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 A Social Web-Based Personalized Learning Environment: Proposing a PLE

2020 ◽  
Vol 8 (5) ◽  
pp. 3420-3424
Keyword(s):  
Learning Environment ◽  
Object Representation ◽  
Learning Preferences ◽  
Technology Enhanced Learning ◽  
Knowledge Modeling ◽  
Web Based ◽  
Personal Learning ◽  
Personalised Learning ◽  
E Learning ◽  
Enhanced Learning

The nature of e-learning has been advanced in the manner of how it structures with the advance of Web 2.0 and 3.0. Contemporary educational hypermedia is slowly but surely providing personalised user experience. Research in technology-enhanced learning is now more student oriented, in other words it is as a personalised learning environment. But, according to the progress of projects which has been published, it has been said that personal learning environment is left as a theory and the field has been faded. In this paper we have proposed our model by providing learners with three learning object representation options. In which users will have options to get either up to date content or mostly advanced content first or according to their learning preferences. Domain and knowledge modeling features are also detailed. Finally, empirical results for the affect values of the model were presented.

Measuring and Profiling Self-Regulated Learning in the Online Environment

2010 ◽  
pp. 27-38 ◽  
Author(s):  
Lucy Barnard-Brak ◽  
William Y. Lan ◽  
Valerie Osland Paton
Keyword(s):  
Higher Education ◽  
Academic Achievement ◽  
Learning Environments ◽  
Social Cognitive ◽  
Future Research ◽  
Technology Enhanced Learning ◽  
Cognitive Perspective ◽  
Self Regulated Learning ◽  
Enhanced Learning

While the presence of technology-enhanced learning environments (TELEs) will only increase in higher education, this book chapter examines current literature concerning the measurement of online SRL behaviors and the application of this online SRL measurement with regard to profiling SRL behaviors in TELEs. The methodologies and issues associated with the measurement of SRL behaviors in TELEs is discussed in view of extant research. The organization of SRL behaviors into five, distinct profiles is then discussed in view of a social cognitive perspective concerning the development of SRL (e.g. Zimmerman & Schunk, 2001). The book chapter concludes with recommendations for future research concerning the presence of SRL profiles and their relationship to other metacognitive factors and academic achievement.

scholarly journals The Usage of E-Learning Model To Optimize Learning System In Higher Education by Using Dick and Carey Design Approach

2016 ◽  
Vol 2 (1) ◽  
pp. 50
Author(s):  
Anak Agung Gde Satia Utama
Keyword(s):  
Learning Model ◽  
Learning Objectives ◽  
Learning System ◽  
Learning Activities ◽  
Technology Enhanced Learning ◽  
Learning Content ◽  
E Learning ◽  
Entity Relationship ◽  
Entity Relationship Diagram ◽  
Enhanced Learning

Abstract— Nowadays many universities in the world apply technology enhanced learning in order to help learning activities. Due to the potentials technology enhanced learning offers, recent education using it and universities in particular are trying to apply it. One of the subjects of this research is The Accounting Department of Airlangga University in Surabaya. The idea of this research is to investigate the students about how they know deeply about e-learning system and learning objectives as a first step to conduct e-learning model. After the model completed, the next step is to prepare database learning. Entity Relationship Diagram (ERD) can help to explain the model. The purpose of this research was done by using Dick and Carey Design Model. There are nine steps to conduct e-learning model. All steps can be categorized into three steps research: first is the introduction or empirical study, the next step is the design and the last is the feedback after the implementation. The methodology used in this research is using Qualitative Exploratory, by using questionnaire and interviews as data collection techniques. The analysis of the data shows organization requires information about e-learning content, user as a learning subject and information technology infrastructures. E-learning model as one of the alternative learning can help users to optimized learning. Keywords— E-learning Content, Database Learning, Entity Relationship Diagram, Dick and Carey Design, E-learning model and Optimize 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.

Mobile Technology-Enhanced Learning

2015 ◽  
pp. 541-548 ◽  
Author(s):  
Gwo-Jen Hwang
Keyword(s):  
Mobile Technology ◽  
Communication Technologies ◽  
Learning Activities ◽  
Mobile Technologies ◽  
Technology Enhanced Learning ◽  
Digital Learning ◽  
Science Courses ◽  
Real World Learning ◽  
Learning Scenarios ◽  
Enhanced Learning

Educators have pointed out the necessity of situating students in real-world learning scenarios. They have also indicated the importance of providing a technology-enhanced learning environment that enables students to access digital learning resources in anywhere and at any time. The popularity of mobile and wireless communication technologies has provided a good opportunity to accomplish these objectives. In the past decade, many studies that employ those technologies in various practical educational settings, such as the learning activities of computer, mathematics, engineering, social science and natural science courses, have been reported. In addition, various strategies and tools have been proposed to help students more effectively learn with mobile devices. In this article, the strategies, applications and trends of mobile technology-enhanced learning are reported based on the literature. It is expected that the article would benefit those who are interested in applying mobile technologies to learning activities or training programs.

The Use of Cloud-Computing to Promote Collaborative Learning in Higher Education

2019 ◽  
pp. 32-45
Author(s):  
Melissa S. Martin ◽  
Rachel E. Hugues ◽  
Alison Puliatte
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Collaborative Learning ◽  
Learning Styles ◽  
Instructional Strategy ◽  
Collaborative Work ◽  
Learning Preferences ◽  
Generation Z ◽  
E Learning ◽  
Learning Platforms

Generation Z students are inherently different than previous generations. These students may need adapted forms of instruction in order to match their learning styles. Collaborative learning can be adapted using cloud-computing, which helps students work together online and manage their interactions. These students may benefit from a technological twist to a common instructional strategy and are inclined to use online means of communication to complete coursework. Technology has dominated the educational experiences of these students and they are no strangers to collaborative work through e-learning platforms. Higher education institutions and instructors must develop the format of courses in order to meet the technological learning preferences of Generation Z.

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