[edm-announce] IJAIED Special Issue: Creating and Improving Adaptive Learning: Smart Authoring Tools and Processes

  • From: Stephen Fancsali <sfancsali@xxxxxxxxx>
  • To: edm-announce@xxxxxxxxxxxxx
  • Date: Thu, 5 Sep 2019 10:40:16 -0400

[on behalf of Andrew Olney]

IJAIED Special Issue: Creating and Improving Adaptive Learning: Smart
Authoring Tools and Processes

Motivation and Scope

Cyberlearning technologies increasingly seek to offer personalized
learning experiences via adaptive systems that customize pedagogy,
content, feedback, pace, and tone according to the just-in-time needs of
a learner. However, it is historically difficult to 1) create these
smart learning environments, 2) continuously improve them based on
student learning data, 3) facilitate their alignment with learning
objectives and government standards, and 4) customize them to particular
environments or users. For this special issue, we invite paper
submissions that highlight successful tools used to create, improve,
align, and customize adaptive learning environments. Authoring systems
may range from fully human-authored to fully automated; they might
incorporate human input at the student, instructor, administrator, or
external levels; and they might use data-driven techniques to create or
improve aspects of adaptive learning environments. Papers with rigorous
evaluations are particularly encouraged.

Topics of Interest Topics of interest arise from the themes of
adaptability and learning technology, and can include (but are not
limited to):


• Authoring tools that create personalized and adaptive learning
experiences or smart learning environments
• Creation and management of MOOCs with adaptive content
• Tools to support creation and improvement of computerized adaptive
testing (CAT)
• Creation of educational agents
• Authoring systems for science centers and other informal learning
• Authoring for emerging educational technologies like VR/AR/XR if
content is adaptive
• Crowd-sourcing, teacher-sourcing, learner-sourcing of adaptive
learning technologies
• Data-driven improvement of adaptive learning technologies, real-time
and not real-time, including data acquired by ongoing A/B experiments
• Data-driven approaches and machine learning for creating adaptive
learning technologies
• Teachers and trainers as authors for adaptive systems
• Technologies that aid adaptation of systems for specific demographics,
e.g., a particular country or underserved population
• Quality assurance for adaptive learning environments
• Ensuring that learners who engaged a learning environment via
different paths still met learning objectives
• Facilitation of alignment with learning objectives and government
• Adaptability and configurability of systems, to tailor them to local
contexts, teacher preferences, student interest, and so forth
• Systems that control learning experiences via real-time instructor control

Special Issue Associate Editors

Stephen B. Gilbert Iowa State University
Andrew M. Olney University of Memphis
Kelly Rivers Carnegie Mellon University

Important Dates

• Submission of Complete Manuscripts - February 1, 2020
• First decision due to authors - April 1, 2020
• Revisions due - May 15, 2020
• Final decisions to authors - July 15, 2020
Camera-ready version - August 31, 2020

Publication of Special Issue - Each paper will appear on the Online
First soon after it has been accepted and processed.

The full Special Issue will be assembled in the third quarter of 2020.

Submission instructions Submit papers using “Special Issue: Smart
Authoring Tools and Processes” here:

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