[AISWorld] CFP - AMCIS 2016 Mini-track: Technology Enhanced Collaborative Learning

[Hadidi, Rassule]

Mini-track: Technology Enhanced Collaborative Learning

Track: IS in Education, IS Curriculum, Education and Teaching Cases (SIGED)

Description:

Over the last few decades Information and Telecommunication Technologies (ITT) have played a significant role in facilitating collaboration among individuals and organizations around the globe. In particular, the use of collaborative systems for teaching and learning between faculty and students and among students has increased considerably. The focus of this mini-track is to explore theoretical and practical ways to incorporate and improve teaching and learning in general, online and blended learning in particular, by focusing on the application of these collaborative systems to facilitate and foster collaborative learning and teaching.

Possible topics include but are not limited to:

Adoption & Diffusion:

  *   Task-technology-fit Models for Collaborative Learning
  *   Support/Training Structures
  *   Individual & Organizational Barriers
  *   Usability
  *   User Satisfaction

  *   Distributed Collaborative Systems
  *   Theoretical Collaborative Learning Models
  *   Collaborative Tools and Technologies
  *   Collaborative Learning Resources

Effects of Use:

  *   Effectiveness and Efficiency Measurements of Learning Technologies
  *   Collaborative Learning Structures and Techniques
  *   Collaborative Learning Strategies
  *   Effective Online and Blended Course Design
  *   Interaction Techniques in Collaborative Learning
  *   Outcome Metrics and Lessons Learned

Management of Systems:

  *   Institutional Support and Structures
  *   Technological Capacities and Limitations
  *   Inter-organizational Policies and Limitations
  *   Strategic Issues
  *   State-of-the-art Practices

Important Dates:

01/04/2016   Manuscript Central System will begin accepting submissions for AMCIS 2016
03/02/2016   Submission Deadline (10:00 AM PST)

Mini-track Chair:

Rassule Hadidi, Ph.D.
Professor and Head
MIS Department
University of Illinois Springfield
rhadi1 at uis.edu<mailto:rhadi1 at uis.edu>