University Enhancement System using a Social Networking Approach: Extending E-learning

10.28945/3318 ◽  
2009 ◽  
Author(s):  
Oludele Awodele ◽  
Sunday Idowu ◽  
Omotola Anjorin ◽  
Adebunmi Adedire ◽  
Victoria Akpore
Keyword(s):  
Learning Environment ◽  
Social Networking ◽  
Learning Process ◽  
Learning Systems ◽  
Learning System ◽  
The Internet ◽  
Open Collaboration ◽  
E Learning ◽  
Learning Institutions ◽  
Enhanced Learning

The proliferation of e-leaming systems in both learning institutions and companies has contributed a lot to the acquisition and application of new skills. With the growth in technology, especially the internet, e-learning systems are only getting better and having more impact on the users. This paper suggests an approach to e-learning that emphasizes active and open collaboration, and also the integration of other services that aid or contribute to the learning process. This approach aims at having an extended and enhanced learning environment that is tied or connected to other systems within the immediate environment or otherwise. We illustrate the possibility and usability of such system in a university, such that other important administrative systems are integrated into the e-learning system, and collaboration is open to both academic and non-academic personnel’s.

scholarly journals Multi-Agent Adaptive e-Learning System Based on Learning Styles

2021 ◽  
Vol 4 (1) ◽  
pp. 1-12
Author(s):  
Faith Ngami Kivuva ◽  
Elizaphan Maina ◽  
Rhoda Gitonga
Keyword(s):  
Learning Styles ◽  
Learning Process ◽  
Intelligent Agents ◽  
Personalized Learning ◽  
Learning Systems ◽  
Learning System ◽  
Personalized Recommendation ◽  
Information Agent ◽  
E Learning ◽  
Multi Agent

Most traditional e-learning system fails to provide the intelligence that a learner may require during their learning process. Different learners have different learning styles but the current e-learning systems are not able to provide personalized learning. In this paper, we discuss how intelligent agents can aid learners in their learning process. Three agents have been developed namely, learner agent, information agent, and tutor agents that will be integrated into a learning management system (Moodle). Learners are provided with a personalized recommendation based on the learning styles.

scholarly journals Integration of Knowledge Management and E- Learning Technologies in Academic Institutions

2020 ◽  
Vol 7 (2) ◽  
pp. 88
Author(s):  
Sefiu Taiwo Oloruntoyin
Keyword(s):  
Knowledge Management ◽  
Learning Environment ◽  
Learning Process ◽  
Real World ◽  
Learning Technologies ◽  
Learning Systems ◽  
Academic Institutions ◽  
Management Technology ◽  
Efficiency And Effectiveness ◽  
E Learning

This work investigates the integration of e-Learning systems and knowledge management technology to improve, capture, organize and deliver large amounts of knowledge. First, a model is proposed for the phases of knowledge management. The model is then enhanced with concepts and technology from e-Learning. The model is then used to illustrate real world scenarios that add increasing amounts of knowledge management to an e-Learning environment. The system, AMID promises high interactivity, efficiency and effectiveness of integration of knowledge management and e-learning. In addition, the developed system will enhance technical learning process.

scholarly journals Design of an Adaptive e-Learning System based on Multi-Agent Approach and Reinforcement Learning

2021 ◽  
Vol 11 (1) ◽  
pp. 6637-6644
Author(s):  
H. El Fazazi ◽  
M. Elgarej ◽  
M. Qbadou ◽  
K. Mansouri
Keyword(s):  
Reinforcement Learning ◽  
Learning Style ◽  
Learning Process ◽  
Learning Experience ◽  
Personalized Learning ◽  
Learning Objects ◽  
Learning Systems ◽  
Learning System ◽  
E Learning ◽  
Multi Agent

Adaptive e-learning systems are created to facilitate the learning process. These systems are able to suggest the student the most suitable pedagogical strategy and to extract the information and characteristics of the learners. A multi-agent system is a collection of organized and independent agents that communicate with each other to resolve a problem or complete a well-defined objective. These agents are always in communication and they can be homogeneous or heterogeneous and may or may not have common objectives. The application of the multi-agent approach in adaptive e-learning systems can enhance the learning process quality by customizing the contents to students’ needs. The agents in these systems collaborate to provide a personalized learning experience. In this paper, a design of an adaptative e-learning system based on a multi-agent approach and reinforcement learning is presented. The main objective of this system is the recommendation to the students of a learning path that meets their characteristics and preferences using the Q-learning algorithm. The proposed system is focused on three principal characteristics, the learning style according to the Felder-Silverman learning style model, the knowledge level, and the student's possible disabilities. Three types of disabilities were taken into account, namely hearing impairments, visual impairments, and dyslexia. The system will be able to provide the students with a sequence of learning objects that matches their profiles for a personalized learning experience.

