Supporting Competence Development Processes on Open Learning Systems through Personalization - PowerPoint PPT Presentation

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Supporting Competence Development Processes on Open Learning Systems through Personalization

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IMS-LIP. EM Collaborative Cluster Level. Specific. Competences ... IMS-LD identifier /identifier type forum /type auto no /auto enable no /enable ... – PowerPoint PPT presentation

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Title: Supporting Competence Development Processes on Open Learning Systems through Personalization


1
Supporting Competence Development Processes on
Open Learning Systems through Personalization
1
Group of Broadband Communications and Distributed
Systems Institute of Informatics and Applications
University of Girona
2
Overview
2
  • 1. Context
  • 2. Proposal
  • - User modeling
  • - Adaptation Process
  • Proposal Description
  • - Specific competences adaptation
  • - Learning style adaptation
  • - Collaborative competences adaptation
  • - Context adaptation
  • - Communication scheme
  • Future work

3
Context
3
  • Heterogeneity in learning preferences.
  • Skill levels acquired and desired.
  • Heterogeneity in access technology.

User interactions
User technology
User preferences
4
Context
4
  • Adaptive Hypermedia Systems
  • Learning Management Systems

Through certain adaptation methods and
techniques, these systems try to personalize the
learning process in the context of virtual
learning environments, therefore the contents,
training activities, services, and evaluation of
learning process would be delivered to the
student, adjusted to certain relevant individual
characteristics.
System designed to track the interaction with
educational contents and manage the interaction
mechanisms with the system, including navigation,
selection of educational activities and the
connection to contents distribution.
5
Proposal
5
Adaptive Hypermedia Systems
Learning Management Systems
ADAPTIVE LEARNING PLATFORM
6
Proposal
6
  • User Modeling
  • Learning style
  • Collaborative competence
  • Specific competence
  • Context, and Others as Human Values

Machine Learning Techniques Collaborative
Filtering
1
  • Adaptation Process
  • Platform Independent
  • Standards Based

Machine Learning Techniques Agents Technology
2
  • User Model Service
  • Standards Based

Agents Negotiations
3
7
User modeling
7
  • Platform Tool
  • Assessment
  • Forum
  • Chat

Specific and collaborative Competence Profile
  • Specific competences
  • Collaborative competences
  • Learning style
  • Context

IMS-Learner Information Package Service
Learning Style Profile
Access Device Profile
Platform Tool Felder ILS
Platform Tool CC/PP-UAProf Repository
8
ADAPTATION PLATFORM
DATA STRUCTURE
DATA STRUCTURE
LEARNING DESIGN
Automated Learning Design
TRACKER IMS LS
Learning Style Adapter
Postgres DB
IMS LEARNING DESIGN PLAYER
Specific Competences Adapter
User Model IMS-LIP
Collaborative Competences Adapter
  • Interactions
  • Forums
  • Chat
  • Email

DISPATCHER
C4.5 Learning Resource Decision Tree
PRESENTATION LAYER
Assigments IMS-QTI Portfolio
EM Collaborative Cluster Level
Session
Server Log (User Tracking .Package)
8
8
9
Specific competences adaptation
Student
Professor
IMS MD (resources metadata)
Resources (learning evaluation)
Planning Engine (PDDL)
IMS-RDECO (competences)
LMS dot.LRN, MOODLE
IMS-LIP (user profile)
updating competences level
10
Learning style adaptation
Planning Engine (PDDL)
11
Collaborative competences adaptation
Planning Engine (PDDL)
Collaborative Competences Adapter
AolServer Logs
12
Context adaptation
Planning Engine (PDDL)
Context Adapter
UAProf CC/PP device profile repository
13
Communication Scheme
TOMCAT Servlet Server
MAIN ADAPTER
XML-RPC
dotLRN
14
Future work
14
ADAPTAPlan Accessibility for All
A2UN_at_ project (TIN2005-08945-C06-00).
15
Future work
15
  • User Modeling to address specials needs of the
    people.
  • Accessibility for All
  • Accessible Learning Objects
  • Accessible Learning Objects Repositories
  • New Techniques for Competence Assessments

16
  • THANKS

16
Group of Broadband Communications and Distributed
Systems Institute of Informatics and Applications
University of Girona
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