The design and implementation of user behavior mining in E-learning system

Author(s):  
Bo Han ◽  
Xing-Wei Hao ◽  
Chao-Feng Liu
2020 ◽  
Vol 2 (1-4) ◽  
pp. 17-28
Author(s):  
Adeyemi R. Ikuesan ◽  
Mazleena Salleh ◽  
Hein S. Venter ◽  
Shukor Abd Razak ◽  
Steven M. Furnell

AbstractThe prevalence of HTTP web traffic on the Internet has long transcended the layer 7 classification, to layers such as layer 5 of the OSI model stack. This coupled with the integration-diversity of other layers and application layer protocols has made identification of user-initiated HTTP web traffic complex, thus increasing user anonymity on the Internet. This study reveals that, with the current complex nature of Internet and HTTP traffic, browser complexity, dynamic web programming structure, the surge in network delay, and unstable user behavior in network interaction, user-initiated requests can be accurately determined. The study utilizes HTTP request method of GET filtering, to develop a heuristic algorithm to identify user-initiated requests. The algorithm was experimentally tested on a group of users, to ascertain the certainty of identifying user-initiated requests. The result demonstrates that user-initiated HTTP requests can be reliably identified with a recall rate at 0.94 and F-measure at 0.969. Additionally, this study extends the paradigm of user identification based on the intrinsic characteristics of users, exhibited in network traffic. The application of these research findings finds relevance in user identification for insider investigation, e-commerce, and e-learning system as well as in network planning and management. Further, the findings from the study are relevant in web usage mining, where user-initiated action comprises the fundamental unit of measurement.


2017 ◽  
Vol 12 (2) ◽  
pp. 43
Author(s):  
Maimuzar - ◽  
Nasrul -

We-based e-Learning System can be used to support lecture’s activity. Lecturer as a teacher need a servise of the Sistim which suitable for their activities. Lecturer’s activities consist of delivering materials, discussion and interaction with their students. Because of that the aplication design is needed to support the activities of lectures.             Designing the web based e-Learning System is intended to give a service on the lecture. Lecture can do their teaching activities, delivering the materials and administering it using this e-Learning aplication. From the student side, they have to receive the materials easily from anywhere at anytime. This research have an objective to design a web based e_learning System which give an adequate service supporting the lecturer’s activities. Lecture can use this aplication ti deliver their materials, communicating and interacting with their student, observing the progress of students and give result of learning evaluation from the web.             The design and implementation of this e-learning application is based on the requirement of the users. The users consist of lecturer, student, quest, and administrator. The process of aplication design is built within Sistimatical stages. After finishing the design process, the aplication is implemented on the real Sistim. Doing the design testing and functional is to test if the aplication can go well together with design and funtionality.e-Learnign aplication that has been built is designed based on lecturer’s need when doing their lecture’s activities. This e-Learning aplication can be used as contribution for building new aplication or5 improving others that has already exist.


Author(s):  
Yue Ming ◽  
Zhenjiang Miao

This chapter was inspired by the work of the designers of a Mandarin language e-learning as they attempted to find the best solution to deal with the problems occurring in e-learning. E-Learning environments designated to facilitate long-distance learning are gaining popularity. Pervasive computing has a great potential for many next-generation IT applications. The authors describe pervasive computing system design and implementation for Mandarin e-learning. The authors propose a Human-centered Pervasive Computing System Model (HPC) and Layered Architecture Analysis and Design Method (LAAD). Based on the HPC model and LAAD method, a pervasive computing based Mandarin e-Learning system is designed and implemented. They particularly focus on Mandarin pronunciation learning which estimates the intelligibility of foreign learners’ speech and ranks their errors from the view point of improving their intelligibility. Its design and implementation issues are discussed in details.


Author(s):  
Amira Fatiha Baharudin ◽  
Noor Azida Sahabudin ◽  
Adzhar Kamaludin

Currently, e-learning is becoming an option as it can save the cost of education, time, and more flexible in its implementation. The main problem that arises is how to create e-learning content that is interesting and really fit the needs of the users. One way that can be done to optimize the content of e-learning is to analyze the user behavior. This study aims to analyze user (student) behavior in KALAM UMP, based on logs report (activity history), which is often called as behavioral tracking. First, the learning style of the students is determined based on Honey and Mumford Learning Styles Model by using Learning Styles Questionnaire. The analysis is done using SPSS 16.0 for Windows. The results shows that student with Reflector and Theorist learning styles access e-learning materials the most. From Spearman Correlation analysis, the relationship between learning styles and students’ behavior in e-learning is found to be very weak (r<sub>s</sub>=.276, p=.000), but statistically significant (p&lt;0.05). In other words, students’ learning styles and behavior in e-learning have significant impacts on the improvement or degradation of students’ performance. Therefore, from the results of this study, an adaptive KALAM e-learning system which can suits the learning styles of UMP students is proposed. In adaptive e-learning system, students can access learning materials that match the students' learning needs and preferences.


Author(s):  
Richard Y.D. Xu ◽  
Jesse S. Jin

This article presents a schematic application of computer vision technologies to e-learning that is synchronous, peer-to-peer-based, and supports an instructor’s interaction with non-computer teaching equipments. The article first discusses the importance of these focused e-learning areas, where the properties include accurate bidirectional interaction and low cost hardware; system portability and versatile vision technology are emphasized. In the subsequent sections, we present some results aiming to achieve these goals. In particular, we highlight the most recent advancements in the interactive PTZ camera control from both the instructor and remote student. We also illustrated how these results have successfully addressed the challenges.


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