The Examination of User Habits through the Google Analytic Data of Academic Education Platforms

2014 ◽  
Vol 6 (2) ◽  
pp. 31-45 ◽  
Author(s):  
Zeki Özen ◽  
Fatma Önay Koçoğlu Bakioğlu ◽  
Şamil Beden
Keyword(s):  
Student Satisfaction ◽  
Web Mining ◽  
Academic Education ◽  
Student Behaviors ◽  
Web Traffic ◽  
Web Based ◽  
User Behaviors ◽  
Learning Success ◽  
User Data ◽  
The Web

A web-based Learning Management System (LMS) can have hundreds, or even thousands users, student, teacher, manager and normal user. The increase in the Web traffic of the LMS brings with it the problem of hardware and infrastructure capable to host this traffic, and therefore solutions suitable to developing technology are required. Due to this reason, it is very important for LMS developers and instructors to use web mining tools and/or using services such as Google Analytics ensuring the analysis and evaluation of user behaviors. In this study, the authors aim to analyse the Google Analytics data pertaining to 2011 year of the Enocta Akademik Eteacher, managu LMS (EAEP l user. The increase in the Web traffic of the LMS brings with it the problem of hardware and infrastructure capable to hostof LMS user data may be used while carrying out a detailed analysis of LMS and in the efforts to develop and improve LMS. The increase of student satisfaction and learning success may be ensured through making changes on LMS according to student behaviors.

BUILDING A KNOWLEDGE BASE FOR IMPLEMENTING A WEB-BASED COMPUTERIZED RECOMMENDATION SYSTEM

2007 ◽  
Vol 16 (05) ◽  
pp. 793-828 ◽  
Author(s):  
JUAN D. VELÁSQUEZ ◽  
VASILE PALADE
Keyword(s):  
Knowledge Base ◽  
Web Site ◽  
Web Mining ◽  
Recommendation System ◽  
The Internet ◽  
Web Pages ◽  
Web Based ◽  
Web Logs ◽  
Mining Tools ◽  
The Web

Understanding the web user browsing behaviour in order to adapt a web site to the needs of a particular user represents a key issue for many commercial companies that do their business over the Internet. This paper presents the implementation of a Knowledge Base (KB) for building web-based computerized recommender systems. The Knowledge Base consists of a Pattern Repository that contains patterns extracted from web logs and web pages, by applying various web mining tools, and a Rule Repository containing rules that describe the use of discovered patterns for building navigation or web site modification recommendations. The paper also focuses on testing the effectiveness of the proposed online and offline recommendations. An ample real-world experiment is carried out on a web site of a bank.

Discover Patterns from Web-Based Dataset

2017 ◽  
pp. 78-106
Author(s):  
Raghvendra Kumar ◽  
Priyanka Pandey ◽  
Prasant Kumar Pattnaik
Keyword(s):  
Web Site ◽  
Web Mining ◽  
Research Work ◽  
Web Content ◽  
Web Based ◽  
Web Structure ◽  
Information Matching ◽  
Varied Range ◽  
Conceptual Link ◽  
The Web

The Web can be defined as a depot of varied range of information present in the form of millions of websites dispersed around us. Often users find it difficult to locate the appropriate information fulfilling their needs with the abundant number of websites in the Web. Hence multiple research work has been conducted in the field of Web Mining so as to present any information matching the user's needs. The application of data mining techniques on web usage, web content or web structure data to find out useful data like users' way in patterns and website utility statistics on a whole can be defined as Web mining. The main cause behind development of such websites was to personalize the substance of a website on user's preference. New methods are developed to deal with a Web site using a link hierarchy and a conceptual link hierarchy respectively on the basis of how users have used the Web site link structure.

Web-Based Data Collection for Educational Research

2020 ◽  
pp. 152-172
Author(s):  
Erkan Tekinarslan ◽  
Melih Derya Gürer ◽  
Sedat Akayoğlu
Keyword(s):  
Data Collection ◽  
Educational Research ◽  
Selection Criteria ◽  
Web Mining ◽  
Online Survey ◽  
Web Based ◽  
Face To Face ◽  
The Face ◽  
The Web

Web-based surveys and web-based interviews are useful techniques to collect data through the web in educational research. In addition, web activities such as blogging, searching, and web mining have become quite convenient to collect and extract data from the web for research purposes. The purposes of this chapter are to describe and discuss techniques and tools for collecting and extracting data from the web for educational research purposes. First, a survey and a web-based or online survey are described and explained with examples. Second, web-based or online interviews, which are often similar to the face-to-face interview protocols are discussed and exemplified. After presenting the synchronous and asynchronous online interview tools, the selection criteria of the online interviewing tools are discussed. Lastly, this chapter describes and discusses web activities such as blogging, searching, and web mining to collect and extract data from the web.