scholarly journals ADMINISTERING CLASSES IN VIRTUAL LEARNING ENVIRONMENT: FACILITATIONS, PRINCIPLES, EDUCATORS’ ROLES AND INTERACTIONS

2021 ◽  
Vol 7 (1) ◽  
pp. 180
Author(s):  
Nur Afni Mahiya Usemahu ◽  
Yulia Fernandita
Keyword(s):  
Learning Environment ◽  
Learning Process ◽  
Mixed Method ◽  
Virtual Learning ◽  
Virtual Learning Environment ◽  
Learning System ◽  
Learning Activities ◽  
The Internet ◽  
Workload Management ◽  
Teachers Training

This study investigates teachers’ competencies in the implementation of facilities, principles, educators’ roles, and interactions in the Virtual Learning Environment (VLE). Using explanatory sequential mixed method, it aims to examine whether all those competencies such as learning system tools and resources, technology quality, and workload management are considered throughout the learning process. In total, 102 students from the Faculty of Tarbiyah and Teachers’ Training at Antasari State Islamic University were involved in the survey. Fourteen of them, as well as three lecturers, were then interviewed. The results indicate that despite students’ limited access to the internet, lecturers attempt to provide all students’ facilities. However, in some departments, various learning activities, monitoring, and feedback still need to be improved. The lecturers generally execute the principle of the virtual learning environment. The students mostly believe that lecturers are aware of their roles, and manage their interactions well. In conclusion, the study suggests teachers’ competencies in the virtual learning environment and calls for further studies in this subject. 

Collaborative Activities Management System Model (CAMS) for Web-based Virtual Classrooms

2017 ◽  
Vol 2 (2) ◽  
pp. 1-14
Author(s):  
Ibam E. Onwuka ◽  
Agbonifo O. Catherine ◽  
Adewale O. Sunday
Keyword(s):  
Collaborative Learning ◽  
Learning Environment ◽  
Management System ◽  
Learning Systems ◽  
Learning System ◽  
System Model ◽  
Online Collaborative Learning ◽  
Individual Participant ◽  
E Learning ◽  
Collaborative Activities

Online collaborative learning systems have emerged as one of the most valuable aspects of e-learning systems. E-learning products that lack features for online collaboration among participants are deemed to be incomplete or sub-standard. Collaboration modules within an e-learning system consist of assets for group communication and work “spaces” and facilities. Activities within the collaborative framework of an e-learning system advances collaborative social interaction and the social construction of knowledge. Participants in an e-learning environment get involved in many activities which if not well coordinated could hamper collaboration instead of enhancing it. Therefore, the need to create measurable tools (models) that can coordinate these collaborative activities and provide up-to-date information or status of individual participant and group participants in collaborative activities within an e-learning environment has become inevitable. This work seeks to presents the design of activities management system model for online collaborative learning systems. The model contains some mathematical models for determining the level of involvements of a participant or groups in online classes (class attendance), discussions, project and polls. Their levels of participation are assigned weights and their aggregate value interpreted to give up-to-date status of their involvement in collaborative activities. The model is developed using WAMP tools.

A Unified Quality Control Model for E-Learning Systems

2017 ◽  
Vol 7 (3) ◽  
pp. 1355
Author(s):  
Khalid Hamed Allehaibi ◽  
Nasser Nammas Albaqami
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Learning Process ◽  
Control Model ◽  
Learning Systems ◽  
Learning System ◽  
Quality Requirements ◽  
Learning Platform ◽  
E Learning

Defining, measuring, and achieving quality of e-learning systems are not an easy task. Accordingly, one of the most essential goals for the higher educational institutes is how to reach a high and satisfied level of quality in their learning systems. Achieving such level needs adequate and continuous improvements for the whole e-learning environment elements. Therefore, we aim in our work to construct a unified framework for total quality management system (TQMS) that attempt to satisfy the quality requirements, needs, and standards. The objective of this paper is to present a quality control model for e-learning system that adopts the e-learning platform according to the on-line determination of both user's requirements and global standards. This paper proposed software architecture of quality Management framework for e-learning that could be adopted by different higher education institutes to control the quality of the e-learning process, and assure the quality of the e-learning process outcome. The proposed framework is based on a tri-dimensions quality model. The three dimensions are set of quality requirements for e-learning environment represented in Quality Assurance (QA) policies that will be formalized by using policy based approach, the specifications of e-learning platform that provide learning and teaching activities, and quality control process loop. The architecture for monitor and ensure quality control of the QA policies for e-learning system will deliver the whole learning services in an optimal way. It is also flexible and can be implemented over any e-learning system.

