Using Bayesian Networks to Detect Students’ Learning Styles in a Web-based education system
نویسندگان
چکیده
Students are characterized by different learning styles, focusing on different types of information and processing this information in different ways. One of the goals of a Web-based education system is that all the students can learn despite their different learning styles. To achieve this goal we have to detect how students learn. We propose the use of Bayesian Networks to detect the learning style of a student in a Web-based education system. The information obtained can be then used by an intelligent agent to provide personalized assistance to students, delivering teaching material that best fits students’ learning styles.
منابع مشابه
Evaluating Bayesian networks' precision for detecting students' learning styles
Students are characterized by different learning styles, focusing on different types of information and processing this information in different ways. One of the desirable characteristics of a Web-based education system is that all the students can learn despite their different learning styles. To achieve this goal we have to detect how students learn: reflecting or acting; steadily or in fits ...
متن کاملThe modeling of body's immune system using Bayesian Networks
In this paper, the urinary infection, that is a common symptom of the decline of the immune system, is discussed based on the well-known algorithms in machine learning, such as Bayesian networks in both Markov and tree structures. A large scale sampling has been executed to evaluate the performance of Bayesian network algorithm. A number of 4052 samples wereobtained from the database of the Tak...
متن کاملDisTriB: Distributed Trust Management Model Based on Gossip Learning and Bayesian Networks in Collaborative Computing Systems
The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...
متن کاملDisTriB: Distributed Trust Management Model Based on Gossip Learning and Bayesian Networks in Collaborative Computing Systems
The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...
متن کاملMidwifery Students’ Learning Styles in Iran: A Review Study Based on Kolb’s Learning Theory
Background: Identifying the factors that contribute to learning is one of the most important research goals. Learning style is one of these important and effective factors. The predominant learning styles of students in different universities of Iran are different. Objective: This study aimed to review the learning styles of midwifery students in Iran based on Kolb’s learning theory. Materia...
متن کامل