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ADeNu Research Group A component to carry out the Logical Framework Approach in dotLRN Alberto Bayón Olga C. Santos Jesús G. Boticario.

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Presentation on theme: "ADeNu Research Group A component to carry out the Logical Framework Approach in dotLRN Alberto Bayón Olga C. Santos Jesús G. Boticario."— Presentation transcript:

1 aDeNu Research Group http://adenu.ia.uned.es A component to carry out the Logical Framework Approach in dotLRN Alberto Bayón Olga C. Santos Jesús G. Boticario

2 aDeNu Research Group http://adenu.ia.uned.es 2 Objectives A component to carry out the LFA in dotLRN Outline of the Presentation LFA: Logical Framework Approach Designing and Architecture Conclusion

3 aDeNu Research Group http://adenu.ia.uned.es 3  Collaborative Learning Environment  Web-Based Context  Real Collaboration Among Students  Intelligence Learning Management System (iLMS) Objective SERVICES  Forums  Surveys  Storage Area  Email ... ADAPTATION  Interaction Analysis  Suggestions Facility  Improve Effectiveness  Adapting to Student’ Needs  Logical Framework Approach  Collaborative Extension of LFA

4 aDeNu Research Group http://adenu.ia.uned.es 4 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

5 aDeNu Research Group http://adenu.ia.uned.es 5 Collaborative Logical Framework OpenACS/dotLRN package CLF Architecture  INTERACTION MODULE (I.M.) Environment to Execute the Course Sequence of LFA Phases Collaborative 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.

6 aDeNu Research Group http://adenu.ia.uned.es 6 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

7 aDeNu Research Group http://adenu.ia.uned.es 7 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

8 aDeNu Research Group http://adenu.ia.uned.es 8 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 Indicators Passive Data TA M Active Data OpenAcs.LRN

9 aDeNu Research Group http://adenu.ia.uned.es 9 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

10 aDeNu Research Group http://adenu.ia.uned.es 10 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 …

11 aDeNu Research Group http://adenu.ia.uned.es 11 Screenshots

12 aDeNu Research Group http://adenu.ia.uned.es 12 Screenshots

13 aDeNu Research Group http://adenu.ia.uned.es 13 Screenshots

14 aDeNu Research Group http://adenu.ia.uned.es 14 Questions

15 aDeNu Research Group http://adenu.ia.uned.es 15 A component to carry out the LFA in dotLRN abayval@yahoo.es ocsantos@dia.uned.es jgb@dia.uned.es

16 aDeNu Research Group http://adenu.ia.uned.es 16 States of Answers & Workflow

17 aDeNu Research Group http://adenu.ia.uned.es 17 CLF Class Diagram


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