[AISWorld] CFP: Computer-Based Learning Environments for Deep Learning in Inquiry and Problem-Solving Contexts – Workshop at ICLS 2016, Singapore

[maggie wang]

Computer-Based Learning Environments for Deep Learning in Inquiry and
Problem-Solving Contexts

http://kmel-lab.org/website/deeperlearning.html



An Workshop at the 12th International Conference of the Learning Sciences
(ICLS) 2016, Singapore

https://www.isls.org/icls/2016/preconferencesessions.html



Organizers:

Minhong (Maggie) Wang, University of Hong Kong,

Paul A. Kirschner, Open University of the Netherlands,

Susan M. Bridges, University of Hong Kong



Description:

Learning through inquiry and problem solving, especially with authentic
whole-task experience has been widely promoted in educational practice, and
more recently in computer-based learning environments. Effective learning
with real-world problems and authentic tasks, however, is not easy to
realize because it often involves complex cognitive processes. While such
complexity can overburden learners, instructors and other experts often
underestimate this as the requisite processes have become largely automated
for them due to their experience and expertise. This half-day workshop is
intended to provide a platform for researchers to share: 1) their studies
and findings about how deep learning in inquiry, problem-solving, and
whole-task contexts can be empowered through effective design and
implementation of computer-based learning environments, and appropriate
analysis of learning in such environments; 2) the challenges they
experienced in conducting such design-based research (e.g., methodological
complexity, extended research process, need for domain knowledge, and
commitment to advancing both theory and practice); and 3)useful strategies
to deal with the challenges.



Participation:

Open to all. Key contributors will be invited to submit a short paper
(1,500-2,000 words) outlining the three sharing-points above in a Word file
to Maggie Wang (magwang at hku.hk). The paper should include title, abstract,
own research results (point 1), experienced challenges (point 2), main
strategies (point 3), conclusions, and references.



Pre-workshop activities (for contributors):

March 30, 2016: Submission of short papers due

April 14, 2016: Acceptance notifications

May 15, 2016: 3 slides to be sent to organizers

Registration at the workshop (
https://www.isls.org/icls/2016/registrationrate.html)

June 21, 2016: workshop (9:00am-12:30pm)



Workshop agenda:

The workshop will include short presentations by key contributors to share
findings and key messages; small-group discussion by contributors and other
participants on key questions, challenges, and strategies; and whole-group
discussion to summarize key issues and pragmatic approaches.



Workshop outcomes:

The papers will be published in separate proceedings of the workshop that
will be available at the Workshop’s website (
http://kmel-lab.org/website/deeperlearning.html).

With the ultimate aim of improving situated learning with technology
support, the workshop will help generate a summary of pragmatic approaches
for design and analysis of inquiry, problem-solving, and whole-task
oriented learning in computer-based environments, to be shared among a
broader community, possibly via a special issue of a scientific journal.



Post-workshop activities:

Plans will be made during the workshop to decide on next steps towards
publication in special issue.



Contact:

Participants interested in presenting their work during this workshop may
contact Minhong (Maggie) Wang, magwang at hku.hk

For more details, please visit the workshop website (
http://kmel-lab.org/website/deeperlearning.html).