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

Deadline extended to April 1

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 environments
* 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 standards
* 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 April 1, 2020
First decision due to authors June 1, 2020
Revisions due July 15, 2020
Final decisions to authors September 15, 2020
Camera-ready version October 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 fourth quarter of 2020.

Submission instructions

Submit papers at https://www.editorialmanager.com/aied/default.aspx using “Special Issue: Smart Authoring Tools and Processes”