Virtual worlds are part of the shared spaces technologies and are applied to strengthen the weaknesses of teamwork, identifying a direct relationship with the intellectual capital. Theoretical models on virtual worlds have different attributes from other digital media and allow getting effective team collaboration; this is possible because unlike 3D games, virtual world’s user actions lie in their interest. Based on the information about virtual worlds, intellectual capital, collaborative knowledge management, intelligent agents and MPLM3D platform, we propose a model to demonstrate how the interaction with intelligent agents allows getting an effective collaborative learning using the platform Second Life to non-native in social issues as democracy and social development.
1. Model for Effective Collaborative
Learning in Virtual Worlds with
Intelligent Agents
Max Ugaz, Augusto Bernuy
Presenter: Max Ugaz (Maximo Eames)
Virtual Worlds Best Practices in Education
2013: Beyond the Stage – July 24th to 27th
2. Shared Spaces Technologies
A new model based on...
Virtual Worlds relationship with the intellectual
capital, effective team collaboration and user
actions based on their interest.
3. Proposal
A Model that shows interaction with intelligent
agents, allows getting an effective
collaborative learning using the platform
Second Life to non-native in social issues as
democracy and social development.
4. Intellectual Capital
"Can not be touched but it can make
money for the company."
"Is the search for effective use of
knowledge."
"Represents the collective intangible
assets that can be identified and
measured."
9. Intelligent Distributed Control Systems
based on Agents (SCDIA)
Measurement Agent
Controller Agent
Coordinator Agent
Actuator Agent
Specialized Agents
10. Multi-User Virtual Environments - MUVEs
The use of automated agents conversation with
artificial intelligence capabilities can develop
more interaction with people from identifying
their human and emotional profiles.
12. Intelligent Agents
Intelligent agent is a software entity, that based
on its knowledge (observing and imitating,
receiving feedback, receiving instructions,
asking to other agents), performs a task.
13. Intelligent Agents
Domain Classifications
Field of
action
1) Desktop Agents (OS agents, application agents,
etc.).
2) Internet Agents (search agents, filtering, information
retrieval, reporting agents, mobile agents, etc.).
3) Intranet Agents (Customization cooperative agents,
database agents, process automation agents, etc..).
Function 1) System Agents, 2) Filtering agents, 3) Profiles
Agents; 4) Monitoring Agents, 5) Recommendation
Agents, among others
14. Collaboration and team learning in virtual
worlds
Capabilities of virtual worlds support team
collaboration based on:
1. 3D environment itself.
2. The avatars based interaction through which
all communications in virtual environments
are performed.
15. Proposal for collaborative learning in virtual
worlds
Capabilities of virtual worlds for collaborative
teams can effectively support collaborative
learning.