A Platform for Actively Supporting e-Learning in Mobile Networks

Author(s):  
Basit A. Khan ◽  
Mihhail Matskin

The ubiquitous availability of wireless networks has opened new possibilities for individuals to learn from each other in open learning spaces like cities. Therefore, the changed learning environment must be understood by e-learning systems and technological facilities must be provided for knowledge sharing and construction. Such systems need to be pedagogically sound, yet adaptive to altered modalities. The teacher who was once the central entity to fulfill the learner’s needs may not always be available. Therefore, e-learning systems would fill the gap created by this teacher unavailability by actively participating in learning activities and performing some of the teacher’s roles. This article proposes an architecture designed to meet such challenges in a city-wide context. The authors outline the main components and services needed to fulfill the new requirements and provide the learners with tools, services and educational support for learning activities.

2010 ◽  
Vol 2 (1) ◽  
pp. 55-79 ◽  
Author(s):  
Basit A. Khan ◽  
Mihhail Matskin

The ubiquitous availability of wireless networks has opened new possibilities for individuals to learn from each other in open learning spaces like cities. Therefore, the changed learning environment must be understood by e-learning systems and technological facilities must be provided for knowledge sharing and construction. Such systems need to be pedagogically sound, yet adaptive to altered modalities. The teacher who was once the central entity to fulfill the learner’s needs may not always be available. Therefore, e-learning systems would fill the gap created by this teacher unavailability by actively participating in learning activities and performing some of the teacher’s roles. This article proposes an architecture designed to meet such challenges in a city-wide context. The authors outline the main components and services needed to fulfill the new requirements and provide the learners with tools, services and educational support for learning activities.


2005 ◽  
Vol 2 (2) ◽  
pp. 99-114 ◽  
Author(s):  
Thierry Nabeth ◽  
Liana Razmerita ◽  
Albert Angehrn ◽  
Claudia Roda

This paper presents a cognitive multi-agents architecture called Intelligent Cognitive Agents (InCA) that was elaborated for the design of Intelligent Adaptive Learning Systems. The InCA architecture relies on a personal agent that is aware of the user's characteristics, and that coordinates the intervention of a set of expert cognitive agents (such as story telling agents, assessment agents, stimulation agents or help agents). This InCA architecture has been applied for the design of K"InCA, an e-learning system aimed at helping people to learn and adopt knowledge-sharing management practices.


Author(s):  
Yingqin Zhong ◽  
John Lim

Globalization makes cultural diversity a pertinent factor in e-learning, as distributed learning teams with mixed cultural backgrounds become commonplace in most e-learning programs, which can be study-based (schools and universities) or work-based (training units) (Zhang & Zhou, 2003). In these programs, collaborative learning is supported via computermediated communication technologies and instructional technologies. The primary goal of enhancing learning with technology aids, aligning with the goal of education at all levels, is to engage students in meaningful learning activities, which require learners to construct knowledge by actively interpreting, acquiring, and analyzing their experience (Alavi, Marakas, & Yoo, 2002). In accordance, meaningful learning requires knowledge to be constructed by the learners but not by the teachers. In this regard, collaborative learning, an activity where two or more people work together to create meaning, explore a topic, or improve skills, is considered superior to other individualistic instructional methods (Lerouge, Blanton, & Kittner, 2004). The basic premise underlying this is the socio-learning theory, which advocates that learning and development occur during cooperative socialization among peers and emerge through shared understandings (Leidner & Jarvenpaa, 1995). This highlights the criticality of the communication and collaboration pertaining to an individual’s learning process. Since culture reflects the way one learns (Hofstede, 1997; Vygotsky, 1978), group members’ cultural backgrounds play a significant role in affecting the collaborative learning process (Chang & Lim, 2005). Language, cognitive style, and learning style are some aspects of culture that concern collaborative learning in the short term. Groups which have members of different cultural backgrounds are expected to be availed a wider variety of skills, information, and experiences that could potentially improve the quality of collaborative learning (Rich, 1997). In contrast, a group comprising members of similar backgrounds is vulnerable to the “groupthink” syndrome; when the syndrome operates, members could ignore alternatives, resulting in a deterioration of efficiency in making a group decision (Janis, 1982). Accordingly, it is conceivable that groups formed by members of different cultural backgrounds are inherently less prone to the “groupthink” syndrome. However, the advantages of cultural diversity in achieving meaningful collaborative learning are not easily realized, as the basic modes of communication may vary among different cultures and, in consequence, communication distortion often occurs (Chidambaram, 1992). Collaborative learning systems (CLS) are being increasingly researched owing to their potential capabilities and the associated new opportunities in supporting collaborative learning, in particular for distributed groups involving members of different cultural backgrounds (Alavi & Leidner, 2001). Collaborative learning systems provide the necessary medium to support interaction among learners, and therefore modify the nature and the ef- ficiency of the collaborative learning activities (Mandryk, Inkepn, Bilezikjian, Klemmer, & Landay, 2001). The current article looks into how collaborative learning systems may better accommodate cultural diversity in e-learning groups. In addition, this article discusses pertinent issues regarding the role of a leader in building the common ground among learners in order to maximize the potential of collaborative learning systems when cultural diversity is present.


