TAO DAYS - ROADMAP

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TAO DAYS - ROADMAP

  1. 1. TAO TAO Future versions Patrick.plichart@tudor.luTao Days 2011, Mar 30-31, Luxembourg
  2. 2. ConclusionIntroduction
  3. 3. Conclusion IntroductionIntro  TAO is built on Knowledge technologies : Generis  Tao benefits from Generis roadmap K Use K Communication K Discovery K Maintenance Knowledge Use K Representation Knowledge Use Knowledge Discovery
  4. 4. Conclusion RoadmapIntro  Main focus : Adress Scalability issues  Issues  Sommative assessment, High Stakes testing  Psychometric validity  Technical challenges  Studies/surveys/monitoring projects involve large scale use  Capacity sollicitation not uniform  Beyond the capacity limit, performances collapse.
  5. 5. Conclusion RoadmapIntro  TAO is built on Knowledge technologies : Generis  Tao benefits from Generis roadmap K Use K Communication K Discovery K Maintenance Knowledge Use K Representation Knowledge Use Knowledge Discovery
  6. 6. Conclusion RoadmapIntro  Main focus : Adress Scalability issues  TAO Issue
  7. 7. Conclusion RoadmapIntro  Main focus : Adress Scalability issues Methods and tools for Systematic Benchmarking  Jmeter, simulate large scale sollicitation
  8. 8. Conclusion RoadmapIntro  Main focus : Adress Scalability issues Methods and tools for Systematic Benchmarking  Xdebug, WebGrind : optimize code
  9. 9. Conclusion RoadmapIntro  Main focus : Adress Scalability issues Methods and tools for Systematic Benchmarking Selenium Tests : check user experience, test automation Decision Systems/Information to CBA managers Identify CBA relevant attributes  Capacity / feasibility
  10. 10. Conclusion RoadmapIntro  Main focus : Adress Scalability issues Experimentations on Knowledge Representation Layer  Experiment Clustered Database (PostgreSql)  Experiment Knowledge Base migration to a classical relationnal database  Design time ~ Production Time Data partitionning  DBMS Indexes
  11. 11. Conclusion RoadmapIntro  Main focus : Adress Scalability issues Experimentations on Knowledge Representation Layer  Experiment other rdf repositories  Experiment Prolog as knowledge base  WorkFlowEngine Optimization Branching Rules Inference Rules
  12. 12. Conclusion RoadmapIntro  Main focus : Advanced Tests and Results  Test Open Web Tests.  Define Bag of items and item selection policy (Random, Erandom, Information Quantity, User-defined), halt criteria  Embed Tests in other test (sub-Processes management)  Design tests easily : authoring tool  Layout tests  Time Management  Add web activities.  Results  Rpad  Feedback
  13. 13. Conclusion RoadmapIntro  Main focus : Security  Issues  Test taker identification Psychometric validity (Control environment)  Cheating  Items/tests Disclosure  Data privacy  Reliability
  14. 14. Conclusion RoadmapIntro  Main focus : Security  Test and Item security  Authentication Extend authentification possibilities (Login/Password, LDAP directory, proctoring, fingerprint, smart cards)  Controlled test delivery  Experiment test delivery including customized version of a web browser  Item exposure control  Analyse log of behaviors using rule patterns
  15. 15. Conclusion RoadmapIntro  Main focus : Security  Communication channels and private data security  HTTPS  Rights Access Management Layer (Generis) K Communication K Discovery K Maintenance Knowledge Use K Representation Knowledge Discovery
  16. 16. Conclusion RoadmapIntro  Main focus : New forms of testing, New devices
  17. 17. Intro RoadmapConclusion
  18. 18. Conclusion How to contribute ?Intro http://forge.tao.lu/
  19. 19. Conclusion How to contribute ?Intro http://forge.tao.lu/
  20. 20. Intro  Tao depends and benefits from generis roadmap  New versions of TAO will adress Scalability, CBA processes requirements, security and new forms of testing.  You may contribute to the roadmap.
  21. 21. contact@tao.lu

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