CALL FOR PAPERS

 

Call for Papers

 

Knowledge Management & E-Learning:
An International Journal (KM&EL)

(Indexed by SCOPUS)

 

Special Issue on

Technology for Higher Education,
Adult Learning and Human Performance

 

Guest Editors

Dr. Maggie M. Wang

Faculty of Education

The University of Hong Kong, Hong Kong

Email:  magwang@hku.hk

Prof. Chi-Cheng Chang

Department of Technology Application and Human Resource Development

National Taiwan Normal University, Taiwan

Email:  samchang@ntnu.edu.tw

Dr. Feng Wu

Department of Educational Technology

Peking University, China

Email: wufeng@pku.edu.cn

 

This special issue of the KM&EL international journal is dedicated to technology-enabled solutions and novel methodical approaches for higher education, adult learning, and human performance. Globalization and economic dynamics have forced individuals and organizations to search for new ways to strengthen their competitive advantages. Improvement of learning and human performance for sustainable development has been recognized as a key strategy. In this context, it is crucial to help adult learners in educational institutions and employees in the workplace to improve their self-directed and life-long learning capabilities. Furthermore, learning in this context has expanded from individual to organizational and community levels with new focuses such as externalization of tacit knowledge embedded in expertise and practice, peer-driven mutual learning and knowledge sharing, and systemic retention of knowledge assets for long-term development.

 

In the meantime, advances in technology have been increasingly enabling and facilitating learning and knowledge-related initiatives. Technology has fundamentally changed the way for access to knowledge and for communication with others. Various technology-enhanced solutions and novel methodical approaches are currently widely used in educational institutions, corporations, governments and communities. e-Learning, the use of electronic media and ICTs, has largely extended learning and training opportunities. More importantly, technologies have considerably fostered self-directed knowledge construction through the provision and support for resource-based, learner-centered environment, computer-based learning assistance, and expanded social interactions including the development of new forms of learning communities and networks. More recently, the cloud computing technology has brought unprecedented opportunities for educational institutions and other organizations to extend their ICT capacity and for people to access knowledge resources with high flexibility and wide choices.

 

This special issue aims to provide a forum for academics and practitioners to explore issues related to use, analysis, design, and evaluation of technologies-based approaches in higher education and various organizational and community environment as well as the impact of technology on improving learning and human performance.

 

The topics of interest include, but are not limited to:

  • e-Learning in higher education
  • e-Learning for continuing education
  • Distance education and lifelong learning
  • Computer-supported self-directed learning
  • Instructional design in e-learning
  • Knowledge management and e-learning
  • e-Learning/e-Training in organizations and communities
  • Case study and best practice of e-learning
  • Web-based corporate training
  • e-Learning and human performance
  • e-Learning and human resource development
  • Evaluation of online learning performance
  • Online learning environments and tools
  • Online curriculum development
  • Cloud computing in education
  • Medical informatics and education
  • Nurse education and training

 

We are interested in both theoretical and practical papers that aim to improve learning and human performance by applying the latest technological advances. We would like to stimulate interest in the issues across academia, practice, industry, research and policy, and therefore we welcome focused papers from all sectors.

 

Important Dates  

 

Submission due: 15th Jun 2013

Notification of acceptance: 26th Jul 2013

Publication schedule: Sep 2013

 

Submission Instructions

 

Electronic submission by email to Guest Editors is required (magwang@hku.hk).

 

Papers must not have been published, accepted for publication, or presently be under consideration for publication elsewhere. A standard double-blind review process will be used for selecting papers to be published in this special issue. Authors should follow the instructions outlined in the KM&EL Website (see URLhttp://www.kmel-journal.org/ojs/index.php/online-publication/about/submissions#onlineSubmissions)

 

For more information about the KM&EL, please visit the web site:

http://www.kmel-journal.org/ojs/index.php/online-publication

 

 

 



Knowledge Management & E-Learning: An International Journal (KM&EL)
ISSN 2073-7904

 

Maintained and Developed by:

Laboratory for Knowledge Management & E-Learning

Faculty of Education, The University of Hong Kong