2016 ◽  
Vol 4 (1) ◽  
pp. 42-61 ◽  
Author(s):  
Shauna Beaudin ◽  
Yar Levy ◽  
James Parrish ◽  
Theon Danet

The demand for e-learning systems in both academic and non-academic organizations has increased the need to improve security against impersonation fraud. Although there are a number of studies focused on securing Web-based systems from Information Systems (IS) misuse, research has recognized the importance of identifying suitable levels of authenticating strength for various activities. In e-learning systems, it is evident that due to the variation in authentication strength among controls, a ‘one size fits all’ solution is not suitable for securing diverse e-learning activities against impersonation fraud. The focus of this exploratory study was to investigate what levels of authentication strength users perceive to be most suitable for activities in e-learning systems against impersonation fraud and aimed to assess if the ‘one size fits all’ approach that is mainly used is valid when it comes to securing e-learning activities from impersonation fraud. A sample of 1,070 e-learners was analyzed using descriptive statistics and exploratory factor analysis to uncover suitable levels of authentication strength to secure elearning activities against impersonation fraud. The findings determined that there is a specific set of e-learning activities that have high potential for impersonation and need a moderate to high level of authentication strength to reduce the threat.


2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Arief Samuel Gunawan ◽  
Herastia Maharani ◽  
Karen K Tatuh

SMKN XYZ is a vocational institution located in Bandung. In performing learning activities, SMKN XYZ implemented e-learning systems, namely Edmodo and school website, to complement and support daily learning activities. E-learning system is used as a solution when teachers could not attend the class. But in reality, it was found that both Edmodo and school website have relatively similar features and functions in use. Furthermore, it was found from interviews and questionnaire results that both existing applications were lacking of several necessary features such as chatting and math equation features. Therefore, an analysis and evaluation of e-learning system recommendation will be conducted in this research. There are 5 main requirements of SMKN XYZ regarding e-learning implementation, which were found from the interviews and questionnaire, namely learning material online sharing, online discussion, online assignment, online quiz and online announcement. Moodle is a web-based open source e-learning application. Using Moodle could support online learning activities and meet the 5 main requirements of SMKN XYZ, by providing features such as access to learning materials, assignment, quiz, discussion and other important informations, including chatting and math equation features which were not available in Edmodo and school website.


Author(s):  
Paul Hazlewood ◽  
Amanda Oddie ◽  
Mark Barrett-Baxendale

IMS Learning Design (IMS LD) is a specification for describing a range of pedagogic approaches. It allows the linking of pedagogical structure, content, and services, whilst keeping the three separate, thus providing the potential for reuse as well as forming the basis for interoperability between learning activities and services. As such, this specification promises unprecedented opportunities to build effective tutor support and presence into e-learning systems. The tools that implement the specification have primarily been used for research purposes and have not been targeted at teaching practitioners or learners working in teaching and learning situations. There is a perception amongst practitioners and tool developers that the specification and tools are too technical or difficult for practitioner use. This chapter examines practitioner use of current tools for creating IMS LD and the use of IMS LD units of learning (UoLs) with learners through projects being undertaken at Liverpool Hope University (LHU). It presents some of the experiences and findings gained from these projects. The chapter also examines current technologies and tools for creating and running IMS LD UoLs, and finally discusses the potential and future for IMS LD.


