You are cordially invited to participate in the 13th International Conference on Blended Learning (ICBL 2020) to be held in Bangkok, Thailand on 21 to 24 July 2020.

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, to create new learning environments in order to improve learning effectiveness and enrich learning experience. These smart learning environments are particularly suitable for the emerging “smart city” supported by huge heterogeneous network infrastructures which provide augmented experiences through mobile and smart devices that can mobilize learning activities, and at the same time facilitates the collection of learning-related data for learning analytics. Such a smart learning environment may be able to support a wide range of teaching and learning activities in different subject matters at different levels. ICBL 2020 provides a platform for knowledge exchange and experience sharing among researchers and practitioners in this field.

The conference theme of ICBL 2020 is Blended Learning : Education in a Smart Learning Environment. Original papers reporting novel applications of blended learning are welcome. ICBL 2020 covers all topics in blended learning including, but not limited to:

  • Adaptive Learning
  • Applications of Smart Education (e.g., in Engineering, Computer Science, and Business)
  • Assessment for Blended Learning
  • Computer Supported Collaborative Learning
  • Content Development for Blended Learning
  • Enriching Learning Experience with Blended Learning
  • Experiences in Blended Learning
  • Game-based Learning
  • Improved Flexibility of Learning Processes
  • Interactive Blended Learning Solutions
  • Knowledge-based Smart Society
  • Open Education Resources
  • Organizational Frameworks for Blended Learning
  • Pedagogical and Psychological Issues
  • Smart Classrooms and Smart Universities
  • Smart Education and E-Learning
  • Strategies for Blended Learning

Paper Submission: Original papers should be written in English and submitted by 31 January 2020. 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. The ICBL 2020 Springer's Best/Excellent Paper Awards will be granted to authors of papers with exceptional merits. Authors of selected good papers will be invited to submit extended papers (with at least 50% new contents) to relevant Thematic/Special Issues of the International Journal of Educational Technology in Higher Education (SSCI listed, impact factor = 1.935), the International Journal of Innovation and Learning (ESCI listed), and other journals.

You may submit your paper via the submission system.

Activity
Date
Action Link(s)
Deadline of paper submission (extended)

31 January 2020
21 February 2020

On-site registration
20 July 2020
Date of the conference
21 to 24 July 2020
Biography and abstract

Prof. Jiannong Cao

Hong Kong Polytechnic University

Biography and abstract

Prof. Jiyou Jia

Peking University

Biography and abstract

Mr. Karlcharn Kongkatong

Solution One

Biography and abstract

Dr. Hugh O'Connell

ICDL Thailand

Biography and abstract

Dr. Punpiti Piamsa-nga

Kasetsart University

Full Reg.

Early-bird

HKD3,500

  • Admission to all sessions.
  • Conference proceedings included.
  • Enjoy coffee breaks and lunches.
  • Conference banquet included.

Participant

Early-bird

HKD1,500

  • Admission to all sessions.
  • Conference proceedings NOT included.
  • Enjoy coffee breaks and lunches.
  • Conference banquet included.

Full Reg.

Regular

HKD4,500

  • Admission to all sessions.
  • Conference proceedings included.
  • Enjoy coffee breaks and lunches.
  • Conference banquet included.

Participant

Regular

HKD1,800

  • Admission to all sessions.
  • Conference proceedings NOT included.
  • Enjoy coffee breaks and lunches.
  • Conference banquet included.
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