E-learning, E-commerce,
    E-government E-health
  • Skills knowledge upgrading are becoming a
    continuous requirement associated with on-the-job
  • Designing, sourcing, developing selling
    products services is increasing globalized

Building Canadas Third Wave Infrastructure
for InnovationThe Integration of Grids,
Repositories and Networks
  • First Wave
  • Open standards for Data Communication The
  • Second Wave
  • Open standards for Data Presentation World Wide
  • Third Wave
  • Open standards for network-based applications
    Web Services

The Need for Continuous Learning
  • In the New Economy knowledge is a key resource
    and the quality of a nations work force is
    critical to ensuring competitiveness
  • The key to this transition is for workers to make
    intelligent use of information
  • This capability will increasingly be the measure
    of an individuals contribution to the economy
  • Therefore, life-long learning becomes an

Emergence of Network-based Education
  • Traditional education is being transformed by the
    enabling capabilities of the Internet, which
  • new ways of teaching
  • new models of learning
  • means to absorb rapid increase in numbers of
  • means to deliver education/training with
    decreasing numbers of instructors
  • The Internet is globalizing education with the
    emergence of anywhere - anytime E-learning

Public Sector
Business Sector
  • XDSL Local Loop Dark Fibre
  • Cable Modems
  • Broadband Wireless

End Users
Primary Elements of a National Information
Applications Enabling Technologies

  • Physical
  • Infrastructure
  • Wired
  • (Copper, Coaxial, Fibre)
  • Wireless
  • Satellite
  • Finance
  • Health
  • Education

Research Education Networks
  • Since the mid 1990s various countries have
    established national regional networks in
    support of RD in general as well as the health
    and education in particular
  • Typical networks in addition to those of CANARIE,
  • Internet2 vBNS (USA)
  • NORDUnet (Nordic countries)
  • SURFnet (The Netherlands)
  • GrangeNet (Australia)
  • SingAREN (Singapore)
  • Dante (European Union)

Research Education Networks CAnet 3
  • CANARIE created the worlds first all-optical RE
    national backbone network. Operating
    coast-to-coast at 2.5 G/s with segments running
    as fast as 40 G/s
  • Overall design based on 8 dedicated optical
  • Network access point in each province, thus
    linking all Regional Advanced Networks in Canada
  • Provides national Intranet transit services for
    research/education communities throughout Canada
  • Has links to dozens of international peer networks

Future Directions Enabling Technologies
  • Learning Object Repositories
  • Optical Networks
  • Grids
  • Web Services

What is a Learning Object Repository (LOR)?
  • A collection of learning objects on a
    distributed network
  • Conforms to certain standards
  • An elegant structure that promotes sharing of
    content without giving up control of curriculum
  • Consistent with emerging Web Services concept

What are Learning Objects?
  • Small (or granular) pieces of multimedia (text,
    audio, video, etc.) content that capture specific
    information or concept
  • Learning objects are tagged with metadata in
    standardized ways to ensure consistency,
    accessibility, etc.

What is Metadata?
  • Keywords that describe the learning object,
    similar to a library card file
  • Specifications for metadata are being developed
    IMS, SCORM, CanCore
  • International standards will emerge over the next
    few years

Why are LORs Important?
  • E-learning content development is expensive and
    time consuming LORs provide a mechanism to
  • share content easily
  • re-purpose content from other sources
  • update content that changes
  • locate desired content quickly
  • control access to appropriate users

What are CANARIEs LOR Activities?
  • Providing a catalyst for pan-Canadian LOR
    development activities
  • Several projects funded 2000-2002
  • State-of-the-art report prepared March 2002
  • to be released in September
  • Three new projects commencing fall 2002
  • CANARIE support of 6 million
  • Working closely with Industry Canadas EduSpecs

Current LOR Projects
  • BELLE (Netera Alliance, AB)
  • network architecture testbeds
  • belle.netera.ca/
  • POOL (NewMIC, BC)
  • Splash, Pond, Pool models
  • www.newmic.com/pool/
  • CanCore Metadata Protocol Development
  • efficient and easy to use for education
  • fully compliant with IMS and SCORM
  • www.cancore.ca

New Projects October 2002
  • eduSource a major pan-Canadian LOR prototype
  • participation from across Canada
  • The Inclusive Learning Exchange (TILE)
  • addressing needs of learners with disabilities
  • LOGIC Case Study Generator
  • use of LORs for case-based learning

Areas of Activity
  • Content development for testing
  • Software development
  • Hardware integration
  • Testing and evaluation
  • Digital rights management
  • Metadata development
  • Business and management models
  • Community building
  • Project management, co-ordination and

Industry Canadas EduSpecs Initiative
  • Holds the membership for Canada in the IMS
    metadata development consortium
  • Funds certain projects (e.g. CanCore development)
  • Supports a Technical Liaison Office at the Open
    Learning Agency in Vancouver
  • See http//eduspecs.ic.gc.ca/

