最新USING EXPERT SYSTEMS TECHNOLOGY FOR STUDENT hc
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The learning page of the selected subsection is currently presented in the content area (which resides at the centre and the right part of the screen).
However, a few of them use an expert system approach
3
Introduction (2)
To help the students and the tutors in our Department, we constructed an intelligent e-learning system to assist learning and teaching in the context of the course of Artificial Intelligence (course 451).
The system provides means to the tutors for constructing questions and tests in a structured way. Also, with the help of an expert system, evaluates the students and provide useful statistics to the tutor.
That is, for each concept, the theory is first presented. Then, some examples are given. Finally, the student is called to make some exercises.
The student is also not forced to follow the system’s way of teaching, but he can make his own choices for studying. For example, one can jump to complex concepts without having had a look at simpler ones. In many concept pages there are links to other concepts that are prerequisite to the concept of the page.
and ✓ the Virtual Agent (VA)
5
System Architecture(2)
•SM contains all the information about students, like their preferences, interests, knowledge level, etc •TU is responsible for the teaching process. A student can select a learning goal from the domain knowledge tree •The main goal of EU is to evaluate student's progress due to his/her interaction with the system. This evaluation is achieved through testing. •VA has as main goal to motivate the students and improve system's effectiveness. In our case, VA is an avatar (called Merlin) that provides information to the students in a natural and recreating way. To achieve this, VA gets information from the SM and communicates with the student in the same way that a human tutor would do.
explanation and a hint (to help the student to answer correctly).
11
Screen for Question Creation
(Chapter) (Section) (Subsection) (Concept) (Difficulty level)
The most important part of teaching material management is the management of the questions. A question is considered as a structured object that consists of the following parts:
The system consists of five units:
✓ the Identification Unit (IU), ✓ the Student Model (SM), ✓ Stereotypes for initial
student profile ✓ the Tutoring Unit (TU), ✓ the Evaluation Unit (EU)
From that tree the student can choose a learning goal (subsection).
Each subsection corresponds to a learning page, which is a php page. That is, only subsections correspond to displayable material.
Answer1-4
Mark1-4
Explanation1-4
12
6. Student Evaluation
A student can be evaluated at two levels: (a) the concept-level and (b) the topic-level. The concept-level evaluation deals with the level of
the name of the question the body of the question, the concept it concerns (as well as its corresponding path in the
domain tree), its difficulty level (one of easy, medium and difficult), its possible answers (1 to 4) each followed by a mark and an
6
Info-bar
User Interface
Content area
Navigation area
Start – Previous - next
www.mmlab.ceid.upatras.gr/aigroup/undergrad/
7
3. Domain Knowledge
Subject
Chapter 1
9
4. Learning Process
The learning method (implicitly followed) is based on the traditional theory-examples-exercises paradigm (although the user can follow his own method).
2
1. Introduction
Web-based intelligent educational systems (WBIESs) use Artificial Intelligence (AI) Techniques in order to adapt mainly to student needs for self-study.
Outline
1. Introduction 2. System Architecture 3. Domain Knowledge 4. Learning Process 5. Domain Knowledge Management 6. Student Evaluation 7. Helping the Tutor 8. Implementation issues 9. Conclusion
…
Chapter N
Section 1
…
Section N
Subsection 1
…
Subsection N
Concept 1
…
Concept N
The domain k subsections level, is displayed in the navigation area of the user interface (at the left side of the screen).
10
5. Domain Knowledge
Management
The system offers to the tutor the capability of domain knowledge management. The tutor can deal with management of the domain tree and the teaching material (learning pages, concept pages, questions and tests).
Each learning page is associated with a test. Each test consists of a number of multiple choice
type questions that examine the concepts of the associated learning page.
An important function of such systems is student evaluation, which provides results for adapting to both the students and the tutor. There are many techniques used for student evaluation.
Each learning page deals with a number of concepts.
Each concept is linked to the corresponding concept page. Concept pages constitute the real teaching material.
4
2. System Architecture
Identification Unit (IU)
Stereotypes
Student Model (SM)
Expert System (ES)
Tutoring Unit (TU)
Evaluation Unit (EU)
Virtual Agent (VA)
8
Domain Knowledge(2)
The teaching material, apart from concept pages, however, includes all the available questions, which are stored in a database and are used for the creation of the tests.
