[iva] Special Issue of JILR on AI + Learning/Education

[rferdig at gmail.com]

Hi everyone:  The Journal of Interactive Learning Research (JILR) has a CFP
for a special issue on AI and Learning/Education
(https://www.aace.org/pubs/jilr/ai/). I know AI extends beyond IVA, but I
also know there are a lot of researchers on this list doing great empirical
and theoretical work on AI + IVA + Learning. The final issue will be open
access; there are no publishing fees to authors. If you have questions about
the call, or if you are interested in serving on the Editorial Review Board
for JILR, please feel free to contact me at: rferdig at gmail.com
<mailto:rferdig at gmail.com> 

Best, Rick

Call for Papers for Special Issue (Open Access)
Journal of Interactive Learning Research (JILR)
Artificial Intelligence + Education: Love or Hate?
Submission deadline: April 15, 2023
https://aace.org/pubs/JILR/AI
________________________________________________________________________
Important Dates:
Manuscript submission: April 15, 2023
Submit to: https://publish.aace.org/ (choose JILR 34:2, Special Issue on AI)
Reviews returned/Decisions made: May 1, 2023
Final Accepted Papers: May 19, 2023
Publication: Approximately June 2023

Artificial Intelligence (AI) can broadly be defined as the capacity of a
machine to process information and execute tasks by mimicking the abilities
of intelligent and sentient beings. AI has been around for decades; it has a
strong connection to computer science (from machine learning to robotics),
adaptive technologies, and learning. It has enjoyed a rise in popularity
that is due, in part, to the recent availability, interest, and fear of
tools like ChatGTP and MidJourney.

With such AI editors, it is now possible to generate content (e.g., text,
images) from simple prompts at little to no cost. Moreover, these
instruments are surrounded by online communities with millions of active
users who create and discuss their creations. Companies are also
increasingly deploying AI to improve their services and scope, from consumer
services (e.g., smart bots) to content and planning.

However, these same AI tools are now under scrutiny due to the potential
impact of AI on education. For instance, some educators have suggested that
AI has and will replace human intellectual efforts, facilitating plagiarism
and cheating practices among learners at multiple instructional levels. Many
educational institutions are even starting to ban AI software to contain
these risks. Others are raising concerns about AI content's copyright and
applications.

Conversely, other scholars and researchers are starting to explore the
potential benefits of this technology to improve self-reflection, critical
thinking, and inquiry practice. They have even gone so far as to suggest
that it is our responsibility to teach AI to our students and our employees.
As with any interactive innovation, the learning impact of AI depends on the
conditions under which this technology is applied and delivered. Given the
potential affordances and constraints, more theory-driven and empirical
efforts are needed to shed light on leading factors and best practices
related to AI + Education.

This special issue aims to collect an interdisciplinary corpus of work that
addresses the following questions and advances our theoretical and
analytical understanding of AI as applied to human interactive learning
(across disciplines and across the lifespan). Preference will be given to
empirical research, though strong theoretical papers and literature reviews
are also welcomed.

*	What are theory-informed and empirical frameworks that can
facilitate our understanding of AI's instructional implications?
*	How can AI creative editors (e.g., ChatGPT, MidJourney) be used to
promote learning (prek-12 education, higher education, professional
development, corporate training), where learning can include both hard
skills (related to any content area/domain) and soft skills (e.g.,
self-reflection, leadership, clinical judgment, self-confidence)?
*	What solutions can be envisioned and enforced to address the issues
currently associated with AI (e.g., plagiarism, the potential impact on
critical and creative thinking)?
*	What is the role of online communities (e.g., Discord, Reddit) in
informing AI production and awareness for education and training?
Topics of interest include, but are not limited to, the following aspects:
*	AI features and affordances for instructional objectives
*	AI design frameworks and challenges for education 
*	User behaviors and perceptions within AI educational experiences  
*	AI integration in classroom and workforce settings
*	AI-empowered professional development and training
*	Accessibility in AI to promote inclusive interactive learning
*	Evaluation and assessment of instructional AI
*	Student-led AI creation and related learning outcomes
*	Solutions to AI-related issues (e.g., plagiarism) in education and
training
*	Communities of practice in AI-related social media
*	The impact of AI on academic research effort
Questions:  Contact Dr. Rick Ferdig (rferdig at gmail.com
<mailto:rferdig at gmail.com> ) or Dr. Enrico Gandolfi (egandol1 at kent.edu
<mailto:egandol1 at kent.edu> )

JILR information: https://www.aace.org/pubs/jilr/ 


---------------------------------------------------------------
Richard E. Ferdig, PhD, MPH, MA
Summit Professor of Learning Technologies
Professor, Educational Technology (ETEC)
Editor-in-Chief, Journal of Interactive Learning Research
<https://www.aace.org/pubs/jilr/> 

Research Center for Educational Technology
Kent State University
http://www.ferdig.com <http://www.ferdig.com/> 
rferdig at gmail.com <mailto:rferdig at gmail.com>  
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