www.tao.lu

1. TAO
TAO Future versions
Patrick.plichart@tudor.lu
Tao Days 2011, Mar 30-31, Luxembourg

2. Conclusion
Introduction

4. Conclusion
Introduction
Intro
 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. Conclusion
Roadmap
Intro
 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.

7. Conclusion
Roadmap
Intro
 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

8. Conclusion
Roadmap
Intro
 Main focus : Adress Scalability issues
 TAO Issue

9. Conclusion
Roadmap
Intro
 Main focus : Adress Scalability issues
Methods and tools for Systematic Benchmarking
 Jmeter, simulate large scale sollicitation

10. Conclusion
Roadmap
Intro
 Main focus : Adress Scalability issues
Methods and tools for Systematic Benchmarking
 Xdebug, WebGrind : optimize code

11. Conclusion
Roadmap
Intro
 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

12. Conclusion
Roadmap
Intro
 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

13. Conclusion
Roadmap
Intro
 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

14. Conclusion
Roadmap
Intro
 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

15. Conclusion
Roadmap
Intro
 Main focus : Security
 Issues
 Test taker identification
Psychometric validity (Control environment)
 Cheating
 Items/tests Disclosure
 Data privacy
 Reliability

16. Conclusion
Roadmap
Intro
 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

17. Conclusion
Roadmap
Intro
 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

18. Conclusion
Roadmap
Intro
 Main focus : New forms of testing, New devices

19. Intro
Roadmap
Conclusion

21. Conclusion
How to contribute ?
Intro
http://forge.tao.lu/

22. Conclusion
How to contribute ?
Intro
http://forge.tao.lu/

23. 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.

24. contact@tao.lu