Coordinated Pan-Canadian LOR Participant Map
Coordinated Functions
CANARIE EduSpecs CanCore Project
management, Policy development, Network of
Champions, Evaluation, Partnership, dissemination
Academic Research Community
Roll out Community-Building Projects
Industry Canada SchoolNet
Heritage Canada
Merlot SMETE Edutella
  • Learning Object Repositories hold enormous
    promise as effective means for developing,
    storing, retrieving, maintaining, and using
    e-learning content
  • International standards are being developed
  • LORs fit within the context of emerging Web

Future Directions Optical Networks
  • Optical fiber will be the dominate conduit in
    future networks
  • Optical signals multiplexed using wave division
    techniques (i.e., WDM allows for many
    Gigabits/optical strand)
  • LAN technology invading the WAN (e.g., Gigabit
    Ethernet - based on widely known well
    understood principles)
  • Trend towards building your own network using
    dark fiber (e.g., many school districts in
    Québec, Canada)
  • This kind of networking is driving the need for
    new network architectures, based on a multitude
    of wavelengths, that are configured scalable
    while under customer control

Future Directions Optical Networks - CAnet 4
  • A Grid based on optical wavelength routing
  • Network scalable to any number of wavelengths
  • To give backbone access points at the edge of the
    network (and ultimately their participating
    clients) the ability to setup and manage their
    own wavelengths across the network thus allow
    direct peering between these access points using
    dedicated wavelengths optical cross connects
    that they control manage

Future Directions Optical Networks - CAnet 4
  • To allow the establishment of wavelengths by the
    backbone access points their participating
    institutions in support of QoS grid
  • Includes sharing of wavelengths with European
    Asian partners
  • To allow connected regional and community
    networks to setup transit wavelength peering
    relationships with similar like minded networks
  • To offer an optional layer 3 aggregation
    service for those networks that require or want
    such a facility

The ISO 7-Layer Reference Model
  • The following is a representation of the
    International Standards Organization (ISO)
    7-layer open systems interconnection protocol

CAnet 4 Canadas Next Internet
Add CAnet 4 Topology Here
Future Directions GridsThe General Concept (1)
  • The structure of a computer-based Grid is like a
    utility grid or transportation grid - nodes
    connected to a physical network (e.g., power
    generation facilities connected to electricity
    users via a network of electrical transmission
    storage facilities)
  • Thus, a Grid is a scalable wide-area network
    linking data collecting and data handling
    capabilities, often with computational resources
    and support infrastructure distributed across the

Future Directions GridsThe General Concept (2)
  • In computer-based Grids
  • the nodes are computing resources like high
    performance computers, massive databases
    scientific instruments
  • the physical network is comprised of wire line
    and wireless communications networks
  • the enabling power of a Grid is achieved through
    software environments that allow sharing of
    geographically distributed resources for data
    gathering storage, computation and visualization

Future Directions GridsTypes of Grids
  • Access Grids provide remote use of
    instrumentation over geographic distances
  • Computational Grids primarily used for large
  • Data Grids provide a means of distributing
    sharing massive data sets

Future Directions GridsSocio-Economic Impact
  • Longer-term influences anticipated to include
  • development of new science engineering leading
    to new technologies, products and services thus
    creating comparative competitive advantages
  • enhanced capabilities innovative new models of
    E-learning, E-government, E-health
    E-commerce, to name a few
  • new forms of human, human-machine
    machine-to-machine collaboration leading to a
    plethora of new opportunities

Future Directions Web ServicesThe General
  • Web Services allow for two-way transactions
    compared to the passive environment of most of
    the Web were users extract information from a
    given site but do not post information to that
  • Web Services allow Web-based computer-to-computer
    communications information sharing
  • Web Services happen in a back-end context are
    transparent to the user

Future Directions Web ServicesA Definition
  • Web Services are enabling technologies that
    facilitate the assembly integration of
    applications in order to create new, more
    meaningful and/or more user-specific applications

Future Directions Web Services Assimilating the
  • Web Services are expected to have major
    implications for the future of on-line teaching,
    learning research
  • The technical architecture that will drive Web
    Services needs to be properly defined
    communicated throughout the educational community

Summary E-Learning Tomorrow (1)
  • Universally improved access to the Internet
  • Content developed from repositories of multimedia
    learning objects
  • Courses designed for broadband will allow for
  • the use of rich multimedia content
  • dynamic interaction between content the student
  • Global community of students studying learning
    from anywhere, anytime at any pace

Summary E-Learning Tomorrow (2)
  • If social economic benefits of anyone,
    anywhere, anytime, any pace E-learning are to be
    realized, there is a requirement for widespread
    access to broadband to where ever learners need
    learning (e.g., especially the home)

