tailieunhanh - Student modelling in adaptive e-Learning systems

Most e-Learning systems provide web-based learning so that students can access the same online courses via the Internet without adaptation, based on each student's profile and behavior. In an e-Learning system, one size does not fit all. Therefore, it is a challenge to make e-Learning systems that are suitably “adaptive”. The aim of adaptive e-Learning is to provide the students the appropriate content at the right time, means that the system is able to determine the knowledge level, keep track of usage, and arrange content automatically for each student for the best learning result. This study presents a proposed system which includes major adaptive features based on a student model. The proposed system is able to initialize the student model for determining the knowledge level of a student when the student registers for the course. After a student starts learning the lessons and doing many activities, the system can track information of the student until he/she takes a test. The student‟s knowledge level, based on the test scores, is updated into the system for use in the adaptation process, which combines the student model with the domain model in order to deliver suitable course contents to the students. In this study, the proposed adaptive e-Learning system is implemented on an “Introduction to Java Programming Language” course, using LearnSquare software. After the system was tested, the results showed positive feedback towards the proposed system, especially in its adaptive capability. | Knowledge Management E-Learning An International Journal . 342 Student Modelling in Adaptive E-Learning Systems Vatcharaporn Esichaikul School of Engineering and Technology Asian Institute of Technology Thailand E-mail vatchara@ Supaporn Lamnoi National Electronics and Computer Technology Center NECTEC Pathumthani 12120 Thailand E-mail Clemens Bechter Thammasat Business School Thammasat University Bangkok Thailand E-mail bechter@ Corresponding author Abstract Most e-Learning systems provide web-based learning so that students can access the same online courses via the Internet without adaptation based on each student s profile and behavior. In an e-Learning system one size does not fit all. Therefore it is a challenge to make e-Learning systems that are suitably adaptive . The aim of adaptive e-Learning is to provide the students the appropriate content at the right time means that the system is able to determine the knowledge level keep track of usage and arrange content automatically for each student for the best learning result. This study presents a proposed system which includes major adaptive features based on a student model. The proposed system is able to initialize the student model for determining the knowledge level of a student when the student registers for the course. After a student starts learning the lessons and doing many activities the system can track information of the student until he she takes a test. The student s knowledge level based on the test scores is updated into the system for use in the adaptation process which combines the student model with the domain model in order to deliver suitable course contents to the students. In this study the proposed adaptive e-Learning system is implemented on an Introduction to Java Programming Language course using LearnSquare software. After the system was tested the results showed positive feedback towards the proposed system especially in .

• Giáo dục học
• Student modelling
• Adaptive e Learning systems
• E Learning systems
• Adaptation process
• Adaptation techniques student mode
• BMC Veterinary Research
• Compassion fatigue
• Psychological wellbeing
• Team support
• Veterinary student