Research on Data Mining Technology in Web Based on the Cloud Computing

2012 ◽  
Vol 532-533 ◽  
pp. 919-923 ◽  
Author(s):  
Feng Zhang ◽  
Li Liu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Web Mining ◽  
Information Service ◽  
Great Difficulty ◽  
Web Based ◽  
The Web ◽  
Better Than ◽  
Web Knowledge

To improve the data mining efficiency, analyzed existing algorithm for data mining.However,it has some uncertain knoledge are a major concern in data mining, it is great difficulty for data mining in web knoledge,which contains more uncertainty than an affirmatory one dees. In this paper, with web mining method based on the cloud computing analysis. One is the main issues related to the web knowledge problem are detaled, the other is the commonly used methods of handling web knowledge problems in data mining are reviewed, with a diseussion about a number of their known strength and weakness. This can be used to improve the quality of information service on web and can assist the web master to optimize site architec and increase visiting efficiency. The results of experiment show that it is better than that of the existing methods proposed in the literature.

Does the use of a Web-based Collaborative Platform reduces Cognitive Load and influence Project-based Student Engagement?

2021 ◽  
Author(s):  
Dokun Oluwajana ◽  
Ibrahim Adeshola ◽  
Seyefar Clement
Keyword(s):  
Student Engagement ◽  
Graduate Students ◽  
Collaborative Learning ◽  
Social Influence ◽  
Cognitive Load ◽  
Student Satisfaction ◽  
Web Based ◽  
Post Graduate ◽  
Collaborative Platform ◽  
The Web

Abstract The web-based supported collaborative learning is increasingly used to support student social activities in higher institutions. However, little is known about the factors of collaborative learning in a web-based supported learning environment. Therefore, this study examines the use of a web-based supported collaborative platform to enhance project-based student engagement. This research aims to determine the factors that determine collaborative learning and subsequent student satisfaction. Moreover, this research determines students' cognitive load understanding, social influence, and learner's motivation towards collaborative learning and the resultant impact of the web-based supported collaborative platform on student satisfaction. The data was collected from university post-graduate students who used the TRELLO platform. A total of 115 post-graduate students participated in this study, and the resulting data were analyzed based on partial least squares structural equation modelling statistical approach. The study results suggest that students’ social influence and motivation positively influence collaborative learning; directly and indirectly, students are satisfied with the use of a web-based supported collaborative learning platform to support project-based student engagement.

Deep Web Mining through Web Services

2011 ◽  
pp. 631-637
Author(s):  
Monica Maceli ◽  
Min Song
Keyword(s):  
Web Services ◽  
Web Mining ◽  
Ad Hoc ◽  
Deep Web ◽  
Web Pages ◽  
Web Content ◽  
Query Translation ◽  
Web Based ◽  
Inherent Nature ◽  
The Web

With the increase in Web-based databases and dynamically- generated Web pages, the concept of the “deep Web” has arisen. The deep Web refers to Web content that, while it may be freely and publicly accessible, is stored, queried, and retrieved through a database and one or more search interfaces, rendering the Web content largely hidden from conventional search and spidering techniques. These methods are adapted to a more static model of the “surface Web”, or series of static, linked Web pages. The amount of deep Web data is truly staggering; a July 2000 study claimed 550 billion documents (Bergman, 2000), while a September 2004 study estimated 450,000 deep Web databases (Chang, He, Li, Patel, & Zhang, 2004). In pursuit of a truly searchable Web, it comes as no surprise that the deep Web is an important and increasingly studied area of research in the field of Web mining. The challenges include issues such as new crawling and Web mining techniques, query translation across multiple target databases, and the integration and discovery of often quite disparate interfaces and database structures (He, Chang, & Han, 2004; He, Zhang, & Chang, 2004; Liddle, Yau, & Embley, 2002; Zhang, He, & Chang, 2004). Similarly, as the Web platform continues to evolve to support applications more complex than the simple transfer of HTML documents over HTTP, there is a strong need for the interoperability of applications and data across a variety of platforms. From the client perspective, there is the need to encapsulate these interactions out of view of the end user (Balke & Wagner, 2004). Web services provide a robust, scalable and increasingly commonplace solution to these needs. As identified in earlier research efforts, due to the inherent nature of the deep Web, dynamic and ad hoc information retrieval becomes a requirement for mining such sources (Chang, He, & Zhang, 2004; Chang, He, Li, Patel, & Zhang, 2004). The platform and program-agnostic nature of Web services, combined with the power and simplicity of HTTP transport, makes Web services an ideal technique for application to the field of deep Web mining. We have identified, and will explore, specific areas in which Web services can offer solutions in the realm of deep Web mining, particularly when serving the need for dynamic, ad-hoc information gathering.

