Neomillennial eLearning Environments for Open Universities at the Age of Ubiquitous Computing Niki Lambropoulos Interaction Design Consultant, Researcher

Neomillennial eLearning Environments for Open Universities at the Age of Ubiquitous Computing

Niki LambropoulosInteraction Design Consultant, Researcher * Intelligenesis Consultancy

[email protected]

AACE Vancouver 25.10.05 – 16:30-15:00nikilambropoulos.org * Intelligenesis

Consultancy

Agenda The Ubiquitous World Open Universities Neomillennial Learning

Neomillennial Learning Styles Neomillennium Learning Strategy: Self-Organized

Learning in Social contexts (SOLOS) Neomillennial eLearning LPP Process

Neomillennial eLearning Environments Semantic Learning Objects Networks Multi-Agent Systems (MAS): IDEAL example Multi-Agent Systems (MAS) Infrastructure

Summative & Formative Assessment Methodology Conclusions


Consultancy

Ubiquitous World I

Computers disappear from the environment Human is Omnipresent Social networks via Social Computing

mobile gadgets multi-player games Emails & discussion forums Blogospheres & wikis instant messaging Peer-to-Peer (P2P) Networks for shared documents

repositories or general Social Network Sites


Consultancy

Ubiquitous World II

BCS’ Grand Challenges in Computing Research (Cambridge, 2005)

Researchers need to take the responsibility for the future of their disciplines

Science for global ubiquitous computing Scalable systems Journeys in non-classical, non-sequential

computation In Vivo – in Silico (iViS) systems Dependable systems Information Management over a human lifetime and Architecture of brain and mind


Consultancy

Open Universities: Education for Everyone

Reasons of success: Independence of time and space and accommodation of different learning styles

Leicester’s De Montfort University: personalised portal for 17,000 students

Swiss Virtual Campus: universities’ collaboration and existed technology

eLearning £50m disaster: policies, purposes and practices were not considered


Consultancy







Consultancy

Neomillennial Learning Styles(Dede, 2005) Fluency in multiple media and in simulation-based virtual

settings Communal learning involving diverse learners Knowledge becoming tacit, situated, distributed across a

community and among learners Content and context become common issues in learning A balance among experiential learning, guided mentoring, and

collective reflection Expression through nonlinear, associational webs of

representations Co-design of learning experiences personalized to individual

needs and preferences.


Consultancy

Neomillennial Learning StrategySelf-Organised Learning in Social contexts

(SOLOS) Internalisation of social construction of

meaning via Self-observation Observation of the Other Learner Perspective taking, mimesis of the language

Externalisation of meaning in the form of outer self-explanation and self-expression as posting.


Consultancy

Self-Organized Learning in Social contexts (SOLOS)

C. Public Participation (Self-Actualisation,

Motoric Reproduction - Overt Performances) 1. decision making 2. motoric response3. embedded behaviour

B. Socio-cultural Learning

(Retention Processes)1. retention 2. reflection

A. Active Lurking (Attentional Processes)

1. awareness

2. empathy 3. trust

.

VL

LPP


Consultancy

Neomillennial eLearning Legitimate Peripheral Participation Participation:

Active Lurking: active observation (Lambropoulos, 2005) Use of information outside of community (Takahashi et

al., 2005) Levels of Activity

Low Level of Activity Medium Level of Activity High Level of Activity

Immersion: sense of belonging, activity independent

Social Contribution Paradox: Public Participation is not prerequisite although necessary


Consultancy







Consultancy

Semantic Learning Objects Networks (SeLON)

Need for metadata standardisation and packaging

Principles: reuse and repurposing, match decoupling concept for modularisation, breaking the whole into units designed to ease restructuring (SCORM)

Storage Course, Unit and Object sub-repositories Metadata Search facility in Semantic Databases (SeSQL)


Consultancy

Multi-Agent Systems (MAS): IDEAL

Intelligent Director for Argumentative Learning (IDEAL) IDEAL consists of seven components:

1 instructional agent, 2 director agents "grandpa" and "grandma", 3 students' personal agents and 1 knowledge base

Implementation: Java on a standard agent platform FIPA-OS for interoperability

IDEAL Goals: Create awareness of learners’ interaction Support learners’ interaction Monitor individual learner’s interaction patterns and intervene

when necessary Support formative and summative evaluation Recommendation of external resources.


Consultancy

MAS Infrastructure: Gaia

Methodology I A. Analysis Phase αUni’s aims and objectives for on/off site

infrastructure Infostores: Information bases

separate infostores for agent-needed information

administration databases informal and formal eLearning material the Grid


Consultancy

MAS Infrastructure: Gaia Methodology II

A. Analysis Phase Preliminary roles section: labour and

learners’ agents and middleware information personalised agents, collaboration

agents, ABN (Argumentation Based Negotiation) server agents neutral objects.

Agent behaviour: PARADIGMA


Consultancy

Agent behaviour: PARADIGMA(Ashri and Luck, 2000) Attributes, actions, goals and motivations of

users’ needs Behavioural specification addresses the

process through which the agent arrives to decisions

Separates agent behaviour and agent description for modular design

Works with roles: set of capabilities and expected behaviour.


Consultancy

MAS Infrastructure: Gaia Methodology III

A. Analysis Phase (IV) Agents’ interaction section to resolve

conflicts or desires Agent Negotiation is based on common,

shared or joint beliefs using three level protocols: communication, synchronisation and interaction protocols (Paurobally, et al., 2003)


Consultancy

MAS Infrastructure: Gaia Methodology IV

A. Analysis Phase (V) Argumentation Based Negotiation

justify its negotiation stance influence another agent’s negotiation stance

(Jennings et al., 1998) agent can define, attract, attack or promise a

reward Rules Topology and control regime: patterns

of negotiation through agent argumentation


Consultancy

Gaia: Implementation of Analysis Phase B1. Architectural Design Phase

organizational efficiency on site University and networks using Campus portals infliction of the organizational rules

The completion of preliminary roles and interaction models. B2. Design Phase

agents classes and agents instances, interactions between roles, agent types and neutral objects

The services model identifies the main services and agents’ activities as well as agent’s roles, and their properties.


Consultancy

Agenda

The Ubiquitous World Open Universities Neomillennial Learning

Neomillennial Learning Styles Neomillennium Learning Strategy: Self-Organized Learning

in Social contexts (SOLOS) Neomillennial eLearning LPP Process




Consultancy

Real Time Formative & Summative Evaluation Methodology

Live Interrupted Short-Time-Series Design


Consultancy

Conclusions Open Unis and the Ubiquitous World

Need to increase faculty capabilities in co-design, co-instruction, guided learning-by-doing pedagogies, assessment beyond tests and papers and leaning management activities (Dede, 2005)

Sociability and Usability (Interaction Design) to support Neomillennial Learning

Need of Flexible Infrastructure and Live-Real Time Research Tools to deal with creativity & uncertainty

Changing attitudes is more difficult that changing systems

‘Imagination is more important than knowledge. For knowledge is limited to all’ (Einstein)


Consultancy

Thank you…

For your attention!

Niki Lambropoulos

[email protected]

nikilambropoulos.org

Questions and/or suggestions please forward to

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Neomillennial eLearning Environments for Open Universities at the Age of Ubiquitous Computing Niki Lambropoulos Interaction Design Consultant, Researcher