Author(s):  
Maria Kordaki ◽  
Haris Siempos ◽  
Thanasis Daradoumis

This chapter addresses a number of serious ‘collaborative learning design’ problems faced by adults within the context of e-learning systems and outlines some innovative solutions. Specifically, thirty-three Computer Science students at the Hellenic Open University participated in an experiment aimed at designing collaborative learning courses for Computer Science concepts within MOODLE, a well known open source Learning Management System. The systematic study presented in this chapter argues and specifies that these Prospective Computer Science Professionals (PCSPs) have serious difficulties with the formation of both collaborative learning activities and collaboration procedures, and with realizing them within e-learning settings. The proposed solutions emphasize the design and development of a set of computer-based collaborative patterns reflecting diverse collaboration methods. These patterns are content free and could be used as scaffolding elements for the design of collaborative learning activities for online and blended courses. Specific examples of possible implementation of these patterns within well-known Web-based open source environments that support learning design are also presented.


Author(s):  
Wasim Qazi ◽  
◽  
Syed Ali Raza ◽  
Komal Akram Khan ◽  
Javeria Salam ◽  
...  

E-Learning has been an exceptional support for learners across the globe. Many people are using electronic media for different purposes. Hence, learners, especially students, can benefit from the electronic system as well. Therefore, the purpose of this study is to examine the adoption level of e-learning systems by using the extended model of UTAUT2. The data was collected using the survey method, and for this purpose, the five-point Likert scale has been used. The statistical techniques applied to the data set were confirmatory factor analysis and partial least square structural equation modeling. The results reveal that performance expectancy, effort expectancy, social influence, facilitating conditions, habit, knowledge acquisition, and knowledge sharing are positively linked with behavioral intention to use e-learning systems except for hedonic motivation. The modified model adds two new predictors: knowledge acquisition and knowledge sharing that influence students' acceptance of e-learning systems. Therefore, it will provide the educationists and policymakers a new insight into whether students are willing to adopt the E-learning system for daily use. Keywords: E-Learning System, Behavioral intention, Knowledge acquisition, Knowledge sharing, Higher education, PLS-SEM


2019 ◽  
Author(s):  
fadryan ◽  
Hade Afriansyah

As information technology grows rapidly, the need for a concept and mechanism for Information Technology-based teaching and learning becomes inevitable. The concept which became known as e-Learning brought the effect of the process of transforming conventional education into digital form, both in terms of contents and systems bridged by internet technology. The e-Learning concept gives the possibility of more intensive interaction between lecturers and students, students with students in the classroom and outside the classroom. The purpose of writing is to measure the level of activity of students as users of e-Learning systems to support Teaching and Learning Activities between lecturers and students. -Learning in this study uses the Moodle system and data collection using a questionnaire with COLLES which is already available in the Moodle module. From the results of the analysis, it can be concluded that students are quite active in Teaching and Learning activities with e-Learning systems which include material download activities, discussion forums and work on quizzes or problem exercises.


2018 ◽  
Vol 12 ◽  
pp. 85-98
Author(s):  
Bojan Kostadinov ◽  
Mile Jovanov ◽  
Emil STANKOV

Data collection and machine learning are changing the world. Whether it is medicine, sports or education, companies and institutions are investing a lot of time and money in systems that gather, process and analyse data. Likewise, to improve competitiveness, a lot of countries are making changes to their educational policy by supporting STEM disciplines. Therefore, it’s important to put effort into using various data sources to help students succeed in STEM. In this paper, we present a platform that can analyse student’s activity on various contest and e-learning systems, combine and process the data, and then present it in various ways that are easy to understand. This in turn enables teachers and organizers to recognize talented and hardworking students, identify issues, and/or motivate students to practice and work on areas where they’re weaker.


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