Conference Information
ICBL 2017: International Conference on Blended Learning
http://www.aimtech.cityu.edu.hk/icbl2017/
Submission Date:
2017-02-28 Extended
Notification Date:
2017-03-15
Conference Date:
2017-06-27
Location:
Hong Kong, China
Years:
10
QUALIS: b4   Viewed: 16637   Tracked: 2   Attend: 0

Call For Papers
You are cordially invited to participate in the 10th International Conference on Blended Learning (ICBL 2017) to be held at City University of Hong Kong, Hong Kong, China on 27 to 29 June 2017.

Blended learning has become one of the promising approaches to teaching and learning. It aims to integrate traditional learning with innovative means, such as e-learning and open online learning, in order to create a new learning environment to enhance learning effectiveness and enrich learning experience. ICBL2017 provides a platform for knowledge exchange and experience sharing among researchers and practitioners in this field.

The conference theme of ICBL2017 is Blended Learning : New Challenges and Innovative Practices. Original papers reporting novel applications of blended learning are welcomed. ICBL2017 covers all topics in blended learning including, but not limited to:

    Adaptive Learning
    Assessment for Blended Learning
    Computer Supported Collaborative Learning
    Content Development for Blended Learning
    Experiences in Blended Learning
    Improved Flexibility of Learning Processes
    Institutional Policies for Blended Learning
    Interactive Blended Learning Solutions
    Open Education Resources
    Organizational Frameworks for Blended Learning
    Pedagogical and Psychological Issues
    Practices in Borderless Education
    Strategies for Blended Learning

Paper Submission

Original papers should be written in English and submitted through the conference website. Your paper should follow the Springer's Lecture Notes in Computer Science format in 10 to 12 pages

The Conference Proceedings will be published by Springer under the Lecture Notes in Computer Science Series. Selected papers will be recommended to the International Journal of Innovation and Learning. Best and excellent paper awards will be granted to authors of papers with exceptional merits.

Submission Deadline : 31 January 2017
Last updated by Dou Sun in 2017-01-27
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