CANARIEs E-learning Program
  • For details on program goals, objectives, design,
    funding levels, eligibility proposal
    evaluation criteria, project summaries
    associated references please see
  • ltwww.canarie.ca/funding/learning.htmlgt

Examples of CANARIEs E-learning Projects (1)
Broadband Enabled Lifelong Learning Environment,
a project that will develop a model for peer
review and tagging multimedia learning content.
Netera Alliance ltwww.netera.ca/bellegt Creating
Barrier-free, Broadband Learning Environments, a
project aimed at identifying potential barriers
to use of broadband networks for learners with
disabilities and seeking ways that these can be
overcome utilizing the unique strengths of
broadband. Centre for Academic Adaptive
Technology, University of Toronto
ltwww.barrierfree.cagt Distance Coaching System, a
project that will develop teletraining models for
adult learners that try to emulate personal
mentoring through synchronous Internet
interaction. Université de Montréal
ltwww.gravti.umontreal.ca/can88/gt LearnCanada, a
project dedicated to developing K-12 teacher
professional development within a
portal/repository environment, making extensive
use of CA net3. STEMNet ltwww.learncanada.cagt
Examples of CANARIEs E-learning Projects (2)
Modular Tool for Integration of Contents (MTIC),
a project that explores the means of presenting
museum and heritage information in a way that is
appropriate and useful to educators. Labidéeclic!
ltwww.ideeclic.comgt New Integrated Multimedia
Learning Environment for Internet Training, a
project that will design a model of distance
education for post-secondary students based upon
a combination of traditional videoconference and
multipoint Internet streaming technologies,
permitting synchronous and asynchronous delivery
methods. University of Ottawa lthttp//137.122.150
.50/gt Partnerships for Learning, Innovation and
Technology, a project that will focus on
collaborative graduate classes using broadband
that will be compared to existing microwave
broadcast-quality video. Centre for Learning and
Teaching Through Technology, University of
Waterloo ltwww.pliant.cagt
Examples of CANARIEs E-learning Projects (3)
Portal for Online Objects in Learning, a project
that will develop a prototype national repository
and portal for learning objects, particularly for
post-secondary, workplace training and continuing
education markets, using a web-based approach.
Technical University of British Columbia
ltwww.newmic.com/poolgt SavoirNet, a project that
will explore innovative hybrid use of digital
television with interactive broadband. Canal
Savoir ltwww.canal.qc.ca/corporation/index.htmlgt V
irtual Veterinary Medicine Learning Commons, a
project that addresses the use of broadband to
reach post-secondary veterinary learners to
overcome barriers of distance and jurisdiction.
Ontario Veterinary College, University of Guelph
ltwww.ovc.uoguelph.ca/Canarie/Project/index.htmgt I
nteractive Multimedia Learning System for
Mathematics on Broadband Networks Project - This
project will develop network-enabled interactive
computer simulation designed to support
collaborative learning teams of mathematics
students in grades 7 to 9 from across Canada.
CogniScience/Micro-Intel ltwww.micro-intel.comgt
Examples of CANARIEs E-learning Projects (4)
The Language Learning Environment and Resource
Network (LLEARN) will utilize the broadband
environment to enhance both the teaching and
learning of a second language. The result will
be tools and a methodology which will make
learning new languages easier. Etraffic
Solutions Inc. ltwww.llearn.netgt The Pan-Canadian
Health Informatics Collaboratory will create a
virtual learning environment which provides
interactive computer-based education and training
in the field of health informatics. University
of Victoria lthttp//hinf.uvic.cagt The SportWeb
Online Education Project will use network
technology to instruct and assist sport coaches
across the country. The project will operating
in French and English and involve more than 20
national and provincial sporting organizations
and 1,000 participants. Nortia Learning Systems
Inc. lthttp//sportweb.cancoach.comgt
A Selection of Canadian E-learning Related Web
  • CANARIE Inc. ltwww.canarie.cagt
  • CANARIE Inc. E-learning Program
  • SchoolNet ltwww.schoolnet.cagt
  • Office of Learning Technologies
  • Canadian Association for Distance Education
  • Centre for Distance Education ltwww.sfu.ca/cde/gt
  • The Commonwealth of Learning ltwww.col.orggt

Future DirectionsGrids - A Definition
  • Grids are a consistent, open, and standardised
    environment that support construction of
    collaborative problem solving systems that
    involve distributed, aggregated high
    performance, computing large data archive
    resources, real-time, high data rate
    instrumentation, human interaction

The Exploration of Grid Space
Future DirectionsThe Evolution of Grid Space
  • Grids are part of a nations cyber infrastructure
  • Grids are evolving from simple computational
    initiatives to complex distributed computing
    platforms simultaneously processing different
    parts of a massive computational problems
  • Grids provide the infrastructure to address
    previously intractable computational problems
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