However, a few of them use an expert system approach
3
Introduction (2)
To help the students and the tutors in our Department, we constructed an intelligent e-learning system to assist learning and teaching in the context of the course of Artificial Intelligence (course 451).
The system provides means to the tutors for constructing questions and tests in a structured way. Also, with the help of an expert system, evaluates the students and provide useful statistics to the tutor.
That is, for each concept, the theory is first presented. Then, some examples are given. Finally, the student is called to make some exercises.
The student is also not forced to follow the system’s way of teaching, but he can make his own choices for studying. For example, one can jump to complex concepts without having had a look at simpler ones. In many concept pages there are links to other concepts that are prerequisite to the concept of the page.
and ✓ the Virtual Agent (VA)
5
System Architecture(2)
•SM contains all the information about students, like their preferences, interests, knowledge level, etc •TU is responsible for the teaching process. A student can select a learning goal from the domain knowledge tree •The main goal of EU is to evaluate student's progress due to his/her interaction with the system. This evaluation is achieved through testing. •VA has as main goal to motivate the students and improve system's effectiveness. In our case, VA is an avatar (called Merlin) that provides information to the students in a natural and recreating way. To achieve this, VA gets information from the SM and communicates with the student in the same way that a human tutor would do.
explanation and a hint (to help the student to answer correctly).
11
Screen for Question Creation
(Chapter) (Section) (Subsection) (Concept) (Difficulty level)
The most important part of teaching material management is the management of the questions. A question is considered as a structured object that consists of the following parts:
The system consists of five units:
✓ the Identification Unit (IU), ✓ the Student Model (SM), ✓ Stereotypes for initial
student profile ✓ the Tutoring Unit (TU), ✓ the Evaluation Unit (EU)
From that tree the student can choose a learning goal (subsection).
Each subsection corresponds to a learning page, which is a php page. That is, only subsections correspond to displayable material.
Answer1-4
Mark1-4
Explanation1-4
12
6. Student Evaluation
A student can be evaluated at two levels: (a) the concept-level and (b) the topic-level. The concept-level evaluation deals with the level of
the name of the question the body of the question, the concept it concerns (as well as its corresponding path in the
domain tree), its difficulty level (one of easy, medium and difficult), its possible answers (1 to 4) each followed by a mark and an
6
Info-bar
User Interface
Content area
Navigation area
Start – Previous - next
www.mmlab.ceid.upatras.gr/aigroup/undergrad/
7
3. Domain Knowledge
Subject
Chapter 1
9
4. Learning Process
The learning method (implicitly followed) is based on the traditional theory-examples-exercises paradigm (although the user can follow his own method).
2
1. Introduction
Web-based intelligent educational systems (WBIESs) use Artificial Intelligence (AI) Techniques in order to adapt mainly to student needs for self-study.
Outline
1. Introduction 2. System Architecture 3. Domain Knowledge 4. Learning Process 5. Domain Knowledge Management 6. Student Evaluation 7. Helping the Tutor 8. Implementation issues 9. Conclusion
…
Chapter N
Section 1
…
Section N
Subsection 1
…
Subsection N
Concept 1
…
Concept N
The domain k subsections level, is displayed in the navigation area of the user interface (at the left side of the screen).
10
5. Domain Knowledge
Management
The system offers to the tutor the capability of domain knowledge management. The tutor can deal with management of the domain tree and the teaching material (learning pages, concept pages, questions and tests).
Each learning page is associated with a test. Each test consists of a number of multiple choice
type questions that examine the concepts of the associated learning page.
An important function of such systems is student evaluation, which provides results for adapting to both the students and the tutor. There are many techniques used for student evaluation.
Each learning page deals with a number of concepts.
Each concept is linked to the corresponding concept page. Concept pages constitute the real teaching material.
4
2. System Architecture
Identification Unit (IU)
Stereotypes
Student Model (SM)
Expert System (ES)
Tutoring Unit (TU)
Evaluation Unit (EU)
Virtual Agent (VA)
8
Domain Knowledge(2)
The teaching material, apart from concept pages, however, includes all the available questions, which are stored in a database and are used for the creation of the tests.