Web-Based Interface Elements in Team Interaction and Learning

2010 ◽  
pp. 607-632
Author(s):  
Klarissa Ting-Ting Chang ◽  
John Lim ◽  
Yingqin Zhong

The Web has increasingly become an important avenue of the learning community; nonetheless, it is wanting in terms of effective interaction among learners. This paper posits that a well-designed user interface will capably address limitations of Web-based learning, and enhance teaminteractions and learning outcomes. It reports on an experiment that investigated the effect of interfaceelements on a set of interaction processes, attitudes, andlearning outcomes. Availability of interface elements to engage and evaluate learning was found to promote participation, trust, and cooperation among learners. How these process variables impacted outcome variables, as intervened by attitudinal factors, was analyzed using structural modeling. Our analysis provided support to atheoretical model that causally links four sets of variables: input (interface elements), processes, attitudes, andlearning outcomes. The paper expounds on the implications of the findings, which have significant importance with respect to the emerging issues in Web-based learning.

Author(s):  
Klarissa Ting-Ting Chang ◽  
John Lim ◽  
Yingqin Zhong

As an important avenue of the learning community, the web has enabled interaction among learners and facilitated learning processes. This paper posits that a well-designed user interface will capably address limitations of web-based learning, and enhance team interactions and learning outcomes. It reports on an experiment that investigated the effect of interface elements on a set of interaction processes, attitudes, and learning outcomes. Availability of interface elements to engage and evaluate learning was found to promote participation, trust, and cooperation among learners. These process variables, as intervened by attitudinal factors, had significant impacts on outcome variables. Our findings provide support to a theoretical model that causally links four sets of variables: input (interface elements), processes, attitudes, and learning outcomes. The paper expounds on the implications of the findings, which have significant importance with respect to the emerging issues in web-based learning.


Author(s):  
Yin Zhang ◽  
Samuel Chu

<p class="2">In recent years, a number of models concerning problem solving systems have been put forward. However, many of them stress on technology and neglect the research of problem solving itself, especially the learning mechanism related to problem solving. In this paper, we analyze the learning mechanism of problem solving, and propose that when designing Web-based problem solving systems, more attention should be paid to the learning mechanism involved in the problem solving process than to the technology itself. On the basis of that, some new ideas on the design of the problem solving systems are put forward in order to promote the rapid development of the Web-based problem solving systems.</p>


Author(s):  
Percy Kwok

Because of the ever changing nature of work and society under knowledge-based economy in the 21st century, students and teachers need to develop ways of dealing with complex issues and thorny problems that require new kinds of knowledge that they have not ever learned or taught (Drucker, 1999). Therefore, they need to work and collaborate with others. They also need to be able to learn new things from a variety of resources and people, and to investigate questions and bring their learning back to their dynamic life communities. There have arisen recent learning community approaches (Bereiter, 2002; Bielaczyc & Collins, 1999) and learning ecology (Siemens, 2003) or information ecology approaches (Capurro, 2003) to education. These approaches fit well with the growing emphasis on lifelong, lifewide learning and knowledge-building works. Following this trend, the Internet technologies have been translated into a number of strategies for teaching and learning (Jonassen, Howland, Moore, & Marra, 2003) with supportive development of one-to-one (e.g., e-mail posts), one-to-many (such as e-publications), and many-to-many communications (like video-conferencing). The technologies of computer-mediated communications (CMC) make online instructions possible and have the potential to bring enormous changes to student learning experience of the real world (Rose & Winterfeldt, 1998). It is because individual members of learning communities or ecologies help synthesize learning products via deep information processing processes, mutual negotiation of working strategies, and deep engagement in critical thinking, accompanied by an ownership of team works in those communities or ecologies (Dillenbourg, 1999). In short, technology in communities is essentially a means of creating fluidity between knowledge segments and connecting people in learning communities. However, this Webbased collaborative learning culture is neither currently emphasized in local schools nor explicitly stated out in intended school curriculum guidelines of formal educational systems in most societies. More than this, community ownership or knowledge-construction in learning communities or ecologies may still be infeasible, unless values in learning cultures are necessarily transformed after technical establishment of Web-based learning communities or ecologies.


Author(s):  
Elvis Wai Chung Leung ◽  
Qing Li

To cope with the increasing trend of learning demand and limited resources, most universities are taking advantage of Web-based technology for their distance education or e-learning (Montelpare & Williams, 2000). One of the reasons is due to the significant price drop of personal computers in recent decades; the Internet and multimedia have penetrated into most households. Moreover, most students prefer to learn from an interactive environment through a self-paced style. Under the Web-based learning model, students can learn anytime, anywhere because they are not required to go to school on schedule (Appelt, 1997). Meanwhile, universities also enjoy the economic benefit due to the large student base that can share the development cost of course materials and other operational expenses. Gradually, more and more universities follow this similar way to provide online education.


2014 ◽  
Vol 20 (12) ◽  
pp. 640-645
Author(s):  
Yeomyeong Woo ◽  
Jiwoong Bang ◽  
Jaemin Song ◽  
Jinyeong Yoo ◽  
Sangjun Lee

2013 ◽  
Vol 380-384 ◽  
pp. 4632-4636
Author(s):  
Jiong Ma

With the rapid development of Internet. Web-based Learning became more convenient and rapid, People-centered Web-based Learning become possible now. Electronic Portfolio is such kind of a platform that to adapt the Web-based Learning for users to share, exchange, collaborative learning and assessment. The paper started from the concept and feature of Electronic Portfolio, and introduced some commonly used alternative platform for Electronic Portfolio. Compared and analyzed it from the angle of functions, features, support technology, users, storage and assessment.


Data mining is the concept for extracting the appropriate data from the large set of database. In today’s world it is widely used for many applications where learning applications is one of the major part. The e-Learning is the booming technology where anyone can learn everything from any part of the world. It is the digital way of learning the concepts and does not require the help of other persons to do so. It also requires the large space for data storage such as user information, course records and course details and so on. There are lot of learning applications available on the internet among which some might be subjected to frauds. So the security is the demanding thing every users looking for to protect their details. The users also seek for flexibility of using the applications. In perspective of distributed world, the complexity and interoperability of the data brings challenges in e-learning domain.Depends upon learner’s choice, the web based learning modules were developed for the students. Thus, a holistic approach is required for achieving the personalized content since the student groups are heterogeneous in nature. In addition to, the personalized content has to be protected in order to maintain the data integrity and privacy of the users. In this work, we survey about the present scenario of the web-based e-learning systems. Initially, we present the services oriented architecture of the e-learning systems and also clearly explain the different elearning layers.Then, we portray the existing studies processed in web based e-learning systems. Finally, we discuss about the challenges still persists in web-based learning systems. This paper will guide the upcoming researchers in e-learning fields.


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