adenu research group a component to carry out the logical framework approach in dotlrn alberto...
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aDeNu Research Group http://adenu.ia.uned.es
A component to carry out the Logical Framework Approach in dotLRN
Alberto BayónOlga C. Santos
Jesús G. Boticario
2aDeNu Research Group http://adenu.ia.uned.es
Objectives
A component to carry out the LFA in dotLRN
Outline of the Presentation
LFA: Logical Framework Approach
Designing and Architecture
Conclusion
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Collaborative Learning Environment
Web-Based Context Real Collaboration Among Students Intelligence Learning Management System (iLMS)
Objective
SERVICES
Forums Surveys Storage Area Email . . .
ADAPTATION
Interaction AnalysisSuggestions Facility Improve EffectivenessAdapting to Student’
Needs
Logical Framework Approach
Collaborative Extension of LFA
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LFA: Logical Framework Approach
Objective Oriented Planning Methodology
International Development Agencies and NGOs
Development Cooperation and International Aid Projects
WHAT?
WHO?
WHY?
HOW?1. Stakeholder Analysis
2. Problem Analysis
3. Objectives Analysis
4. Alternative Analysis
5. Project Planning Matrix
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Collaborative Logical Framework
OpenACS/dotLRN package
CLF Architecture
INTERACTION MODULE (I.M.)Environment to Execute the Course
Sequence of LFA PhasesCollaborative Extension of LFA
MACHINE LEARNING MODULE (M.L.M.) User Model Definition (u.m.)
Students Activity Monitoring
Learners Performance Classification
Machine Learning Algorithms
ADAPTIVE MODULE (A.M.)Adapted Recommendations for All Users
Encourage to Collaborate
Help the Students in their Tasks
I.M. M.L.M.
u.m.
A.M.
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Interaction Module
INDIVIDUALLY
Work Alone
Answer the Questions
Reveal the Answer
New Thread in Forum
IM Implements the Collaborative Extension of LFA
Defined by aDeNu to Achieve Real Collaboration
Students Arranged in Small Groups
Working in Three Ways in All LFA Phases
COLLABORATIVELY
Access to Other Solutions
Rate Colleagues’ Answers
Post Comments in Forums
Create Versions
IN AGREEMENT
Moderator Selection
Create Consensus
Moderator Works Individually
Colleagues Work Collaboratively
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Course, Phases, Tasks, Answers
User Management
Answer Life Cycle
Versions
Threads and Forums
Rating Facility
Questions
Scheduled tasks
Interaction Module
FUNCIONALITY
CLF package
Parties, Groups, Permissions
Workflow
Content Repository (Revisions)
Forums
Ratings
Survey
Cronjob
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Machine Learning Module - User Model
Data Mining Techniques for Forums, Versions & Ratings
Active Data: Taken from .LRN/OpenACS Database
Passive Data: Use of TAM, Web Track Auditing Management Tool
Indicators Define the Learners’ Profiles
Active Indicators: Participative, Insightful, Useful,Non-collaborative,
With-Initiative, Communicative
Passive Indicators: Thinker-out, Unsecure, Gossip, Inspirable, Inspirator, Thorough
Active Indicators
Passive IndicatorsPassive DataTAM
TAM
Active DataOpenAcs
.LRN
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Adaptive Module – Recommender System
Periodic Calculation of Learners’ Profiles Using Machine Learning
Weka Data Mining Provides Classification Algorithms
A.M. Generates Suggestions (Recommender System Package)
Recommendations Help the Students to Enhance their Performance
Suggest rating or reading other answers
Suggest the communication with a colleague
Suggest using a specific tool
Active Indicators
Passive Indicators
CLASSIFICATION
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A component to carry out the LFA in dotLRN
CONCLUSION
Achievements
Implementing All Kind of Collaborative Activities
Learners Monitoring
GPL Licence
Contribution to OpenACS/dotLRN Community
Future Work
Integrating TAM, Weka and Recommender System Packages
Validation Planning Using CLF in a Pilot Course at UNED
Taking Part in other iLMS aDeNu Projects: Eu4all, Adaptaplan, aTODOS …
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Screenshots
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Screenshots
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Screenshots
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Questions
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A component to carry out the LFA in dotLRN
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States of Answers & Workflow
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CLF Class Diagram