scholarly journals E-learning System in Virtual Learning Environment to Develop Creative Thinking for Learners in Higher Education

2015 ◽  
Vol 174 ◽  
pp. 674-679 ◽  
Author(s):  
Noawanit Songkram
2020 ◽  
Vol 8 (6) ◽  
pp. 3398-3406

Most virtual learning environment fails to recognize that students have different needs when it comes to learning. With the evolving characteristics and tendencies of students, these learning environments must provide adaptation and personalization features for adaptive learning materials, course content and navigational designs to support student’s learning styles. Based from the data mining results of learner behavioral features of five hundred seven (507) tertiary students, an accurate model for classification of student’s learning styles were derived using J48 decision tree algorithm. The model was implemented in a prototype using a framework and a proposed system architectural design of an adaptive virtual learning environment. The study resulted in the development of an adaptive virtual learning environment prototype where learner’s preferences are dynamically diagnosed to intelligently personalize the course content design and user interfaces for them.


Author(s):  
Wang Gunawan ◽  
Engelina Prisca Kalensun ◽  
Ahmad Nurul Fajar ◽  
Sfenrianto

2018 ◽  
Vol 1 (1) ◽  
pp. 10-12
Author(s):  
Kamarudin Hussin

The advancement of technology in higher education is always perceived as a valuable innovation that create better impact to the society. The advent of the Internet for instance, has magnificently created important features in learning environment globally. Higher education community optimizes the Internet as an essential resource, communication platforms and dynamic tools in their core teaching-learning, research, consultation activities, entertainment and many others. Moreover, innovations such as mobile technology has successfully broadened access to the Internet and related online services and facilities. Higher education institutions as the hub for technology development and innovation have invested in virtual learning environment to support current needs of global population. Related to this fact, e- learning modules and contents are offered across universities, and interested learners in public communities are benefited by this opportunity. Educators and experts in higher education institutions are delivering their knowledge, discoveries and expertise via e-learning platforms and other supported technology. Equally important, e-learning has successfully expanded opportunities for lifelong and flexible learning, and offered a solution for practical issues and increasing student numbers. As a matter of fact, e-learning has been proposed as a promising way out for many complex issues such asfunding constraints, increasing demand and access to higher education while improving quality and high impact educational provisions in many countries. While addressing these issues, higher education administrators, educators, researchers and policy makers have developed responses in various frameworks. Initiatives such as Competency-Based Online Programs, development of open source materials, flipped classroom and Massive Open Online Courses (MOOCs) have contributed towards reducing cost of higher education as well as increasing access to higher education. MOOCs technology has proven its capability to reach massive audienceof about 30,000 students at a time. Across the globe, MOOCs offer free access to online course lectures, self- paced lessons, readings, problem sets, blogs, discussion boards, peer assessment and even online discussion group platforms for global students (Leon and Price, 2016). In 2017, MOOCs offered more than 9,400 courses with more than 500 MOOC based credentials according to data gathered by Class Central. Excitingly, MOOC platforms have recorded more than 81 million learners to date (Class Central, 2017).  


2015 ◽  
Vol 5 (3) ◽  
pp. 75-98 ◽  
Author(s):  
Julius T. Nganji ◽  
Mike Brayshaw

Existing virtual learning environments (VLEs) in educational institutions are not designed with the expectation that students with disabilities will use them. Consequently, retrieving relevant information by some students with disabilities is a challenging task. The focus of this study was to propose the design of VLEs to incorporate ontologies that facilitate information retrieval by students with disabilities in their learning, thus serving as a semantic web-based assistive technology in education. An Ontology-Driven Disability-Aware Personalised E-Learning System (ONTODAPS) was designed and then used to recommend specific learning materials to learners based on their learning goal and disability type. Preliminary results of the evaluation of ONTODAPS, by 30 students with disabilities, indicate that 70% of the participants found ONTODAPS to offer a better personalisation, better access to learning materials (68%) and is easier to use (63%) in retrieving learning materials than Sakai. Thus ONTODAPS serves as an assistive tool in their education through retrieval of relevant learning materials in a suitable format which is compatible with their disability.


2013 ◽  
Vol 4 (3) ◽  
pp. 52-65
Author(s):  
Rabindra Ku Jena

Recent advances in Information and Communication Technology (ICT) provide an opportunity to build a self growing and sharing virtual environment for teaching and learning. Cloud computing is one of the latest technological advancement in ICT domain. Cloud computing technologies have changed the way applications are developed and accessed. A Virtual Learning Environment (VLE) is a system for delivering learning materials to students via the web. Cloud computing is provides one of the most emerging cost effective solution for virtual learning and teaching environment. This paper discusses how cloud computing has been contributing to virtual learning environment and an overview of the current state of the structure of Cloud Computing based e-learning is discussed. The readers will also find a brief overview of cloud computing and the different efficient cloud based virtual learning models. Towards the end different offers from different cloud vendors are discussed.


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