Discovering Learners' Characteristics Through Cluster Analysis for Recommendation of Courses in E-Learning Environment

2019 ◽  
Vol 15 (1) ◽  
pp. 42-66
Author(s):  
Bhupesh Rawat ◽  
Sanjay K. Dwivedi
Keyword(s):  
Cluster Analysis ◽  
Academic Performance ◽  
Learning Environment ◽  
Learning Process ◽  
Recommendation System ◽  
Learning Systems ◽  
Traditional Learning ◽  
Huge Number ◽  
E Learning ◽  
The Web

With the emergence of the web, traditional learning has changed significantly. Hence, a huge number of ‘e-learning systems' with the advantages of time and space have been created. Currently, many e-learning systems are being used by a large number of academic institutions worldwide which allow different users of the system to perform various tasks based on their goals. However, most of these systems follow a ‘one size fits all' approach where same resources are offered to learners irrespective of their unique learning requirements. Therefore, personalization is required as a part of e-learning systems which offers resources to learners based on their profile. This research aims to perform cluster analyses in order to validate clusters created through a k-means algorithm. The clusters will be used to classify a new learner into its appropriate class and recommend relevant courses. Finally, the accuracy of the recommendation is evaluated using various evaluation metrics. The proposed recommendation system helps learners to improve their academic performance and hence overall learning process as well.

scholarly journals Application of E-learning System in the World of Education

2021 ◽  
Vol 1 (1) ◽  
pp. 127-133
Author(s):  
V Pratiwi ◽  
◽  
S L Rahman ◽  
Keyword(s):  
Management System ◽  
Learning Management System ◽  
Learning Systems ◽  
Learning System ◽  
The Internet ◽  
Literature Study ◽  
Positive Effects ◽  
The World ◽  
Teachers And Students ◽  
E Learning

The purpose of this study is to determine the positive effects of e-learning systems on improving student's understanding of concepts and comparing e-learning with old learning system. Nowadays, the internet is one of the way to find informations easily without reading books and attending classes. The method used in this research is literature study method by obtaining information and data from various sources. The results from this study is that e-learning can improve students' cognitive abilitiesas it is easier to access words, powerpoint, html or PDF in the application. The conclusion is that e-learning can be used as a learning innovation that can help teachers and students using the Software Learning Management System

scholarly journals The role of e-engagement and flow on the continuance with a learning management system in a blended learning environment

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Tiong-Thye Goh ◽  
Bing Yang
Keyword(s):  
Learning Environment ◽  
Blended Learning ◽  
Management System ◽  
Learning Management System ◽  
Learning Systems ◽  
Learning System ◽  
Flow Experience ◽  
Learning Engagement ◽  
E Learning ◽  
Learning Management

AbstractE-learning systems are widely deployed in higher education institutions but sustaining students’ continued use of e-learning systems remains challenging. This study investigated the relationship between e-learning engagement, flow experience and learning management system continuance via a mediated moderation interaction model. The context of the study is a Moodle LMS supporting a blended learning environment. After controlling age and gender, a PLS analysis of 92 students’ samples with a reflective flow construct explained 49% of the variance in the research model. The analysis shows that flow mediates e-engagement and perceived ease of use with a direct positive impact on e-learning system continuance. Flow has an indirect impact through perceived usefulness on e-learning system continuance. However, the direct impact of flow on system continuance weakens as e-learning engagement increases. This finding may help to explain the mixed and inconsistent impact of flow in the e-learning system continuance literature. The dual effect of flow suggests that instructors must carefully balance pedagogical decisions intended to heighten flow experience to generate positive learning outcomes through e-engagement and its consequence of reduced impact on continued system use.

scholarly journals Studi Pustaka Tentang Kerentanan Keamanan E-Learning dan Penanganannya

2020 ◽  
Vol 4 (2) ◽  
pp. 309
Author(s):  
Reza Pramudita ◽  
Syifaul Fuada ◽  
Nuur Wachid Abdul Majid
Keyword(s):  
Higher Education ◽  
Information Technology ◽  
Learning Process ◽  
Research Method ◽  
Learning Systems ◽  
High Potential ◽  
Learning System ◽  
Security Issues ◽  
Literature Reviews ◽  
E Learning

E-learning is an educational media that use ICT in the learning process. Nowadays, most of the higher education (universities) in Indonesia have integrated the learning process with e-learning systems. By using this system, learning can be done outside the classroom, anytime and anywhere. Based on the literature reviews, e-learning has many positive impacts on higher education components and its ecosystems, i.e., students, lecturers, higher education staff, and campus officials. Although it offers many advantages, similar to the information technology in general, e-learning systems are also vulnerable to security issues. Because, several security holes in the system can be penetrated easily by hackers, where the essential data contained in e-learning has high potential to be spoofed even modified by irresponsible parties. The security aspect of the e-learning system must be considered to minimize risks. Thus, the higher education can run their business as well. This paper aims to elaborate on the e-Learning system, opportunities, challenges, and several offered solutions on it. The research method used in this paper is literature studies from the latest references

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