MAMA on the Web

2008 ◽  
pp. 3142-3156
Author(s):  
Barbara A. Schuldt
Keyword(s):  
World Wide ◽  
Technology Innovation ◽  
Ethical Issues ◽  
Ethical Dilemmas ◽  
Ethical Considerations ◽  
Web Based ◽  
User Behaviors ◽  
The World ◽  
The Individual ◽  
The Web

This chapter introduces ethical considerations that are especially relevant for the current networked world. It discusses the use of a mnemonic, MAMA — multicultural, adaptive, multifaceted, and archival — as a way to categorize ethical issues as we discover and discuss them today and in the future. By using these categories, the reader can evaluate how the Internet and, more specifically, the World Wide Web (Web) create new ethical concerns as information technology innovation and users drive new Web-based applications and discoveries. In addition, this chapter will pose key ethical questions that will help stimulate the reader to think about Web ethics. In thinking about these questions the reader will explore and hopefully discover his or her own past learned user behaviors and their potential for adverse ethical consequences to the individual and to society. It is through thinking and discussing the ethical consequences of Web-based applications that society will become aware of our own ethical norms and assess how we would respond before we electronically encounter ethical dilemmas.

MAMA on the Web

2011 ◽  
pp. 1-22 ◽  
Author(s):  
Barbara A. Schuldt
Keyword(s):  
World Wide ◽  
Technology Innovation ◽  
Ethical Issues ◽  
Ethical Dilemmas ◽  
Ethical Considerations ◽  
Web Based ◽  
User Behaviors ◽  
The World ◽  
The Individual ◽  
The Web

This chapter introduces ethical considerations that are especially relevant for the current networked world. It discusses the use of a mnemonic, MAMA — multicultural, adaptive, multifaceted, and archival — as a way to categorize ethical issues as we discover and discuss them today and in the future. By using these categories, the reader can evaluate how the Internet and, more specifically, the World Wide Web (Web) create new ethical concerns as information technology innovation and users drive new Web-based applications and discoveries. In addition, this chapter will pose key ethical questions that will help stimulate the reader to think about Web ethics. In thinking about these questions the reader will explore and hopefully discover his or her own past learned user behaviors and their potential for adverse ethical consequences to the individual and to society. It is through thinking and discussing the ethical consequences of Web-based applications that society will become aware of our own ethical norms and assess how we would respond before we electronically encounter ethical dilemmas.

scholarly journals AN INTERACTIVE WEB-BASED PEDAGOGICAL TOOL FOR THE TRAINING OF ENGINEERS IN ELECTRICAL ENGINEERING

2012 ◽  
Author(s):  
Lyne Woodard ◽  
Alexandre Hatin Limoges ◽  
Nicolas Constantin ◽  
Sylvie Ratte ◽  
Vahe Nerguizian
Keyword(s):  
Student Satisfaction ◽  
Electrical Engineering ◽  
Linear Control ◽  
Academic Training ◽  
Considerable Effort ◽  
Industrial Training ◽  
Web Based ◽  
Pedagogical Tool ◽  
Theoretical Concepts ◽  
The Web

The electrical engi neering curriculum at ÉTS includes industrial training which introduces interruption periods in the academic training. In addition, as the program contains a broad range of related courses, theoretical concepts need continuous revision and followups by students. Thus, considerable effort is required from the students and professors to review t hese concepts through various courses. As a solution to this concern, a motivating web-based pedagogical tool has been created. This tool has been used in a linear control course with traditional laboratories and lecturing. The r esults of student satisfaction obtained so far show that this tool is attractive for students and help them in their revision and learning. Moreover, it provides statistics to the professor helping the evaluation of the understanding level of the group through the entire semester. This paper presents the main features, challenges and results of the web-based pedagogical developed tool.

Support on the Internet – Results of the web-based programme EfA for family members of disordered gamblers

2017 ◽  
Author(s):  
UG Buchner ◽  
A Koytek ◽  
N Wodarz ◽  
J Wolstein
Keyword(s):  
Family Members ◽  
The Internet ◽  
Web Based ◽  
The Web
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