2. Outline :
- Overviw
- AI techniques and algorithms
- fuzzy logic
- Case based reasoning
- Rule-Based expert system
- Bayesian network
- Examples of application
- Conclusion
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3. Overviw :
What is Eeducation ?
Education is a defined as a way of learning and
acquiring information.
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4. What is Artificial intelligence and
education(AIED) ?
Refers to a research community that is interested
in the intersection of artificial intelligence research,
learning and education.
Overviw :
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5. Problem being solved in the chosen
topic?
To build the educational systems to be more
powerful and attractive to use or simulates the
teaching of an experienced teacher.
Overviw :
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6. AI programme will be:
•Supplementing the classroom
teaching.
•Substitute for the teacher.
Overviw :
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7. The impact of the internet :
After the growth and spread of the Internet
impact strongly on the relationship
between computer scientists
and education.
Overviw :
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8. What are AI techniques and
algorithms used in Education?
There are different methods are used by AIED (such as
Rule-Based expert system, fuzzy logic, case based
reasoning, Bayesian network, etc.) which is use in
educational systems
AI techniques and algorithms :
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9. • fuzzy logic:
A fuzzy cognitive map (FCM) is a graphical
representation of the knowledge about a given
system. Fuzzy cognitive mapping is a
combination of fuzzy logic and cognitive
mapping.
AI techniques and algorithms :
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10. • Case based reasoning:
Case-based reasoning (CBR) is the process of
solving new problems based on the solutions of
similar past problems.
AI techniques and algorithms :
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11. • Rule-Based expert system:
Rule-Based expert system is a knowledge-based
method. It tends to captures the knowledge of
domain experts into expressions that can be
evaluated as rules.
AI techniques and algorithms :
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12. • Bayesian network:
Bayesian network is a knowledge-based method. It is a
directed graph consists of nodes represents a random
variable and directed links between two nodes, each
node has a conditional probability distribution that
quantifies the effect of the parent in the node.
AI techniques and algorithms :
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13. Examples of application:
• Computer Aided Instruction:
Computer Aided Instruction (CAI) is the most
popular expert system and best application
those dealing with expert heuristics for solving
problems.
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14. • Learning Management Systems:
Learning Management Systems (LMS) are a web
based applications that present the educational
content at the right time and in the appropriate
format and assuring the interaction between the
student and the learning resources.
Examples of application:
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15. • Intelligent Tutoring System:
Intelligent Tutoring System (ITS)This is an expert system
was primarily developed to help first year engineering
student deep understanding of basic concepts to be
able to follow the more advanced topics in the
engineering fields.
Examples of application:
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16. • Intelligent Pascal Tutoring
System:
Intelligent Pascal Tutoring System (IPTS) - is specially used
for teaching Pascal computer language is Intelligent
Pascal Tutoring System (IPTS). This expert system is
used for independent teaching of Pascal to computer
scientists.
Examples of application:
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17. The original goal of AI was to develop techniques
which simulate human intelligence. So it has been
used widely in many areas. Education are one of
these area that applying artificial intelligence
techniques.
Conclusion:
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