scholarly journals Technology-Enhanced Learning Research In Higher Education: A recommendation System For creating Courses Using the Management Systems in the E-Learning 5.0

2021 ◽  
Vol 1933 (1) ◽  
pp. 012125
Author(s):  
Putri Dewi ◽  
Elihami Elihami ◽  
Muh Ilham Usman ◽  
Asbar Asbar ◽  
Saidang Saidang
Keyword(s):  
Higher Education ◽  
Recommendation System ◽  
Management Systems ◽  
Technology Enhanced Learning ◽  
E Learning ◽  
Learning Research ◽  
Enhanced Learning

Technology-Enhanced Learning in Higher Education

2014 ◽  
pp. 224-236 ◽  
Author(s):  
Neil Gordon ◽  
Mike Brayshaw
Keyword(s):  
Higher Education ◽  
Technology Enhanced Learning ◽  
Support Teams ◽  
Technological Adoption ◽  
Use Of Technology ◽  
Integration Of Technology ◽  
E Learning ◽  
Technological Age ◽  
Enhanced Learning ◽  
Technology In Higher Education

This chapter explores issues that affect the uptake and integration of Technology in Higher Education, developing a framework to overcome some of the barriers. Technological adoption varies across disciplines. The authors consider disciplines as tribes, where some find technology acceptable and an enabler, whilst for others it is alien and deemed inappropriate. Some territories reflect technology as an area to defend and expand, whilst for others the imposition of technology and associated practices are considered a hostile intrusion into discipline practice. Within the framework, the authors reflect on various perspectives: practitioners', students', and support teams' perspectives within the wider eco-systems and structures. Practitioner concerns reflect discipline traditions and practices, from teaching through to assessment and how to manage the Wikipedia generation. Students' needs in a technological age reflect the demands of the Netizen as student, and the rise and challenge of MOOCs to the teacher and the learner. Institutional mechanisms provide the situation for the use of technology. The authors provide a framework within which to explore the above concerns and describe mechanisms to unite the academic tribes, to see the territorial boundaries as artificial and counter-productive, and to enable the utilisation of E-Learning in current and future Higher Education settings.

scholarly journals Challenges Encountered in Creating Personalised Learning Activities to Suit Students Learning Preferences

2013 ◽  
pp. 263-287 ◽  
Author(s):  
Eileen O’Donnell ◽  
Mary Sharp ◽  
Vincent P. Wade ◽  
Liam O’Donnell
Keyword(s):  
Higher Education ◽  
Learning Preferences ◽  
Learning Activities ◽  
Technology Enhanced Learning ◽  
Full Potential ◽  
Personalised Learning ◽  
E Learning ◽  
Enhanced Learning ◽  
Potential Use

This book chapter reviews some of the challenges encountered by educators in creating personalised e-learning activities to suit students learning preferences. Technology-enhanced learning (TEL) alternatively known as e-learning has not yet reached its full potential in higher education. There are still many potential uses as yet undiscovered and other discovered uses which are not yet realisable by many educators. TEL is still predominantly used for e-dissemination and e-administration. This chapter reviews the potential use of TEL to provide personalised learning activities to suit individual students learning preferences. In particular the challenges encountered by educators when trying to implement personalised learning activities based on individual students learning preferences.

scholarly journals Recommendation System Based On Association Rules For Distributed E-Learning Management Systems

2015 ◽  
Vol 67 (1) ◽  
pp. 99-104 ◽  
Author(s):  
Gabroveanu Mihai
Keyword(s):  
Association Rules ◽  
Management System ◽  
Recommendation System ◽  
Learning Management System ◽  
Distributed Learning ◽  
Learning Management Systems ◽  
Management Systems ◽  
User Data ◽  
E Learning ◽  
Learning Management

Abstract Traditional Learning Management Systems are installed on a single server where learning materials and user data are kept. To increase its performance, the Learning Management System can be installed on multiple servers; learning materials and user data could be distributed across these servers obtaining a Distributed Learning Management System. In this paper is proposed the prototype of a recommendation system based on association rules for Distributed Learning Management System. Information from LMS databases is analyzed using distributed data mining algorithms in order to extract the association rules. Then the extracted rules are used as inference rules to provide personalized recommendations. The quality of provided recommendations is improved because the rules used to make the inferences are more accurate, since these rules aggregate knowledge from all e-Learning systems included in Distributed Learning Management System.

Major Trends, Issues, and Challenges with Learning Management Systems

2014 ◽  
pp. 318-331 ◽  
Author(s):  
Betul Özkan Czerkawski ◽  
Dawn Panagiota Gonzales
Keyword(s):  
Higher Education ◽  
Online Instruction ◽  
Management System ◽  
Teaching And Learning ◽  
Learning Management Systems ◽  
Management Systems ◽  
Profound Impact ◽  
Blended Courses ◽  
E Learning ◽  
Learning Management

A Learning Management System (LMS) offers a set of tools for e-learning delivery and management. For institutions offering online or blended courses, an LMS has a profound impact on teaching and learning because it is the main technology used in higher education e-learning courses. This chapter discusses major trends, issues, and challenges with the LMS in the context of online instruction for higher education. The chapter ends with a discussion of new trends with LMSs.

The Application of Mobile Technology in E-Learning and Online Education Environments

2013 ◽  
Vol 9 (4) ◽  
pp. 85-98 ◽  
Author(s):  
Chia-Wen Tsai ◽  
Pei-Di Shen ◽  
Yi-Chun Chiang
Keyword(s):  
Higher Education ◽  
Online Education ◽  
Mobile Technology ◽  
Research Method ◽  
Quantitative Research ◽  
Professional Organizations ◽  
Future Research ◽  
E Learning ◽  
Learning Research ◽  
Quantitative Research Method

In this paper, the authors reviewed the empirical mobile technology (MT) studies, and those focused on adopting and designing MT for students’ learning, published in SSCI journals from 2003 to 2012. It is found that the number of articles has significantly increased, particularly after 2008. Among the 74 published papers, most of them were conducted in higher education, as well as on computing domain. Furthermore, the quantitative research method was used more in MT and e-learning research. The findings in this study may provide potential direction and help policymakers in governments and researchers in professional organizations to allocate the necessary resources and prepare for supporting future research and applications of MT.

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