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Pedagogical agents   T he experience  of Consorzio FOR.COM.   Mikail Feituri ICT manager Consorzio FOR.COM. Rome, 23 October 2008
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Intelligent agent
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Pedagogical agent
Parmenide project ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Platform
BEHIND THE PILOT APPLICATION  ,[object Object],[object Object],[object Object]
[object Object],[object Object],FUZZY LOGIC
First Fuzzy inference engine FIS 1 Importance Difficulty Fastness Correct / Incorrect Knowledge depth It defines a learning path for the student
[object Object],[object Object],[object Object],[object Object],Knowledge depth
It provides the score carried out by a user when he / she answered a question.  Second Fuzzy inference engine FIS 2 Importance Difficulty Fastness Correct / Incorrect Score
It defines the verbal and non verbal tutor behaviour  FIS 3 Cumulative score Knowledge Depth (if answer is right) Verbal and non verbal behaviour (facial expressions) Score (if answer is wrong) Third Fuzzy inference engine
[object Object],[object Object],[object Object],Verbal behaviour
[object Object],[object Object],[object Object],Non   Verbal behaviour
[object Object],[object Object],[object Object],Non   Hysterical behaviour
Remarks and improvements ,[object Object],[object Object],[object Object]
Looking ahead: T 2  project ,[object Object],[object Object]
Looking ahead: COACH BOT   project ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Pedagogical Agents and Intelligent Tutoring Systems

  • 1. Pedagogical agents T he experience of Consorzio FOR.COM. Mikail Feituri ICT manager Consorzio FOR.COM. Rome, 23 October 2008
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7. First Fuzzy inference engine FIS 1 Importance Difficulty Fastness Correct / Incorrect Knowledge depth It defines a learning path for the student
  • 8.
  • 9. It provides the score carried out by a user when he / she answered a question. Second Fuzzy inference engine FIS 2 Importance Difficulty Fastness Correct / Incorrect Score
  • 10. It defines the verbal and non verbal tutor behaviour FIS 3 Cumulative score Knowledge Depth (if answer is right) Verbal and non verbal behaviour (facial expressions) Score (if answer is wrong) Third Fuzzy inference engine
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.